Abstract:In order to achieve the evaluation of gas extraction drilling holes in coal mines and solve the quantification problem of gas extraction drilling construction evaluation,accurate measurement of drilling trajectory was used as the spatial data basis for drilling construction evaluation.By recording and organizing data on the opening,closing,sealing,construction,drilling and expansion,fracturing,and cutting of gas extraction boreholes,the deviation calculation between the drilling construction trajectory and the design trajectory was studied,and the deviation of the effective extraction area was quantified.A basic information database for drilling was established.Corresponding drilling construction evaluation models for different types of boreholes were established,and using the fit rate of drilling design and construction space as the main evaluation indicator were proposed.Simultaneously applying 2D and 3D GIS views to achieve borehole positioning,presenting the impact range of borehole trajectories,and online viewing of borehole information and evaluation results.The results showed that this method could effectively quantify the deviation between drilling construction and design,accurately calculate the degree of deviation in the effective extraction area,and the evaluation index of drilling design and construction space fit rate had strong scientific and practical significance,which can comprehensively evaluate the drilling construction effect.The application of 2D and 3D GIS views makes drilling location and trajectory impact range more intuitive,making it convenient to view detailed drilling information and evaluation results online.This study provides an effective method for evaluating the formation of gas extraction boreholes in coal mines,which helps to improve the inspection effect of gas extraction borehole construction.

Abstract:A mine decentralized drainage monitoring system based on Wi-Fi communication has been designed to address the problems of high construction costs,low development level,and lack of equipment diagnostic information in the current mine decentralized drainage system wired communication.The system uses wireless Wi-Fi to network with the already deployed base stations in the mine.Through state machine program design,it can accurately determine and respond to sensor data's over limit detection results to achieve automatic control.At the same time,real-time equipment operation data and alarm information were uploaded to the ground upper computer.After experimental verification,it has been found that within a straight-line distance of 180 m between the monitoring substation and the communication base station,the ModbusTCP protocol can effectively transmit data without obstruction,with a communication online rate exceeding 99.94％.The monitoring substation automatically shuts down after generating an alarm,improving system reliability.

Abstract:In the view of the problems of poor control accuracy and long response time in the feed control scheme of Han-huang Railway storage,transportation and loading system,a Fuzzy-PID based railway loading and feeding control system based on parameter self-tuning was designed.Firstly,the principle of parameter self-tuning Fuzzy-PID control was analyzed.Secondly,the feed controller and feed controller drive of railway loading and loading were designed and elaborated,and the feed control system based on controller,frequency converter and touch screen was established.Finally,the simulation and test of the feed control system were completed.The results showed that the designed feed control system could shorten the loading time of a bicycle to less than 50 s,and the loading accuracy of a bicycle was±0.1％,which further improved the production capacity and efficiency of railway transport.

Abstract:A crawler type bus controlled self-moving machine tail system has been developed to address the issues of low walking efficiency and high level of expertise in the operation process of the self-moving machine tail following machine in the comprehensive excavation working face.The system adopts front and rear four crawler support walking,and uses CAN bus proportional control load sensitive multi-way valve,bus remote control controller,and speed sensor to achieve manual/automatic/remote control,linear walking and other functions of the equipment,meeting the intelligent and automatic control requirements of the self-moving tail of the comprehensive excavation working face,and improving the level of unmanned and automated control in comprehensive excavation.

Abstract:With the rapid development of 5G communication technology,related technologies are increasingly being applied in the process of intelligent construction in coal mines.However,due to factors such as the complex underground mining environment in coal mines,issues such as the delay in automatic dispatch and response of coal mine vehicles still need to be addressed.By analyzing the environmental characteristics of coal mine underground and the key technologies of 5G-V2X,a networked autonomous driving technology for underground coal mine vehicles based on 5G-V2X technology was proposed.Through the establishment of a 5G-V2X communication network system,a"human-vehicle-tunnel-cloud"system architecture was designed,which enables real-time communication and data sharing between vehicles,vehicles and pedestrians,as well as vehicles and infrastructure.At the same time,a networked autonomous driving scheme and an intelligent dispatch management system architecture are designed.Simulation experiments have been conducted for verification.The results of air interface testing showed that the end-to-end communication delay of the 5G-V2X system was stable within 20 ms and the coverage rate could reach 82.5％.This system helps to improve the level of intelligent transportation in coal mine underground,significantly enhancing the transportation efficiency and safety performance in coal mines,and injecting new impetus into the intelligent construction of coal mine vehicles.

Abstract:A high-precision dynamic straightening scheme was proposed to solve the problem of accumulated errors in the inertial navigation positioning of coal winning machines,which leads to the inability to straighten the scraper conveyor.This scheme uses a combination of Strapdown Inertial Navigation(SINS)and odometer(OD)navigation to collect attitude,position and other data,and processes it through RTS smoothing algorithm to complete feedback correction of the optimal output state.Through theoretical calculations,simulation,and long-distance positioning experiments,it was finally concluded that the RTS smoothing algorithm significantly reduces position errors and greatly improves positioning accuracy compared to not using the smoothing algorithm.At the same time,under long-distance operation,the positioning accuracy in all directions was still improved by more than 45％,which has strong application value.

Abstract:In response to the structural failure,deformation,and insufficient stability of the scraper connection caused by factors such as wedge effect in the application of scraper slag cleaning conveyor in adverse geological engineering sites,an innovative method was proposed by combining on-site measurement and theoretical analysis to add limit components to the driving end and improve the segmented connection structure of the machine groove,in order to suppress the dynamic fluctuation of the chain and reduce the stress concentration of the machine groove.The improved equipment was designed in a modular manner,which is convenient for mining TBM matching.The on-site application test results are good,and the deformation of the scraper did not occur again.The connection failure of the machine groove was eliminated,improving the conveying efficiency and reducing the failure rate of the scraper slag cleaning conveyor.This provides corresponding reference for the application of scraper slag cleaning conveyor in adverse geological conditions.

Abstract:For the topology structure of ventilation networks in coal mines,ventilation related parameters were affected by branching and merging relationships,exhibiting complex nonlinear characteristics that make it difficult to accurately capture the relationships between ventilation related parameters,resulting in significant errors between monitoring results and reality.Therefore,research has been conducted on intelligent monitoring of coal mine ventilation safety based on improved support vector machines.A calculation model for the topology structure of coal mine underground ventilation network was constructed with ventilation related parameters air flow temperature as the core,and ventilation related parameter data for any node of the ventilation network topology structure considering bifurcation and convergence relationships were obtained.Using SVM mapping to output the relationship function between air temperature and air volume,in order to capture the complex relationship between air temperature and air volume,and iteratively search for the optimal values of kernel function parameters in a given search space,eliminating the interference of ventilation related parameter changes on the relationship function of air temperature and air volume,and improving the accuracy of monitoring.By using relaxation function to constrain the mapping output of wind temperature parameters in improved support vector machine,accurate coal mine ventilation status data can be obtained.In the test results,the error between the airflow density output by the monitoring method and the actual value is within 0.04 kg/m3,and the error in airflow volume of different dampers is always below 0.4 m3/s,all at a low level.

Abstract:China has abundant coal resources,and its intelligent construction of coal mines is entering a new stage of rapid development.The latest progress,application effectiveness,challenges faced,and future development trends of intelligent technology in coal mines in the region were deeply analyzed.Through the comprehensive application of cutting-edge technologies such as sensor technology,the Internet of Things,big data,and artificial intelligence,coal mine intelligence has made significant breakthroughs in mining automation,transportation intelligence,comprehensive safety monitoring,and integrated control platform.The application of these technologies not only greatly improves the efficiency and safety of coal mining,but also promotes the green,low-carbon,and sustainable development of the coal industry.However,the intelligent construction of coal mines still faces challenges such as differentiated technological paths,insufficient collaboration between software and hardware,and an incomplete standard system.By strengthening policy guidance,deepening technological innovation,accelerating standard setting,and talent cultivation,strategies can effectively promote the intelligent construction of coal mines in the Shanxi Shaanxi Inner Mongolia region to a higher level.