Electrical equipment in China’s hot and humid coastal region has been in the harsh environment of high temperature, high humidity and salt spray for a long time, which accelerates the corrosion of equipment contamination, shortens the life span, and decreases the insulation performance, and seriously threatens the safe operation of the equipment and the safety of people. This paper proposes a health management system for electrical equipment based on multi-objective optimization algorithm for the problem of rapid corrosion decay of electrical equipment in the harsh environment of hot and humid coastal regions. Based on the OSA-CBM architecture, a hierarchical health management system integrating data acquisition, condition detection, health assessment, predictive assessment and decision generation is constructed, and a complete solution including hardware platform and software platform is designed. By establishing a multi-objective dynamic maintenance decision model considering corrosive environmental factors, a balanced optimization of equipment availability and maintenance cost is achieved. Simulation results show that when the optimal reliability threshold is 0.65, the maintenance cost rate is as low as 1.663; the maintenance time interval under the multi-objective dynamic decision-making model decreases from 3320 to 2252 with the growth of the service age cycle, reflecting the accelerated deterioration trend of the health state of electrical equipment. System performance tests show that the response time of the login module is as expected in the range of 250-400 concurrent users, and the transaction success rate is maintained at 100%. This study provides an effective solution for the health management of electrical equipment in corrosive environments, optimizes preventive maintenance strategies, and improves equipment reliability and economy.
