Principle, key technology and preliminary realization of mine intelligent ventilation

被引：0
|
作者：
Zhou F. [1 ,2 ]
Wei L. [1 ,2 ]
Xia T. [1 ]
Wang K. [1 ,2 ]
Wu X. [2 ]
Wang Y. [1 ]
机构：
[1] Key Laboratory of Urban Underground Fire Protection of Jiangsu Province, China University of Mining and Technology, Xuzhou
[2] National Joint Engineering Laboratory of Internet Applied Technology of Mines, China University of Mining and Technology, Xuzhou
来源：
| 1600年 / China Coal Society卷 / 45期
关键词：
Accurate monitoring; Anomaly diagnosis; Decision-making platform; Linkage regulation; Mine intelligent ventilation;
D O I：
10.13225/j.cnki.jccs.ZN20.0338
中图分类号：
学科分类号：
摘要：
In view of the important demand of modern mine ventilation information and intelligent upgrading in China, the principle of intelligent ventilation, key technology and the composition of the system of mine are studied.The definition and connotation of mine intelligent ventilation are clearly explained.Mine intelligent ventilation is achieved through intelligent control on on-demand air supply, stably and economically deliver continuous and fresh air to the mine, for personnel breathing, dilution and discharge of harmful gases and dust, improving the mine climate conditions and disaster relief with a certain intelligent regulation of wind flow operations.Its connotation is to deeply integrate information collection and processing technology, control technology and ventilation system, and achieve on-demand air supplying and abnormal disaster state intelligent decision-making and emergency controlling under the condition of "based on peacetime, focused on disaster", not only to meet the automatic management and maintenance of daily ventilation, but also to achieve the disaster period of emergency control air effectively inhibiting the evolution of disaster.Based on the non-linear optimization model of air network regulation, the model of mine intelligent air control is proposed, and the standardized workflow is designed including the execution and feedback of the intelligent information of the mine, the multi-information intelligence perception of the mine, the efficient and reliable information transmission, the intelligent analysis and decision-making of the ventilation state, the execution and feedback of the ventilation facility/power intelligent regulation.Then, according to the concrete realization of the function of the intelligent ventilation system of the mine, the realization path of intelligent ventilation function of mine is respectively explained in detail from the key technologies such as the precision monitoring of ventilation parameters, diagnosis of ventilation anomaly and intelligent decision-making platform, ventilation power and intelligent regulation of facilities.Finally, the field test and application examples of the key technologies are presented such as the on-line monitoring of ventilation parameters and real-time solution of wind network, and regional linkage control. © 2020, Editorial Office of Journal of China Coal Society. All right reserved.
引用
收藏
页码：2225 / 2235
页数：10
相关论文
共 17 条
  • [1] ZHOU Lihong, YUAN Liming, THOMAS Rick, Et al., Determination of velocity correction factors for real-time air velocity monitoring in underground mines, International Journal of Coal Science & Technology, 4, 4, pp. 322-332, (2017)
  • [2] WANG Guofa, WANG Hong, REN Huaiwei, Et al., 2025 scenarios and development path of intelligent coal mine, Journal of China Coal Society, 43, 2, pp. 295-305, (2018)
  • [3] CHEN Chongxin, XIAO Wuli, HU Xinming, Introduction of intelligent local ventilation system, Jiangxi Coal Science & Technology, 3, pp. 108-112, (2009)
  • [4] XIANG Lifang, Research on underground intelligent ventilation system, Energy and Energy Conservation, 1, pp. 52-53, (2020)
  • [5] LUAN Wangpeng, Mine intelligent ventilation and real-time monitoring and control system, Shandong Coal Technology, 5, pp. 183-191, (2019)
  • [6] WANG Kai, JIANG Shuguang, ZHANG Weiqing, Et al., Numerical simulation and application research of mine fire emergency rescue system, Journal of China Coal Society, 37, 5, pp. 857-862, (2012)
  • [7] WANG Kai, JIANG Shuguang, ZHANG Weiqing, Et al., Remote control technology and numerical analysis of airflow in coal mine fire disaster relief process, Journal of China Coal Society, 37, 7, pp. 1171-1176, (2012)
  • [8] WANG Kai, JIANG Shuguang, MA Xiaoping, Et al., Numerical simulation and application study on a remote emergency rescue system during a belt fire in coal mines, Natural Hazards, 84, pp. 1463-1485, (2016)
  • [9] PEI Xiaodong, WANG Kai, LI Xiaowei, Et al., Analysis and Simulation of intensive mine air regulation model based on cellular automaton, Journal of China University of Mining and Technology, 46, 4, pp. 755-761, (2017)
  • [10] WEI Lianjiang, ZHOU Fubao, LIANG Wei, Et al., Correlation of mine ventilation network characteristic parameters, Journal of China Coal Society, 41, 7, pp. 1728-1734, (2016)
12