Intelligent Detection System for Power Wireless Signal Based on Machine Vision Algorithm

Due to the complex structure of power cables, which are often laid underground, if a fault occurs and cannot be located and repaired in a timely manner, it would bring huge economic losses. In order to ensure the safety and stability of the power grid, it is very important to study how to quickly and accurately locate faults in the power grid based on the propagation characteristics of wired and wireless waves. This article aimed to solve key problems in cognitive wireless communication systems by studying signal detection algorithms based on machine vision algorithms. In order to overcome the shortcomings of existing detection methods, this article planed to use machine vision algorithms to design a continuous mode detection method, and compare it with the detection methods of the guide line algorithm and the improved ORB (Oriented Fast and Rotated Brief) algorithm. Experiments showed that the signal detection system based on machine vision algorithms had good accuracy and comprehensive signal detection capabilities, and took shorter time than other algorithms when recognizing images (the recall rate and f1-score of this system were above 0.9, and when the number of images increased from 100 to 1000, the time range was 50–100 seconds, with an average accuracy of 95.817%).