488 results about "Coal mine methane" patented technology

The invention discloses a gas extraction pipeline tiny leakage positioning method based on multi-sensor fusion, which belongs to the technical field of positioning, is used for gas extraction pipeline leakage positioning, and comprises the following steps: establishing a state equation and an observation equation of a motion process of an inspection robot, and realizing inspection robot positioning under a navigation system based on Kalman filtering. And realizing coal mine gas extraction pipeline leakage source positioning under a microphone array coordinate system based on a beam forming algorithm, and obtaining coal mine gas extraction pipeline leakage source positioning under a navigation system through coordinate conversion. According to the method, the leakage source position of the gas extraction pipeline under the navigation system is directly given, maintainers can conveniently and quickly reach the leakage source position, and the first-aid repair time is greatly shortened; the positioning error of the inspection robot can be effectively reduced, and the phenomenon that the positioning error is accumulated along with time when the inspection robot only uses an accelerometer and a gyroscope for positioning is avoided; the influence of background noise on a positioning result can be greatly reduced, and the spatial resolution of a leakage positioning result is improved.

The invention provides a gas extraction multi-parameter monitoring method and system based on edge calculation, and relates to the technical field of coal mine gas extraction. The method comprises the following steps: arranging multi-parameter sensor nodes in drill holes, pipelines and gas gathering stations, and accessing an edge calculation unit; performing time synchronization, zero drift correction, outlier elimination and normalization on the data of the gas concentration, the negative pressure, the flow, the temperature, the humidity and the hydrogen sulfide concentration to generate feature vectors; calling a lightweight neural network model for reasoning, and outputting an extraction efficiency score and a leakage risk degree; when the risk degree exceeds the limit, an acousto-optic alarm is triggered and a speed reduction instruction is issued; when the efficiency is insufficient, the negative pressure is adjusted; compressing and encrypting the result, and reporting the result to a cloud platform through a wireless network at regular time; and the cloud performs model incremental training based on historical data and feedback, and issues an update model through hot replacement. According to the invention, local intelligent analysis, rapid early warning and dynamic adaptive optimization are realized.

The invention relates to the technical field of data processing, and discloses a coal mining strategy analysis method and system based on coal mine gas concentration. The method comprises the steps of collecting gas concentration data through an intelligent track inspection device, performing data correction in combination with coal seam parameters to obtain concentration dynamic distribution data, performing multi-dimensional analysis based on the concentration dynamic distribution data to generate a risk thermodynamic diagram, determining differentiated mining parameters according to risk assessment, optimizing ventilation parameters through air volume regulation and control, and obtaining a risk analysis result. And finally, correlation analysis is carried out on each parameter to obtain a mining strategy scheme. The intelligent track inspection device collects gas concentration data and is matched with the sweeping assembly and the blowing assembly to keep the track clean, the detection range is expanded through reciprocating motion of the detection probe, and differential mining process parameters and ventilation regulation and control strategies are formulated in combination with multi-dimensional data analysis; the technical problems of small detection range, insufficient data analysis and unreasonable mining strategy in the prior art are solved.

The invention provides a coal mine gas extraction management and control method and system based on transparent geology, and the method comprises the following steps: integrating multi-source geological data, and constructing a transparent geological model which can reflect the actual geological condition in real time; based on geological information provided by the transparent geological model, calculating and optimizing key parameters of a drill hole in combination with coal and rock seeing parameters of a constructed drill hole to obtain preset drill hole design parameters; construction parameters and drilling parameters of drilling machine equipment are collected in real time; the drilling parameters are compared with the preset drilling design parameters; meanwhile, the drilling construction quality is analyzed and evaluated according to the construction parameters and the drilling parameters; and an extraction effect evaluation model and an extraction effect prediction model are constructed, gas parameters are collected in real time, and the gas extraction effect is evaluated. By means of the transparent geologic model, intelligent control over the whole coal mine gas extraction process is achieved.

The invention provides a mine gas emission amount measuring and calculating method and system based on an ultrasonic wind speed sensor, and belongs to the field of coal mine gas monitoring. The transmitting end and the receiving end of the ultrasonic wind speed sensor are fixed to roadway sides on the two sides of a roadway respectively, and ultrasonic echo signals in the downstream direction and ultrasonic echo signals in the countercurrent direction are collected; determining ultrasonic downwind time and ultrasonic headwind time according to the ultrasonic echo signal in the downstream direction and the ultrasonic echo signal in the countercurrent direction, calculating wind speed based on an ultrasonic time difference method speed measurement principle, and transmitting the wind speed to a cloud server; introducing a wind speed correction coefficient, and calculating the air volume of each total return airway based on the wind speed, the roadway section area and the wind speed correction coefficient; the air outlet gas discharge amount is calculated based on the air volume of each total air return way and the gas amount of the corresponding total air return way, and the total gas emission amount of the mine is calculated and displayed in combination with the total gas extraction amount; the monitoring mode that a traditional wind speed sensor replaces a plane with a point is changed, and the accurate total gas emission amount is calculated.

The invention discloses a coal mine gas concentration monitoring and early warning system, relates to the technical field of safety early warning, and aims to solve the technical problems that a traditional coal mine gas concentration monitoring and early warning system is insufficient in monitoring precision and not timely in early warning, and the coal mine gas concentration monitoring and early warning system comprises a monitoring module used for monitoring the temperature, humidity, oxygen concentration and gas concentration value of the environment in real time, the temperature, the humidity, the oxygen concentration, the gas concentration value and the position data of the monitoring nodes are transmitted to a data processing module; the self-adaptive compensation module is used for receiving the temperature, humidity, oxygen concentration and gas concentration values which are transmitted by the data processing module and monitored by the monitoring nodes in real time and correcting the temperature, humidity, oxygen concentration and gas concentration values to obtain temperature, humidity, oxygen concentration and gas concentration standard values; and a data processing module. The coal mine underground gas concentration monitoring system has the advantages of accurately and comprehensively performing real-time monitoring and effective early warning on the coal mine underground gas concentration.

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 discloses a method for rapidly and efficiently extracting coal mine gas in a broken and soft coal seam, and belongs to the technical field of coal seam gas development and coal mine gas prevention and control. According to the method, geological features of a coal mining planning area are determined, a ground U-shaped well and underground bottom-pumped rock drift layer-crossing drilling combined treatment system is deployed, and regional large-scale treatment is achieved in a well factory mode; the fracturing transformation range and the fracturing fluid distribution characteristics are detected by using a ground and underground combined micro-seismic monitoring and underground transient electromagnetic method, and the arrangement of layer-crossing drill holes is optimized; dividing the cross-layer drill holes into drainage holes and air exhaust holes, and formulating a collaborative extraction system in combination with different drainage and extraction stages; the method solves the problems that broken soft coal seam gas extraction is low in efficiency and long in period, and treatment blind areas exist, treatment time is remarkably shortened, cost is reduced, and safe and efficient production of a coal mine is guaranteed.

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.

According to the open pit coal mine methane emission monitoring equipment, the pretreatment device, the sampling air pump and the CH4 analyzer are arranged through the mounting column, and the stability of the mounting column is ensured through the base of the triangular structure support. The pretreatment device is a three-stage progressive filtering unit, dust and steam in the open pit coal mine gas can be removed, and the obtained sample gas can be cleaner and drier and is appropriate in temperature. By utilizing suction force generated by the sampling air pump, air enters an optical cavity of the CH4 analyzer after being treated by the pretreatment device. The CH4 analyzer further comprises a laser and a CH4 optical analysis module, the laser emits a laser beam with a specific wavelength to the optical cavity, and multiple reflections are formed in the optical cavity, so that the effective optical path of the laser beam reaches a preset range; the CH4 optical analysis module measures the concentration of methane in the sample gas by detecting the light intensity change of the laser beam after the laser beam passes through the optical cavity containing the sample gas. According to the scheme, the methane emission condition of the open pit coal mine can be accurately monitored.

The invention discloses a coal face upper corner gas block extraction system which comprises an advancing mechanism, an extraction mechanism and a control mechanism. The extraction mechanism realizes goaf state monitoring and gas extraction; and the control mechanism controls the received signal to perform data analysis and processing, and reasonably issues an extraction instruction. The invention further discloses a coal face upper corner gas block extraction method. The method comprises the steps that coal face goaf extraction parameters are determined; installing an extraction system on site; starting each electric appliance part; completing information collection and processing to obtain an analysis result; a related action instruction is given according to the analysis result, adjustment of the extraction position is completed, and then gas extraction of the current area is completed; when the gas concentration of the goaf meets the safety standard, it is confirmed that extraction is completed. The invention belongs to the technical field of coal mine gas extraction and solves the problems that existing extraction equipment is unreasonable in structure and cannot extract gas in time.

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 present invention discloses a coal mine tunnel gas leakage monitoring and positioning device and method, which relates to the field of coal mine gas control technology, including a remote processor, a first gas concentration sensor, a first locator and a mobile monitor, wherein the first gas concentration sensor is evenly distributed at the top of the tunnel along the length direction of the tunnel, an intermediate dividing line is provided between two adjacent first gas concentration sensors, the tunnel between the two adjacent intermediate dividing lines is a monitoring unit interval, the first locator is located in the middle of the bottom surface of the monitoring unit interval on one side close to the tunnel exit, the mobile monitor includes a mobile platform, a second locator is provided in the middle of the bottom surface of the mobile platform, and adjacently arranged gas concentration detection components and plugging agent spraying components are provided on the top surface of the mobile platform. The present invention adopts a coal mine tunnel gas leakage monitoring and positioning device and method of the above structure, which can solve the problem that the gas leakage monitoring and positioning method in the prior art has complicated steps and takes a long time.

The invention discloses a coal mine gas collaborative anti-reflection extraction method, which belongs to the field of coal mine gas extraction, and comprises the following steps: S1, drilling a plurality of vertical drilling wells and a plurality of horizontal drilling wells in a coal seam area to form a three-dimensional drilling network; s2, composite electric field fracturing is conducted, specifically, transient impact is conducted through a high-voltage pulse electric field, and then low-frequency electromagnetic waves are introduced for continuous action; s3, geothermal water in the underground abandoned mine is pumped through a high-pressure pump, the geothermal water is heated to the set temperature through a heat pump and then mixed with high-pressure nitrogen, the mixture is introduced into a wellhead of the three-dimensional well drilling network in a pulse mode, and water is pumped out after the set time and returned and conveyed into the underground abandoned mine; and S4, gas is extracted from the wellhead position through negative pressure adsorption equipment. By the adoption of the coal mine gas collaborative anti-reflection extraction method, advanced technologies such as a three-dimensional well drilling network, composite electric field fracturing and pulse type geothermal water and nitrogen mixed injection are combined, and the extraction rate is greatly increased.

The invention relates to a coal mine underground roadway full-section average gas concentration and concentration distribution determination method, which comprises the following steps of: mounting a methane remote measuring instrument on the side wall of a roadway, and equally dividing the roadway section into a plurality of sub-areas according to an angle alpha by taking the remote measuring instrument as a center; and starting from the 0-degree position, the methane telemeter rotates by taking an angle alpha as a unit, and the methane concentration at the corresponding angle position is measured one by one, so that the average concentration of each sub-region is obtained. The average gas concentration of the whole section of the roadway is obtained through weighted average calculation of the areas of all the sub-regions. A laser distance measuring sensor is integrated on the methane remote measuring instrument to measure the wall surface distance of a roadway in real time, so that the area of each sub-region is accurately calculated. According to the method, the problem of measuring the full-section gas concentration and distribution of the roadway is solved, and comprehensive and accurate monitoring of the gas concentration is realized. The method has the advantages of improving data representativeness, solving the problem of inaccurate measurement of roadway section gas distribution, providing a high-precision weighted average result and the like, is suitable for roadway sections of different shapes and sizes, and can provide important data support for coal mine gas control and ventilation system optimization.

The invention provides a one-stop rapid and accurate measuring device for coal seam gas content, and belongs to the technical field of coal mine safety. The device comprises a portable granular coal desorption and efficient crushing integrated device and a gas desorption amount automatic measuring device. The automatic gas desorption amount measuring device adopts a drainage volumetric method to automatically measure the desorption amount, so that manual reading errors are avoided; according to the granular coal desorption and efficient crushing integrated device, compressed air expansion, heat absorption and cooling are achieved through the double-layer light coal sample tank and the gas channel, the heat influence in the crushing process is reduced, and the measurement precision is ensured. According to the invention, the double-layer structure of the desorption measuring cylinder avoids bubble interference, the liquid level, temperature and air pressure integrated sensor realizes automatic measurement of environmental parameters, and the accuracy of desorption amount measurement is improved. And the crushing device adopts a high-speed gear type pneumatic motor and adapts to underground high-temperature, high-humidity and dust environments, so that the reliability of the device is remarkably improved. According to the invention, the underground one-stop rapid measurement of the coal seam gas content is realized, the data is stable and accurate, and reliable basic data is provided for coal mine gas treatment, coal seam gas resource utilization and methane emission metering.

The utility model discloses a gas extraction device for a high-gas coal mine, and relates to the technical field of drilling of soil layers or rocks. A high-gas coal mine gas extraction device comprises an extraction frame and an extraction pump, the extraction pump is fixedly connected to the top of the extraction frame, sliding grooves are formed in the two sides of the inner wall of the extraction frame, a dust filtering box is slidably connected to the interior of the extraction frame and slidably connected with the two sliding grooves, and a spring hose is fixedly connected to the top of the dust filtering box. Through cooperation of a dust filtering plate, a second threaded rod, a limiting rod and a cleaning brush plate, the dust filtering plate in a dust filtering box can adsorb dust in gas, then the cleaning brush plate moves under guiding of the limiting rod, the cleaning brush plate can clean the dust on the dust filtering plate, and therefore the cleaned dust can fall into a collecting box conveniently; further, the extracted gas can be effectively subjected to dust filtration treatment, and the purity of the extracted gas is further improved.

The invention belongs to the technical field of coal mine gas extraction, and relates to a flexible wall-attached hole sealing device, a hole wall crack blocking method and a hole sealing method.The flexible wall-attached hole sealing device comprises a flexible wall-attached hole packer and an air bag, the flexible wall-attached hole packer comprises a hole-shaped flexible wall-attached material, and the outer diameter of the hole-shaped flexible wall-attached material is matched with the inner diameter of a coal seam gas extraction drill hole; the air bag comprises a central flow injection pipe and an air bag fixedly arranged on the central flow injection pipe in a sleeving mode, the front end of the central flow injection pipe penetrates through the air bag, and a flow injection hole communicated with the air bag is formed in the central flow injection pipe so that water can be injected into the air bag or air can be inflated into the air bag, and therefore the hole-shaped flexible wall-attaching material can be attached to the inner wall of the coal seam gas extraction drill hole; and / or, a plurality of grouting pipes are arranged on the outer side of the hole-shaped flexible wall-attaching material, and water is injected into the hole-shaped flexible wall-attaching material after the hole-shaped flexible wall-attaching material is attached to the inner wall of the coal seam gas extraction drill hole, so that the hole-shaped flexible wall-attaching material is solidified, and the inner wall of the coal seam gas extraction drill hole is blocked.

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 discloses a ChemDraw-based coal micro-pore structure characterization method, and relates to the technical field of coal mine gas geology, and the method comprises the steps: obtaining coal micro-pore structure data through a plurality of technologies, and carrying out the preprocessing; analyzing the preprocessed coal micro-pore structure data, and extracting key information of coal micro-pores; generating a coal micro-pore three-dimensional structure model based on the key information of the coal micro-pores; simulating the coal micro-pore three-dimensional structure model through a physical simulation tool to obtain a coal micro-pore structure physical simulation result; comparing the physical simulation result of the microcosmic pore structure with the coal microcosmic pore structure data, and evaluating and optimizing a coal microcosmic pore three-dimensional structure model; and importing the evaluated and optimized coal micro-pore three-dimensional structure model by utilizing an API (Application Program Interface) of ChemDraw, and automatically displaying and exporting two-dimensional and three-dimensional structures. The invention provides a ChemDraw-based coal micro-pore structure characterization method, which realizes comprehensive, accurate and efficient pore structure analysis and display.

The invention discloses a non-excavation repair method for a lining composite pipe of an old coal mine gas pipeline, which comprises the following steps of: blocking a repair end pipeline, detecting and discharging residual gas in the repair end pipeline, then putting inspection equipment into the pipeline, and confirming and processing a repair position. The inspection equipment comprises a connecting frame, a driving wheel, a recycling mechanism, a connecting body, a rotating mechanism, a camera module, an optimizing mechanism and a connecting rope, the connecting frame can be driven by the driving wheel to move in the pipeline, camera shooting is conducted through the camera module at the front end of the connecting frame, and images are sent to an external terminal, so that workers can know specific conditions in the pipeline conveniently, and the working efficiency is improved. And the rotating mechanism is arranged at the outer end of the camera module, the polishing mechanism is arranged at the outer end of the rotating mechanism, foreign matter in the pipeline can be treated through the polishing mechanism, subsequent repair operation in the pipeline is facilitated, observation and treatment are integrated, the repair efficiency of the pipeline is effectively improved, and high practicability is achieved.

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 discloses a gas extraction optimization method based on goaf overlying strata fracture development and permeability distribution characteristics, and relates to the technical field of mine gas extraction. The method comprises the specific steps that a data set F (A) of a fracture development comprehensive index F and a data set P (A) of a permeability comprehensive index P in the overlying rock drilling process are obtained through a built-in parameter measuring module of a drilling bit; by means of a built-in comprehensive index calculation module, index weight assignment is carried out on different fracture development and permeability characteristic response degrees according to parameter values, and accurate recognition and division of a fracture high-development area and a high-permeability area are achieved; gas extraction roadway horizon arrangement parameters are formulated by comprehensively considering goaf overlying strata fracture development partition and permeability distribution characteristics. According to the method, the drilling data is obtained in real time based on engineering drilling, inversion of the fracture development and permeability distribution characteristics of the goaf is achieved, an important parameter basis is provided for accurate horizon arrangement of the high drainage roadway, and the coal mine gas drainage effect is effectively improved.

The invention discloses a coal mine methane emission estimation method based on backward Lagrange random particle simulation. The method comprises the following steps: S1, acquiring satellite methane concentration monitoring data, meteorological data, EDGAR emission list data and GFEI global fuel development emission list data of a research area; s2, selecting a pixel as an observation point, obtaining an influence factor of methane emission of a virtual emission point pixel on the methane concentration of the observation point pixel through a backward Lagrangian random particle simulation model by utilizing meteorological data to reversely track the motion trail of particles, and constructing a source receptor matrix according to the influence factor; s3, the Bayesian methane emission estimation model carries out observation and prior constraint based on the objective function to obtain posterior emission data of the research area. According to the method, the source receptor matrix is constructed by using the motion trail of the meteorological data reverse tracking particles, and the Bayesian methane emission estimation model performs observation and prior constraint based on the target function to obtain posterior emission data of the research area, so that high-precision methane emission inversion estimation of the coal mine in the research area is realized.

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.

A high-position drilling and coal mining face gas extraction-treatment dynamic collaborative prediction method belongs to the technical field of coal mine gas extraction and treatment, and comprises the following steps: firstly, screening out physical parameters influencing a goaf gas extraction effect and an upper corner gas treatment effect according to a porous medium multi-field coupling theory and a field actual working condition; corresponding parameters are collected in real time to form a time sequence data set; and secondly, multivariable input and multivariable collaborative prediction are carried out by adopting a mixed LSTM-Transform method, and an online learning module is adopted, so that the dynamic capture capability of a complex multivariable time sequence mode in an underground coal mine is remarkably improved, and extraction-treatment dynamic collaborative prediction is carried out on high-position drilling and coal mining surface gas. According to the method, the gas extraction effect and the accuracy, stability and real-time performance of upper corner gas result prediction can be effectively improved, meanwhile, optimization of gas extraction pressure parameters can be achieved, and reference is provided for the high-position drilling gas extraction technology.

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 utility model discloses a coal mine gas over-limit ventilation device for coal mining, which belongs to the technical field of coal mining and comprises a box body, a ventilation pipe is mounted at the top of the box body, a filter plate is arranged in the ventilation pipe, an activated carbon plate is arranged on one side of the filter plate, and a fan is mounted on one side of the activated carbon plate through a support. Through cooperative use of the fixing plate, the threaded rod, the threaded sleeve, the supporting plate, an anti-skid pad, a limiting rod and a rotating disc, the contact area and the friction force between the device and the ground can be increased, and then the stability of the device in the using process is improved; the device is not prone to displacement under the action of external force, and normal use of the device is guaranteed.

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 relates to the technical field of gas treatment, in particular to coal mine gas efficient dust removal and dehydration integrated equipment which comprises a vertical barrel, a vertical screen drum is arranged in the barrel, a cylindrical filter is arranged in the middle of the screen drum, the upper end and the lower end of the screen drum are rotationally connected with an upper partition plate and a lower partition plate respectively, and the upper partition plate and the lower partition plate are fixed in the barrel. A first vertical partition plate is arranged in the middle in the screen drum and divides the screen drum into a cleaning cavity and a filtering cavity. Gas enters the cylinder through the gas inlet connector, enters the filtering cavity after passing through the filter of the screen cylinder and then is discharged through the through hole gas outlet connector, the filter filters the passing gas, dust is filtered, and after a period of time, the screen cylinder driving device drives the screen cylinder to rotate by a half circle, so that the gas is filtered. Half of residual dust of the filter rotates to one side of the cleaning cavity, and the dust can be cleaned through back flushing through cooperation of the vibration device and the high-pressure blowing device.