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The intelligent inspection system of BangQi relies on core technologies such as the Internet of Things (IoT), artificial intelligence (AI), automation control, and big data analysis to create intelligent inspection solutions for multiple scenarios such as parks, factories, warehouses, and energy stations. The system integrates various sensing methods such as intelligent inspection robots, AI visual analysis, infrared temperature measurement, acoustic detection, gas sensors, etc., breaking the limitations of traditional manual inspection and achieving all-weather, all scene, and fully autonomous intelligent inspection operations.
The system, through automatic path planning, intelligent recognition analysis, real-time warning push, and task closed-loop management, can not only significantly improve the frequency and coverage of inspections, but also accurately detect safety hazards, equipment abnormalities, environmental problems, etc., providing enterprises with a closed-loop inspection system of "automatic problem discovery+intelligent problem handling+scientific problem prevention".
Key Highlights
Fully automated, unmanned inspection
Leveraging SLAM-based autonomous navigation and obstacle-avoidance technology, the intelligent inspection robot can independently plan routes and automatically perform tasks such as inspections, photo capture, video recording, and data collection—effectively replacing traditional manual inspections while operating continuously around the clock, 24/7.
Multidimensional Perception and Anomaly Detection
By integrating multi-sensor technologies such as high-definition cameras, thermal imaging, infrared temperature measurement, gas sensors, and environmental monitoring modules, the system achieves real-time, multi-dimensional detection of anomalies—including abnormal temperatures, smoke, flames, liquid leaks, noise, and vibrations.
AI-powered Intelligent Analysis and Early Warning
Leveraging the Pangqi AI algorithm and big data models, the system can automatically analyze equipment operating conditions and environmental safety metrics, promptly delivering risk alerts while also generating inspection reports on the spot—enabling proactive fault prediction.
Cloud-Edge Collaboration and Remote Management
By integrating edge computing with cloud platforms, it supports remote inspection and centralized management across multiple campuses, factory sites, and warehouses. Inspection data is uploaded in real time, enabling remote visualized operations and scheduling.
End-to-end task management
The system automatically records the inspection process and results, integrating with task management and work order systems to enable closed-loop management of the entire workflow—covering task assignment, execution, feedback, corrective actions, and final review.
Industry Applications
New Energy and Energy Storage Industry
Focus inspections on high-risk areas such as the battery workshop, energy storage room, distribution room, and chemical warehouse.
3PL and Logistics Parks
Conduct environmental monitoring and equipment inspections for storage areas, cold-chain warehouses, hazardous-materials warehouses, outdoor storage yards, and more.
Automotive/Motor Vehicle Parts Manufacturing Plant
Meeting inspection needs across production workshops such as welding, painting, stamping, and final assembly, as well as facility areas like distribution rooms and pipe shafts.
Pharmaceutical and Food Park
Focusing on temperature, humidity, gas leakage, and safety hazard detection in the cold chain area, hazardous materials area, and storage area.
Industrial Park vs. Smart Park
Comprehensive inspection of public facilities, security systems, parking areas, roads, fire equipment, energy stations, and more within the park.
Customer Case
A Safety Behavior Monitoring and Retrofit Project for a 3PL Logistics Park
Application results: Nighttime inspection efficiency increased by 100%, labor costs decreased by 70%, and unauthorized behaviors in the operational area were significantly reduced.
Application results: Nighttime inspection efficiency increased by 100%, labor costs decreased by 70%, and违规 behaviors in the operational area were significantly reduced.
A Leading New Energy Company's Intelligent Safety Behavior Monitoring Project
Deployment details: AI monitoring + smart access control + safety behavior alerts, covering high-risk production lines and warehouse areas.
Application results: Safety incident early warning efficiency improved by 80%, non-compliant operations decreased by 70%, and accident rates dropped by 95%.
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