In order to solve the traditional long-distance ultra-high voltage (UHV)
transmission-line risk warning system in the design process, it neglects
the classification step of early warning information, which leads to the
poor effect of risk early warning, the authors propose fault prediction and
simulation analysis of UHV transmission-line based on thermal energy
transformation. In the hardware design part, the network video server is
used to design the host control module, and the video decoding chip is used
to convert the acquired analog signal into digital signal, then it is
transmitted to the serial port server, and the risk warning circuit is
designed based on it. In the software design, GA-BP algorithm is used to
obtain the number of nodes in the middle layer, the constraint range is
determined, and the warning information is classified to realize the risk
warning of long-distance UHV transmission-lines. The experimental results
show that the warning accuracy of the system under different conditions is
high, and the highest warning effect can reach 95%. It is proved that the
classification recall rate of early warning information is high, which can
effectively resist interference and provide strong support for the safe
operation of transmission-lines.