Target Image Recognition Transmission Line Status Monitoring System Based on Visual Attention Mechanism

Abstract

The invention discloses a target image identification transmission line state monitoring system based on a visual attention mechanism. The target image identification transmission line state monitoring system comprises a monitoring device on a tower pole, another monitoring device on a line and a monitoring center, wherein the monitoring device on the tower pole comprises a data image acquisition terminal, a master control unit and a wind-solar complementary system; the monitoring device on the line comprises an acquisition terminal on the line, a master control unit on the line and a current sensing electricity taking device; and both the monitoring device on the tower pole and the monitoring device on the line send the data to the monitoring center by a wireless video and data communication unit via a GPRS (General Packet Radio Service) / EDGE (Electronic Data Gathering Equipment) / 3G network. The whole system is a comprehensive application system which integrates software and hardware, as well as integrates automatic control, computer data processing and communication, the purpose of all-weather on-line monitoring under any complex weather condition is realized, and the image identification efficiency and the transmission line state detection accuracy are substantially improved.

Description

technical field [0001] The invention relates to a target image recognition transmission line state monitoring system based on a visual attention mechanism, and belongs to the technical field of transmission line state monitoring systems. Background technique [0002] The transmission line status monitoring system is an important link in the construction of the national smart grid and the creation of a unified, strong and intelligent grid. It is an intelligent monitoring system supported by communication, information and control technologies. The all-weather online monitoring application system for pollution, icing, wind and rain, wind deviation, galloping, and channel conditions is to realize line operation status evaluation, fault diagnosis, condition maintenance and risk warning, and realize controllable, controllable and in-control line operation status important means and effective methods. Conductor sag, conductor temperature and environmental meteorological conditions...

AI Technical Summary

Problems solved by technology

However, the application of state monitoring in the transmission line online monitoring system is less than 5 years old. Based on the state monitoring and prediction of BP neural network technology, the system has a problem that the prediction results are unstable when the sample data is small, so it can be applied and promoted. Poor ability and other issues

[0007] In summary, the existing transmission line condition monitoring system still needs to be improved urgently

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