Research on temperature monitoring of power cable based on UHF-RFID/RBF

Cable is an important equipment in urban construction. According to statistics, most cable accidents are caused by damage caused by cable temperature. Therefore, monitoring cable temperature is of great significance.Due to the complex environment of cable installation in actual situation, wireless UHF-RFID technology is chosen to monitor temperature, which can not only effectively save cost, but also improve efficiency, but also power supply within the system. At the same time, an experimental platform is built to collect data and used for temperature prediction research. This paper will be the UHF RFID technology is applied to the cable temperature monitoring, and then use RBF neural network algorithm to the measured pressure joint, plug connector and cable core temperature of the ontology, accord-ing to the cable skin temperature, environment humidity, environment temperature, cable current carrying capacity, operation time, five impact factor for training and prediction, the MATLAB simulation temperature figure, The com-parison error with actual temperature is very small, which proves that UHF-RFID/RBF prediction is reliable.