1069 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 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 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 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 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.

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 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 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.

According to the method and device for predicting the blasting vibration waveform, the computer storage medium and the terminal, the random vibration prediction model constructed by modulating the white noise filtering model is used for testing each blast hole to obtain the single-hole waveform of the blast hole, the rock mass characteristics and the charging condition characteristics can be reflected, and the blasting vibration waveform prediction accuracy is improved. The accuracy of the underground blasting vibration prediction result is ensured, the single-hole blasting vibration waveform of related parameters determined according to the single-hole waveform is used as the superposition wavelet, the superposition calculation of the porous blasting vibration is completed, the method can be suitable for different types of porous blasting vibration waveforms, and under the condition that the applicability of the underground blasting vibration prediction result is ensured, the accuracy of the underground blasting vibration prediction result is ensured. A prediction model capable of reflecting porous blasting vibration waveforms such as rock mass characteristics and charging conditions is established, a tool is provided for urban underground space blasting construction, and technical support is provided for urban underground space construction.

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 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.

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 an InSAR-based underground excavation space geometric parameter inversion method and system. The method comprises the steps of obtaining a ground surface deformation field of a research area where an underground excavation space is located based on an InSAR technology; underground space positioning prior information is collected according to the earth surface deformation field; geological prior information of the underground space is collected; fusing to obtain a priori information set of underground space geometric parameters; according to the prior information set, constructing a function relationship between InSAR observation deformation and ground surface three-dimensional deformation induced by underground space through a probability integral method; establishing a likelihood function based on the InSAR observation data and the earth surface deformation data; inverting the underground space geometric parameters based on the Bayesian theorem and a likelihood function to obtain underground space geometric parameter posterior distribution; and solving the underground space geometric parameter posterior distribution by using a differential evolution adaptive Metropolis algorithm to obtain an inversion result. And the accuracy and precision of the inversion result are improved.

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.