894 results about "Rock burst" patented technology

The invention relates to a rockburst risk monitoring method and system in a tunnel construction period, and relates to the technical field of tunnel construction, and the method comprises the steps: obtaining micro-seismic monitoring data and geological parameters of a tunnel; calculating a rockburst risk index of the tunnel based on the micro-seismic monitoring data and the geological parameters; determining a dynamic stress field analysis result of the tunnel through the dynamic stress field evolution model; based on the rockburst risk index and the dynamic stress field analysis result, dangerous area distribution of the tunnel is obtained; evaluating the rockburst risk grade of the tunnel in the next construction period in combination with the rockburst risk index, the dangerous area distribution and the to-be-performed construction process, and dynamically adjusting the early warning threshold value of the rockburst risk index to obtain a dynamic early warning threshold value; and when the rockburst risk index of the tunnel exceeds a dynamic early warning threshold value, generating a risk assessment result, sending out early warning of a corresponding level, and giving a prevention and control suggestion of construction according to the risk assessment result. The tunnel rockburst risk monitoring accuracy can be improved.

The invention discloses a data-mechanism dual-drive-based rock burst early warning method and system, and the method comprises the following steps: deploying a multi-modal sensor network to collect coal and rock stratum data, building a rock burst disaster precursor information sample database, providing a rock burst disaster multi-modal data precursor feature recognition algorithm, and carrying out the recognition of rock burst disaster multi-modal data precursor features. Mining the relevance between the multi-modal data and disaster-causing key risk indexes, and establishing a rock burst disaster multi-modal data prediction model; establishing a three-dimensional geological geometric model, fusing a multi-field coupling dynamics constitutive model and a catastrophe criterion, constructing a PINN physical information neural network prediction model of the rock burst disaster, and obtaining a time-space evolution rule of an energy field of a target area; providing a loss function coupling calculation method of a multi-modal data driving sample error and a physical driving control equation residual error, dynamic data and mechanism prediction result weight, comprehensively calculating a risk score, and accurately judging a top disaster danger level.

The invention discloses a deep well rock burst early warning system and method based on multi-dimensional monitoring, and belongs to the technical field of deep well rock burst early warning. According to the method, multi-dimensional data such as stress, strain and microseism are collected through a monitoring network, and an aligned multi-source data set is obtained through space-time registration; after dynamic noise suppression processing matched with physical characteristics is adopted, strong correlation characteristics are screened through mutual information entropy; frequency domain, time domain and time-frequency domain features are extracted through principal component extraction and phase-space reconstruction, and a multi-dimensional state space data set is formed; and inputting the prediction model to obtain a danger level and trigger a corresponding early warning signal, and finally dynamically adjusting the monitoring network layout and prevention and control measures based on the early warning signal. According to the method, the early warning accuracy and real-time performance are improved, and effective technical support is provided for deep well rock burst prevention and control.

Disclosed are a dynamic disturbance-induced rock burst test device and a test method. The test device comprise a supporting platform, a plurality of loading plates, an electromagnetic pulse emitting system, an acoustic emission monitoring system, a high-speed camera, an electromagnetic radiation detecting system and a confining pressure servo control loading system. The plurality of loading plates are arranged on a side wall of a coal rock sample and are placed inside a square chest, the electromagnetic pulse emitting system and the confining pressure servo control loading system are arranged inside a bar system, and an acoustic emission probe is arranged inside the loading plate. A three-dimensional real stress environment of the coal rock is simulated by simulating a shear stress through friction between the loading plate and the sample, as well as dynamic and static combined loading of multi-axial and multi-directional static confining pressure and stress wave disturbance.

An asymmetric high stress tunnel rock burst micro-seismic sensor arrangement method, relating to the technical field of tunnel engineering. On the basis of tunnel surrounding rock geological data, three-dimensional numerical simulation is carried out for asymmetric high stress tunnel stability on the basis of asymmetric in-situ rock geo-stress distribution and tunnel section geometric characteristics, and asymmetric high stress tunnel energy is calculated; the location of a rock burst risk area is determined; micro-seismic sensors are arranged in front of and behind a stress concentration area; the area at a high risk and nearby areas thereof are always incorporated in two micro-seismic sensor arrays arranged in front of and behind a tunnel face. The micro-seismic sensors work cooperatively and are staggered in space, the mounting and arrangement of the micro-seismic sensors changes forwards and backwards along with the stress concentration area, and the micro-seismic sensors always keep a certain distance range with the stress area. The tunnel stress concentration area and more nearby effective micro-crack source signals can be captured by the micro-seismic sensors, thereby improving the precision of locating a micro-seismic source and laying a foundation for accurate prediction and forecast of deep-buried hard rock tunnel disasters.

An intelligent design method for a support scheme of a rock burst section in a TBM tunnel, relating to the field of tunnel engineering. The intelligent design method for the support scheme of the rock burst section in the TBM tunnel comprises: determining a surrounding rock class on the basis of TBM mainframe operation data, surrounding rock feedback evaluation, and a tunnel engineering geological survey report, and using a rock burst intensity assessment method to predict a rock burst grade; and on the basis of the surrounding rock class and the rock burst grade, using a computer deep learning technology to determine an initial surrounding rock support method. The method effectively avoids the impact of subjective factors, actively utilizes TBM mainframe operation data and surrounding rock feedback evaluation, utilizes big data processing and an artificial intelligence technology to propose an intelligently designed support scheme for a rock burst section in a TBM tunnel, and can provide an efficient support scheme for field construction workers for a rock burst section in a tunnel.

The invention discloses a rock burst prediction large model construction method based on multi-modal data, and the method comprises the steps: constructing a multi-modal data set through collecting data of different modals; preprocessing the multi-modal data set, and constructing a precursor mode sequence of model training; according to the characteristics of different mining areas, the precursor mode sequence is converted into a corresponding grade form, and corresponding rock burst danger grade labels are divided; transform is adopted as a core framework, the precursor mode sequence after grade division is processed, and finally prediction of the rock burst grade occurrence probability is achieved. A comprehensive index method is used for independently evaluating the danger degree of the mining information data and the geological structure data, and the overall danger level of the rock burst is comprehensively evaluated in combination with a danger probability result output by the rock burst prediction module; according to the method, the applicability and prediction precision of the model under different mining area conditions can be improved, and accurate prediction of the rock burst risk is realized.

The invention discloses a rock burst global monitoring and dynamic and static far and near field cooperative early warning method and system, and the early warning method comprises the steps: determining a stope space key monitoring region and a stress wave type based on a dynamic load stress wave far field generation and propagation mechanism, delineating a working face surrounding rock high-stress region, and analyzing the structural characteristics of a rock stratum. Arranging a micro-seismic sensor in a far-field key area, and obtaining parameters such as seismic source fracture size, energy and magnitude through waveform inversion; an acoustoelectric system is arranged in a near-field high-stress area, coal rock fracture characteristics are dynamically monitored, and the static load energy storage state of surrounding rock is quantitatively analyzed. And in combination with a stress wave propagation attenuation coefficient, a far and near field fusion early warning criterion under the action of dynamic and static energy superposition is established, and advanced accurate early warning of the rock burst is realized through collaborative analysis of multi-source monitoring data. The disaster-pregnant space global monitoring technology fusing earthquake, sound and electricity is provided, the chain evolution disaster-causing process of dynamic load generation, cross-space propagation and working face surrounding rock damage is considered, and the accuracy of rock burst early warning can be remarkably improved.

The invention discloses an underground-ground-sky combined rock burst and earth surface deformation early warning method, which comprises the following steps of: S1, arranging an underground monitoring system, and acquiring underground monitoring data; s2, setting a ground monitoring system, and collecting ground monitoring data; s3, setting a sky monitoring system, and collecting sky monitoring data; s4, calibrating the time scale difference of the underground monitoring data, the ground monitoring data and the sky monitoring data through a multi-scale time alignment algorithm; and S5, constructing a multi-stage joint probability assessment framework to carry out mining area rock burst and earth surface deformation risk assessment. According to the method, multi-source monitoring data are integrated through a multi-scale space-time fusion framework, and a full-chain association model of'microcosmic fracture-mesoscopic deformation-macroscopic accumulation 'is constructed. And on the basis of cross-scale time sequence alignment, spatial heterogeneity is optimized and eliminated, a multi-stage joint probability assessment framework quantifies a cross-scale collaborative risk, full-period intelligent management and control of'monitoring-early warning-feedback-optimization 'is realized, and early warning accuracy and timeliness are improved.

The invention provides a multi-physics field cooperative regulation and control method in coal mine rock burst prevention and control, and relates to the technical field of coal mine rock burst prevention and control, and the method comprises the steps: synchronously collecting stress field, fracture field and vibration wave field data in real time through a distributed optical fiber sensor network and a micro-seismic monitoring system, and constructing a dynamically updated three-dimensional geomechanical model; based on an adaptive Kalman filtering algorithm, noise reduction multi-source data are fused, a dynamic stress concentration factor and an energy accumulation critical index are extracted, and a rock burst risk probability model is established; a multi-objective optimization algorithm is adopted to generate graded regulation and control instructions of grouting reinforcement, mining speed adjustment and pressure relief drilling, and the graded regulation and control instructions are executed in real time; and iteratively optimizing the model weight by using a transfer learning algorithm in combination with a historical case library to form a closed-loop feedback adaptive prevention and control system. According to the method, the analysis precision of rock mass fracture evolution under complex geological conditions is improved through multi-physics field collaborative perception and dynamic modeling, and risk quantification and real-time regulation and control are realized through multi-algorithm coupling analysis.

The invention discloses a coal mine rock burst risk assessment system which comprises a data acquisition module, an energy accumulation rate calculation module, a roadway network modeling module, a risk assessment module and an early warning regulation and control module. The method comprises the following steps of: firstly, calculating an energy accumulation rate of a roadway, then constructing a roadway network diagram, identifying a high stress conduction path, calculating a dynamic risk index and delimiting a risk area by integrating factors such as a historical impact event and an energy index, and automatically triggering corresponding early warning and regulation measures by a system according to a risk level so as to realize accurate early warning and dynamic regulation. And mine operation decision making and accident prevention are assisted.

The invention discloses a seismic source inversion data driven rock burst prediction method and system, and the method comprises the steps: carrying out the quantitative inversion calculation of the core parameters of a coal rock fracture seismic source mechanism through original sound wave data collected on site; a rock burst seismic source data prediction model is constructed based on an Informer algorithm, and the occurrence time and position of rock burst are accurately predicted. A rock burst risk evaluation model is constructed by combining the predicted occurrence time and position of a future fracture source and seismic source mechanism core parameters, the magnitude and property of rock burst are predicted, and a dual-drive rock burst intelligent model for seismic source data prediction and rock burst risk evaluation is established; and multi-dimensional intelligent prediction of sequential response, spatial distribution and evolution attributes in the rock burst catastrophe process is realized. According to the method, seismic source data prediction and risk evaluation are combined, the rock burst catastrophe risk can be predicted, and the rock burst evolution process and the disaster-causing mechanism can be visually represented.

The invention discloses a rock burst advanced early warning method based on cumulative damage spatial-temporal distribution characteristics, and the method comprises the steps: obtaining all micro-seismic data of a to-be-predicted region, the micro-seismic data being composed of the three-dimensional coordinates and corresponding energy of each point in the predicted region; dividing the to-be-predicted area into a plurality of grids, and obtaining all microseismic data in each grid; based on all the micro-seismic data in each grid, calculating the fractal dimension of the roadway surrounding rock damage of each grid; based on all microseismic data in each grid, the number of crack planes, the crack area and the crack shape in each grid are obtained; and on the basis of the parting dimension, the number of the crack planes, the crack area and the crack shape in each grid, the rock burst danger degree of each grid is obtained, and early warning is performed according to the danger degree. According to the method, the parting dimension is obtained based on the microseismic data, meanwhile, various indexes of cracks are introduced, the danger degree of rock burst is obtained, early warning is conducted, and the timeliness and accuracy of early warning are improved.

The invention belongs to the field of surrounding rock rockburst early warning, and provides a rockburst early warning method and system based on micro-seismic energy and support stress coupling monitoring, which are used for carrying out deep gold mine roadway surrounding rock micro-seismic monitoring and anchor rod support stress monitoring. Establishing a micro-seismic energy data set, and carrying out statistical analysis to obtain a micro-seismic energy early warning index; the anchor rod supporting stress is analyzed, and then an anchor rod stress early warning index is determined; and carrying out information fusion on the micro-seismic energy early-warning index and the anchor rod stress early-warning index, establishing a combined early-warning method based on micro-seismic energy and support stress, and carrying out evaluation and early-warning on the rock burst grade of the surrounding rock. Rockburst occurrence risks can be effectively reduced, and safety of constructors and mechanical equipment is guaranteed.

The invention relates to the technical field of coal mine safety, in particular to a water inrush and rock burst composite disaster risk multi-source judgment method which comprises the steps that four fields of original data of a target underground area are collected in real time, and the four fields comprise a stress field, a vibration field, an energy field and a seepage field; extracting multivariate feature indexes from the four-field original data to obtain four-field multivariate indexes; constructing a core composite index based on the four-field multi-element indexes, quantifying the coupling strength of water inrush and rock burst, and judging a disaster dominant type; and calculating a comprehensive risk index based on the four-field multi-element indexes and the disaster dominant type, and judging the risk level of the water inrush and rock burst composite disaster according to the comprehensive risk index. According to the invention, accurate identification and graded prevention and control of composite disasters are realized, and the accuracy and timeliness of early warning of mine disasters are significantly improved.

The invention relates to the technical field of construction monitoring, in particular to a tunnel construction real-time monitoring system based on big data. Comprising a server, a real-time monitoring module and a safety early warning module, comprehensive analysis is carried out by fusing multiple parameters such as stress, temperature, tunnel depth and accumulation of micro-seismic events instead of single-dimensional data, and the accuracy of rockburst risk prediction is improved through a multi-dimensional fusion analysis mode; meanwhile, the observation time window length of multi-dimensional data analysis is dynamically adjusted according to the rockburst risk of each area, and data support is provided for safety in the tunneling process; by performing curve fitting on the rockburst risk index change in the observation time window, the risk change trend of each region can be dynamically monitored, the region with the rising risk can be accurately identified, early warning can be given in advance, and refuge route planning can be performed, so that rapid refuge under the rockburst risk is realized, and the safety of tunnel constructors is guaranteed to the greatest extent.

A method for monitoring a rock burst in ultra-thin coal seams, which method belongs to the technical field of fully mechanized coal mining in ultra-thin coal seams. The method comprises: respectively recording the acquired propagation times and propagation velocities of attenuated seismic waves from artificial seismic sources and the acquired propagation time and propagation velocity of a rock burst, and comparing different seismic wave signals and real-time rock burst signals passing through a mining area; converting the different seismic wave signals and the real-time rock burst signals into digital signals, and determining via comparison whether the digital signals have waveforms during the rock burst; when the digital signals have waveforms during the rock burst, identifying the waveforms of micro-seismic events, and determining the energy intensity of the rock burst; locating rock burst sources, and obtaining an intersection area of the rock burst sources, so as to obtain a seismic source position after a delineated range is reduced; and on the basis of acquired real-time pressure data in underground rock or coal seams, obtaining the positions of the maximum pressure and maximum pressure changes of a seismic source, and the numerical values thereof by means of analyzing a real-time pressure value and a real-time strain change rate. By means of the method, potential hazardous areas can be monitored. The present invention further relates to a system for monitoring a rock burst in ultra-thin coal seams.

The invention belongs to the technical field of coal mining, and discloses a working face initial mining period hydraulic fracturing top cutting drill hole arrangement method based on an asymmetric three-hinged arch structure so as to solve the technical problems existing in initial mining period hard top plate treatment in the prior art. Comprising the steps that the position of a key layer is judged, the fracture distance of a hard roof of a working face is judged, the horizontal position of an upper roof fracture is determined based on an asymmetric three-hinged arch structure, the vertical height, namely the caving height h, of a hydraulic fracturing cut roof is determined, and fracturing holes of conventional straight holes are constructed in a working face open-off cut and transportation roadways and return air on the two sides. Fracturing holes in the cut holes are constructed perpendicular to the coal wall, drilling construction is conducted through drilling equipment, and the steps of conventional drilling fracturing, directional long drilling fracturing and the like are conducted respectively. According to the method, the rock mass strength is reduced, mine pressure disasters caused by overall caving of the large-area suspended roof are effectively controlled, frame pressing and rock burst disasters are avoided, the respective advantages of a conventional straight hole and a directional hole phase are fully played, and a guarantee is provided for safe and efficient stoping.

The invention relates to a deep tunnel rockburst prediction method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the engineering geological conditions of a tunnel site area, carrying out a field ground stress test, and carrying out the ground stress inversion through a multiple regression method; establishing and optimizing a tunnel numerical model in combination with the actual condition of the tunnel; based on field monitoring data, surrounding rock test data and a numerical model, a surrounding rock parameter inversion analysis data set is established, a BP neural network is optimized by adopting a particle swarm optimization algorithm to invert surrounding rock parameters, and the surrounding rock parameter inversion precision and efficiency are improved; numerical simulation and surrounding rock parameter inversion are carried out on the current construction section of the tunnel, the potential rockburst risk of the current construction section is analyzed according to the rockburst criterion, and the rockburst grade and the occurrence probability of the current construction section are judged. The method is closely combined with the actual situation of the tunnel site construction section, and the rock burst prediction accuracy is improved; on the premise that the prediction accuracy is guaranteed, a large amount of engineering cost is saved, and reference is provided for rockburst prediction and site construction.

The invention discloses a hydraulic fracture monitoring system and method based on an underground micro-seismic sensor network, and belongs to the field of coal mining, and the system comprises a plurality of micro-seismic sensors which are used for collecting micro-seismic signals generated by rock fracture; the plurality of data acquisition substations are used for receiving and processing the micro-seismic signals; the data transmission substation is used for converting the micro-seismic signal processed by the data acquisition substation into an optical signal; the micro-seismic server performs micro-seismic event analysis according to the optical signal; the mining network switch is connected with the data transmission substation and the micro-seismic server and is used for network data exchange; the in-mine ring main unit is connected with the mining network switch and the micro-seismic server to form a communication network of the system; in order to solve the problem that hydraulic fracture detection precision is low due to the fact that micro-seismic signals generated by hydraulic fracture and coal mining activities are difficult to accurately distinguish in a complex underground environment, the hydraulic fracture detection method and device distinguish the micro-seismic signals generated by hydraulic fracture and coal mining activities by dividing a fracture area and a mining area, and the real-time monitoring precision of hydraulic fracture expansion is improved.

The invention discloses a supporting safety monitoring system for tunneling rockburst, which relates to the technical field of tunneling rockburst supporting safety monitoring and comprises a tunnel survey module, a rockburst analysis module, a prevention processing analysis module and a processing execution module. In the tunneling process, although an existing support safety monitoring system evaluates the rockburst risk through multiple monitoring means such as stress, deformation, vibration and micro-seismic monitoring, obvious defects still exist, including the problems of inaccurate high-risk area recognition, insufficient monitoring precision, unreasonable support demand distribution, untimely support system response and the like. According to the invention, after analysis is carried out through the rockburst analysis module and the prevention processing analysis module, processing is carried out through the processing execution module; the balanced distribution of pressure is realized, and the pressure or displacement abnormal condition is quickly responded; and by means of integrated analysis and automatic supporting adjustment, the efficiency and safety of tunnel stability maintenance are greatly improved.

The invention provides a mining area catastrophe early warning method, device and equipment based on a rock mass multi-dimensional quantitative characterization model, and the method comprises the steps: inputting the collected multi-field data of a stress field, a rock mass damage field and a penetration field into a multi-field co-evolution model to obtain a corresponding multi-field evolution coefficient, and updating the output of a catastrophe early warning model through the evolution coefficient. A stress-rock mass damage-permeation co-evolution mechanism is constructed, the prediction precision of disasters such as rockburst and water and mud inrush is guaranteed, and advanced early warning and active control of catastrophe are achieved.

The invention discloses a high gas impact ground pressure mine island working face blasting pre-pressure-relief scour prevention method which comprises the steps that a scour inducing key layer in a top plate above an island working face is determined, a top plate pre-splitting pressure relief roadway with specific construction parameters is arranged in the scour inducing key layer, and by means of the mode, elastic deformation accumulated in the scour inducing key layer can be effectively reduced, and one-time pressure relief can be achieved; then, a plurality of blast holes with specific parameters are constructed from the roof presplitting pressure relief roadway to the inducing key layer, finally, the blast holes are sectioned according to the hole depth and sequentially blasted, energy release of each time of blasting is accurately controlled through sectioned blasting, meanwhile, continuous pressure relief is achieved in time and space through sectioned blasting, and the blasting efficiency is improved. The stress of the inducing key layer is effectively released to realize secondary pressure relief; through mutual cooperation of primary pressure relief of the roof presplitting pressure relief roadway and secondary pressure relief of segmented blasting of the blast hole, the mine roof type impact risk facing high gas, an island working face and mining rock burst is effectively reduced, and subsequent safe mining of the island working face is guaranteed.

The invention belongs to the field of engineering risk prediction, and provides a mine rockburst engineering risk prediction method based on a random forest and an analytic hierarchy process, and the method comprises the steps: carrying out the data collection of a to-be-predicted sample, and carrying out the calculation of a comprehensive attribution degree formula; the construction process of the comprehensive attribution degree formula comprises the steps of rock burst evaluation index determination, rock burst engineering case database construction, index calculation set acquisition, attribution degree data set acquisition, data preprocessing, random forest model prediction, weight calculation and parameter fusion. According to the method, through the random forest model and the analytic hierarchy process, the prediction weight of each index is obtained, the accuracy of the comprehensive attribution degree formula is improved, and a more accurate method is provided for evaluation and judgment of the engineering rockburst risk grade.

The invention discloses a scale-effect-free mine dynamic disaster fine monitoring and dynamic early warning method, which comprises the following steps of: arranging a multi-point micro-seismic monitoring network on a coal mine working face, and continuously acquiring and preprocessing micro-seismic signals; an innovative analysis positioning algorithm is adopted to accurately analyze the accurate position and time information of the micro-seismic source; in combination with signal features and positioning data, a four-dimensional joint kernel density estimation and confidence interval theory is innovatively applied, a rock burst risk assessment model is constructed, and a danger level classification standard is determined; and the system calculates risk indexes in real time and dynamically issues early warning. According to the invention, the precision, timeliness and reliability of monitoring and early warning of the dynamic disasters in the mining area are obviously improved, and key technical support is provided for safe production of a coal mine.

The invention discloses a coal mining rock burst prevention and early warning system which comprises a data acquisition system, and the data acquisition system comprises a sensor network, a self-adaptive sensor layout module, a signal sending module and a power supply module. The sensor network comprises a stress sensor, a displacement sensor and a vibration sensor which are arranged in a coal mine tunnel; the signal sending module is used for sending data acquired by the sensor; the power module is used for supplying power to the sensor network and the signal sending module. The coal mining rock burst prevention and early warning system is compatible with three kinds of sensing data of a stress sensor, a displacement sensor and a vibration sensor, and the positions and density of the sensors in a high-risk area are dynamically adjusted. And establishing a coal seam rock burst risk evaluation expert system by using the monitored result, and evaluating the early warning result. The sensor layout strategy of the coal mining rock burst prevention and early warning system is optimized, the monitoring capability of a high-risk area is improved, and the rock burst danger early warning level can be improved.

The invention relates to the technical field of rock burst prevention and control, in particular to a coal rock rock burst prevention and control method based on active structure regulation and control, which comprises the following steps: calculating surrounding rock static load energy and impact critical energy based on mining surrounding rock stress distribution, and inversely calculating critical dynamic load energy for inducing impact; based on the impact critical dynamic load energy and the position of the key layer, the critical dynamic load source energy of key layer fracture is inversely calculated according to an energy attenuation rule; inverting the critical fracture length based on the critical dynamic load source energy of the key layer fracture; and active structure regulation and control are carried out based on the critical fracture length of the key layer induced impact, and the fracture length is controlled to be within a safe range. According to the method, the critical fracture length of the key layer inducing the rock burst can be determined, and then structure regulation and control are accurately carried out.

The invention belongs to the field of coal mine rock burst and gas control, and relates to a high-gas coal seam mining method with cooperation of hydraulic fracturing pressure relief and high drainage roadway, which comprises the following steps: constructing a trend high drainage roadway, and constructing a hydraulic fracturing drill hole and fracturing in an air return crossheading; constructing layer-crossing drilling holes from the trend high drainage roadway to the air return crossheading; tunneling an air return crossheading and ventilating; performing hydraulic fracturing drilling and fracturing in the open-off cut; constructing a layer-penetrating hole from the end part of the trend high drainage roadway to the open-off cut; tunneling a cut hole and ventilating; the air return crossheading is connected with the air return main roadway; bedding drilling and fracturing are carried out in self-air-return crossheading construction; and hydraulic fracturing drilling and fracturing are conducted on the transportation crossheading, the transportation crossheading is tunneled and ventilated, and working face stoping is conducted. Pressure relief is carried out before roadway tunneling, a smooth air flow path can be formed before roadway tunneling and in the tunneling process to extract gas, newly generated gas on a tunnel face can be rapidly extracted, gas extraction can be continuously carried out during stoping, and safety of the whole production process is guaranteed.

The invention provides a rock burst and mine earthquake collaborative treatment method based on regional fracturing, and the method comprises the following steps: selecting a working surface, determining a plurality of rock burst control layers with rock burst risks, then determining a plurality of mine earthquake control layers with mine earthquake risks, and determining a plurality of mine earthquake control layers with mine earthquake risks; performing main control layer analysis on all the rock burst control layers in the fissure zone preferentially to determine a multi-stage rock burst main control layer, performing main control layer analysis on all the mine earthquake control layers above the fissure zone to determine a multi-stage mine earthquake main control layer, and performing logging correction analysis; according to the length and width of the working face, the thickness of the rock burst control layer and the number of the mine earthquake control layers, the layout design of separate layer fracturing is determined, the treatment method achieves comprehensive prevention and control of the mine area risk, the treatment effect on the rock burst and the mine earthquake is remarkable, the disaster risk is reduced, and a powerful guarantee is provided for mine safety production.

The invention discloses an intelligent rock burst early warning and prevention system and method based on a large language model, and the system is characterized in that a rock burst monitoring and early warning module comprises a high-precision sensor group, a rock burst prediction module and a rock burst danger level grading module, and is used for obtaining a grading result of a rock burst danger level; the anti-scour pressure relief measure self-adaptive optimization decision module is used for outputting optimal pressure relief measures and pressure relief parameters; the man-machine interaction module based on the large language model is used for performing engineering interpretation and man-machine interaction; the method comprises the following steps: predicting a rock burst danger early warning result by using the rock burst prediction module based on preorder multi-mode monitoring data; obtaining a grading result of an impact danger grade by utilizing a rock burst danger grade grading module; outputting an optimal pressure relief measure and a pressure relief parameter by using an anti-scour pressure relief measure self-adaptive optimization decision module; and a man-machine intelligent interaction module based on a large language model is used for providing intelligent decision support. According to the system and the method, the rock burst prevention and control scheme can be accurately and intelligently realized in advance.