Intelligent monitoring system for operation state of low-voltage transformer area

Abstract

The invention relates to an intelligent monitoring system for the operation state of a low-voltage transformer area, and the system comprises a data collection module which is used for collecting operation parameter data; a topology identification data analysis module which is used for carrying out statistical analysis by utilizing a topology identification calculation model, identifying or verifying a box-table relationship and a user-transformer relationship to achieve topology identification mapping; and a topology identification imaging module which is used for visually displaying a data analysis result, dynamically generating a topological graph and performing real-time tracking verification, and supporting dynamic and conditional query of transformer area management, transformer areatopology, abnormity and analysis logs. According to the invention, a power grid safety power utilization management and safety operation and maintenance monitoring mode can be effectively realized, and a reliable basis is provided for overall planning and overall management of the power grid.

Description

technical field [0001] The invention relates to the field of operation monitoring of a station area, in particular to an intelligent monitoring system for the operation state of a low-voltage station area. Background technique [0002] The low-voltage distribution network is an end network that directly supplies power to users. It undertakes the key function of transmitting domestic electricity at the end of the power network and is an important part of the power grid. During the construction of the low-voltage distribution network, there are errors in the file of the user's electric meter line or the change of the electric meter file during maintenance. analysis, etc. have a great impact. The traditional low-voltage distribution network topology identification detection mainly relies on manual inspection means, that is, according to the distribution and direction of the distribution network in the low-voltage station area, the hand-held household variable identification in...

AI Technical Summary

Problems solved by technology

During the construction of the low-voltage distribution network, there are errors in the file of the user's electric meter line or the change of the electric meter file during maintenance. analysis, etc. have a great impact

The traditional low-voltage distribution network topology identification detection mainly relies on manual inspection means, that is, according to the distribution and direction of the distribution network in the low-voltage station area, the hand-held household variable identification instrument is used to conduct a manual survey section by section. Many, cable trenches or overhead lines are laid in parallel, the inspection is not only inefficient and costly, but also cannot obtain real-time and accurate topological information of household substations in low-voltage station areas

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