808 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.

The invention discloses equipment for detecting the construction quality of a supporting structure of an expressway tunnel and a control method of the equipment, and relates to equipment for detecting the construction quality of a wall tunnel of the supporting structure of the expressway tunnel during the construction period. An electric push rod is controlled to drive a motor to rotate to ensure that the radar antenna is tightly attached to the tunnel wall surface, and direct-current brushless motors at joints are driven to rotate by observing the tunnel wall surface to prevent the radar antenna from colliding with obstacles such as reinforcing steel bar heads on the wall surface. The method can effectively avoid obstacles on the wall surface of the supporting structure in the tunnel construction period in the detection process, guarantees that the radar antenna is constantly attached to the wall surface of the tunnel in the detection state, solves the problem that the surface of the tunnel lining is uneven in the construction period, and can obviously improve the detection efficiency and quality compared with a traditional detection technology. The method has good environment adaptability, and it is ensured that a detection instrument and the lining surface are always in a good contact state under the complex environment condition.

The utility model discloses a tunnel repairing system, a trolley and a heading machine, the tunnel repairing system comprises a detection module, a breaking module and a repairing module which are arranged in sequence, and the detection module, the breaking module and the repairing module all have the degree of freedom of axial stretching and the degree of freedom of circumferential rotation; the trolley comprises the tunnel repairing system. The heading machine comprises the trolley. The detection module can detect the inner wall of a tunnel, the breaking module can break the surface layer and the edge of an area needing to be repaired according to the detection result of the detection module, and the repairing module can automatically repair the area broken by the breaking module. According to the technical scheme, the tunnel can be monitored in a full range, detection data of each position can be recorded in real time, the data are analyzed by the processor in a unified mode, human intervention is not needed, hole wall clearing and guniting repairing can be automatically completed when a fault area is found, the detection efficiency and the detection quality can be guaranteed, and the influence of human factors on a detection result is avoided.

The invention provides an in-situ 3D printing secondary lining and propelling device based on a main beam type TBM. The device comprises a main beam, a three-dimensional motion module installed at one end of the main beam, a propelling module installed at the other end of the main beam and an in-situ 3D printing module installed on the three-dimensional motion module. The three-dimensional motion module is used for controlling the moving speed of an in-situ 3D printing spray head in the circumferential direction, the radial direction and the axial direction of a tunnel, the in-situ 3D printing module comprises a spray head and a structured light camera, and the structured light camera is used for scanning to generate tunnel wall morphology and providing data support for planning printing process parameters; the secondary lining with high mechanical reliability is manufactured in situ; and the propelling module supports and propels the whole device to advance along the tunnel on the premise of ensuring that the in-situ 3D printing secondary lining is not damaged. The method has great application potential in the aspects of self-adaptive regulation and control of secondary lining construction parameters and intelligent construction.

The invention discloses a concrete cave wall design method and system under the gradient temperature difference effect and a medium. Relates to the technical field of wind tunnel construction. According to the scheme, a first wind tunnel concrete tunnel wall model is constructed in finite element analysis software based on a first basic boundary condition, grid division is carried out on the first wind tunnel concrete tunnel wall model, gradient temperature difference loads are applied to grids, and first tunnel wall stress is solved; the design control stress is obtained by superposing the first cavern wall stress applying the gradient temperature difference load and the second cavern wall stress applying the conventional load, and the cavern wall temperature differences of different areas are superposed into the design control stress, so that the performance of the large-scale concrete cavern wall structure in the gradient temperature difference environment is ensured; and meanwhile, the nonuniformity of stress distribution of the tunnel wall is also considered during reinforcement design, so that the performance and the safety of the large-scale concrete tunnel wall structure in a gradient temperature difference environment are ensured.

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 provides a tunnel leakage global positioning method and system based on a contour enhanced segmentation network of panorama-infrared double cameras, and the method comprises the steps: capturing a 360-degree panorama image of a tunnel through a double-camera system integrating a double-fisheye camera and a thermal infrared camera, converting the panorama image into a plane image through an equidistant cylinder mapping method, and carrying out the global positioning of the tunnel leakage. The invention provides a tunnel wall segmentation method from a cylinder to a plane image to realize plane display of a tunnel wall surface, and meanwhile, the invention constructs an infrared image leakage segmentation network based on CEIL-Net, the network combines a contour enhancement technology and an attention mechanism, and the precision and robustness of leakage area segmentation are significantly improved. Besides, the leakage area in the infrared image is accurately mapped to the plane image of the tunnel through homography matrix calculation based on the camera attitude, and comprehensive visualization of the leakage position is achieved. The tunnel leakage area can be effectively identified and positioned, and the method is suitable for tunnel health monitoring and maintenance.

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.

The rapidly-folded air bag for tunnel plugging comprises a mounting base, the mounting base is of a cylindrical structure with the central axis extending in the front-back direction, and the mounting base is arranged in the middle of the air bag in the axial direction; the circumferential supporting structure is arranged in the circumferential direction of the mounting base, and the end, away from the mounting base, of the circumferential supporting structure is fixedly connected with the air bag; the stretching mechanisms are symmetrically arranged on the left and right sides of the mounting base; the stretching mechanism comprises an axial stretching structure and a radial stretching structure; the axial stretching structure comprises a first driving structure and a supporting assembly, and one end of the supporting assembly is fixedly connected with a fixing disc at the end of the air bag. The radial stretching structure comprises a supporting disc, the supporting disc comprises a sliding block, one end of the sliding block is used for ejecting the air bag to the tunnel wall, the radial stretching structure comprises a second driving structure, and the second driving structure drives the sliding block to move in the radial direction of the supporting disc; when the air bag needs to be inflated to block the tunnel, the air bag can stretch in two directions in the axial direction and the radial direction, and the air bag can be rapidly unfolded and folded.

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 provides a highway tunnel concrete surface disease inspection system and method, and belongs to the highway tunnel technology.The highway tunnel concrete surface disease inspection system comprises an initial inspection module, a reinspection module and a spot inspection module.According to the highway tunnel concrete surface disease inspection system, a track is installed on the tunnel wall, an automatic inspection device can automatically walk on the track, and the inspection efficiency is improved; and then detecting apparent diseases in a detection area by using an optical method, wherein the following main indexes and functions can be realized: identifying and positioning a crack of more than 0.2 mm in a target area; identification and positioning of other diseases or defects (such as water seepage and epidermis shedding) in the target area are realized; the positioning precision of diseases such as cracks, water seepage or epidermis falling is required to be within + / -(2-3) mm; and continuous viewing of the apparent area photos of the target area is realized, that is, further judgment and analysis of diseases can be further realized through other auxiliary photos by overall determination of disease positions.

The invention discloses an optical fiber acoustic wave comprehensive monitoring and detecting method and system, a plurality of optical cables and DAS optical fiber acoustic wave sensor equipment are arranged in a tunnel, ultrasonic waves and infrasonic waves are emitted in a tunnel environment through the DAS optical fiber acoustic wave sensor equipment, the ultrasonic waves are used for monitoring the outline of a tunnel wall, and the infrasonic waves are used for monitoring the infrasonic waves. The infrasonic waves are used for monitoring the geological variation condition outside the tunnel; various sound wave signals in a tunnel environment are sensed through the optical cable, the optical cable is caused to vibrate, the vibration signals are transmitted to the DAS optical fiber sound wave sensor equipment through the optical cable, and the vibration signals are transmitted to the cloud platform through the DAS optical fiber sound wave sensor equipment; received optical cable vibration signals are processed and analyzed through the cloud platform, and monitoring and abnormity alarming of the train running state, the tunnel wall contour and the geological change condition outside the tunnel are achieved; the optical cable is cheap, normal monitoring is not affected by foot kicking of people in the tunnel, and long-term and large-scale monitoring in the tunnel can be realized.

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.