Core Insights - The integration of "drone + AI" inspection technology has been fully implemented in Jianghan Oilfield's Fuling Shale Gas Company and Qinghe Oil Production Plant, enhancing inspection efficiency and safety management [1][2] - The AI-enabled drones can conduct inspections at night, eliminating blind spots associated with traditional drone inspections, and achieving a high identification accuracy of 90% for typical hazards [1] - The new system reduces ineffective scheduling costs and improves risk response speed, creating a comprehensive, all-weather intelligent monitoring network [1] Group 1 - The "drone + AI" technology allows for all-weather, high-frequency inspections of 160 kilometers of power lines, over 1,000 kilometers of pipeline, and 30 gas gathering stations, significantly reducing labor intensity [1] - The drones are equipped with high-definition cameras and an "AI brain" that utilizes image analysis to automatically identify hazards such as pipeline exposure, oil leaks, and ground subsidence [1] - The system enhances real-time communication capabilities, meeting the demands for industrial remote monitoring, on-site video streaming, and real-time data transmission [1] Group 2 - Jianghan Oilfield is developing an online closed-loop process for handling anomalies detected by drones, integrating visual data and hazard identification records into their operational management system [2] - The system analyzes the spatial and temporal distribution of hazards, focusing on frequently occurring and highly rated anomalies, enabling intelligent perception and early warning of faults and risks [2] - This creates a comprehensive management loop that includes front-end sensing, intelligent analysis, collaborative handling, and performance evaluation [2]