594 results about "Rock burst" patented technology

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.

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 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 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 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 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 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 relates to the field of surrounding rock supporting, and provides an aging cracking and multi-source dynamic response self-adaptive supporting system and method in order to improve the supporting reliability, and the state of surrounding rock is sensed in real time through a multi-source sensing module; the aging damage model can comprehensively and dynamically evaluate the damage state of the surrounding rock of the mixed rock, and progressive instability accidents such as hysteresis rock burst can be effectively prevented; the dynamic disturbance model can analyze the damage effect of dynamic loads such as TBM tunneling and blasting on mixed rock surrounding rock in real time, a millisecond-level dynamic risk assessment result is provided for a self-adaptive support system, and instant instability accidents are effectively restrained. The self-adaptive support of the dynamic execution module is realized by combining the parallel decision of the aging damage model and the dynamic disturbance model, the problem that the traditional support depends on static geological data and is difficult to adapt to the dynamic damage change of the surrounding rock is solved, the stability and reliability of the support system are remarkably improved, and the engineering cost and the safety risk are reduced.

The invention relates to the technical field of coal mine safety, in particular to a mine rock burst early warning, prevention and control method, device and equipment and a medium, and the method comprises the steps: obtaining multi-source monitoring data based on a high-precision positioning method; performing feature extraction on the multi-source monitoring data to obtain deep feature data; constructing a network prediction model, and training the network prediction model by using the deep feature data to obtain a trained network prediction model; and constructing a three-dimensional cellular automaton model of the coal and rock mass fracture process, and simulating a prevention and control strategy by using the three-dimensional cellular automaton model of the coal and rock mass fracture process to obtain a final prevention and control strategy. By integrating multi-source data such as coal and rock mass microstructure parameters, geological conditions and mining processes and combining machine learning and dynamic weight distribution technologies, accurate prediction and active prevention and control of rock burst risks are realized, and the problems of low early warning precision, poor real-time performance and weak adaptability in the prior art are solved.

The invention discloses a combined well spacing method for a ground vertical well and an underground horizontal well, which comprises the following steps of: determining estimated fracturing information of the vertical well and estimated fracturing information of the horizontal well according to acquired fracturing construction information of a surrounding mine; the width of the to-be-mined working face and the lateral mining-induced fracture range of the mined working face are obtained, vertical well construction information is determined according to the width of the to-be-mined working face, the lateral mining-induced fracture range and vertical well estimated fracturing information, fracturing construction is conducted on the thick and hard roof based on the vertical well construction information, and the vertical well fracturing range of a ground vertical well is obtained; and horizontal well construction information is determined according to the horizontal well estimated fracturing information and the vertical well fracturing range, and fracturing construction is conducted on the impact main control rock stratum based on the horizontal well construction information. According to the combined well spacing method for the ground vertical well and the underground horizontal well, the well spacing scheme that the ground vertical well and the underground horizontal well are matched with each other is adopted, sufficient fracturing and pressure relief can be conducted on a thick and hard top plate, and cooperative prevention and control over rock burst and mine earthquake disasters are achieved.

The invention provides a large cavern group design method for a hydropower station under an extremely high crustal stress condition. The method comprises the following steps: S1, analyzing a three-dimensional initial crustal stress field of a factory; s2, rock mass mechanical characteristic analysis; s3, underground powerhouse cavern group surrounding rock stability analysis; s4, carrying out design analysis on an anchor cable pre-tightening coefficient and a supporting opportunity; s5, performing micro-seismic early warning analysis on deformation and fracture of the surrounding rock of the cavern group of the underground powerhouse; and S6, providing underground powerhouse rockburst criteria in combination with measured rockburst data: providing underground powerhouse rockburst occurrence and evolution mechanisms based on rock mass characteristics, rockburst characteristics, micro-seismic data and monitoring results, analyzing surrounding rock stress release, relaxation and deformation characteristics, and evaluating surrounding rock stability. The design safety and reliability of the large cavern group of the hydropower station are improved, the construction risk and cost are remarkably reduced, and meanwhile the requirement for environmental protection is met. The improvement measures act together to ensure smooth implementation and long-term stable operation of an engineering project.

The invention relates to the technical field of mine safety, in particular to a rock burst prediction method based on dynamic frequency domain decomposition, relative event coding and dynamic sparse attention. According to the method, data decomposition of Fourier transform, adaptive frequency domain noise reduction, relative event coding and a dynamic sparse attention mechanism are combined, key features in micro-seismic data can be effectively extracted, and the accuracy and robustness of rock burst prediction are improved. The method is excellent in performance in rock burst prediction, the problems of noise interference, error accumulation and the like can be effectively solved, and reliable technical support is provided for accurate early warning of rock burst.

The invention provides a novel multi-source information and damage coupled coal mine rock burst prediction method. The method comprises the following steps that rock mass fracture signals, a three-dimensional stress field and acoustic emission parameters are collected in real time through a micro-seismic monitoring array, an optical fiber stress sensor and a rock sound probe; an LSTM-attention fusion module is adopted to carry out spatio-temporal feature extraction on the collected multi-source data, an attention weight coefficient is generated, and a weighted fusion feature vector is output; calculating the rock mass damage degree based on a statistical damage mechanics Weibull distribution theory; based on the law of conservation of energy and the damage mechanics theory, a dynamic energy threshold function is constructed, the mining time effect and the rock mass damage state are incorporated into a quantitative evaluation system, and a dynamic energy accumulation rate threshold function is established by introducing a time accumulation effect and a damage coupling term; when the real-time energy accumulation rate is larger than or equal to the energy accumulation rate threshold value and the time derivative of the energy accumulation rate is larger than the sudden change threshold value, third-level early warning is triggered. According to the invention, advanced accurate early warning of the rock burst can be realized.

The invention discloses a multi-source information real-time identification and positioning method for a coal mine rock burst risk area. The method comprises the following steps: integrating a micro-seismic system, a rock noise system, a stress system and a geological system to construct an acquisition network; extracting multi-source characteristic indexes and carrying out space-time unification; establishing a dynamic weighted risk fusion model to calculate a comprehensive risk index RI of a three-dimensional grid unit, wherein the weight of the comprehensive risk index RI is dynamically and adaptively adjusted along with mining; based on the RI value, a high-risk area is identified and positioned through three-dimensional visualization, and graded early warning information is generated; according to the invention, a time-space synchronous multi-source information acquisition network is constructed, and uniform preprocessing and feature extraction are carried out on four types of data of microseism, rock noise, stress and geologic structure, so that deep fusion and collaborative analysis of multi-source information are realized, and an information island phenomenon existing in traditional monitoring is overcome; and the judgment on the rock burst risk is more comprehensive.

The invention discloses a method and a system for identifying a micro-seismic signal mode of a surrounding rock rockburst risk, particularly relates to the technical field of deep underground engineering rockburst monitoring, and is used for solving the problem that an existing micro-seismic early warning model lags in identifying a rock mass damage evolution critical state. The method comprises the following steps: collecting a surrounding rock micro-seismic event signal in real time, intercepting an event sequence based on a sliding time window, and calculating a space-time fractal dimension; extracting an event space density field in the window to calculate an energy gradient, and marking a strong interaction cluster of which the energy gradient exceeds a threshold value; storing the fractal dimension change sequence in real time; performing characteristic frequency band filtering on the signals in the window, calculating a ratio of an energy ratio entropy descent rate to a fractal dimension descent rate, and determining a damage acceleration state when the ratio is a supercritical coefficient; generating a rockburst high-risk instruction when the strong interaction cluster and the damage acceleration state coexist and the fractal dimension descent rate is supercritical threshold; the multi-dimensional collaborative identification of the rockburst precursor is realized, and the early warning accuracy and timeliness are remarkably improved.

The invention discloses an advanced blasting pressure relief method based on rock burst prediction, and the method achieves the precise recognition and efficient intervention of rock burst risks through the combination of a micro-seismic monitoring technology, energy thermodynamic diagram modeling and an intelligent algorithm. According to the method, micro-seismic data is deeply analyzed, an abnormal activity area is identified, an energy thermodynamic diagram is constructed, a stress concentration situation is visually displayed, and risk level prediction is carried out in combination with historical data, so that early warning accuracy and response timeliness are improved, an optimal blast hole position in a high-risk area is automatically identified by adopting a density-based clustering algorithm, and the early warning efficiency is improved. Classification and directional blasting pressure relief are implemented according to risk levels, local stress is effectively released, the occurrence probability of rock burst is reduced, the overall process is highly automatic, monitoring, prediction, decision making and intervention are integrated, and the method is suitable for various complex coal mine geological environments.

The invention discloses a deep mine rockburst risk grading early warning and active pressure relief system and method, and relates to the technical field of rockburst risk early warning. The system comprises a multi-source parameter sensing module, a risk grading early warning module, an active pressure relief execution module, an intelligent control center module and a data storage and interaction module, wherein the multi-source sensing module comprises a distributed sensor and a mobile inspection robot; risk early warning is divided into four levels, and sensitive features are extracted after data are preprocessed; active pressure relief comprises fixed-point and regional pressure relief equipment; the control center uses a redundant architecture to automatically match a pressure relief scheme; and data storage retains more than or equal to 5 years of data, and multi-system docking is supported. The rock burst early warning accuracy and the pressure relief pertinence are improved, multi-module closed-loop cooperation is achieved, emergency response is efficient, false alarm, missing alarm and pressure relief blindness are reduced, roadway stability and personnel safety are guaranteed, and support is provided for safe and efficient mining of deep mines.

The invention relates to a method and system for determining a rock burst risk based on a micro-seismic source parameter, and the method comprises the steps: determining a to-be-predicted region and a micro-seismic source parameter threshold value corresponding to the to-be-predicted region, obtaining a first micro-seismic source parameter of the to-be-predicted region in a future time period, and determining a rock burst risk based on the first micro-seismic source parameter and the micro-seismic source parameter threshold value. Obtaining a first result of the rock burst risk of the to-be-predicted area in the future time period, obtaining a current second micro-seismic source parameter of the to-be-predicted area, obtaining a second result of the current rock burst risk of the to-be-predicted area based on the second micro-seismic source parameter and a micro-seismic source parameter threshold value, and summarizing the first result and the second result to obtain a prediction result of the rock burst risk of the to-be-predicted area. According to the method and the device, the accuracy and the efficiency of rock burst risk assessment are improved, a potential rock burst risk area can be found in advance based on the target result of the rock burst risk, and safe production of a coal mine is guaranteed.

The invention discloses a rock burst ultra-deep hole blasting unloading wave absorption coupling prevention method for a steeply inclined coal seam, and belongs to the technical field of coal mining, and the method comprises the following steps: step 1, determining an unloading target rock stratum where a working face top plate and / or bottom plate stress concentration area is located in the steeply inclined coal seam; 2, determining a wave absorbing target rock stratum between the unloading target rock stratum and a roadway on the corresponding side of the working face of the steeply inclined coal seam; 3, arranging a plurality of unloading blast hole groups in the roadway; step 4, arranging a wave absorbing blast hole group at the position where the unloading blast hole group is arranged in the roadway; 5, all the wave absorbing blast holes are detonated, and all the unloading blast holes are detonated; and 6, after blasting is completed, the near-surface surrounding rock of the roadway on the corresponding side subjected to blasting serves as a supporting bearing layer for combined supporting. According to the invention, a three-level cooperative control mechanism of source unloading, propagation weakening and terminal bearing is realized, and steeply inclined coal seam clamping type roof and floor rock burst disasters are prevented fundamentally.

The invention provides a coal mine rock burst dynamic early warning method and device based on microseism. According to the method, dynamic prediction and real-time early warning of the rock burst risk can be realized, the adaptability of the early warning model to the mining process and the geological condition change is improved, the prediction hysteresis is effectively reduced, and the early warning accuracy is improved.

The invention provides a rock burst prediction method and device, computer equipment and a storage medium, and belongs to the technical field of rock burst monitoring, and the method comprises the steps: generating support resistance-micro-seismic time sequence data according to a daily micro-seismic index and a mine pressure index of a target area; extracting a time sequence characteristic index of the support resistance-microseismic time sequence data; analyzing the precursor response characteristics of the rock burst as physical early warning indexes; fusing the physical early warning index and the time sequence characteristic index to obtain a target characteristic; an LSTM-NOA time sequence early warning model is constructed; the LSTM-NOA time sequence early warning model is trained, and a rock burst prediction model is obtained; and inputting the target features into a rock burst prediction model to obtain a rock burst risk level prediction result. In this way, professional domain knowledge and historical experience summarization are fully fused with deep learning, and the accuracy and real-time performance of rock burst monitoring and early warning are improved.

The invention discloses an early warning processing method, device and equipment for mine micro-seismic monitoring and a medium, and relates to the technical field of mine safety engineering.The method comprises the steps that when mine micro-seismic early warning is triggered, whether a rock burst risk exists in a current mine area or not is predicted, and a current prediction result is obtained; if the current prediction result represents that the rock burst risk exists, a target dangerous area in the current mine area is recognized, and danger relieving measures and monitoring-recovery operation are executed on the target dangerous area; if the rock burst risk does not exist, whether the drilling cutting data of the current mine area is larger than a first drilling cutting amount threshold value or not is judged, and a drilling cutting data judgment result is obtained; if the drilling cutting data judgment result is that the drilling cutting data is greater than or equal to the first drilling cutting amount threshold value, judging that the rock burst risk exists in the current mine area, and skipping to execute the step of identifying a target dangerous area in the current mine area; and if the drilling cutting data is smaller than the first drilling cutting amount threshold value, production limiting-monitoring-recovery operation is executed. And an accurate pre-warning post-processing flow is realized.

The utility model relates to a constant-resistance yield anchor rod and anchor cable, and belongs to the technical field of civil engineering, rock and soil slope treatment and mining engineering supporting. The anchor rod comprises a yield pipe, a rod body, an extrusion head and a force transmission system, the yield pipe is a straight circular steel pipe, periodic indentation lines are arranged on the middle section of the outer wall of the yield pipe, and constant-resistance energy absorption is achieved through gradual buckling deformation of the indentation lines; the rod body penetrates through an inner cavity of the yield pipe, an extrusion head with hardness higher than that of the pipe wall is fixed at the near end, and a birdcage-shaped expanding device is arranged at the far end to enhance anchoring; the force transmission system ensures the load transmission efficiency through a supporting base plate and a force transmission ring. According to the utility model, the contradiction between material strength and ductility is converted into controllable buckling deformation through structural collaborative design, and the controllable buckling deformation anchor rod has the advantages of low cost, long displacement energy absorption (millimeter-meter level), controllable bearing capacity level (yield pipe > extrusion head > rod body), multi-scene adaptation and the like, and is suitable for rock-soil body support under the conditions of earthquake, rock burst and large deformation of surrounding rock.

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 discloses a deep mine rockburst risk dynamic assessment and active prevention and control system, and relates to the technical field of rockburst risk assessment and prevention and control. Comprising a data acquisition module, a preprocessing module, a dynamic evaluation module, an active prevention and control decision module, a prevention and control execution module, a system monitoring and feedback module and a data storage and authority management module, is interacted through a mining intrinsic safety type communication network, adapts to underground working conditions and supports 24-hour operation; the data acquisition module deploys multiple types of monitoring equipment, and dynamically adjusts frequency encryption transmission; the preprocessing module filters noise and interpolates to ensure data integrity; the dynamic evaluation module updates the risk level in combination with indexes and algorithms; the decision-making module matches the prevention and control scheme and needs to be audited; the execution module is in butt joint with equipment control parameters; the monitoring module measures the state calculation effect; and the storage and authority module performs dual-backup, and performs hierarchical authorization trace leaving. According to the method, the problems of lag and low efficiency of traditional rockburst prevention and control are solved, evaluation accuracy and prevention and control efficiency are improved, risk closed-loop management is realized, safety and cost are balanced, and mining safety is guaranteed.

The invention mainly relates to the technical field of underground engineering safety, and provides a tunnel rockburst pretreatment method and system based on multi-physics field parameters while drilling in order to improve the rockburst risk recognition and pressure relief effect through the multi-physics field parameters in the deep hard rock tunnel drilling process. The core of the method is that a surrounding rock three-dimensional geologic model is established based on multi-source physical field parameters in the surrounding rock while-drilling process; establishing a rockburst risk index prediction model of the surrounding rock three-dimensional geologic model based on an improved D-S evidence theory to calculate a rockburst risk index; and determining simulated pressure relief parameters according to the rockburst risk indexes, performing simulated pressure relief, judging whether the change rate of the multi-source physical field parameters meets the set requirements or not, if so, performing pressure relief according to the simulated pressure relief parameters, otherwise, re-determining the pressure relief parameters, and performing pressure relief until the change rate of the multi-source physical field parameters meets the set requirements.

The invention provides a method for predicting an underground rock fracture risk in a carbon dioxide sequestration project, and the method comprises the steps: obtaining carbon dioxide time sequence pressure data of a plurality of monitoring points in a carbon dioxide sequestration region; performing feature analysis on the carbon dioxide time sequence pressure data to obtain spatial features and time features; fusing the spatial features and the time features to obtain space-time fusion features; geological parameters and rock fracture historical data of the carbon dioxide sequestration area are obtained; performing characteristic engineering processing on the geological parameters and the rock fracture historical data to obtain geomechanical characteristics; inputting the space-time fusion features and the geomechanical features into a pre-trained rock fracture prediction model to obtain rock fracture prediction data; wherein the rock fracture prediction model is a CNN-LSTM hybrid model. According to the technical scheme, the underground rock fracture risk in the carbon dioxide sequestration project can be accurately predicted.