327 results about "WATER HAZARDS" patented technology

The invention discloses a coal mine hole fracture seepage analysis and prediction system based on a deep learning model, and relates to the technical field of coal mine safety. Comprising a geological data acquisition and three-dimensional model construction module, a data preprocessing and cleaning module, a deep learning feature extraction and training module, a graph neural network optimization and topology modeling module and a seepage prediction and risk assessment module, geological exploration data and hydrogeological information of a coal mine area are obtained, and a three-dimensional geological model containing pores and fractures is constructed. Through the deep learning method combining the convolutional neural network and the graph neural network, the accuracy of coal mine fracture seepage analysis is remarkably improved. The CNN extracts local features, the GNN optimizes a global topological structure, and the seepage prediction precision is improved. The model not only can accurately predict a seepage path, but also can evaluate safety risks, help mine managers to identify hidden dangers in advance, reduce water damage and gas accumulation accidents, and optimize mine safety management.

The invention provides a mine water disaster monitoring and early warning method and system based on multi-source heterogeneous data fusion, and the method comprises the steps: collecting multi-source data of a mining area, carrying out the time-space alignment of the multi-source data, and generating a data set, the multi-source data comprising remote sensing data; preprocessing the data, inputting the preprocessed data into a multi-modal fusion network, and extracting surface water body distribution, lithologic permeability, underground water level and structural fracture characteristics to obtain a three-dimensional hydrogeological static model; the hydrological numerical model based on physical driving is coupled with the static model, and the dynamic model is used for simulating the dynamic change of an underground water flow field and a pollutant diffusion path; based on the dynamic model updated in real time, multi-target collaborative evaluation is carried out to evaluate the mining area water resource, ecological and social collaborative effect; and calling an unmanned aerial vehicle to inspect a leakage position or a settlement position in the hydrogeological risk map based on a multi-target collaborative evaluation result. According to the method, the prediction accuracy is improved through the multi-source data.

The invention discloses a coal mine geological disaster and environment early warning method based on multi-source monitoring data fusion. The method comprises the following steps: determining a mine water disaster early warning evaluation index, a mine pressure disaster early warning evaluation index and a geological environment evolution early warning index; a corresponding first early warning threshold value is set; data are acquired and preprocessed, and a mine water disaster early warning model, a mine pressure disaster early warning model and a geological environment evolution early warning model are established; collecting new data to carry out iterative optimization on the model, and correcting an early warning threshold value; and integrating the iteratively optimized models into an early warning index system library, collecting and fusing various monitoring system and production dynamic data of the mine, and inputting the data into the early warning index system library for coal mine geological disaster and environment early warning analysis. The method solves the problems that in the prior art, multi-source monitoring data cannot be fully fused, an early warning model lacks self-learning and optimization capabilities, and an early warning threshold cannot be dynamically adjusted along with the change of a mining environment.

The invention relates to the technical field of coal mine safety, in particular to a coal mine water disaster prediction system based on a data analysis and machine learning technology, which comprises a multi-source data acquisition module, a dynamic data preprocessing module, a multi-modal feature engineering module, an integrated prediction model construction module and a prediction optimization control module, the multi-source data acquisition module fuses geological and hydrological data, micro-seismic data and equipment working condition data, the dynamic data preprocessing module constructs a noise feature library and realizes noise elimination and data standardization, and the multi-modal feature engineering module extracts dynamic causal feature vectors of a water diversion coefficient change rate and a micro-seismic energy release rate based on convergence cross mapping; the integrated prediction model construction module fuses and outputs a water disaster risk probability value through a meta-learner; and the prediction optimization control module triggers a sampling rate adjustment and disaster response linkage mechanism according to the risk probability value. The method has the advantages of high reliability, high adaptability and timely response, and is suitable for real-time prediction of water disasters in a complex coal mine environment.

The invention discloses a coal mine water disaster prevention and control system and method based on artificial intelligence. The system comprises a data acquisition module, a data transmission module, a data preprocessing module, a geological modeling module, a water disaster prediction module, a risk assessment module, an artificial intelligence decision module, an equipment control module, an emergency response module and a data management updating module. Sufficient time is won for prevention and treatment work, and the possibility of accidents is effectively reduced; early warning is realized, and the timeliness and accuracy of disaster prevention and control are remarkably improved; sufficient time is won for prevention and treatment work, and the possibility of accidents is effectively reduced; personnel safety evacuation and smooth rescue work are powerfully guaranteed, and disaster loss is reduced to the maximum extent; the efficiency and success rate of prevention and control work are improved, and economic losses and casualties caused by water disasters are reduced; the control effect and the system performance are continuously improved, and the long-term safety production requirement is met.

The invention belongs to the technical field of safe mining of coal mines, and relates to a hydraulic fracturing roof-cutting entry retaining method based on a crushing agent, which comprises the following steps of: calculating to obtain a target fracturing horizon height h of roof-cutting entry retaining according to a working face height M and a residual crushing coefficient KZ of a roof; calculating the crack initiation pressure P of a target fractured position of the roof-cut entry retaining according to the rock stress P * and the tensile strength R of the rock at the fractured position of the roof-cut entry retaining; drilling is conducted according to the drilling position, the drilling length L and the drilling angle alpha; the prepared BC-efficient soundless cracking agent flowable pasty slurry is injected into a drill hole through a hydraulic fracturing system and is fractured at a target fractured layer, and after the BC-efficient soundless cracking agent flowable pasty slurry is subjected to standing reaction, the drill hole is fractured for multiple times in a single-hole retreating mode. The problems that a large amount of water resources are consumed, the rock permeability is possibly increased due to high-pressure water injection, and mine water disaster hidden dangers are caused are solved.

The invention provides a burnt rock aquifer water disaster prevention and control design method which comprises the following steps: exploring mine geological and hydrogeological conditions, determining burnt rock distribution characteristics, an aquifer range and a water-rich abnormal region, and constructing a burnt rock aquifer water diversion characteristic judgment system; on the basis of the residual bursting coefficient of the burnt rock, a calculation formula of the development height of the burnt rock stratum water-flowing fractured zone is corrected, and the development height of the working face mining overlying strata water-flowing fractured zone is accurately judged through the formula; constructing a burnt rock water-bearing layer risk evaluation system according to the relationship between the burnt rock water-bearing layer position and the development height of the water-flowing fractured zone; according to the danger evaluation system, the'intercepting-dredging-building 'burnt rock aquifer layering treatment method is provided. Compared with traditional aquifer water disaster treatment, the method has the advantages that the aquifer damage of the burnt rock can be judged more accurately, layered treatment is more economical and efficient, and the method is of great significance to prevention of underground water inrush accidents and underground water loss and realization of safe, efficient and green mining of coal.

Disclosed in the present invention is a method for draining water of coal mine goafs by crossing an adjacent goaf. An applicable environment of the method comprises a first goaf, a second goaf and a third goaf which are successively arranged on a side of a tunnel, directional drilling mechanisms being provided between the tunnel and the second goaf and between the tunnel and the third goaf, and the directional drilling mechanisms penetrating through a coal seam floor located at the bottom of the goafs so as to communicate with the second goaf and the third goaf. Directional holes comprise a first directional hole and a second directional hole, the first directional hole leading to the second goaf, the second directional hole leading to the third goaf, and a sleeve structure being mounted in the first directional hole. The present invention uses directional drilling, and the directional holes penetrate into and out of the coal seam floor, so as to cross the adjacent goaf, thus increasing the range of explored and drained goafs and the hole length so as to drain in advance water accumulated in the remaining goafs that cannot be drained in a traditional coal mine drilling mode. The present invention can be popularized and used in the field of coal mines to solve the present threat of goaf water to coal mine production.

The invention provides a multi-source information fusion mining overlying strata high separation layer water disaster prediction evaluation method, which comprises the following steps of: constructing a coal mining, overlying strata structure index, strata space occurrence and cretaceous system aquifer prediction index system according to related data of hydrogeology, engineering geology and coal mining in a research area; through the separation water disaster multi-source information fusion prediction evaluation model of the subjective-objective weight combination of the analytic hierarchy process, the entropy weight method and the CRTIC method, accurate prediction evaluation of the separation water disaster is realized, the error of the traditional separation water disaster prediction result is reduced, the water disaster threat of the stope face is greatly reduced, a guarantee is provided for safe mining of a coal mine, and the economic benefit of the coal mine is improved. And coal mine water disaster prevention and control measures and safety production are effectively guided.

The invention provides a dynamic adjustment method for a microseismic early warning index threshold of separation water damage. The method specifically comprises the following steps: collecting related data of hydrogeology, engineering geology and coal mining in a research area; establishing a research area separation layer water disaster prediction index system; constructing a study area separation layer water disaster prediction model; microseismic data in the coal seam mining process are collected; establishing a microseismic parameter early warning index system of the separation layer water disaster in the research area; setting an initial value of a microseismic parameter early warning threshold value; dynamically adjusting a microseismic parameter early warning threshold value by adopting a machine learning calculation model; according to the method, the possibility of occurrence of the separation water disaster can be evaluated more accurately. The dynamic adjustment mode can adapt to the characteristics of bed separation water disasters in different areas and different mining stages, and the reliability and effectiveness of early warning are improved.

The invention discloses a method for preventing and controlling floor water inrush in the technical field of mine water disaster prevention and control, which comprises the following steps of: 1, analyzing mine conditions: knowing geological conditions of a water-resisting layer and a water-bearing layer, and determining underground water conditions; 2, regional evaluation: probing the water yield property of the aquifer, and dividing the working face into an abnormal region and a dangerous region; 3, drilling is carried out, wherein hole verification area division is carried out, the water quality type is determined, and the water pressure is measured; 4, drainage and pressure reduction, wherein drainage is conducted in the main hole according to the water inrush coefficient, and meanwhile water pressure and water pumping amount fluctuation are monitored in the whole process; 5, observation holes are formed and monitored, specifically, a plurality of observation holes are additionally formed in one side of the main hole, and water level changes are monitored; sixthly, grouting reinforcement is conducted, specifically, grouting reinforcement is conducted at the main hole, and meanwhile the water pumping power is lowered; and 7, reinforcing result verification: evaluating the reinforcing effect. The method is easy to operate, and the ideal bottom plate reinforcing effect is achieved by conducting drainage pressure reduction and grouting reinforcement at the same time and arranging the observation holes.

The invention discloses a neural network-based coal mine drainage and drainage quantity prediction and drill site optimization design method, which comprises the following steps of: deeply analyzing stratum characteristics such as sand shale proportion and lithology category by introducing a space occurrence characteristic quantitative model and a convolutional neural network; historical drainage water volume data and real-time monitoring information are dynamically learned in combination with the bidirectional long-short-term memory network, and the prediction precision is remarkably improved. Meanwhile, a drill site adaptive optimization module is constructed based on a reinforcement learning algorithm, and the drill hole spacing, depth and layout mode are automatically generated according to a prediction result. According to the method, sand shale category division and space occurrence characteristics are incorporated into a neural network input layer, and the problem that lithology heterogeneity modeling is insufficient in a traditional method is solved; and through dynamic coupling prediction and design links, real-time optimization of drilling parameters is realized, and the universality and flexibility of the technology are remarkably improved. The invention provides an efficient, accurate and economical technical means for coal mine water disaster prevention and control.

The invention discloses a mine water inflow prediction method and system based on adaptive graph convolution, and relates to the field of coal mine safety. Comprising the steps of making a clustering data set based on historical data; training a water burst scene classifier by using the clustering data set; using the trained water burst scene classifier to identify historical data to obtain different water burst types corresponding to mine water burst; based on different water inflow types and the clustering data set, respectively training to obtain a water inflow prediction model; identifying the new water inflow association index data by using the trained water inflow scene classifier to obtain a target water inflow type; and predicting the new water inflow data by using the target water inflow prediction model to obtain the water inflow. According to the method, a unique adaptive graph convolution formula and a hydrogeological attention mechanism are introduced, the prediction capability and scene adaptability of the prediction model are improved, working face water inflow prediction under different hydrogeological conditions is considered, and important technical support is expected to be brought to coal mine water disaster prevention and control.

The present invention relates to the technical field of coal mining, in particular to a method for constructing an artificial water guide channel through drainage boreholes in a roof aquifer by means of pulse fracturing. The method involves arranging drainage boreholes and using pulse fracturing to pre-form an artificial water guide channel in a sandstone fracture aquifer through the arranged drainage boreholes, thereby improving the permeability of dense and intact sandstone rock masses; the artificial water guide channel formed by the drainage boreholes in the sandstone fracture aquifer connects discontinuous water-bearing areas and water-rich areas, such that roof sandstone fracture water‌ is guided to the drainage boreholes through the artificial water guide channel, thereby achieving effective drainage of the boreholes and expanding the drainage radiation range of a single borehole. The present invention not only avoids arranging excessive drainage boreholes and remarkably improves the drainage efficiency of exploratory drainage holes, but also achieves an advanced drainage function in a stoping process. By means of the method, mine water disasters can be effectively controlled even under unfordable geological conditions, thereby guaranteeing safe production at mines.

The invention belongs to the technical field of geological exploration, and particularly discloses a water inrush risk evaluation method and system based on while-drilling image and spectrum fusion, and the method comprises the steps: recognizing a risk range if water flows out in a drilling process, and determining a water inrush risk level based on the risk range, the solubility of surrounding rock, and the height difference between the underground water level and a laneway bottom plate; if no water flows out, the water inrush danger level of each position of the tunnel face is determined based on the surrounding rock solubility and the height difference between the underground water level and the laneway bottom plate; obtaining the total number of fractures per unit area, a color abnormal area and the water content for each sudden water gushing danger level area; and further determining the risk level of each position in each sudden water gushing danger level area based on the total number of unit area fractures at different positions in each sudden water gushing danger level area, whether the color is abnormal or not and the water content of the rock mass. According to the invention, the water inrush risk can be found in time, early warning is carried out, and a basis is provided for taking emergency measures in time.

The invention relates to the technical field of tunnel engineering safety prevention and control, and provides a gypsum rock tunnel water disaster risk evaluation and prevention and control scheme selection method which comprises the following steps: step 1-3, based on parameters such as rock mass structural integrity, stratum karst development degree, water yield property, groundwater corrosivity, gypsum rock mineral composition, expansibility and corrosion property, establishing a grading evaluation system, dividing corresponding grades and determining influence indexes R1-R8; 4, adopting an AHP method, an entropy weight method and a CRITIC method to perform multi-dimensional weight calculation on the subjectivity, objectivity and conflict influence indexes, correcting abnormal weights in combination with expert experience and verification rules, generating a comprehensive score, dividing risk grades, and matching graded prevention and control measures; and 5, optimizing and adjusting prevention and control measures in real time through a parameter risk level dynamic judgment and construction method matching mechanism. According to the method, multi-source parameter dynamic empowerment can be fused, and a full-life-cycle prevention and control method with accuracy, timeliness and self-adaptability is provided for tunnel engineering.

The invention provides a coal mine roof sandstone water long directional hole and short straight hole combined drainage prevention and control method, and belongs to the technical field of coal mine water disaster prevention and control. The method comprises the following steps: finely exploring geological and hydrogeological conditions, obtaining hydrogeological characteristics of an aquifer, and calculating static reserves and dynamic replenishment; designing and constructing a long directional hole, and determining a track parameter and a drainage amount; short straight holes are designed and constructed, a low-resistance abnormal area is arranged in a densified mode, and the drainage amount and the drawdown are calculated; constructing a multi-objective optimization model, and determining an optimal drilling position combination; partition drainage control is conducted based on the optimization scheme, the drainage speed and flow are dynamically adjusted, and grouting plugging is conducted on the waterless drill hole; the water inflow is monitored, and the drainage effect is judged according to the attenuation rate. Safe and efficient drainage of roof sandstone water is achieved, the mine water disaster risk is effectively reduced, and safe production of a coal mine is guaranteed.

The invention discloses a method for selecting a post-mining grouting position for thick-layer roof sandstone water disasters. The method comprises the following steps: (1) finely probing a geologic body of a to-be-grouted area; (2) representing the development degree of the native fracture and the water inflow based on a water inflow observation result in the working face pushing and mining process in combination with the development degree of the native fracture, and evaluating the development condition of the water guide channel of the working face; (3) predicting the development height of the water flowing fractured zone; (4) selecting a grouting layer position; and (5) selecting a grouting position. The method disclosed by the invention has the following beneficial effects: 1, fine exploration work is carried out, comprehensive and accurate cognition of geological conditions is realized, and a foundation is built for subsequent work; 2, the grouting layer position and the plane position are selected scientifically and reasonably, blind selection is effectively avoided, and the water control and roof reinforcement effects are guaranteed; errors and waste are reduced, and construction efficiency and quality are improved.

The invention relates to the technical field of coal mine safety monitoring, and particularly provides a coal mine water disaster source intelligent identification system fused with a multi-source sensor. The system adopts a hierarchical architecture with edge intelligence and center decision collaboration, comprises an edge sensing and computing node, a region fusion decision node and a ground intelligent analysis center, and realizes real-time identification and early warning of water disaster risks through local feature extraction, multi-source information fusion and global situation research and judgment. According to the invention, the network load is reduced, and the autonomous emergency capability and the overall reliability of the system during communication interruption are improved.

The invention discloses a coal seam roof pre-grouting optimization method based on data driving. The coal seam roof pre-grouting optimization method comprises the following steps: S1, fine exploration and original information extraction of a geologic body in a research area; s2, construction information extraction; s3, performing grouting project classification by adopting a DBSCAN clustering algorithm; s4, establishing a quantitative relation model based on a classification result; the method is suitable for the technical field of coal water prevention and control, multi-source geological exploration data and dynamic grouting engineering parameters are fused, a geological-engineering feature coupling model is established, a nonlinear association rule of a geological structure and grouting response is quantitatively analyzed based on a machine learning algorithm, and the method has the advantages of being high in practicability and high in reliability. And a multi-objective collaborative optimization system is developed, and intelligent matching of grouting parameters, accurate prediction of the construction effect and dynamic optimization of an engineering scheme are achieved. Finally, the technical purposes of improving the historical data utilization rate, enhancing the grouting and water plugging success rate and reducing the engineering cost are achieved, and scientific decision support is provided for coal mine water disaster prevention and control.

The invention discloses a coal mine well disaster identification method based on a deep learning algorithm and related equipment. The method comprises the following steps: acquiring laser scanning point cloud data, geological drilling data and geophysical prospecting data of a coal mine well; dividing the target area into a plurality of three-dimensional grid units, and performing interpolation on the three-dimensional grid units to obtain a first three-dimensional geologic model; adding rock stratum and coal seam parameters into the first three-dimensional geologic model to obtain a second three-dimensional geologic model; associating the second three-dimensional geologic model with the big data model to obtain monitoring data of the current season; performing feature extraction on the current season and the monitoring data to obtain a multi-dimensional time sequence; inputting the multi-dimensional time sequence into a deep learning model to obtain a water level predicted value; the water level predicted value is input into the big data model for correction; performing spatial combination on the corrected water level predicted value and the second three-dimensional geological model to obtain a dynamic three-dimensional geological model; and based on the dynamic three-dimensional geologic model, determining the probability of water damage of the coal mine well.

The invention belongs to the technical field of coal mine green mining and disaster prevention and control, and particularly relates to a caving area gangue grouting and filling method for recycling underground coal mine water resources. And zero emission and efficient cyclic utilization of water resources are realized. The coal gangue is used as a main filling aggregate and is directly digested underground, so that the problems of land occupation and environmental pollution caused by ground stockpiling are avoided, and harmless and large-scale treatment of the coal gangue is realized. A water treatment system and a gangue treatment system are combined into a whole, the comprehensive operation cost of a mine in the aspects of water disaster prevention and control, gangue treatment and outsourcing of a water source is remarkably reduced through a cyclic operation mode, and the cost benefit is high. Accurate detection and effect verification of the previous and later ponding areas are carried out through a geophysical prospecting means, and measures such as directional drilling and safety monitoring are combined, so that controllability and safety of the whole operation process are ensured, and the safety and reliability are high.

The invention discloses a coal mine tunnel shield excavation-following multi-frequency alternating current parallel advanced detection method and system, and the method comprises the steps: arranging a three-direction data observation system in a tunnel excavation direction; collecting a three-direction potential difference amplitude value and a three-direction potential difference phase value for the arranged three-direction data observation system by adopting a multi-frequency pseudo-random galvanic couple source emission mode; the obtained three-direction potential difference amplitude value and the potential difference phase value are sent to professional software based on a Cole-Cole model for inversion, and a three-dimensional apparent resistivity image and a three-dimensional apparent charging rate image are obtained; according to the method, the problems that a traditional advanced detection method is insufficient in space positioning of a geologic body and detection is carried out while excavation under the tunnel shield condition are solved, and technical support is provided for tunnel shield excavation-while-excavation water disaster detection.

The invention discloses a multi-dimensional comprehensive evaluation method for permeability resistance of overlying strata of a working face, and belongs to the technical field of mine engineering and geological safety evaluation. 12 types of core factors such as rock strength, rock core quality, physical and mechanical properties of rock mass, hydrological properties and mining influence characteristics are integrated; a full-process evaluation framework of data acquisition, index system construction, weight distribution, comprehensive modeling and verification optimization is constructed, an analytic hierarchy process and an entropy evaluation method are coupled to determine index weights, a dynamic evaluation model is constructed in combination with a fuzzy mathematics theory, and accurate classification and risk early warning of the permeability resistance of the overlying strata are realized. According to the method, through comprehensive analysis of a plurality of factors, the accuracy of overlying strata permeability resistance evaluation can be improved, so that the underground water permeation path and the permeation amount are predicted more accurately, the uncertainty is reduced, the comprehensiveness and the accuracy of evaluation are remarkably improved, and a scientific basis can be provided for mine water disaster prevention and control and safe mining.

The invention provides a coal mine underground goaf water disaster prevention and control and monitoring early warning method, and relates to the technical field of water disaster prevention and control and intelligent monitoring in coal mine engineering. The method comprises the steps that physical parameters, used for reflecting the water disaster evolution process, of a goaf monitoring area are obtained; constructing a three-dimensional hydrological and mechanical coupling inversion model of the goaf; the physical parameters are input into a three-dimensional hydrological and mechanical coupling inversion model, and the water pressure change rate, the seepage flux change rate and the fracture expansion rate, output by the three-dimensional hydrological and mechanical coupling inversion model, of the goaf are obtained; calculating a water disaster disturbance risk value of the goaf according to the water pressure change rate, the seepage flux change rate, the fracture expansion rate and a preset water disaster disturbance risk function; and according to the water disaster disturbance risk value and a preset risk level division threshold, determining a risk level of the water disaster disturbance risk value and calling an early warning strategy corresponding to the risk level. According to the technical scheme disclosed by the invention, the water disaster prediction and early warning capability is improved.

This application provides an intelligent prediction method and early warning system for coal mine water hazards based on artificial intelligence, which relates to coal mine safety technology. In this solution, the computer device inputs the old kiln water monitoring data within the first preset time period before the current moment uploaded by the sensing layer device into the old kiln water hazard prediction model for prediction processing, and obtains the predicted data of the water inflow in the working face within the second preset time period after the current moment to determine whether an old kiln water hazard accident will occur. By applying this method, it is possible to achieve high-precision prediction of old kiln water hazard accidents in the coal mine area to be predicted, thereby improving the safety level of the coal mine.

The invention discloses a construction method for draining underground goaf water through ground directional drilling, and relates to the technical field of coal mining. The method comprises the following steps: determining a shallow goaf water target area 1; determining a deep water discharge target area 2; directional drilling construction is conducted; establishing a dynamic monitoring and early warning system; and carrying out cooperative treatment on roadway tunneling. According to the method, an upper goaf and a lower goaf are communicated through a directional drilling technology, gob water in the upper goaf is drained into the lower goaf through a drilling channel, and the gob water is drained in advance according to plans and steps by comprehensively applying various technical means such as ground directional drilling, casing pipe underneath arrangement, goaf penetrating and water level monitoring. Compared with a traditional treatment method, the method not only can effectively avoid safety risks such as water burst out-of-control and abnormal gas emission, but also can avoid resource waste caused by the fact that coal resources cannot be recovered.

According to the roof coal measure aquifer post-mining partition grouting water-resisting layer reconstruction method and the related equipment provided by the invention, for the post-mining coal seam roof water disaster treatment problem, accurate analysis of coal seam roof rock stratum hydrogeological characteristics is realized by comprehensively considering the geological parameters and the stratum distribution parameters of the target mining area. Then, the development height of the water-flowing fractured zone is accurately determined by using a distribution characteristic algorithm and a numerical simulation algorithm, and then the correlation between the water-flowing fractured zone and hydrogeological characteristics is deeply analyzed through a distribution relation algorithm, so that the difference of different geological conditions can be fully considered; therefore, grouting treatment is carried out according to the target grouting treatment strategy of the mined coal seam roof determined based on the distribution relation, the pertinence of water disaster treatment can be remarkably improved, the problem that the grouting treatment effect is poor due to complex geological conditions is solved, and the water disaster risk of the coal seam roof is effectively reduced.

The utility model discloses a coal seam roof water diversion fissure zone probing device, which relates to the technical field of coal seam roof water disaster prevention and control and comprises a vehicle-mounted seat, a square brake roller arranged below the vehicle-mounted seat, a support plate fixedly mounted in the middle of the vehicle-mounted seat, a display screen mounted in front of the support plate and a probing component arranged on the rear side of the support plate. The probing assembly is fixedly installed on the vehicle-mounted seat, the probing assembly comprises an installation seat, a driving motor and a winding wheel, and a measuring scanner is fixedly installed on the side, corresponding to the supporting plate, of the installation seat. Water is injected into the plugging section through the water pump and the water filling pipe, the water flows into the drill hole through the through hole, the change condition of the vertical leakage water amount of the stratum is obtained through calculation, and the development height of the water flowing fractured zone of the coal seam roof is researched by analyzing the leakage water amount and the water level change condition of the vertical different-depth stratums of the Luhe group in the drill hole so as to guarantee that the water flowing fractured zone can meet the exploration requirement. And the safety during recovery is improved.

The invention discloses a control roof drainage method for multiple coal faces in a monocline structure area, which combines the characteristic that the water level of a monocline structure is gradually increased along with the burial depth, and adopts a layered and graded control drainage strategy by utilizing the burial depth difference of the working faces, and comprises the following steps of: firstly, controlling the drainage water level at a preset water head threshold value; ensuring that the water level is lower than the elevation of the bottom plate of the first mined shallow working surface, and meeting the safe mining condition of the shallow working surface; and after mining of the shallow working face is completed, the drainage amount of the drill hole is gradually increased, the drainage level is reduced, the mining requirement of the next deep working face is met, and sequential mining of multiple working faces from shallow to deep is achieved in the same manner. According to the method, the drainage drill holes are formed in the low-position roadway at a time, roof water disaster prevention and control of all the working faces are achieved in order in a controlled drainage mode, the dynamic water inflow of the working faces can be reduced, and remarkable economic, safe and environmental benefits are achieved.