工业互联网是工业系统与新一代信息通信系统深度融合的新型应用模式，是新基建的重要组成部分和促进两化融合的抓手。为推进煤矿智能化改造和升级，探索通过煤炭工业互联网平台的建设，充分利用物联网、大数据、人工智能等先进技术手段，对煤矿企业生产各环节产生的数据进行采集、存储、加工处理和分析利用，打通信息和系统孤岛，实现数据融合和共享，为安全高效生产提供分析和决策支持。首先基于工业互联网产业联盟发布的工业互联网平台整体框架，结合业界应用实践，围绕煤炭行业特殊应用场景，研究适合于矿井的工业互联网平台解决方案。同时通过分析研究煤炭行业业务数据特征，根据不同层级工业互联网平台的定位，尝试给出了工业互联网平台在煤炭行业落地部署时矿井级、集团级、行业级等不同层次工业互联网平台的功能和协同关系。然后进一步深入设计了一种适用于矿井的云边端一体工业互联网平台技术方案，满足矿井智能化生产过程管控需求，并重点对工业互联网平台的核心支撑大数据平台技术体系进行研究，以数据为导向，设计了大数据平台整体功能架构和技术架构。针对大数据平台的核心技术组件选型，搭建试验环境，利用在某矿井综采工作面实际采集的数据进行试验验证，证明整体架构和技术路线可行，大数据平台的数据存储、访问、计算等关键性能指标符合预期。

Industrial Internet is a new application model of the deep integration of industrial system and the new generation ICT. It is an essential part of new infrastructure and the basic upholder for convergence of informatization with industrialization. To promote intelligent mine,through building the industrial internet platform,we explore the usage of IoT,Bigdata and AI in coal enterprise production data collection,storage,processing and analyzation,eliminate information and system silos,realize data integration and sharing,and provide analyzation and decision support for coal mine safety and productivity. Based on the Industrial Internet Platform Framework released by the Alliance of Industrial Internet,combined with the industry application practice,aiming at the special application scenario of the coal industry,we explore and propose the industrial Internet platform solution suitable for the mine. By analyzing and studying the business data characteristics of coal industry,a technical architecture of Client-Edge-Cloud hierarchical industrial Internet platform suitable for mine is designed to meet the management and control requirements of mine intelligent production process. It focuses on the in-depth study of the technical system of big data platform,which is the core support of the industrialInternet platform,and designs the data oriented overall functional architecture and technical architecture of the big data platform. According to the key technology components selection of big data platform,the experimental environment is built,and the actual data collected in a coal mine comprehensive mining face is used for experimental verification,which proves that the overall architecture and technical route are feasible,and data storage,computing and access performance of bigdata platform is as expected.