277 results about "Coal spontaneous combustion" patented technology

The invention provides a coal mine goaf coal spontaneous combustion risk intelligent monitoring and early warning method and system, and relates to the technical field of coal mine safety management. A dot-matrix wireless sensor network is deployed in a target area, temperature and gas concentration data are collected in real time, and data processing is carried out through edge calculation. A dynamic characteristic matrix is generated based on transfer learning and a space-time diagram convolutional network, a comprehensive risk index is calculated, four early warning levels are divided, efficient and accurate coal spontaneous combustion risk monitoring and early warning are achieved, and an innovative solution is provided for mine safety management.

The invention relates to the technical field of goaf fire prevention and extinguishment, in particular to a dynamic monitoring method and system for closed goaf fire prevention and extinguishment. According to the dynamic monitoring method, early warning parameters in a closed goaf and the air leakage amount of an air leakage position are monitored, and when the concentration of oxygen in the closed goaf is larger than a safety threshold value, the closed goaf is started; inert gas with the concentration and the flow is dynamically injected into the closed goaf until the concentration of oxygen in the closed goaf is smaller than or equal to a safety threshold value, and monitoring continues; the monitoring system comprises a gas injection system and a monitoring system, wherein the gas injection system is used for injecting inert gas into a plurality of closed goaf areas, and the monitoring system is used for monitoring early warning parameters in the closed goaf areas and the air leakage amount of air leakage positions. And controlling a gas injection system to inject inert gas into the closed goaf according to the oxygen concentration and the air leakage amount in the closed goaf. The purpose of efficient fire prevention and extinguishing through dynamic control over inert gas can be achieved, and spontaneous combustion of residual coal in the goaf is effectively prevented.

The invention discloses a coal spontaneous combustion early warning method based on deep learning and physical constraint. The coal spontaneous combustion early warning method comprises the following steps: acquiring coal static data including composition data, physical structure data and temperature rising speed and time sequence gas data including various gas concentrations and the current coal temperature; respectively inputting the processed static data input and time sequence gas data into a deep multi-layer perceptron module and a Transformer encoder module capable of learning a position scaling factor to obtain a first static feature and a first dynamic feature; inputting the features into a gating attention fusion module to obtain fused features, and predicting a critical temperature and a pyrolysis temperature corresponding to spontaneous combustion of the coal; in the training stage of the coal spontaneous combustion early warning model, the total loss comprises physical constraint loss and mean absolute error loss, and the physical constraint loss comprises temperature sequence constraint loss and mass conservation constraint loss; and the temperature range, the early warning grade and the chemical evolution stage are obtained through the critical temperature, the pyrolysis temperature, the coal temperature and a preset threshold value.

The invention provides a coal spontaneous combustion tendency prediction method, device and equipment based on a microstructure. The method comprises the following steps: acquiring microstructure information of a to-be-predicted coal sample; calculating coal spontaneous combustion tendency comprehensive parameters of the to-be-predicted coal sample; performing quantitative analysis on positive and negative correlation between the microstructure information and the coal spontaneous combustion tendency comprehensive parameters through a preset Pearson's correlation coefficient method to obtain a correlation matrix heat map; then, on the basis of the correlation matrix heat map, microstructure information with the highest correlation with the coal spontaneous combustion tendency comprehensive index is determined from the microstructure information; constructing a coal spontaneous combustion tendency-microstructure prediction model by taking microstructure information with the highest correlation as an independent variable; and finally, based on the coal spontaneous combustion tendency-microstructure prediction model, determining a coal spontaneous combustion tendency prediction result of the to-be-predicted coal sample.

The invention discloses a gob-side coal pillar spraying device for preventing spontaneous combustion of coal and a using method of the gob-side coal pillar spraying device, and belongs to the technical field of mining equipment.The spraying device comprises a first spraying assembly, a detection assembly and a second spraying assembly, and the first spraying assembly is used for spraying for the first time; the detection assembly is used for detecting the thickness and / or uniformity of the first spraying; the second spraying assembly is used for conducting second-time spraying, and the spraying amount and / or the spraying speed of the second-time spraying are / is adjusted according to the detection result of the detection assembly. The detection assembly is used for detecting the spraying condition of the first spraying assembly, the second spraying assembly is used for conducting spraying on the position with the poor spraying effect, the using amount of coal mine air leakage stopping materials can be reduced compared with two-time complete spraying, and the spraying efficiency can be improved compared with manual spraying on the basis that the spraying efficiency is improved. And the spraying uniformity is guaranteed, and the spraying quality is improved.

The invention provides a shallow coal seam hidden fire source full-field monitoring and early warning method and system, and belongs to the technical field of coal spontaneous combustion fire monitoring and early warning, and the method comprises the steps: S1, obtaining thermal infrared image and visible light image data; s2, eliminating redundant thermal imaging frames and fuzzy thermal imaging frames; s3, obtaining a preliminary surface temperature field distribution map; s4, an open fire source and a suspicious area are distinguished, and positions are marked; s5, acquiring surface temperature gradient distribution and indication gas concentration data of the suspicious area, and acquiring surface temperature data and underground temperature data of the verification point, indication gas data escaping from the detection hole and radioactive radon content data; s6, establishing identification indexes of the dark fire source; s7, establishing a dark fire source grading risk standard; and S8, outputting an early warning result. According to the method, full-time, full-field and three-dimensional monitoring is realized, the accuracy and the reliability are improved, intelligent graded early warning and decision support are realized, and the environmental adaptability and the automation level are enhanced.

The invention discloses a goaf coal spontaneous combustion early warning system and method based on a digital twinning technology, temperature, gas concentration (CO, O2 and the like) and humidity data are collected in real time through a multi-source sensor, a goaf three-dimensional model is constructed in combination with ultrasonic wave and seismic wave exploration, and a spontaneous combustion process is simulated by coupling an Arrhenius equation and a Fick law through COMSOL. And performing Z-Score standardization and machine learning (SVM, random forest) analysis on the data to generate a dynamic thermodynamic diagram early warning risk. The system realizes low-delay transmission through MQTT and 5G, realizes three-dimensional platform real-time visualization, and triggers multi-stage early warning (temperature / CO threshold) and automatic intervention (nitrogen injection and ventilation adjustment). Compared with the prior art, the early warning accuracy is improved by 35%, the response time is shortened to 15 minutes, and the risk of spontaneous combustion accidents is remarkably reduced.

The invention relates to the technical field of coal mine safety monitoring, in particular to a coal spontaneous combustion temperature prediction method based on an ACO-BP neural network model. The method comprises the following steps: carrying out gas collection on a space in which coal is located through gas monitoring equipment at preset time intervals to obtain gas corresponding to the coal; component and concentration analysis is conducted on the gas through a gas analyzer, a gas concentration data set is obtained, and the gas concentration data set comprises concentration data corresponding to at least one gas; and inputting the gas concentration data set into a target ACO-BP neural network model for identification processing, predicting a first temperature corresponding to the coal, and determining spontaneous combustion information of the coal according to the first temperature. According to the invention, the accuracy and convenience of coal spontaneous combustion temperature prediction can be improved.

The invention provides a coal spontaneous combustion grading early warning determination method based on characteristic gas and structure content, which comprises the following steps of: selecting temperature, symbolic gas and content of coal functional groups as indexes of coal spontaneous combustion grading early warning; the coal spontaneous combustion slow oxidation process is divided into six stages, namely a coal spontaneous combustion oxidation stage, a coal spontaneous combustion self-heating stage, a coal spontaneous combustion critical stage, a coal spontaneous combustion pyrolysis stage, a coal spontaneous combustion fission stage and a coal spontaneous combustion combustion stage, and the six stages correspond to gray early warning, blue early warning, yellow early warning, orange early warning, red early warning and black early warning in sequence. The concentration of O2, CO2, CO, C2H4 and C2H2 is collected through a gas sensor, the temperature of a goaf is collected through a temperature sensing probe, the type and metamorphism degree of coal are recognized through an intelligent camera, and data are transmitted to a ground monitoring computer in real time to be analyzed, judged and processed. The method is more refined and accurate, the timeliness, accuracy and reliability of coal spontaneous combustion danger early warning can be effectively improved, the using effect is good, and application and popularization are convenient.

The invention discloses a gas and coal spontaneous combustion co-treatment technology under the shallow-buried close-distance coal seam group upward mining condition, and belongs to the technical field of coal mine safety mining. The method comprises the following steps of: constructing a ground well on a coal seam group on the ground, pre-pumping gas of an upper coal seam, mining the upper coal seam after coal and gas outburst danger is eliminated, synchronously utilizing the ground well to pump gas in a front disturbance area and a rear goaf of a working face during mining, injecting cement mortar into the working face by utilizing the ground well above the goaf every time the working face is propelled by 50-60m, spontaneous combustion of residual coal in the goaf is inhibited and overlying strata sinking is reduced. After the upper coal seam is mined and cement mortar in the goaf is solidified, the ground well extends to the middle coal seam and the lower coal seam, and gas pre-extraction, coal seam mining and cement mortar injection are conducted in sequence through the method. According to the technology, gas pre-extraction, coal mining, grouting and other procedures are matched in an echelon mode, gas and coal spontaneous combustion disasters of the shallow-buried close-distance coal seam group can be effectively treated, surface subsidence is reduced, mine production safety is guaranteed, meanwhile, operation is easy, and cost is saved.

The utility model relates to the technical field of coal conveyor safety production, and discloses a coal conveyor operation monitoring device which comprises an inspection robot, a plurality of driving devices are arranged at the top of the inspection robot, a thermal infrared imager is installed at the bottom of the inspection robot, and protection assemblies are arranged on the front side and the rear side of the inspection robot. A cooling assembly is arranged in the inspection robot, the protection assembly comprises an air inlet cover, the air inlet cover is mounted on the front side of the inspection robot, two mounting guide rails are symmetrically arranged on the rear side of the inspection robot, a dust cover is slidably connected between the two mounting guide rails, and a vibration motor is arranged in the inspection robot. According to the utility model, the corrosion-resistant alloy shell is adopted, and the sealing protective cover and the self-cleaning system are arranged to prevent dust from invading. The robot is combined with a thermal infrared imager and an AI algorithm to position a high-temperature point and spray cooling gas and isolation foam, rapid cooling is achieved, coal spontaneous combustion is prevented, and the safety of a coal conveying system is improved.

The invention provides a method for determining the spontaneous combustion evolution process of end slope coal of a strip mine, and belongs to the field of geotechnical engineering geological disaster prevention and control and the field of mine safety and environmental protection. Updating the porosity, the permeability and the range of the combustion space area in the pre-established three-dimensional geologic model by adopting the three-dimensional distribution of the porosity of the bending subsidence zone, the permeability of the fissure zone, the permeability of the caving zone and the porosity of the caving zone in the combustion space area; performing coal fire evolution simulation again according to the updated pre-established three-dimensional geologic model to obtain a coal fire development range, an updated real-time temperature field range and a gas concentration field; and if the combustion cannot be continued, outputting a final coal fire development range and an updated real-time temperature field range. According to the method, the efficiency and accuracy of open-pit mine end slope coal fire treatment are effectively improved.

The utility model belongs to the technical field of coal mine fire prevention and extinguishing safety, and particularly relates to an intelligent goaf spontaneous combustion monitoring and nitrogen injection device which mainly comprises a circular-truncated-cone-shaped pressure-bearing protective shell, a pressure-bearing plate, a pressure-resistant steel ring, a multi-parameter monitoring probe, a nitrogen injection nozzle and an intelligent control switch. The pressure-bearing plate is located at the top end of the circular-truncated-cone-shaped pressure-bearing protection shell, the compression-resistant steel rings are symmetrically distributed in the circular-truncated-cone-shaped pressure-bearing protection shell, the multi-parameter monitoring probes and the nitrogen injection nozzles are distributed on the periphery, and the multi-parameter monitoring probes are located on the lower sides of the nitrogen injection nozzles. And the intelligent control switch is connected with the nitrogen injection hose. According to the device, accurate division of three zones of spontaneous combustion of the goaf is achieved by laying the monitoring devices in different areas, the change conditions of the three zones of the goaf can be monitored in real time, nitrogen injection in different areas is further achieved, the spontaneous combustion risk of residual coal is accurately prevented and controlled, and the reliability of the goaf is improved. The problems that the spatial law of spontaneous combustion of the residual coal in the goaf cannot be accurately mastered, the nitrogen injection range is small, the nitrogen injection effect is poor, and nitrogen injection is not timely are solved.

The invention discloses a method for identifying coal spontaneous combustion tendency and a low-temperature oxidation critical point based on potential signals, which comprises the following steps: heating different types of coal samples to obtain potential signals on the surfaces of the coal samples, and calculating to obtain fractal dimension width delta alpha and spectral shape width delta fm of the coal samples; then, the change conditions of the fractal dimension width delta alpha and the spectral shape width delta fm in the heating process are obtained, the temperature value corresponding to the initial sudden change of the fractal dimension width delta alpha is determined as the low-temperature oxidation critical point of the different types of coal, and then the temperature value corresponding to the extreme point of the spectral shape width delta fm of the different types of coal is obtained; and the fractal dimension width delta alpha is suddenly changed from the first time and continuously forms the width of an abnormal zone, so that the spontaneous combustion tendency of different types of coal is judged. According to the method, on the premise that the low-temperature oxidation critical points of different types of coals are accurately recognized, the spontaneous combustion tendentiousness of different types of coals can be sorted, meanwhile, operation is easy, consumed time is short, and the working efficiency of determining the low-temperature oxidation critical points of different types of coals is effectively improved.

The invention discloses a simulation device and method for simulating goaf coal spontaneous combustion induced gas explosion, and belongs to the technical field of goaf gas explosion simulation. The simulation device comprises an explosion cavity body, a region control system, an explosion simulation system, an environment simulation system, a monitoring system and an intelligent control system; the area control system is used for dividing the space in the explosion cavity to form an explosion area and a non-explosion area at different positions; one end of the explosion simulation system is connected to an explosion area in the explosion cavity through the bottom of the explosion cavity; the environment simulation system is used for injecting gas needed by detonation of the explosion simulation system into the explosion area and injecting gas used for simulating the internal environment of the goaf into the non-explosion area. The monitoring system is used for measuring a gas explosion process in an explosion area and data change conditions of temperature, gas concentration and pressure characteristics of a coal face; according to the invention, the influence of gas explosion at different positions of the goaf in the explosion cavity on the coal face can be simulated.

The invention discloses a compound for flue gas deoxidation and a flue gas deoxidation method, and relates to the technical field of flue gas treatment for preventing spontaneous combustion injection of residual coal in a goaf. The compound comprises coal semicoke and a composite metal oxide which are mixed, wherein the composite metal oxide comprises CoO and CuO in a mass ratio of 7: (2.5-3.5); the compound is combusted through a fixed bed, and flue gas generated by combustion is deoxidized; when the coal semicoke is used for catalytic combustion deoxidation, CoO and CuO in a certain proportion are added, so that the oxygen consumption rate is high, the CO generation amount and the CO concentration are low, the ignition point is reduced, and the comprehensive effect is good; the problem that the concentration of O2 and the concentration of CO in the flue gas are too high when the flue gas is injected into an underground goaf is solved.

The invention discloses a method for preventing and controlling spontaneous ignition of coal in a goaf of an overlying coal seam in layered mining of a thick coal seam. According to the method, targeted coal spontaneous combustion prevention and control technologies are adopted in different stages such as an overlying coal seam mining period, an overlying coal seam working face stopping period and sealing, a lower layered coal seam tunneling period and a lower layered coal seam stopping period; and a prevention and control system combining other fire preventing and extinguishing technologies realizes continuous and efficient prevention and control of a coal spontaneous combustion target treatment area in an overlying coal seam goaf.

The invention discloses a self-expansion and self-diffusion stopping agent for preventing and treating spontaneous combustion of coal in a goaf and a preparation and use method of the stopping agent. Firstly, paraffin is used for blocking a round hole of the middle interlayer, then the two stainless steel hemispheres and the middle interlayer are welded to form a liquid-leakage-free stopping agent shell, finally, a component A, a component B and SF6 tracer gas are injected into the two hemispheres respectively, and injection openings are sealed. The stopping agent stably exists for a long time when no high-temperature heat source exists in the goaf, when the coal spontaneous combustion heat source appears, the stopping agent is heated, the paraffin of the interlayer in the shell and the hole sealing material of the injection opening are sequentially melted, the component A and the component B are mixed and react to release CO2 gas to be self-expanded to form stopping foam fluid, and the stopping foam fluid is sprayed out of the shell; spontaneously seeping and diffusing in goaf fractures, covering and wrapping a fire source, rapidly extinguishing fire, cooling and inhibiting coal spontaneous combustion; and meanwhile, the SF6 tracer gas is quickly extruded out of the shell, so that high-temperature hidden danger early warning is realized, and a basis is provided for making follow-up coal spontaneous combustion disaster prevention and control technical measures.

The invention belongs to the technical field of goaf fire position determination, and aims to solve the problem that the position of a fire source point is difficult to confirm due to the fact that a high-temperature fire source in a goaf has concealment and is difficult to approach and temperature measurement is difficult. The coal mine goaf fire source position joint inversion method comprises the following steps: constructing a long short-term memory network prediction model, and training the long short-term memory network prediction model based on a sample data set to obtain an index gas concentration-measuring point temperature prediction model; acquiring current index gas concentration data of the underground goaf of the coal mine; the index gas concentration-measuring point temperature prediction model judges whether coal spontaneous combustion occurs in the goaf based on the current index gas concentration data and speculates the boundary measuring point temperature; and inputting the temperature of the boundary measuring points into a goaf coal spontaneous combustion solving model, establishing a fire source point position joint inversion model, and determining optimal fire source point position information. According to the invention, the position of the coal mine underground goaf fire source point can be accurately judged.

The invention relates to the technical field of inhibitors, and discloses a preparation process of a high polymer coal spontaneous combustion inhibitor. The process comprises the following steps: S1, uniformly dispersing polydopamine microcapsules in deionized water, adding GMA (glycidyl methacrylate) grafted CNC (computer numerical control), and uniformly stirring to obtain a mixed solution; s2, sequentially adding acrylic acid and acrylamide into the mixed solution prepared in the step S1, then adding a cross-linking agent and an initiator, stirring under the protection of nitrogen, reacting to form gel, soaking the gel into ethanol to replace moisture, and freeze-drying to obtain the stopping agent. According to the preparation process, the thermal stability and the inhibition effect of the inhibitor are improved.

The invention belongs to the technical field of residual coal re-mining, and particularly relates to a gas and fire treatment method in the tunneling process of a lower-layer residual coal re-mining roadway, which comprises the following steps of: injecting gel foam into an upper-layer mining stopping line and an upper-layer open-off cut for leaking stoppage and cooling; advanced extraction is conducted on gas accumulated in a gas guide fissure zone of an overlying coal rock stratum of the upper-layer old goaf, meanwhile, carbon dioxide is injected into an air inlet and return roadway area of the upper-layer old goaf through a carbon dioxide injection drill hole in the ground, gas is displaced, and negative pressure air leakage of the upper-layer old goaf is prevented; and judging whether the residual coal in the upper-layer old goaf is spontaneously combusted or not, if the residual coal in the upper-layer old goaf is spontaneously combusted, increasing the carbon dioxide injection amount and the diffusion area, and performing advanced detection on the cavity in the process of tunneling the lower-layer roadway. According to the method, the risk probability of gas overrun, coal spontaneous combustion or gas explosion in the tunneling process of the lower-layer residual coal re-mining roadway is reduced.

The application relates to the technical field of coal mine safety, and provides a coal spontaneous combustion behavior evolution method and system under multi-physical field coupling. The temperature field of coal body spontaneous combustion changes the volume by affecting the deformation amount, the porosity of the coal body is calculated through the volume, and then the thermal deformation is driven; the thermal deformation influences the water diffusion through the porosity, the residual moisture saturation of the coal body and the liquid phase saturation, and then the water migration is driven in combination with the evaporation rate and the liquid phase saturation; the water migration drives the heat transfer in combination with the evaporation rate, the effective thermal conductivity and the coal oxidation reaction rate, a cycle of "heat transfer-thermal deformation-water-heat transfer" is formed, the "heat-force-water-heat" coupling closed loop during the coal body spontaneous combustion is realized, the two-way coupling of the seepage field, the temperature field and the mechanical field is realized, and the problem that the prediction is inaccurate due to the neglect of thermodynamic deformation and dynamic changes of pores in a traditional model is effectively solved.

The invention provides a preparation method of biomass aerogel for inhibiting spontaneous combustion of coal through synergistic modification of dopamine and melatonin, and the method comprises the following steps: adding carboxylated cellulose nanofiber, sodium alginate and melatonin into a NaOH aqueous solution containing urea to obtain CNF-C / SA / MT copolymer mixed sol, adding epoxy chloropropane, stirring, adding dopamine to form DOPA / CNF-C / SA / MT gel, and carrying out vacuum drying to obtain the biomass aerogel for inhibiting spontaneous combustion of coal through synergistic modification of dopamine and melatonin. After sealing and curing, standing at 60 DEG C to form hydrogel, curing and soaking with deionized water, and freeze-drying to obtain the biomass aerogel for inhibiting spontaneous combustion of coal through synergistic modification of dopamine and melatonin. The invention also provides application of the biomass aerogel for inhibiting spontaneous combustion of coal through synergistic modification of dopamine and melatonin. The biomass aerogel is used for inhibiting and delaying a spontaneous combustion oxidation reaction of coal. The biomass aerogel for inhibiting spontaneous combustion of coal through synergistic modification of dopamine and melatonin prepared by the invention uniformly covers the surface of a coal body, so that a synergistic effect of inhibiting spontaneous combustion of coal is realized.

The present invention discloses a testing device and method for the water retention and cooling performance of thickened slurry, wherein a gas regulating device is used to simulate the goaf environment; a heating and rotating device is used to simulate three different stages of coal spontaneous combustion; at the same time, a rotating drive motor is used to drive the coal sample to rotate, and a slurry smearing device drives an automatic slurry brush to swing through an electric slider and a slurry conduit, and the thickened slurry is evenly smeared and covered on the surface of the coal sample in combination with the rotation of the coal sample and the swing of the automatic slurry brush; finally, a monitoring device records the water retention parameters of the three stages of the thickened slurry for preventing and controlling coal spontaneous combustion through an infrared thermal imager, and evaluates the water retention of the thickened slurry by establishing a specific formula in combination with the water loss obtained by the weighing device, and obtains the evaluation results of the water retention and cooling performance of different thickened slurries in different stages of coal spontaneous combustion, thereby providing data reference for the subsequent selection of thickened slurry proportion and grouting amount for injection into the actual goaf according to the evaluation results.

The present application aims to provide a kind of coal mine underground damping type regulating air door and its using method, belong to coal mine underground ventilation technical field, including air door body, the window frame is equipped on the air door body, the outer end of air door body is equipped with shell, one end of window frame is hinged with air door body by hinge, the other end is connected with shell by window lock, a plurality of layers of damping net are equipped between window frame and shell, the outside of damping net is equipped with inner frame body, the upper and lower ends of window frame are equipped with slide rail, the slide rail includes the outer slide rail located in the outside of air door body and the inner slide rail located in the inside of air door body, the inner frame body is slidably connected with slide rail, the bottom of the inner frame body is equipped with control assembly.Damping type regulating air door, air flow area is large, and is flexible to block, air flow is not easy to penetrate to the coal body around air door, the probability of coal spontaneous combustion accident is greatly reduced, and the air volume regulating range is large, especially suitable for the area that air volume changes greatly.

The invention discloses a method for predicting the spontaneous combustion degree of a shallow coal seam goaf based on soil element change, which comprises the following steps: collecting a surface soil sample and a coal sample overlying a shallow coal seam, and simulating the influence of a heat effect generated by coal oxidation and a gas product on different element contents of surface soil under different coal temperature conditions of coal spontaneous combustion by utilizing a temperature programming experiment. And calculating change rates of different element contents of the soil under different coal temperature conditions, performing function fitting on the change rates and the coal temperature, performing field verification and correction on the function, periodically monitoring the change rates of different elements of the overlying soil of the goaf, and judging the coal spontaneous combustion danger degree of the goaf of the shallow coal seam. According to the method, a corresponding function of the shallow coal seam goaf coal temperature and the change rate of different earth surface elements is established through a temperature programming experiment and field monitoring, and the change rate of different earth surface soil elements in the goaf is periodically monitored and analyzed, so that the coal spontaneous combustion danger degree of the shallow coal seam goaf is judged. And a basis is provided for coal spontaneous combustion early warning of the shallow coal seam goaf under a large-span time condition.

This invention discloses a high-temperature detection, early warning, and fire prevention and extinguishing system for coal mine goaf areas, relating to the field of coal mine safety monitoring technology. It includes an environmental sensing module, a data processing module, a fire prevention module, and a fire extinguishing module. The environmental sensing module is used to detect and collect environmental data within the coal mine in real time. The data processing module is used to observe CO distribution, analyze the CO concentration distribution patterns in different areas, and, combined with temperature, locate the high-temperature zone of spontaneous combustion point in the goaf area, determining the early warning level. When the early warning level is primary, the fire prevention module is activated; when the early warning level is not primary, fire extinguishing slurry or inert gas is injected into the high-temperature area. This invention can improve the fire prevention and control level in coal mine goaf areas and ensure coal mine production safety.

The utility model discloses a sampling conversion device for a coal spontaneous combustion temperature programming experiment. The sampling conversion device comprises a pagoda joint, a PVC (Polyvinyl Chloride) hose I, a reducing straight joint and a PVC hose II which are connected in sequence, the inner diameter of the first PVC hose is 2 mm, and the outer diameter of the first PVC hose is 4 mm. The second PVC hose is a PVC hose with the inner diameter being 4 mm and the outer diameter being 6 mm. According to the utility model, the gas in the mine gas sampling ball bladder can be efficiently extracted.

The invention discloses a multi-scale data-based two-factor coal spontaneous combustion tendency comprehensive judgment method, which comprises the following steps of: constructing a two-factor coal spontaneous combustion tendency comprehensive index on the basis of an entropy weight method by combining a cross point temperature test and a chromatographic oxygen uptake test, and dynamically distributing a low-temperature oxidation stage weight of a target coal sample by adopting the entropy weight method, and constructing a two-factor coal spontaneous combustion tendency comprehensive index. According to the method, the problem of judgment deviation caused by only paying attention to the local oxidation stage in an existing single method is solved, the characterization capacity of the whole coal spontaneous combustion process is remarkably improved, a scientific and practical judgment basis is provided for coal mine underground coal spontaneous combustion risk monitoring, and the misjudgment risk caused by limitation of a single index is effectively reduced.

The invention relates to the technical field of coal spontaneous combustion monitoring and early warning, in particular to a coal spontaneous combustion incubation period CO concentration and coal temperature prediction method, and aims to solve the problems of insufficient accuracy, difficult prediction and the like in coal spontaneous combustion incubation period prediction. The method effectively accelerates the convergence process of the model, reduces the reasoning time, enhances the robustness of the model, optimizes the hyper-parameter combination of the model through the combination with the LSTM neural network, improves the prediction precision, and can provide a scientific basis for the precise prediction of the coal spontaneous combustion disaster.