437 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 discloses gel foam for preventing spontaneous combustion of coal, and belongs to the technical field of gel foam fire extinguishing. The gel foam comprises the following components: 0.1-0.5% of a composite foaming agent, 5-15% of a gelling agent, 0.1-0.5% of a cross-linking agent and the balance of water, the composite foaming agent is sodium lignin sulfonate and sodium fatty alcohol polyoxyethylene ether carboxylate; the gels are silica sol and sodium alginate. The gel foam has excellent water-retaining property, and can relieve water loss and weight loss of coal; the flame retardant can effectively hinder the contact between coal and oxygen, interrupt the free radical chain reaction of coal and avoid the oxidation weight gain of coal, and has an excellent flame retardant effect; in the combustion process, less heat is generated, and the smoke suppression effect is excellent. The gel foam does not contain antioxidants and flame retardants, can avoid environmental pollution, is an environment-friendly anti-oxidation gel foam, and can be used as an efficient fire preventing and extinguishing material in the field of preventing spontaneous combustion of coal.

The invention discloses a goaf gas and coal spontaneous combustion composite disaster simulation system and prediction method, and belongs to the technical field of coal mine thermodynamic disaster evolution process simulation tests. The simulation system comprises a transparent cover body, a simulation test bed, a mining working face similar simulation model, a gas supply unit, a monitoring unit, a camera device and a balancing weight. The inclination angle of the base is adjusted by adjusting the telescopic supporting legs, a water bag is used for simulating a coal seam, and a coal pillar serves as a methane release channel in the simulated mining process. A mining process is simulated, gas is conveyed, methane and oxygen concentration data evolution laws are monitored, a related contour map is drawn, interpolation is carried out to reconstruct a space dangerous area, finally, a phase space reconstruction method is adopted to carry out chaos prediction, and disaster space form changes are analyzed. The simulation test and visualization of the evolution process of the gas and coal spontaneous combustion composite disaster can be realized, a dangerous area is quantitatively represented, a theoretical basis is provided for disaster prevention and control, and the energy safety and the life safety of workers are guaranteed.

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 belongs to the technical field of inhibitors, and provides a temperature-controlled targeted release composite inhibitor and a preparation method and application thereof. The preparation method comprises the following steps: carrying out a neutralization reaction on an acrylic acid solution, cellulose, acrylamide and water to obtain an intermediate solution, carrying out a polymerization reaction on an initiator, a cross-linking agent and the intermediate solution to obtain water-absorbing gel, and soaking the water-absorbing gel into an aqueous solution of an antioxidant for adsorption. The temperature-controlled targeted release composite stopping agent is composed of water-absorbing gel (a physical stopping agent) and an antioxidant (a chemical stopping agent), the water-absorbing gel is of a three-dimensional network structure, cellulose in the water-absorbing gel contains a large number of water-absorbing groups, a solution containing the antioxidant can be wrapped in the three-dimensional network structure, and the stability of the antioxidant is effectively improved; the water-absorbing gel can play roles in physical cooling and fire extinguishing, and is a biodegradable material; along with the rise of the temperature, the water-absorbing gel slowly releases the antioxidant, so that the effect of continuously inhibiting spontaneous combustion of the coal is exerted.

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 provides a nano-modified composite gel foam inhibitor for inhibiting spontaneous combustion of coal and a preparation method of the nano-modified composite gel foam inhibitor, and relates to the technical field of preparation of composite inhibitors. The nanometer modified composite gel foam stopping agent is prepared from six components including sodium polyacrylate serving as a gelling agent, konjac glucomannan serving as a cross-linking agent, lauryl sodium sulfate serving as a foaming agent, xanthan gum serving as a foam stabilizer, nanometer silicon dioxide particles and modified antioxidant powder, the optimal proportion of the gelling agent is 2.5 wt%, the optimal proportion of the cross-linking agent is 0.3 wt%, the optimal proportion of the foaming agent is 0.3 wt%, and the optimal proportion of the modified antioxidant powder is 0.3 wt%. The optimal proportion of the foam stabilizer is 0.4 wt%, the optimal proportion of the nano SiO2 particles is 4 wt%, and the optimal proportion of the modified antioxidant is 2 wt%. Different components endow the nano SiO2 modified composite gel foam with different physical and chemical structural characteristics and coal spontaneous combustion prevention performance characteristics, and by adding the nano SiO2 particles and the bentonite modified tert-butylhydroquinone antioxidant, the overall stability and inhibition efficiency of the gel foam are improved.

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 discloses a goaf coal spontaneous combustion early warning system which comprises a plurality of temperature sensors and a plurality of gas detectors arranged in a goaf, and the gas detectors are used for detecting gas components in the goaf; the data acquisition module is connected with the temperature sensor and is used for acquiring temperature data; meanwhile, the data acquisition module is connected with the gas detector and is used for acquiring gas component data; the data acquisition module comprises a signal conditioning circuit and is used for amplifying and filtering an electric signal output by the temperature sensor; the data acquisition module further comprises an A / D converter used for converting an analog signal into a digital signal; the processing module is connected with the data acquisition module and is used for processing the temperature data and generating an early warning signal; the processing module is also used for processing the gas component data and generating an early warning signal in combination with the temperature data; and the early warning module is connected with the processing module and is used for receiving the early warning signal and sending out early warning information. The method has the effect of timely and accurately carrying out early warning on coal spontaneous combustion in the goaf.

The invention discloses an overlapped goaf coal spontaneous combustion and gas symbiosis disaster identification and treatment method, which can accurately obtain an approximate range of a front goaf by combining geological data, a result detected by a transient electromagnetic detection device and a borehole observation instrument, and calculate the pore dimension and the average porosity of the area through a specific algorithm. Then, by taking the grouting hole as the center, a plurality of detection holes with different angles are formed, the directions of the detection holes are different to form a distribution form of continuously diffusing outwards in a spherical shape, and a comprehensive monitoring device is arranged at the final hole position of each detection hole, so that whether data of an underground gas concentration field, a temperature field, a gas pressure field, an air leakage flow field and a crustal stress field are abnormal or not is obtained; according to the method, redundant or complementary information of a plurality of monitoring devices at different positions in space or time is comprehensively and consistently explained or described on the whole goaf, so that the disaster condition can be identified and judged more accurately, and the construction safety in the whole tunneling or stoping process can be guaranteed.

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 discloses a fire preventing and extinguishing material for inhibiting spontaneous combustion of a coal pile and a construction method thereof, and belongs to the technical field of coal spontaneous combustion prevention and control. The fire preventing and extinguishing material is composed of fly ash slurry and composite colloid, the adding proportion of the composite colloid in the fly ash slurry is 0.3-1 wt%, and the fly ash slurry is composed of the following components in parts by weight: 80-100 parts of fly ash and 100 parts of water; the composite colloid is composed of the following components in parts by weight: 20-50 parts of a high-molecular polymer, 10-15 parts of active silica powder, 3-5 parts of a cross-linking agent, 2-5 parts of a composite alkali activator and 1-2 parts of a water-retaining agent. During construction, coal ash slurry is prepared firstly, then the composite colloid is added in proportion, and the mixture is sprayed to the surface of a coal pile. According to the fire preventing and extinguishing material disclosed by the invention, the coal ash is used as a main raw material, local materials are used, and the fire preventing and extinguishing material is matched with the high-water-retention composite colloid, so that the fire preventing and extinguishing material has good diffusion filling performance in a coal body and good covering and plugging performance on the surface of the coal body, and the effects of locking water, cooling, solidifying slurry and isolating oxygen are achieved.

The invention relates to the technical field of coal mine fire prevention, and particularly discloses a grouting device for preventing and controlling spontaneous combustion of residual coal in a coal mine goaf. The material tank is arranged on the movable frame; the middle bin is communicated with an outlet in the bottom of the material tank; the composite pipe comprises a slurry conveying pipe and an exhaust pipe; and the end comprises an exhaust hood and a grouting head which are coaxially distributed. In the grouting fire prevention process, gas in the goaf is exhausted into the middle bin through the exhaust pipe, negative pressure in the middle bin can be prevented, pressure fluctuation in the slurry pumping process can be reduced through the stability of air pressure, slurry pumping is smoother, and it is ensured that slurry can be continuously and smoothly pumped out; meanwhile, flammable gas containing methane and the like or other poisonous gas exhausted from the goaf is stored through the middle bin and prevented from being directly exhausted into the atmosphere, environmental pollution and safety risks are reduced, and follow-up collection of the gas in the goaf is facilitated.

To disclose a similar experimental system and method to measure dynamic progression characteristics of spontaneous ignition of coal in the field of coal mining.SOLUTION: A gas supply system blends nitrogen and oxygen into dried air; a coal sample tank adds coal samples based on similar order and span size when a roof collapses and fills a goaf; a programmable heating furnace adjusts a furnace temperature and sets a programmed heating rate; a gas chromatograph analyzes gas samples collected from an exhaust port of a dynamic sample-adding coal tank, and records the temperature of the coal samples collected by a temperature sensor after completing addition of the coal samples; and a data collection host obtains the temperature of coal, exhaust components, and concentrations during a dynamic sample addition process, calculates oxidation oxygen consumption rate, heat generation rate, etc. using an oxidation kinetics method, and determines dynamic rules and progression of spontaneous ignition of residual coal in the goaf during a dynamic mining process. As a result, it is possible to measure dynamic progression characteristics of spontaneous coal ignition by dynamically adding the coal samples.SELECTED DRAWING: Figure 2

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 relates to the technical field of coal mining, and provides a goaf coal spontaneous combustion dynamic early warning method and system based on optical fiber temperature measurement. The method comprises the following steps: preprocessing time sequence temperature original data of different preset temperature measurement points in a goaf obtained in real time based on distributed temperature sensing optical fibers arranged in the goaf, and predicting and evaluating the coal temperature of each temperature measurement point in the goaf in a future time period based on an STGCN goaf temperature prediction model according to time sequence temperature standard data of the goaf; thirdly, generating a temperature cloud picture of the goaf according to the predicted coal temperature value of each temperature measurement point in the goaf in the future time period, and performing iterative updating on the temperature cloud picture based on a gradient optimization algorithm to determine the maximum coal temperature value in the goaf; and finally, calculating a trend fluctuation index of a temperature point corresponding to the maximum coal temperature value in the goaf, and performing dynamic early warning on coal spontaneous combustion in the goaf according to the trend fluctuation index and the corresponding maximum coal temperature value on the basis of a predetermined early warning grade triggering condition.

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 present invention relates to the field of coal mine concealed fire zone detection, in particular to a coal spontaneous combustion downhole detection system and method based on a self-potential method. The coal spontaneous combustion downhole detection system comprises a self-potential detection apparatus and a self-potential processing apparatus; the self-potential detection apparatus comprises measuring electrodes, a reference electrode and metal anchor rods; the measuring electrodes are arranged on a top plate of a goaf roadway, are fixed to the metal anchor rods, and are in wireless connection with the reference electrode through the metal anchor rods; the self-potential processing apparatus comprises a data processing sensor for processing potential data and an imaging sensor for converting data into images; and the measuring electrodes and the reference electrode are in wireless connection with the data processing sensor.

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 coal mine goaf spontaneous ignition joint detection experiment device and application thereof. The device comprises a goaf spontaneous ignition simulation experiment unit, a goaf sinking compaction simulation experiment unit, a fire source positioning unit and a tracer gas goaf air leakage channel analysis unit. All the simulation experiment units achieve information collection and simulation of different purposes, and after all the units are coupled, experimental research on goaf coal spontaneous combustion influence factors is achieved. According to the joint detection experiment device for spontaneous combustion in the coal mine goaf, a coal spontaneous combustion area is positioned according to the characteristic that waves respond sensitively to density change in a coal body: an ultrasonic probe is adopted to capture cracks after coal spontaneous combustion to form sound waves, and the propagation speed and the propagation time are obtained through signal processing and a display; three-dimensionally capturing and positioning a coal spontaneous combustion area; a temperature sensor assists in positioning the position of an ignition area; by injecting tracer gas krypton, an air leakage channel is determined, and the influence of the air leakage channel on coal spontaneous combustion is judged.

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 goaf coal spontaneous combustion intelligent monitoring and flame retardant integrated system and method, a gas collection device is used for collecting gas at different positions in a goaf and sequentially conveying the gas at different positions to a coal spontaneous combustion detection system; a gas detection module in the coal spontaneous combustion detection system can detect data of flowing gas and feed the detection data back to a coal spontaneous combustion judgment module for analysis and processing to obtain whether coal spontaneous combustion occurs at each position in a goaf and divide the distribution condition of three spontaneous combustion zones in the goaf; if the coal spontaneous combustion condition exists according to the analysis result, the intelligent control system opens a plurality of grouting nozzles around the position and starts a grouting pump, and flame-retardant slurry is injected into the position; according to the invention, spontaneous combustion three-zone distribution and coal spontaneous combustion occurrence conditions can be intelligently and accurately monitored in real time, and according to the coal spontaneous combustion occurrence conditions, accurate positioning and rapid and automatic flame retardant process of goaf coal seam spontaneous combustion are realized, so that the safety of coal mining is guaranteed.

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 goaf gas collecting device and method, and belongs to the technical field of goaf gas monitoring. The device comprises a special pipeline, an integrated air extractor and a transmission screw rod, the special pipeline is arranged on the side, close to the goaf, of the air inlet crossheading and the air return crossheading of the working face, it is guaranteed that the integrated air extractor moves in the special pipeline, and the integrated air extractor moves into the goaf through rotation of the transmission screw rod to collect air in the goaf. Through the device and the method, gas at different positions of the goaf can be collected at any time, goaf gas collection efficiency is improved, goaf coal spontaneous combustion degree can be analyzed in real time, and goaf coal spontaneous combustion prevention and control levels are improved.