167 results about "Subsidence" patented technology

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 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 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 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, 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 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 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 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.

The present application relates to the field of mining area subsidence reduction and filling mining, in particular to a floor isolation grouting filling control surface subsidence mining method; a certain thickness of rock stratum is selected as a floor pressure bearing protective layer below a floor failure zone, the floor pressure bearing protective layer arches under grouting pressure, but no fissure leading to the upper floor failure zone is generated; the floor pressure bearing protective layer bottom interface is taken as a grouting layer, a grouting borehole is connected to the grouting layer; working face mining is carried out, when grouting filling can be carried out, filling slurry is injected from the grouting borehole to the grouting layer. The filling slurry lifts the floor grouting pressure bearing layer and the floor failure zone under high pressure, finally fills the entire goaf, reduces the breaking degree of the coal seam roof, controls the subsidence amplitude of the overlying strata, and further reduces the surface subsidence amplitude. In the present application, the mining and grouting filling processes are separated, the influence of grouting filling operation on working face mining is avoided, and the present application is particularly suitable for coal mine areas with dense buildings.

The invention discloses a water-preserved coal mining method for water-proof soil layer reconstruction, which comprises the following steps: before coal mining, measuring the water level difference of an upper water-containing layer and a lower water-containing layer of a water-proof soil layer and the average natural permeability coefficient of the water-proof soil layer, and sealing a measured drill hole after measurement; directional drilling is carried out on the underlying stratum of the water-proof soil layer bottom plate, directional drilling holes penetrate through the coal mining subsidence area, and the horizontal sections of the directional drilling holes are located at the positions downwards away from the water-proof soil layer bottom plate; freezing in the implemented directional drill by adopting a freezing technology; vertical drilling is carried out on the ground; mixed liquid of loess and water is injected into all the vertical drill holes; the electric field set seepage field is connected through a vertical drill hole to pull the loess; after at least 10 days, performing a conventional water injection experiment on all the vertical drill holes every day, and determining the average permeability coefficient of the reconstructed waterproof soil layer; and after the standard is reached, freezing is stopped, and all the drilled holes are sealed. The method is economical, reasonable, easy to construct, free of pollution and short in effective period.

This invention discloses a method for joint monitoring of surface subsidence and pipeline deformation in coal goaf areas, relating to the fields of geotechnical mechanics and surveying engineering technology. The method includes: acquiring SAR time-series images of the coal goaf area; obtaining surface subsidence data of the coal goaf area based on the SAR time-series images by combining the S-InSAR method and the phase cumulative difference D-InSAR method; determining the pipeline length, inner and outer diameters, burial depth, and the extent and shape of the soil mass based on the SAR time-series images of the coal goaf area, and establishing a pipeline-soil numerical model of the coal goaf area; determining the subsidence value and horizontal movement value based on the coal goaf image data containing the relationship between surface subsidence and pipeline location; inputting the subsidence value and horizontal movement value into the pipeline-soil numerical model of the coal goaf area for numerical simulation to obtain pipeline deformation stress data; and determining the spatial coupling relationship between the surface subsidence data and the pipeline stress-deformation data by spatially superimposing the surface subsidence data and the pipeline stress-deformation data.

The present application relates to a kind of rock-socketed foundation bearing capacity compensation design method considering rock mass constraint, comprising: establishing rock-socketed foundation calculation model, determine its consolidation boundary condition in rock layer;Calculate the horizontal soil resistance of triangle distribution produced when foundation rotates;Solve the resisting moment of horizontal rock resistance to base center;The deformation of base is decomposed into integral subsidence and rotating component;Determine the calculation formula of base zero stress point position, and establish base vertical pressure distribution model;Establish the overall balance equation group, and solve the foundation rotation angle and zero stress point position by iteration calculation;Calculate the maximum compressive stress of base and evaluate the bearing capacity compensation effect;Finally, section internal force analysis and reinforcement design are carried out.The present application provides additional resisting moment by quantifying rock mass constraint, effectively reduces the maximum compressive stress of base, provides theoretical basis and technical support for improving foundation bearing capacity and optimizing foundation size, and is especially suitable for rock-socketed foundation design in high intensity seismic region.

This invention relates to the field of surface subsidence and deformation technology, and particularly to a method for predicting abnormal surface deformation responses under the coupling of faults and loose layers. This method solves the technical problem of accurately assessing the surface subsidence and deformation patterns caused by coal mining under different geological conditions in existing technologies. The technical solution includes: establishing a three-dimensional numerical model using a Mohr-Coulomb constitutive model and setting the fault zone thickness; establishing eight sets of control experimental models and using the controlled variable method to study the effects of fault dip angle and loose layer thickness; performing simulation calculations by excavating the working face in 13 steps, with each step having a spacing of 30m; and effectively revealing the characteristics of how increasing fault dip angle promotes an increase in the maximum surface subsidence value, and how increasing loose layer thickness leads to an increase in the subsidence value followed by stabilization. This method can effectively assess the abnormal response patterns of surface subsidence and deformation under complex geological conditions.

The present application belongs to the technical field of hydrology, and particularly relates to a method for improving spatial resolution of groundwater storage based on settlement characteristic weighted fusion. The technical scheme of the present application is based on extraction of settlement characteristics and derivation of weight algorithm, and the new settlement characteristic weighted fusion method fully considers the influence of two data characteristics of surface settlement and water level change on the change of groundwater storage. Through weighted fusion of the groundwater storage anomaly inverted by GRACE and InSAR data, a brand-new fusion image is obtained. The fusion result is more sensitive to the surface settlement characteristics, can better show the detail characteristics of water storage change, and can more accurately provide information services for the utilization of water resources.

The embodiment of the present application provides a kind of geological subsidence risk assessment method and system for mining area, belong to numerical simulation risk assessment technical field.The method comprises: obtaining the observation data and structure information of each monitoring point in mining area, and based on the observation data, point-level capsule for expressing the subsidence behavior characteristics of each monitoring point is constructed;Based on the structure information, the structure coupling factor between monitoring points is calculated as the weight adjustment parameter of dynamic routing process in capsule network;The point-level capsule and the structure coupling factor are jointly input into the preset structure coupling capsule network, and according to the weight adjustment parameter, the dynamic routing mechanism is guided to generate structure unit capsule for representing the subsidence response characteristics of different structure units;Based on the structure unit capsule, the subsidence risk level and its spatial distribution of each monitoring point are generated.The present application scheme significantly improves the accuracy and real-time performance of mining area subsidence risk assessment, and provides more reliable decision support.

This invention discloses a method for determining the grouting layer and timing of artificially consolidated bodies, comprising: obtaining the theoretically calculated grouting layer of the artificially consolidated body based on shallow-buried fully mechanized longwall mining parameters; obtaining the grouting layer and earliest grouting timing of the artificially consolidated body using measured overburden movement data; determining the latest grouting timing of the artificially consolidated body using measured surface subsidence data; establishing an evolution model of the artificially consolidated body controlling the porosity of the mining space using computer numerical simulation, and determining the optimal theoretical grouting timing and theoretical grouting timing range for the artificially consolidated body with the largest porosity; finally, verifying and adjusting the grouting timing based on measured grouting volume of key rock strata, grouting timing, and porosity below the artificially consolidated body to obtain the final grouting timing range for the artificially consolidated body. This method achieves precise control of the mining space in shallow-buried fully mechanized longwall mining by accurately and reasonably determining the grouting layer and grouting timing of the artificially consolidated body.

The invention belongs to the technical field of geophysics and surveying and mapping science, and discloses an earthquake and level settlement association method and system based on spatial overlay analysis, and the method comprises the following steps: S1, obtaining level measurement data and earthquake directory data; s2, constructing a level line buffer area according to the leveling data; s3, processing the leveling data to obtain level settlement data, and generating a level settlement change point layer according to the level settlement data; s4, performing spatial interpolation according to the level settlement change point diagram layer and the level line buffer area to obtain a settlement change thermodynamic diagram; s5, generating a hierarchical symbolization seismic map layer according to the seismic directory data; s6, the settlement change thermodynamic diagram and the hierarchical symbolization seismic map layer are displayed in an overlapped mode, and an earthquake and level settlement correlation analysis result is obtained. The method disclosed by the invention intuitively reveals and evaluates the spatial correlation between the vertical deformation field and the seismic activity, and provides a brand new technical tool for the conjoint analysis of the earthquake and the level settlement.

The invention provides an ecological management method for surface runoff ditch-passing mining, which comprises the steps of pre-mining management, during-mining management, post-mining management and ecological restoration, and the pre-mining management method provided by the invention can reduce the leakage area of flowing water at the bottom of a ditch, and reduce the project amount of the during-mining management and the post-mining management. According to the mining treatment method, the subsidence cracks and the low-lying areas can be rapidly repaired, and the anti-seepage and anti-scouring capacity of the channel is improved. According to the post-mining treatment method, the depression appearing after mining can be subjected to multi-layer compaction repair, and the water flow scouring resistance effect can be improved. The mining safety can be guaranteed, the underground leakage phenomenon is avoided, and the local ecological environment can be restored.

The application discloses a potential landslide identification method and system based on surface deformation cause analysis, and the method comprises the following steps: obtaining radar data and preprocessing to obtain surface deformation phase data; an IDANet-1 network is constructed and trained to predict a surface deformation abnormal area; the terrain DEM data, multi-temporal MODIS data and optical image data are processed respectively to obtain surface subsidence type, glacier snowmelt type and mine subsidence type surface deformation areas, and after set operation, the landslide type surface deformation target is obtained by difference set operation with the surface deformation abnormal area; the IDANet-2 network is trained by using the landslide type surface deformation identification data set; and wide-area comprehensive remote sensing data are input into the IDANet-2 network model for reasoning to obtain wide-area potential landslide hidden danger distribution information. Through the technical scheme, multi-level joint of multi-source multi-modal remote sensing data is realized, surface deformation information is accurately identified, and the identification efficiency of potential landslide hidden dangers in a large area is effectively improved.

The invention belongs to the technical field of coal mine monitoring systems, and particularly relates to a coal mine goaf overlying bending sinking zone rock stratum subsidence monitoring system which comprises a sleeve, a rotating shaft, a sector ring, a stress sensor, a shifting piece and a self-locking device. One end of the sleeve is fixedly connected with an inner end cover, and the other end of the sleeve is fixedly connected with an outer end cover; the rotating shaft is arranged at the axis of the sleeve, and the rotating shaft is rotationally connected with the inner end cover and the outer end cover; the sector ring is in sliding connection with the inner end cover; in order to solve the technical problem that data acquired in actual measurement are often wrong or even invalid due to the fact that the accuracy of the pressure measurement direction and position of the borehole stressometer is difficult to guarantee, a sector ring is arranged, and a rotating shaft is rotated to enable the sector ring to move in the radial direction so as to adapt to the diameter of a mounting hole; the stress sensor is kept in contact with the inner wall of the mounting hole, so that the accuracy of a detection result is ensured, and technicians can perform scientific research and safety monitoring work.

The application discloses a kind of exploitation subsidence whole basin monitoring methods of space-time cooperation observation, belong to mining exploitation subsidence monitoring technical field.This method first collects target area time series SAR image, airborne LiDAR-DEM data and ground precision leveling measured data, obtains corresponding air-space-ground multi-source subsidence monitoring result after processing;Second, based on InSAR maximum deformation gradient theory, small-middle magnitude subsidence area boundary is divided, and ground measured data accuracy evaluation is combined to determine middle-large magnitude subsidence area boundary;Finally, according to the boundary, the data is fused regionally, the InSAR result is retained in small magnitude subsidence area, the LiDAR result is retained in large magnitude subsidence area, and the data of both is fused in middle magnitude subsidence area using priori fixed weight, and complete mining subsidence basin is obtained by spatial interpolation.The application effectively overcomes the shortcomings of single monitoring technology, can obtain continuous and accurate subsidence data, and provides scientific basis for ecological environment restoration and geological disaster prevention in mining area.

The application provides a kind of side slope subsidence monitoring method and system, it is related to side slope monitoring technical field, first acquire the multi-source cause information of side slope area, including side slope surface soil disturbance, underground rock-soil stress change, surrounding water body penetration and vegetation cover change information, then based on multi-source cause information constructs side slope subsidence cause conduction chain, embodies the subsidence influence conduction relationship between causes, again according to side slope subsidence cause conduction chain generates cause conduction tracking sequence, records conduction order and state change information, then according to cause conduction tracking sequence determines the key conduction node of side slope subsidence, finally based on the position and state change information of key conduction node, generates the monitoring resource directional deployment scheme containing monitoring equipment deployment position and monitoring frequency setting, can thus comprehensively, accurately monitor side slope subsidence, improves monitoring efficiency and accuracy.

The application relates to a grouting and filling mining surface subsidence dynamic prediction method, which comprises the following steps of: dividing a rectangular working face into a plurality of mining units; calculating the subsidence influence of each mining unit on any surface point by using a probability integral method; calculating a Weibull model time function value of each mining unit at a preset time; and multiplying the subsidence amount of each mining unit at any surface point and the Weibull model time function value, so as to obtain the dynamic subsidence value of any surface point affected by mining and grouting of each mining unit at the preset time. n T T The application improves the subsidence coefficient in the probability integral method according to the technical features of the mining and grouting technology of the bed separation grouting and filling mining, and simultaneously considers the influences of the mining and grouting on the surface deformation; the Weibull model with the improved subsidence coefficient is used as a theoretical model of the grouting and filling mining surface subsidence dynamic prediction, the model basis is more reasonable, and the surface subsidence dynamic prediction precision is higher.​​

The invention relates to the technical field of geological disaster risk evaluation, in particular to a mountain coal mine goaf subsidence area power transmission and distribution tower risk evaluation method, system and device and a storage medium. Obtaining multi-dimensional geological environment data of the evaluation area, extracting the multi-dimensional geological environment data corresponding to the sample points and the marked collapse sample data as training features, generating a risk prediction model through training, and carrying out risk level identification on each space unit in the evaluation area through the risk prediction model, forming a regional risk distribution result; the method comprises the following steps: acquiring an accumulated vertical displacement value at a tower position, establishing a probability distribution relationship between the accumulated vertical displacement value and a tower damage grade by combining a tower damage state sample investigated on site, calculating tower equivalent damage probabilities under different accumulated vertical displacement values, and fitting according to the equivalent damage probabilities to generate a damage probability curve; and substituting the accumulated vertical displacement value of each tower into the damage probability curve to calculate a damage probability value.

The present application relates to the technical field of data processing, and more particularly to a geological disaster intelligent monitoring method and system. The method comprises: acquiring subsidence data of a geological disaster monitoring area, and pore water pressure data and high-frequency vibration data synchronized with the subsidence data; for each subsidence data point in the subsidence data, determining a water-soil coupling factor of each subsidence data point; determining the data reliability of each subsidence data point; acquiring multiple groups of optimized coarse-grained sequences; based on the optimized coarse-grained sequences, using a multi-scale entropy algorithm to realize precursor identification of geological disasters. The present application establishes a reliability mechanism by evaluating the water-soil coupling factor and combining the high-frequency vibration data, and performs weighted coarse-graining on the subsidence data, thereby suppressing noise interference and improving the accuracy and reliability of geological disaster precursor identification.