53 results about "Rock mass strength" patented technology

The invention discloses a deep ore rock stability rapid assessment method and system based on RMR classification, and relates to the technical field of ore rock assessment and mining. Intelligent calibration scanning is carried out through a high-precision scanning device to obtain fracture data of the deep ore rock, the complete deep ore rock stability rapid evaluation method and system are constructed, and efficient acquisition of ore rock quality parameters and RMR preliminary scoring are achieved through digital acquisition equipment and a high-precision scanning technology. A target collaborative calibration mechanism and a data quality index dynamic evaluation system are innovatively introduced, the monitoring influence of instrument system errors on key parameters such as fracture occurrence and rock mass strength is remarkably reduced, and the accuracy and reliability of RMR scoring are improved. The system has strong environmental adaptability, can autonomously identify and suppress noise interference based on a stereographic projection and intelligent filtering parameter adjustment mechanism, and ensures that high-quality point cloud data can still be stably output under complex geological conditions.

The invention relates to the technical field of slope stability prediction, in particular to a slope stability evolution prediction method of a main shock and aftershock sequence cumulative damage mechanism. The method comprises the following steps: determining an initial strength parameter of a slope sliding surface rock-soil body and a dynamic strength attenuation parameter under the action of a main shock and aftershock sequence through an indoor cyclic load test, and establishing a cumulative damage model; three-dimensional side slope geometric features are obtained, and the spatial orientation and the stress direction of a potential sliding surface are determined; calculating a dynamic sliding force in combination with seismic oscillation parameters, and updating an effective strength parameter and a dynamic anti-sliding force of the sliding surface in real time; and carrying out staged calculation and dynamic evolution analysis by adopting a limit equilibrium method or a strength reduction method. According to the method, by introducing a rock-soil body strength accumulated damage and progressive attenuation mechanism under the cyclic action of the main and aftershock sequences, the damage accumulation process and the stability evolution law of the slope stability along with the development of the main and aftershock sequences are described, so that the progressive instability process and the accumulated instability risk driven by the aftershock after the main shock is triggered can be identified.

A combined rock mass strength prediction and floor strength mapping method based on a PCA-KAN fusion neural network comprises the following steps: preparing combined rock mass test pieces with different layer sequences, thickness ratios and interface states, and obtaining multi-dimensional mechanical parameters through a compression mechanical test; carrying out dimension reduction processing by adopting a principal component analysis method, constructing a comprehensive strength index according to a principal component load coefficient, and forming a dimension reduction feature vector; constructing an Attn-KAN model, and adjusting hyper-parameters by adopting a Bayesian optimization algorithm; the performance and interpretability of the model are ensured through layered K-fold cross validation and SHAP analysis; the method comprises the following steps: carrying out a compression mechanical test on a field rock core sample to obtain multi-dimensional mechanical parameters, carrying out dimension reduction processing by adopting a principal component analysis method, and predicting by taking a principal component feature vector as input data to obtain a comprehensive strength predicted value; and adopting a Kriging interpolation method to output an intensity distribution and risk grade partition map. According to the method, accurate prediction of the strength of the combined rock mass can be realized, and spatial visual mapping of the strength of the coal seam floor and the risk level can be realized.

The invention provides a roadway surrounding rock stability judgment method and a classified supporting method, and relates to the technical field of soil layer or rock drilling and mine safety. The method comprises the following steps: S1, determining roadway surrounding rock stability influence factors; s2, dividing a rock mass strength index, a surrounding rock stress index, a surrounding rock integrity index, a roadway size index, a coal pillar ruler habit index, a water spraying index and the like; s3, determining a roof strength stress coefficient, a roof integrity coefficient and a side loosening coefficient; s4, performing field investigation or testing to obtain a classification index value, and determining an index threshold value through a fuzzy clustering method; s5, determining classification of non-impact roadways and impact dangerous roadways according to the roadway impact dangerousness and the impact danger index; and S6, determining a roadway support mode according to the roadway surrounding rock stability classification. According to the method, more comprehensive influence factors are considered, parameters are more convenient to obtain, values of factors required by field test classification indexes are facilitated, and scientific support of roadway surrounding rocks is achieved.

The invention discloses a rock mass parameter inversion method and system based on automatic machine learning, and the method comprises the steps: obtaining temporal and spatial change features from rock mass monitoring data, constructing a feature importance evaluation system, and obtaining a standardized feature vector; according to the coordinated parameter transmission and model synchronization result, rock mass strength and deformation parameters are obtained, a correlation analysis model is adopted to calculate a safety coefficient and a damage probability, and a harmfulness evaluation index is obtained; the method comprises the following steps: acquiring a parameter distribution rule and a change trend, constructing a parameter database system for classified filing and version control, obtaining centralized management platform data, extracting historical tracing information, triggering a dynamic adjustment inversion strategy if the change trend exceeds a preset threshold, and obtaining a real-time updated parameter statistical analysis result for integrated risk prediction. According to the method, the accuracy of rock mass parameter inversion and the real-time performance of engineering risk prediction are remarkably improved, the slope damage probability is reduced, and engineering safety and efficient management are ensured.

A ground-borehole-tunnel combined fine detection method and system, wherein the fine detection method comprises: configuring an ground-borehole-tunnel combined observation mode for tunnel boring machine (TBM) rock-breaking seismic source detection, and carrying out time synchronization and spatial positioning; synchronously acquiring and storing signals by a ground-borehole-tunnel combined detection device when the TBM starts to work; processing parameters in the tunneling process of the TBM and data acquired by a receiving station array to obtain a velocity model and a seismic section of areas in front of and around the tunnel after completing data acquisition; and determining geological conditions of rock masses in front of a working face of the TBM and around the tunnel, based on the obtained velocity model and the seismic section, in combination with the spatial distribution of excavated rock strength indexes and geological drilling data, to realize advanced prediction of geological anomalies.

The invention provides a long-distance high-pressure grouting advanced modification method for a coal mine working face, which belongs to the field of coal mining and comprises the following steps of: drilling a plurality of first grouting holes at intervals along the tunneling direction of a roadway by taking a top plate as a reference; the roadway is tunneled after the first grouting hole is sealed and grouted; a drilling site is formed in the roadway, and a plurality of second grouting holes are drilled through the drilling site; and the second grouting holes are sealed and grouted. The coal mine reinforcing method aims at solving the problem that in the prior art, a coal mine reinforcing mode is difficult to comprehensively reinforce faults, wrinkles, collapse columns, areas with low coal and rock mass strength and peripheral key stress rock stratums. The grouting pre-reinforcement method has the advantages that grouting pre-reinforcement is carried out aiming at faults, folds, collapse columns, roadway tunneling, working face stoping and the like which are affected by low strength of coal and rock masses, the reinforcement effect is improved, the roadway tunneling efficiency is improved, and safe stoping of the working face is guaranteed.

The invention discloses a rock mass mechanical parameter determination method and system for a rock slope blasting excavation damage area, particularly relates to the technical field of rock mass engineering stability evaluation, and is used for solving the problem of misalignment of parameter characterization caused by neglecting a damage area rock bridge and fracture zone composite structure in the prior art. The method comprises the following steps: arranging a point load test in a damage area and identifying non-unimodal distribution data; combining fracture catalog data, fusing penetrability fracture density segmentation capability and a dominant inclination angle direction failure effect to generate a collaborative isolation parameter, and dividing a residual rock bridge and fracture fracture zone spatial distribution mode according to the collaborative isolation parameter; accurately classifying the intensity data into two types of subsets based on space mapping; and finally, macro-mechanical parameters are generated through weighted fusion of the area proportion and the double-source strength statistical value, the rock mass strength prediction precision of the blasting damage area is remarkably improved, and a reliable basis is provided for slope stability analysis and support design.

The application provides an intelligent rock-soil in-hole shear instrument and a use method, and relates to the technical field of stress testing. The shear instrument is provided with an intelligent walking mechanism, and a front-end walking mechanism and a rear-end walking mechanism are arranged for the movement of the shear instrument in a borehole, so that the installation position can be accurately positioned in the borehole. A front-end shear mechanism and a rear-end shear mechanism apply a normal stress to the surrounding rock of the borehole, and a shear force loading mechanism applies a shear stress to the surrounding rock of the borehole. The shear instrument can directly perform a shear test on the rock mass in the borehole, so that the distortion of the rock mass strength parameters caused by stress release, structure disturbance and other factors in the process of taking the rock sample from the underground is avoided. In addition, the structure of the shear instrument has stronger adaptability to the complex underground environment, the mechanical response information of the rock mass at different positions can be more comprehensively obtained, and the accuracy and reliability of the test results are improved.

The application discloses a surrounding rock strength calculation method and system based on prestressed anchor equivalent supporting reaction, relates to the technical field of surrounding rock data processing, and comprises the following steps: obtaining initial mechanical parameters of surrounding rock, tunnel excavation parameters and design parameters of anchor supporting; based on the design parameters, calculating the cohesion increment, the elastic modulus of the anchor surrounding rock composite structure and the equivalent supporting reaction respectively; superimposing the cohesion increment and the initial cohesion of the surrounding rock to obtain the total cohesion; applying the equivalent supporting reaction as a boundary condition to a bearing arch model; parallelly calculating the rock mass strength safety factor, the anchoring system efficiency coefficient and the comprehensive deformation stability coefficient; and synthesizing the rock mass strength safety factor, the anchoring system efficiency coefficient and the comprehensive deformation stability coefficient to obtain the final surrounding rock strength safety factor. Through quantitative analysis, the application reduces the possibility of engineering risk and provides technical support for this special and complex engineering type of large-span tunnels.

The invention belongs to the technical field of geotechnical engineering rock mass strength parameter testing, discloses a parameter calibration method of a Hoek-Brown empirical strength criterion, and solves the problems that an existing method depends on a single data source, is low in fitting precision and does not consider rock mass dynamic disturbance. The method comprises the following steps: acquiring indoor test and field actual measurement multi-source data, and carrying out abnormal value elimination and normalization preprocessing; constructing a rock mass disturbance coefficient dynamic correction model to correct basic parameters; an improved cuckoo-least square fusion algorithm is adopted to fit the core parameters; and the parameter precision is verified in combination with reserved data. The method is comprehensive in data source, parameters can dynamically adapt to working conditions, fitting precision is high, and the method can be widely applied to rock mass strength evaluation of geotechnical engineering such as tunnels and side slopes.

The invention discloses a method for constructing a biaxial compression strength prediction model of a double-hole model sample, which comprises the following steps of: correcting a Mohr-Coulomb strength criterion by combining intermediate principal stress to obtain a Mohr-Coulomb strength formula corresponding to the triaxial compression strength of a complete rock; introducing a hole reduction coefficient, and obtaining a reduction model corresponding to the hole influence; a Mohr-Coulomb strength formula corresponding to the triaxial compression strength of the complete rock is reduced, and a triaxial compression strength prediction model of the double-hole model sample is obtained; and obtaining a biaxial compression strength prediction model of the double-hole model sample. By introducing the hole reduction coefficient, the coupling influence of coexistence of the two holes and geometric configuration of the two holes on the macroscopic strength of the rock mass is clearly quantified, the technical defect that an existing rock mass strength prediction model cannot accurately reflect the strength weakening effect caused by interaction of the two holes is overcome, and compared with a complex full-three-dimensional numerical simulation method, the method has the advantages that the method is easy to implement. The model calculation process is simpler, more convenient and more efficient.

The application discloses a kind of compressed air energy storage cavern operating pressure determination method, comprising the following steps: establishing the elastic mechanics plane strain model of surrounding rock-lining-sealing layer composite structure, deducing the analytical solution of elastic stress and displacement of composite structure;Determine the upper limit of cyclic internal pressure;Introduce the spatial heterogeneity function of surrounding rock parameter, deduce the elastoplastic stress and plastic zone radius expression of composite structure;Introduce the fatigue damage evolution equation to correct rock mass strength parameter, based on the plastic zone radius control condition, solve lower limit pressure.The method can simultaneously utilize initial geostress to constrain surrounding rock deformation and quantify the attenuation of rock mass parameters caused by long-term cyclic loading, while ensuring that surrounding rock does not produce tensile failure and the expansion of plastic zone is controllable, the best operating pressure range and amplitude of compressed air energy storage cavern in the whole life cycle of up to 30 years are accurately quantified, so as to ensure the long-term sealing and safety of the structure, effectively optimize the design parameters, and improve the engineering economy.

This invention relates to an optimized processing method for monitoring surrounding rock displacement during the excavation of a cavern complex. The method includes: determining the rock mass strength parameters and establishing a three-dimensional geological model by combining topographic information of the target area and on-site geological survey data; calculating the corresponding three-dimensional geostress field; determining the approximate range of surrounding rock strength and deformation parameters according to specifications and rock mechanics handbooks based on the surrounding rock category determined by surrounding rock classification and surrounding rock parameters obtained from laboratory tests; calculating the relative deformation of different measurement sections and inverting the optimized surrounding rock parameters using the relative deformation of different measurement sections monitored by multi-point displacement gauges; and verifying the reliability of the inverted surrounding rock parameters by comparing them with the measured relative deformation characteristics of the surrounding rock. The beneficial effects of this invention are: by optimizing the surrounding rock parameters to obtain the excavation response characteristics of the surrounding rock, the on-site monitoring data is corrected and analyzed to correct the multi-point displacement gauge monitoring data, making the monitoring data obtained by the multi-point displacement gauges more accurate.

The application discloses a kind of high pressure aquifer on roadway low-loss fast excavation method, it is related to mine stratum control and roadway support technical field, comprising: obtaining the stratum characteristics and hydrogeological parameters of target mine excavation area, based on stratum characteristics and hydrogeological parameters comprehensive determination TBM excavation layer, and the rock mass integrity and water abundance of excavation layer are evaluated and modified;According to the floor pressure water pressure of mine excavation area, the distance between excavation layer and pressure water and rock mass strength, calculate and dynamically evaluate the water inrush risk of working face, based on water inrush risk evaluation result, determine the excavation speed of TBM and the support form of roadway;In the process of TBM excavation, the surrounding rock in front is advanced with the exploration as it is excavated, and the deformation and water inrush risk of the excavated roadway are monitored and feedback controlled in real time, and the support scheme and water prevention and control measures are dynamically adjusted according to the monitoring result.The application realizes high pressure aquifer on roadway low-loss fast excavation.

The invention relates to the technical field of tunnel engineering, and discloses a tunnel soft rock large deformation assessment method based on multi-source parameter analysis, and the method comprises the steps: firstly constructing an assessment model based on a grey clustering theory, and carrying out the preliminary risk classification of tunnel surrounding rock; after a tunnel face is revealed through tunnel excavation, apparent characteristic data are quantitatively collected, a comprehensive score is calculated, and an apparent large deformation level is determined; meanwhile, a BP neural network model optimized through a particle swarm optimization algorithm is utilized, and the cumulative deformation of the surrounding rock is predicted based on multi-source input parameters; calculating a strength-stress ratio by combining ground stress and rock mass strength data actually measured on site, verifying and correcting the preliminary grade, and determining a final comprehensive large deformation grade; and finally, mapping the grades into support parameters, and executing dynamic adjustment based on monitoring data. According to the method, through the fusion of theoretical calculation, field quantitative scoring and intelligent prediction, accurate judgment and closed-loop control of large deformation of the soft rock are realized, and the construction risk is effectively reduced.

An integrated rapid excavation equipment for rock roadways and a method thereof are provided. The excavation equipment is provided with a multi-function drilling rig on one side of the boom-type roadheader body and a temporary support mechanism above an oscillatory cutting part. Before the excavation equipment breaks the rock, the multi-function drilling rig is used to form deep holes in the rock to be broken, the pulse fracturing system is then utilized to further expand and fracture the deep holes to weaken the rock mass strength, the oscillatory cutting part is subsequently employed to mill the rock mass, and finally, the multi-function drilling rig and the temporary support device are used for bolting and support on the rock mass.

This invention provides a method and related device for real-time prediction of rock mass strength in tunnel excavation advance drilling. By acquiring drilling parameters during the advance drilling process, a mechanism characteristic representing rock breaking strength and energy consumption is constructed based on these parameters. This mechanism characteristic is then input into a baseline prediction model, a residual correction branch, and a physical consistency branch. A fusion gating network generates a first fusion weight corresponding to the residual correction and a second fusion weight corresponding to the physical correction. Based on the baseline prediction value, the residual correction, the physical correction, and the first and second fusion weights, the final predicted value of the uniaxial compressive strength of the rock mass is determined. This invention uses drilling mechanism characteristics as input to construct a collaborative prediction framework consisting of a baseline prediction model, a residual correction branch, and a physical consistency branch. A dual-gating mechanism enables sample-level adaptive fusion and robust output, thereby simultaneously improving prediction accuracy, physical rationality, and engineering applicability.

The invention belongs to the technical field of strip mine slope monitoring, and discloses a strip mine slope rock mass strength prediction system based on multi-source coupling modeling, which comprises the following steps of: firstly, acquiring macro data such as geological exploration data, real-time monitoring data and the like, and micro data such as rock mass fracture evolution signals, rock mass micro porosity and the like; constructing a macroscopic and microscopic multi-scale data system; carrying out the initial noise reduction through adaptive filtering, separating effective signals through wavelet transformation, recognizing abnormal data through an isolation forest algorithm, and guaranteeing the data quality in combination with improved normalization processing; the analysis unit calls multi-scale data to establish a collaborative analysis model of a stress field, a damage field, an environment field, a mining field and a temperature field, and quantifies the influence of multi-field coupling on rock mass strength and a microscopic-macroscopic damage association rule; the prediction unit adopts a bidirectional LSTM model fused with an attention mechanism, differential parameter weights are set according to mining stages, the influence of key events such as blasting impact is strengthened, and the deviation between a prediction result and an actual working condition is greatly reduced.

The embodiment of the invention discloses a hydrofracture simulation method and system based on acoustic emission monitoring, and the method comprises the steps: collecting the cuttable data of a sample rock mass based on a triaxial fracturing device and an acoustic emission monitoring system, and building a joint development scale simulation model; the method comprises the following steps: collecting integrity indexes and strength parameters of a sample rock mass, constructing a dynamic characteristic evolution system, and establishing a rock mass strength deterioration prediction model; checking and optimizing the model based on historical case data; a multi-scale fracturing crack propagation prediction algorithm is constructed, a hydraulic fracturing construction simulation model is established, and the hydraulic fracturing effect of a hydraulic fracturing planning scheme is simulated and generated according to a simulation instruction; and / or, according to the planning instruction, generating a hydraulic fracturing simulation scheme. According to the embodiment of the invention, the spatial distribution characteristics and development laws of the joints in the rock mass can be accurately identified, dynamic prediction of rock mass strength and permeability changes is realized, the controllability and safety of fracturing construction are improved, and the influence of human factors on construction quality is reduced.

The application discloses a rock roadway hot-activated cold-cracking rapid tunneling method based on ground sound monitoring. The tunneling method is characterized by the synergistic process of microwave radiation heating, hydraulic fracturing cold cracking and real-time ground sound monitoring, effectively reduces the rock strength, reduces the impact load of the tunneling machine cutter, greatly reduces the wear rate, significantly improves the tunneling efficiency, and significantly reduces the safety risk of underground operation. The ground sound monitoring system realizes real-time control of the internal crack expansion of the rock mass, solves the problem of lack of real-time monitoring means in the traditional auxiliary fracturing method, and ensures the stability and controllability of the weakening effect. By reducing the replacement frequency of vulnerable parts, reducing maintenance costs and improving tunneling efficiency, a new technical path is provided for efficient tunneling of hard rock roadway, which breaks through the technical bottleneck of traditional methods under hard rock conditions, provides a safe, stable and efficient solution for efficient tunneling of hard rock roadway in coal mines, and has wide application prospect.

This invention belongs to the field of tunnel engineering, specifically relating to a data-mechanism-model-driven intelligent analysis method and system for rock mass strength parameters. It includes: generating a simulation dataset adapted to the current engineering rock mass strength and geological conditions through high-fidelity drilling numerical simulation, and training a multilayer perceptron as a physical information proxy model to achieve physical mapping of the rock drilling process. Secondly, the three-dimensional parameters are processed by three-dimensional spatial aggregation and segmentation. Combining graph neural network analysis and transformer model information extraction, a hybrid loss function for multi-dimensional data is defined. This hybrid loss function, together with the physical loss function, forms an optimized loss function with physical information and drilling data. An automatic optimization process for the loss function is then performed to achieve rock mass strength prediction. This invention can effectively analyze rock mass strength parameters.

In-borehole and out-borehole integrated while-drilling testing equipment for the strength of deep rock mass, comprising a drilling rig (1), an out-borehole drilling parameter testing unit (2), a drill pipe (3), an in-borehole rock strength testing unit (4), a borehole-surface seismic geophone (5), a laser rangefinder (6), a control processing unit (7), and an external drilling device (8). By means of while-drilling tests conducted in the borehole, outside the borehole and at the borehole surface, the discrete rock strength, continuous rock strength, longitudinal wave velocity of rock mass and identification of rock mass structural planes are respectively implemented; and rock mass strength parameters are calculated on the basis of the rock mass structural planes and rock strength information. The present invention can be used for while-drilling measurement of the actual strength parameters of rock mass penetrated by a drill bit, thus being conducive to improving the accuracy of deep underground engineering investigation and providing reliable geological data for engineering disaster risk assessment and support design and construction. The present invention also relates to an in-borehole and out-borehole integrated while-drilling testing method for the strength of deep rock mass.

The application discloses a tunnel surrounding rock loose circle calculation method associated with USC and H-B criteria, and comprises the following steps: S1. associating the strength criteria of USC and H-B; S2. selecting the parameters of the associated criteria; and S3. establishing a tunnel surrounding rock loose circle calculation model. The application aims at the deficiencies of the three commonly used rock mass strength criteria, namely, M-C criterion, H-B criterion and USC, in the current theoretical calculation model of the tunnel surrounding rock loose circle, and proposes a tunnel surrounding rock loose circle calculation model associated with USC and H-B criteria, which can fully utilize the advantages of the three models. The model fully considers the actual geological characteristics of the rock mass and well considers the influence of the intermediate principal stress.

The application discloses a kind of rock mass macro-mechanical parameter acquisition methods based on wave-electricity cooperation, it is related to rock mass mechanical parameter prediction technical field.The application steps are as follows: S1: according to rock mass process damage evolution analysis, and according to the integrity coefficient of rock mass, the physical index of rock mass quality and strength is reacted;S2: according to the longitudinal wave velocity of rock mass and the measured longitudinal wave velocity of rock mass in situ, the longitudinal wave velocity of rock mass is used instead of non-destructive rock wave velocity for analysis;S3: the key to determine rock mass mechanical parameter is to determine rock mass grade and structure surface category, considering rock mass joint and integrity condition, rock mass grade is determined in combination with GSI scoring method.The application determines rock mass integrity coefficient and damage variable by the detection of acoustic wave and resistivity and the combination of detection results, and determines rock mass strength and deformation parameter according to Hoek-Brown empirical criterion, and obtains the conversion relationship between rock mass and rock mass parameter based on GSI scoring standard in combination with rock mass damage analysis.

The application discloses a loose broken coal body roof grouting reinforcement device and a reinforcement method, and particularly relates to the technical field of tunnel construction. The loose broken coal body roof grouting reinforcement method improves the cohesion, elastic modulus and internal friction angle of surrounding rock through fissure filling and compaction and network skeleton effects, and cements the loose broken coal body into a whole, thereby effectively improving the rock mass strength and the bearing capacity of the surrounding rock. The full-length anchoring of the anchor cable is realized through the grouting anchor cable. After the hollow grouting anchor cable is grouted, part of the grout flows to the periphery of the ordinary anchor rod and anchor cable due to high pressure, so that the original anchor rod and cable become full-length anchoring, and at the same time, the anchor cable itself also achieves full-length anchoring, so that the anchor cable and the surrounding rock form a whole, the anchoring force of the anchor rod and the anchor cable is improved, the prestress of the anchor cable is ensured, the active support of the anchor cable to the broken rock stratum is truly realized, the rock mass pressure load is transmitted to the deep and stable rock mass through the anchor cable, and the safety and reliability of the roof support are ensured.

The invention provides a multi-information fusion tunnel face near-front rock mass comprehensive sensing method and system, and the method comprises the steps: carrying out the geological forecast in a tunneling process through advanced geological forecast, and carrying out the dynamic weight fusion of a plurality of forecast results, and obtaining a prior geological space sequence; constructing a space-time coupling deep learning model, extracting priori knowledge or rules related to rock mass strength and integrity indexes, converting the priori knowledge or rules into mathematical constraints, constructing a loss function, and performing training; forming a time sequence characteristic matrix by time sequence data of the heading machine in real-time construction, and inputting the time sequence characteristic matrix and a prior geological space sequence into the trained time-space coupling deep learning model at the same time to obtain predicted rock mass strength and integrity indexes; and a hole wall image is collected in real time through a hole wall photographing system, hole wall integrity and water yield information are identified, and an identification result is compared with a prediction result for optimization. According to the method, the state of the rock mass near the front of the tunnel face can be recognized and predicted in real time, and the geological adaptability of TBM control in the tunneling process is improved.

The utility model provides a drainage structure for reducing rock mass frost heaving damage, a slope of a rock mass comprises a first area and a second area, the temperature difference of the first area is larger than that of the second area, the first area is provided with a plurality of first drainage holes inclining upwards, and the second area is provided with a plurality of second drainage holes inclining upwards. A first drainage pipe is arranged in the first drainage hole, the outlet end of the first drainage pipe is sleeved with a thermal insulation sleeve, the thermal insulation sleeve is located in a surface crack layer of the slope, and the surface of the first drainage pipe and the surface of the thermal insulation sleeve are each provided with an inverted filter thermal insulation layer; the second area is provided with a plurality of second drainage holes which are inclined upwards, second drainage pipes are arranged in the second drainage holes, and inverted filter layers are arranged on the surfaces of the second drainage pipes; and water permeable holes are formed in the upper parts of the first drainage pipe, the second drainage pipe and the thermal insulation sleeve. The utility model solves the problems that the drainage effect is influenced and the slope stability is influenced due to the damage of the rock mass strength caused by the freeze-thaw effect.

The invention provides high-efficiency hard rock cutting equipment capable of releasing stress through global advanced slotting. The high-efficiency hard rock cutting equipment comprises an equipment machine body, the cutting arm rack is mounted at the front end of the equipment machine body and can be subjected to posture adjustment; two groups of first jet flow parts which are independently controlled are arranged on the first jet flow device and are respectively used for carrying out pre-jet flow slotting on rock masses on the left side and the right side; the cutting roller is rotationally arranged at the front end of the cutting arm rack and used for rotationally cutting the rock mass subjected to jet weakening, and a second jet part used for advanced jet slotting of the rock mass in front is arranged on the cutting roller; the pumping mechanism is arranged in the cutting arm rack and is used for pumping a high-pressure jet medium into the first jet part and the second jet part; and the jet system is communicated with the pumping end of the pumping mechanism and is used for storing, mixing and conveying a jet medium. According to the cutting equipment, directional advanced slotting is conducted on rock mass in any to-be-cut area of a roadway section, a free face is constructed on a working face in advance, the internal stress of the rock mass is released, the strength of the rock mass is weakened, then cutting consumption is reduced, and cutting efficiency is improved.