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System and method for detecting and evaluating running state of intelligent electric energy meter

A smart electric energy meter and operating state technology, applied in the field of intelligent electric energy meter operating state detection and evaluation system, can solve the problems of long fault processing period, heavy sorting workload, less attention to the operating state of metering devices, etc., to improve data processing capabilities and efficiency, optimize management methods and storage structure, and improve the effect of quality control level

Pending Publication Date: 2022-02-18
QUJING POWER SUPPLY BUREAU YUNNAN POWER GRID CO LTD
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AI Technical Summary

Problems solved by technology

[0004] 1) The effect of periodic inspection is not ideal, and the problem of electric energy measurement outside the inspection time cannot be found in time;
[0005] 2) The fault handling cycle is long;
[0006] 3) For the maintenance strategy of electrical equipment, regular maintenance based on time is mainly adopted, which will cause the cost of "over-maintenance" and "under-maintenance" and lead to a decrease in the reliability of the device;
[0007] 4) There are many risk factors in the periodic verification of electric energy meters, and the risk is great;
[0008] 5) The efficiency of file management is low, and the workload of recording and sorting with paper documents or text files is heavy; the sharing is poor; and it is inconvenient to consult
Domestic research on electric energy metering mainly focuses on the communication transmission and processing of metering data, and less attention is paid to the operating status of metering devices. The status inspection of metering devices is mainly realized by manual on-site periodic inspections, and there is no evaluation method for the operating status of electric energy metering devices. with the system

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  • System and method for detecting and evaluating running state of intelligent electric energy meter
  • System and method for detecting and evaluating running state of intelligent electric energy meter
  • System and method for detecting and evaluating running state of intelligent electric energy meter

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Embodiment 1

[0318] The technical solution of the present invention is verified by the following examples, and in combination with the idea of ​​integrated learning, T random sampling (such as T=10) is carried out to the training set D to form T groups of training data sets D 1 ,...,D T . T Bayesian network models are trained by machine learning methods. The basic principle is to design a scoring function to measure the fitting degree of the Bayesian network and the data, then search for the Bayesian network structure with the highest score based on the heuristic search algorithm, and learn the parameters of the Bayesian network based on the maximum likelihood method, such as Figure 4 .

[0319] Design a similarity function to estimate the similarity of any two Bayesian networks in state evaluation, cluster the generated T Bayesian networks based on the clustering algorithm, and divide them into K (K Figure 5 shown.

[0320] Using the K Bayesian networks selected in the previous step a...

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Abstract

The invention provides a system and method for detecting and evaluating the running state of an intelligent electric energy meter, wherein the method comprises the steps: S1, obtaining a plurality of error state data of the intelligent electric energy meter, and recording the data as the historical data of the intelligent electric energy meter; S2, performing quantization processing and normalization processing on the multiple pieces of error state data in sequence; S3, performing normalization evaluation weighting on the normalized data, performing state evaluation according to a preset threshold value, and recording an evaluation result as performance degradation data; S4, performing data preprocessing on the performance degradation data and the historical data of the intelligent electric energy meter to obtain training data; S5, establishing a detection and evaluation model, and performing model training by using the training data to obtain an optimal detection and evaluation model; and S6, substituting the error state data of the to-be-detected intelligent electric energy meter into the optimal detection and evaluation model, and thus obtaining an operation state detection and evaluation result of the to-be-detected intelligent electric energy meter. According to the method, the running state and performance degradation failure prediction of the intelligent electric energy meter can be scientifically evaluated.

Description

【Technical field】 [0001] The invention relates to the technical field of detection and evaluation of smart electric energy meters, in particular to a system and method for detecting and evaluating the operating state of an intelligent electric energy meter. 【Background technique】 [0002] With the continuous advancement of the power marketization process, the electric energy metering device has become an indispensable basic equipment in the technical support system of the electric power market. And reliability put forward higher and higher requirements. The on-line monitoring system of the state of the electric energy metering device effectively guarantees the accuracy and reliability of the electricity transaction between the power generation, power supply, and power consumption units. Especially with the gradual improvement of the reform of the power enterprise system, the assessment of economic benefits is becoming more and more important. In order to ensure the accuracy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06Q10/04G06Q10/06G06Q50/06G06N3/12G06F111/08
CPCG06F30/27G06Q10/04G06Q10/06393G06Q50/06G06N3/126G06F2111/08G06F18/23213G06F18/24155G06F18/214
Inventor 刘光界熊金王燕萍常军超
Owner QUJING POWER SUPPLY BUREAU YUNNAN POWER GRID CO LTD
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