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    基于云边协同的煤炭企业智能综合管控平台构建

    Development of an intelligent comprehensive control platform for coal enterprises based on cloud-edge collaboration

    • 摘要: 针对煤矿智能化建设中因安全监控、生产执行、设备管理等多源异构系统并存导致的系统兼容性差、数据孤岛,以及传统集中式平台架构滞后等问题,以宁夏宝丰能源集团股份有限集团(以下简称“宝丰能源”)为研究背景,遵循“四个统一、两级部署、开放共享”的设计原则,构建了基于云边协同的智能综合管控平台。该平台采用“集团云侧−矿井边缘侧”两级部署模式,结合云边协同分层部署、湖仓一体化数据治理、三维GIS时空融合分析及边缘智能感知等关键技术,形成了覆盖生产、安全、资产与管理的全链路智能化流程体系。应用实践表明,平台在宝丰能源及下属矿井的部署过程中,成功构建了全产业链的智能生产与运营体系,显著提升了生产效率与资源配置能力,设备有效作业率提高12%,现场响应时间缩短45%。安全方面实现了隐患的超前预警、快速响应与闭环处置,事故率同比下降40%。

       

      Abstract: To address poor system compatibility, data silos, and the limitations of conventional centralized platform architectures arising from the coexistence of heterogeneous systems for safety monitoring, production execution, and equipment management in intelligent coal mine construction, Ningxia Baofeng Energy Group Co., Ltd. (hereinafter referred to as Baofeng Energy) was selected as the engineering background. Following the design principles of “four unifications, two-level deployment, openness, and sharing,” a comprehensive control platform based on cloud-edge collaboration was developed. The platform adopts a two-level deployment architecture comprising the group-level cloud side and the mine-level edge side. By integrating key technologies, including hierarchical deployment based on cloud-edge collaboration, lakehouse-integrated data governance, spatiotemporal fusion analysis using a GIS-based “one map,” and edge-based intelligent sensing, the platform establishes a full-process intelligent system covering production, safety, assets, and operational management. Engineering applications demonstrate that the deployment of the platform at Baofeng Energy and its affiliated coal mines successfully established an intelligent production and operation system covering the entire industrial chain. Consequently, production efficiency and resource allocation capacity were significantly improved, with the effective equipment operation rate increasing by 12% and on-site response time decreasing by 45%. In terms of safety management, the platform enabled early hazard warning, rapid response, and closed-loop disposal, resulting in a year-on-year reduction of 40% in the accident rate. These results indicate that the proposed platform provides an effective technical framework for integrated data governance and intelligent control in coal mining enterprises.

       

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