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Coal Longwall System Smart Health Diagnosis System
煤矿综采系统智能健康诊断与瓶颈定位系统
Dedicated to solving technical bottlenecks in longwall system operation, this system evaluates overall system health by fusing real-time data from shearers, hydraulic supports, and conveyors, precisely locating key bottleneck constraints.
能源矿业数字化煤矿综采系统智能健康诊断与瓶颈定位系统
Install Command
npx openclaw skills install industry-coal-longwall-system-smart-health-diagnosisVersion
1.0.0
Author
shuzhihui
Updated
Thu May 28 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Source
ClawHub →Features
- **综采设备健康度建模**: 基于综采设备振动、温度、压力、电流等多维传感器数据,建立设备健康评估模型,输出各设备当前健康状态评分和剩余寿命预测
- **系统瓶颈智能定位**: 通过分析采掘工序节拍、设备协同效率、故障停机关联性,识别影响综采系统产能释放的关键瓶颈设备或工序环节
- **技术瓶颈根因分析**: 针对识别出的技术瓶颈,结合专家知识库和历史故障案例,自动分析根本原因并生成诊断报告
- **常态化运行优化建议**: 综合设备健康状态和系统瓶颈分析,输出综采系统稳产高产的具体参数调整和维护计划建议
Use Cases
Installation
npx openclaw skills install industry-coal-longwall-system-smart-health-diagnosis
Usage Examples
`分析当前综采面液压支架群健康度并定位主要瓶颈设备`
`诊断采煤机截割效率下降的根本原因并输出改善建议`
`对比3号综采面与5号综采面的系统健康度差异及原因`