Development Of A Gas Extraction Parameter P-D-C Model And Intelligent Control System For Coal Mine Underground Gas Extraction

Gas extraction informatization and intelligentization are the inevitable development trends of safe and efficient gas extraction in coal mines.In view of the current lack of transparency in gas extraction pipeline network and coal seam information,there is a serious mismatch between the negative pressure and extraction parameters of gas extraction in underground coal mines.This thesis conducts in-depth research on the parameter information of pipeline network-drilling-coal seam(P-D-C)based on sensor data.Intelligent control research on extraction parameters was also conducted according to changes in underground extraction conditions.The main work includes:(1)A calculation model for gas flow parameters in underground gas pipeline network was established based on energy equation,mass equation,and gas state equation.A characteristic parameter inversion model for coal seam was established based on radial flow method of drilling,gas pressure distribution equation,and gas pressure and content equation.It is possible to calculate the entire pipeline network extraction data based on monitoring data from limited points,and then invert the pipeline network data to coal seam characteristic parameters.This achieves the expansion of data from points to surfaces and then to volumes.(2)An intelligent control model for gas extraction negative pressure was proposed.Based on Siemens 1215 C PLC,an intelligent gas extraction operation and maintenance control system was developed.Equipment selection was carried out for each part of the system,and the operating system interface was designed.The system can achieve intelligent control of negative pressure,monitor data exceeding limit warning,and storage of extraction data.(3)The intelligent operation and maintenance control system software for gas extraction compliance was developed.The software includes functions such as calculation of gas flow parameters in the pipeline network,inversion of coal seam characteristic parameters,and automatic control of gas extraction negative pressure.The various gas extraction characteristic parameters of the 11303 working face were evaluated,and the compliance of the extraction in that area was outputted.(4)Relevant control equipment was installed in the bottom drainage roadway of the experimental coal mine 11306 working face.The stability time of sensor data after valve action,local losses under different valve openings,and effective valve openings were analyzed and compared,and their inherent laws were discovered.The system intelligently controlled the negative pressure according to the current extraction conditions,and achieved multiple increases in gas extraction concentration.The research results of this thesis can help coal mines reduce the investment of manpower and material resources,achieve transparency of extraction data,and unmanned control of gas extraction.It effectively realizes the deep excavation of gas extraction network and coal seam information,improves the gas extraction concentration,increases the gas utilization rate,and contributes to the prevention and control of gas disasters and pollution caused by gas discharge in China.