阅读说明：本技术 一种低压计量箱故障智能指示方法及指示器 (Intelligent fault indication method and indicator for low-voltage metering box ) 是由 顾哲伟 董勤飞 洪宇峰 张钟其 周伟杰 姚新曙 马泰 于 2020-12-22 设计创作，主要内容包括：一种低压计量箱故障智能指示方法及指示器,方法包括：初始数据采集：在模拟实验中将低压计量箱连接电网及模拟负载,模拟故障诱因,直至低压计量箱出现故障,记录故障类型、对应的异常参数以及诱因条件,得到诱因表；诱因分析：采集出现故障的低压计量箱的故障参数,结合诱因表根据匹配度对故障类型和诱因排序；诱因指示：获取指定区域内出现故障的低压计量箱的诱因排序,检查未出现故障的低压计量箱的诱因条件相似度,对高于阈值的进行指示。本发明通过对诱因条件及异常参数的划分和记录,确定故障类型的同时,提供可能的故障诱因,并对条件相似的低压计量箱进行指示,帮助维护人员提早维护,以避免故障重复发生。(An intelligent fault indication method and an indicator for a low-voltage metering box are disclosed, wherein the method comprises the following steps: initial data acquisition: in a simulation experiment, connecting a low-voltage metering box with a power grid and a simulation load, simulating fault inducement until the low-voltage metering box breaks down, and recording fault types, corresponding abnormal parameters and inducement conditions to obtain an inducement table; and (3) cause analysis: collecting fault parameters of a low-voltage metering box with a fault, and sorting fault types and inducers according to the matching degree by combining an inducement table; inducement indication: and acquiring the inducement sequence of the low-voltage metering box with the fault in the designated area, checking the inducement condition similarity of the low-voltage metering box without the fault, and indicating the inducement sequence is higher than a threshold value. The fault type is determined by dividing and recording the incentive conditions and the abnormal parameters, the possible fault incentive is provided, the low-voltage metering boxes with similar conditions are indicated, and the low-voltage metering boxes help maintenance personnel to maintain in advance so as to avoid repeated faults.)

1. A fault intelligent indicating method for a low-pressure metering tank is characterized by comprising the following steps:

initial data acquisition: in a simulation experiment, connecting a low-voltage metering box with a power grid and a simulation load, simulating fault inducement until the low-voltage metering box breaks down, and recording fault types, corresponding abnormal parameters and inducement conditions to obtain an inducement table;

and (3) cause analysis: collecting fault parameters of a low-voltage metering box with a fault, and sorting fault types and inducers according to the matching degree by combining an inducement table;

inducement indication: and acquiring the inducement sequence of the low-voltage metering box with the fault in the designated area, checking the inducement condition similarity of the low-voltage metering box without the fault, and indicating the inducement sequence is higher than a threshold value.

2. The method as claimed in claim 1, wherein the fault type includes external line power failure, self fault and internal line fault, the incentive condition includes meteorological condition, external line condition, load condition and accidental damage, and the accidental damage does not take into account the scope of incentive indication.

3. The method as claimed in claim 2, wherein the incentive table records temperature, humidity, node voltage, node current and incentive conditions corresponding to each fault type, and weight distribution is performed on abnormal parameters and incentive conditions of each fault type.

4. The intelligent fault indication method for the low-pressure metering tank is characterized in that the calculation process of the matching degree comprises the following steps: and calculating the sample deviation degree of each parameter according to the fault parameters and the abnormal parameters of the incentive table, and obtaining the matching degree according to the total value of the sample deviation degrees after the weight is statistically superposed.

5. The intelligent fault indication method for the low-pressure metering tank is characterized in that the calculation process of the incentive condition similarity comprises the following steps: and calculating the sample deviation degree of each incentive condition, and calculating the similarity of the incentive conditions according to the total value of the sample deviation degrees after the statistics of the weight superposition.

6. A low pressure metering tank fault smart indicator that performs the method of claim 1, comprising:

the acquisition unit comprises a plurality of sensors and is used for acquiring initial data;

and the processing unit is connected with the acquisition unit and used for analyzing and indicating the incentive.

7. The intelligent low-voltage metering box fault indicator as claimed in claim 6, wherein the acquisition unit comprises three groups of sensors which are respectively arranged at a power supply access side wiring position of the metering box, a metering meter position inside the metering box and an output side wiring position of the metering box.

Technical Field

The invention relates to the field of fault judgment, in particular to an intelligent fault indication method and an intelligent fault indication device for a low-voltage metering box.

Background

The low-pressure metering box is used for the important task of electricity metering and charging and needs to be continuously and stably operated. Because the field environment is complex, the low-pressure metering box is influenced by long-term severe temperature and humidity changes, thunder, power grid fluctuation, electromagnetic interference and the like, and the low-pressure metering box inevitably breaks down under the influence of external environment and load factors, so that the maintenance cost is increased, the repair rate of a user is increased, and the income performance of staff of a primary power supply station is indirectly influenced. In China, hundreds of millions of power users exist, the number of low-voltage metering boxes is large, in recent years, with the construction of national law society, the awareness of the right of people is gradually improved, the power consumption is further supervised, and the fault diagnosis of a power grid company aiming at the low-voltage metering boxes is also urgently needed to be enhanced.

The low-voltage metering box is the essential equipment of user's power consumption, and the low-voltage metering box is concerned with user's power consumption benefit, in case break down will influence user's normal power consumption, and the electroless phenomenon of common user divide into external line power failure, batch meter self trouble and interior line trouble three kinds of types, and wherein two kinds of reasons in the front belong to power supply company and salvage the scope, and interior line trouble then needs the user to maintain by oneself and solve. The invention application with publication number CN108764598A discloses a low-pressure metering box fault risk assessment method, which comprises the following steps: 1) determining key components of the low-voltage metering box by adopting a CCA method based on fault influence factors of the low-voltage metering box; 2) establishing an FMEA quantitative scoring model of the low-voltage metering box; 3) and performing risk assessment on the faults of the key components based on the FMEA quantitative scoring model of the low-pressure metering box, and determining the risk control priority of each fault.

The existing low-voltage metering box cannot accurately reflect the fault type causing no electricity of a user, and does not have the function of automatically reporting to a power supply company for repair after the fault occurs, so that the series of problems that the time from power failure to power restoration of the user is long, manpower is wasted and the like are caused. Or even if the preliminary fault judgment can be carried out, the fault inducement cannot be reflected, so that the fault appears repeatedly, and the use and maintenance efficiency of a user is also influenced.

Disclosure of Invention

The invention provides a fault intelligent indicating method and a fault intelligent indicator for a low-voltage metering box, aiming at the problem that the prior art cannot reflect fault types and fault causes of the low-voltage metering box.

The technical scheme of the invention is as follows.

A low-pressure metering box fault intelligent indicating method comprises the following steps:

initial data acquisition: in a simulation experiment, connecting a low-voltage metering box with a power grid and a simulation load, simulating fault inducement until the low-voltage metering box breaks down, and recording fault types, corresponding abnormal parameters and inducement conditions to obtain an inducement table;

and (3) cause analysis: collecting fault parameters of a low-voltage metering box with a fault, and sorting fault types and inducers according to the matching degree by combining an inducement table;

inducement indication: and acquiring the inducement sequence of the low-voltage metering box with the fault in the designated area, checking the inducement condition similarity of the low-voltage metering box without the fault, and indicating the inducement sequence is higher than a threshold value.

The method obtains the incentive table of each fault by dividing and recording incentive conditions and abnormal parameters, determines or sorts the fault types according to the abnormal parameters in the subsequent analysis process, screens equipment which possibly fails according to the incentive conditions, and indicates the equipment.

Preferably, the fault types include an external line power failure, a self fault and an internal line fault, and the incentive conditions include meteorological conditions, external line conditions, load conditions and accidental injuries, wherein the accidental injuries do not take into account the scope of incentive indication. The weather conditions are divided into severe weather represented by thunderstorm, storm wind, rainstorm or snowstorm and conventional weather represented by cloudy days, sunny days and the like, the specific division standard is determined according to regions, the external line conditions are common parameters such as load capacity, voltage and current of a power grid, the load conditions are common parameters such as power, voltage and current of a load side, accidental damage represents damage of a physical structure, such as fracture, abrasion, looseness and the like, and the accidental damage does not account for the scope of inducement indication.

Preferably, the cause table records temperature, humidity, node voltage, node current, and cause conditions corresponding to each fault type, and assigns weights to the abnormal parameters and the cause conditions for each fault type. The collection of the temperature, the humidity, the node voltage and the node current depends on a collection object and a tool of a specific collection unit, and the collection object and the tool are unified to ensure the usability of data.

Preferably, the calculating process of the matching degree includes: and calculating the sample deviation degree of each parameter according to the fault parameters and the abnormal parameters of the incentive table, and obtaining the matching degree according to the total value of the sample deviation degrees after the weight is statistically superposed. If a certain parameter in the fault parameters is A and the median value of the abnormal parameters of the incentive table is B, A/B is the sample deviation degree, the weight is C, and CA/B is the sample deviation degree after the weight is superposed, and the total value is obtained by accumulation.

Preferably, the calculating process of the incentive condition similarity includes: and calculating the sample deviation degree of each incentive condition, and calculating the similarity of the incentive conditions according to the total value of the sample deviation degrees after the statistics of the weight superposition. The calculation of the outside line condition and the load condition is the same as the above, and is characterized in that the sample deviation degree of the meteorological condition is 1 as in severe weather, and is 0 as in normal weather, and finally, the total value is obtained by adding the weights respectively and then accumulating.

The invention also comprises an intelligent fault indicator of the low-voltage metering box, which executes the method and comprises the following steps: the acquisition unit comprises a plurality of sensors and is used for acquiring initial data; and the processing unit is connected with the acquisition unit and used for analyzing and indicating the incentive.

The three groups of sensors are respectively arranged at the wiring position of the power supply access side of the metering box, the metering meter position in the metering box and the wiring position of the output side of the metering box, and can correspondingly sense three fault types, namely an external line fault and an indoor line fault shared by the faults of the metering box.

When the processing unit detects that all the three groups of sensors return no-power signals, the fault is judged to be an external line fault; when no electric signals of a meter position of the internal meter and an output side sensor are detected, judging that the fault is the fault of the metering box; when only the no-power signal of the output side sensor is detected, judging that the fault is a user wiring fault; and when the non-electrical signals of other combination modes are detected, judging that the fault indicator is in fault.

The substantial effects of the invention include: the method comprises the steps of obtaining a cause table of each fault through dividing and recording cause conditions and abnormal parameters, determining or sequencing fault types according to the abnormal parameters in the subsequent analysis process, screening equipment which possibly fails according to the cause conditions, indicating, providing possible fault causes while determining the fault types, indicating low-voltage metering boxes with similar conditions, helping maintainers maintain in advance, and avoiding repeated faults.

Detailed Description

The technical solution of the present application will be described with reference to the following examples. In addition, numerous specific details are set forth below in order to provide a better understanding of the present invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present invention.

Example (b):

a low-pressure metering box fault intelligent indicating method comprises the following steps:

initial data acquisition: in a simulation experiment, connecting a low-voltage metering box with a power grid and a simulation load, simulating fault inducement until the low-voltage metering box breaks down, and recording fault types, corresponding abnormal parameters and inducement conditions to obtain an inducement table;

and (3) cause analysis: collecting fault parameters of a low-voltage metering box with a fault, and sorting fault types and inducers according to the matching degree by combining an inducement table;

inducement indication: and acquiring the inducement sequence of the low-voltage metering box with the fault in the designated area, checking the inducement condition similarity of the low-voltage metering box without the fault, and indicating the inducement sequence is higher than a threshold value.

In the embodiment, the incentive table of each fault is obtained by dividing and recording the incentive conditions and the abnormal parameters, and in the subsequent analysis process, the fault types are determined or sorted according to the abnormal parameters, and then the equipment which is likely to have faults is screened according to the incentive conditions and indicated.

The fault types comprise external line power failure, self fault and internal line fault, and the inducement conditions comprise meteorological conditions, external line conditions, load conditions and accidental injuries, wherein the accidental injuries do not take into account the range indicated by the inducement. The weather conditions are divided into severe weather represented by thunderstorm, storm wind, rainstorm or snowstorm and conventional weather represented by cloudy days, sunny days and the like, the specific division standard is determined according to regions, the external line conditions are common parameters such as load capacity, voltage and current of a power grid, the load conditions are common parameters such as power, voltage and current of a load side, accidental damage represents damage of a physical structure, such as fracture, abrasion, looseness and the like, and the accidental damage does not account for the scope of inducement indication.

The incentive table of this embodiment records the temperature, humidity, node voltage, node current, and incentive conditions corresponding to each fault type, and performs weight assignment on the abnormal parameters and incentive conditions of each fault type. The collection of the temperature, the humidity, the node voltage and the node current depends on a collection object and a tool of a specific collection unit, and the collection object and the tool are unified to ensure the usability of data.

The calculation process of the matching degree comprises the following steps: and calculating the sample deviation degree of each parameter according to the fault parameters and the abnormal parameters of the incentive table, and obtaining the matching degree according to the total value of the sample deviation degrees after the weight is statistically superposed. If a certain parameter in the fault parameters is A and the median value of the abnormal parameters of the incentive table is B, A/B is the sample deviation degree, the weight is C, and CA/B is the sample deviation degree after the weight is superposed, and the total value is obtained by accumulation.

The calculation process of the incentive condition similarity comprises the following steps: and calculating the sample deviation degree of each incentive condition, and calculating the similarity of the incentive conditions according to the total value of the sample deviation degrees after the statistics of the weight superposition. The calculation of the outside line condition and the load condition is the same as the above, and is characterized in that the sample deviation degree of the meteorological condition is 1 as in severe weather, and is 0 as in normal weather, and finally, the total value is obtained by adding the weights respectively and then accumulating.

The present embodiment further includes an indicator for performing the above method, including: the acquisition unit comprises a plurality of sensors and is used for acquiring initial data; and the processing unit is connected with the acquisition unit and used for analyzing and indicating the incentive.

The three groups of sensors are respectively arranged at the wiring position of the power supply access side of the metering box, the metering meter position in the metering box and the wiring position of the output side of the metering box, and can correspondingly sense three fault types, namely an external line fault and an indoor line fault shared by the faults of the metering box.

When the processing unit detects that all the three groups of sensors return no-power signals, the fault is judged to be an external line fault; when no electric signals of a meter position of the internal meter and an output side sensor are detected, judging that the fault is the fault of the metering box; when only the no-power signal of the output side sensor is detected, judging that the fault is a user wiring fault; and when the non-electrical signals of other combination modes are detected, judging that the fault indicator is in fault.

The substantial effects of the present embodiment include: the method comprises the steps of obtaining a cause table of each fault through dividing and recording cause conditions and abnormal parameters, determining or sequencing fault types according to the abnormal parameters in the subsequent analysis process, screening equipment which possibly fails according to the cause conditions, indicating, providing possible fault causes while determining the fault types, indicating low-voltage metering boxes with similar conditions, helping maintainers maintain in advance, and avoiding repeated faults.

Through the description of the above embodiments, those skilled in the art will understand that, for convenience and simplicity of description, only the division of the above functional modules is used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of a specific device is divided into different functional modules to complete all or part of the above described functions.

In the embodiments provided in this application, it should be understood that the disclosed structures and methods may be implemented in other ways. For example, the above-described embodiments with respect to structures are merely illustrative, and for example, a module or a unit may be divided into only one logic function, and may have another division manner in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another structure, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, structures or units, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed to a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributed to by the prior art, or all or part of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.