Emergency Material Supply for Power Enterprises Based on Internet of Things under Short-Term Prediction of Echo State Network

The electric power industry is one of the major national infrastructures. Affected by the geographical environment, weather, sudden natural disasters, cost control, and other factors, and with the improvement of people's living standards and the requirements of large equipment for power supply quality, power supply enterprises put forward higher requirements on how to resist risks before accidents and rapid emergency response after accidents. The establishment of emergency material supply system for power supply enterprises based on the internet of things mode is conducive to the reform of supply side structure and the optimization of resource allocation. At the same time, it is of constructive significance for the development of intelligent and automatic emergency material package management. With the help of the analysis steps of prognostics and health management (PHM), driven by the internet of things of emergency material reserves, and starting from the four structural factors of storage, cost, risk, and technology, the data acquisition, transmission, preprocessing and short-term prediction systems of emergency material packages are established respectively, to improve the operation, maintenance, and management level of power supply enterprises.