基于电力线通信的电力线智能诊断(三):人工智能辅助的监测与定位OA

Power line communication and power frequency energy transmission share the same medium,and the subtle dynamic changes in the physical properties of power lines will significantly affect the transmission characteristics of broadband communication signals.The technology of using these changes to detect the status of power lines in reverse still lacks a systematic solution.In response to this issue,this paper proposes an intelligent monitoring method for power line anomalies based on power line communication,which combines power line communication with artificial intelligence to achieve real-time monitoring and recognition of various types of power line anomalies in complex and dynamically changing network environments.Firstly,the power line channel containing abnormal features is modelled,and the channel frequency response at the receiving end through pilot signals is estimated.The random forest algorithm is used to complete online monitoring and identification of power line aging,and predict the degree of aging.The estimated impedance spectrum is used,and a generalized integral transformation on it is performed to obtain the ranging function,and the localization of abnormal power line segments is achieved.An experimental platform built to test aging power lines has verified the effectiveness and practicality of this method,indicating that it can serve as an effective solution for monitoring,identifying,warning,and locating power line aging,and has important practical application value.