阅读说明：本技术 轻载台区电能表运行误差数据的处理方法及系统 (Method and system for processing running error data of electric energy meter in light load area ) 是由 邵雪松 陈霄 周玉 张德进 蔡奇新 王黎明 李悦 季欣荣 徐鸣飞 崔高颖 于 2020-11-26 设计创作，主要内容包括：本申请提供的轻载台区电能表运行误差数据的处理方法及系统,涉及技术领域。在本申请中,首先,基于获取的标识信息对应的第一对应关系和第二对应关系、总表用电量和分表用电量,分别得到第一线路损耗电量和第二线路损耗电量；其次,基于第一线路损耗电量和第二线路损耗电量,得到对应的目标线路损耗电量；然后,基于台区总表用电量、分表用电量和目标线路损耗电量,得到至少一个台区分电能表的总运行误差数据；最后,基于总运行误差数据和预先确定的误差比例信息,确定每一个台区分电能表的运行误差数据。基于上述方法,可以改善现有技术中对电能表运行误差难以进行有效监测的问题。(The application provides a method and a system for processing running error data of an electric energy meter in a light carrier area, and relates to the technical field. In the method, first, based on a first corresponding relation and a second corresponding relation corresponding to acquired identification information, total table power consumption and sub table power consumption, first line loss power consumption and second line loss power consumption are respectively obtained; secondly, obtaining corresponding target line loss power consumption based on the first line loss power consumption and the second line loss power consumption; then, obtaining total operation error data of at least one station-distinguished electric energy meter based on the station area total meter electricity consumption, the sub-meter electricity consumption and the target line power loss consumption; and finally, determining the operation error data of each station distinguishing electric energy meter based on the total operation error data and the predetermined error proportion information. Based on the method, the problem that the running error of the electric energy meter is difficult to effectively monitor in the prior art can be solved.)

1. A method for processing running error data of an electric energy meter in a light carrier area is characterized by being applied to a system for processing running error data of the electric energy meter in the light carrier area, and comprises the following steps:

acquiring station area electricity consumption data of a light-load station area and identification information of the light-load station area in a current time period, wherein the time length of the current time period is a preset time length, the end point is the current time, the light-load station area is a station area of which the distribution load rate is greater than a first change rate and less than a second change rate, the first change rate is less than the second change rate, the distribution load rate is calculated based on the apparent power and the rated capacity of a transformer corresponding to the light-load station area, and the station area electricity consumption data comprises the total meter electricity consumption of a station area total electric energy meter and the sub-meter electricity consumption of at least one station area electric energy meter;

finding a first corresponding relation and a second corresponding relation from the target data based on the identification information, wherein the first corresponding relation is a corresponding relation between the line loss power consumption and the total table power consumption, the second corresponding relation is a corresponding relation between the line loss power consumption and the sub table power consumption, and the first corresponding relation and the second corresponding relation are obtained based on simulation calculation of the light carrier area;

obtaining first line loss power consumption based on the first corresponding relation and the total meter power consumption, and obtaining second line loss power consumption corresponding to each station distinguishing electric energy meter based on the second corresponding relation and the sub-meter power consumption of each station distinguishing electric energy meter;

performing weighted calculation processing based on the first line loss power consumption and the second line loss power consumption to obtain corresponding target line loss power consumption;

calculating to obtain total operation error data of the at least one station distinguishing electric energy meter based on the station area total meter electricity consumption, the sub-meter electricity consumption and the target line power loss consumption;

and determining the operation error data of each station distinguishing electric energy meter based on the total operation error data and the error proportion information determined for each station distinguishing electric energy meter in advance.

2. The method for processing the operation error data of the light carrier district electric energy meter according to claim 1, wherein the step of obtaining the second line power loss and consumption amount corresponding to each station-specific electric energy meter based on the second corresponding relationship and the sub-meter power consumption amount of each station-specific electric energy meter comprises:

acquiring the length of a cable between each station area electric energy meter and the station area total electric energy meter;

and aiming at each station distinguishing electric energy meter, calculating and processing according to the second corresponding relation based on the sub-meter electricity consumption and the cable length of the station distinguishing electric energy meter to obtain the second line power loss and consumption corresponding to the station distinguishing electric energy meter.

3. The method for processing the operation error data of the light carrier block electric energy meter according to claim 1, wherein the step of performing weighted calculation processing based on the first line loss electric power consumption amount and the second line loss electric power consumption amount to obtain a corresponding target line loss electric power consumption amount comprises:

calculating a power loss amount and a value of at least one second line power loss amount, wherein when the second line power loss amount is one, the second line power loss amount is used as the power loss amount and the value;

and performing weighting calculation on the first line power loss and consumption power amount and the sum of the consumption power amounts based on a first weighting coefficient and a second weighting coefficient which are predetermined to obtain corresponding target line power loss and consumption power amounts, wherein the first weighting coefficient is a weighting coefficient of the first line power loss and consumption power amount, the second weighting coefficient is a weighting coefficient of the second line power loss and consumption power amount, the sum of the first weighting coefficient and the second weighting coefficient is 1, and at least one of the dispersion degrees of the second line power loss and consumption power amount has a negative correlation with the first weighting coefficient and a positive correlation with the second weighting coefficient.

4. The method for processing the operation error data of the light carrier district electric energy meter according to any one of claims 1 to 3, wherein the step of determining the operation error data of each station-specific electric energy meter based on the total operation error data and the error proportion information determined in advance for each station-specific electric energy meter comprises the following steps:

obtaining operation error historical data of each station distinguishing electric energy meter in a historical time period adjacent to the current time period, wherein the historical time period is the same as the current time period in duration, the end point of the historical time period is the starting point of the current time period, and if the historical time period is the first historical time period, the corresponding operation error historical data is obtained based on measurement;

obtaining error ratio historical information of each station distinguishing electric energy meter based on operation error historical data of each station distinguishing electric energy meter;

updating the error proportion historical information of each station distinguishing electric energy meter respectively based on the sub-meter power consumption of each station distinguishing electric energy meter in the current time period to obtain the error proportion information of each station distinguishing electric energy meter;

and determining the operation error data of each station distinguishing electric energy meter based on the error proportion information and the total operation error data.

5. The method for processing the operation error data of the light carrier district electric energy meter according to claim 4, wherein the step of updating the error ratio history information of each of the station-specific electric energy meters based on the sub-meter power consumption of each of the station-specific electric energy meters in the current time period to obtain the error ratio information of each of the station-specific electric energy meters comprises:

segmenting the current time interval according to a preset time length to obtain a plurality of time segments, and forming a time segment sequence based on the time segments according to the time sequence relation, wherein the end point of the previous time segment in two adjacent time segments is coincided with the start point of the next time segment;

aiming at each time slice in the time slice sequence, obtaining sub-meter sub-electricity consumption of each station distinguishing electric energy meter in the time slice;

aiming at each distinguishing electric energy meter, forming a sub-electricity consumption sequence of the distinguishing electric energy meter based on a plurality of sub-meter sub-electricity consumptions corresponding to the distinguishing electric energy meters according to the time sequence;

for each sub-power consumption sequence, screening each sub-meter sub-power consumption in the sub-power consumption sequence based on a preset abnormal data screening rule to obtain a sub-power consumption target sequence corresponding to the sub-power consumption sequence;

aiming at each sub-power consumption target sequence, determining a target sub-meter sub-power consumption based on each sub-meter sub-power consumption included in the sub-power consumption target sequence;

and updating the error proportion historical information of each station distinguishing electric energy meter based on the electric quantity proportion information formed by the target sub-meter sub-electric quantity corresponding to each sub-electric quantity target sequence to obtain the error proportion information of each station distinguishing electric energy meter.

6. The method for processing the operation error data of the electric energy meter in the light carrier area according to claim 5, wherein the step of screening each sub-meter sub-electricity consumption in the sub-electricity consumption sequence based on a preset abnormal data screening rule to obtain a sub-electricity consumption target sequence corresponding to the sub-electricity consumption sequence comprises:

screening and excluding sub-meter sub-electricity consumption with preset identification from the sub-electricity consumption sequence to obtain an intermediate sequence of the sub-electricity consumption, wherein the preset identification is generated after operation error correction processing is carried out on the distinguishing electric energy meters in a time segment of the corresponding sub-meter sub-electricity consumption;

performing sliding window processing on the sub-power consumption intermediate sequence according to a preset length to obtain a plurality of sub-power consumption sliding window sequences, wherein the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are the same in number, and the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are smaller than the sub-power consumption sub-sequences included in the sub-power consumption intermediate sequence;

for each sub-power consumption sliding window sequence, respectively forming a sliding window sequence combination by the sub-power consumption sliding window sequence and each other sub-power consumption sliding window sequence to obtain at least one sliding window sequence combination corresponding to the sub-power consumption sliding window sequence, wherein the sub-power consumption sliding window sequence is used as a first sub-power consumption sliding window sequence in the at least one sliding window sequence combination;

for each sliding window sequence combination, sequentially taking each sub-meter sub-power consumption in a first sub-power consumption sliding window sequence in the sliding window sequence combination as a starting point, and determining the starting point and each sub-meter sub-power consumption after the starting point as the sliding window sub-sequence;

calculating the similarity between each sliding window subsequence corresponding to the first sub-power consumption sliding window sequence and a corresponding second sub-power consumption sliding window sequence aiming at each first sub-power consumption sliding window sequence, wherein the similarity is the ratio of the number of sub-power consumption in the same sub-meter in the corresponding position of the sliding window subsequence after the reverse sequence and the second sub-power consumption sliding window sequence after the reverse sequence to the number of sub-power consumption in the sub-meter included by the sliding window subsequence;

calculating the average value of the similarity corresponding to each first sub-power consumption sliding window sequence aiming at each first sub-power consumption sliding window sequence, and taking the average value as the target similarity between the first sub-power consumption sliding window sequence and the corresponding second sub-power consumption sliding window sequence;

aiming at each sub-power consumption sliding window sequence, taking the sub-power consumption sliding window sequence as the target similarity between the first sub-power consumption sliding window sequence and each corresponding second sub-power consumption sliding window sequence to carry out mean value calculation to obtain the similarity mean value of the sub-power consumption sliding window sequence;

and taking the sub power consumption sliding window sequence with the maximum similarity mean value as a sub power consumption target sequence corresponding to the sub power consumption sequence.

7. The method for processing the operation error data of the electric energy meter in the light carrier area according to claim 5, wherein the step of screening each sub-meter sub-electricity consumption in the sub-electricity consumption sequence based on a preset abnormal data screening rule to obtain a sub-electricity consumption target sequence corresponding to the sub-electricity consumption sequence comprises:

screening and excluding sub-meter sub-electricity consumption with preset identification from the sub-electricity consumption sequence to obtain an intermediate sequence of the sub-electricity consumption, wherein the preset identification is generated after operation error correction processing is carried out on the distinguishing electric energy meters in a time segment of the corresponding sub-meter sub-electricity consumption;

performing sliding window processing on the sub-power consumption intermediate sequence according to a preset length to obtain a plurality of sub-power consumption sliding window sequences, wherein the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are the same in number, and the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are smaller than the sub-power consumption sub-sequences included in the sub-power consumption intermediate sequence;

for each sub-power consumption sliding window sequence, respectively forming a sliding window sequence combination by the sub-power consumption sliding window sequence and each other sub-power consumption sliding window sequence to obtain at least one sliding window sequence combination corresponding to the sub-power consumption sliding window sequence, wherein the sub-power consumption sliding window sequence is used as a first sub-power consumption sliding window sequence in the at least one sliding window sequence combination;

for each sliding window sequence combination, sequentially taking each sub-meter sub-power consumption in a first sub-power consumption sliding window sequence in the sliding window sequence combination as a starting point, and determining the starting point and each sub-meter sub-power consumption after the starting point as the sliding window sub-sequence;

calculating the similarity between each sliding window subsequence corresponding to the first sub-power consumption sliding window sequence and a corresponding second sub-power consumption sliding window sequence aiming at each first sub-power consumption sliding window sequence, wherein the similarity is the ratio of the number of sub-power consumption in the same sub-meter in the corresponding position of the sliding window subsequence after the reverse sequence and the second sub-power consumption sliding window sequence after the reverse sequence to the number of sub-power consumption in the sub-meter included by the sliding window subsequence;

calculating a weighted average value of the similarity corresponding to each first sub-power consumption sliding window sequence aiming at each first sub-power consumption sliding window sequence, and taking the weighted average value as the target similarity between the first sub-power consumption sliding window sequence and a corresponding second sub-power consumption sliding window sequence, wherein the weight coefficient of each similarity corresponding to the same first sub-power consumption sliding window sequence is 1 later, and the weight coefficient and the quantity of the sub-table sub-power consumption included in the sliding window sub-sequence corresponding to the similarity have positive correlation;

aiming at each sub-power consumption sliding window sequence, taking the sub-power consumption sliding window sequence as the target similarity between the first sub-power consumption sliding window sequence and each corresponding second sub-power consumption sliding window sequence to carry out mean value calculation to obtain the similarity mean value of the sub-power consumption sliding window sequence;

and taking the sub power consumption sliding window sequence with the maximum similarity mean value as a sub power consumption target sequence corresponding to the sub power consumption sequence.

8. The method for processing the operation error data of the electric energy meter in the light carrier area according to claim 5, wherein the step of determining the sub-meter sub-electricity consumption of the target sub-meter based on the sub-meter sub-electricity consumption included in the sub-electricity consumption target sequence for each sub-electricity consumption target sequence comprises:

for each sub-power consumption target sequence, clustering each sub-power consumption included in the sub-power consumption target sequence to obtain at least one sub-power consumption set corresponding to the sub-power consumption target sequence, wherein each sub-power consumption set at least comprises one sub-power consumption;

for each sub-power consumption set, determining a corresponding weight coefficient based on an average value of each sub-power consumption in the sub-tables included in the sub-power consumption set, wherein the average value and the weight coefficient have a negative correlation relationship, and the sum of the weight coefficients of at least one sub-power consumption set corresponding to the same sub-power consumption target sequence is 1;

and for each sub-power consumption target sequence, performing weighted calculation based on the average value and the weighting coefficient of at least one sub-power consumption set corresponding to the sub-power consumption target sequence to obtain a weighted sum value, and taking the weighted sum value as the target sub-table sub-power consumption of the sub-power consumption target sequence.

9. The method for processing the operation error data of the electric energy meter in the light carrier area according to claim 8, wherein the step of clustering the sub-power consumption of each sub-meter included in the sub-power consumption target sequence to obtain at least one sub-power consumption set corresponding to the sub-power consumption target sequence includes:

for each sub-power consumption target sequence, clustering each sub-power consumption of the sub-meters included in the sub-power consumption target sequence to obtain at least one sub-power consumption class corresponding to the sub-power consumption target sequence, wherein each sub-power consumption class at least includes one sub-meter sub-power consumption;

for each sub-electricity consumption target sequence, if the sub-electricity consumption class corresponding to the sub-electricity consumption target sequence is multiple, determining the number of sub-electricity consumption types of a sub-table included in the sub-electricity consumption class for each sub-electricity consumption class corresponding to the sub-electricity consumption target sequence, and screening and removing one sub-electricity consumption class with the minimum number, so that at least one reserved sub-electricity consumption class is respectively used as a sub-electricity consumption set to obtain at least one sub-electricity consumption set;

and aiming at each sub-electricity consumption target sequence, if the sub-electricity consumption class corresponding to the sub-electricity consumption target sequence is one, taking the sub-electricity consumption class as a sub-electricity consumption set.

10. A system for processing running error data of an electric energy meter in a light carrier area is characterized by comprising:

a memory for storing a computer program;

a processor connected with the memory, for executing the computer program to implement the method for processing the operation error data of the light carrier area electric energy meter according to any one of claims 1 to 9.

Technical Field

The application relates to the technical field of electric power, in particular to a method and a system for processing running error data of an electric energy meter in a light carrier area.

Background

In the field of power technology, a light load distribution area is used as an important distribution area, so that the electric energy meters in the distribution area need to have higher metering precision, that is, it is necessary to ensure that the operation error data is smaller, and therefore, the operation error data needs to be monitored.

The method for monitoring the running error mainly comprises the following steps: a professional regularly detects the electric energy meter on site through detection equipment; and (4) taking back the electric energy meter and then detecting under the same standard condition.

Therefore, the problems of high detection working strength, large workload and large cost of manpower and material resources exist. Therefore, there is a problem in that it is difficult to effectively monitor the operation error of the electric energy meter.

Disclosure of Invention

In view of the above, an object of the present application is to provide a method and a system for processing operation error data of an electric energy meter in a light carrier block, so as to solve the problem in the prior art that it is difficult to effectively monitor operation errors of the electric energy meter.

In order to achieve the above purpose, the embodiment of the present application adopts the following technical solutions:

a processing method for operation error data of an electric energy meter in a light carrier area is applied to a processing system for the operation error data of the electric energy meter in the light carrier area, and comprises the following steps:

acquiring station area electricity consumption data of a light-load station area and identification information of the light-load station area in a current time period, wherein the time length of the current time period is a preset time length, the end point is the current time, the light-load station area is a station area of which the distribution load rate is greater than a first change rate and less than a second change rate, the first change rate is less than the second change rate, the distribution load rate is calculated based on the apparent power and the rated capacity of a transformer corresponding to the light-load station area, and the station area electricity consumption data comprises the total meter electricity consumption of a station area total electric energy meter and the sub-meter electricity consumption of at least one station area electric energy meter;

finding a first corresponding relation and a second corresponding relation from the target data based on the identification information, wherein the first corresponding relation is a corresponding relation between the line loss power consumption and the total table power consumption, the second corresponding relation is a corresponding relation between the line loss power consumption and the sub table power consumption, and the first corresponding relation and the second corresponding relation are obtained based on simulation calculation of the light carrier area;

obtaining first line loss power consumption based on the first corresponding relation and the total meter power consumption, and obtaining second line loss power consumption corresponding to each station distinguishing electric energy meter based on the second corresponding relation and the sub-meter power consumption of each station distinguishing electric energy meter;

performing weighted calculation processing based on the first line loss power consumption and the second line loss power consumption to obtain corresponding target line loss power consumption;

calculating to obtain total operation error data of the at least one station distinguishing electric energy meter based on the station area total meter electricity consumption, the sub-meter electricity consumption and the target line power loss consumption;

and determining the operation error data of each station distinguishing electric energy meter based on the total operation error data and the error proportion information determined for each station distinguishing electric energy meter in advance.

On the basis of the foregoing embodiment, the present application further provides a system for processing operation error data of an electric energy meter in a light carrier area, including:

a memory for storing a computer program;

and the processor is connected with the memory and used for executing the computer program so as to realize the method for processing the operation error data of the electric energy meter in the light load area.

According to the method and the system for processing the operation error data of the electric energy meters in the light carrier area, the corresponding relation between the line loss electric quantity and the total power consumption of the meter and the corresponding relation between the line loss electric quantity and the sub-meter power consumption are obtained through simulation calculation of the light carrier area, so that the corresponding target line loss electric quantity can be obtained based on the corresponding relation and the obtained power consumption data of the light carrier area, and then the total operation error data can be obtained based on the target line loss electric quantity, so that the operation error data of each station for distinguishing the electric energy meters can be determined based on the total operation error data and the error proportion information determined for each station for distinguishing the electric energy meters in advance. So, can effectually monitor the running error of light carrier district electric energy meter to improve among the prior art and carry out actual detection and lead to being difficult to carry out the problem of effective monitoring because of needs measurement personnel to the running error of electric energy meter, make to have higher practical value.

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

Fig. 1 is a block diagram of a system for processing operation error data of an electric energy meter in a light carrier area according to an embodiment of the present application.

Fig. 2 is a schematic flowchart illustrating steps included in a method for processing operation error data of an electric energy meter in a light carrier area according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

As shown in fig. 1, an embodiment of the present application provides a system for processing operation error data of an electric energy meter in a light carrier area. The processing system for the operation error data of the light carrier area electric energy meter can comprise a memory and a processor.

In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The memory can have stored therein at least one software function (computer program) which can be present in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the method for processing the operation error data of the light carrier region electric energy meter provided by the embodiment of the present application (as described later).

Alternatively, the Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.

Also, the Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), a System on Chip (SoC), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.

With reference to fig. 2, an embodiment of the present application further provides a method for processing operation error data of an electric energy meter in a light load distribution area, which is applicable to the system for processing operation error data of an electric energy meter in a light load distribution area.

The method steps defined by the flow related to the method for processing the operation error data of the light carrier area electric energy meter can be realized by (a processor of) the system for processing the operation error data of the light carrier area electric energy meter. The specific process shown in FIG. 2 will be described in detail below.

Step S110, obtaining station area power consumption data of the light-load station area and identification information of the light-load station area in the current time period.

In this embodiment, when an operation error of a station-specific electric energy meter of a light-load station area (a station area refers to a power supply range or an area of one transformer in an electric power system, and an electric energy meter for measuring total power consumption in the power supply range may be referred to as a station-specific electric energy meter, and a plurality of electric energy meters may be included in one station area besides the station-specific electric energy meter, and may be referred to as station-specific electric energy meters) needs to be monitored, the processing system for the operation error data of the light-load station area electric energy meter may obtain station-specific electric energy data of the light-load station area and identification information of the light-load station area in a current period.

The power consumption data of the station area comprises total meter power consumption of a total electric energy meter of the station area (the total electric energy meter of the station area can be periodically corrected or replaced to ensure that the measured data has higher accuracy) and sub-meter power consumption of at least one station distinguishing electric energy meter.

Step S120, based on the identification information, the first corresponding relationship and the second corresponding relationship are found from the target data.

In this embodiment, after the identification information is obtained based on step S110, the processing system for the operation error data of the electric energy meter in the light carrier area may find the corresponding first corresponding relationship and second corresponding relationship from a target database (which may be a local database or a remote database) based on the identification information.

The first corresponding relationship is a corresponding relationship between line loss power consumption and total table power consumption, the second corresponding relationship is a corresponding relationship between line loss power consumption and sub table power consumption, and the first corresponding relationship and the second corresponding relationship can be obtained by performing simulation (simulating an operating environment of the light carrier area) calculation on the basis of the light carrier area.

And step S130, obtaining first line power loss and power consumption based on the first corresponding relation and the total meter power consumption, and obtaining second line power loss and power consumption corresponding to each station distinguishing electric energy meter based on the second corresponding relation and the sub-meter power consumption of each station distinguishing electric energy meter.

In this embodiment, after obtaining the first corresponding relationship and the second corresponding relationship based on step S120, the processing system of the operation error data of the light carrier block electric energy meter may obtain a first line loss electric power consumption amount based on the first corresponding relationship and the total meter electric power consumption amount, and obtain a second line loss electric power consumption amount corresponding to each block separation electric energy meter based on the second corresponding relationship and each sub-meter electric power consumption amount of the block separation electric energy meter (considering that different line lengths exist between different block separation electric energy meters and the block total electric energy meter, so that the line loss electric power amounts may be different even under the same electric power consumption amount, and thus, need to be calculated respectively).

Step S140, performing weighted calculation processing based on the first line loss power consumption and the second line loss power consumption to obtain a corresponding target line loss power consumption.

In this embodiment, after obtaining the first line loss power consumption and the second line loss power consumption based on step S130, the processing system for the operation error data of the light carrier block electric energy meter may perform weighting calculation processing based on the first line loss power consumption and the second line loss power consumption (where the second line loss power consumption refers to the sum of the second line loss power consumptions corresponding to each station separate electric energy meter), so as to obtain the corresponding target line loss power consumption.

And S150, calculating to obtain the total operation error data of the at least one station area electric energy meter based on the station area total meter electricity consumption, the sub-meter electricity consumption and the target line loss electricity consumption.

In this embodiment, after obtaining the target line power loss and power consumption amount based on step S140, the processing system of the operation error data of the light carrier station area electric energy meter may calculate the total operation error data of the at least one station separation electric energy meter (i.e. the station area total meter power consumption amount-the sub-meter power consumption amount-the target line power loss and power consumption = the total operation error data) based on the target line power loss and power consumption amount, the station area total meter power consumption amount, and the sub-meter power consumption amount (where the sub-meter power consumption amount refers to the sum of the sub-meter power consumption amounts corresponding to each station separation electric energy meter).

And step S160, determining the operation error data of each station distinguishing electric energy meter based on the total operation error data and the error proportion information determined for each station distinguishing electric energy meter in advance.

In this embodiment, after obtaining the total operation error data based on step S150, the processing system of the operation error data of the light carrier block electric energy meter may determine the operation error data of each station-specific electric energy meter based on the error proportion information determined in advance for each station-specific electric energy meter by the total operation error data.

Based on the method, the corresponding relation between the line loss electricity quantity and the total meter electricity consumption quantity and the corresponding relation between the line loss electricity quantity and the sub-meter electricity consumption quantity are obtained through simulation calculation of the light carrier station area, so that the corresponding target line loss electricity consumption quantity can be obtained based on the corresponding relation and the obtained station area electricity consumption data, and then the total operation error data is obtained based on the target line loss electricity consumption quantity, so that the operation error data of each station distinguishing electric energy meter can be determined based on the total operation error data and the error proportion information which is determined aiming at each station distinguishing electric energy meter in advance. So, can effectually monitor the running error of light carrier district electric energy meter to improve among the prior art and carry out actual detection and lead to being difficult to carry out effective monitoring's problem because of needing the measurement personnel to the running error of electric energy meter.

In the first aspect, it should be noted that, in step S130, a specific manner for obtaining the power loss and consumption amount of the second line corresponding to each station for distinguishing the electric energy meter is not limited, and may be selected according to actual application requirements.

For example, in an alternative example, to ensure that the obtained second line loss power has a higher accuracy, step S130 may include the following sub-steps:

firstly, the length of a cable between each station distinguishing electric energy meter and the station total electric energy meter can be obtained; secondly, the electric energy meters can be distinguished for each station, and based on the sub-meter power consumption and the cable length of the distinguished electric energy meter, calculation processing is performed according to the second corresponding relationship (that is, the dependent variable in the second corresponding relationship may include the sub-meter power consumption and the cable length), so that the second line power loss and consumption amount corresponding to the distinguished electric energy meter is obtained.

In the second aspect, it should be noted that, in step S140, a specific manner of performing the weighting calculation process is not limited, and may be selected according to actual application requirements.

For example, in an alternative example, in order to ensure that the obtained target line loss power consumption has a high accuracy, step S140 may include the following sub-steps:

first, a power loss amount and a value of at least one second line power loss amount may be calculated (that is, a power loss amount and a value of a second line power loss amount corresponding to all station differentiated electric energy meters are calculated), where when the second line power loss amount is one, the second line power loss amount is taken as the power loss amount and the value; secondly, the first line power loss and consumption amount and the sum of the consumption amounts may be weighted and calculated based on a first weighting coefficient and a second weighting coefficient determined in advance to obtain a corresponding target line power loss and consumption amount, where the first weighting coefficient is a weighting coefficient of the first line power loss and consumption amount, the second weighting coefficient is a weighting coefficient of the second line power loss and consumption amount, the sum of the first weighting coefficient and the second weighting coefficient is 1, and at least one of the degrees of dispersion of the second line power loss and consumption amount has a negative correlation with the first weighting coefficient and a positive correlation with the second weighting coefficient (that is, if the degree of dispersion of at least one of the second line power loss and consumption amount is higher, the first weighting coefficient is smaller, the second weighting coefficient is larger, otherwise, if the degree of dispersion of at least one of the second line power loss and consumption amount is higher, the larger the first weighting coefficient, the smaller the second weighting coefficient).

In the third aspect, it should be noted that, in step S160, a specific manner for determining that each station distinguishes the operation error data of the electric energy meter is not limited, and may be selected according to actual application requirements.

For example, in an alternative example, step S160 may include the following sub-steps:

firstly, operation error historical data of each station differentiated electric energy meter in a historical time period adjacent to the current time period can be obtained (for example, if the current time period is 2020, 5 and 2 days, an adjacent historical time period is 2020, 5 and 1 days), wherein the time length of the historical time period is the same as that of the current time period, the end point of the historical time period is the starting point of the current time period, and if the historical time period is the first historical time period, the corresponding operation error historical data is obtained based on measurement;

secondly, obtaining error ratio historical information of each station distinguishing electric energy meter based on operation error historical data of each station distinguishing electric energy meter;

then, based on the power consumption of each station distinguishing electric energy meter in the current time period, respectively updating the error proportion historical information of each station distinguishing electric energy meter (after the current time period, the operation error of the station distinguishing electric energy meter changes, so that the updating is needed), and obtaining the error proportion information of each station distinguishing electric energy meter;

and finally, determining the operation error data of each station distinguishing electric energy meter based on the error proportion information and the total operation error data.

Optionally, in the above example, a specific manner of updating the error ratio history information of each station differentiated electric energy meter is not limited, and may be selected according to actual requirements.

For example, in an alternative example, the error ratio history information of each of the station-specific electric energy meters may be updated based on the following sub-steps:

substep 1, segmenting the current time interval according to a preset time length to obtain a plurality of time segments (for example, if the current time interval is one day, the preset time degree may be one hour, or, analyzing historical electricity consumption of a user to determine a time when each electricity consumption changes greatly, then, calculating a length between two adjacent times, so that the number of each length can be calculated, then, taking the length with the largest number as the preset time length), and forming a time segment sequence according to a time precedence relationship based on the plurality of time segments, wherein the end point of the previous time segment in the two adjacent time segments coincides with the start point of the next time segment;

substep 2, aiming at each time slice in the time slice sequence, obtaining sub-meter sub-power consumption of each station distinguishing electric energy meter in the time slice (namely increment of each station distinguishing electric energy meter in the time slice);

substep 3, distinguishing the electric energy meters for each station, and forming a sub-electric energy consumption sequence of the distinguishing electric energy meters based on a plurality of sub-electric energy consumption corresponding to the distinguishing electric energy meters according to a time sequence (for example, "sub-electric energy consumption 1 corresponding to a first time segment, sub-electric energy consumption 2 corresponding to a second time segment, sub-electric energy consumption 3 corresponding to a third time segment, and sub-electric energy consumption 4 corresponding to a fourth time segment. -);

substep 4, for each sub-power consumption sequence, performing screening processing on each sub-meter sub-power consumption in the sub-power consumption sequence based on a preset abnormal data screening rule (so that the interference of abnormal data can be eliminated) to obtain a sub-power consumption target sequence corresponding to the sub-power consumption sequence;

substep 5, determining a target sub-meter sub-power consumption based on each sub-meter sub-power consumption included in the sub-power consumption target sequence (that is, all sub-meter sub-power consumptions in the corresponding sub-power consumption target sequence can be represented by the determined target sub-meter sub-power consumption) for each sub-power consumption target sequence;

and a substep 6, updating the error proportion history information of each station-specific electric energy meter based on the electric energy proportion information formed by the target sub-meter sub-electric energy corresponding to each sub-electric energy target sequence to obtain the error proportion information of each station-specific electric energy meter (for example, an average value calculation may be performed based on the electric energy proportion information and the error proportion history information to obtain corresponding error proportion information, where in a specific application example, it is assumed that the error proportion information of 4 station-specific electric energy meters is 25%, and the electric energy proportion information corresponding to 4 station-specific electric energy meters is 15%, 25%, 35%, and 25%, respectively, and thus, the error proportion information of 4 station-specific electric energy meters is 20%, 25%, 30%, and 25%, respectively).

It is understood that, in the above example, the specific manner for performing the screening process in sub-step 4 is not limited, and may be selected according to the actual application requirement, and in this embodiment, the following three examples are provided based on different requirements, respectively.

In a first alternative example, in order to make the obtained target sequence of sub-power consumptions effectively reflect the corresponding sequence of sub-power consumptions, sub-step 4 may comprise the following sub-steps:

firstly, screening and excluding sub-meter sub-electricity consumptions with preset identifications from the sub-electricity consumption sequence to obtain a sub-electricity consumption intermediate sequence, wherein the preset identifications are generated after operation error correction processing is carried out on the station distinguishing electric energy meter based on a time slice of the corresponding sub-electricity consumption to obtain the sub-electricity consumption intermediate sequence (for example, if the current time interval is 5/2/2020 and one time slice is 9/2/9/10/5/2/2020, 45 points of 9/2/2020 and the corresponding sub-meter of the time slice can be screened and excluded, so that the sub-meter sub-electricity consumptions corresponding to other time slices can form the sub-electricity consumption intermediate sequence);

secondly, performing sliding window processing on the sub-power consumption intermediate sequence according to a preset length to obtain a plurality of sub-power consumption sliding window sequences, wherein the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are the same in number, and the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are smaller than the sub-power consumption sub-sequences included in the sub-power consumption intermediate sequence;

the third step, for each sub-power consumption sliding window sequence, forming a sliding window sequence combination with each other sub-power consumption sliding window sequence to obtain at least one sliding window sequence combination corresponding to the sub-power consumption sliding window sequence (for example, for a first sub-power consumption sliding window sequence, forming a sliding window sequence combination from a first sub-power consumption sliding window sequence and a second sub-power consumption sliding window sequence, forming a sliding window sequence combination from a first sub-power consumption sliding window sequence and a third sub-power consumption sliding window sequence, and forming a sliding window sequence combination from a first sub-power consumption sliding window sequence and a fourth sub-power consumption sliding window sequence), and using the sub-power consumption sliding window sequence in the at least one sliding window sequence combination as a first sub-power consumption sliding window sequence;

fourthly, aiming at each sliding window sequence combination, sequentially taking each sub-meter sub-power consumption in a first sub-power consumption sliding window sequence in the sliding window sequence combination as a starting point, and determining the starting point and each sub-power consumption after the starting point as sliding window sub-sequences (for example, the first sub-power consumption sliding window sequence comprises sub-meter sub-power consumption 1, sub-meter sub-power consumption 2 and sub-meter sub-power consumption 3, the sliding window sub-sequences determined by taking the sub-meter sub-power consumption 1 as the starting point are 'power consumption 1, sub-meter sub-power consumption 2 and sub-meter sub-power consumption 3', the sliding window sub-sequences determined by taking the sub-meter sub-power consumption 2 as the starting point) are 'sub-meter sub-power consumption 2 and sub-meter sub-power consumption 3', and the sliding window sub-sequences determined by taking the sub-meter sub-power consumption 3 as the starting point are 'sub-meter sub-power consumption 3';

fifthly, calculating the similarity between each sliding window subsequence corresponding to each first sub-power consumption sliding window sequence and a corresponding second sub-power consumption sliding window sequence aiming at each first sub-power consumption sliding window sequence, wherein the similarity is that the sliding window subsequence after reverse sequence (for example, after the sliding window subsequence of 'power consumption 1, sub-power consumption 2 and sub-power consumption 3' is reversed, the sliding window subsequence is 'power consumption 3, sub-power consumption 2 and sub-power consumption 1') and the second sub-power consumption sliding window sequence after reverse sequence have the same sub-meter sub-power consumption quantity at corresponding positions (namely, whether the first sub-meter sub-power consumption of the sliding window subsequence after reverse sequence is the same as the first sub-meter sub-power consumption of the second sub-power consumption sliding window sequence after reverse sequence is compared, and whether the second sub-meter sub-power consumption of the sliding window sequence after reverse sequence is the same as the second sub-meter sub-power consumption of the second sub-power consumption sliding window sequence after reverse sequence is compared ) A ratio to the number of sub-meter sub-electricity consumptions included in the sliding window subsequence;

sixthly, calculating an average value of the similarity corresponding to each first sub-power consumption sliding window sequence (calculating an average value of the similarity of each sliding window sub-sequence corresponding to the first sub-power consumption sliding window sequence and a corresponding second sub-power consumption sliding window sequence), and taking the average value as the target similarity between the first sub-power consumption sliding window sequence and the corresponding second sub-power consumption sliding window sequence;

seventhly, aiming at each sub-power consumption sliding window sequence, taking the sub-power consumption sliding window sequence as the target similarity between the first sub-power consumption sliding window sequence and each corresponding second sub-power consumption sliding window sequence to carry out mean value calculation to obtain the similarity mean value of the sub-power consumption sliding window sequence;

and eighthly, taking the sub power consumption sliding window sequence with the maximum similarity mean value as a sub power consumption target sequence corresponding to the sub power consumption sequence.

In a second alternative example, in order to make the obtained target sequence of sub-power consumptions better reflect the corresponding sequence of sub-power consumptions, step 4 may comprise the following sub-steps:

firstly, screening and excluding sub-meter sub-electricity consumption with preset identification from the sub-electricity consumption sequence to obtain a sub-electricity consumption intermediate sequence, wherein the preset identification is generated after operation error correction processing is carried out on the distinguishing electric energy meter based on a time slice of the corresponding sub-meter sub-electricity consumption;

secondly, performing sliding window processing on the sub-power consumption intermediate sequence according to a preset length to obtain a plurality of sub-power consumption sliding window sequences, wherein the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are the same in number, and the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are smaller than the sub-power consumption sub-sequences included in the sub-power consumption intermediate sequence;

thirdly, aiming at each sub-power consumption sliding window sequence, respectively forming a sliding window sequence combination by the sub-power consumption sliding window sequence and each other sub-power consumption sliding window sequence to obtain at least one sliding window sequence combination corresponding to the sub-power consumption sliding window sequence, wherein the sub-power consumption sliding window sequence is used as a first sub-power consumption sliding window sequence in the at least one sliding window sequence combination;

fourthly, aiming at each sliding window sequence combination, sequentially taking each sub-meter sub-power consumption in the first sub-power consumption sliding window sequence in the sliding window sequence combination as a starting point, and determining the starting point and each sub-meter sub-power consumption behind the starting point as the sliding window sub-sequence;

fifthly, calculating the similarity between each sliding window subsequence corresponding to each first sub-power consumption sliding window sequence and a corresponding second sub-power consumption sliding window sequence aiming at each first sub-power consumption sliding window sequence, wherein the similarity is the ratio between the quantity of the sub-power consumption in the same sub-meter in the corresponding position of the sliding window subsequence and the second sub-power consumption sliding window sequence after the reverse sequence and the quantity of the sub-power consumption in the sub-meter included in the sliding window subsequence;

sixthly, calculating a weighted average value of the similarity corresponding to each first sub-power consumption sliding window sequence, and taking the weighted average value as a target similarity between the first sub-power consumption sliding window sequence and a corresponding second sub-power consumption sliding window sequence, wherein a weight coefficient of each similarity corresponding to the same first sub-power consumption sliding window sequence is later 1, and the weight coefficient and the quantity of the sub-table sub-power consumption included in the sliding window sub-sequence corresponding to the similarity have a positive correlation (that is, the larger the weight coefficient corresponding to one similarity is, the larger the quantity of the sub-table sub-power consumption included in the sliding window sub-sequence corresponding to the similarity is, for example, for the sliding window sub-sequences "power consumption 1", sub-table sub-power consumption 2 and sub-table sub-power consumption 3 ", the sliding window sub-sequences" sub-table sub-power consumption 2 and sub-table sub-power consumption 3 ", the weight coefficient of the similarity corresponding to the former is larger than the weight coefficient of the similarity corresponding to the latter);

seventhly, aiming at each sub-power consumption sliding window sequence, taking the sub-power consumption sliding window sequence as the target similarity between the first sub-power consumption sliding window sequence and each corresponding second sub-power consumption sliding window sequence to carry out mean value calculation to obtain the similarity mean value of the sub-power consumption sliding window sequence;

and eighthly, taking the sub power consumption sliding window sequence with the maximum similarity mean value as a sub power consumption target sequence corresponding to the sub power consumption sequence.

In a third alternative example, in order to make the obtained target sequence of sub-power consumptions effectively reflect the corresponding sequence of sub-power consumptions and make the calculation efficient, in particular, step 4 may comprise the following sub-steps:

firstly, screening and removing sub-electricity consumption of sub-meters with preset identifications from the sub-electricity consumption sequence to obtain a sub-electricity consumption intermediate sequence, wherein the preset identifications are generated after operation error correction processing is carried out on the distinguishing electric energy meters in a time slice of the corresponding sub-electricity consumption of the sub-meters;

secondly, performing sliding window processing on the sub-power consumption intermediate sequence according to a preset length to obtain a plurality of sub-power consumption sliding window sequences, wherein the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are the same in number, and the sub-power consumption sub-sequences included in each sub-power consumption sliding window sequence are smaller than the sub-power consumption sub-sequences included in the sub-power consumption intermediate sequence;

thirdly, mapping each sub-meter sub-electricity consumption included in each sub-electricity consumption sliding window sequence based on the average electricity consumption of the sub-meter sub-electricity consumption included in the sub-electricity consumption sliding window sequence to obtain a plurality of electricity consumption identification values included in the sub-electricity consumption sliding window sequence, wherein the electricity consumption identification values corresponding to any two sub-meter sub-electricity consumptions having the same relation with the average electricity consumption (if both are greater than the average electricity consumption) are the same, and the electricity consumption identification values corresponding to any two sub-meter sub-electricity consumptions having different relations with the average electricity consumption (if one is greater than the average electricity consumption, the other is not greater than the average electricity consumption) are different;

fourthly, aiming at each sub-power consumption sliding window sequence, sequencing a plurality of power consumption identification values corresponding to the sub-power consumption sliding window sequence according to the time sequence relation of the corresponding sub-power consumption of the sub-meter to obtain an identification value sliding window sequence corresponding to the sub-power consumption sliding window sequence;

fifthly, calculating a target sequence bit number between each identification value sliding window sequence and each other identification value sliding window sequence aiming at each identification value sliding window sequence, wherein the target sequence bit number is a sequence bit number between two identification value sliding window sequences and having the same power consumption identification value on a corresponding sequence bit (namely, whether the power consumption identification value of a first bit is the same, the power consumption identification value of a second bit is the same, the power consumption identification value of a third bit is the same, and the power consumption identification value of a fourth bit is the same) is required to be determined;

a sixth step of, for each of the identification value sliding window sequences, obtaining a dispersion degree value for each of the target sequence bit numbers corresponding to the identification value sliding window sequence based on the identification value sliding window sequence (for example, 3 target sequence bit numbers are 1, 2, and 3, respectively, a corresponding average value is 2, a corresponding dispersion degree value is (| 1-2 | + | 2-2 | + | 3-2 |)/3 =0.67, 3 target sequence bit numbers are 1, 2, and 6, respectively, a corresponding average value is 3, and a corresponding dispersion degree value is (| 1-3 | + | 2-3 | + | 6-3 |)/3 = 2);

seventhly, determining a target identification value sliding window sequence in the identification value sliding window sequences based on the magnitude relation of the discrete degree values, wherein the target identification value sliding window sequence is the identification value sliding window sequence with the minimum discrete degree value in the identification value sliding window sequences;

and eighthly, taking the sub power consumption sliding window sequence corresponding to the target identification value sliding window sequence as the sub power consumption target sequence corresponding to the sub power consumption sequence.

It is understood that, in the above example, the specific manner for determining the target sub-meter sub-power consumption in the sub-step 5 is not limited, and may be selected according to the actual application requirement.

For example, in one alternative example, substep 5 may comprise the steps of:

firstly, for each sub-power consumption target sequence, performing clustering processing on each sub-meter sub-power consumption included in the sub-power consumption target sequence (for example, performing clustering processing based on some existing classification algorithms, such as a proximity algorithm (also referred to as a K nearest neighbor classification algorithm) and the like) to obtain at least one sub-power consumption set corresponding to the sub-power consumption target sequence, where each sub-power consumption set at least includes one sub-meter sub-power consumption;

secondly, for each sub-power consumption set, determining a corresponding weight coefficient based on an average value of each sub-power consumption of the sub-tables included in the sub-power consumption set, wherein the average value and the weight coefficient have a negative correlation relationship (that is, the larger the average value is, the smaller the corresponding weight coefficient is; conversely, the smaller the average value is, the larger the corresponding weight coefficient is), and the sum of the weight coefficients of at least one sub-power consumption set corresponding to the same sub-power consumption target sequence is 1;

then, for each sub-electricity consumption target sequence, carrying out weighted calculation based on the average value and the weighting coefficient of at least one sub-electricity consumption set corresponding to the sub-electricity consumption target sequence to obtain a weighted sum value, and taking the weighted sum value as the target sub-table sub-electricity consumption of the sub-electricity consumption target sequence.

In the above example, the specific manner of performing the clustering process is not limited, and may be selected according to the actual application requirements.

For example, in one alternative example, the clustering process may be based on the following sub-steps:

firstly, clustering each sub-meter sub-power consumption included in each sub-power consumption target sequence aiming at each sub-power consumption target sequence to obtain at least one sub-power consumption class corresponding to the sub-power consumption target sequence, wherein each sub-power consumption class at least comprises one sub-meter sub-power consumption;

secondly, for each sub-power consumption target sequence, if the sub-power consumption class corresponding to the sub-power consumption target sequence is multiple, determining the number of sub-power consumption classes included in the sub-power consumption class for each sub-power consumption class corresponding to the sub-power consumption target sequence, and screening and excluding one sub-power consumption class with the smallest number, so as to respectively use the reserved at least one sub-power consumption class as a sub-power consumption set, thereby obtaining at least one sub-power consumption set (for example, the sub-power consumption target sequence a includes sub-power consumption class 1, sub-power consumption class 2 and sub-power consumption class 3, the sub-power consumption class 1 includes 2 sub-meter sub-power consumption, the sub-power consumption class 2 includes 10 sub-meter sub-power consumption, and the sub-power consumption class 3 includes 12 sub-meter sub-power consumption, and thus, the sub-power consumption class 1 can be screened and excluded);

then, for each sub-electricity consumption target sequence, if the sub-electricity consumption class corresponding to the sub-electricity consumption target sequence is one, the sub-electricity consumption class is used as a sub-electricity consumption set.

To sum up, the method and the system for processing the operation error data of the electric energy meter in the light carrier area provided by the application obtain the corresponding relationship between the line loss electric quantity and the total power consumption of the meter and the corresponding relationship between the line loss electric quantity and the sub-power consumption of the meter by performing the simulation calculation on the light carrier area, so that the corresponding target line loss electric quantity can be obtained based on the corresponding relationship and the obtained power consumption data of the light carrier area, and then the total operation error data can be obtained based on the target line loss electric quantity, so that the operation error data of each station for distinguishing the electric energy meter can be determined based on the total operation error data and the error proportion information determined in advance for each station for distinguishing the electric energy meter. So, can effectually monitor the running error of light carrier district electric energy meter to improve among the prior art and carry out actual detection and lead to being difficult to carry out the problem of effective monitoring because of needs measurement personnel to the running error of electric energy meter, make to have higher practical value.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. 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.