煤矿井下同步运行着通信、传感、控制等大小上百个子系统，形成了越来越复杂的智能化巨系统。针对整个矿井智能化巨系统缺乏统一数据模型、传感器数据不完备、跨系统数据融合等难题，提出统一的多源异构数据融合处理方法——基于“分级抽取-关联分析-虚实映射”的数据逻辑模型，构建了完整的煤矿井下跨系统全时空信息数字感知体系，形成集井下现场生产状态、采掘空间信息、煤机装备状态、风险信息等多参量、多尺度、全时空特性的数据感知方案；基于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、推送策略与自动更新机制，解决数据实时连接及迭代更新难题；提出基于“ABCD”（即人工智能（Artificial Intelligence）、区块链（Blockchain）、云计算（Cloud computing）、大数据（Big Data））的智能化煤矿系统耦合技术，以煤矿安全保障系统耦合为例阐述了复杂巨系统数据交互、融合过程；建立了智能化煤矿数据标准体系；给出了煤矿复杂巨系统的统一数据模型及决策机制的理论和方法，建立了满足多目标决策下的智能化煤矿系统安全、高效、稳定运行体系。相关技术在陕煤张家峁煤矿应用，突破了多源异构系统的一体化集成技术，建成了全矿井跨域融合智能综合管控平台，构建了全时空信息感知及实时互联机制，打通多系统、多层面、多部门的业务数据壁垒，实现全矿井58个在用子系统和34个新建子系统的数据融合和运行决策优化。

Hundreds of subsystems,such as communication,sensing and control,run synchronously,and form an increasingly complex intelligent giant system in a underground coal mine. Aiming at the problems of lacking of a unified data model,incomplete sensor data and cross system data fusion in the entire mine intelligent giant system,a unified multi source heterogeneous data fusion processing method is proposed. A complete digital perception system of cross system full time and space information in underground coal mines has been developed based on the data logic model of “hierarchical extraction association analysis virtual real mapping”,which forms a multi parameter,multi scale,and full time space characteristic data perception scheme that integrates underground production status,mining space information,coal machine equipment status,risk information,etc. Based on the information “entity” and virtual real mapping mechanism of multi source heterogeneous relational data in coal mines,the initiative matching,push strategy and automatic update mechanism of information entities based on the knowledge demand model is proposed to solve the problem of real time data connection and iterative update. The coupling technology of intelligent coal mine system based on ABCD (Artificial Intelligence,Blockchain,Cloud computing and Big Data) is proposed,and the data interaction and fusion process of complex giant system is illustrated taking the coupling of coal mine safety assurance system as an example. A smart coal mine data standard system is established. This paper presents the theory and method of unified data model and decision mechanism of the complex giant system of a coal mine,and establishes the safe,efficient and stable operation system of the smart coal mine system under the multi objective decision making. Relevant technologies were applied in the Zhangjiamao Coal Mine of Shaanxi Coal,China,which broken through the integration technology of multiple heterogeneous systems. A full mine cross domain integrated smart comprehensive management and control platform was built,and a full time and spatial information digital perception and real time interconnection mechanism was constructed to open up business data barriers among multiple levels,multiple departments,multiple systems,which achieve the data integration and decision making optimization of 58 in use subsystems and 34 newly built subsystems in the entire mine.

1 智能化煤矿巨系统数据逻辑模型

   1.1 分级抽取

   1.2 关联分析

   1.3 虚实映射

2 井下跨系统全时空信息数字感知及实时互联机制

   2.1 煤矿井下跨系统全时空信息感知内涵

   2.2 多参量信息感知

   2.3 感知数据结构

   2.4 多网协同传输

   2.5 数据跨系统边缘共享与汇集

   2.6 感知数据深度融合

   2.7 数据匹配推送策略

3 基于“ABCD”技术的智能化煤矿系统耦合

   3.1 人工智能技术

   3.2 云计算技术

   3.3 区块链技术

   3.4 大数据技术

   3.5 煤矿系统安全

4 智能化煤矿数据标准体系

   4.1 智能化煤矿数据治理管理体系

   4.2 智能化煤矿数据标准体系

5 煤矿智能化巨系统耦合工程应用实践

6 结论