Power distribution equipment safety state evaluation method and system

The invention provides a power distribution equipment safety state assessment method and system, and belongs to the technical field of power distribution equipment detection and assessment. Historical data and a machine learning technology are integrated to construct a fault prediction model, so that weight division and dynamic adjustment of detection frequency can be conveniently performed according to a predicted fault risk of equipment; maintenance resources can be more reasonably distributed to the most concerned equipment, the reliability and the maintenance efficiency of power supply are remarkably improved, the operation and maintenance cost is reduced, high-risk equipment is checked and maintained in time through an intelligent risk assessment and monitoring strategy, the maintenance efficiency and the cost effectiveness are improved, and the maintenance cost is reduced. Potential safety hazards can be found in time, and the probability of accidents is reduced. 本发明提供一种配电设备安全状态评估方法及系统，属于配电设备检测评估技术领域，本发