390 results about "Underground cavern" patented technology

The invention provides an underground cavern surrounding rock parameter collaborative sensing method and system based on multi-source data fusion, and the method comprises the steps: firstly deploying a sensor group comprising an optical fiber strain sensor, a micro-seismic monitoring array, a three-dimensional laser scanner and an acoustic emission sensor, the optical fiber strain sensor is arranged along the axis of a cavern, the micro-seismic monitoring array is deployed according to a triangular network, and the three-dimensional laser scanner is arranged along the axis of the cavern; performing time synchronization on the sensor group through a synchronization pulse signal, establishing a local coordinate system at a central point of a cavern entrance, uniformly collecting data, generating a time-aligned data stream and a space-unified data set, and triggering associated sensors to enter a hierarchical response collection mode according to a strain rate and a vibration signal; and generating a multi-modal monitoring data set, finally carrying out dynamic weight distribution and conflict resolution processing on the multi-modal monitoring data set, extracting surrounding rock deformation characteristics and fracture event density, and outputting a surrounding rock stability evaluation result, thereby realizing underground cavern surrounding rock parameter collaborative perception and stability evaluation.

The invention relates to the technical field of rock mechanics, and discloses a rock three-dimensional reconstruction method and system based on multi-source information fusion, and the method comprises the steps: obtaining and preprocessing data, carrying out the spatial feature learning of a fusion feature vector through a 3D-CNN network, and constructing a three-dimensional voxel model of rock microscopic damage; converting the fused image data into a point cloud model of the underground cavern surrounding rock structure by adopting a three-dimensional reconstruction algorithm based on point cloud, and constructing a digital twin framework of the underground cavern surrounding rock structure based on an implicit surface reconstruction algorithm; feature parameters output by the three-dimensional voxel model and the digital twinning framework are used as input, and the optimal supporting opportunity and supporting parameters are output through an LSTM-CNN fusion model; in the underground engineering construction process, surrounding rock deformation data are collected in real time, and a supporting scheme is adjusted in real time through a depth deterministic strategy gradient algorithm; according to the method, the scientificity and timeliness of support design under complex geological conditions can be improved.

The invention provides an underground cavern construction method generation method and system based on multi-source data fusion, and the method comprises the steps: collecting geological exploration, construction machinery operation and environment monitoring data, carrying out the time-space alignment processing, generating a standardized monitoring data set, carrying out the multi-source feature extraction of the standardized monitoring data set, and carrying out the multi-source feature extraction of the standardized monitoring data set; obtaining a construction state feature set and a geological risk feature set, inputting a reinforcement learning model for multi-target parameter optimization to obtain a preliminary construction method parameter set, inputting the preliminary construction method parameter set into a digital twin simulation system for simulating mechanical response, and iteratively optimizing parameters when a preset safety threshold is exceeded to obtain a preliminary construction method parameter set; the optimized construction method parameter set is matched and verified with a preset construction specification knowledge base, manual correction is carried out when illegal items exist, finally, full-period risk prediction is carried out on the corrected construction method parameter set, dynamic regulation and control are carried out according to a construction risk distribution map, a final construction method instruction set is generated, and scientific and intelligent construction method generation is achieved.

The invention relates to the technical field of route planning, in particular to an underground cavern inspection method and system. The method comprises the following steps: acquiring geological survey data, micro-seismic monitoring data and historical deformation monitoring data; according to the geological survey data and the micro-seismic monitoring data, rock mass viscoelasticity local modeling is carried out, and a rock mass viscoelasticity model is obtained; performing deformation trend prediction according to the rock mass viscoelastic model and the historical deformation monitoring data to obtain deformation trend data; performing deformation disturbance resonance analysis according to the deformation trend data and the micro-seismic monitoring data to obtain deformation disturbance resonance data; performing risk area grading on the deformation disturbance resonance data to obtain risk area grading data; and generating a routing inspection graph according to the risk area grading data to obtain routing inspection graph data so as to carry out underground cavern routing inspection auxiliary operation. The method accurately identifies the potential risk area, dynamically plans the inspection task, and improves the inspection efficiency and decision timeliness.

The invention provides an intelligent safety and stability assessment method, system and device for an underground cavern and a medium, and the method comprises the following steps: S1, building a three-dimensional geological model of the underground cavern according to initial geological exploration data; s2, multiple monitoring instruments are pre-buried in key parts of the underground cavern, and monitoring data are collected in real time; s3, constructing an underground cavern safety and stability evaluation model based on a deep learning algorithm; s4, inputting real-time monitoring data into an evaluation model, combining historical monitoring data and geological model information, analyzing and comparing with a three-dimensional numerical calculation result, adjusting geological parameters, performing reconstruction evaluation, and outputting a safety and stability level; and S5, according to an evaluation result, automatically generating early warning information and processing suggestions. According to the method, the problems of poor real-time performance and low data utilization rate of traditional evaluation under complex geological conditions are solved, and the intelligent level of construction safety monitoring of underground cavern groups such as hydropower stations and pumped storage projects can be effectively improved.

The invention provides a blast suppression method and system for an underground cavity of a pumped storage power station. The method comprises the following steps: configuring and deploying a multispectral gas sensor array; carrying out gas explosion limit calculation and risk assessment; calculating the risk level of explosion by using the prediction model; performing graded explosion suppression operation by using a graded explosion suppression execution module; combustible gas is guided to enter an inerting area by utilizing a space flow guide optimization module; and the ignition source blocking module is used for cooperative control to block an ignition source. The technical problems of low mixed gas explosion risk prediction and monitoring precision, low explosion suppression efficiency, slow response speed and relatively high operation and maintenance cost are solved.

The invention relates to the technical field of underground cavern construction, and discloses a layered rock mass cavern excavation parameter dynamic optimization decision system and method, and the system comprises a rock stratum database building module, an excavation simulation module and an excavation model optimization module. The method comprises the following steps: collecting basic data such as engineering geological conditions, rock mechanical properties and ground stress distribution; establishing an initial rock stratum parameter database through a three-dimensional ground stress test and rock mass permeability characteristic analysis; establishing a stratified rock mass excavation simulation model, simulating a failure mode of a stratified rock stratum under excavation disturbance, and analyzing stress redistribution and a potential failure area; determining a cavern axis direction, an excavation sequence and support parameters according to a simulation result; acquiring surrounding rock deformation, loosening circle expansion and seepage characteristic change; and utilizing a damage proximity index to predict the distribution of the loose circles, and optimizing the stratified rock mass excavation simulation model. The method can adapt to various complex working conditions from a sand shale interbed to an ultra-deep fractured stratum and the like.

The invention relates to the technical field of underground cavern surrounding rock displacement prediction, in particular to a high-stress large underground cavern group surrounding rock displacement prediction method. According to the technical scheme, the method comprises the following steps that data collection and arrangement are carried out, and various types of sensors are arranged at different parts of a high-stress large underground cavern group to collect data; the method comprises the following steps: performing preliminary screening, cleaning and normalization processing on collected data, performing feature engineering and data enhancement work, including time-frequency domain feature extraction, wavelet transform-based data decomposition and reconstruction and a data enhancement strategy, and constructing a hybrid neural network model fusing a convolutional neural network and a gating circulation unit. Through multi-source accurate data acquisition and processing, depth feature engineering, hybrid neural network construction training and scientific evaluation and early warning, the accuracy, reliability and timeliness of high-stress large underground cavern group surrounding rock displacement prediction are remarkably improved, powerful support is provided for engineering safety guarantee, and risks and losses are effectively reduced.

The invention provides an underground cavern three-dimensional modeling method and system based on dynamic parameterization node regulation, and the method comprises the steps: firstly obtaining a multi-source sensing data set which covers section contour point cloud, geological environment and real-time monitoring data, generating an initial section contour curve based on the section contour point cloud data, obtaining a dynamically adjusted curve and node regulation and control parameters through dynamic parameterization node regulation and control, and generating a stretching path reference line according to the cavern axis coordinate parameters; the adjusted section profile curve is axially stretched to generate a three-dimensional cavern curved surface containing a local three-dimensional curved surface set, finally, section stitching is conducted on the local three-dimensional curved surface set, a connection area topological structure is generated according to joint direction parameters and optimized, and therefore an optimized three-dimensional cavern model is generated. Therefore, more accurate and flexible underground cavern three-dimensional modeling is realized.

The invention relates to the field of compressed air energy storage and underground space structures, in particular to a high-pressure air storage underground cavern plugging structure and an arrangement structure.The outer side of the middle of a plugging body is connected with an anti-sliding protruding part, and the anti-sliding protruding part can reduce the possibility of sliding between the plugging structure and surrounding rock; the anti-sliding plugging capacity of the plugging structure is improved, the length of the plugging structure can be effectively reduced, the construction cost is reduced, and the construction period is shortened; moreover, a controller, a first pressure detection sensor and an electromagnetic air pressure valve are further arranged, during maintenance, a maintainer controls the electromagnetic air pressure valve and the inner side sealing door to be opened and closed through the controller, and pressure reduction and exhaust are conducted through a pressure reduction section till the gas pressure in the high-pressure gas storage chamber and the gas pressure in the maintenance channel are balanced; the pressure difference between the maintenance channel and the high-pressure gas storage cavern is effectively controlled, the possibility of damage to maintenance personnel and equipment is reduced, and the maintenance safety is remarkably improved.

A compressed air energy storage underground cavern model test system designed according to a preset joint disclosed by the present invention comprises a simulation cavern, a loading system, a measurement system and a protection device, the measurement system comprises a plurality of temperature sensors, a plurality of pressure sensors, a plurality of crack meters and a plurality of optical fiber gas sensors, and the simulation cavern comprises a steel cylinder sealed by a sealing door. A deformation simulation layer, a lining layer, a leveling layer, a geotechnical cloth layer and a flexible sealing layer are arranged on the inner wall of the steel cylinder, a plurality of longitudinal exhaust pipelines are embedded in the joint of the deformation simulation layer and the lining layer, a plurality of exhaust pipes are inserted into the cylinder wall of the steel cylinder, each exhaust pipe is communicated with one longitudinal exhaust pipeline, a plurality of longitudinal prefabricated cracks are distributed in the lining layer, and the longitudinal prefabricated cracks are communicated with the geotechnical cloth layer. A crack meter is embedded in the middle of each longitudinal prefabricated crack, and the simulation cavern is communicated with the loading system through an air inlet in the sealing door. The test system is low in cost, convenient to operate, large in scale, comprehensive in test item, high in test precision and high in reference value for actual engineering.

The invention discloses a preparation method of a green high-performance industrial solid waste-based grouting material, and belongs to the field of industrial solid waste treatment and grouting reinforcement, and the preparation method comprises the following steps: performing dry mixing on red mud, slag, fly ash and cement which are dried and ground to specified fineness according to a preset proportion to obtain a uniform dry material; preparing a composite alkali activator from water glass and sodium hydroxide according to a molar ratio of 3: 1, premixing the composite alkali activator with water, and adding the dry material in batches to form wet slurry; and carrying out high-speed shearing and stirring on the wet slurry, and standing and curing to obtain the solid waste-based slurry which can be directly used for grouting. The method obviously improves the solid waste utilization rate, relieves the environmental pressure, and is suitable for related projects such as stratum settlement control, gushing water blocking, mine roadway broken rock mass supporting and underground cavity concrete lining crack repairing in tunnel and subway projects.

The invention relates to an underground cavern surrounding rock three-dimensional vibration measurement method and device, and the method comprises the steps: generating a light spot meeting a preset clear condition through beam splitting laser; acquiring the vibration condition of the laser source and the vibration condition of the photographic lens; cutting the tracking record image of the light spot, and respectively calculating the relative displacement time history of the feature points and the boundary of the light spot; based on curvature, length and area changes of the circular light spot in different directions, a vertical relative displacement time travel curve of the light spot perpendicular to the surface of the surrounding rock of the target underground cavern is calculated; and differentiating the obtained plane and vertical displacement time histories to obtain corresponding vibration velocity time histories, and combining to construct the actual three-dimensional vibration velocity of each light spot. According to the embodiment of the invention, the monitoring cost is reduced, the field monitoring efficiency and the monitoring data volume are improved, the applicability in the construction environment with poor light of the underground cavern is higher, the defects of a high-speed photographing single lens in three-dimensional data representation are overcome, and effective monitoring and evaluation of three-dimensional vibration of the underground cavern are realized.

The invention discloses a compressed air energy storage underground cavern site selection method based on multi-scale stability evaluation. The method comprises six main steps of establishing a multi-scale evaluation system, evaluating the stability of a regional structure, identifying and analyzing a safety island, analyzing the stability of a site in detail, comprehensively integrating multi-scale evaluation results and verifying the evaluation results. According to the method, a multi-scale structure stability evaluation system is established, a safety island concept and an identification method thereof are provided, an innovative scale conversion and data fusion algorithm is developed, comprehensive and multi-level evaluation from macroscopic to microscopic is realized, and the accuracy and reliability of CAES underground cavern site selection are remarkably improved.

The present invention discloses a cave-type vertical lifting gravity energy storage system, including a mountain and a power supply, wherein a platform is provided on the top of the mountain, a top yard is provided on the platform, a shaft and a cave are provided inside the mountain, the bottom opening of the shaft is connected to the cave entrance, a lifting device is provided above the top opening of the shaft, a top horizontal conveyor and a gravity block are provided on the top yard, the gravity block moves horizontally along the top horizontal conveyor, the gravity block is contact-connected with the lifting device, a bottom horizontal conveyor, a control room and an energy storage device are provided in the cave, and the power supply is respectively connected with the lifting device, the top horizontal conveyor, the bottom horizontal conveyor, the control room and the energy storage device. The present invention utilizes underground caves as the lower yard of the gravity energy storage system, fully utilizes the underground space of the mountain, adopts the bottom horizontal conveyor and adopts a concealed project, does not destroy the natural environment of the mountain, does not affect the visual landscape of the mountain, and creates economic value.

A rock mass cavern seismic dynamic stability analysis method considering layer vibration degradation comprises the following steps: determining transverse isotropic elastic mechanical behaviors, strength criteria and plastic potential functions of a layered rock mass, and constructing an elastic-plastic degradation constitutive model of the layered rock mass; determining a stratified rock mass layer surface strength parameter calculation formula under the earthquake action, determining a stratified rock mass rock mass strength parameter calculation formula, and establishing a stratified rock mass strength parameter evolution rule considering the layer surface vibration degradation effect; defining a layer damage degree index, and constructing a layered rock mass damage degree evaluation index under the earthquake action; and calculating the earthquake stability safety degree coefficient of the rock mass underground cavern, and determining the earthquake stability safety degree interval of the rock mass underground cavern. According to the method, the layer vibration degradation effect is considered, the safety evaluation result is more accurate, the application range is wide, the principle is simple, the physical significance is clear, the earthquake stability of the rock mass underground cavity is effectively analyzed, and the method has good practical engineering application prospects.

The invention relates to the field of underground engineering, in particular to a compressed air energy storage underground cavern supporting structure and a design method thereof. The invention provides a compressed air energy storage underground cavern supporting structure and a design method thereof, the compressed air energy storage underground cavern supporting structure is suitable for compressed air energy storage underground gas storage cavern structure design, the supporting structure enables deformation of all layers to be coordinated through structure simplification, decomposition of functions of all the layers, targeted selection of materials and design of structures of all the layers, the bearing capacity of surrounding rock can be fully utilized, and the supporting structure can be used for supporting the underground cavern. And meanwhile, the sealing performance of the cavern is ensured. Compared with an existing structure, the structure is not provided with a secondary lining and a thick steel lining, and economical efficiency is greatly improved.

The invention provides a potential safety hazard analysis method and system based on underground cavern three-dimensional geological intelligent modeling, and the method comprises the steps: firstly, based on underground cavern three-dimensional model data, cutting the underground cavern three-dimensional model data into a plurality of sub-models according to a geological condition segmentation rule, and enabling the geological condition segmentation rule to dynamically adjust the cutting spacing according to the gradient change characteristics of a rock stratum; performing gradient analysis on the longitudinal and axial rock stratum attributes of each sub-model to generate rock stratum transition characteristic data containing the adjacent rock stratum attribute change rate and the transition area space distribution, and dynamically identifying the surrounding rock type of the sub-model according to the rock stratum transition characteristic data; and mapping and matching the surrounding rock identification result with a preset protected object space coordinate, collecting a sub-model geological parameter set in real time, finally triggering a safety early warning signal according to a geological parameter set numerical value interval, and generating an emergency disposal scheme set associated with the safety early warning signal, so that the potential safety hazard of the underground cavern can be effectively analyzed.

The invention provides an underground cave depot water curtain hole investigation method, and relates to the technical field of underground cave depot investigation. The water curtain hole investigation method is a novel underground water-sealed cave depot construction investigation method. The method breaks through the cognition of the underground water-sealed cave depot about the use function of the water curtain hole in decades of years in China. The water curtain holes are formed in the position about 25 m above the oil storage cavern in parallel, the arrangement distance is smaller than ten m, the water curtain holes have the advantages of being close to the oil storage cavern, comprehensive in coverage range and capable of covering the oil storage cavern in advance, the oil storage cavern is finely surveyed in advance through the water curtain holes, the engineering geology and hydrogeology conditions of the oil storage cavern are found out, and the oil storage cavern can be found out in advance. A water curtain hole investigation result is established before construction of the oil storage cavern, grouting water plugging and supporting design of the oil storage cavern can be effectively guided, water seepage control of the underground water-sealed cavern and stability of the cavern are ensured, the project quality of project construction of the underground water-sealed cavern is integrally improved, and the later operation cost is greatly reduced.

The invention relates to the field of pumped storage power station engineering, in particular to an efficient ventilation, waste dissipation and cooling system and method for an underground cavern group, and the system comprises a distributed environment sensing network, a partitioned ventilation execution unit, a partitioned cooling execution unit and a control unit. The prediction model is adopted to predict the future environment or load change trend, and the system coordination control model evaluates the influence of a control instruction on the overall state of the system; by comprehensively considering a real-time measured value, a future predicted value and an evaluation result of a system coordination control model and considering multiple targets of an environment index and operation energy efficiency, an optimization control instruction capable of cooperatively regulating and controlling each partition execution unit is determined and executed.

The invention provides a surrounding rock stability dynamic analysis method and system in the excavation process of an underground cavern group. The method comprises the steps that original surrounding rock monitoring data of the underground cavern group are collected at the self-adaptive sampling frequency through a distributed optical fiber sensor; performing real-time filtering, abnormal value primary screening and data compression processing on the original surrounding rock monitoring data to obtain target surrounding rock monitoring data; performing feature extraction on the target surrounding rock monitoring data to obtain a feature vector corresponding to the target surrounding rock monitoring data; and inputting the feature vector into a pre-constructed surrounding rock stability evaluation model for evaluation to obtain the stability level of the surrounding rock. Therefore, data redundancy can be prevented, key information omission is avoided, and the reliability of a surrounding rock stability evaluation result is improved.

The invention discloses an underground cavern harmful gas diffusion prediction simulation method based on a generative adversarial network, relates to the technical field of underground engineering safety monitoring, and provides the following scheme: acquiring three-dimensional point cloud spatial data, geological exploration data and real-time gas concentration monitoring values of an underground cavern, and unifying the three-dimensional point cloud spatial data, the geological exploration data and the real-time gas concentration monitoring values to an initial coordinate system; and extracting permeability parameters of the geological exploration data for discrete grading, associating a grading result to the space coordinates, and outputting permeability grading codes. According to the method, three-dimensional point cloud space data is converted into an obstacle distribution density function field, isovolumetric grid units are divided through a volume compensation algorithm in a dynamic deformation coordinate system, permeability grading code difference values, obstacle distribution density difference values and node concentration gradient differences of adjacent units are fused to construct a weighted edge, and the weighted edge is calculated. And a high-precision diffusion resistance topological structure diagram is generated, and the local resistance quantitative modeling problem caused by micro-scale concave-convex obstacles and permeability abrupt change is solved.

The invention discloses an underground cave depot slurry diffusion and solidification state space-time identification method and system, and belongs to the technical field of underground cave depot grouting, and the method comprises the steps: taking an on-site grouting influence region as a monitoring region, and detecting the apparent resistivity of the monitoring region at different grouting stages in real time in a cave depot grouting process; drawing visual cloud charts of the apparent resistivity of the monitoring areas at different grouting stages; and based on the visual nephograms of the apparent resistivity of the monitoring areas at different grouting stages and in combination with a preset grout solidification degree judgment criterion, judging the grout diffusion range, the grout solidification degree, the grout solidification time and the grouting water plugging effect. According to the scheme, the slurry diffusion range, the solidification degree, the solidification time and the grouting water plugging effect in the cave depot grouting process can be intelligently and accurately judged, so that monitoring of the grouting process and improvement of the grouting effect are achieved, the grouting precision and efficiency are improved, and the grouting cost is reduced.

The application provides a kind of stability discrimination method of underground gas storage cavern initial support of compressed air energy storage power station, the method comprises: considering the expansion force and softening of hydrophilic surrounding rock of underground gas storage cavern, draw the response curve of surrounding rock in humidification process;Obtain the supporting parameters of underground gas storage cavern, calculate and draw the characteristic curve of supporting structure;The intersection point of the response curve of surrounding rock and the characteristic curve of supporting structure is determined, and the coordinate of the intersection point is obtained according to the coordinate of the intersection point, and the equilibrium supporting force of hydrophilic surrounding rock and supporting balance is obtained according to the coordinate of the intersection point;According to the safety factor of underground gas storage cavern, the stability of the cavern is judged according to the safety factor.The application fully considers the expansion force, softening and supporting force effect of surrounding rock in the relationship between surrounding rock and support, and uses safety factor as the stability index of underground gas storage cavern, which is suitable for the stability evaluation of underground cavern with complex surrounding rock characteristics, and the discrimination method is accurate and efficient.

The invention relates to the technical field of tunnel engineering construction, and discloses an intelligent control system and method for tunnel blasting smoke exhaust, and the system comprises a spraying subsystem, a multi-sensor detection module, and a remote control terminal with a display. The spraying subsystem comprises a plurality of nozzles and a booster water pump; the remote control terminal with a display receives information of the multi-sensor detection module and controls the booster water pump; a remote control terminal with a display displays data detected by the multi-sensor detection module; the multi-sensor detection module comprises a smoke sensor, a sound sensor, a vibration sensor and an air quality detector; the device is applied to tunnels or underground cavern groups, especially environments with poor ventilation and need of continuous blasting construction, dust in air can be effectively reduced, dust generated by blasting cannot affect operation construction after being subjected to multi-channel atomization spraying, meanwhile, spraying water resources can be effectively saved, good economic benefits and social benefits are achieved, and the device is worthy of popularization and application. And popularization and use are facilitated.

The application discloses the technical field of image data processing, and provides a method, device and equipment for risk assessment of an underground cavern and a medium, which comprises the following steps: adopting a geometric segmentation algorithm to process point cloud data of a target cavern acquired in advance, combining a plane fitting technology, identifying a structural surface and extracting structural surface parameters; constructing a geological topology model according to the structural surface parameters, identifying key blocks of the geological topology model based on a preset block identification standard, and randomly disturbing the structural surface parameters to obtain multiple groups of sample parameters; determining the instability probability of each key block based on the sample parameters, performing risk assessment on the key blocks based on the instability probability, and obtaining a risk assessment result of the underground cavern. The application significantly improves the timeliness and efficiency of risk identification of underground engineering, and effectively solves the problems of accurate identification of a structural surface and risk quantization under complex geological conditions.

The invention relates to the technical field of digital twinning, and provides an underground cavern movable block automatic searching method and device and a storage medium, and the method comprises the steps: obtaining the image data of a blasting excavation surface of an underground cavern, obtaining a preliminary live-action three-dimensional model of the excavation surface of the underground cavern according to the image data of the underground cavern, and carrying out the preliminary live-action three-dimensional model of the excavation surface of the underground cavern; registering the preliminary live-action three-dimensional model according to the three-dimensional space coordinate data set to obtain a registered live-action three-dimensional model under a geographic coordinate system, drawing geologic structural surfaces on the registered live-action three-dimensional model, performing spatial combination on the geologic structural surfaces, and performing spatial Boolean operation on the geologic structural surfaces and the registered live-action three-dimensional model to obtain geologic structural surfaces; and all movable blocks on the registered live-action three-dimensional model are obtained. According to the method, the space Boolean operation is performed by combining the drawn geologic structure surface and the registration live-action three-dimensional model, and all the movable blocks are intelligently searched, so that the risks of data blind areas and misjudgment and missing judgment existing in manual judgment are solved, and the search efficiency is greatly improved.

The invention discloses a compressed air energy storage underground cavern flexible sealing material permeability coefficient testing device which comprises an air compressor, a booster pump, an air storage tank, a high-pressure sealing box and a micro-gas measuring device, the high-pressure sealing box comprises an upper pressing plate and a lower pressing plate, and a permeable stone plate is horizontally placed in a first groove in the top of the lower pressing plate; a second groove in the bottom of the upper pressing plate serves as an air pressure chamber on the high-pressure side, an air inlet hole and an air outlet hole are formed in the upper pressing plate and the lower pressing plate respectively, an air inlet valve is installed on a first pipeline between the air inlet hole and the air storage tank, and the first pipeline is connected with an air outlet valve; the air outlet hole is connected with a first beaker, the first beaker is connected with a second beaker, and the second beaker is placed on a high-precision electronic balance. The testing device and method are safe, reliable and convenient to operate, high-precision testing of the permeability coefficient of the flexible sealing material can be achieved, and the blank of an existing permeability coefficient testing device and method under the high-internal-pressure working condition is filled up.

The invention provides a multi-element visual identification method for an underground cavern dark dust scene, and relates to the field of tunnel construction intelligent management. The method comprises the following steps: acquiring image data in monitoring video data of an underground cavern dark dust scene; filtering the image data, and performing multi-element classification labeling through LabImg software to generate an image data set; in the YOLOv5 target detection model, a CBAMC3 module is used for replacing a C3 module in the Backbone; inputting the image data set into a target detection model for iterative training to a preset round; and accessing the trained target detection model to a monitoring video source of an underground cavern dark dust scene, and carrying out multi-element real-time visual identification. According to the method, more efficient and accurate real-time visual identification monitoring can be realized in the underground cavern under the conditions of man-machine shielding, different directions and small target identification scenes.