ARMxy BL370 + smart mining safety: AI fault prediction, gas early warning, UWB positioning. Cuts downtime by 30%-45%, reduces accidents by 60%+.
Case Details
In the mining industry, the reliability of key equipment (mining machines, conveyors) and the safety of underground operations directly affect production efficiency and personnel security. Traditional mining management faces core challenges such as frequent equipment failures, high safety risks for workers, isolated operation data, and slow emergency response. This solution, based on the
ARMxy BL370 industrial-grade embedded computer (1TOPS NPU + anti-interference design + multi-sensor access), builds an intelligent mining safety management system integrating equipment condition monitoring, AI predictive maintenance, personnel positioning, and gas concentration early warning. By adopting a vibration spectrum analysis and multi-dimensional data fusion algorithm, it achieves ±0.1mm/s vibration measurement accuracy and <3s safety alarm response speed. Combined with BLIoTLink, BLRAT, and Node-Red core tools, the solution ultimately reduces equipment downtime by 30%-45%, lowers safety accident rates by over 60%, and realizes full-scene intelligent management of mining operations while complying with coal mine safety regulations.
- Frequent Equipment Failures: Harsh mining environments cause rapid wear of equipment, and traditional preventive maintenance cannot predict potential faults in advance.
- High Personnel Safety Risks: Underground gas leakage, roof collapse, and other hazards are difficult to detect in time, threatening workers' lives.
- Isolated Operation Data: Equipment, personnel, and environmental data are scattered, making it impossible to realize integrated safety management.
- Slow Emergency Response: Manual inspection and on-site disposal of accidents lead to delayed rescue and expanded losses.
The
ARMxy BL370 + Mining Safety Intelligence combination delivers four core values for mining operations:
- Extreme Environment Adaptability: Industrial-grade -40~85℃ wide temperature range, IP30 protection, and anti-electromagnetic interference + anti-dust design, adapting to humid, dusty, and high-interference mining environments.
- AI-Powered Fault Prediction: 1TOPS NPU supports vibration spectrum analysis and fault feature extraction, realizing early warning of equipment failures 72 hours in advance.
- Multi-Dimensional Safety Monitoring: Flexible X/Y IO board configuration supports access to vibration, gas, temperature, and personnel positioning sensors, covering comprehensive safety scenarios.
- Rapid Emergency Linkage: Edge-side real-time data processing + cloud remote command issuance, realizing automatic shutdown of dangerous equipment and personnel evacuation guidance.
Adopting a "cloud-edge-terminal" three-tier collaborative architecture for mining scenarios:
- Terminal Layer: Equipment vibration sensors, gas concentration detectors (methane, carbon monoxide), personnel UWB locators, temperature/humidity sensors, collecting equipment and environmental data.
- Edge Layer: ARMxy BL370 as the underground on-site controller, undertaking data acquisition, AI fault diagnosis, local safety alarm, and data encryption uploading.
- Cloud Layer: Realizing centralized monitoring of mining areas, equipment health evaluation, personnel trajectory tracking, and emergency command scheduling.
- Equipment Fault Prediction: Based on NPU's vibration spectrum analysis and machine learning algorithm, identifying equipment wear, bearing damage, and other faults in advance.
- Multi-Gas Concentration Monitoring: Fusion of multiple gas sensor data, realizing accurate measurement and real-time early warning of toxic and harmful gases.
- UWB Personnel Positioning: Integrating UWB positioning technology to track workers' real-time locations and realize geo-fencing safety alerts.
- Emergency Linkage Control: When dangerous situations occur, automatically linking with mining equipment to shut down operations and guiding personnel to evacuate through underground broadcasting.
- Main Controller: ARMxy BL371B (2×10/100M Ethernet ports, 2 Y-board slots, supports 4G/WiFi expansion)
- Core Board: SOM371 (RK3562J, 4×Cortex-A53, 2GB LPDDR4X, 16GB eMMC, 1TOPS NPU)
- Peripheral Configuration: High-precision vibration sensors, multi-gas detectors, UWB positioning base stations, underground audio alarms, equipment emergency stop controllers
- Expansion Module: Y37 IEPE module (vibration data collection), Y63 RS485 module (connecting underground equipment), Y51 RTD module (equipment temperature monitoring), UWB positioning expansion board
- Precision Fault Prediction: Identifies equipment faults 72 hours in advance, reducing unplanned downtime by 30%-45%.
- Comprehensive Safety Protection: Multi-dimensional monitoring of gas, temperature, and personnel positions, lowering safety accidents by over 60%.
- Harsh Environment Adaptability: Anti-dust, anti-humidity, and anti-interference design, ensuring stable operation in underground mines.
- Compliance with Safety Regulations: Meets national coal mine safety monitoring standards, realizing legal and compliant operation.
This solution is suitable for:
- Underground coal mine equipment monitoring and safety management
- Open-pit mine conveyor and crusher condition monitoring
- Metal mine underground operation safety protection
- Mining area gas and environmental pollution monitoring
- Mine ventilation system intelligent control
The
ARMxy BL370 + Intelligent Mining Equipment Health Monitoring & Safety Early Warning Solution addresses the core pain points of traditional mining management through extreme environment-adapted hardware, AI predictive technology, and multi-dimensional safety integration. The solution not only realizes predictive maintenance of key mining equipment but also builds a comprehensive safety protection network for underground operations through personnel and environmental monitoring. It is an important technical support for mining enterprises to improve production efficiency, ensure personnel safety, and promote intelligent transformation, and a key path to build safe, efficient, and green smart mines.
