Multi-intelligent-meter identification method under centralized metering system and centralized metering system

Abstract

The invention discloses a multi-intelligent-meter identification method under a centralized metering system, and the method comprises the steps that an intelligent management controller recognizes power-on state of a power grid based on a sensor signal, generates a meter position information communication instruction, and transmits the meter position information communication instruction to a multi-path controller; after receiving the meter position information communication instruction, the multi-path controller writes the meter position information into an electric energy meter in a corresponding meter position; an intelligent management controller inquires whether a meter position writing task of the multi-path controller is completed or not, and if the task is completed, meter positioninformation of a plurality of electric energy meter positions managed by the multi-path controller is read; and the intelligent management controller judges whether the meter type information of theelectric energy meters installed in the centralized metering system is matched with the corresponding meter position information according to the electric energy meter data packet information, gives an alarm if the electric energy meter type information of the electric energy meter installed in the centralized metering system is not matched with the corresponding meter position information, and records installation abnormal state information. According to the embodiment of the invention, the method can greatly improve the quick matching, combination, application and installation efficiency ofon-site electric energy meters so as to adapt to the flexible change of the power demands of users.

Description

technical field [0001] The invention relates to the combined application field of multi-phase electric energy meters, in particular to a method for identifying multi-smart meters under a centralized metering system and a centralized metering system. Background technique [0002] In recent decades, electronic smart energy meters have been popularized and developed in the power industry at home and abroad. At the same time, there are still some differences in the formulation of electricity demand plans for industrial and commercial users and residential users. In the pre-planning of infrastructure construction, it is impossible to adaptively match the initial installation situation with user needs, and it is impossible to judge whether the wrong meter is connected based on the existing user base, or the installation failure of the smart meter cannot be obtained in time, and it is also difficult to define the later stage. Therefore, it cannot better meet the needs of later user...

AI Technical Summary

Problems solved by technology

In the pre-planning of infrastructure construction, it is impossible to adaptively match the initial installation situation with user needs, and it is impossible to judge whether the wrong meter is connected based on the existing user base, or the installation failure of the smart meter cannot be obtained in time, and it is also difficult to define the later stage. Therefore, it cannot better meet the needs of later users in different stages of power consumption business

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