Research on Edge Intelligence Technology of Power Transmission Line Equipment Internet of Things

Transmission line dynamic rating technology can improve the transmission efficiency and transmission capacity of the existing transmission system to meet the increasing power demand and new energy integration needs. However, a large number of sensors are connected to the system, and the acquired sensing data is massive, resulting in a heavy calculation load for the master station. This paper first analyzes the influence of transmission line parameters and micro-climate factors on dynamic rating and clamp heating, and then uses ultra-high frequency sensors to collect information on the heating of transmission line clamps. In addition, the data collected by the sensor is processed in real time through the edge computing of the clip heating based on the hierarchical Bayesian processing, and finally through the dynamic capacity-increasing edge computing of an echo state network model, the data processing and judgment are realized on the spot, and the power transmission is improved line transmission capacity.