中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (9): 158-167.doi: 10.16265/j.cnki.issn1003-3033.2022.09.2817

• 应急技术与管理 • 上一篇    下一篇

矿井智能通风与灾变应急决策平台

魏连江1,2(), 周福宝1, 夏同强1, 王凯1, 蒋合国2, 王健1   

  1. 1 中国矿业大学 城市地下空间火灾防护江苏省高校重点实验室,江苏 徐州 221116
    2 彝良驰宏矿业有限公司,云南 昭通 657000
  • 收稿日期:2022-03-11 修回日期:2022-07-12 出版日期:2022-10-19
  • 作者简介:

    魏连江 (1976—),男,江苏连云港人,博士,副教授,主要从事矿井通风、人工智能在安全工程中的应用等方面的研究。E-mail: 。

    周福宝 教授

    夏同强 副教授

    王凯 教授

    蒋合国 高级工程师

  • 基金资助:
    国家自然科学基金面上项目资助(52074282); 国家自然科学基金面上项目资助(52074278); 中国工程院咨询研究项目(2019-ZCQ-12)

Mine intelligent ventilation and disaster emergency decision platform

WEI Lianjiang1,2(), ZHOU Fubao1, XIA Tongqiang1, WANG Kai1, JIANG Heguo2, WANG Jian1   

  1. 1 Key Laboratory of Urban Underground Fire Protection of Jiangsu Province, China University of Mining and Technology, Xuzhou Jiangsu 221116, China
    2 The Mining Limited Company of Yiliang Chihong, Zhaotong Yunnan 657000, China
  • Received:2022-03-11 Revised:2022-07-12 Published:2022-10-19

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摘要：

为保证矿井通风系统按需可靠经济供风,实现矿井通风网络实时解算、异常诊断、灾情研判与风流应急调控,深入剖析矿井智能通风与灾变应急决策平台(MIVDEDP)的原理和软件架构,提出MIVDEDP软件架构,探讨多源数据协同融合的通信方式和数据存储方法,提出矿井通风网络实时解算方法、通风系统异常诊断方法和灾情研判方法,开发三维可视化MIVDEDP,并在宁夏羊场湾煤矿、山东付村煤矿和鄂尔多斯转龙湾煤矿进行测试、完善。结果表明:MIVDEDP的研发,可以实现矿井通风网络实时解算与异常智能诊断、灾情研判与风流应急调控。

关键词: 矿井智能通风与应急决策平台 (MIVDEDP), 矿井通风网络, 异常诊断, 实时解算, 灾情研判

Abstract:

In order to ensure the reliable and economical air supply on demand of the mine ventilation system, realized the real-time calculation, abnormal diagnosis, disaster judgment and air flow emergency control of the mine ventilation network, deeply analyzed the principle and software architecture of MIVDEDP, proposed the MIVDEDP software architecture, discussed the communication mode and data storage method of multi-source data collaborative fusion, and proposed the real-time calculation method of the mine ventilation network. The three-dimensional visualization MIVDEDP was developed and tested in Yangchangwan coalmine of national energy group, Fucun coalmine and Zhuanlongwan coalmine of Shandong energy group. The results show that the research and development of MIVDEDP can realize the real-time calculation and abnormal intelligent diagnosis of mine ventilation network, disaster judgment and air flow emergency control.

Key words: mine intelligent ventilation and disaster emergency decision platform (MIVDEDP), mine ventilation network, abnormal diagnosis, real-time calculation, disaster judgment