Power equipment safe operation method based on inspection robot and inspection robot
By integrating multimodal data fusion and joint reasoning, and combining equipment semantic graphs and physical mechanism graphs, the path and posture of the inspection robot are adjusted, which solves the problem of insufficient single-modal perception, improves the anomaly detection rate and diagnostic interpretation capabilities, and forms a closed-loop operation and maintenance decision-making process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HARBIN INSTITUTE OF TECHNOLOGY (SHENZHEN) (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)
- Filing Date
- 2026-05-22
- Publication Date
- 2026-06-19
AI Technical Summary
Existing technologies suffer from insufficient reliability of single-modal perception, lack of interpretability in diagnostic results, decoupling of robot motion from detection tasks, and disconnect between data acquisition and maintenance decisions, resulting in low anomaly detection rates and slow responses during equipment inspections.
A multimodal data fusion method is adopted. By determining the characteristics and dynamic weights of each modality, and combining the device semantic graph and physical mechanism graph for joint reasoning, the path and posture of the inspection robot are adjusted, re-inspection data is collected, and abnormal event packages are output for adjusting operation and maintenance decisions and inspection strategies.
It improved the anomaly detection rate, enhanced the interpretability of diagnosis and the ability to suppress false alarms, formed a closed loop of anomaly detection, diagnosis, re-examination and output, reduced false alarms and missed detections, and reduced the need for maintenance personnel to visit the site repeatedly and conduct inefficient verification.