摘要
In view of the difficulty of automatic adjustment, the recovery lag and the major accident potential of the mine ventilation system, an experimental model of the pipe net was established according to the typical one mine and one working face ventilation system of Daliuta coal mine. Using the best uniform approximation method of Chebyshev interpolation to fit the fan performance curve, we experimentally determined fan characteristics with different frequencies and establish the data base for the curves. Based on ventilation network monitoring theory, we designed a monitoring system for ventilation network parameter monitoring and fan operating frequency automatic control. Using the absolute methane emission quantity to predict the air quantity requirement of branch and fan frequency, we established a f-ω regulation model based on fan frequency and absolute methane emission quantity. After analysing methane emission and distribution characteristics, using CO_2 to simulate the methane emission characteristics from a working face, we verified the correctness and rationality of the f-ω regulation model. The fan operation frequency is adjusted by the method of air adjustment change with methane emission quantity and the curve searching method after determining air quantity requirements. The results show that the air quantity in a branch strictly changes according to the f-ω regulation model, in the airincreasing dilution by fan frequency regulation, the CO_2 concentration is limited to the set threshold value. The paper verifies the practicability of a frequency regulation system and the feasibility of the frequency adjustment scheme and provides guidance for the construction of automatic frequency conversion control system in coal mine ventilation networks.
In view of the difficulty of automatic adjustment, the recovery lag and the major accident potential of the mine ventilation system, an experimental model of the pipe net was established according to the typical one mine and one working face ventilation system of Daliuta coal mine. Using the best uniform approxi- mation method of Chebyshev interpolation to fit the fan performance curve, we experimentally determined fan characteristics with different frequencies and establish the data base for the curves. Based on ventilation network monitoring theory, we designed a monitoring system for ventilation network parameter monitoring and fan operating frequency automatic control. Using the absolute methane emission quantity to predict the air quantity requirement of branch and fan frequency, we established a f-ω regulation model based on fan frequency and absolute methane emission quantity. After analysing methane emission and distribution characteristics, using CO2 to simulate the methane emission charac- teristics from a working face, we verified the correctness and rationality of the f-ω regulation model. The fan operation frequency is adjusted by the method of air adjustment change with methane emission quantity and the curve searching method after determining air quantity requirements. The results show that the air quantity in a branch strictly changes according to the f-ω regulation model, in the airincreasing dilution by fan frequency regulation, the CO2 concentration is limited to the set threshold value. The paper verifies the practicability of a frequency regulation system and the feasibility of the frequency adjustment scheme and provides guidance for the construction of automatic frequency conversion control system in coal mine ventilation networks.
作者
Wu Zhengyan
Jiang Shuguang
Wang Kai
Shao Hao
Zhou Song
He Xinjian
Han Jing
Cui Chuanbo
Pei Xiaodong
Wu Zhengyan;Jiang Shuguang;Wang Kai;Shao Hao;Zhou Song;He Xinjian;Han Jing;Cui Chuanbo;Pei Xiaodong(Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China;School of Safety Engineering China University of Mining and Technology, Xuzhou 221116, China;State Key Laboratory of Cool Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China;Department of Chemical Engineering, Engineering Faculty, Monash University, Melbourne, Victoria 3800, Australia;Department of Industrial Management and Systems Engineering, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV 26506, USA;School of Mining and Safety Engineering, Anhui University of Science and Technology, Huainan 232001, China)
基金
support from the National Key Research and Development Plan (No.2016YFC0801800)
the National Natural Science Foundation of China (No.51404263)
the National Natural Science Foundation of Jiangsu (No.BK20130203)
the Project Funded by the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions
the Fundamental Research Funds for the Central Universities (Nos.2014XT02 and 2014ZDPY03)
