Power transmission line external force damage intelligent identification method based on intelligent sensing terminal

Abstract

The invention discloses a power transmission line external force damage intelligent identification method based on an intelligent sensing terminal. The method is reasonable in step and convenient to operate stably. The sensing terminal is connected with a corresponding network data aggregation server, a plurality of network data aggregation nodes, a branch box monitoring unit, a meter box monitoring unit, a user power supply monitoring module box body, an internal storage battery, a power supply management board, an ARM image processing board, an infrared analog camera, a digital camera, a GPSmodule and a solar cell panel arranged outside the box body, a target recognition machine, a server and a mobile phone mobile terminal comprising a 4G module, the infrared analog camera is connectedwith the ARM image processing board and is used for acquiring image data of a power transmission line and sending the acquired image to the target recognition machine through the 4G module; The methodis reasonable in step and stable in effect, and the tedious step of manually selecting features is liberated; the method is high in dangerous operation target recognition rate, is high in recognitionrate, and can guarantee the real-time requirements.

Description

technical field [0001] The invention belongs to the technical field of intelligent detection of transmission lines, and in particular relates to an intelligent identification method for external force damage of transmission lines based on an intelligent sensing terminal. Background technique [0002] The power transmission line is an important piece of infrastructure in our country. It plays an essential role in the life of the people of the country and the development of all walks of life. Once it is damaged, its harmful force is very huge. However, the damage of the power transmission line is also With the development of science and technology, the current traditional target recognition method is generally divided into three stages: first select some candidate areas on a given image, and then extract features from these areas , and finally use the trained classifier for classification recognition. However, there are two main problems in this identification method: one is ...

AI Technical Summary

Problems solved by technology

However, there are two main problems in this identification method: one is that the area selection strategy based on the sliding window is not targeted, the time complexity is high, and the windows are redundant, which brings great difficulties