890 results about "Underground space" patented technology

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 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 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 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 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 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 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 provides an electric power optical communication positioning system and method based on a PLC, and relates to the technical field of PLC electric power optical communication. After a real-time user starts a mobile terminal camera, a real-time optical signal of a target lamp is captured through the camera; the mobile terminal obtains a real-time ID and a real-time physical coordinate by decoding the real-time optical signal; after receiving a target parking space number input by a real-time user, the mobile terminal matches a parking space lamp ID and a parking space physical coordinate pre-bound with the target parking space number; and calculating a navigation path according to the real-time physical coordinates and the parking space physical coordinates, and outputting a real-time navigation path. The technical problem that in the prior art, due to the fact that underground space positioning is high in cost, poor in precision and prone to interruption of positioning communication, sub-meter continuous positioning and intensive management are difficult to carry out in a network-free underground space is solved. The comprehensive technical effects of remarkably saving the cost, improving the positioning precision, optimizing the user experience and enhancing the management efficiency are achieved.

The invention discloses an underground space mass water inrush accident process simulation method and an escape safety level evaluation method, and the method comprises the steps: building a three-dimensional model according to the building structure and equipment arrangement of an underground space; grid division is carried out on the three-dimensional model, and unit and node data needed by fluid dynamics simulation are generated and calculated; determining initial conditions and boundary conditions; establishing a multiphase flow model according to the initial condition and the boundary condition; inputting the unit and node data, the initial condition and the boundary condition into a multiphase flow model, and simulating the dynamic process of a large number of water inrush accidents in the underground space to obtain a simulation result; and determining emergency disposal measures according to the simulation result. By means of the scheme, the dynamic process analysis precision of a large number of sudden water inrush accidents in the underground space can be improved, and therefore the escape safety level of each area in the underground space can be scientifically and reasonably evaluated.

The invention discloses an underground space unmanned sensing detection system and method. An unmanned detection carrier platform obtains underground space surface data through a sensing radar holder and an unmanned aerial vehicle; then determining a detection target area according to the acquired data and planning a driving path; meanwhile, ad-hoc network relay nodes are placed at different positions on the unmanned detection carrier platform through a mechanical arm in combination with signal strength, an ad-hoc network is finally formed, and normal communication of the unmanned detection carrier platform and the unmanned aerial vehicle in the underground space is guaranteed; when the unmanned detection carrier platform travels to a target area, a seismic observation system is formed by arranging node type detectors, and an active seismic source and a transient electromagnetic detection device are respectively started, so that seismic wave data and transient electromagnetic data of the target area are obtained; according to the method, perception modeling of the underground space can be realized in an unmanned mode, and the overall detection data of the underground space can be accurately acquired, so that subsequent analysis and processing of the underground space data are facilitated.

The invention relates to the technical field of underground space development, and provides a coastal bedrock type city underground space development geological suitability evaluation method comprising the following steps: analyzing key geological problems of land area and sea area underground space development, and extracting related geological factors; basic geological data are collected and classified, a geological suitability evaluation index system is constructed, and geological evaluation units are divided; subjective and objective weights are determined based on an analytic hierarchy process and an entropy weight method, and an optimal comprehensive weight is obtained through game theory combination weighting; modeling based on a grey correlation analysis method, and calculating and grading suitability scores of the evaluation units; and integrating evaluation results, and generating an underground space development geological suitability partition map of land-sea overall planning. According to the scheme, the underground space development pattern is optimized, comprehensive utilization of land and ocean resources is promoted, and safe, efficient and sustainable development and utilization of the coastal city underground space are powerfully supported.

The utility model discloses an underground narrow space mine car steering platform, which belongs to the technical field of mine car steering, and comprises an underground mine tunnel, a main body frame is arranged on the top surface of the underground mine tunnel, a rotary support shaft is rotatably connected onto the main body frame, a steering table is fixedly connected to the top end of the rotary support shaft, and a steering wheel is arranged on the steering table. A push-pull mechanism is arranged on the top face of the steering table, and two movable rails are arranged on the top face of the steering table. According to the mine car steering device, when a mine car needs to be steered underground, the mine car is moved to the movable rail from the car inlet rail, the steering table, the movable rail and the mine car are pushed by the steering hydraulic cylinder to rotate around the rotary supporting shaft, and the end of the movable rail is aligned to the car outlet rail; and therefore, the function of adjusting the direction of the mine car in a narrow underground space is realized.

The invention discloses a deep underground space in-situ storage test platform fused with a multi-source measurement and control technology, and relates to the technical field of deep ground science and engineering, the deep underground space in-situ storage test platform comprises a mine wall body, and the underground space of the mine wall body is excavated to form a cavern; a sensing optical fiber is arranged on the surrounding rock wall surface of the cavern and is used for monitoring the pressure and temperature change of the surrounding rock in the storage process; a monitoring hole is formed in the outer side of the periphery of the cavern, a high-density electrical method monitoring assembly is arranged in the monitoring hole, a sealing plate is arranged on an opening of the cavern, a regulation and control module is arranged on one side of the sealing plate, a monitoring module is arranged on one side of the regulation and control module, an oil guide port and a water guide port are formed in the sealing plate, and a liquid level meter is fixedly connected to one side of the sealing plate. The high-density electrical method monitoring assembly is combined with the monitoring module and the regulation and control module, real-time monitoring and regulation and control are conducted on surrounding rock and the environment in the deep underground space storage process, the long-term action mechanism of surrounding rock underground space storage is obtained, and the safety and stability of the storage environment are ensured.

The invention discloses a multi-dimensional situation deduction method for flood disaster prevention in a closed or semi-closed space. The method comprises the following steps: S1, collecting and acquiring geographical and building data and hydrological and meteorological data related to a specified underground space; s2, creating a 3D digital model of the specified underground space according to geographical and building data; s3, scene simulation is carried out in the specified 3D digital model according to the hydrological and meteorological data, a fluid dynamic model is established, the mutual influence relation between the specified underground space and the flood factors is analyzed according to the fluid dynamic model, and the associated characteristics of flood disaster occurrence of the specified underground space in the time sequence are calculated according to the mutual influence relation. And different prevention and treatment schemes are implemented according to the associated characteristics. According to the invention, multi-dimensional simulation and analysis are carried out according to different rainfall scenes, flood risks under different conditions can be evaluated, high-risk areas can be identified more accurately, and specific prevention and control schemes are provided according to different scenes.

The invention relates to the technical field of concrete, and particularly discloses high-strength low-heat-conductivity self-compacting concrete and a preparation method thereof. The high-strength low-heat-conductivity self-compacting concrete can maintain ideal strength performance while improving the heat insulation performance, so that the high-strength low-heat-conductivity self-compacting concrete is more suitable for being applied to occasions sensitive to temperature, such as underground spaces and external walls in severe cold areas. In addition, the ceramsite provided by the invention also provides a new consumption way for the vanadium slag, and can effectively realize recycling of wastes.

The invention provides an underground space multi-disaster coupling effect quantitative evaluation and quantitative control system and method. The system is characterized in that a multi-source sensing module, a data fusion and preprocessing module, a coupling risk evaluation module and a quantitative control decision module are connected in sequence; the method comprises the following steps: collecting multi-source heterogeneous monitoring data for a long time based on the multi-source sensing module; performing space-time registration, denoising and missing value interpolation on the multi-source heterogeneous monitoring data, and calculating an original disaster intensity index; performing normalization processing on different disaster intensity indexes, constructing a time-varying coupling factor between disasters, and calculating a comprehensive risk index by using a coupling risk assessment module; the quantitative control decision module performs dynamic risk grading based on the comprehensive risk index; and the quantitative control decision module calls and executes a quantitative control strategy from a preset strategy library based on the risk grading result and the dominant disaster mode combination. According to the invention, accurate monitoring and early warning of mine underground engineering disasters can be realized, and corresponding control decisions can be automatically generated.

An underground space surveying and mapping and environment monitoring system comprises a data acquisition unit, an edge calculation unit, a dynamic scheduling unit and a simulation optimization unit. The data acquisition unit is used for acquiring various parameter data; the edge computing unit receives various parameter data, and predicts future tasks, node energy consumption and network congestion risks based on historical data and real-time states; the dynamic scheduling unit is used for selecting sensor nodes according to future tasks, node energy consumption and network congestion risks, aggregating collected data of the sensor nodes, executing a low-delay routing algorithm, and performing dynamic adjustment to obtain a scheduling strategy; and the simulation optimization unit verifies the performance of the scheduling strategy and feeds back optimization parameters to the dynamic scheduling unit to adjust the scheduling strategy so as to obtain an optimized scheduling strategy. According to the invention, a multi-objective optimization strategy and an energy monitoring and scheduling mechanism are combined, so that the network can realize low-energy-consumption and high-efficiency real-time data transmission and monitoring tasks in a complex underground space environment.

The invention discloses a grouting pipe embedding device for municipal engineering construction, and relates to the technical field of grouting pipes. A falling piston rod can stably input gas in a gas-liquid two-way pipe into a rubber gas partition arranged outside the grouting pipe, so that the gas is expanded, and the grouting pipe is embedded in the gas-liquid two-way pipe; the spiral diameter of the expanded rubber air partition is larger than the diameter of the upper end and the diameter of the lower end of the grouting pipe, a spiral setting posture can be formed in the hole channel, the grouting pipe is stabilized in the hole channel, the grouting stability is improved, meanwhile, the spirally-wound rubber air partition can effectively block soil residues or broken stones falling in the hole channel, and the grouting effect is improved. In addition, the spiral rubber gas partition does not form isolated ring sealing on the hole channel, during grouting, gas in the underground space can be smoothly discharged through gaps of the spirally-set rubber gas partition, and the grouting quality is improved. The problem that a honeycomb-shaped wrapping layer is formed after gas in a narrow underground space cannot be discharged and is mixed and solidified with slurry is solved.

The invention discloses an urban underground space water level risk dynamic assessment method and device, and relates to the technical field of water level risk assessment, and the method comprises the steps: collecting underground space utilization characteristics of a preset city; collecting underground space geologic structure information of the preset city; the method comprises the following steps: collecting underground water level and rainfall information in real time through a laid sensor network, performing risk grading evaluation, and generating a water level risk grade; and performing underground water level risk prediction according to the water level risk level. According to the method, the technical problem that the underground water level risk management scientificity is insufficient due to the lack of dynamics and accuracy in urban underground space water level risk assessment in the prior art is solved, and the dynamic assessment and prediction of the urban underground space water level risk are realized; and the scientificity and accuracy of underground water level risk management are improved.

The invention discloses a multipath relay transmission method and system for underground confined space construction data, and belongs to the technical field of wireless communication network routing, and the method comprises the steps: obtaining a signal quality parameter of a communication link and a distribution density parameter of an ad hoc network node, and combining the load state of the node and the information of a neighbor node, decision calculation is executed on a plurality of relay nodes in parallel, relay decision vectors corresponding to the relay decision vectors are generated, a plurality of candidate transmission paths are formed through evaluation, construction data blocks to be transmitted are fragmented and distributed to the corresponding optimal candidate transmission paths to be sent in parallel, all received data fragmented sub-blocks are verified and recombined, and the construction data blocks to be transmitted are obtained. And recovering a complete construction data block. A distributed relay decision based on network state feature fusion, data adaptive fragmentation based on path stability and a multipath parallel transmission and feedback optimization mechanism are adopted, so that the data transmission reliability in an underground complex environment can be improved, the transmission delay is reduced, and the dynamic optimization of network performance is realized.

The invention discloses a sensor optimization arrangement method and system for rapid identification of physical field parameters of a tunnel with a long construction period, and relates to the technical field of underground space sensor arrangement. Sequentially establishing a tunnel geometric model, a physical model and a grid model, and setting boundary conditions to obtain a tunnel internal CFD model; verifying and correcting the CFD model in the tunnel based on the monitoring data after actual installation, and carrying out preliminary tunnel simulation by using the corrected model; and obtaining a weighted fusion mean value of tunnel physical field parameters based on a preliminary tunnel simulation result, carrying out deviation analysis on the weighted fusion mean value and a physical field parameter mean value at different heights, selecting a height range with a minimum error, and combining with a typical installation position to determine an optimal sensor layout scheme. According to the method, more accurate sensor monitoring data can be obtained by using a small number of sensors, and the identification speed and accuracy of tunnel physical field parameters are improved, so that potential safety hazards in a tunnel can be found and prevented in time.

The invention provides an underground space comprehensive development and utilization method, which relates to the technical field of underground space utilization and comprises three steps of data acquisition, construction of a development and utilization identification model and decision making of underground space comprehensive development and utilization. According to the method, meteorological, hydrological and social statistical data are supplemented, the geological conditions, environmental suitability and functional requirements of an underground space development area are structurally and comprehensively evaluated by using a geographic information system, so that the overall evaluation precision is improved, and the evaluation accuracy is improved by combining with a convolutional neural network. Decision support is provided for the purpose of comprehensive development and utilization of the underground space, subjectivity and deviation in traditional manual analysis are reduced, and the effect of improving decision efficiency is achieved.

The utility model belongs to the technical field of existing building expansion construction, and discloses a pile-to-column reinforcing construction device, which aims to solve the technical problems existing in the prior art that a pile foundation is adopted to form an underground space through downward digging of the pile foundation, and comprises a raft plate arranged on the upper portion of an original pile, and drilling anchoring holes are longitudinally formed in the periphery of the raft plate. Longitudinal load-bearing steel bars are anchored in the drilling anchoring holes and located on the outer side of the original pile, the tops of the longitudinal load-bearing steel bars penetrate through and are fixed to the original bearing platform, columns are arranged on the top of the original bearing platform, formworks are arranged on the peripheries of the longitudinal load-bearing steel bars, pouring pipes are connected to the formworks, and the pouring pipes penetrate through the original floor slab and then are connected with pouring funnels. And a concrete layer is poured between the template and the original pile. By means of the characteristics of a building structure and a high-position pressurization method, pouring of concrete of the enlarged section is improved, the concrete is compacted through the pressure of the concrete, and the phenomenon that pouring of concrete at the bottom of an original bearing platform and a newly-added section is not compact is avoided.