Online Auxiliary Equipment Monitoring_Shenzhen Qianhai IntelliUnion Technology Development Co., Lt

Online Auxiliary Equipment Monitoring

For underground coal mine belt conveyors, pumps, fans, winches, air compressors and gas drainage pumps, this solution establishes mining-grade intrinsically safe/explosion-proof online monitoring for dusty, humid, vibrating environments. Vibration, temperature, current, oil, speed and level sensing combined with AI diagnosis and cloud/edge coordination enable real-time monitoring, early warnings, unattended operation and predictive O&M, ensuring reliable auxiliaries while reducing staffing, improving efficiency and meeting safety requirements.

Monitoring Challenges

High Risks in Manual Inspection

Long underground routes and complex conditions create blind spots and low inspection frequency, delaying detection and risking shutdowns.

Highly Concealed Faults

Early bearing wear, winding overheating and poor alignment are difficult to detect through routine inspections.

Difficult Troubleshooting

Numerous dispersed auxiliaries make early abnormal noise, overheating and wear difficult to identify, increasing troubleshooting time.

Weak O&M Warning Capability

Without predictive maintenance, repairs rely on experience, with both over- and under-maintenance. Fixed thresholds cannot learn or adapt to changing conditions, causing frequent false and missed alarms.

Product Advantages

Comprehensive Multi-Parameter Monitoring

Covers vibration, temperature, speed, oil, pressure and level to assess motors, bearings, gears, pump bodies and other critical components.

Intelligent Early Fault Warning

AI algorithms accurately identify early wear, unbalance, misalignment, poor lubrication and overheating, providing advance warnings to prevent major shutdowns.

Reduced Staffing, Higher Efficiency and Lower Risk

Remote monitoring and unattended operation reduce underground inspectors, lower personnel risks and improve O&M efficiency.

Data Traceability and Health Assessment

Historical data, fault recordings and O&M reports are traceable. Equipment health models provide deterioration trends and remaining-life recommendations.