Key Technology Development and Industry Application Practice of Intelligent Mine Hoists

2025-04-03 17:10:57

In deep shaft mining operations, mine hoists undertake the core tasks of personnel, material, and ore transportation. With the penetration of new technologies such as digital twins and edge computing, hoist systems are undergoing intelligent reconstruction of the entire "perception-decision-execution" chain. This article analyzes innovative application scenarios of intelligent hoists based on industry cutting-edge technologies.

I. Digital Twin-Driven Full Lifecycle Management

The 3D visualization platform built on BIM modeling technology can real-time map hoist operating status. By collecting 48 types of dynamic data including main shaft torque (accuracy ±1.5%) and wire rope swing amplitude (monitoring resolution 0.1°), a digital equipment archive is established. Application cases in a South African gold mine show this technology improves fault diagnosis efficiency by 70% and optimizes spare parts inventory turnover by 45%.

II. Breakthroughs in Edge Computing for Safety Monitoring

Deploying edge computing terminals in shaft control cabinets achieves millisecond-level response to key parameters such as brake temperature (sampling frequency 1000Hz) and hydraulic station pressure fluctuations (detection accuracy 0.01MPa). When wire rope tension exceeds set thresholds, the system can initiate multi-level protection within 50ms, 3 times faster than traditional PLC control.

III. Energy Efficiency Revolution in New Transmission Systems

The planetary gear + permanent magnet motor compound transmission scheme achieves transmission efficiency exceeding 97.2%. In field tests at a 3000m-altitude plateau mine, this technology successfully overcame torque decay caused by air pressure changes, saving 31% more energy than traditional gearbox solutions. The energy feedback unit converts 60% of potential energy into usable electricity during descending operations.

IV. Innovative Application of Intelligent Lubrication Systems

The centralized lubrication system equipped with online oil particle monitoring (identifying particles ≥15μm) dynamically adjusts lubrication cycles through machine learning algorithms. Application data from a Chilean copper mine shows this technology reduces bearing wear rate by 58% and saves annual lubrication costs by 120,000 CNY.

V. Exploration of Customized Service Models

Special hoists developed for inclined roadways (25°-35°) adopt dual brake disc redundancy design and adaptive track correction technology. Application cases in a Mongolian coal mine prove this equipment maintains stable operation at -40℃ extreme temperatures, improving transportation efficiency by 26% year-on-year.