AI application
Haifang Technology AI Inspection System for Substations
1、Overview
This solution enhances the inspection efficiency and safety of substation equipment through intelligent technologies. By leveraging advanced image recognition and sensor technologies, it enables real-time monitoring and early warning of equipment status. The automated inspection process reduces manual intervention, increases inspection frequency and coverage, and ensures the safe operation of substations.
2、Implementation Approach
- The system integrates multiple AI technologies, including object detection, semantic segmentation, and image processing:
- Object detection identifies equipment locations in images, while semantic segmentation determines equipment categories.
- The system processes images to recognize equipment status or readings. A data analysis module evaluates recorded data and triggers alerts for anomalies.
- The AI algorithms achieve inference times of under 1 second per image and deliver 30–55 FPS on high-performance GPUs, ensuring real-time efficiency.
3、Objectives
- Enable 24/7, high-frequency inspections to improve equipment safety and operational efficiency.
- Reduce risks and costs of manual inspections while boosting accuracy.
- Experimental results:
- 99.3% accuracy in arrester digital meter recognition.
- 99.9% accuracy in signal light status identification.
- 87.3% mAP(0.5) for intrusion detection.
