Designed specifically for high-altitude, high-risk, and complex operational environments, this system offers a fully automated, intelligent inspection solution that integrates AI-based visual algorithms with intelligent flight control technology. It replaces manual labor for safety inspections of various industrial assets, fundamentally mitigating safety risks associated with manual operations while significantly boosting inspection efficiency and the level of intelligent operations and maintenance. The system is adaptable to complex conditions across diverse sectors—including metallurgy, mining, chemicals, electric power, and heavy industry—and supports a wide range of core application scenarios.
Proprietary AI Visual Recognition for Accurate Hazard Assessment
The system utilizes an enterprise-developed, industrial-grade AI recognition model (a specialized SPD model for mobile inspection) trained specifically for industrial equipment inspection scenarios. It automatically identifies various common equipment safety hazards—such as loose bolts, wire rope wear or breakage, track deformation, and limit switch anomalies—with high accuracy, effectively eliminating the risks of missed detections or false positives associated with manual inspections.
Enabling fully autonomous, intelligent flight with comprehensive, 360-degree inspection coverage, the system supports fully automated operations along preset flight paths. The drone autonomously executes the entire workflow—including takeoff and landing, route cruising, targeted imaging, and detailed inspection—to capture images and monitor the operational status of large-scale industrial equipment (such as vehicles, cranes, blast furnaces, industrial piping, and conveyor belts) without blind spots, effectively meeting the requirements for comprehensive inspections.
Significantly boosts operational efficiency, making it ideal for large-scale inspections.
Enables unmanned, safe operations, eliminating risks associated with high-hazard tasks.
The system offers a distinct efficiency advantage over traditional manual inspection methods. While a manual inspection of a single overhead crane typically takes 1–2 hours, this drone-based system reduces the time to just 10–15 minutes; this effectively shortens inspection cycles and meets the needs of enterprises requiring routine, large-scale equipment inspections.
It fully replaces manual inspection methods that require personnel to climb to heights or enter hazardous areas—such as those involving high temperatures, elevated locations, or complex steel structures—thereby achieving a completely unmanned process for high-risk inspections. This fundamentally eliminates safety hazards associated with manual climbing and high-risk work, reinforcing the enterprise’s safety defenses.
Integrating data across the entire operational scope enables closed-loop management of safety hazards. Images, inspection data, and hazard findings captured during inspections are transmitted in real-time to a central processing system and a visual quality-control dashboard, automating tasks such as data aggregation, hazard tagging, and anomaly alerts. Furthermore, the system integrates with various enterprise management platforms to facilitate end-to-end closed-loop management—covering hazard detection, early warning, rectification, and verification. In essence, the system overcomes the limitations of traditional manual inspections by utilizing unmanned, intelligent equipment to address the challenges of high-altitude and high-risk operations, while leveraging digital closed-loop management to streamline the entire equipment O&M chain. It effectively meets the needs for routine, large-scale inspections in heavy industries—such as metallurgy, mining, chemicals, and power generation—safeguarding enterprise production through intelligent technology and ushering industrial safety O&M into a new, intelligent era.
