Research on Power Supply Chain Security Risk Monitoring based on Particle Swarm Optimization

Risk monitoring is the main content of supply chain security, but in the process of power management, the supply situation and supply content will affect the monitoring results and reduce the accuracy of risk monitoring. Based on this, this paper proposes a particle swarm optimization method to analyze the risk monitoring information, improve the level of supply chain security monitoring, and shorten the time for formulating risk monitoring portfolios. Then, make a comprehensive judgment on the supply chain data. Finally, the risk monitoring information is analyzed by particle randomization, and the final monitoring results are output. The results show that the particle swarm optimization method can accurately carry out risk monitoring information and improve the level of risk monitoring information, and the accuracy is greater than 95%, which is better than the manual detection method. Therefore, the particle swarm optimization method can meet the requirements of risk monitoring information and is suitable for dynamic analysis of supply chain security.