大型煤炭企业总部集成监控系统设计

陈汉章, 王继生, 吴浩

陈汉章,王继生,吴浩.大型煤炭企业总部集成监控系统设计[J].工矿自动化,2018,44(12):89-93.. DOI: 10.13272/j.issn.1671-251x.17359
引用本文: 陈汉章,王继生,吴浩.大型煤炭企业总部集成监控系统设计[J].工矿自动化,2018,44(12):89-93.. DOI: 10.13272/j.issn.1671-251x.17359
CHEN Hanzhang, WANG Jisheng, WU Hao. Design of integrated monitoring system for large coal enterprise headquarters[J]. Journal of Mine Automation, 2018, 44(12): 89-93. DOI: 10.13272/j.issn.1671-251x.17359
Citation: CHEN Hanzhang, WANG Jisheng, WU Hao. Design of integrated monitoring system for large coal enterprise headquarters[J]. Journal of Mine Automation, 2018, 44(12): 89-93. DOI: 10.13272/j.issn.1671-251x.17359

大型煤炭企业总部集成监控系统设计

基金项目: 

国家重点研发计划项目(2016YFC0801800)

详细信息
  • 中图分类号: TD76

Design of integrated monitoring system for large coal enterprise headquarters

  • 摘要: 针对大型煤炭企业下属煤矿数量大、分布跨地域、管理层级多等问题,为了有效提升精细化管理水平,设计了大型煤炭企业总部集成监控系统。采用数据库访问、文件、OPC等方式实现各类异构系统数据采集;采用弦切数据压缩算法对煤矿现场大量原始数据进行压缩处理;基于NoSQL技术建立分布式部署的煤矿实时数据库,实现数据的存储和共享;结合GIS分析展现平台和组态技术,直观展现井下生产环境状况、人员分布情况、设备运行状态等信息,为煤炭企业安全生产调度提供辅助决策支持。实际应用结果表明,该系统实现了整个企业各下属矿井井下、井上各生产区域的安全生产状况实时监测,可满足煤矿数据实时大数据量安全存储共享需求;基于GIS矿图方式进行数据展示与查询,提升了数据的可视化效果和显示效率。
    Abstract: In view of problems of coal mines under large coal enterprises, such as large number, cross-regional distribution and multiple management levels, in order to effectively improve refined management level, an integrated monitoring system for large coal enterprises headquarters was designed. Database access, file, OPC and other means are used to achieve data collection of various heterogeneous systems; the chord tangent data compression algorithm is used to compress a large amount of raw data in coal mine site; the distributed real-time database of coal mines is realized based on NoSQL technology to realize data storage and sharing; information of underground production environment, personnel distribution, equipments operation status are visually displayed based on GIS analysis and display platform and configuration technology, which can provide auxiliary decision support for safety production scheduling of coal enterprise. The practical application results show that the system realizes real-time monitoring of safe production status of production areas of the whole enterprise, which can meet the requirements of safe storage and sharing of large volume of real-time coal mine data; data display and query based on GIS mine map method, and improves data visualization and display efficiency.
  • 期刊类型引用(4)

    1. 杨锦绣,李春贺. 基于人工智能的企业安全智能监控系统研究——以煤炭企业为例. 黑河学院学报. 2021(07): 49-51+73 . 百度学术
    2. 韩子彬,王丽宏. 无线安全监控系统在选煤厂瓦斯监测中的应用. 中国安全科学学报. 2021(S1): 159-164 . 百度学术
    3. 魏超,陈虹洁. GIS系统数据传输质量自动监控和分析. 信息技术. 2020(06): 99-103 . 百度学术
    4. 张平安. 探究煤炭企业管理信息化特点. 当代化工研究. 2019(06): 196-197 . 百度学术

    其他类型引用(1)

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出版历程
  • 刊出日期:  2018-12-09

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