Recognition method of multi-smart meters under centralized metering system and centralized metering system

Abstract

The invention discloses a multi-smart meter recognition method under a centralized metering system, wherein the recognition method includes: an intelligent management controller recognizes the power-on state of the power grid based on a sensor signal, generates a meter position information communication command and sends it to the multi-channel control device; the multi-channel controller receives the epi-position information communication command, and writes the epi-position information into the smart table corresponding to the epi-position; the intelligent management controller inquires whether the task of writing the epi-position of the multi-channel controller is completed, and reads the multi-channel The epitope information of multiple smart meter epilogues managed by the controller; the intelligent management controller judges whether the smart meter type information of the smart meter installed under the centralized metering system is consistent with the corresponding epitope information according to the smart meter data package information If it matches, it will give an alarm if it does not match, and record the abnormal status information of the installation. In the embodiment of the present invention, the use of the identification method can greatly improve the application and installation efficiency of the on-site smart meter quick matching combination, so as to adapt to the flexible change of the user's electricity demand.

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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