Electric energy meter operation state monitoring method based on genetic algorithm and social agglomeration
A technology of running status and genetic algorithm, applied in the direction of genetic rules, measuring devices, genetic models, etc., can solve the problems of low failure rate of electric energy meter field operation, lack of practical significance of field inspection, and difficulty in meeting the management direction of reducing staff and increasing efficiency of enterprises , to achieve the effect of ensuring universal applicability and demand pertinence, solving the problem of fuzzy characteristics of users' electricity consumption, and realizing fault warning and hidden danger investigation
Active Publication Date: 2019-04-16
SHANGHAI MUNICIPAL ELECTRIC POWER CO
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Problems solved by technology
The investment in transportation and manpower is huge, and it is difficult to meet the current management direction of reducing staff and increasing efficiency.
At the same time, with the advancement of science and technology and the improvement of product quality, the on-site operation failure rate of electric energy meters is getting lower and lower, and frequent on-site inspections lack practical significance
[0003] Judging the operation status of the entire batch of electric energy meters based on the results of sampling inspections, and based on this to determine the entire batch of electric energy meters to rotate or continue to use the random inspection supervision method is currently a method of evaluating the operating state of electric energy and operating replacement methods that are commonly used. The method is more troublesome
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[0027] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
[0028] Such as figure 1 As shown, the present invention provides a method for monitoring the operating state of electric energy meters based on genetic algorithm and community clustering, comprising the following steps:
[0029] 1) Obtain the basic data of the electric energy meter to be tested, perform data screening and cleaning, and extract the characteristic parameters of the electric energy consumption of the electric energy meter to be tested. The clustering algorithm is determined;
[0030] 2) Based on the characteristic parameters of electricity consumption, a state evaluati...
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The invention relates to an electric energy meter operation state monitoring method based on a genetic algorithm and social agglomeration, and the method comprises the following steps: 1) obtaining the basic data of a to-be-detected electric energy meter, and extracting the power utilization characteristic parameters of the to-be-detected electric energy meter; 2) on the basis of the power utilization characteristic parameters, acquiring the operation state of the to-be-tested electric energy meter by adopting an electric energy meter state evaluation model based on a genetic algorithm and a multivariate neural network; wherein the power utilization characteristic parameters are selected according to electric energy meter operation state correlation factors, and the electric energy meter operation state correlation factors are determined based on a social agglomeration algorithm. Compared with the prior art, the method has the advantages of promoting the state alternation of the electric energy meter to be reasonable and intelligent, timely discovering the fault meter and the electric energy meter with potential quality hazards, guaranteeing the operation quality level of the electric energy meter and the like.
Description
technical field [0001] The invention relates to a method for monitoring the state of an electric energy meter, in particular to a method for monitoring the operating state of an electric energy meter based on a genetic algorithm and community clustering. Background technique [0002] As a statutory measuring instrument, the electric energy meter is responsible for the measurement, storage and transmission of important information such as voltage, current, and electric energy. The accuracy and timeliness of electric energy measurement and information transmission are related to the quality and efficiency of electricity bill settlement between the power company and customers. . For the millions of operating electric energy meters that measure a large amount of electricity, at present, regular on-site inspections are generally used to monitor their operating status. The huge amount of investment in transportation and manpower is difficult to meet the current management directi...
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IPC IPC(8): G06N3/12G01R35/04
CPCG06N3/126G01R35/04
Inventor 王新刚张垠赵舫陈金涛魏晓川
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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