Intelligent Mining Equipment Health Management and Predictive Maintenance System
智能工作面综采设备健康管理及预测性维护系统
Addressing the challenge of 'technology without skill' for coal mining equipment, this system constructs health status evaluation models and life prediction engines for core equipment like shearers, hydraulic supports and scraper conveyors, enabling the transition from reactive repair to predictive maintenance and ensuring normal operation of fully mechanized mining system
npx openclaw skills install industry-coal-intelligent-mining-equipment-health-managementFeatures
- **综采设备健康状态实时评价**: 整合设备振动、压力、温度、电流等多维传感器数据，建立采煤机截割部、液压支架推移千斤顶等关键部件的健康指数，实时可视化展示设备健康状态
- **故障根因智能诊断**: 基于知识图谱和专家规则库，当设备参数异常时自动匹配故障模式，给出可能原因和置信度，辅助维修人员快速定位故障点
- **剩余寿命预测与维护预警**: 运用时序预测模型估算关键部件剩余使用寿命，当剩余寿命低于阈值时自动生成预警工单，推送给相关维护人员
- **综采系统协同健康分析**: 分析采煤机、液压支架、刮板输送机之间的运行协同关系，识别因参数不匹配导致的隐性故障，提升系统整体运行稳定性
- **维护决策智能推荐**: 根据设备健康状态和生产计划，智能推荐最佳维护时机和维护方案，平衡设备可靠性和生产连续性
Use Cases
Installation
npx openclaw skills install industry-coal-intelligent-mining-equipment-health-management
Usage Examples
`查询当前工作面所有综采设备的健康状态评分`
`分析采煤机最近7天的振动数据，预测截割部剩余使用寿命`
`根据液压支架压力数据异常记录，诊断可能的故障原因`