1394 results about "Underground space" patented technology

The invention provides an urban underground space high-precision detection method, system and device and a storage medium, and relates to the technical field of geological exploration. The method comprises the following steps: acquiring reflection seismic data, high-resolution electromagnetic response data, environmental noise data, well-side seismic data and logging data of a target area, and performing refined processing on the reflection seismic data, the high-resolution electromagnetic response data, the environmental noise data, the well-side seismic data and the logging data to obtain multi-source multi-scale detection data; performing constraint condition extraction based on the multi-source multi-scale detection data to obtain a multi-source constraint condition, and constructing an urban underground space three-dimensional information model based on the multi-source constraint condition and the multi-source multi-scale detection data; and performing data mining based on the urban underground space three-dimensional information model to obtain three-dimensional geological data. According to the scheme, the accuracy of urban underground space detection can be improved.

The invention provides a tunnel construction structure health on-line monitoring method and system, and the method comprises the steps: obtaining stress data, crack images and seismic wave signals of tunnel construction, and carrying out the preprocessing; obtaining and constructing stress-crack joint representation mapping, generating a first joint feature vector, and predicting a lining health state of a future # imgabs0 # time step; generating a second joint feature vector, and determining a stratum stress field of the future # imgabs1 # time step according to the second joint feature vector; constructing a tunnel lining damage probability model according to the stress data and the crack image, and determining an overall construction risk score; and dividing the construction risks into a plurality of grades. According to the method, data multi-modal fusion, structure-stratum joint modeling and AI enhanced prediction and early warning are achieved, the defects in the prior art are effectively overcome, the method can be widely applied to engineering scenes such as tunnel construction, subway construction and underground space development, and the construction safety and the structure health monitoring capacity are remarkably improved.

The invention discloses a rescue method and system of a rescue robot for exploration, and relates to the technical field of underground space rescue, and the method comprises the following steps: obtaining multi-path acoustic echo data of a karst cave and motion track data of the robot, and constructing a three-dimensional point cloud model according to the multi-path acoustic echo data and the motion track data of the robot; and identifying unmatched data in the multi-path acoustic echo data and the robot motion trail data, and taking an area where the unmatched data is located as an abnormal area. According to the method, the spatial resolution of signal acquisition is enhanced through the multi-microphone array, robust acoustic fingerprints are extracted in combination with a noise reduction algorithm and short-time Fourier transform, high-confidence human body sound source signals are screened out by using a feature template matching mechanism, accurate extraction and recognition of human body acoustic features in a karst cave complex noise environment are realized, and the accuracy of human body acoustic feature recognition is improved. The problem of misjudgment caused by confusion of sound source features and environmental noise in a traditional method is effectively solved.

The invention provides a shield adaptability adjusting method based on a stratum structure, which comprises the following steps: acquiring geological parameters of a construction area of a shield tunneling machine through drilling and geophysical prospecting, and arranging sensors at key positions of the shield tunneling machine to acquire construction parameters of the shield tunneling machine in real time; a convolutional neural network CNN is adopted to analyze the geological parameters to identify stratum features, and a geological model is constructed based on the identified stratum features; constructing a disaster risk index system, and predicting a disaster risk based on the geological model and the construction parameters by adopting Logistic regression and a random forest algorithm; according to the predicted disaster risk, the cutterhead configuration of the shield tunneling machine is dynamically adjusted, and tunneling parameters are optimized or a muck improvement scheme is adopted; by monitoring geological parameters, construction parameters and environmental changes in real time, a multistage early warning mechanism is adopted to trigger emergency response measures, and construction safety is guaranteed. According to the method, the safety and efficiency of shield construction can be improved, the geological disaster risk is reduced, and reliable technical guarantee is provided for underground space development.

The invention belongs to the technical field of coal mine underground automatic driving, and provides a coal mine tunnel simultaneous positioning and mapping method and system based on multi-modal data fusion in order to solve the problem of reliable positioning and navigation of an automatic driving vehicle in a large coal mine underground tunnel. According to the invention, a high-precision mine environment three-dimensional point cloud map of a unified navigation coordinate system in a global range from a mine ground plaza to an underground haulage roadway can be established, and the six-degree-of-freedom pose of an underground autonomous vehicle is calculated. Accurate positioning of the underground automatic driving vehicle in a degraded environment such as the coal mine underground roadway is achieved, a coal mine underground roadway simultaneous positioning and mapping system is built, the posture state of the underground automatic driving vehicle can be accurately estimated in an underground space where global satellite navigation signals are lacked, the underground accurate positioning requirement is met, and the positioning accuracy of the underground automatic driving vehicle is improved. The method is of great significance in realizing application of intelligent unmanned transportation equipment in underground coal mines and promoting intelligent and unmanned construction of coal mine auxiliary transportation systems.

The invention discloses a robust autonomous navigation and obstacle avoidance method for an underwater detection robot, and relates to the technical field of underground space intelligent identification and navigation.The method comprises the steps that through the multi-sensor fusion technology, a three-dimensional point cloud data set and a depth image data set of an underground environment are synchronously collected through a sonar and a stereoscopic vision system; the method comprises the following steps: constructing original geometric morphology data of an underground space, providing basic information for subsequent data processing, constructing a dynamic updating mechanism according to an initial navigation path data set, monitoring underground environment change and structural state through real-time sensor data, and regularly updating risk level values. If the risk level change exceeds a preset range, triggering path recalculation to ensure adaptation to underground environment change; the robust autonomous navigation and obstacle avoidance method of the underwater detection robot has important application value in underground engineering fields such as mines and tunnels, and provides technical support for intelligent management and safe operation of underground space.

The invention discloses a deep underground space environment comfort adaptive regulation and control system and method based on an improved gating circulation unit, and the method comprises the steps: collecting multi-source environment parameters of a deep underground space in real time through a multi-source data collection and preprocessing module, and converting the parameters into a time sequence window to generate time sequence window data; then, according to the data acquired and processed by the multi-source data acquisition and preprocessing module, an environment parameter prediction module extracts dynamic fractal features of the multi-source environment data through an improved gating cycle unit (E-GRU), and generates a future environment parameter prediction value; and then, through a reinforcement learning strategy generation module, based on an environmental parameter prediction value generated by an environmental parameter prediction module and real-time energy consumption, generating an equipment control instruction, and through a reward function, balancing comfort and energy consumption. According to the scheme, on the premise that comfort is guaranteed, energy consumption can be remarkably reduced, the response speed is increased, and the method is suitable for high-requirement scenes such as deep underground laboratories.

The invention discloses an urban underground space structure health detection method and detection system, and the method comprises the steps: S1, collecting the multi-modal data of an underground space structure through the deployment of diversified sensors; s2, preprocessing the collected data, wherein the preprocessing comprises filtering denoising and feature extraction; s3, performing pattern recognition and health state evaluation on the processed data by using a deep learning model; s4, dynamically adjusting a threshold value of health assessment according to the environmental parameters, and predicting a future health trend; and S5, the evaluation result is displayed through a visual platform, a corresponding health examination report is generated, the health condition of the underground space structure can be monitored in real time by integrating multiple sensors and utilizing a data processing technology, potential problems can be found in time, an early warning threshold value can be dynamically adjusted according to real-time monitoring data through a dynamic threshold value adjusting mechanism, and the early warning efficiency is improved. The problems of false alarm and missing alarm caused by a fixed threshold value are avoided, and the accuracy and reliability of early warning are improved. The method is suitable for various underground space structures.

The invention discloses a GIS-based site vertical design earthwork volume calculation method and system, and relates to the technical field of earthwork volume calculation, and the method comprises the steps: constructing a site current situation DEM according to a topographic map; constructing a site design DEM according to the vertical design drawing; performing grid analysis on the site design DEM and the current situation DEM to obtain grid data of earth surface filling and excavation; in combination with control and regulation data, the earth surface filling and digging earth volume of each pattern spot of the planned land is calculated; calculating underground engineering excavation amounts of building underground spaces, subways and underground comprehensive pipe galleries of each pattern spot of the planned land; and calculating to obtain the total filling and digging amount of each pattern spot of the planned land, and generating a filling and digging thematic map. The system comprises a current situation DEM construction module, a design DEM construction module, an earth surface excavation and fill amount calculation module, an underground engineering excavation amount calculation module and a total excavation and fill amount calculation module. The method is simple, convenient, high in efficiency and precision, low in cost, wide in application range and more reasonable and accurate in calculation result by considering the unearthing amount of the underground engineering, and provides a more reliable basis for vertical design and construction of a site.

The invention relates to an underground assembly structure optimization method, equipment and a medium, and relates to underground space structure optimization. The method comprises the following steps: acquiring urban stratigraphic property related data; according to the urban stratum property related data and the use requirements of underground assemblies, on the basis of meeting preset design conditions and constraint conditions, traversing structural systems, component types and layouts in a pre-storage range, and constructing various underground assembly type structure design schemes; determining comprehensive anti-seismic capacity values of different underground assembly type structure design schemes; and determining an optimal underground assembly structure design scheme by adopting a preset multi-objective optimization algorithm according to the various underground assembly structure design schemes and the multi-objective optimization model. According to the method, the influences of stratum properties, use requirements and dynamic loads can be comprehensively considered, the reliability performance of the design scheme is accurately evaluated through systematic reliability analysis, and the safety risk is reduced; and the disaster resistance of the underground assembly in natural disasters such as earthquakes and the like is improved.

The invention discloses an underground space flood emergency rescue and dispatching command model construction method and device under a rainstorm situation, belongs to the technical field of construction safety management, and solves the problem that effective landing of an emergency rescue scheme cannot be ensured in the prior art. According to the method, flood simulation under multiple scenes of different rainfall capacities is carried out based on rainstorm scene data and a cellular automaton model, flood simulation results are obtained, key risk influence factors are identified, severity evaluation is carried out, and risk grade evaluation is carried out based on an underground space disaster risk evaluation index system under the rainstorm scene. The method comprises the following steps: constructing a knowledge base, matching a target underground space emergency rescue resource list with the constructed knowledge base to obtain a first emergency task list, applying the first emergency task list to a corresponding rainfall scene, performing pre-deduction by adopting a cellular automaton model, and generating a second emergency resource list according to a pre-deduction result to obtain an emergency rescue and scheduling command decision. The method is used for underground space flood emergency rescue and dispatching command under the rainstorm situation.

The invention relates to the technical field of tunnel and underground space robot autonomous navigation, and provides a tunnel path planning method and system for clearance corridor and elastic geodesic refinement, and the method comprises the steps: calculating the Euclidean distance from a structural terrain to a nearest obstacle or wall, taking the Euclidean distance as clearance, generating a direction-independent cost, and constructing a dual metric; running Riemannian geometry fast travel and backtracking geodesic under the condition that starting and ending point pixel coordinates are given to obtain a coarse path, after rasterization, calculating the distance from pixels to the coarse path, obtaining a widening radius by using clearance along the coarse path, performing nearest neighbor propagation to a global domain to obtain a radius graph, defining a corridor, and performing corner propagation by the coarse path to obtain an approximate curvature field; calculating to obtain a score, partitioning through thresholding, performing piecewise linear penalty, updating the total cost related to the direction, re-marking according to partitions, taking the reciprocal as a velocity field, and obtaining a final path through a solver. The problems of safe obstacle avoidance, curvature control and efficient solution need to be met at the same time in engineering are solved.

The invention belongs to the technical field of three-dimensional modeling systems, and particularly relates to an urban geological complex geologic body three-dimensional modeling system which comprises urban geological database construction, three-dimensional model construction and underground space resource development potential evaluation. The urban geology database construction comprises the steps that the database construction target is to establish an urban geology and underground space database; the system is positioned as a basic data center on which urban geology and underground space depend, a convergence place of various data required by accident emergency processing, an information management and control center of various geology and underground space built in the whole life cycle of a city, a data exchange hub and an auxiliary support data center. In the aspect of database construction, efficient management and comprehensive application of urban geological data are realized through standard architecture, classified storage, safety measures and a reasonable updating mechanism.

The invention provides a surveying device and method for an internal structure of a coating, and relates to the technical field of surveying. The surveying device comprises an acquisition system used for acquiring coordinate information of muons, and the coordinate information comprises intersection point coordinates of the muons and the acquisition system; the positioning time service system is connected with the acquisition system and is used for recording the position information of the acquisition system; the control system is respectively connected with the acquisition system and the positioning time service system, and is used for obtaining a structure image of the internal structure of the to-be-detected coating according to the coordinate information and the position information, and judging the condition of the internal structure of the to-be-detected coating according to the structure image; wherein the to-be-detected coating is located at the upper part of the underground space; and the mobile carrier can move in the underground space, and the acquisition system, the positioning time service system and the control system are fixed on the mobile carrier. The surveying device can efficiently detect the condition of the internal structure of the to-be-detected coating in real time in a non-invasive mode, and the safety of the operation period and the construction period of the underground space is guaranteed.

The invention discloses an underground space surrounding rock excavation damage area testing method, which belongs to the technical field of rock mass damage testing, and comprises the following steps: sampling rocks with different depths, carrying out ultrasonic testing, and determining rock sample attenuation characteristics and wave velocity; determining a comprehensive damage index range of the rock samples with different damage grades; then, sensors are arranged in the excavation process to collect ultrasonic and acoustic emission data; then, an initial calculation model is constructed, and a surrounding rock three-dimensional wave velocity model is obtained through inversion of collected data; and finally, determining a damage grade according to the comprehensive damage index, and marking in the model to realize damage area testing. According to the method, the mapping relation between the damage degree and the wave velocity change is established, the comprehensive damage index range threshold value of different subareas is provided, quantitative and gradable classification is achieved, the three-dimensional wave velocity model is inversed based on test and monitoring data, and three-dimensional presentation and grading labeling of the damage area are achieved.

The invention discloses a system for enhancing the damping and aseismic capacities of an underground integrated pipe rack. It includes a pipe fixing assembly installed on the inner walls of the underground space on both sides. The assembly comprises multiple lifting frames arranged vertically and a lifting mechanism. The telescopic end of the lifting mechanism is fixedly connected to the lowermost lifting frame. One side of the lifting frame is slidingly connected to the inner wall of the underground space and features a recess for placing the pipe. A pipe holder inside the recess secures the pipe. During vibrations, the lifting frame slides on the inner wall, causing relative movement between adjacent pipe holders. The vibration is absorbed by the telescopic spring, preventing hard contact between the pipe and the vibration source. This reduces vibration and protects the pipe, thereby enhancing the aseismic capacity of the underground pipe rack.

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.

The invention discloses an underground space time-shifting transient electromagnetic unmanned monitoring device and method. The underground space time-shifting transient electromagnetic unmanned monitoring device comprises a mobile platform, a multifunctional transient electromagnetic detection device and a ground remote control terminal, the multifunctional transient electromagnetic detection device can actively adjust the distance between a transmitting coil and a receiving coil so as to realize a mutual inductance eliminating 8-shaped coil structure, and through cooperation with a calibration algorithm of a control center, the automation level and reliability of detection are remarkably improved, and it is ensured that the 8-shaped coil is in a mutual inductance eliminating state. In addition, the transient electromagnetic monitoring device can perform structure switching between deep layer detection and shallow layer detection, so that a high-efficiency detection mode that one circle has two purposes is realized, and the efficiency and the flexibility of detection operation are remarkably improved. In the actual detection process, the advantages that the 8-shaped coil is small in shallow blind area and large in overlapped loop detection depth are fully played, advantage complementation of two coil modes is achieved, and comprehensiveness and accuracy of a detection result are remarkably improved through a data fusion mode.

The invention relates to a control method for linkage of multi-source dust treatment and dust removal in a closed underground space. The control method is applied to the dust removal system. The method comprises the following steps: firstly, performing three-dimensional dynamic simulation on an airflow field in a closed underground space based on a computational fluid mechanics model to obtain flow field data output by the three-dimensional dynamic simulation; then, based on the flow field data, isolation and sealing control is performed on the source of dust in the underground space. And then the operation area is divided into a plurality of functional areas, and the air volume of the independent air draft pipeline system of each functional area is determined. Then, the dust is guided to be concentrated towards a suction area in the multiple functional areas through an air flow organizing device. Finally, multiple pieces of sensor data of the multiple functional areas are collected according to the sensors of all the functional areas, and big data analysis is carried out based on the multiple pieces of sensor data so as to control the dust removal system. According to the invention, dust in the closed underground space can be efficiently and reliably controlled and treated.

The invention relates to the field of pressurization and yield increase in natural gas extraction, in particular to a novel oblique flow type natural gas downhole compressor which comprises a multi-stage series structure and a plurality of connected single-stage compression modules, and each single-stage compression module comprises a diffusion pipeline and a rectification pipeline which are connected and coaxially arranged to form an axial advancing route of gas. Gas axially enters and is axially discharged; the air suction mechanism is arranged in the diffusion pipeline and used for sucking external air so that the external air can flow along the axial advancing route to do work and be pressurized; the same single-stage compression modules are connected in series in a multi-stage mode, the design difficulty is effectively reduced, meanwhile, the high pressure ratio can be achieved by adjusting the number of the compression modules, the high pressure ratio is achieved in the limited underground space, meanwhile, the compressor has the high reliability and the wide stable working margin, and the application range of the compressor is widened. And safe and reliable operation of the compressor under different working conditions is guaranteed.

The invention relates to the field of electric power pipe jacking path optimization, and discloses an electric power pipe jacking path optimization method and system based on multi-objective optimization, and the method comprises the steps: constructing a three-dimensional underground space model according to a BIM design drawing, geological radar data, existing pipeline coordinates and obstacle coordinates of an area where an electric power pipe jacking path is located; generating a plurality of alternative power pipe jacking paths in the three-dimensional underground space model based on safety constraint conditions of the power pipe jacking paths; and based on the economical efficiency target, the construction period target, the environmental protection target and the operation and maintenance target, screening the plurality of alternative power pipe jacking paths to obtain an optimized target power pipe jacking path. According to the method, the construction path of the power pipe jacking can consider factors such as construction cost, construction period and maintenance cost, and the optimization effect of the power pipe jacking path is improved.

The invention provides a modular and multifunctional karst collapse physical simulation experiment platform. Comprising a rigid frame, a bearing device, a moving device, a loading device, a lifting device, a pile foundation construction dynamic load simulation device, a ground traveling dynamic load simulation device, a rainfall simulation device, a computer vision monitoring device, an underground water pumping and draining simulation device and an underground space excavation disturbance simulation device. The moving device is arranged on the bearing device, the lifting device, the loading device and the pile foundation construction dynamic load simulation device are arranged on the moving device, the travelling crane dynamic load simulation device is connected with a traction device of the moving trolley, and the camera shooting monitoring device and the rainfall simulation device are arranged on the rigid frame through a support. According to the method, key disaster-causing conditions in the urban environment are fully considered, the working condition scene coverage is wide, and the applicability is high; modularized design is adopted as a whole, all the modules can be flexibly loaded according to requirements, the real environment can be simulated more truly, and the catastrophe evolution process of surface collapse can be reproduced.

The invention discloses an underground building space interface energy regulation and control method and system based on data processing, and the method comprises the steps: generating an initial design scheme of an underground building space interface according to design parameters including the type of the underground building space interface; calculating underground building space performance indexes of the initial design scheme, and performing underground building space performance evaluation on the initial design scheme by referring to preset underground building space performance indexes; performing multi-target space performance-oriented space interface optimization design on the initial design scheme which does not reach the standard to generate an optimization design scheme of the underground building space interface; and performing underground building space performance evaluation on the optimal design scheme, and outputting the optimal design scheme of the underground building space interface which is evaluated to reach the standard. Optimization design of an underground building space interface is achieved, natural lighting, natural ventilation, energy consumption performance and the like of the underground building are comprehensively optimized, and the environment quality and the energy utilization efficiency of the underground space are improved.

A method for constructing an underground space in a peripheral area of an existing building by using an open caisson belongs to the technical field of open caisson construction, and comprises the following steps: arranging an open caisson construction area in an area between the existing buildings, and constructing an uplift pile in an internal area of the open caisson to be constructed; the counter-force beam is constructed, so that the counter-force beam is fixedly connected with the uplift pile, the two ends of the counter-force beam are fixedly connected with the existing building, and the weight of the existing building is used as counter-force to play a role in assisting sinking of the open caisson; after the counter-force beam is constructed, the open caisson is constructed, the uplift piles are arranged in the open caisson, the stress state of the counter-force beam can be improved, the cross section of the counter-force beam can be reduced, in the area with the high underground water level, the uplift piles on the lower portion of the open caisson can serve as anti-floating components of the open caisson, the uplift piles in the open caisson can serve as partial columns of a basement, cost is effectively reduced, and the construction period is shortened. The uplift pile is arranged in the open caisson, and compared with the uplift pile arranged near the outer wall of the open caisson, the uplift pile has higher bearing capacity and can better play a role.

The invention discloses an underground space intelligent layout method and system, and the method comprises the following steps: S1, generating an initial layout through employing a graph theory method based on preset underground space layout knowledge and constraint conditions inputted by a user; s2, optimizing the initial layout through a comprehensive evaluation index by using a multi-objective optimization algorithm; and S3, visually displaying the layout result and the evaluation data. The layout system comprises a layout module, an optimization module and a visualization module, and the optimization module uses a multi-objective optimization algorithm to optimize the generated initial layout through comprehensive evaluation indexes. According to the method, the efficiency of underground space layout design is greatly improved, multiple key indexes such as function compatibility, people flow organization efficiency, average accessibility and space utilization rate are comprehensively considered, and it is ensured that the generated layout scheme achieves optimal balance in all dimensions.

The invention discloses an underground chamber structure of a compressed air energy storage power station, a construction method and a parameter optimization design method, and belongs to the field of compressed air energy storage and underground space engineering. A hard rock stratum building chamber is determined through systematic site selection investigation, a high-performance concrete lining (containing fiber reinforcement) and a polyurethane buffer layer are adopted to synergistically improve the stability, and a vinyl ester resin-based glass fiber reinforced plastic three-layer composite structure serves as a sealing layer (including a bonding layer, a reinforcement layer and an impermeable layer); the processes of sand blasting pretreatment, stepped joint and the like are combined to guarantee the sealing performance; meanwhile, on the basis of a finite element model, structural parameters are optimized by taking the lowest whole life cycle cost as a target and taking strength, deformation, leakage rate and the like as constraints, and a recommended parameter combination of each structural layer is obtained in combination with an orthogonal experimental design and an improved genetic algorithm. The method is suitable for various geological conditions, the safety, economical efficiency and adaptability of the compressed air energy storage power station are effectively improved, and the method is suitable for large-scale application and popularization.

The invention discloses an underground mine measurement and resource reserve estimation method and system. The method comprises the following steps: S1, acquiring point cloud data of a mine underground space in different periods and a panoramic image of a mine underground environment; s2, preprocessing the panoramic image and the point cloud data in the same period, establishing a mapping relation between the point cloud data and the panoramic image, and obtaining a colored point cloud data set and a lightweight three-dimensional model; s3, performing ore block sample feature extraction on the colored point cloud data set, and delineating the boundary of an ore body; s4, constructing an ore body block grid model according to the delineated ore body boundary; s5, repeating the steps S2-S4 to obtain ore body block grid models in different periods; s6, overlapping the ore body block grid models in different periods to obtain an ore body change three-dimensional model; and S7, according to the ore body change three-dimensional model, estimating the ore body increase and decrease change volume, namely the underground mine resource reserve change result. The method can accurately estimate the volume of the increase and decrease change of the ore body.

The invention discloses an active anti-floating drainage model test device and test method considering saturation change, and belongs to the technical field of active anti-floating of buildings. The test device comprises a boundary model box, a building model box, a plurality of pore pressure sensors, a plurality of dielectric constant sensors, a pressure limiting drainage pipe for simulating active anti-floating equipment in an actual building, a water head control device and a rainfall simulation device, and can simulate a seepage field of an underground space under the condition of active anti-floating measures during rainfall. The drainage condition of the underground space under the condition is reproduced; the pore pressure sensor and the dielectric constant sensor monitor the saturation change of the soil body in real time, the vacancy of the existing test device in the saturation change factor of the soil body is filled up, the drainage condition of the active anti-floating measure and the seepage law of the soil body in the unsaturated-saturated transition process of the soil body under different rainfall and different stratum conditions can be demonstrated, and the test device has a wide application prospect. Scientific basis and data support are provided for optimization application of active anti-floating measures under different saturation working conditions.

The invention relates to the technical field of deep underground space stratum reinforcement, in particular to a CO2 transcritical freezing system and method.The CO2 transcritical freezing system comprises a freezing subsystem which comprises a first liquid inlet pipe and a first liquid return pipe which are arranged above a stratum and used for conveying low-temperature liquid CO2 to the stratum to conduct stratum freezing construction; the liquefaction subsystem is used for compressing the volume of the normal-temperature gaseous CO2, so that the movement of molecules in the gaseous CO2 is limited and reduced, and the gaseous CO2 is converted into low-temperature liquid CO2; and an inlet and return pipeline subsystem. The CO2 medium adopted by the invention effectively solves the problems of flammability, explosiveness, high risk, difficulty in treatment, environmental pollution and the like caused by liquid ammonia and saline water utilized in the traditional freezing construction; and a water-bearing layer, a soft stratum and the like are frozen and reinforced through compressed and converted low-temperature liquid CO2, a water-resisting layer and a temporary support are formed, seepage of water and sinking, displacement and collapse of the wall face and the bottom plate are effectively prevented, and the stability of the frozen area to be excavated is improved.

The invention discloses a limited open space building explosive power field machine learning and escape planning method, and the method comprises the steps: carrying out the training and optimization of a power field interaction cooperation graph neural network through a limited open space building power field database under the explosion impact, wherein the database comprises a training data set and a verification data set; and a finite open space building power field prediction model under explosion impact is obtained, and machine learning of a finite open space building three-dimensional explosive power field is realized. According to limited open space building power field prediction under explosion impact and historical test data comparison, a personnel damage field of a corresponding underground space building is obtained, a starting point and an ending point of personnel escape are obtained, and a path optimization method is utilized to determine the safety of the underground space building according to a mode meeting the shortest escape time and the maximum survival rate. The method provided by the invention is high in accuracy, high in efficiency and strong in generalization ability.