634 results about "Tunnel wall" patented technology

The invention discloses a subway tunnel intrusion monitoring and early warning system and method, and relates to the technical field of subway safety monitoring. The system comprises a vibration monitoring module, a stress monitoring module, a signal analysis unit, an alarm unit and a database module, wherein the vibration monitoring module adopts a distributed vibration sensing optical cable to collect tunnel wall surface vibration signals in real time; the stress monitoring module monitors the stress change of the tunnel structure through a spirally wound and pre-embedded fiber grating array; the signal analysis unit decomposes vibration frequency band energy through wavelet packet transformation, counts a stress standard deviation in combination with a sliding time window, and performs multi-modal feature matching with an abnormal signal database by using a dynamic time warping algorithm; and the alarm unit triggers multi-stage response according to a feature matching degree threshold value or vibration-stress space-time correlation abnormity, and train speed limiting control is linked. The problems that the single-mode false alarm rate is high, multi-source interference cannot be decoupled and stress monitoring coverage is insufficient are solved, recognition and early warning of construction intrusion events are achieved, and tunnel structure safety is improved.

The invention discloses a tunnel fracture recognition method based on three-dimensional live-action reconstruction and ordered re-acquisition of a virtual camera. The method specifically comprises the following steps: acquiring a multi-view rock fracture image; acquiring three-dimensional point cloud data of a tunnel wall surface according to the acquired rock mass fracture image, reconstructing a geometrical shape of the tunnel, mapping acquired texture information to a three-dimensional grid vertex through an image processing algorithm, and generating a three-dimensional tunnel model; setting parameters of the virtual camera, orderly collecting to form a virtual image, and enabling the position of the virtual camera to correspond to the real position of the model; and extracting information of the crack of the virtual image, and projecting the coordinates of the two-dimensional image back to the three-dimensional space through the projection matrix to obtain the space coordinates of the crack. A virtual image is generated by combining a texture mapping technology of a three-dimensional model, so that the limitation of a visual angle, illumination and space in actual image acquisition is overcome, and high-precision identification of tunnel cracks is realized.

The invention discloses a multipath ghosting suppression method for a millimeter-wave radar tunnel scene, which is applied to the field of millimeter-wave radar target detection and aims to solve the problem of poor multipath ghosting suppression effect in the tunnel scene in the prior art. The method comprises the following steps: firstly, constructing a confidence criterion by using multi-dimensional information point cloud data generated by radar original echoes, and performing density-based clustering on the point cloud data; performing linear fitting on the zero Doppler point cloud to obtain slope information of the tunnel wall, matching the slope of the perpendicular bisector of the dynamic point cloud pair with the slope set, and judging the target pair with lower confidence in the successfully associated target pair as a multipath ghosting; and finally, in consideration of motion characteristics of targets in the tunnel and a multipath reflection geometric model, performing transverse and longitudinal double-rectangular region division on the dynamic point cloud, performing Doppler information constraint on point cloud data in the region, and screening out the targets which meet conditions and are relatively low in confidence coefficient and judging the targets as multipath ghosts. According to the invention, vehicle targets in a semi-closed environment can be detected, and multipath ghosts generated by reflection of tunnel walls, handrails and the like can be effectively identified and inhibited while real targets are reserved.

A combined dust suppression system for a metal ore unloading station, and a using method. The combined dust suppression system consists of an ore unloading station tunnel wall surface accumulated dust high-pressure water flushing device, an ore unloading station tunnel floor spraying, watering, and wetting device, and an ore unloading station ore train floor bidirectional high-pressure spray dust suppression device. The ore unloading station tunnel wall surface accumulated dust high-pressure water flushing device is used for performing manual flushing on a tunnel by means of high-pressure water in the travel direction of an ore unloading train, the ore unloading station tunnel floor spraying, watering, and wetting device is used for performing spraying, watering, and wetting on the tunnel, and the ore unloading station ore train floor bidirectional high-pressure spray dust suppression device isolates dust generated during ore unloading at the ore unloading station. The water consumption can be reduced, excessive water in an ore unloading pit that causes adhesion and blockage can be effectively avoided, the field applicability of high-pressure spray dust suppression measures is improved, and on-demand spray dust removal of a high-pressure spray device is achieved; high-pressure water is used for flushing accumulated dust on the tunnel wall surfaces of ore unloading stations, and the tunnel floors of ore unloading stations are sprayed, watered, and wetted, thereby achieving significant comprehensive dust suppression and dust control effects, and notable energy-saving effects.

The invention discloses a tunnel dew formation and icing rapid monitoring method and system based on a space-time phase change cooperation mechanism, and relates to the technical field of tunnel engineering safety monitoring and freeze injury prevention and control. Establishing a tunnel geometric model and a heat-humidity-turbulence multi-field coupling physical model; synchronously acquiring heat and humidity physical property parameters and outdoor hourly meteorological parameters; taking the outdoor hourly meteorological parameters as Dirichlet boundary conditions and initial conditions of a heat-humidity-turbulence multi-field coupling physical model; determining a heat and humidity exchange coupling process of the tunnel wall surface and the internal environment, and defining heat and humidity transfer parameters under an unsteady state boundary; performing discretization processing on the tunnel geometric model by adopting a grid division strategy; by setting a dew point temperature threshold value and an icing temperature threshold value, a condensation risk area is judged, dynamic changes of the thickness of an ice layer are quantified, and monitoring of tunnel condensation and icing is achieved. The method can effectively reflect the distribution rule of multiple physical fields on the surface and in the tunnel in any time, accurately judge the risk area and quantify the thickness of the ice layer.

The invention provides a method and system for inverting metro train wheel out-of-smoothness through tunnel wall vibration source intensity data, and belongs to the technical field of accurate quantitative inversion of train wheel out-of-smoothness, and the method comprises the steps: obtaining actual measurement data of wheel out-of-smoothness, track irregularity and tunnel wall vibration source intensity; on the basis of the probability mapping relation between the out-of-roundness of the wheels and the source strength of the tunnel wall, actually measured source strength data of the tunnel wall are input into a model by utilizing a pre-trained probability machine learning model, so that probability statistics of the out-of-roundness of the train wheels is output, and accurate inversion of the out-of-roundness state of the wheels is realized. According to the method, random excitation of a wheel track system and a dynamic coupling mechanism of a vehicle-track-tunnel-stratum system are considered; meanwhile, wheel out-of-roundness probability statistics of a group of whole-line trains is quantitatively inverted by considering a probability mapping relation between wheel out-of-roundness excitation and tunnel wall source intensity response.

The invention provides a tunnel point position change automatic observation method and system combined with an AI algorithm, and relates to the technical field of tunnel monitoring, and the method comprises the steps: employing a speckle projector to form an irregular speckle pattern on a tunnel wall surface, and carrying out the multi-angle collection through a polarized light camera array, and obtaining the speckle intensity data; pre-embedding a coding microstructure generated based on quantum state superposition in the speckle pattern; establishing a speckle-stress correlation analysis model according to the speckle intensity data, and calculating three-dimensional displacement data in combination with the deformation data; and inputting the environmental monitoring data, the stress distribution data and the displacement data into the self-evolution heterogeneous feature network for analysis and prediction. According to the method, the measurement precision is improved by adopting the quantum coding speckles, the dynamic correlation analysis of multi-source data is realized through the self-evolution heterogeneous feature network, and the environmental adaptability and prediction accuracy of the system are enhanced.

The invention relates to the technical field of tunnel engineering, and discloses a tunnel earthquake three-dimensional full-waveform inversion method, which comprises the following steps: S1, establishing a three-dimensional initial velocity model: establishing the three-dimensional initial velocity model based on a common reflection point migration method of ellipsoid expansion; s2, forward modeling three-dimensional full-space wave field characteristic analysis: performing forward modeling in the established typical unfavorable geologic body model, setting a seismic source point on a tunnel wall or a tunnel face, setting a detection point on the tunnel wall, and analyzing three-dimensional full-space wave field signal characteristics received at the positions of the tunnel wall and the tunnel face; s3, full-waveform inversion numerical simulation: realizing a full-waveform inversion numerical model experiment on the basis of the established initial velocity model to obtain simulation data; s5, performing three-dimensional full-waveform inversion imaging; and S6, result verification. The tunnel earthquake three-dimensional full-waveform inversion precision can be improved, and the tunnel earthquake three-dimensional advanced prediction method which is low in cost, safe, efficient and high in precision is achieved.

The utility model relates to blast hole drilling equipment for tunnel construction, and relates to the technical field of tunnel blast hole drilling, the blast hole drilling equipment comprises a base, rollers are arranged at the bottom of the base, a combined sliding rail is fixedly mounted on the base, and a translation table is slidably arranged on the combined sliding rail in the width direction of the base; a lifting table is arranged on the translation table in the height direction of the base in a sliding mode, a drill floor is arranged on the lifting table in the length direction of the base in a sliding mode, and a drill bit is rotationally arranged at the end, in the length direction of the base, of the drill floor. The tunnel drilling device has the effects that different width positions of the tunnel wall face can be conveniently drilled, the operation of re-aligning a drill bit is reduced, and the drilling efficiency is improved.

The present invention relates to a communication channel excavation equipment and a construction method thereof. The communication channel excavation equipment is used to excavate a communication channel (30) between a starting side main tunnel (10) and a receiving side main tunnel (20), and comprises: an excavation main machine (40), comprising a shield (41), a cutterhead (42) arranged at the front end of the shield (41), and a cutterhead driving element (43) arranged in the shield (41) for driving the cutterhead (42); and a driving mechanism (50), which is configured to be connected to a tunnel wall of the starting side main tunnel (10) adjacent to the communication channel (30) and to apply a driving force to make the excavation main machine (40) excavate toward the receiving side main tunnel (20).

The invention provides a rear support of a heading machine and the heading machine, and belongs to the field of tunnel construction equipment. The rear support of the heading machine comprises a supporting arm assembly, a vertical direction adjusting device and a horizontal direction adjusting device, the supporting arm assembly comprises a supporting arm mounting base and a moving base which is arranged on the supporting arm mounting base in a guiding mode and can move on the supporting arm mounting base in a guiding mode in the left-right direction, and the vertical direction adjusting device and the horizontal direction adjusting device are both installed on the moving base. A moving driving device used for driving the moving base to move is arranged on the supporting arm mounting base, and a supporting structure used for tightly supporting the tunnel wall leftwards and rightwards is arranged on the supporting arm mounting base. The heading machine comprises the heading machine rear support. The vertical direction adjusting device and the horizontal direction adjusting device are arranged on the moving seat capable of moving left and right on the supporting arm mounting seat, so that the moving seat can be used for driving the tail end of the main beam or the inner yoke to have larger left-right deflection amplitude, a supporting shoe tool does not need to be used, and the construction efficiency is improved.

The invention relates to the technical field of tunnel engineering, in particular to a tunnel rockburst risk assessment method and prevention method, and the assessment method comprises the steps: installing a plurality of first micro-seismic sensors in the circumferential direction of a tunnel wall within a preset distance range behind a tunnel face, determining an initial rockburst range based on the micro-seismic data collected by the first micro-seismic sensor; and a plurality of second micro-seismic sensors are annularly installed on the tunnel wall corresponding to the initial rockburst range, the monitoring precision of the second micro-seismic sensors is higher than that of the first micro-seismic sensors, and the final rockburst position is determined based on micro-seismic data collected by the second micro-seismic sensors. The tunnel rock burst occurrence position can be finely determined, and hydraulic slotting pressure relief is guided.

The invention discloses a tunnel micro-seismic enhanced positioning method and system based on a DAS and a blasting active source signal. The method comprises the steps that firstly, optical fibers are arranged on the surface of a tunnel wall and in a drill hole; blasting the tunnel face to generate a blasting active source signal with known time and space; then, a blasting active source signal is collected through a DAS system, and P wave arrival time of each monitoring point on the optical fiber is recorded; establishing and optimizing a wave velocity field partition model according to the spatio-temporal information of the blasting active source signal and P wave arrival time of each monitoring point on the optical fiber; and when a micro-seismic event occurs in the surrounding rock, the optimized wave velocity field partition model and P wave arrival time measured at each monitoring point on the optical fiber are utilized, a geometric algorithm is combined to invert and position the micro-seismic event, and a positioning result is output. The system comprises a signal acquisition system, an optical fiber network and a DAS system. The method has the advantages that the wave velocity field model is optimized and dynamically updated by using the tunnel face blasting signal, and the distributed sensing is performed by using the DAS system, so that the capability of monitoring and evaluating the micro-seismic event of the tunnel is remarkably enhanced.

The invention discloses a soft rock tunnel overexcavation backfill method, and relates to the technical field of tunnel construction.The soft rock tunnel overexcavation backfill method comprises the steps that a three-dimensional live-action image in a tunnel is scanned; establishing a three-dimensional live-action model according to the three-dimensional live-action image; establishing a digital twin model of the tunnel according to a design drawing; carrying out geometric intersection on the three-dimensional live-action model and the digital twin model to obtain geometric parameters of an overexcavation area; a concrete mold is subjected to 3D printing according to the geometric parameters of the overexcavation area; concrete is poured into the concrete mold, and a backfill body is formed; and the backfill body is backfilled to the overexcavation area. Due to the fact that the formed backfill body is tightly attached to the tunnel wall of the overexcavation area, the backfill precision is effectively improved, the construction quality is improved, the stability and the bearing capacity of the inner wall of the tunnel are enhanced, potential safety hazards are reduced, the concrete backfill work amount can be accurately controlled, the construction cost is reduced, and material waste is avoided.

An internal and external coupling shear resistance locking control system and monitoring method of tunnel surrounding rocks, comprises an internal shear resistance and monitoring system of tunnel surrounding rocks, an external shear resistance and monitoring system of tunnel surrounding rocks, a relative shear displacement monitoring system of the tunnel walls and the roof and floor layers, and an anchor agent installation system; holes are expanded in the anchor cable drilling holes passing through coal-rock interface areas of the coal walls and roof and floor rock layers to form shear misalignment tolerance cavities; monitoring pressure values of measuring bags and liquid discharge in the shear misalignment tolerance cavities to determine shear deformations of the shear misalignment tolerance cavities, monitoring forces on anchor cables, compensating pull rods and shear resistance steel strips, and adjusting the shear resistance of the anchor cable and steel belt through the compensation rod structure.

The invention provides a device for weakening side wall interference in a transient wind tunnel airfoil test, and belongs to the technical field of aerospace wind tunnel test aerodynamic force test. The objective of the invention is to weaken the interference effect of the side wall during a transient wind tunnel airfoil test. The device comprises a to-be-tested airfoil profile, a separating and removing device, a wind tunnel wall and a random cover plate, square supporting structures are arranged at the two ends of the to-be-tested wing section, the to-be-tested wing section is fixed on the wall of the wind tunnel through the supporting structures, the two shape-following cover plates are fixed on the upper and lower sides of the supporting structures through second fixing screws, and mounting grooves are formed between the shape-following cover plates and the to-be-tested wing section; the whole separating and removing device is in a disc shape, a rectangular through hole with the same size as the supporting structure is formed in the middle of the disc, and the separating and removing device is installed in the installation groove and fixedly connected with the wing-shaped side face to be detected through a first fixing screw. According to the invention, the interference effect of the side wall during the temporary impact type wind tunnel airfoil test is effectively weakened, the efficiency of the temporary impact type wind tunnel airfoil test is improved, and the test cost is reduced.

The invention relates to the technical field of tunnel crack detection, and discloses a tunnel crack image identification method and a tunnel wall uniform image detection system. The method comprises the steps that tunnel images are collected, images belonging to cracks are calibrated to form an image set, and a crack target sample library is constructed; performing target detection identification on the collected tunnel image set, optimizing a target identification method according to an identification result, and outputting multiple tunnel crack disease detection images; extracting crack features from the collected tunnel image set; and based on the multiple tunnel crack disease detection images, performing pixel-level segmentation on the tunnel crack disease to complete tunnel crack identification. According to the invention, the traditional layout is broken, the requirements of closer shooting object distance and depth of field are met, and the detection requirement of smaller width of the welding seam is met; according to the algorithm level, a front image preprocessing part of deep learning training is optimized, especially contrast enhancement, multi-level fusion and the like are added, and the recognition accuracy of a tiny target can be further improved.

The invention discloses an air-ground cooperative system model prediction formation control method in an underground pipe gallery environment, and the method comprises the steps: constructing an air-ground cooperative system nonlinear model, and constructing an underground pipe gallery model; designing a high-order interference observer to estimate current unknown external disturbance, and establishing an interference prediction model to estimate future unknown external disturbance; a rolling optimization control strategy based on state prediction is designed, control signals of all followers are optimized according to the current state of the system and the predicted future state in each control period, and the tracking precision is ensured while the tracking precision is improved. Collision between followers, collision between the followers and the wall of the pipe gallery and obstacle avoidance between the followers and static and dynamic obstacles in the pipe gallery are achieved; and solving is carried out based on a distributed model prediction formation control algorithm combined with a Lyapunov stability theory, so that each follower keeps an expected formation configuration while tracking a leader trajectory. And the driving safety of the formation in the underground pipe gallery environment is ensured.

The application discloses a kind of multi-path ghost suppression method of millimeter wave radar tunnel scene, it is applied to millimeter wave radar target detection field, for the poor multi-path ghost suppression effect in tunnel scene of prior art;The application first constructs confidence criterion using the multidimensional information point cloud data generated by radar original echo, and carries out density-based clustering to point cloud data;Then linear fitting is carried out to zero doppler point cloud to obtain the slope information of tunnel wall, simultaneously, the median line slope of dynamic point cloud pair is matched with the slope set, and the target pair associated successfully is judged as multi-path ghost with lower confidence;Finally, considering the motion characteristics of target in tunnel, as well as multi-path reflection geometric model, the double rectangular region division of transverse and longitudinal is carried out to dynamic point cloud, and the point cloud data in region is subjected to Doppler information constraint, and the target satisfying the condition and with lower confidence is screened out and judged as multi-path ghost.The application can detect vehicle target in semi-closed environment, while retaining real target, can effectively identify and suppress the multi-path ghost generated by reflection of tunnel wall and railing etc..

The invention provides a weak tunnel wall interference device for a 1-meter transonic wind tunnel airfoil test, and belongs to the technical field of wind tunnel tests. The invention aims to weaken the interference effect of upper and lower tunnel walls during transonic wind tunnel airfoil test. A test section and a wind tunnel body are arranged in a plenum chamber, the wind tunnel body is located on the outlet side of the test section, and the test section comprises left and right side walls, upper and lower ventilation walls, a hinge seat, an adjusting seat, left and right frames and upper and lower frames; the side walls are solid walls and are mounted on the left and right frames, the incoming flow sides of the ventilation walls are connected with the hinge seats, and the outgoing flow sides are connected with the adjusting seats; the four injection seam adjusting pieces are arranged on the outer sides of the left and right side walls and the upper and lower ventilation walls, the outflow side is hinged to the wind tunnel body, the inflow side is connected with a motor driving pull rod on the plenum chamber, and the injection seam adjusting pieces make contact with the outer side lines of the left and right side walls and the upper and lower ventilation walls when closed. The method can effectively weaken the interference effect of the upper and lower tunnel walls during the transonic wind tunnel airfoil test, and improves the data accuracy during the airfoil test of the transonic wind tunnel.

The invention provides a method for monitoring cracks in a high-pressure vibration state of a wind tunnel in real time, and belongs to the technical field of wind tunnels. A piezoelectric ceramic sensor array is arranged on the wall surface of the wind tunnel, a vibration fatigue matrix and a structure resonance matrix are established, and a self-adaptive filtering algorithm is adopted to preprocess sensor signals; establishing a vibration coupling equation set to extract crack characteristic parameters, constructing a dynamic threshold discrimination matrix and a risk assessment matrix, utilizing a multi-sensor data fusion algorithm to accurately position crack positions and sizes, calculating risk levels according to a crack risk assessment index equation, and performing three-level safety discrimination. A complete crack real-time monitoring and risk assessment system in the high-pressure vibration environment is formed, and the technical problems that in the prior art, crack monitoring precision is low in the high-pressure vibration environment, and real-time risk assessment cannot be achieved are solved.

The invention discloses a tunnel surrounding rock comprehensive elastic modulus testing method and system based on a surface wave method, and relates to the technical field of tunnel surrounding rock elastic model testing, and the method comprises the steps: collecting surface wave signals through detectors in a plurality of detection holes preset in a tunnel wall on the premise of exciting a seismic source signal; performing signal conversion on each preprocessed surface wave signal to obtain a plurality of first signals of a frequency domain type; performing smooth summation processing on the first signals subjected to the linear dynamic correction processing to obtain an output result; obtaining corresponding surface wave energy data through the output result, and obtaining a corresponding surface wave frequency dispersion curve based on extraction of the surface wave energy data; according to the surface wave dispersion curve, surface wave velocities of different depths in the surrounding rock are obtained through inversion, and the comprehensive elastic modulus of the tunnel surrounding rock is obtained through calculation based on the surface wave velocities; testing is carried out based on a surface wave method, drilling and coring are not needed, and the method has the advantages of high testing efficiency, low cost, small disturbance to surrounding rock and the like.

The invention discloses a subway tunnel wall stress self-adaptive monitoring method and device and a medium, and the method comprises the steps: obtaining a vibration signal collected by a train vibration sensor and an optical signal collected by a distributed optical fiber sensor in real time, demodulating the vibration signal and the optical signal, and calculating the actual stress under the thermal-mechanical coupling effect, dynamic displacement of the tunnel wall is extracted according to the vibration signal, dynamic stress is calculated, and then actual stress under the heat-force-vibration multi-field coupling effect is calculated; carrying out noise reduction processing on the stress signal monitored in real time by using wavelet transform, and predicting actual stress data under the multi-field coupling action by using Kalman filtering according to the stress signal subjected to noise reduction processing to obtain corrected stress data; and inputting the corrected stress data into the LSTM-SVM model to obtain a final stress prediction result. According to the method, the stress state of the subway tunnel wall can be comprehensively and continuously monitored, and meanwhile, the monitoring precision, stability and robustness in a complex and dynamic tunnel environment are improved.

The invention relates to an electrical installation with at least one arrangement (1) for the touch-proof contacting of busbars, wherein the arrangement (1) has a touch-proof housing (4) made of electrically insulating material in which busbars (2) are received in a touch-proof manner and wherein the touch-proof housing (4) has a receptacle (3) for a base (5) having the busbars (2) as well as a cover (6) closing the receptacles (3) and detachably connected to the base (5) with a flat mounting side (9) for busbar adapters (7).The arrangement (1) further comprises at least one single- or multi-pole busbar adapter (7) for electrically contacting at least one of the power busbars (2), which can be mounted on the flat mounting side (9) and for this purpose extends through the cover (6) via through slots (14) with at least one contact element for electrically contacting one of the power busbars (2) on one side and retaining feet that engage behind the power busbars (2) on the other. The base (5) has at least one tunnel (11) for cable passage, enclosed by a tunnel wall (10), which extends between opposite longitudinal sides (12, 13) of the touch protection housing (4). At least one electrical conductor and / or at least one signal line is routed through the tunnel (11) between the opposite longitudinal sides (12, 13) of the touch protection housing (4).

The invention provides a needle beam trolley construction digital management method, and relates to the technical field of digital management, and the method comprises the steps: employing a laser scanner to scan the wall surface of a to-be-constructed tunnel; acquiring position information of a plurality of working windows of the needle beam trolley; carrying out operation sequence enumeration by taking the maximum number of cooperative work windows as a constraint, and generating a plurality of work window operation sequences; based on the tunnel wall face three-dimensional model, with the requirement for the expected construction quality as the constraint and the requirement for maximizing the construction efficiency as the target, according to the multiple working window operation sequences, casting parameter and vibration parameter optimization is conducted, an optimal construction scheme is output, and digital construction management is conducted on the needle beam trolley. The technical problem of low construction efficiency caused by unreasonable operation sequence and non-uniform resource distribution in the construction process is solved, spatial perception is performed on the to-be-constructed tunnel through three-dimensional modeling, multi-aspect optimization is realized in combination with digital management, and the construction efficiency and precision of the needle beam trolley are improved.

The invention discloses a highway tunnel inspection system and method based on an unmanned aerial vehicle, and relates to the field of highway tunnel inspection, an unmanned aerial vehicle module, a monitoring module and a protection module, the monitoring module is arranged on the unmanned aerial vehicle module, and the monitoring module is used for obtaining images and data in a tunnel; the protection module comprises a protection frame, the protection frame comprises a plurality of polygonal frames, the protection frame is a polyhedral frame formed by connecting the vertexes of the polygonal frames, the unmanned aerial vehicle module and the monitoring module are located in the protection frame, and each polygonal frame is provided with a plurality of anti-collision air bags. According to the system, the unmanned aerial vehicle module and the monitoring module are wrapped in the polyhedral frame, through the polyhedral frame and the rolling anti-collision air bag on the polyhedral frame, the anti-collision performance and the flight safety performance of the unmanned aerial vehicle are effectively improved, the system can roll and fly close to the tunnel wall, and the influence of vehicle wind pressure on the flight stability of the unmanned aerial vehicle is prevented.

The invention relates to the technical field of tunnel detection, in particular to a tunnel wall surface deformation detection method based on computer image recognition, which comprises the following steps: S1, setting an image acquisition system; s2, image preprocessing; s3, extracting wall surface features; s4, deformation detection; and S5, deformation early warning and reporting. In an image acquisition link, image acquisition is not singly carried out, and three-dimensional point cloud data of a tunnel wall surface is acquired by utilizing a laser radar technology to assist image acquisition and is fused with image data. By making the features in the image correspond to the space coordinates in the three-dimensional point cloud data, the deformation condition of the tunnel wall surface can be analyzed more accurately, especially when the wall surface with a complex geometrical shape is processed, a more comprehensive space information preprocessing link can be provided, and the processing efficiency of the tunnel wall surface is improved. And in combination with an image registration technology in image preprocessing, the analysis efficiency among multiple images can be improved, and repeated processing caused by image differences is avoided, so that the deformation detection precision is improved.

The invention discloses a full-section tunnel boring machine capable of preventing rockburst and a construction method of the full-section tunnel boring machine. A plurality of stone cutting machines are arranged in the area where the disc face of a cutter disc is located and used for forming kerfs in a tunnel face and a tunnel wall; a rockburst micro-seismic monitoring system is arranged behind the shield and connected with a plurality of sensors, and the sensors are distributed on the two sides of the kerf in the tunnel wall. The full-face tunnel boring machine capable of preventing rockburst can cut the tunnel face and the tunnel hole wall, so that the tangential concentrated stress of the excavation tunnel face and the tunnel hole wall is effectively transferred to deep surrounding rock, and the tangential stress concentration level of the tunnel face and the tunnel hole wall is reduced; meanwhile, reduction of surrounding rock stress concentration degree and maintenance of completeness and stability of the surrounding rock are effectively combined. The full-face tunnel boring machine for preventing rock burst can organically combine joint cutting construction and tunneling, tunnel wall joint cutting operation can be carried out while TBM tunneling is carried out, safe and efficient construction is achieved, construction is convenient and fast, and disturbance to surrounding rock is small.

The invention provides a 0.6-meter wind tunnel infrared test section. The 0.6-meter wind tunnel infrared test section comprises a rack car; the frame is arranged at the top of the rack car and slidably connected with the rack car, and positioning pin structures are arranged at the two ends of the frame respectively; the test area hole wall assembly is arranged in the frame and is in sliding connection with the frame, the test area hole wall assembly can be moved out of the frame, a positioning connecting piece is arranged on the test area hole wall assembly, and the positioning connecting piece is connected with the frame; the support area hole wall assembly is fixedly arranged in the frame; the model bracket comprises a support and a semi-curved knife, and the support is fixedly connected with the rack car; the semi-curved knife movably penetrates through the bottom of the bracket area hole wall assembly; the upper end of the half-bent knife is used for installing a model. The test area hole wall assembly can be drawn out from the test section, and germanium glass of the lower wall plate of the test area is prevented from being damaged when the model is installed; the model support adopts a half-curved knife form, the upper end of the half-curved knife is not connected with the test area upper wall plate, the space above the test area upper wall plate is not occupied, the camera arrangement requirement is met, and the device is suitable for a wind tunnel infrared test.

The invention belongs to the technical field of tunnel hole wall sprayed concrete, and particularly relates to a tunnel hole wall sprayed concrete over-consumption intelligent control system which comprises a data acquisition module, a data processing module, a control module, a database and a man-machine interaction module, and the data acquisition module further comprises a pressure sensor, a flow sensor and a displacement sensor. According to the intelligent control system for the excessive consumption of the sprayed concrete on the tunnel wall, the data acquisition module monitors the working state of spraying equipment, the concrete dosage and the spraying pressure in real time through various sensors, and the controllability and safety of the construction process are ensured; the data processing module adopts a big data analysis and machine learning algorithm, can accurately identify the reasons and specific conditions of overconsumption, and is helpful for timely finding problems and taking measures; and the control module automatically adjusts working parameters of the spraying equipment according to a data processing result, optimizes the concrete spraying amount, reduces material waste and improves the construction efficiency.