Method for intelligently identifying household-transformer relationship and household-meter relationship in transformer area and meter finder

Abstract

The invention discloses a method for intelligently identifying a household-transformer relationship and a household-meter relationship in a transformer area and a meter finder. The meter finder not only can realize the intelligent identification of the household-transformer relationship, but also can realize the intelligent identification of the household-meter relationship, and is convenient to carry. According to the method for intelligently identifying the household-transformer relationship in a transformer area, normal power utilization of a user is not influenced. Meanwhile, meter boxes do not need to be checked one by one. According to the method, the household change relation with the electrical physical connection relation is completely identified at a time, all the electric metersinstalled under the transformer area are identified, the work intensity of a first-line team is reduced, the workload is reduced. The phase line where each household electric meter in the transformerarea is located can be identified, so that the phase line placed by the background electric meter can be guided and adjusted, and line loss is reduced. According to the method for intelligently identifying the user-meter relationship, the user-meter membership relationship can be correctly distinguished, and the problems of user anti-missort acceptance check, stock area anti-missort troubleshooting and the like of a newly-built community or one-household-one-meter transformation are solved.

Description

technical field [0001] The invention relates to the technical field of electric power system detection, in particular to a method for intelligently identifying the relationship between household transformers and household meters in a station area and a meter finding instrument. Background technique [0002] In recent years, with the deepening of business and distribution integration, the promotion of electricity consumption information systems, and the management of application areas have become more and more refined. The affiliation relationship between variable meters and household meters is the basic data for lean line loss in the station area, and its accuracy directly affects the calculation of daily line loss in the station area. Once the line loss rate is abnormal in a certain station area, it is necessary to carry out the verification of the affiliation relationship between the meter change and the household meter for the station area. However, there are the followin...

AI Technical Summary

Problems solved by technology

[0003] 1) The traditional user verification in the station area requires manual inspection of meter boxes one by one on site, which is time-consuming, laborious and inefficient. There are problems of heavy workload and difficult verification, especially the identification of cable lines is very laborious

[0004] 2) The verification method adopts the instantaneous power failure method. This method has high requirements on the quality of the meter, the interval between power transmission and power failure, and on-site user services. It will also generate data that cannot be analyzed. Electricity has a great impact on the quality of power supply, there is a risk of user complaints and damage to the user's household appliances, and it cannot be used frequently

Images