Transmission line anti-outer damage vehicle identification and danger behavior discrimination system and method

Abstract

The invention discloses a transmission line anti-outer damage vehicle identification and danger behavior discrimination system and method; the system comprises a front end power transmission line intelligent anti-outer damage early warning device, a rear end center management platform and a mobile client end; the front end and rear end of the system are respectively provided with a depth learningmodule; the depth learning modules in front and rear ends can operate in synergy, thus finishing transmission line anti-outer damage vehicle identification and vehicle danger behavior early warning and discrimination; the model and parameters of the depth learning module in the front end are provided online through rear end training; the center management platform determines the layers and convolution kernel size of the depth learning network, and trains the depth learning network. The invention also provides a discrimination method of the system; the system and method can prevent training costs of the front end depth learning network, can reduce the complexity of the front end system, and can solve the problems that the rear end intelligent analysis is high in video transmission cost andlow in timeliness.

Description

technical field [0001] The invention belongs to the field of electric power supply technology and its intellectualization, and in particular relates to a vehicle identification and dangerous behavior discrimination system and method for preventing external breakage of power transmission lines. Background technique [0002] High-voltage transmission lines have the characteristics of large coverage, wide distribution area, long transmission distance, complex and changeable natural and geographical conditions, and many sources of damage. They bring great challenges to the daily operation, maintenance and repair of lines, especially for towers or Potential external breaches such as pump trucks, engineering vehicles and other large vehicles passing by near the line, and nearby crane construction pose threats to the normal operation of the transmission line. [0003] In recent years, various new technologies and equipment have been continuously introduced for automatic detection a...

AI Technical Summary

Problems solved by technology

However, the defect of this method is that the dimension of the feature vector is too high, which is prone to "dimension disaster". In addition, the features extracted by SIFT are designed manually, which makes it difficult to describe the characteristics of vehicles in complex scenes, poor adaptability, poor generalization ability, Low recognition accuracy and insufficient early warning reliability

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