293 results about "Subsidence" patented technology

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 relates to the technical field of geological exploration, and discloses a water-rich sandy stratum tunnel base settlement prediction method and system, and the method comprises the steps: constructing a multi-source cooperative exploration system; deploying a sanding-seepage-stress coupling model at an edge computing node, and mining the relevance of data of different dimensions through a space-time attention fusion network; based on the prediction matrix and mineral exploitation working condition parameters; when the predicted settlement exceeds a safety threshold value or the sanding expansion rate is abnormal, a high-precision remeasurement mechanism is triggered, and a cross-hole radar and acoustic logging combined verification module is activated; and iteratively optimizing coupling model parameters by adopting a transfer learning algorithm through deviation analysis of measured data and a prediction result. According to the method, a scientific basis is provided for stratum stability evaluation and prevention and control measure formulation in the mineral exploitation process, and the probability of engineering risks caused by base settlement of the water-rich sandy stratum is effectively reduced.

The invention relates to the technical field of coal mining safety monitoring, and discloses a coal mining subsidence space-time evolution intelligent prediction method, which comprises the following steps: acquiring multi-dimensional geological dynamic data such as surface displacement, underground water pressure and rock stratum stress of a coal mining area, extracting a space-time characteristic sequence by using a GCLSTM algorithm, and calculating a space-time fluctuation coefficient; extracting a principal component vector through spectral decomposition, mapping to obtain a space-time correlation weight, dynamically correcting an original prediction value to generate a fusion prediction value, and judging a subsidence space-time evolution trend; constructing a three-dimensional subsidence curved surface model to identify a high-risk area and generate graded early warning; and establishing a joint optimization model to solve an optimal mining path, and generating a subsidence risk minimization scheme. According to the method, intelligent analysis of multi-dimensional data fusion and spatial-temporal characteristics is realized, the prediction accuracy is improved, an effective means is provided for coal mining subsidence prevention and control and safe mining, and the method has a remarkable engineering application value.

The invention provides a sedimentation inversion prediction method based on water-soil coupling and well reservoir dynamic feedback, which comprises the following steps: by collecting geological, hydrological, deformation monitoring and engineering construction data, constructing a three-dimensional geologic model containing a shallow unconsolidated formation and an underlying bedrock layer, and setting physical boundary constraints; establishing a water-soil bidirectional coupling model, integrating a seepage model and a deformation model, and realizing bidirectional coupling through a dynamic feedback mechanism; calculating the leakage / extraction amount based on the dynamic water level in the well and the hydraulic long pipe model, dividing the layer leakage amount and feeding back the layer leakage amount to the seepage model; model parameters are inversed and calibrated in combination with actually measured data; and finally, predicting a settlement spatio-temporal evolution process based on the calibration model, and generating a risk prevention and control scheme in combination with building settlement indexes. The method has the advantages that comprehensive information is obtained through multi-source data fusion, the deformation mechanism model considering the water-soil bidirectional coupling and the well storage effect is established, and the defects in multi-factor coupling, boundary condition processing and parameter inversion in the prior art are overcome.

The invention relates to the technical field of mining subsidence prediction, and discloses a complex working face mining subsidence prediction method and system.The complex working face mining subsidence prediction method comprises the steps that a geological feature coding network is constructed, and complex geological information is converted into digital feature vectors; constructing a subsidence parameter inversion model based on deep learning; the problem of insufficient new mining area data is solved by applying a transfer learning framework; analyzing and optimizing model performance through parameter sensitivity; efficient subsidence calculation is realized based on a non-uniform block model; according to the method, the limitation that a traditional subsidence prediction method depends on empirical parameters is broken through, the prediction precision under the complex geological condition is improved, the dependence on monitoring data is reduced, the calculation efficiency of a large-scale block model is improved, the multi-working-face superposition subsidence effect can be accurately simulated, and the method is suitable for being popularized and applied. Powerful support is provided for safe mining of mines and environmental protection.

The invention belongs to the technical field of underground engineering intelligent construction, and particularly discloses a shield tunneling performance prediction method and system based on an interpretable BO-LGBM model, and the method comprises the steps: receiving detection data in a shield tunneling process, and determining tunneling parameters, geological parameters and karst parameters based on the detection data, so as to construct an input feature set; constructing an LGBM model, performing multi-stage screening on the input feature set to obtain a comprehensive feature importance sequence, and determining key target features corresponding to model prediction influence according to the comprehensive feature importance sequence; on the basis of key target features, a Bayesian optimization algorithm is used to optimize hyper-parameters of the LGBM model, and a trained BO-LGBM prediction model is obtained; the BO-LGBM prediction model is used for predicting ground surface settlement, tunneling efficiency, specific energy and overexcavation rate of the detection data; and obtaining a performance index based on the trained prediction model so as to evaluate model performance and prediction precision. According to the invention, the model prediction accuracy of the shield performance can be improved.

The invention discloses a coal mine subsidence monitoring method based on multi-source data fusion, and belongs to the technical field of coal mine subsidence monitoring and safety management. Inputting the fused data into the model to automatically identify boundaries and features of the subsidence area; constructing a relationship between surface deformation and underground mining parameters, and obtaining optimal solutions of parameters such as mining depth and the like by adopting Bayesian posterior inversion in combination with MCMC sampling; calculating the volume of the goaf according to the inversion parameters and estimating the mining quantity; and updating the data, and triggering multimode early warning based on the threshold value of the subsidence amount or the rate. The technical problem that the monitoring precision is low due to the fact that a traditional coal mine subsidence monitoring technology depends on a single data source is solved.

The invention relates to a geological disaster change detection method and system based on an improved twin U-Net and a central surrounding double-flow network. According to the method, an improved twin U-Net network is constructed as a feature extraction trunk, and a deformable convolution module is integrated in an encoder to adaptively adjust a receptive field; a central surrounding double-flow network is embedded in a decoding path, detail features are extracted through a central flow path, and a global context is obtained through a surrounding flow path; a feature fusion module is designed to realize double-path feature deep fusion, and a gating attention unit is adopted to calibrate feature response; introducing a contrast feature learning mechanism to reinforce feature space clustering characteristics; multi-modal degradation enhancement training is implemented to improve the robustness of the model; and an objective function containing difference perception loss and feature comparison loss is minimized through end-to-end joint optimization. The method can accurately identify geological disaster change areas such as landslide, debris flow and land subsidence, and has the advantages of high detection precision and strong anti-interference capability.

The invention provides an intelligent prediction method and system for settlement of a TBM penetrating through a pebble stratum, and belongs to the technical field of stratum settlement prediction. The method comprises the following steps: acquiring ground surface monitoring point position information, excavation surface position information and burial depth, inputting the information into a first deep neural network model, and acquiring and outputting tunnel vault displacement, haunch convergence and ground surface settlement; the second deep neural network model takes a position coordinate formed by earth surface monitoring point position information, excavation surface position information and burial depth and earth surface settlement as input, and outputs earth surface elastic modulus and Poisson ratio; obtaining stress-strain components of ground surface settlement, and constructing a control equation and boundary conditions based on the stress-strain components, the elastic modulus and the Poisson's ratio; obtaining prior geological information by using the residual error of the control equation; and by taking the control equation, the boundary condition and the prior geological information as constraint conditions, obtaining a settlement prediction value when the TBM passes through the pebble stratum based on the tunnel vault displacement, and realizing accurate prediction of the settlement of the pebble stratum.

The invention relates to the field of geological exploration, in particular to an intelligent analysis method and system for geological exploration data of a coal mining subsidence area. The invention discloses an intelligent analysis system for geological exploration data of a coal mining subsidence area. The intelligent analysis system comprises a data acquisition module, an underground three-dimensional model construction module, a foundation stability evaluation module, a residual deformation prediction module and a suitability judgment module. According to the method, multi-source data such as drilling data, geophysical prospecting data, remote sensing topographic data, monitoring actual measurement data and geotechnical test data are comprehensively analyzed, a unified underground three-dimensional model is constructed, and the limitation of data isolation of a traditional exploration method is broken through; according to the method, through drilling and geophysical prospecting bidirectional complementary correction and combination of a settlement monitoring sequence and static attributes, a more accurate and comprehensive geological exploration result is provided for a coal mining subsidence area, and the accuracy of foundation stability evaluation and deformation prediction is remarkably improved.

The invention relates to the technical field of a seabed substrate advanced detection device and method for a seabed mining vehicle, and provides a seabed substrate advanced detection device and method for a seabed mining vehicle, which can simultaneously obtain submarine topography and landform and detect multiple parameters of a seabed substrate. The deep sea detection system is matched with a mine car to ensure smooth proceeding of a rear mine car in deep sea bottom detection, and comprises a sea surface data processing system and a frame with the cross section in a structure shaped like a Chinese character'tian ', a master control device, a signal receiver and at least four detection modules arranged in a matrix are arranged on the frame, and the master control device is used for controlling the detection modules. The signal receiver is used for transmitting information of the detection module and the sea surface receiving device; the detection module comprises a side-scan sonar module used for rapidly obtaining the topography and landform in front, a transverse push toothed plate used for cutting into a soil body, a turbidity meter module used for measuring the concentration of suspended particles and dissolved matters in the seabed, and a pressing plate module used for obtaining the bearing capacity and the subsidence index of the seabed sediment.

The invention belongs to the technical field of geological disaster monitoring, and discloses an automatic geological disaster monitoring device and monitoring method. The method comprises the following steps: completing joint monitoring of surface goaf deformation on the ground; for a bent sinking zone, a fissure zone and a caving zone of the goaf, an electrical method system, a micro-seismic monitoring system and a distributed optical fiber sensor are arranged underground, dynamic tracking and monitoring of underground resistivity, fissure zone expansion, caving zone rock mass breaking change and the boundary of the goaf are conducted respectively, and delineation of underground abnormal bodies is completed; and cooperative monitoring: completing cooperative dynamic coupling monitoring of deformation processes of the curved sinking zone, the fissure zone and the caving zone of the goaf. According to the method, the accurate delineation of the underground abnormal body is completed; and dynamic coupling monitoring of ground and underground deformation of the coal mine goaf is realized.

The invention discloses a key layer presplitting settlement control method based on overlying strata fracture angle arrangement. The method comprises the steps that geological mining parameters of a target mine are collected and determined; based on the physical and mechanical parameters of each rock stratum, determining the horizon height of the key stratum in combination with a thick and hard rock stratum judgment criterion; according to coal seam mining parameters and overlying strata lithology, the height of a water flowing fractured zone is judged, and high and low horizon classification is conducted on the water flowing fractured zone by combining the horizon of the key horizon; according to the development law of overlying strata damage along the fracture angle from bottom to top, the presplitting position in the horizontal direction of each layer key layer in the presplitting range is calculated and determined, and full-section directional presplitting cutting is carried out; based on thick and hard rock stratum mining-induced stress distribution characteristics and a damage deformation transmission mechanism, a working face moving boundary and a reduction distance of a building (structure) protection coal pillar after key stratum presplitting are calculated and determined. According to the method, presplitting implementation is guided based on the key layer fracture rule, and a new technical approach is provided for subsidence control of the mining area.

The invention belongs to the field of coal mine underground goaf filling methods, and particularly relates to an ultra-long working face goaf inclined strip filling method. According to the method, a plurality of working faces are taken as a group, and fracturing roadways are arranged outside all the working faces. An inclined fracturing roof cutting area is constructed in the basic roof through the fracturing roadway, and the fracturing roof cutting area is constructed into a caving rock mass with fracturing broken waste rock on the two sides, a roof cutting block in the middle and the two inclined sides adjacent to a complete rock stratum. Then, the top cutting block bodies are used as a grouting diffusion face to conduct grouting on the fracturing broken waste rocks around the top cutting block bodies, and a plurality of inclined supporting strips which have high supporting capacity and are formed by mixing the broken waste rocks, the top cutting block bodies and slurry are formed; and the subsidence of the overlying sandstone group is controlled, and rock burst is prevented. Afterwards, the remaining fracturing drill holes, the remaining top cutting drill holes and the remaining grouting drill holes are used for conducting goaf filling on the follow-up working face in sequence, and therefore the problem that the construction work amount of long drill holes of the ultra-long working face is large is solved.

The invention relates to the technical field of topographic survey, in particular to an InSAR earth surface deformation information detection method and system based on an unmanned aerial vehicle, and the method comprises the following steps: S1, collecting point cloud data of a mining area through a laser radar system carried by the unmanned aerial vehicle, constructing a continuous topographic curved surface, calculating a topographic gradient vector based on the curved surface, and extracting a topographic main gradient direction angle; and S2, based on the terrain gradient vector, the rock mass integrity coefficient of the mining area and the mining direction angle, constructing a physical constraint field for quantifying the terrain sudden change risk and the mining and terrain interaction effect. According to the method, a physical field capable of quantifying fault risks and types is generated by fusing unmanned aerial vehicle laser radar topographic data, a rock mass integrity coefficient and a manual mining direction; according to the method, geological information is changed into beforehand constraint from post-event interpretation, an accurate physical basis is provided for subsequent phase processing, and the situation that the deformation direction is misjudged, for example, settlement is misjudged as uplift, is prevented.

The invention discloses a mining area earth surface three-dimensional deformation monitoring method based on InSAR and a dynamic open subsidence model. The method comprises the following steps: S1, processing InSAR data; s2, establishing a dynamic mining subsidence model; s3, data of the InSAR and the mining subsidence model are combined, and accurate dynamic monitoring of each stage from the initial stage to the stable stage of the subsidence area is achieved; the problems that a traditional probability integral model is only suitable for static analysis under the condition of full mining, and an existing mining area surface deformation monitoring method is insufficient in precision and timeliness are solved.

The invention, which relates to the technical field of mine geology and urban safety, discloses a refined collaborative prediction method and system for subsidence of a global goaf, comprising the steps of establishing a hierarchical storage system, and correcting a working face calculation boundary; extracting the maximum influence radius of all the working faces and four-dimensional coordinates of the mining boundary of each working face, and calculating to obtain a global prediction range to generate a global surface prediction grid; point set insertion and Delaunay triangulation are adopted to obtain an effective triangular unit, a local influence domain range of the effective triangular unit is calculated, and an influenced sub-grid is screened from the global surface prediction grid; and calculating a predicted point movement deformation value based on a parallel computing architecture, accumulating the predicted point movement deformation value to a global result array through a coordinate index mechanism, synthesizing a deformation component in a specific direction, generating a visual result, and performing statistical analysis. According to the method, the problems of poor adaptability and low efficiency of a traditional scheme are effectively solved, and the prediction precision and efficiency are remarkably improved.

The invention discloses a goaf surface subsidence prediction method and system based on grouting-rock stratum coupling, and belongs to the technical field of coal mining surface subsidence prevention and control. According to the method, a basic parameter system containing geology, grouting and mining parameters is constructed, a grouting subsidence reduction influence factor model is established, a grouting influence factor beta is defined, a subsidence coefficient is corrected, then a collaborative prediction model is constructed, the subsidence dynamic influence radius is calculated, and a surface subsidence function is represented; according to the method, grouting parameters are quantified and introduced into the subsidence prediction model, the problems that a traditional model is poor in adaptability and low in prediction precision under the grouting condition are solved, and the accuracy of surface subsidence prediction and the engineering guidance value are remarkably improved.

The invention discloses a mining area surface environment monitoring method, aiming at the current situation of surface ecological environment damage and prevention of a plain mining area, and researching a mining area dynamic change monitoring benchmark; for surface movement and deformation caused by mining area disturbance, a D-InSAR technology is applied to perform surface subsidence monitoring on a deformation block. According to the invention, technical means such as InSAR, GPS, remote sensing satellite images and the like are comprehensively utilized to obtain multi-source data of the mining area surface environment, key technologies of integration and application of the multi-source monitoring data are researched, a mining area surface environment multi-source monitoring technical system is established, and on the basis of multi-source high-resolution remote sensing data, technical means such as image processing, mode recognition and the like are adopted, so that the mining area surface environment multi-source monitoring system is established. Land utilization changes and ecological influence conditions are studied, InSAR and GNSS technologies are applied to perform high-precision monitoring analysis research, the overall monitoring capability, reliability and precision are improved, the technical defects of single technologies for mining area geological environment monitoring are overcome, and the mining area geological environment monitoring system has wide popularization and application prospects.

The invention discloses a method and equipment for predicting surface subsidence of super-thick weakly-cemented overlying strata under insufficient mining, and belongs to the field of surface treatment of coal mining subsidence areas. Establishing a physical strata plate theoretical model according to the structure and the property of each strata, determining the size of each strata plate according to the actual mining progress of a working face, actually measured drilling data and mechanical test report parameters, and further establishing an overall model of overlying strata under the strata; the state information of each rock stratum under different advancing distances of the working face is judged, the flexural deformation value of the rock stratum in the advancing process of the working face is calculated, then the flexural value of each point of a rock stratum plate serves as the coal seam mining thickness, the subsidence deformation value of a rock-soil layer above the rock stratum subjected to flexural deformation is calculated, and then the surface subsidence value is predicted. The method has higher adaptability and accuracy for surface subsidence deformation prediction of mining areas with special stratum environments such as the condition of extremely thick and weak cemented overburden strata, calculation is simple, and a scientific theoretical basis is provided for coal mining design under regional structures.

The invention discloses a land subsidence area permeable channel identification and cause analysis method based on a high-density electrical method, which overcomes the limitation of traditional single profile data interpretation by arranging a three-dimensional observation grid and fusing and collecting multi-source data. Through combination of finite element three-dimensional inversion and the improved convolutional neural network model, accurate description of the three-dimensional spatial morphology, the extension direction and the connectivity of the permeable channel is realized, and the accuracy and the spatial resolution of low-resistance abnormal region identification are improved. Compared with the prior art, the method has remarkable advantages in the aspects of permeable channel recognition accuracy, cause analysis comprehensiveness, result application practicability and the like, and effective support can be provided for long-acting prevention and control work of geological disasters in land subsidence areas.

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 invention relates to the technical field of mining subsidence, and relates to a surface subsidence prediction method and system under a sliding structure geological condition, and the surface subsidence prediction method comprises the steps: determining a rock stratum movement probability coefficient corresponding to the sliding structure geological condition when the sliding structure geological condition and the non-sliding structure geological condition exist in a mining range at the same time; on the basis of the mining range and the rock stratum movement probability coefficient, the earth surface one-time subsidence amount under the sliding structure geological condition caused by mining within the mining range is determined; based on the distribution condition of the sliding structure geological conditions and the earth surface primary subsidence amount, the earth surface secondary subsidence amount under the sliding structure geological conditions caused by mining within the mining range is determined; and on the basis of the ground surface primary subsidence and the ground surface secondary subsidence, determining the ground surface comprehensive subsidence under the sliding structure geological condition after mining in the mining range is completed. The method can more scientifically evaluate the influence of the sliding structure on the surface stability.

The invention discloses a mining roadway roof deformation monitoring method and system based on a sensor, and relates to the technical field of deformation monitoring, and the method comprises the steps: obtaining three-dimensional point cloud data containing rock mass structure features; separating the rock mass bulge area from the roof main body area; a reference plane is arranged below a roof body area, relative spatial position parameters of the reference plane and a roof body are obtained in real time through a TOF sensor, and a roof three-dimensional model is constructed; mapping the top plate three-dimensional model into a reference plane coordinate system; curvature parameters of all nodes of the roof three-dimensional model are calculated through differential geometric analysis, and a curved surface gradient tensor field is constructed; and based on the curved surface gradient tensor field, obtaining a maximum sinkage, a regional deformation gradient value and an overall deformation distribution parameter, and generating a roof stability evaluation report. The method has the advantages that a more comprehensive, accurate and reliable roof stability evaluation report is provided, and a more accurate safety early warning basis is provided for the mining industry.

The invention provides a roof-based subsidence monitoring method for a middle-deep underground mining mine, which comprises the following steps: S1, a deep anchor type anchoring datum point is arranged in a stable rock mass, far away from a mining disturbance area, of a mine roadway or a goaf, and the depth of the deep anchor type anchoring datum point needs to penetrate through a fissure zone and go deep into an original rock stress area; s2, a displacement sensor is installed at the key part of the top plate of the area to be monitored, and the displacement sensor is configured to take the deep anchor type anchoring datum point as a physical zero point; s3, acquiring a distance change original signal of the roof relative to the deep anchor type anchoring datum point through a displacement sensor, and directly acquiring roof subsidence data; and S4, performing signal noise reduction, anomaly detection, nonlinear feature analysis and parameter inversion on the roof subsidence data by using a computer system, and triggering an early warning mechanism when the roof is judged to be in an unstable state or a subsidence parameter exceeds a critical threshold. And an unstable bottom plate is fundamentally abandoned as a measurement basis, and the authenticity and the accuracy of the subsidence data of the top plate are ensured.

According to the method and system for monitoring stratum settlement in the geothermal exploitation and recharge process under multiple scales, obtained macroscopic monitoring data, mesoscopic monitoring data and microscopic monitoring data synchronously cover six types of core parameters including displacement, temperature, strain, pressure, microseismic and chemical concentration, and complete data support is provided for subsequent multi-field coupling calculation; compared with traditional single physical quantity monitoring, coupling result deviation caused by incomplete data is greatly reduced; the macroscopic monitoring data, the mesoscopic monitoring data and the microscopic monitoring data are mapped to different grid layers of a unified grid system, so that the problem that high-resolution microscopic data and low-resolution macroscopic data are difficult to cooperate is solved, and fused data better fits the actual geological law; parameters of the heat-fluid-solid-chemical coupling model are dynamically corrected through Kalman filtering, it is ensured that the parameters of the heat-fluid-solid-chemical coupling model are adjusted in real time along with dynamic changes of the stratum, and the accuracy of settlement prediction is improved.

The invention relates to the technical field of long-term deformation monitoring of coal mining subsidence areas, in particular to a method for predicting long-term deformation of different-dip-angle inclined coal seams on the surface of a mountainous area. The method comprises the following steps: establishing an uphill-direction cavity area range calculation formula, a downhill-direction cavity area range calculation formula, an uphill-direction cavity area equivalent mining thickness calculation formula, a compaction area equivalent mining thickness calculation formula and a downhill-direction cavity area equivalent mining thickness calculation formula of inclined coal seams with different inclination angles; a mountain surface inclined coal seam long-term deformation prediction formula with different inclination angles is established; acquiring a coal seam inclination angle in a research area, judging an inclined coal seam type, and acquiring calculation parameters; substituting the obtained parameters into a long-term deformation prediction formula of the inclined coal seam with different inclination angles on the surface of the mountainous area to obtain a long-term deformation result in the research area; the problems that an existing monitoring technology for regional residual deformation is large in measurement difficulty and low in precision, and residual deformation of inclined coal seams with inclination angles of different degrees is not fully considered are solved.

The invention relates to the technical field of data processing, in particular to a geological disaster intelligent monitoring method and system. The method comprises the following steps: acquiring settlement data of a geological disaster monitoring area, and pore water pressure data and high-frequency vibration data which are synchronous with the settlement data; for each settlement data point in the settlement data, determining a water-soil coupling factor of each settlement data point; determining the data credibility of each settlement data point; obtaining a plurality of groups of optimized coarse graining sequences; and on the basis of the optimized coarse graining sequence, a multi-scale entropy algorithm is used to realize premonition identification of geological disasters. According to the method, a credibility mechanism is established by evaluating the water-soil coupling factor and combining the high-frequency vibration data, and weighted coarse graining is performed on the settlement data, so that noise interference is inhibited, and the accuracy and reliability of geological disaster precursor identification are improved.

The invention belongs to the field of rock burst prevention and control coal mining methods, and particularly relates to a roof-cutting pressure-relief coal mining method under the stratum condition of a deeply-buried sandstone group. Comprising the following steps: respectively constructing detection drill holes inside and outside a first mining working face, and checking an interface in a stratum in a hydraulic pressure test mode so as to accurately determine a key layer. On the basis, on the basis of gob-side entry retaining, roof cutting drill holes are creatively constructed in a roof cutting special roadway and a transportation roadway correspondingly, so that roof cutting work is conducted on key layers in a bent sinking zone rock stratum, a water flowing fissure zone and a caving zone rock stratum in a roof; therefore, the suspended roof length of a part of the water flowing fractured zone rock stratum and the caving zone rock stratum is reduced but still reserved, the supporting force needing to be borne by the gob-side entry retaining is reduced, and a sheltering space is provided for the gob-side entry retaining. The bent sinking zone rock stratum is subjected to vertical drilling top cutting, and a top cutting transition area is reserved, so that superposition of fracture of the bent sinking zone rock stratum and fracture of the water flowing fissure zone rock stratum can be reduced, and the stratum pressure needing to be borne by gob-side entry retaining is reduced to the maximum extent.

The invention belongs to the technical field of coal mining, and particularly relates to a key parameter design method for targeted grouting and filling pier stud water-preserved coal mining. The method comprises the steps that mine hydrogeology and mining geology data are collected, and the burial depth, the thickness, the physical and mechanical parameters and the gangue breaking and expanding coefficient of a coal rock layer are obtained; adopting discrete element numerical simulation to determine the caving zone height under the insufficient mining critical propulsion length; the drilling depth of the grouting drill hole and the caving zone void ratio are calculated; preparing and testing the mechanical strength and diffusion stacking angle of the grouting material in a laboratory; combining the critical coefficient of insufficient mining, applying a rock stratum subsidence probability integral method, and scientifically designing the interval, the radius and the grouting amount of filling pier columns; and finally, cement pier columns are formed in a caving zone through ground drilling and grouting, an overlying rock stratum is stably supported, and structural deformation of the aquifer is controlled. The method is simple in parameter design and high in accuracy, and space-time interference of a traditional filling process is avoided.