Method and system for monitoring running error of electric energy meter based on accuracy grade of mutual inductor

文档序号:876219 发布日期:2021-03-19 浏览:2次 中文

阅读说明:本技术 基于互感器准确度等级的电能表运行误差监测方法及系统 (Method and system for monitoring running error of electric energy meter based on accuracy grade of mutual inductor ) 是由 陈霄 张博 周玉 张德进 徐鸣飞 崔高颖 邵雪松 蔡奇新 季欣荣 李悦 于 2020-11-23 设计创作,主要内容包括:本申请提出一种基于互感器准确度等级的电能表运行误差监测方法及系统,涉及电力技术领域,通过在目标电能组网内确定出目标电能表,并根据目标电能表的互感器状态与对照电能表的互感器状态之间的第一相对准确度,将对照电能表和目标电能表各自对应的电能表参数进行融合,得到虚拟电能表参数;然后根据虚拟电能表参数的互感器状态与目标电能表的互感器状态之间的第二相对准确度、以及目标电能表所采集的电能表参数,对目标电能表进行误差计算处理,以得到目标电能误差。如此,能够计算出更精确的目标电能表的目标电能误差,从而提高电能表的采集精度。(The application provides an electric energy meter operation error monitoring method and system based on transformer accuracy grade, and relates to the technical field of electric power, a target electric energy meter is determined in a target electric energy networking, and electric energy meter parameters corresponding to a comparison electric energy meter and the target electric energy meter are fused according to first relative accuracy between a transformer state of the target electric energy meter and a transformer state of the comparison electric energy meter, so that virtual electric energy meter parameters are obtained; and then according to the second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter and the electric energy meter parameter collected by the target electric energy meter, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error. Therefore, the target electric energy error of the target electric energy meter can be calculated more accurately, and the acquisition precision of the electric energy meter is improved.)

1. The method for monitoring the running error of the electric energy meter based on the accuracy grade of the mutual inductor is characterized by comprising the following steps of:

determining a target electric energy meter in a target electric energy grid;

analyzing a first relative accuracy between a transformer state of the target electric energy meter and a transformer state of a comparison electric energy meter, wherein the comparison electric energy meter is determined from electric energy meters in a comparison working group network;

fusing electric energy meter parameters corresponding to the comparison electric energy meter and the target electric energy meter respectively according to the first relative accuracy to obtain virtual electric energy meter parameters, wherein the virtual electric energy meter parameters comprise virtual electric energy acquisition parameters of the virtual electric energy meter and states of a virtual mutual inductor;

analyzing second phase alignment accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter;

and according to the second relative accuracy and the electric energy meter parameters collected by the target electric energy meter, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error.

2. The method of claim 1, wherein said fusing respective corresponding power meter parameters of said reference power meter and said target power meter according to said first relative accuracy to obtain virtual power meter parameters comprises:

extracting initial electric energy meter parameters with the same dimensionality as the target electric energy meter from the comparison electric energy meter to obtain a first initial electric energy meter parameter set;

and according to the first relative accuracy, proportionally fusing the electric energy meter parameters in the first initial electric energy meter parameter set with the electric energy meter parameters corresponding to the target electric energy meter to obtain virtual electric energy meter parameters.

3. The method of claim 2, wherein the transformer state of the target power meter comprises: working states of the transformers corresponding to the target electric energy meter and accuracy levels of the transformers corresponding to the target electric energy meter;

the mutual inductor state of the comparison electric energy meter comprises the following steps: comparing the working state of the mutual inductor corresponding to the electric energy meter and the accuracy grade of the mutual inductor corresponding to the electric energy meter;

the analyzing a first relative accuracy between the transformer state of the target electric energy meter and the transformer state of the comparison electric energy meter includes:

respectively acquiring reference coefficients corresponding to respective transformer accuracy levels of the target electric energy meter and the comparison electric energy meter to obtain a first transformer reference coefficient and a second transformer reference coefficient;

calculating a first ratio between the first transformer reference coefficient and the second transformer reference coefficient to obtain the first relative accuracy;

the step of proportionally fusing the electric energy meter parameters in the first initial electric energy meter parameter set with the electric energy meter parameters corresponding to the target electric energy meter according to the first relative accuracy to obtain virtual electric energy meter parameters includes:

determining a first relative conversion coefficient of the target electric energy meter relative to the comparison electric energy meter based on a first ratio between the first transformer reference coefficient and the second transformer reference coefficient, wherein the first relative conversion coefficient is used for indicating a proportionality coefficient for fusing an electric energy meter parameter corresponding to the target electric energy meter and an electric energy meter parameter corresponding to the comparison electric energy meter;

processing the electric energy meter parameters in the first initial electric energy meter parameter set according to the first relative conversion coefficient, and generating initial electric energy meter parameters corresponding to each electric energy meter parameter as a first initial conversion parameter set;

and superposing the electric energy meter parameters in the first initial conversion parameter set and the electric energy meter parameters corresponding to the target electric energy meter according to a preset proportionality coefficient to generate virtual electric energy meter parameters.

4. The method according to claim 1, wherein the performing error calculation processing on the target electric energy meter according to the second relative accuracy and the electric energy meter parameter collected by the target electric energy meter to obtain a target electric energy error comprises:

determining initial electric energy meter parameters from the virtual electric energy meter parameters according to the second relative accuracy and the transformer accuracy grade included in the virtual electric energy meter parameters to obtain a second initial electric energy meter parameter set;

and according to the electric energy meter parameters and the second initial electric energy meter parameter set, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error.

5. The method of claim 4, wherein the transformer state of the target power meter comprises: working states of the transformers corresponding to the target electric energy meter and accuracy levels of the transformers corresponding to the target electric energy meter;

the transformer states of the virtual electric energy meter parameters comprise: the transformer accuracy grade corresponding to the virtual electric energy meter parameter;

the analyzing of the second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter includes:

respectively acquiring reference coefficients corresponding to respective transformer accuracy levels of the target electric energy meter and the virtual electric energy meter, and acquiring a third transformer reference coefficient and a fourth transformer reference coefficient;

calculating a second ratio between the third transformer reference coefficient and the fourth transformer reference coefficient to obtain the second relative accuracy;

determining initial electric energy meter parameters from the virtual electric energy meter parameters according to the second relative accuracy and the transformer accuracy grade included in the virtual electric energy meter parameters to obtain a second initial electric energy meter parameter set, wherein the second initial electric energy meter parameter set comprises:

determining a second relative conversion coefficient of the target electric energy meter relative to the virtual electric energy meter parameter based on a second ratio between the third transformer reference coefficient and the fourth transformer reference coefficient, wherein the second relative conversion coefficient is used for indicating a proportionality coefficient for fusing an electric energy meter parameter corresponding to the target electric energy meter and an electric energy meter parameter corresponding to the virtual electric energy meter parameter;

and processing the electric energy meter parameters in the virtual electric energy meter parameters according to the second relative conversion coefficient and the transformer accuracy grade corresponding to the virtual electric energy meter parameters to generate and obtain a second initial electric energy meter parameter set.

6. The method of claim 5, wherein said error calculation processing of said target power meter based on said power meter parameters and said second set of initial power meter parameters comprises:

performing disaster tolerance calculation based on the electric energy meter parameters in the target electric energy meter and the second initial electric energy meter parameter set to generate a second initial conversion parameter set;

and calculating the deviation of the electric energy meter parameters in the target electric energy meter relative to the electric energy meter parameters in the second initial conversion parameter set so as to carry out error calculation processing on the target electric energy meter.

7. The method of claim 1, wherein determining the target electric energy meter within the target electric energy grid comprises:

acquiring working state parameters of each electric energy meter corresponding to each electric energy meter in a target electric energy networking;

determining an initial screening electric energy meter set based on the electric energy meter working state parameters corresponding to each electric energy meter in the target electric energy network;

obtaining a reference coefficient corresponding to each electric energy meter in the initial screening electric energy meter set;

determining a reference difference value between any two electric energy meters in the initial screening electric energy meter set according to the reference coefficient of each electric energy meter in the initial screening electric energy meter set;

determining a third relative conversion coefficient of each electric energy meter in the initial screening electric energy meter set corresponding to other electric energy meters based on a reference difference value between any two electric energy meters, wherein the third relative conversion coefficient is used for indicating a proportionality coefficient for fusing each electric energy meter in the initial screening electric energy meter set with respective electric energy meter parameters of other electric energy meters;

and screening the electric energy meters in the initial screening electric energy meter set according to the third relative conversion coefficient to obtain the target electric energy meter.

8. The method of claim 1, wherein prior to said determining a target energy meter within a target electrical energy grid, the method further comprises:

acquiring electric energy meter parameters of each electric energy meter in a comparison working group;

screening the electric energy meters in the comparison working networks according to a set preliminary screening strategy to construct a plurality of reference comparison networks, wherein each reference comparison network comprises at least one electric energy meter in the comparison working network;

the multiple reference comparison networks are sorted according to the number of the included electric energy meters, multiple candidate electric energy meters with the highest frequency of occurrence are determined from the sorted multiple reference comparison networks according to a preset topk strategy, and the multiple candidate electric energy meters are combined into a candidate set;

acquiring a reference coefficient of each candidate electric energy meter in the candidate set;

determining a reference difference value between any two candidate electric energy meters in the candidate set according to the reference coefficient of each candidate electric energy meter;

determining a fourth relative conversion coefficient of each candidate electric energy meter in the candidate set relative to other candidate electric energy meters based on a reference difference value between any two candidate electric energy meters in the candidate set, wherein the fourth relative conversion coefficient is used for indicating a proportionality coefficient for fusing each candidate electric energy meter in the candidate set with respective electric energy meter parameters of other candidate electric energy meters;

and screening the candidate electric energy meters in the candidate set according to the fourth relative conversion coefficient so as to screen comparison electric energy meters in the candidate set.

9. The method of claim 8, wherein the screening the candidate electric energy meters in the candidate set according to the fourth relative conversion coefficient to screen out comparison electric energy meters in the candidate set comprises:

initializing a fourth relative conversion coefficient of each candidate electric energy meter for a plurality of candidate electric energy meters in the candidate set;

determining a plurality of target fourth relative conversion coefficients reaching a set conversion coefficient threshold value from the plurality of fourth relative conversion coefficients;

obtaining a conversion coefficient interval of each fourth relative conversion coefficient in a preset conversion coefficient mapping relation, and obtaining an interval score condition of each target fourth relative conversion coefficient; the conversion coefficient mapping relation comprises a plurality of conversion coefficient intervals, each conversion coefficient interval comprises a plurality of dead-ground relative conversion coefficients, the number of fourth relative conversion coefficients contained in each conversion coefficient interval is at least four, and the interval score condition of the target fourth relative conversion coefficient comprises an interval importance degree score and an interval length distribution concentration score;

sequencing all the fourth relative conversion coefficients of the targets according to the arrangement sequence of the importance degree scores of the corresponding intervals from large to small;

traversing all the fourth relative conversion coefficients in sequence according to the arrangement sequence, and taking the two target fourth relative conversion coefficients at the head and the tail of the arrangement sequence as a fourth relative conversion coefficient sequence;

if the target fourth relative conversion coefficient ranked in the middle is one, taking the target fourth relative conversion coefficient as a fourth relative conversion coefficient sequence, wherein the sum of the section importance degree scores of the fourth relative conversion coefficients in each fourth relative conversion coefficient sequence is taken as the section importance degree score of the fourth relative conversion coefficient sequence, and the maximum section length distribution concentration score of the fourth relative conversion coefficient in the fourth relative conversion coefficient sequence is taken as the section length distribution concentration score of the fourth relative conversion coefficient sequence;

determining the maximum value of the interval importance degree score of the fourth relative conversion coefficient sequence as the current interval importance degree score of the conversion coefficient mapping relation, and determining the sum of the interval length distribution concentration scores of the fourth relative conversion coefficient sequence as the current interval length distribution concentration score of the conversion coefficient mapping relation;

updating the conversion coefficient mapping relation according to each interval score condition in the conversion coefficient mapping relation, and distributing a plurality of target fourth relative conversion coefficients to the updated conversion coefficient mapping relation;

and determining the conversion coefficient interval with the highest interval importance degree score in the updated conversion coefficient mapping relation as a target conversion coefficient interval, and determining a candidate electric energy meter corresponding to a fourth relative conversion coefficient mapped in the target conversion coefficient interval as a comparison electric energy meter.

10. The utility model provides an electric energy meter running error monitoring system based on mutual-inductor degree of accuracy which characterized in that, the system includes:

the processing module is used for determining a target electric energy meter in a target electric energy grid;

the processing module is further used for analyzing a first relative accuracy between the transformer state of the target electric energy meter and the transformer state of a comparison electric energy meter, wherein the comparison electric energy meter is determined from the electric energy meters in the comparison work group network;

the processing module is further configured to fuse corresponding electric energy meter parameters of the comparison electric energy meter and the target electric energy meter according to the first relative accuracy to obtain virtual electric energy meter parameters, wherein the virtual electric energy meter parameters include virtual electric energy acquisition parameters of a virtual electric energy meter and states of a virtual transformer;

the processing module is further used for analyzing second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter;

and the error calculation module is used for performing error calculation processing on the target electric energy meter according to the second relative accuracy and the electric energy meter parameters collected by the target electric energy meter to obtain a target electric energy error.

Technical Field

The application relates to the technical field of electric power, in particular to a method and a system for monitoring running errors of an electric energy meter based on the accuracy grade of a mutual inductor.

Background

The current transformer has wider application in the control, protection, measurement and other applications of the power system, and particularly can effectively reduce the measurement error by utilizing some transformers meeting the required accuracy grade in some measurement scenes with higher accuracy requirements.

However, in the prior art, when the current transformer is used for calculating the measurement error of the electric energy meter, only the influence of the accuracy of the transformer is generally considered, and the calculation precision is low.

Disclosure of Invention

The application aims to provide a method and a system for monitoring running errors of an electric energy meter based on the accuracy grade of a transformer, so as to solve at least part of technical problems.

In order to achieve the purpose, the technical scheme adopted by the application is as follows:

in a first aspect, the present application provides a method for monitoring an operation error of an electric energy meter based on an accuracy level of a transformer, the method including:

determining a target electric energy meter in a target electric energy grid;

analyzing a first relative accuracy between a transformer state of the target electric energy meter and a transformer state of a comparison electric energy meter, wherein the comparison electric energy meter is determined from electric energy meters in a comparison working group network;

fusing electric energy meter parameters corresponding to the comparison electric energy meter and the target electric energy meter respectively according to the first relative accuracy to obtain virtual electric energy meter parameters, wherein the virtual electric energy meter parameters comprise virtual electric energy acquisition parameters of the virtual electric energy meter and states of a virtual mutual inductor;

analyzing second phase alignment accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter;

and according to the second relative accuracy and the electric energy meter parameters collected by the target electric energy meter, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error.

Optionally, as an implementation manner, the fusing the electric energy meter parameters corresponding to the comparison electric energy meter and the target electric energy meter according to the first relative accuracy to obtain virtual electric energy meter parameters includes:

extracting initial electric energy meter parameters with the same dimensionality as the target electric energy meter from the comparison electric energy meter to obtain a first initial electric energy meter parameter set;

and according to the first relative accuracy, proportionally fusing the electric energy meter parameters in the first initial electric energy meter parameter set with the electric energy meter parameters corresponding to the target electric energy meter to obtain virtual electric energy meter parameters.

Optionally, as an embodiment, the transformer state of the target electric energy meter includes: working states of the transformers corresponding to the target electric energy meter and accuracy levels of the transformers corresponding to the target electric energy meter;

the mutual inductor state of the comparison electric energy meter comprises the following steps: comparing the working state of the mutual inductor corresponding to the electric energy meter and the accuracy grade of the mutual inductor corresponding to the electric energy meter;

the analyzing a first relative accuracy between the transformer state of the target electric energy meter and the transformer state of the comparison electric energy meter includes:

respectively acquiring reference coefficients corresponding to respective transformer accuracy levels of the target electric energy meter and the comparison electric energy meter to obtain a first transformer reference coefficient and a second transformer reference coefficient;

calculating a first ratio between the first transformer reference coefficient and the second transformer reference coefficient to obtain the first relative accuracy;

the step of proportionally fusing the electric energy meter parameters in the first initial electric energy meter parameter set with the electric energy meter parameters corresponding to the target electric energy meter according to the first relative accuracy to obtain virtual electric energy meter parameters includes:

determining a first relative conversion coefficient of the target electric energy meter relative to the comparison electric energy meter based on a first ratio between the first transformer reference coefficient and the second transformer reference coefficient, wherein the first relative conversion coefficient is used for indicating a proportionality coefficient for fusing an electric energy meter parameter corresponding to the target electric energy meter and an electric energy meter parameter corresponding to the comparison electric energy meter;

processing the electric energy meter parameters in the first initial electric energy meter parameter set according to the first relative conversion coefficient, and generating initial electric energy meter parameters corresponding to each electric energy meter parameter as a first initial conversion parameter set;

and superposing the electric energy meter parameters in the first initial conversion parameter set and the electric energy meter parameters corresponding to the target electric energy meter according to a preset proportionality coefficient to generate virtual electric energy meter parameters.

Optionally, as an implementation manner, the performing error calculation processing on the target electric energy meter according to the second relative accuracy and the electric energy meter parameter collected by the target electric energy meter to obtain a target electric energy error includes:

determining initial electric energy meter parameters from the virtual electric energy meter parameters according to the second relative accuracy and the transformer accuracy grade included in the virtual electric energy meter parameters to obtain a second initial electric energy meter parameter set;

and according to the electric energy meter parameters and the second initial electric energy meter parameter set, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error.

Optionally, as an embodiment, the transformer state of the target electric energy meter includes: working states of the transformers corresponding to the target electric energy meter and accuracy levels of the transformers corresponding to the target electric energy meter;

the transformer states of the virtual electric energy meter parameters comprise: the transformer accuracy grade corresponding to the virtual electric energy meter parameter;

the analyzing of the second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter includes:

respectively acquiring reference coefficients corresponding to respective transformer accuracy levels of the target electric energy meter and the virtual electric energy meter, and acquiring a third transformer reference coefficient and a fourth transformer reference coefficient;

calculating a second ratio between the third transformer reference coefficient and the fourth transformer reference coefficient to obtain the second relative accuracy;

determining initial electric energy meter parameters from the virtual electric energy meter parameters according to the second relative accuracy and the transformer accuracy grade included in the virtual electric energy meter parameters to obtain a second initial electric energy meter parameter set, wherein the second initial electric energy meter parameter set comprises:

determining a second relative conversion coefficient of the target electric energy meter relative to the virtual electric energy meter parameter based on a second ratio between the third transformer reference coefficient and the fourth transformer reference coefficient, wherein the second relative conversion coefficient is used for indicating a proportionality coefficient for fusing an electric energy meter parameter corresponding to the target electric energy meter and an electric energy meter parameter corresponding to the virtual electric energy meter parameter;

and processing the electric energy meter parameters in the virtual electric energy meter parameters according to the second relative conversion coefficient and the transformer accuracy grade corresponding to the virtual electric energy meter parameters to generate and obtain a second initial electric energy meter parameter set.

Optionally, as an implementation manner, the performing, according to the electric energy meter parameter and the second initial electric energy meter parameter set, an error calculation process on the target electric energy meter includes:

performing disaster tolerance calculation based on the electric energy meter parameters in the target electric energy meter and the second initial electric energy meter parameter set to generate a second initial conversion parameter set;

and calculating the deviation of the electric energy meter parameters in the target electric energy meter relative to the electric energy meter parameters in the second initial conversion parameter set so as to carry out error calculation processing on the target electric energy meter.

Optionally, as an implementation manner, the determining a target electric energy meter in a target electric energy grid includes:

acquiring working state parameters of each electric energy meter corresponding to each electric energy meter in a target electric energy networking;

determining an initial screening electric energy meter set based on the electric energy meter working state parameters corresponding to each electric energy meter in the target electric energy network;

obtaining a reference coefficient corresponding to each electric energy meter in the initial screening electric energy meter set;

determining a reference difference value between any two electric energy meters in the initial screening electric energy meter set according to the reference coefficient of each electric energy meter in the initial screening electric energy meter set;

determining a third relative conversion coefficient of each electric energy meter in the initial screening electric energy meter set corresponding to other electric energy meters based on a reference difference value between any two electric energy meters, wherein the third relative conversion coefficient is used for indicating a proportionality coefficient for fusing each electric energy meter in the initial screening electric energy meter set with respective electric energy meter parameters of other electric energy meters;

and screening the electric energy meters in the initial screening electric energy meter set according to the third relative conversion coefficient to obtain the target electric energy meter.

Optionally, as an embodiment, before the determining the target electric energy meter in the target electric energy grid, the method further includes:

acquiring electric energy meter parameters of each electric energy meter in a comparison working group;

screening the electric energy meters in the comparison working networks according to a set preliminary screening strategy to construct a plurality of reference comparison networks, wherein each reference comparison network comprises at least one electric energy meter in the comparison working network;

the multiple reference comparison networks are sorted according to the number of the included electric energy meters, multiple candidate electric energy meters with the highest frequency of occurrence are determined from the sorted multiple reference comparison networks according to a preset topk strategy, and the multiple candidate electric energy meters are combined into a candidate set;

acquiring a reference coefficient of each candidate electric energy meter in the candidate set;

determining a reference difference value between any two candidate electric energy meters in the candidate set according to the reference coefficient of each candidate electric energy meter;

determining a fourth relative conversion coefficient of each candidate electric energy meter in the candidate set relative to other candidate electric energy meters based on a reference difference value between any two candidate electric energy meters in the candidate set, wherein the fourth relative conversion coefficient is used for indicating a proportionality coefficient for fusing each candidate electric energy meter in the candidate set with respective electric energy meter parameters of other candidate electric energy meters;

and screening the candidate electric energy meters in the candidate set according to the fourth relative conversion coefficient so as to screen comparison electric energy meters in the candidate set.

Optionally, as an embodiment, the screening the candidate electric energy meters in the candidate set according to the fourth relative conversion coefficient to screen comparison electric energy meters in the candidate set includes:

initializing a fourth relative conversion coefficient of each candidate electric energy meter for a plurality of candidate electric energy meters in the candidate set;

determining a plurality of target fourth relative conversion coefficients reaching a set conversion coefficient threshold value from the plurality of fourth relative conversion coefficients;

obtaining a conversion coefficient interval of each fourth relative conversion coefficient in a preset conversion coefficient mapping relation, and obtaining an interval score condition of each target fourth relative conversion coefficient; the conversion coefficient mapping relation comprises a plurality of conversion coefficient intervals, each conversion coefficient interval comprises a plurality of dead-ground relative conversion coefficients, the number of fourth relative conversion coefficients contained in each conversion coefficient interval is at least four, and the interval score condition of the target fourth relative conversion coefficient comprises an interval importance degree score and an interval length distribution concentration score;

sequencing all the fourth relative conversion coefficients of the targets according to the arrangement sequence of the importance degree scores of the corresponding intervals from large to small;

traversing all the fourth relative conversion coefficients in sequence according to the arrangement sequence, and taking the two target fourth relative conversion coefficients at the head and the tail of the arrangement sequence as a fourth relative conversion coefficient sequence;

if the target fourth relative conversion coefficient ranked in the middle is one, taking the target fourth relative conversion coefficient as a fourth relative conversion coefficient sequence, wherein the sum of the section importance degree scores of the fourth relative conversion coefficients in each fourth relative conversion coefficient sequence is taken as the section importance degree score of the fourth relative conversion coefficient sequence, and the maximum section length distribution concentration score of the fourth relative conversion coefficient in the fourth relative conversion coefficient sequence is taken as the section length distribution concentration score of the fourth relative conversion coefficient sequence;

determining the maximum value of the interval importance degree score of the fourth relative conversion coefficient sequence as the current interval importance degree score of the conversion coefficient mapping relation, and determining the sum of the interval length distribution concentration scores of the fourth relative conversion coefficient sequence as the current interval length distribution concentration score of the conversion coefficient mapping relation;

updating the conversion coefficient mapping relation according to each interval score condition in the conversion coefficient mapping relation, and distributing a plurality of target fourth relative conversion coefficients to the updated conversion coefficient mapping relation;

and determining the conversion coefficient interval with the highest interval importance degree score in the updated conversion coefficient mapping relation as a target conversion coefficient interval, and determining a candidate electric energy meter corresponding to a fourth relative conversion coefficient mapped in the target conversion coefficient interval as a comparison electric energy meter.

In a second aspect, the present application provides a system for monitoring an operating error of an electric energy meter based on a level of accuracy of a transformer, the system comprising:

the processing module is used for determining a target electric energy meter in a target electric energy grid;

the processing module is further used for analyzing a first relative accuracy between the transformer state of the target electric energy meter and the transformer state of a comparison electric energy meter, wherein the comparison electric energy meter is determined from the electric energy meters in the comparison work group network;

the processing module is further configured to fuse corresponding electric energy meter parameters of the comparison electric energy meter and the target electric energy meter according to the first relative accuracy to obtain virtual electric energy meter parameters, wherein the virtual electric energy meter parameters include virtual electric energy acquisition parameters of a virtual electric energy meter and states of a virtual transformer;

the processing module is further used for analyzing second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter;

and the error calculation module is used for performing error calculation processing on the target electric energy meter according to the second relative accuracy and the electric energy meter parameters collected by the target electric energy meter to obtain a target electric energy error.

According to the method and the system for monitoring the running error of the electric energy meter based on the accuracy grade of the mutual inductor, the target electric energy meter is determined in the target electric energy networking, and electric energy meter parameters corresponding to the comparison electric energy meter and the target electric energy meter are fused according to the first relative accuracy between the mutual inductor state of the target electric energy meter and the mutual inductor state of the comparison electric energy meter, so that virtual electric energy meter parameters are obtained; and then according to the second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter and the electric energy meter parameter collected by the target electric energy meter, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error. Therefore, the target electric energy error of the target electric energy meter can be calculated more accurately, and the acquisition precision of the electric energy meter is improved.

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly explain the technical solutions of the present application, the drawings needed for the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also derive other related drawings from these drawings without inventive effort.

Fig. 1 is a flowchart of an electric energy meter operation error monitoring method based on a transformer accuracy level provided by the present application.

Fig. 2 is a block diagram of a structure of an electric energy meter operation error monitoring system based on a transformer accuracy level provided by the present application.

Detailed Description

To make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings in some embodiments of the present application, and it is obvious that the described embodiments are some, but not all embodiments of the present application. The components of the present application, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments obtained by a person of ordinary skill in the art based on a part of the embodiments in the present application without any creative effort belong to the protection scope of the present application.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.

Referring to fig. 1, fig. 1 is a flowchart of an electric energy meter operation error monitoring method based on a transformer accuracy level according to the present application, where the electric energy meter operation error monitoring method based on the transformer accuracy level may include the following steps:

and S110, determining a target electric energy meter in the target electric energy grid.

In this embodiment, the target electric energy monitoring network may include a plurality of electric energy meters, and when the method for monitoring the operation error of the electric energy meter based on the accuracy level of the transformer provided by the present application is executed, a target electric energy meter may be determined from the target electric energy monitoring network, so as to calculate the target electric energy error corresponding to the target electric energy meter.

And S120, resolving a first relative accuracy between the transformer state of the target electric energy meter and the transformer state of the comparison electric energy meter.

In this embodiment, the target electric energy meter corresponds to a comparison electric energy meter, the comparison electric energy meter can be used as a reference standard electric energy meter, the target electric energy meter is regarded as a normally working electric energy meter, and the comparison electric energy meter is determined from electric energy meters in a comparison working team.

In this embodiment, based on the respective transformer states of the target electric energy meter and the comparison electric energy meter, a first relative accuracy between the transformer state of the target electric energy meter and the transformer state of the comparison electric energy meter may be analyzed.

And S130, fusing electric energy meter parameters corresponding to the comparison electric energy meter and the target electric energy meter respectively according to the first relative accuracy to obtain virtual electric energy meter parameters.

In this embodiment, based on the first relative accuracy, a virtual electric energy meter may be virtualized, and electric energy meter parameters corresponding to the comparison electric energy meter and the target electric energy meter are fused according to the first relative accuracy, so as to obtain virtual electric energy meter parameters corresponding to the virtual electric energy meter, where the virtual electric energy meter parameters include a virtual electric energy acquisition parameter of the virtual electric energy meter and a virtual transformer state.

And S140, resolving second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter.

In this embodiment, based on the virtual electric energy meter virtualized in S130 and the virtual electric energy meter parameter corresponding to the virtual electric energy meter, the second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter may be analyzed.

S150, according to the second relative accuracy and the electric energy meter parameters collected by the target electric energy meter, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error.

In this embodiment, after the second relative accuracy is calculated, the target electric energy meter is subjected to error calculation processing according to the second relative accuracy and the electric energy meter parameters collected by the target electric energy meter, so as to obtain a more accurate target electric energy error.

Therefore, in the embodiment of the application, the target electric energy meter is determined in the target electric energy networking, and electric energy meter parameters corresponding to the comparison electric energy meter and the target electric energy meter are fused according to the first relative accuracy between the transformer state of the target electric energy meter and the transformer state of the comparison electric energy meter to obtain the virtual electric energy meter parameters; and then according to the second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter and the electric energy meter parameter collected by the target electric energy meter, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error. Therefore, the target electric energy error of the target electric energy meter can be calculated more accurately, and the acquisition precision of the electric energy meter is improved.

As an implementation manner, when S110 is executed to determine a target electric energy meter in a target electric energy grid, the electric energy meter working state parameter corresponding to each electric energy meter in the target electric energy grid may be obtained first.

And then, determining an initial screening electric energy meter set based on the electric energy meter working state parameters corresponding to each electric energy meter in the target electric energy network.

And then, obtaining a reference coefficient corresponding to each electric energy meter in the initial screening electric energy meter set.

In this embodiment, the reference coefficient corresponding to each electric energy meter may be pre-configured.

And then, according to the reference coefficient of each electric energy meter in the initial screening electric energy meter set, determining a reference difference value between any two electric energy meters in the initial screening electric energy meter set.

And then, determining a third relative conversion coefficient of each electric energy meter in the initial screening electric energy meter set corresponding to other electric energy meters based on a reference difference value between any two electric energy meters, wherein the third relative conversion coefficient is used for indicating a proportionality coefficient for fusing each electric energy meter in the initial screening electric energy meter set with respective electric energy meter parameters of other electric energy meters.

And then, screening the electric energy meters in the initial screening electric energy meter set according to the third relative conversion coefficient to obtain a target electric energy meter.

In this embodiment, the corresponding electric energy meter with the largest relative conversion coefficient of the third phase may be selected as the target electric energy meter.

Therefore, according to the scheme provided by the application, the electric energy meter with the largest proportional coefficient fused with the electric energy meter parameters of other electric energy meters can be determined in the target electric energy networking as the target electric energy meter, and therefore the accuracy in fusion is improved.

In addition, as a possible implementation manner, when S130 is executed to obtain the virtual electric energy meter parameter, the following scheme may be adopted:

firstly, extracting initial electric energy meter parameters with the same dimensionality as the target electric energy meter from the comparison electric energy meter to obtain a first initial electric energy meter parameter set.

In this embodiment, the target electric energy meter may have electric energy meter parameters of multiple dimensions.

And then, according to the first relative accuracy, proportionally fusing the electric energy meter parameters in the first initial electric energy meter parameter set with the electric energy meter parameters corresponding to the target electric energy meter to obtain virtual electric energy meter parameters.

In one embodiment, the transformer state of the target electric energy meter includes: the working state of the mutual inductor corresponding to the target electric energy meter and the accuracy grade of the mutual inductor corresponding to the target electric energy meter.

The mutual inductor state of the comparison electric energy meter comprises the following steps: comparing the working state of the mutual inductor corresponding to the electric energy meter and the accuracy grade of the mutual inductor corresponding to the electric energy meter;

therefore, when S120 is executed to resolve a first relative accuracy between the transformer states of the target power meter and the comparison power meter, the following scheme may be adopted:

firstly, reference coefficients corresponding to respective transformer accuracy levels of the target electric energy meter and the comparison electric energy meter are respectively obtained, and a first transformer reference coefficient and a second transformer reference coefficient are obtained.

Then, a first ratio between the first transformer reference coefficient and the second transformer reference coefficient is calculated to obtain the first relative accuracy.

Based on this, when the electric energy meter parameters in the first initial electric energy meter parameter set are proportionally fused with the electric energy meter parameters corresponding to the target electric energy meter according to the first relative accuracy to obtain the virtual electric energy meter parameters, the following scheme may be adopted:

firstly, determining a first relative conversion coefficient of the target electric energy meter relative to the comparison electric energy meter based on a first ratio between the first transformer reference coefficient and the second transformer reference coefficient, wherein the first relative conversion coefficient is used for indicating a proportionality coefficient for fusing an electric energy meter parameter corresponding to the target electric energy meter and an electric energy meter parameter corresponding to the comparison electric energy meter.

And then, processing the electric energy meter parameters in the first initial electric energy meter parameter set according to the first relative conversion coefficient, and generating initial electric energy meter parameters corresponding to each electric energy meter parameter as a first initial conversion parameter set.

And then, superposing the electric energy meter parameters in the first initial conversion parameter set and the electric energy meter parameters corresponding to the target electric energy meter according to a preset proportionality coefficient to generate virtual electric energy meter parameters.

On the other hand, when S150 is executed to obtain the target power error, an initial power meter parameter may be determined from the virtual power meter parameters according to the second relative accuracy and the transformer accuracy level included in the virtual power meter parameters, so as to obtain a second initial power meter parameter set.

And then, according to the electric energy meter parameters and the second initial electric energy meter parameter set, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error.

In one embodiment, the transformer state of the target electric energy meter includes: the working state of the mutual inductor corresponding to the target electric energy meter and the accuracy grade of the mutual inductor corresponding to the target electric energy meter.

The transformer states of the virtual electric energy meter parameters comprise: and the accuracy grade of the mutual inductor corresponding to the virtual electric energy meter parameters.

Based on this, when S140 is executed to resolve the second relative accuracy between the transformer state of the virtual power meter parameter and the transformer state of the target power meter: reference coefficients corresponding to respective transformer accuracy levels of the target electric energy meter and the virtual electric energy meter parameters can be obtained respectively, and a third transformer reference coefficient and a fourth transformer reference coefficient are obtained.

And then, calculating a second ratio between the third transformer reference coefficient and the fourth transformer reference coefficient to obtain the second relative accuracy.

Therefore, when the initial electric energy meter parameter is determined from the virtual electric energy meter parameter according to the second relative accuracy and the transformer accuracy level included in the virtual electric energy meter parameter to obtain the second initial electric energy meter parameter set, the second relative conversion coefficient of the target electric energy meter relative to the virtual electric energy meter parameter may be determined based on the second ratio between the third transformer reference coefficient and the fourth transformer reference coefficient, where the second relative conversion coefficient is used to indicate the proportionality coefficient for fusing the electric energy meter parameter corresponding to the target electric energy meter and the electric energy meter parameter corresponding to the virtual electric energy meter parameter.

And then, processing the electric energy meter parameters in the virtual electric energy meter parameters according to the second relative conversion coefficient and the transformer accuracy grade corresponding to the virtual electric energy meter parameters to generate and obtain a second initial electric energy meter parameter set.

Specifically, as an implementation manner, when performing error calculation processing on the target electric energy meter according to the electric energy meter parameters and the second initial electric energy meter parameter set, disaster tolerance calculation may be performed on the basis of the electric energy meter parameters in the target electric energy meter and the second initial electric energy meter parameter set, so as to generate a second initial conversion parameter set.

And then, calculating the deviation of the electric energy meter parameters in the target electric energy meter relative to the electric energy meter parameters in the second initial conversion parameter set so as to carry out error calculation processing on the target electric energy meter.

Therefore, by means of the scheme, the target electric energy error corresponding to the target electric energy meter can be accurately calculated.

It should be noted that, in the process of performing S120, since it is required to calculate a first relative accuracy between the transformer state of the target power meter and the transformer state of the comparison power meter, before performing S110, the power meter operation error monitoring method based on the transformer accuracy level may further include the following steps to determine the comparison power meter:

firstly, electric energy meter parameters of each electric energy meter in a comparison working group network are obtained.

And then, screening the electric energy meters in the comparison working networks according to a set preliminary screening strategy to construct a plurality of reference comparison networks, wherein each reference comparison network comprises at least one electric energy meter in the comparison working network.

And then, sequencing the plurality of reference comparison networking networks according to the number of the included electric energy meters, determining a plurality of candidate electric energy meters with the highest occurrence frequency from the sequenced plurality of reference comparison networking networks according to a preset topk strategy, and combining the plurality of candidate electric energy meters into a candidate set.

In this embodiment, the value of k in the topk policy may take 3.

Then, a reference coefficient of each candidate electric energy meter in the candidate set is obtained.

And then, determining a reference difference value between any two candidate electric energy meters in the candidate set according to the reference coefficient of each candidate electric energy meter.

Then, based on a reference difference value between any two candidate electric energy meters in the candidate set, determining a fourth relative conversion coefficient of each candidate electric energy meter in the candidate set relative to other candidate electric energy meters, wherein the fourth relative conversion coefficient is used for indicating a proportionality coefficient for fusing electric energy meter parameters of each candidate electric energy meter in the candidate set with electric energy meter parameters of other candidate electric energy meters.

And then, screening the candidate electric energy meters in the candidate set according to the fourth relative conversion coefficient so as to screen out comparison electric energy meters in the candidate set.

Therefore, based on the scheme provided by the application, the comparison electric energy meter can be accurately determined, and the error calculation accuracy of the target electric energy meter is further improved.

As an implementation manner, when the candidate electric energy meters in the candidate set are screened according to the fourth relative conversion coefficient to screen the comparison electric energy meters in the candidate set, the fourth relative conversion coefficient of each candidate electric energy meter may be initialized for a plurality of candidate electric energy meters in the candidate set.

Then, a plurality of target fourth relative conversion coefficients that reach the set conversion coefficient threshold are determined from the plurality of fourth relative conversion coefficients.

Then, obtaining a conversion coefficient interval of each fourth relative conversion coefficient in a preset conversion coefficient mapping relation, and obtaining an interval score condition of each target fourth relative conversion coefficient; the conversion coefficient mapping relation comprises a plurality of conversion coefficient intervals, each conversion coefficient interval comprises a plurality of dead-ground relative conversion coefficients, the number of fourth relative conversion coefficients contained in each conversion coefficient interval is at least four, and the interval score condition of the target fourth relative conversion coefficient comprises an interval importance degree score and an interval length distribution concentration score.

And then, sequencing all the target fourth relative conversion coefficients according to the sequence of the importance degree scores of the corresponding intervals from large to small.

And then, sequentially traversing all the fourth relative conversion coefficients according to the arrangement sequence, and taking the two target fourth relative conversion coefficients at the head and the tail of the arrangement sequence as a fourth relative conversion coefficient sequence.

Then, if the target fourth relative conversion coefficient sorted in the middle is one, taking the target fourth relative conversion coefficient as a fourth relative conversion coefficient sequence, where a sum of the section importance scores of the fourth relative conversion coefficients in each fourth relative conversion coefficient sequence is taken as the section importance score of the fourth relative conversion coefficient sequence, and a maximum section length distribution concentration score of the fourth relative conversion coefficients in the fourth relative conversion coefficient sequence is taken as the section length distribution concentration score of the fourth relative conversion coefficient sequence.

Next, the maximum value of the section importance degree score of the fourth relative conversion coefficient sequence is determined as the current section importance degree score of the conversion coefficient mapping relationship, and the sum of the section length distribution concentration scores of the fourth relative conversion coefficient sequence is determined as the current section length distribution concentration score of the conversion coefficient mapping relationship.

And then updating the conversion coefficient mapping relation according to each interval score condition in the conversion coefficient mapping relation, and distributing a plurality of target fourth relative conversion coefficients to the updated conversion coefficient mapping relation.

And then, determining the conversion coefficient interval with the highest corresponding interval importance degree score in the updated conversion coefficient mapping relation as a target conversion coefficient interval, and determining a candidate electric energy meter corresponding to a fourth relative conversion coefficient mapped in the target conversion coefficient interval as a comparison electric energy meter.

Therefore, based on the scheme provided by the application, the comparison electric energy meter can be reasonably determined.

In addition, based on the same inventive concept as the method for monitoring the operation error of the electric energy meter based on the accuracy grade of the transformer provided by the present application, please refer to fig. 2, the present application also provides a system 300 for monitoring the operation error of the electric energy meter based on the accuracy grade of the transformer, which includes a processing module 310 and an error calculating module 320.

The processing module 310 is configured to determine a target electric energy meter in a target electric energy grid;

the processing module 310 is further configured to analyze a first relative accuracy between a transformer state of the target electric energy meter and a transformer state of a comparison electric energy meter, where the comparison electric energy meter is determined from electric energy meters in a comparison work group network;

the processing module 310 is further configured to fuse corresponding electric energy meter parameters of the comparison electric energy meter and the target electric energy meter according to the first relative accuracy to obtain virtual electric energy meter parameters, where the virtual electric energy meter parameters include a virtual electric energy acquisition parameter of a virtual electric energy meter and a virtual transformer state;

the processing module 310 is further configured to analyze a second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter;

and the error calculation module 320 is configured to perform error calculation processing on the target electric energy meter according to the second relative accuracy and the electric energy meter parameter collected by the target electric energy meter, so as to obtain a target electric energy error.

Optionally, as an implementation manner, when the electric energy meter parameters corresponding to the comparison electric energy meter and the target electric energy meter are fused according to the first relative accuracy to obtain virtual electric energy meter parameters, the processing module 310 is specifically configured to:

extracting initial electric energy meter parameters with the same dimensionality as the target electric energy meter from the comparison electric energy meter to obtain a first initial electric energy meter parameter set;

and according to the first relative accuracy, proportionally fusing the electric energy meter parameters in the first initial electric energy meter parameter set with the electric energy meter parameters corresponding to the target electric energy meter to obtain virtual electric energy meter parameters.

Optionally, as an embodiment, the transformer state of the target electric energy meter includes: working states of the transformers corresponding to the target electric energy meter and accuracy levels of the transformers corresponding to the target electric energy meter;

the mutual inductor state of the comparison electric energy meter comprises the following steps: comparing the working state of the mutual inductor corresponding to the electric energy meter and the accuracy grade of the mutual inductor corresponding to the electric energy meter;

when the first relative accuracy between the transformer state of the target electric energy meter and the transformer state of the comparison electric energy meter is analyzed, the processing module 310 is specifically configured to:

respectively acquiring reference coefficients corresponding to respective transformer accuracy levels of the target electric energy meter and the comparison electric energy meter to obtain a first transformer reference coefficient and a second transformer reference coefficient;

calculating a first ratio between the first transformer reference coefficient and the second transformer reference coefficient to obtain the first relative accuracy;

the processing module 310 is specifically configured to, when the electric energy meter parameters in the first initial electric energy meter parameter set are proportionally fused with the electric energy meter parameters corresponding to the target electric energy meter according to the first relative accuracy to obtain virtual electric energy meter parameters:

determining a first relative conversion coefficient of the target electric energy meter relative to the comparison electric energy meter based on a first ratio between the first transformer reference coefficient and the second transformer reference coefficient, wherein the first relative conversion coefficient is used for indicating a proportionality coefficient for fusing an electric energy meter parameter corresponding to the target electric energy meter and an electric energy meter parameter corresponding to the comparison electric energy meter;

processing the electric energy meter parameters in the first initial electric energy meter parameter set according to the first relative conversion coefficient, and generating initial electric energy meter parameters corresponding to each electric energy meter parameter as a first initial conversion parameter set;

and superposing the electric energy meter parameters in the first initial conversion parameter set and the electric energy meter parameters corresponding to the target electric energy meter according to a preset proportionality coefficient to generate virtual electric energy meter parameters.

Optionally, as an implementation manner, when the error calculation module 320 performs error calculation processing on the target electric energy meter according to the second relative accuracy and the electric energy meter parameter collected by the target electric energy meter, to obtain a target electric energy error, specifically configured to:

determining initial electric energy meter parameters from the virtual electric energy meter parameters according to the second relative accuracy and the transformer accuracy grade included in the virtual electric energy meter parameters to obtain a second initial electric energy meter parameter set;

and according to the electric energy meter parameters and the second initial electric energy meter parameter set, carrying out error calculation processing on the target electric energy meter to obtain a target electric energy error.

Optionally, as an embodiment, the transformer state of the target electric energy meter includes: working states of the transformers corresponding to the target electric energy meter and accuracy levels of the transformers corresponding to the target electric energy meter;

the transformer states of the virtual electric energy meter parameters comprise: the transformer accuracy grade corresponding to the virtual electric energy meter parameter;

when the second relative accuracy between the transformer state of the virtual electric energy meter parameter and the transformer state of the target electric energy meter is analyzed, the processing module 310 is specifically configured to:

respectively acquiring reference coefficients corresponding to respective transformer accuracy levels of the target electric energy meter and the virtual electric energy meter, and acquiring a third transformer reference coefficient and a fourth transformer reference coefficient;

calculating a second ratio between the third transformer reference coefficient and the fourth transformer reference coefficient to obtain the second relative accuracy;

when the error calculation module 320 determines an initial electric energy meter parameter from the virtual electric energy meter parameters according to the second relative accuracy and the transformer accuracy level included in the virtual electric energy meter parameter to obtain a second initial electric energy meter parameter set, the error calculation module is specifically configured to:

determining a second relative conversion coefficient of the target electric energy meter relative to the virtual electric energy meter parameter based on a second ratio between the third transformer reference coefficient and the fourth transformer reference coefficient, wherein the second relative conversion coefficient is used for indicating a proportionality coefficient for fusing an electric energy meter parameter corresponding to the target electric energy meter and an electric energy meter parameter corresponding to the virtual electric energy meter parameter;

and processing the electric energy meter parameters in the virtual electric energy meter parameters according to the second relative conversion coefficient and the transformer accuracy grade corresponding to the virtual electric energy meter parameters to generate and obtain a second initial electric energy meter parameter set.

Optionally, as an implementation manner, when performing error calculation processing on the target electric energy meter according to the electric energy meter parameter and the second initial electric energy meter parameter set, the processing module 310 is specifically configured to:

performing disaster tolerance calculation based on the electric energy meter parameters in the target electric energy meter and the second initial electric energy meter parameter set to generate a second initial conversion parameter set;

and calculating the deviation of the electric energy meter parameters in the target electric energy meter relative to the electric energy meter parameters in the second initial conversion parameter set so as to carry out error calculation processing on the target electric energy meter.

Optionally, as an implementation manner, when determining the target electric energy meter in the target electric energy grid, the processing module 310 is specifically configured to:

acquiring working state parameters of each electric energy meter corresponding to each electric energy meter in a target electric energy networking;

determining an initial screening electric energy meter set based on the electric energy meter working state parameters corresponding to each electric energy meter in the target electric energy network;

obtaining a reference coefficient corresponding to each electric energy meter in the initial screening electric energy meter set;

determining a reference difference value between any two electric energy meters in the initial screening electric energy meter set according to the reference coefficient of each electric energy meter in the initial screening electric energy meter set;

determining a third relative conversion coefficient of each electric energy meter in the initial screening electric energy meter set corresponding to other electric energy meters based on a reference difference value between any two electric energy meters, wherein the third relative conversion coefficient is used for indicating a proportionality coefficient for fusing each electric energy meter in the initial screening electric energy meter set with respective electric energy meter parameters of other electric energy meters;

and screening the electric energy meters in the initial screening electric energy meter set according to the third relative conversion coefficient to obtain the target electric energy meter.

Optionally, as an embodiment, before determining the target electric energy meter in the target electric energy grid, the processing module 310 is further configured to:

acquiring electric energy meter parameters of each electric energy meter in a comparison working group;

screening the electric energy meters in the comparison working networks according to a set preliminary screening strategy to construct a plurality of reference comparison networks, wherein each reference comparison network comprises at least one electric energy meter in the comparison working network;

the multiple reference comparison networks are sorted according to the number of the included electric energy meters, multiple candidate electric energy meters with the highest frequency of occurrence are determined from the sorted multiple reference comparison networks according to a preset topk strategy, and the multiple candidate electric energy meters are combined into a candidate set;

acquiring a reference coefficient of each candidate electric energy meter in the candidate set;

determining a reference difference value between any two candidate electric energy meters in the candidate set according to the reference coefficient of each candidate electric energy meter;

determining a fourth relative conversion coefficient of each candidate electric energy meter in the candidate set relative to other candidate electric energy meters based on a reference difference value between any two candidate electric energy meters in the candidate set, wherein the fourth relative conversion coefficient is used for indicating a proportionality coefficient for fusing each candidate electric energy meter in the candidate set with respective electric energy meter parameters of other candidate electric energy meters;

and screening the candidate electric energy meters in the candidate set according to the fourth relative conversion coefficient so as to screen comparison electric energy meters in the candidate set.

Optionally, as an implementation manner, when the processing module 310 filters the candidate electric energy meters in the candidate set according to the fourth relative conversion coefficient, so as to filter out comparison electric energy meters in the candidate set, the processing module is specifically configured to:

initializing a fourth relative conversion coefficient of each candidate electric energy meter for a plurality of candidate electric energy meters in the candidate set;

determining a plurality of target fourth relative conversion coefficients reaching a set conversion coefficient threshold value from the plurality of fourth relative conversion coefficients;

obtaining a conversion coefficient interval of each fourth relative conversion coefficient in a preset conversion coefficient mapping relation, and obtaining an interval score condition of each target fourth relative conversion coefficient; the conversion coefficient mapping relation comprises a plurality of conversion coefficient intervals, each conversion coefficient interval comprises a plurality of dead-ground relative conversion coefficients, the number of fourth relative conversion coefficients contained in each conversion coefficient interval is at least four, and the interval score condition of the target fourth relative conversion coefficient comprises an interval importance degree score and an interval length distribution concentration score;

sequencing all the fourth relative conversion coefficients of the targets according to the arrangement sequence of the importance degree scores of the corresponding intervals from large to small;

traversing all the fourth relative conversion coefficients in sequence according to the arrangement sequence, and taking the two target fourth relative conversion coefficients at the head and the tail of the arrangement sequence as a fourth relative conversion coefficient sequence;

if the target fourth relative conversion coefficient ranked in the middle is one, taking the target fourth relative conversion coefficient as a fourth relative conversion coefficient sequence, wherein the sum of the section importance degree scores of the fourth relative conversion coefficients in each fourth relative conversion coefficient sequence is taken as the section importance degree score of the fourth relative conversion coefficient sequence, and the maximum section length distribution concentration score of the fourth relative conversion coefficient in the fourth relative conversion coefficient sequence is taken as the section length distribution concentration score of the fourth relative conversion coefficient sequence;

determining the maximum value of the interval importance degree score of the fourth relative conversion coefficient sequence as the current interval importance degree score of the conversion coefficient mapping relation, and determining the sum of the interval length distribution concentration scores of the fourth relative conversion coefficient sequence as the current interval length distribution concentration score of the conversion coefficient mapping relation;

updating the conversion coefficient mapping relation according to each interval score condition in the conversion coefficient mapping relation, and distributing a plurality of target fourth relative conversion coefficients to the updated conversion coefficient mapping relation;

and determining the conversion coefficient interval with the highest interval importance degree score in the updated conversion coefficient mapping relation as a target conversion coefficient interval, and determining a candidate electric energy meter corresponding to a fourth relative conversion coefficient mapped in the target conversion coefficient interval as a comparison electric energy meter.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to some embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).

It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.

It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in some embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to some embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.

The above description is only a few examples of the present application and is not intended to limit the present application, and those skilled in the art will appreciate that various modifications and variations can be made in the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

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