一种智能巡检机器人协同的变电站自主巡检控制方法
By analyzing the equipment condition deterioration through infrared thermal imaging data, inspection priorities are generated and robot paths are negotiated. This solves the problem of high-risk delayed inspections caused by changes in equipment condition within the substation, achieving efficient equipment fault identification and path conflict resolution, and improving the safety and operational stability of substation equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHONGNENG POWER ENG (SHANDONG) CO LTD
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively address sudden high-risk situations caused by equipment oxidation or loosening within substations. Robot clusters may delay inspections when faced with real-time changes in equipment status, leading to increased equipment failure risks. Furthermore, path conflict solutions fail to effectively integrate with real-time equipment status.
By extracting the contact temperature rise rate and phase-to-phase temperature difference divergence rate from infrared thermal imaging time-series data, the degree of equipment condition deterioration is determined, inspection priorities are generated and compensatory inspection tasks are matched, and the robot negotiates path insertion trajectory and resolves path intersection conflicts to ensure that high-risk equipment is prioritized for scheduling.
It enables refined data collection of high-risk equipment with limited robot resources, reduces the risk of equipment failure, ensures that emergency inspection needs are matched with task scheduling, avoids path conflicts and delays, and extends the safe operation cycle of equipment.
Smart Images
Figure CN122401447A_ABST