针对数字矿山向智慧矿山发展过程中信息关联层次不清晰、框架结构不完善、缺少智能决 策依据及有效控制方法的问题,提出了智慧煤矿信息逻辑模型,基于本体和语义网技术建立了煤矿 多源、异构关系数据的信息“实体”和虚实映射机理,提出基于知识需求模型的信息实体主动匹配 与推送策略,构建基于开采行为预测推理的智慧逻辑模型进化机制,形成了层级清晰、结构明确、全 面覆盖的智慧煤矿信息模型;构建了综采设备群空间位姿关系模型,提出了考虑随机误差的强耦合 设备群空间坐标统一描述及各设备关联坐标系转换方法,建立了多参量融合分析和评估的开采环 境—生产系统耦合关系模型,为煤矿装备位姿控制及智能决策提供支撑;给出了时变多因素影响下 的开采设备群全局最优规划和分布式协同控制方法。 将综采设备群全局最优规划归结为一个二次 积分模型的燃料最优规划问题,提出了基于多模态控制的综采设备群全局最优推进路径规划及控 制策略,可兼顾开采条件、设备能力、工艺流程及能量消耗,确保生产成本、效率的有效改善。 给出 了同时考虑环境干扰和传感器数据时延特性的液压支架群组分布式协同控制方法。 上述基础架构 和数学模型为深层次挖掘智慧煤矿海量信息之间的关联关系、解决大数据环境下开采系统的最优 化协同控制、实现复杂地质条件下连续稳定开采提供了基础理论支撑,可有效推动智慧煤矿技术的 发展。

An information logic model for intelligent coal mine is proposed in this paper,aiming at the problem of un-clear information association,imperfect framework structure,lack of intelligent decision-making basis and effective con-trol method in the development process of digitalization to intelligentization. First of all,a kind of clear hierarchical well-organized and comprehensive information model for intelligent coal mine is established,where the information en-tity and virtual-real mapping mechanism of multi-source heterogeneous relational data based on ontology and semantic web technology,the active matching and pushing strategy of information entities based on knowledge demand model, and the evolutionary mechanism of intelligent logic model based on mining behavior prediction reasoning are proposed.Then,coal mine equipment position control and intelligent decision are provided on the basis of the construction of spatial position and attitude relationship model of fully mechanized mining equipment group,the proposal of unified de-scription of spatial coordinates of the strongly coupled equipment group considering random errors and transformation method of correlation coordinate system for different equipment,and the establishment of multi-parameter fusion analy-sis and evaluation of mining environment-production system coupling relationship model. Finally,the global optimal planning and distributed collaborative control method for fully mechanized mining equipment group under the influence of time-varying and multiple factors are given,where the global optimal planning is summed up in a fuel optimal plan-ning problem of a quadratic integral model,and the global optimal propulsion path planning and control strategy is pro-posed based on multi-modal control,which can consider mining conditions,equipment capacity,process flow and ener-gy consumption,and ensure an effective improvement of production cost and efficiency. Besides,a distributed coopera-tive control method for hydraulic support groups considering both environmental disturbance and sensor data delay characteristics is presented. The above-mentioned infrastructure and mathematical models provide a basic theoretical support for deep-separating the relationship among the massive information of intelligent coal mines,solving the optimal coordinated control of mining systems in large data environments,and achieving continuous and stable mining under complicated geological conditions,which can promote the development of smart coal mine technology effectively.