With the rapid development of coal mining production in recent years, the limitations of existing intelligent supervision systems have become increasingly evident.
Conventional monitoring approaches face several problems: lagging safety monitoring, limited intelligent supervision that can observe but not act, and unstable underground network transmission. Insufficient bandwidth and frequent disconnections often lead to a lack of effective production safety supervision and increased operational risks.
Given the high-risk underground environment, coal mines require explosion-proof monitoring products that can ensure continuous safety control even under harsh conditions. Network interruptions, humidity, and explosive gases demand AI-enabled explosion-proof cameras capable of independent operation and real-time analysis directly at the source.
In response to these challenges, Jinan HIKWIFI, leveraging years of expertise in explosion-proof cameras and industrial monitoring systems, has developed a front-end AI intelligent identification and control system designed specifically for key hazardous scenarios in coal mines.
This system integrates explosion-proof camera hardware with AI-driven analytics, achieving intelligent identification, decision-making, and automatic control directly at the front end.
Considering the complexity of underground mining environments, multiple types of explosion-proof cameras have been developed, each serving specific needs:
- Explosion-proof dome cameras for wide-area surveillance.
- Explosion-proof bullet cameras for fixed-point monitoring in key zones.
- Thermal explosion-proof cameras for temperature and gas leak detection.
These devices meet high protection standards such as IP68 and EX d IIC T6 Gb, ensuring safe operation in flammable and explosive environments.
The system employs an integrated AI explosion-proof control unit capable of independent analysis and decision-making. Even when communication with the surface network is lost, real-time monitoring and control of underground personnel and equipment remain uninterrupted.
This architecture ensures low-latency AI analysis, autonomous operation during network interruptions, and seamless coordination between edge and cloud layers. The result is a unified system that links front-end identification with back-end control.
By analyzing personnel behavior, equipment operations, and hazardous movements, the system can automatically trigger alarms or execute emergency control commands, preventing accidents before they occur.
Jinan HIKWIFI provides three levels of customization for coal mining enterprises:
- Tailored system solutions designed for each client’s production structure.
- Customized camera deployment plans optimized for every underground environment.
- Adaptive AI algorithm models fine-tuned for each video stream to identify unique safety patterns.
These customized explosion-proof intelligent monitoring solutions provide coal mines with advanced tools to build safer, smarter, and more efficient operations.
The system offers several key advantages:
- Comprehensive safety coverage across critical underground zones.
- Stable operation even under poor network conditions.
- Real-time AI analysis and decision-making at the edge.
- Full compliance with explosion-proof certification standards.
- Scalable, modular design adaptable to various mine layouts.
This platform is not merely a monitoring tool — it is a complete explosion-proof intelligent supervision system that helps coal mining enterprises achieve digital, intelligent, and proactive safety management.
The AI Explosion-Proof Intelligent Monitoring System developed by Jinan HIKWIFI represents a major step toward modernizing coal mine safety supervision. By combining AI analytics, edge computing, and explosion-proof camera technology, it delivers uninterrupted, proactive, and intelligent safety control in the harshest underground environments.
Through continuous innovation and customized development, Jinan HIKWIFI continues to empower the coal mining industry’s journey toward intelligent, safe, and efficient production.
AI Intelligent Detection Model Scenarios
To enhance precision in coal mine safety supervision, Jinan HIKWIFI integrates over 27 types of AI intelligent detection models across different operational scenes. These models provide automated perception, identification, and alerting functions for diverse coal mining scenarios, ensuring real-time safety awareness and risk prevention.
Personnel Safety Detection:
AI algorithms monitor unauthorized behaviors such as crossing conveyor belts, riding on moving belts, and overcrowding. They also track compliance with operational procedures to prevent human-related accidents.
Working Face and Drilling Area Detection:
In complex environments such as longwall faces and drilling areas, the system detects support frame movements, coal block sizes, leakage points, and conveyor misalignment. It automatically recognizes coal pile buildup or foreign objects to prevent equipment blockage and reduce downtime.
Vehicle and Transport Detection:
AI explosion-proof cameras monitor underground vehicle operations, identifying illegal pedestrian entry, vehicle overloading, tunnel occupation, over-hoisting, and abnormal parking. These features ensure safe coordination between personnel and machinery.
Belt Conveyor Monitoring:
Dedicated AI models analyze belt conditions in real time — detecting large coal blocks, longitudinal tearing, coal flow changes, belt deviation, and foreign object intrusion. Abnormal vibration or blockage is immediately reported to prevent mechanical failures.
Electronic Fence and Hazard Zone Management:
The system establishes intelligent electronic boundaries around key zones such as headings, conveyor heads and tails, coal bunkers, and sealed walls. Any unauthorized entry triggers instant alerts to the control center.
Additional Intelligent Detection:
Advanced modules monitor tail rope winding, winch area obstacles, monorail operation status, and temperature or smoke anomalies for early fire warnings.
Through these AI-driven explosion-proof monitoring models, Jinan HIKWIFI ensures all aspects of coal mine safety — personnel, equipment, and environmental conditions — are intelligently supervised and dynamically controlled.
This comprehensive solution empowers coal mining enterprises to transition from passive surveillance to active, intelligent risk prevention, making Jinan HIKWIFI a trusted global partner in explosion-proof monitoring and AI-based industrial safety innovation.
AI Intelligent Detection Model Scenarios
To enhance precision in coal mine safety supervision, Jinan HIKWIFI integrates over 27 types of AI intelligent detection models across different operational scenes. These models provide automated perception, identification, and alerting functions for diverse coal mining scenarios, ensuring real-time safety awareness and risk prevention.
Personnel Safety Detection:
AI algorithms monitor unauthorized behaviors such as crossing conveyor belts, riding on moving belts, and overcrowding. They also track compliance with operational procedures to prevent human-related accidents.
Working Face and Drilling Area Detection:
In complex environments such as longwall faces and drilling areas, the system detects support frame movements, coal block sizes, leakage points, and conveyor misalignment. It automatically recognizes coal pile buildup or foreign objects to prevent equipment blockage and reduce downtime.
Vehicle and Transport Detection:
AI explosion-proof cameras monitor underground vehicle operations, identifying illegal pedestrian entry, vehicle overloading, tunnel occupation, over-hoisting, and abnormal parking. These features ensure safe coordination between personnel and machinery.
Belt Conveyor Monitoring:
Dedicated AI models analyze belt conditions in real time — detecting large coal blocks, longitudinal tearing, coal flow changes, belt deviation, and foreign object intrusion. Abnormal vibration or blockage is immediately reported to prevent mechanical failures.
Electronic Fence and Hazard Zone Management:
The system establishes intelligent electronic boundaries around key zones such as headings, conveyor heads and tails, coal bunkers, and sealed walls. Any unauthorized entry triggers instant alerts to the control center.
Additional Intelligent Detection:
Advanced modules monitor tail rope winding, winch area obstacles, monorail operation status, and temperature or smoke anomalies for early fire warnings.
Through these AI-driven explosion-proof monitoring models, Jinan HIKWIFI ensures all aspects of coal mine safety — personnel, equipment, and environmental conditions — are intelligently supervised and dynamically controlled.
This comprehensive solution empowers coal mining enterprises to transition from passive surveillance to active, intelligent risk prevention, making Jinan HIKWIFI a trusted global partner in explosion-proof monitoring and AI-based industrial safety innovation.