| Due to the normalization of deep mining in China,the improvement of ventilation technology is imminent.Intelligent ventilation is the only way to build intelligent mines.As one of the first 71 intelligent demonstration construction mines in China,Zhangshuanglou coal mine is in urgent need of construction and completion of intelligent coal mine.This thesis takes the intelligent ventilation construction of Zhangshuanglou coal mine as the engineering background.Aiming at the problems of real-time calculation of ventilation network,real-time monitoring and analysis of underground wind flow state,and determination of the number and location of monitoring sensors in the development of intelligent ventilation,the field investigation,literature review,theoretical analysis,experimental simulation,software development and other technical means are comprehensively used to carry out in-depth research.The main results are as follows:(1)The calculation model of mine wind flow state parameters is constructed.The main influencing factors of mine wind flow density are revealed.Based on the measured values of different mines,the variation law of mine wind flow state parameters is analyzed from the perspective of time and space,and the feasibility of relevant calculation formulas is verified.The calculation models of temperature,humidity and pressure are established respectively.(2)A criterion and method for optimal placement of multi-parameter sensors are proposed.The ventilation parameters of the whole mine branch of Zhangshuanglou coal mine were measured.The three-dimensional simulation model of Zhangshuanglou coal mine was constructed by VSE software.An experimental method was established based on the linkage mechanism of underground wind flow state.The actual arrangement of multi-parameter sensors in Zhangshuanglou coal mine was carried out through experimental analysis,and the real-time monitoring of the wind flow state of important branches in Zhangshuanglou coal mine was realized.(3)An algorithm program for predicting mine wind flow density based on limited monitoring points is established.The block diagram shows the realization process of the wind flow density prediction algorithm,which can be coupled with the measured volume air volume of the roadway to make the underground branch reach the mass air volume balance,and assist the development of the ’ mine intelligent ventilation and emergency control platform ’ air network real-time solution operator module.The mine wind flow density calculation system is developed independently by JAVA language,which can easily calculate the mine wind flow density and potential pressure difference.(4)The application effect of sensor layout and prediction algorithm is verified.The criterion is proposed to realize the discrimination of sensor monitoring abnormal data,and the 24-hour monitoring value of the new auxiliary shaft in Zhangshuanglou coal mine is used to verify that the method is feasible.The effects of three different states of wind flow density participating in wind network calculation are compared,and the importance of wind flow density participating in wind network calculation and the feasibility of prediction algorithm are clarified.The real-time solution values of 70 important branch roadways in Zhangshuanglou coal mine were screened.By comparing with the field measured values,the prediction error rate of wind flow density was 1.43%and the real-time solution accuracy of ventilation network was 96.30%,which further proved the feasibility of the prediction algorithm.The research results of this thesis have been applied to Zhangshuanglou coal mine of Xukuang Group,which has realized accurate monitoring and analysis of underground wind flow state,and achieved the effect of ’ cost reduction and efficiency improvement ’.At the same time,the ’ mine intelligent ventilation software platform ’has been developed and improved,which has improved the economic and social benefits of the mine,and the research results can also provide theoretical basis and technical support for the development of intelligent ventilation in China.This thesis contains 56 figures,19 tables and 97 references... |
