Data Visualization⭐ Featured
Coal Mine Intelligent Mining Equipment Health Monitoring System
煤矿智能综采设备健康监测与维护决策系统
Addressing pain points of high maintenance costs and difficult fault prediction in intelligent coal mining faces, providing closed-loop management solutions including vibration spectrum analysis, life prediction, and spare parts inventory optimization.
能源矿业数字化煤矿智能综采设备健康监测与维护决策系统
Install Command
npx openclaw skills install industry-coal-intelligent-mining-equipment-health-systemVersion
1.0.0
Author
shuzhihui
Updated
Sun Apr 26 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Source
ClawHub →Features
- **采煤机液压支架振动频谱实时分析**: 通过部署在综采设备的IoT传感器采集振动信号,系统自动识别轴承磨损、液压系统异常等典型故障模式,预判故障发生趋势
- **设备剩余寿命智能预测**: 基于历史故障数据建立设备健康模型,计算关键部件(摇臂、液压缸、牵引部)的剩余使用寿命,输出精确到天数的更换建议
- **备件库存优化与智能补货**: 根据设备健康状态预测和历史消耗规律,自动计算最优备件库存量,在保障生产连续性的同时降低30%以上库存资金占用
- **上窜下滑控制参数动态调优**: 针对智能化综采工作面特有的上窜下滑问题,系统综合分析顶底板岩性、推进方向、支护参数,自动推荐最优控制参数组合
Use Cases
Installation
npx openclaw skills install industry-coal-intelligent-mining-equipment-health-system
Usage Examples
`查看三号综采面采煤机摇臂当前健康评分及未来30天故障概率预测`
`生成本月需要采购的液压支架密封件清单及推荐补货数量`
`计算调整采高至2.8米后对上窜下滑控制的影响参数`