<p>To realize the state evaluation and risk classification of distribution network equipment groups, measurement data from both the equipment and user ends are extracted. A risk evaluation model based on five-element connection number is established to distinguish between normal and abnormal states. This enables the evaluation and situational awareness of the operational state of equipment groups. Using the information of distribution network equipment as the constraint index parameter, the equipment is grouped, and a set of equipment evaluation indices is formulated. Based on the physical properties, power network topology, and application scenarios of distribution network equipment, the equipment groups are divided. Subsequently, a comprehensive evaluation model is established to monitor and control the operational risks of different equipment groups in the distribution network. Based on the evaluation results of equipment group status, the health status of equipment is assessed. The five-element connection number method from set pair analysis is used to evaluate the state of distribution network equipment group. The simulation results demonstrate that this method has strong dynamic monitoring and evaluation capabilities for the state assessment of distribution network equipment groups. It also enables the screening and problem localization of high-risk equipment within these groups.</p>