245 results about "Coal mine methane" patented technology

The invention relates to the technical field of coal mine gas disaster prediction, in particular to a while-drilling sensing coal face gas danger area division method which comprises the following steps: S1, in a detection drill hole drilling process of a coal face, detecting the gas danger area of the coal face; the method comprises the following steps: synchronously acquiring three types of parameters: direct gas parameters, drilling kinetic parameters and hole wall geophysical parameters through a measurement-while-drilling system; the measurement while drilling system comprises a sensor array arranged on a drilling tool and a data transmission module communicating with a ground data processing system. S2, performing space-time alignment and fusion analysis on the multi-source parameters acquired in the step S1, and adopting a mode recognition method based on mutation point detection and multi-parameter association; through multi-source information fusion and dynamic coupling modeling, accurate identification and graded early warning of a gas dangerous area are realized, the detection precision and early warning timeliness are improved, and a closed-loop prevention and control system integrating perception, evaluation and management and control is formed.

The invention provides coal seam multi-section type directional fracturing and permeation increasing equipment and method, and relates to the technical field of coal mine gas treatment and coal seam gas exploitation, the coal seam multi-section type directional fracturing and permeation increasing equipment comprises a machine body, a propelling mechanism, a fracturing pipe and a liquid inlet mechanism, and a plurality of sets of directional assemblies are arranged outside the fracturing pipe at equal intervals; and the fixing mechanism is used for directionally spraying the high-pressure water to the fixed direction in the coal seam and comprises a limiting component arranged on the propelling mechanism and used for limiting the fracturing pipe stretching into the fracturing seam and a connecting component arranged on the limiting component and used for locking the fracturing pipe. High-pressure water can be directionally jetted to the fixed direction in a coal seam fracturing hole, the situation that due to the fact that the high-pressure water is jetted at will, a large number of cracks are generated on the soft portion of the coal seam, and consequently permeation increasing is uneven is avoided, in addition, a fracturing pipe stretching into the fracturing hole can be fixed, and the situation that the permeation increasing effect is affected due to the fact that the fracturing pipe shakes when equipment runs is avoided.

The invention relates to the technical field of coal mine gas concentration prediction, in particular to a coal mine gas concentration time sequence prediction method and system based on LSTM. The method comprises the following steps: collecting multi-source data such as a mining machine pose time sequence, a micro-seismic monitoring event sequence and roadway environment monitoring, constructing a damage-permeability evolution equation by combining geological information, inverting a coal-rock mass dynamic stress damage field, calculating a gas dynamic permeability field and a gushing source intensity field, and finally predicting the gushing source intensity field by combining a space-time prediction model with historical data. And predicting future gas concentration distribution. And real-time space positioning of the coal mine gas emission source is realized.

The invention relates to a coal anisotropy-based cross-layer drilling gas extraction productivity prediction method, which belongs to the technical field of coal mine gas disaster prevention and control, and comprises the following steps: quantifying the sensitivity weight of a permeability main control factor, determining the evolution law of permeability under the action of different effective stresses and coal structures, and determining the permeability evolution law; determining a coal body permeability anisotropy multi-factor response mechanism; establishing a hole periphery effective stress field space function taking a radial distance, a tangential distance and an annular angle as variables, constructing a hole periphery permeability anisotropy space distribution model of the crossing drill hole, and establishing a stress-damage-seepage multi-field coupling mechanism and a permeability anisotropy time-space evolution model of a drill hole unloading area; and analyzing inter-hole interference characteristics of a plurality of cross-layer drilling extraction gas migration flow fields, a cross-layer drilling group extraction interference effect and a bedding seepage control productivity prediction model, clarifying a scale effect of a group hole topological structure and a productivity marginal decline rule, and constructing a three-dimensional cross-layer drilling group extraction productivity prediction model controlled in a bedding direction.

The invention provides a large model and retrieval enhanced intelligent gas risk studying, judging and handling method and device.The method comprises the steps that a gas over-limit alarm semantic description text is obtained, and structured risk elements are extracted through a large language model subjected to instruction fine adjustment; mapping the risk elements into standard terms based on a gas over-limit risk standardized ontology model; executing multi-dimensional weighted retrieval in the coal mine safety domain knowledge base according to a standardized result, calculating a comprehensive correlation score by combining semantics, ontology, regulations, cases and trend consistency, and screening knowledge fragments; and finally, constructing a scenario semantic context, driving the large language model to perform causal reasoning and generating a risk disposal strategy. Through ontology standardization and a multi-dimensional retrieval mechanism, the problems of insufficient specialty and illusion of a general model are solved, accurate study and judgment and scientific disposal of the coal mine gas risk are realized, and it is ensured that the finally generated risk disposal strategy has a clear regulation source and data support.

The invention provides a coal mine gas risk virtual deduction early warning method and system based on multi-source information fusion, and belongs to the technical field of gas risk early warning. The method comprises the steps that firstly, geological, mining and environment multi-source data are collected, and after preprocessing and feature extraction, high-dimensional risk feature vectors are fused and constructed; then, the vector is used for driving a virtual working face system containing mining, ventilation and gas emission intelligent agents to perform evolution, a Monte Carlo tree search algorithm is used for prospectively deducing a future multi-step state, and the risk entropy of each path is calculated; and finally, generating a dynamic risk probability graph based on a deduction result, and solving a Pareto optimal decision set giving consideration to safety, efficiency and economy through multi-objective optimization. According to the method, the conversion of the gas risk from passive monitoring to active early warning is realized, the problem of early warning hysteresis is effectively solved, and advanced and accurate scientific decision support is provided for gas disaster prevention and control through risk visualization and spatial positioning.

The invention discloses a coal mine gas cloud contour infrared spectrum inversion method. The method comprises the following steps: 1, simulating an underground gas cloud formation environment; 2, acquiring infrared image data containing gas cloud by using an infrared spectrum detection device; step 3, carrying out de-noising processing on the infrared image data; 4, performing temperature drift correction and radiation calibration on the denoised infrared image, and converting a DN value into radiation brightness; 5, based on the multi-frame de-noised image, performing target detection and contour extraction on the gas cloud by using a Methane-YOLO model, performing multi-view geometric matching of feature points, performing adjustment optimization of three-dimensional coordinates in combination with a bundle method, generating a point cloud model, and reconstructing a curved surface; 6, based on the three-layer radiation transmission model and the Lambert-Beer law, inverting the gas concentration; and step 7, based on the CEEMDAN-VMD secondary decomposition and CNN-LSTM hybrid network, carrying out joint training on the space contour and time sequence data, and carrying out three-dimensional space concentration distribution prediction.

The invention discloses a fractured zone gas extraction technology optimization method based on absolute gas emission amount, and relates to the technical field of coal mine gas extraction, and the method comprises the following specific steps: constructing a coal seam mining three-dimensional stratum model, reproducing a coal seam excavation overlying strata fracture dynamic development process, representing an overlying strata void ratio spatio-temporal evolution law by using an image processing technology, and obtaining a fractured zone gas extraction result. Obtaining an overlying strata void ratio distribution function; the permeability distribution is deduced, the gas emission amount of the working face is calculated, the gas seepage process in a fracture network is simulated, and a fractured zone gas control targeted area is delineated; a linkage control rule of extraction technical parameters on gas emission, migration and distribution is disclosed, and a fissure zone gas extraction technical library is constructed; and defining an absolute gas emission critical threshold applicable to the extraction technology, constructing a multi-factor hierarchical extraction technology optimization judgment criterion taking the absolute gas amount as a core and considering an occurrence mode, a coal mining method and a ventilation mode, and further providing an adaptive extraction technical scheme and a parameter optimization suggestion for a specific working face. According to the method, differentiated treatment of gas emission of the working face is achieved, the coal mine gas extraction effect is effectively improved, and a reference basis is provided for selecting a gas extraction technology according to local conditions.

The invention discloses a method and a device for determining the gas content of a coal body by using tunneling face gas emission parameter inversion, and relates to the technical field of coal mine gas detection and safety. The method comprises the following steps: acquiring gas concentration, wind speed, roadway section parameters, geological parameters and environmental parameters of a tunneling face through a multi-parameter dynamic acquisition system; on the basis of the collected parameters, gas emission quantity characteristic values are calculated according to drilling operation shifts and non-drilling operation shifts through a dynamic inversion algorithm, and the gas content of the coal body in the current area is inversed; a coal sample is collected through an underground one-stop measuring system, the accurate gas content is measured, and parameters of a dynamic inversion algorithm are optimized; and inputting the multi-source data into an intelligent inversion and early warning system to obtain a predicted value of the gas content in front of the tunneling face and a gas outburst risk level, and adjusting the acquisition frequency and an inversion model. A measurement closed loop is formed, the measurement accuracy and timeliness of the gas content are improved, and the safety of coal mine tunneling operation is guaranteed.

The invention relates to the technical field of coal mine gas geological disaster prevention and control and intelligent identification, and discloses an underground coal mine gas geological abnormal body intelligent identification and grading early warning method and system, and the method comprises the steps: S1, collecting multi-source heterogeneous monitoring data in an underground coal mine target region, and carrying out the standardization processing and time-space reference unification; s2, constructing a multi-dimensional feature fingerprint database based on a historical or accumulated standardized data set; s3, acquiring real-time multi-source monitoring data for the current tunneling process or detection process, and extracting features of the real-time multi-source monitoring data; based on the multi-dimensional feature fingerprint database, adopting an evidence theory to carry out fusion calculation on a plurality of extracted real-time feature evidences to obtain a comprehensive confidence identification result of a specific type of gas geology anomalous body existing in a front unrevealed area; and S4, generating graded early warning information according to the comprehensive confidence identification result and a preset risk grade threshold. According to the invention, advanced identification, risk assessment and targeted early warning of geological disasters such as underground gas outburst are realized.

The invention discloses a large-dip-angle coal seam group coal roadway strip advanced fracturing and gas extraction method, and relates to the technical field of coal mine gas extraction. The method comprises the following steps: arranging a crossing hydraulic fracturing drill hole in an overlying first coal seam roadway to form an anti-reflection crack; a directional long drill hole of the coal seam is formed in the position of a to-be-tunneled roadway of the underlying coal seam, and strip advanced fracturing is formed based on the fracture extending direction; and ordered connection of drilling construction, gas pre-pumping, roadway tunneling and simultaneous tunneling and pumping is realized through closed-loop operation. The drilling distance, the hole sealing length and the pump injection parameters are optimized, the gas extraction period is remarkably shortened, the coal wall gas emission amount is reduced, and the tunneling efficiency is improved. According to the method, the problems of low gas extraction efficiency and high safety risk of the large-dip-angle coal seam group are effectively solved through a combination mode of gas extraction and strip advanced fracturing, the method is suitable for various coal seam conditions, and the safety and sustainability of coal mine production are remarkably improved.

The invention relates to the technical field of coal mine gas control and CO2 geological storage, and particularly discloses a soft coal seam dynamic fracture self-adaptive CO2 displacement-anti-reflection integrated system which comprises a dynamic fracture monitoring unit, a CO2 collaborative anti-reflection unit, a self-adaptive regulation and control unit and a safety protection unit. The dynamic fracture monitoring unit is used for capturing coal seam fracture development dynamics and gas injection process parameters in real time; the self-adaptive regulation and control unit is in communication connection with the dynamic fracture monitoring unit, and the CO2 synergistic anti-reflection unit is in control connection with the self-adaptive regulation and control unit and is used for realizing CO2 enhanced anti-reflection displacement; the safety protection unit is used for guaranteeing system operation safety. According to the method, real-time adaptation of the coal seam fracture state and the injection-production parameters is achieved, the problems that in a traditional fixed parameter mode, the displacement efficiency attenuation is fast, and the coal body stability is poor are solved, the CH4 recovery rate and the CO2 storage rate are increased, and the safety and high efficiency of soft coal seam gas control operation are guaranteed.

The invention discloses a coal seam gas nitrogen injection flow-increasing enhanced extraction effect evaluation method, which realizes accurate quantitative evaluation of a nitrogen injection displacement effect through a method of combining standard displacement efficiency experimental determination and actual displacement efficiency dynamic calculation. The problem that the nitrogen injection flow increasing effect cannot be objectively evaluated and dynamically optimized in the prior art is effectively solved; through a displacement range determination method and a multi-parameter real-time monitoring mechanism aiming at different mine geological conditions, the environmental adaptability of the evaluation system is remarkably improved; by combining a closed-loop optimization strategy constructed by a deep learning model, nitrogen injection parameters can be automatically adjusted and the extraction trend can be predicted according to real-time data, the gas extraction efficiency is improved while safe production of a mine is guaranteed, the nitrogen injection operation cost is reduced, and efficient and reliable technical support is provided for comprehensive treatment of coal mine gas.

The invention relates to a coal mine gas inspection collaborative decision-making system and method based on multi-agent reinforcement learning, and belongs to the field of coal mine safety informatization. According to the system, gas concentration in a roadway and roadway structure parameters are collected in real time through a sensor by utilizing an inspection robot; the edge computing layer performs data processing and analysis by using an improved MADDPG algorithm framework to realize dynamic task allocation; the digital twinning system evaluates an environmental risk coefficient by using a grey correlation analysis module, performs dynamic path planning based on a roadway three-dimensional digital twinning model, and constructs a three-dimensional dynamic gas diffusion prediction model based on an LSTM network; and decision execution and feedback: distributing a decision result to the inspection robot for execution, and correcting the pose and environmental parameters of the robot in real time through Kalman filtering. According to the method, gas monitoring can be automatically completed under complex geological conditions, the method has good adaptability and predictive capacity, and the coal mine gas inspection efficiency and accuracy are improved.

The present application belongs to the field of coal mine safety and coal gas utilization, and discloses a gas mixing control system for preventing freezing of a gas heat accumulation and oxidation shaft, which comprises a mixing device, a gas flow regulating valve, a mixed gas concentration measuring sensor and a controller. The mixed gas concentration measuring sensor is provided as at least two, and the control concentration value used by the controller is obtained by taking the arithmetic mean of the measured values of each mixed gas concentration measuring sensor. The control system uses the concentration difference between the upper and lower limits of the mixed gas concentration as a buffer zone, and continuously adjusts the opening of the low-concentration gas flow regulating valve at a certain frequency based on the mixed gas concentration monitoring value within a set time period, so that the mixed gas concentration is smoothly adjusted to the set operating target value. The present application also relates to a gas mixing control method.

The invention provides a method and system for quantitatively analyzing a coal mine methane emission reduction treatment policy, and relates to the technical field of data mining and informatization planning, and the method comprises the steps: obtaining text data of the coal mine methane emission reduction treatment policy; calling a large language model to analyze the policy text data, and extracting structured policy element evaluation in the policy text data to generate corresponding quantitative evaluation information; the quantitative evaluation information and the multi-source monitoring data of the coal mine methane are subjected to space-time alignment matching, a policy-monitoring associated data set is generated, and the policy-monitoring associated data set is used for driving or verifying a quantitative evaluation technical model of coal mine methane emission. By applying the scheme, quantitative analysis of the coal mine methane emission reduction governance policy can be objectively and efficiently realized, and accurate mapping and dynamic association between policy semantic information and objective monitoring data are realized.

1. The name of the design product: coal mine gas detection equipment shell (portable). 2. The use of the design product: the design product is used for the shell of coal mine gas detection equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a coal mine methane leakage early warning method and system based on a wireless sensor network, and relates to the technical field of leakage early warning. The method comprises the following steps: deploying a sparse sensor network in a coal mine area, and constructing a coal mine cloud picture; real-time data of a coal mine area are collected and transmitted back to the central control processor; if the real-time data represents that no leakage exists, but the real-time data is in a metastable critical state, carrying out directional sensing management by calling a mobile sensing component in the sparse sensing network; if the real-time data represents that leakage exists, a leakage verification assembly is triggered, the data are synchronized to a coal mine cloud picture, cloud picture network screening and superposition state definition based on leakage events are carried out, and leakage data are determined and leakage early warning management is carried out based on superposition state collapse of candidate leakage paths by introducing a walking operator. The technical problem that in the prior art, coal mine methane leakage monitoring depends on a fixed sensing point, and the leakage state cannot be dynamically tracked is solved, and the technical effect of coal mine methane leakage dynamic positioning is achieved.

The present application belongs to the technical field of coal mine safety engineering, and particularly relates to a gas extraction blind area detection method and system based on three-dimensional space analysis and intelligent algorithm. The method is based on the secondary development of the AutoCAD platform. The system calls the AutoCAD ActiveX interface through VBA programming, realizes the automatic import of the extraction drilling data and three-dimensional modeling, and adopts the Bezier interpolation algorithm to construct the coal seam model under the influence of gas extraction. The present application realizes the automatic and high-precision detection of the gas extraction blind area, has high detection accuracy, greatly reduces the manual detection error, improves the coal mine gas control efficiency, and provides intelligent technical support for the prevention and control of gas disasters.

The utility model discloses a coal mine gas extraction device with a slag removal function, and relates to the technical field of gas extraction. The coal mine gas extraction device with the slag removal function comprises a base, a shell is fixed to the top of the base, a lead screw is arranged on one side in the shell, a lifting plate is arranged on the lead screw in a threaded mode, a filter box is fixed to the top of the lifting plate, the top of the filter box communicates with a gas input pipe, a partition plate is fixed to the interior of the filter box, and a through hole is formed in the partition plate; a through hole is formed in the filter box, a filter screen is arranged in the through hole, a sealing plate is fixed to a front end opening of the filter box through a bolt, an extraction pipe is embedded in the sealing plate, gas extraction is facilitated, the filter screen is combined to filter the gas, dust and other impurities mixed in the gas are removed, and the purpose of slag removal is achieved; the filter screen can be cleaned conveniently, and the situation that the filter screen is blocked, and the gas extraction efficiency and the gas extraction effect are affected is avoided.

The invention discloses a coal mine gas concentration abnormal fluctuation identification and prediction method based on a wavelet transform frequency diagram and a CNN-LSTM fusion model. The method is specifically implemented according to the following steps: step 1, data acquisition and preprocessing; step 2, constructing a wavelet transform frequency diagram; step 3, constructing and training a CNN-LSTM fusion model; 4, identifying abnormal fluctuation; and 5, concentration prediction and early warning. The invention further discloses a coal mine gas concentration abnormal fluctuation recognition and prediction system based on the wavelet transformation frequency diagram and the CNN-LSTM fusion model. The problems that in gas concentration analysis and early warning in the prior art, abnormal fluctuation capture is poor, feature extraction is single, the model fusion degree is low, and the misjudgment rate is high are solved.

The invention belongs to the technical field of coal mine gas quantity experimental equipment, and particularly relates to an experimental device for measuring gas detonation, which comprises a bracket and an experimental box, and the experimental box is connected with an electronic igniter, visible glass and a flow guide pipe; flow guide holes are formed in the flow guide pipes; the bracket is connected with an electric push rod; the electric push rod is connected with a connecting plate; the connecting plate is connected with a gas assembly, an oxygen assembly and a pulverized coal assembly, and the output ends of the gas assembly and the oxygen assembly are arranged in the flow guide holes to inject gas and oxygen into the experiment box respectively; the output end of the pulverized coal assembly is arranged in the experiment box and injects pulverized coal into the experiment box. The liquid nitrogen has an extremely strong cooling effect and can effectively reduce the deep temperature of comburent and greatly reduce the probability of re-combustion, and the liquid nitrogen sprayed after pressurization has strong airflow and can restrain raising of pulverized coal, so that the risk of secondary dust raising explosion possibly caused during fire extinguishing is avoided, and the safety of fire extinguishing is improved. And the personal safety of workers entering an experiment site after the explosion experiment is completed is more effectively guaranteed.

The application discloses a kind of coal mine underground sealed roadway gas content real-time determination system and determination method, belong to coal mine gas content determination field;The method comprises: before roadway sealing, distribute distributed sensing optical fiber network and determine initial volume;After sealing, continuously monitor surrounding rock strain and internal gas pressure, temperature and gas concentration;Periodically inject known amount of inert gas into sealed space, use the change of gas concentration, pressure and temperature before and after injection, based on gas state equation to invert current absolute volume;Based on optical fiber strain data, calculate volume estimate through geometric and physical model, fuse the above two volume data, obtain continuous, high-precision optimal dynamic volume;Finally, fuse dynamic volume, concentration, pressure and temperature data, calculate gas total content and its change rate in standard state in real time, realize hierarchical early warning and gas resource, risk quantification management.

The invention relates to the field of coal mine gas treatment and utilization, and discloses a coal mine gas power station gas metering analysis system. The system comprises a flow metering unit based on a large-pipe-diameter V-cone flowmeter and differential pressure / pressure / temperature three parameters, a multi-point gas sampling and analyzing unit for cyclic sampling and parallel preprocessing, a methane concentration analyzing unit based on TDLAS and a redundant channel, a PLC metering and data integrity unit with an ms-level time reference and 64-bit high-precision calculation, and a data processing unit based on a redundant channel. A positive pressure purging explosion-proof control and alarm interlocking unit; and a local / cloud data issuing unit. The system solves the comprehensive problems of short straight pipe section, ultra-low concentration real-time analysis, continuous and reliable data and on-site explosion prevention, and the metering and safety management and control level of a gas power station is remarkably improved.

The invention belongs to the technical field of coal mine gas detection, and particularly relates to a coal mine gas dynamic early warning method based on BIM and Internet of Things and an intelligent control system. The method comprises the following steps: constructing a system map of a coal mine, and constructing a gas release path based on the system map; defining monitoring nodes; when it is monitored that abnormal fluctuation exists in the gas concentration data of the monitoring nodes, the score of an evaluation factor is calculated based on the abnormal fluctuation, the score of the evaluation factor is input into an evaluation model to output a gas risk level and a corresponding gas concentration alarm threshold value, and when the gas concentration data obtained in real time exceeds the gas concentration alarm threshold value, the gas risk level is output. And generating an alarm signal to start the ventilation equipment and the isolation equipment. According to the method, the accuracy of gas early warning, the effectiveness of emergency response and the safety of long-term operation are improved by dynamically adjusting the gas concentration alarm threshold value, carrying out risk positioning based on the gas release path and calculating the predicted occurrence time of the next alarm event.

The utility model discloses a dry-type flame arrester for a coal mine gas conveying pipeline, which relates to the technical field of flame arresting of the coal mine gas conveying pipeline and comprises a shell component, a flame arresting part and a fastener. Through the combined design of the fire-retardant sleeve, the stainless steel wire mesh and the corrugated plate type fire-retardant disc, flame propagation can be effectively blocked, and gas explosion accidents are prevented; the flame arrester adopts the design of the shell assembly and the flame arresting part which are in mirror symmetry, is convenient to install and maintain, and ensures the stability of the structure through the connection of a fastener; the flame arrester is suitable for gas conveying pipelines with different pipe diameters, can meet the use requirements under different pressure conditions, and is wide in application range; when the gas passes through the flame arrester at the average flow speed of 15m / s, the pressure drop is less than or equal to 1kPa, so that the gas conveying efficiency is not influenced; in conclusion, the dry type flame arrester provided by the utility model can effectively solve the explosion problem in a coal mine gas conveying pipeline, insulates flame propagation, ensures the production safety of a coal mine, and has a wide application prospect.

The invention relates to the technical field of coal mines, in particular to coal mine gas oxidation catalysis treatment equipment which comprises a ceramic heat accumulator, a ceramic heat accumulation rotating wheel is arranged in the ceramic heat accumulator, the ceramic heat accumulator is provided with a rotating assembly corresponding to the ceramic heat accumulation rotating wheel, and the rotating assembly comprises a motor; the air inlet pipeline is arranged on one side of the ceramic heat accumulator, the air inlet pipeline communicates with a filter box, and a filter screen is arranged in the filter box; the cleaning assembly comprises a cleaning plate rotationally arranged on one side of the filter screen; coal mine gas is filtered through a filter screen in a filter box, when the coal mine gas is subjected to oxidation catalysis through a ceramic heat storage rotating wheel, a second transmission shaft drives a first transmission shaft to rotate through cooperation of a lantern ring and a transmission ring, and the first transmission shaft drives a cleaning plate to rotate on one side of the filter screen; and when the cleaning plate rotates along the surface of the filter screen, the elastically arranged scraping plate cleans dust and impurities adhered to the filter screen.

The invention discloses a mechanical scraping-pulse airflow synergistic effect anti-blocking drill rod and a drilling construction method thereof, and belongs to the technical field of coal mine gas extraction drilling equipment. The anti-blocking drill rod is mainly composed of a drill rod body and an outer-layer sleeve which is coaxially sleeved with the drill rod body, a directional pulse airflow guide pipe and a nozzle are arranged in the drill rod body, and elastic slag scraping teeth, a scraped pulverized coal inlet and a crushed coal and broken stone inlet are formed in the outer-layer sleeve. The drilling construction method comprises the steps of equipment system preparation and connection, directional drilling construction, gas-water mixed deslagging, equipment system debugging and preheating, torque sensor calibration, collaborative drilling, intelligent control, collaborative ending and acceptance assessment. Through the synergistic effect of the drill rod self-cleaning structure and the directional pulse airflow, the core problems of hole blocking and drilling interruption caused by pulverized coal agglomeration in powder coal seam drilling are solved, the drill rod is matched with an existing mainstream drilling machine, and technical support is provided for efficient gas extraction of the deep powder coal seam.

The application discloses a low-transparency thick coal seam fault gas extraction device, relates to the related technical field of coal mine gas extraction, and comprises a supporting assembly, a rotating assembly, a pressing-down assembly and an extraction assembly. The middle part of the supporting assembly is provided with the rotating assembly. The application also provides a use method of the low-transparency thick coal seam fault gas extraction device. The supporting assembly can be erected above a thick coal seam fault drilling hole, the clamping assembly can clamp the extraction assembly to position the extraction assembly, the pressing-down assembly can press the extraction assembly into the drilling hole to lay the extraction assembly, the extraction assembly is composed of a pipe body and a pipe head, the outer side of the pipe head is provided with a movable arc-shaped baffle, and the baffle can shield and protect the gas extraction hole when the pipe head moves in the drilling hole, so that rock blocks and coal blocks are prevented from entering the gas extraction hole and causing the gas extraction hole to be blocked.

The present application belongs to the technical field of comprehensive utilization of coal mine gas, especially to a kind of coal mine low concentration gas and wind exhaust gas flameless oxidation comprehensive utilization system, in view of the problem that the existing coal mine gas comprehensive utilization device cannot fully utilize coal mine gas, the following scheme is proposed, including pump gas pipe, the pump gas pipe is connected with water seal fire blocking and explosion relief device, water seal fire blocking and explosion relief device is connected with gas pipe, and gas pipe is connected with first stage mixing device, first stage mixing device is connected with first stage mixed gas pipe;Air conveying pipe one, the air conveying pipe one is connected with first stage mixing fan.The coal mine low concentration gas and wind exhaust gas flameless oxidation comprehensive utilization system disclosed by the present application can significantly reduce greenhouse gas emissions, improve mine safety, and also realize power generation, heat supply or cogeneration comprehensive utilization.