智能矿山平台建设与实现

Construction and implementation of platform for intelligent mine

  • 摘要: 针对现阶段数字化矿山建设中存在矿井基础参数采集内容少、集成数据综合利用价值低、数据应用分析比较单一等问题,探讨了智能矿山平台的内涵,提出了智能矿山平台设计架构,详细介绍了平台实现的关键技术。该平台利用感知技术及高可靠性的现场控制技术,可实现对作业现场环境、人员、设备的全方位感知及物联控制,对矿山整体生产过程实现智能监控;利用大数据处理技术构建统一的数据运维层,可实现矿山主数据、实时监测监控数据、地理地测数据、运营管理数据等的统一管理、利用,提高数据利用率;利用大数据及深度学习技术将采集、录入及抽取的数据进行汇总、分类处理,实现数据的综合利用,提升矿山管控能力。

     

    Abstract: In view of problems of small anount of acquisition of basic parameter, low value of comprehensive utilization of integrated data, single data applications and analysis existed in construction of current digital mine, content of intelligent mine platform was discussed, architecture design of the intelligent mine platform was put forward, key technologies in the platform implementation was introduced.The platform uses perception technology and high reliability control technology to realize omni-directional perception and Internet of thngs control for environment, staff, equipment, and intelligent monitoring for overall production process; uses big data processing technology to build a unified data operation and maintenance layer, and can realize unified management, utilization of mine master data, real-time monitoring data, geographic measurement data, operation management data, and improve utilization rate of the data; uses big data and deep learning technology to gather and classify collected, input and extracted data, which realizes comprehensive utilization of the data, and improves capacity of mine control and management.

     

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