Intelligent Hoist Monitoring Solution_Shenzhen Qianhai IntelliUnion Technology Development Co., Lt

Intelligent Hoist Monitoring Solution

Mine hoisting systems connect underground workings and the surface, transporting people, ore, equipment and materials. Their efficiency affects mine-wide capacity, while safety is critical to miners' lives and mine viability. Hoists operate under heavy loads, vibration and frequent starts/stops in dusty, humid, electromagnetically noisy environments with strict explosion-protection requirements. The intelligent hoist monitoring system provides comprehensive condition monitoring and safety protection for main- and auxiliary-shaft hoists, integrating IoT sensing, big-data analytics and AI diagnosis.

Monitoring Challenges

Enormous Safety Pressure

The hoisting system is a critical mine passage. Failures threaten lives and production, with brake failure, overwinding/overlowering and rope breakage having extremely severe consequences.

Frequent, Hidden Mechanical Faults

Main shafts, reducers and head sheaves endure alternating loads. Fatigue damage is hard to detect, and early bearing wear, gear pitting and shaft misalignment have subtle signs.

Inefficient O&M

Complex structures, height and concealed components make inspections difficult and labor-intensive. Gas, dust and other underground hazards expose inspectors to significant risks.

Imprecise O&M Practices

Scheduled maintenance often ignores actual condition, causing both over- and under-maintenance, wasting spares, labor and oil. Escalating faults sharply increase repair costs and O&M burdens.

Product Advantages

Comprehensive Monitoring

Multi-sensor fusion, coordinated edge/cloud intelligence, digital twins and predictive simulation improve monitoring precision, warning accuracy and reliability.

Intelligent Early Warning and Diagnosis

Self-learning alarms adapt to baselines and distinguish normal fluctuations from faults, substantially reducing false alarms. Real-time analysis supports warning, localization and deterioration assessment to enable predictive maintenance.

Remote Monitoring

Real-time data is transmitted via 5G/industrial ring networks to the surface control center, allowing managers to view hoist condition and warnings without frequent underground inspections.