52 results about "3d laser scanner" patented technology

The invention relates to the technical field of tunnel and underground engineering construction, and discloses an intelligent closed-loop control system and method for a tunnel construction section contour, and the method comprises the steps: collecting geological-geometric data through the fusion of a three-dimensional laser scanner and a geological radar before blasting; dynamically generating a theoretical blasting contour line and adaptive blasting parameters through a convolutional neural network; iMU positioning and a PID controller are combined to realize millimeter-level accurate control of the drill boom; generating a three-dimensional deviation field by adopting an iterative point cloud registration algorithm after blasting; when the deviation exceeds a threshold value, triggering incremental learning to optimize model parameters; and finally, closed-loop iteration is formed. Through multi-source data fusion, contour and parameter intelligent generation, precise execution control, three-dimensional deviation field feedback and an incremental learning mechanism, a complete intelligent closed-loop control system is constructed, the limitation of traditional blasting design depending on experience is broken through, and the precision, efficiency and economic benefits of tunnel construction are remarkably improved.

The invention belongs to the technical field of leakage detection, and particularly relates to an existing building basement side wall leakage three-dimensional detection system and method based on an intelligent wall-climbing robot. The detection system comprises an intelligent wall-climbing robot platform, a multi-modal detection sensor group, a data processing and analysis system and a user interaction terminal, wherein the multi-modal detection sensor group is carried on the intelligent wall-climbing robot platform; the intelligent wall-climbing robot platform comprises a moving adsorption system, a moving mechanism, a positioning navigation system, a posture adjusting mechanism and a communication power supply device. The multi-modal detection sensor group comprises an infrared thermal imager, a high-resolution visible light camera, a 3D laser scanner, a wall penetrating radar, a capacitive humidity sensor and an ultrasonic thickness gauge; the data processing and analysis system comprises an edge computing unit and a cloud analysis platform; the edge calculation unit is responsible for real-time data acquisition, preprocessing, sensor control and motion control. According to the existing building basement side wall leakage three-dimensional detection system and method based on the intelligent wall-climbing robot, full-thickness detection coverage from the surface layer to the deep layer, conversion from manual operation to full-automatic wall climbing and crossing from single-point detection to path tracking are achieved.

This invention relates to the field of hydropower station construction, specifically disclosing an intelligent splicing method for elbow pipes based on digital pre-assembly. The method includes: S1: Establishing an absolute coordinate measurement control network in the pre-assembly area; S2: Setting a checkerboard target for positioning on the surface of the elbow pipe block and scanning the block using a 3D laser scanner; S3: Performing multi-site point cloud splicing based on the center coordinates of the target sphere to reconstruct a complete block point cloud model; S4: Processing the complete block point cloud model using a voxel grid centroid sampling method; S5: Establishing a theoretical BIM model and placing it in the coordinate system of the control network to obtain the ideal installation posture; S6: Using an iterative nearest-point algorithm, matching the simplified block point cloud model with the theoretical model in spatial pose to obtain the final installation posture of the elbow pipe block; S7: Based on the final installation posture, calculating the theoretical installation coordinates of the checkerboard target center, generating adjustment commands, and positioning the elbow pipe block according to the commands. This method solves the technical problems of low efficiency and poor accuracy in traditional elbow pipe component assembly, as well as difficulties in segment alignment due to accumulated manufacturing errors.

1. Name of the product in this design: 3D Laser Scanner (UCL360 Nano). 2. Application of this design: This design is intended for use with a 3D laser scanner. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view.

This invention discloses a landslide deformation monitoring method based on slope radar and 3D scanning, comprising: simultaneously acquiring deformation echo signals and high-density point cloud data using slope radar and a 3D laser scanner; constructing a simplified point cloud model using a point cloud topology optimization algorithm; spatiotemporally registering the multi-source data; building a multi-field coupling analysis framework by combining a slope stress-deformation coupling model; analyzing the temporal evolution of deformation using a dynamic deformation time-series model; extracting key parameters such as deformation rate and cumulative deformation; and realizing 3D dynamic display through a deformation data visualization analysis platform. This invention, through spatiotemporal registration, multi-field coupling analysis, and time-series modeling, accurately captures deformation characteristics and abrupt change patterns, balancing monitoring accuracy and efficiency, providing comprehensive and intuitive technical support for landslide risk prevention and control, and is applicable to landslide deformation monitoring scenarios with complex slope terrain.

This invention provides a process for welding positioning ribs in a nuclear power generator, comprising the following steps: S1: Place the generator base horizontally on a platform and level it; S2: Mark the machining allowance line and hammer a punch; S3: Turn the generator base upside down, place it upright on the platform, and level it; S4: Install the positioning rib welding fixture according to the marked circular line in S2 and spot weld it in place; S5: Pull steel wires at the slots of the positioning rib welding fixtures at both ends of the generator base; S6: Weld the limiting round steel; S7: Remove the steel wires and hoist the positioning ribs in groups; S8: Adjust the positioning rib welding fixtures so that the positioning ribs are tightly attached to the limiting round steel; S9: Assemble the support blocks and spot weld them in place; S10: Use a 3D laser scanner to detect the position and dimensions of the positioning ribs and record the data; S11: Weld in sequence, and perform flat welding on all welds; S12: Grind the welds and perform 100% flaw detection. S13: Remove the positioning rib welding fixture, and finally use a 3D laser scanner to detect the position and size of the positioning rib, and record it for future reference.

A support frame for 3D laser scanner measurement includes: a base, fixed legs, a fixed pan / tilt head, a first height fine-tuning unit, and a second height fine-tuning unit. The 3D laser scanner is mounted on top of the base, and the fixed legs are pivotally connected to the bottom of the base. The fixed legs are positioned on the ground. The fixed pan / tilt head is positioned between the base and the 3D laser scanner. The first height fine-tuning unit is located below the fixed pan / tilt head, extending from the top to the bottom of the base. The second height fine-tuning unit is located inside the first height fine-tuning unit, extending from the top of the fixed pan / tilt head to the bottom of the first height fine-tuning unit. This invention solves the technical problem of the limited vertical field of view of the 3D laser scanner, resulting in a scanning blind zone near the bottom of the support frame, and avoids the technical problem of the fixed legs of the support frame swinging after being brought together, leading to damage to the fixed legs.

The application discloses a train wheel defect detection method based on three-dimensional information, which comprises data acquisition, data preprocessing, laser line extraction, laser coordinate transformation, three-dimensional wheel splicing and defect detection. The application adopts the combination of multiple linear array cameras and 3D laser scanner modules to generate multiple two-dimensional image data and laser scanning data with depth information, extracts wheel laser center line data through a complex image processing algorithm, reconstructs the three-dimensional profile of the wheel with depth information, splices the three-dimensional information of the complete wheel, compares the local depth information, finds out the area with large depth change, finally detects the defects of the tread and the rim surface of the complete wheel, obtains the information such as the area, position and depth of the defect area, and dynamically generates a detection report for the customer to review and repair in time.

This provides a method for predicting acid-etched wall morphology based on a mathematical model. [Solution] The method involves using a 3D laser scanner and fluid finite element software to perform 3D modeling on the rock slab fracture surface, obtaining a fracture space model, and then, based on the fracture space model, coupling the pressure field and velocity field of the fracture space model to obtain a solution, thereby obtaining the fluid dynamics parameter distribution within the fracture, inputting this fluid dynamics parameter distribution into a constructed acid-rock reaction mathematical model, obtaining the erosion mass of each wall node, using the erosion mass of each wall node to obtain the erosion depth corresponding to the wall, and then, using the fracture space model, removing the influence of the erosion depth corresponding to the wall to obtain the wall morphology after acid etching, thereby completing the prediction of the acid-etched wall morphology.

This invention discloses a method for identifying and analyzing the structural surfaces of rock masses based on handheld laser scanning, belonging to the field of rock mass stability analysis. The method includes the following steps: S1, scanning the surface of the rock mass under test using a handheld 3D laser scanner to form a complete 3D triangular mesh surface model of the rock mass surface; S2, segmenting multiple candidate planar pieces; S3, grouping and iteratively merging the candidate planar pieces to obtain structural surface groups belonging to the same structural surface; S4, acquiring structured data files; S5, identifying key movable blocks under free-face conditions of the rock mass; S6, estimating the preliminary stability coefficients of the key movable blocks; S7, generating a numerical calculation model using the continuous-discontinuous element method containing explicit joint networks; S8, assigning mechanical parameters; S9, numerically solving the problem to obtain the stress, displacement, and potential failure mode analysis results of the rock mass; S10, dynamically updating. Using the above-mentioned method for identifying and analyzing the structural surfaces of rock masses based on handheld laser scanning, an integrated rock mass stability analysis system is constructed that balances engineering assessment efficiency and analytical accuracy while significantly reducing subjective errors.

A method performed by a three-dimensional (3D) laser scanner is provided. The method includes positioning the 3D laser scanner at a first position. First 3D data is acquired by rotating the 3D laser scanner at the first position. A characteristic of the environment is determined with a camera on the 3D laser scanner. At least one weighted parameter of a SLAM methodology is adjusted based on the characteristic. The 3D laser scanner is moved from the first position to a second position based on the SLAM methodology. A pose of the 3D laser scanner is tracked as the 3D laser scanner is moved from the first position to the second position. A second 3D data is acquired at the second position by rotating the 3D laser scanner at the second position. The second 3D data is registered with the first 3D data based on the tracking.

This utility model discloses an auxiliary disk for collecting measurement control points in metal mines, belonging to the field of metal mine measurement and scanning technology. It includes a base with measurement control point holes on the upper part and fixing holes and bolts on the lower part. This utility model aligns the handle of a handheld 3D laser scanner with the auxiliary disk, uses the fixing bolts to secure it to the handheld 3D laser scanner handle through the fixing holes on the lower part of the base, and aligns the measurement control point holes on the upper part of the base with the metal mine measurement control points. This enables the handheld 3D laser scanner to directly, quickly, and accurately collect the 3D coordinate data of the metal mine measurement control points.

The application relates to the technical field of engineering geology exploration, and discloses a 3D scanning core characteristic parameter identification system and method, which comprises a core storage module and a 3D scanning module; the method comprises the following steps: separating complete and fragmented cores by self-adaptive cleaning and separation of drilling core samples, forming a space-attribute binding initial data set; dynamically adjusting the height and levelness of a 3D laser scanner by an automatic numerical control platform, generating an optimal scanning path topology network covering all core boxes; the scanning path topology network feeds back point cloud coverage in real time, dynamically adjusts the rotation angle, and outputs a full-angle high-density core point cloud sequence; the full-angle high-density core point cloud sequence is fused by multi-scale features, and an automatic columnar chart, a quantitative parameter set and a joint parameter package are generated. Through automatic and high-precision scanning and data analysis, the application realizes digitalized collection of cores and accurate calculation of geological parameters, and improves the efficiency and quality of geological exploration.

A detection and marking integrated platform for workpiece cutting comprises a working platform, a pneumatic positioning clamp and a vertical baffle are arranged on the working platform, and a vacuum suction cup mechanical arm is installed on the vertical baffle. A multi-modal detection device is further arranged on the working platform, and the multi-modal detection device comprises a supporting column, a detection module and a multifunctional display screen; the vacuum chuck manipulator comprises a multi-axis mechanical arm and a vacuum chuck; and a three-color LED prompting lamp is further included. The pneumatic positioning clamp is arranged and used for fixing the workpiece, so that the workpiece is prevented from deviating in the detection process; a vacuum chuck manipulator capable of automatically turning over is arranged, so that the omnibearing detection of the workpiece is realized; the 3D laser scanner and the high-resolution industrial camera are used for carrying out multi-modal detection on cutting precision and surface burrs of a workpiece, errors caused by manual visual inspection are avoided, workpiece detection data are displayed on the multifunctional display screen, unqualified data are marked, and detection data reference is provided for subsequent reworking.

This invention discloses a method for assessing tunnel lining defects based on multi-source data and data-physical fusion experiments. The method includes front-end multi-source data acquisition, numerical analysis and prediction of defect development, and physical testing machine-based reconstruction and prediction of defect conditions. This invention acquires multi-source data on tunnel lining defects and structural degradation using a linear array camera, laser vibrometer, and 3D laser scanner. The acquired data is processed and analyzed, and the development tendency of the main defects controlling lining damage is predicted based on the TCI circle. A tunnel lining-defect model is constructed based on the original tunnel lining operating conditions and the acquired defect information. A dynamic-static load lining pressure testing machine is used to simulate tunnel surrounding rock pressure, seismic loads, and traffic loads. Pressure tests are conducted on the lining-defect model to verify the development tendency of the main defects. The physical experimental results can be mapped to the actual defect development situation in the engineering field, providing a reference for the safe operation and maintenance of tunnel linings and disaster prevention and control.

This invention discloses a method for installing electromechanical pipelines based on BIM and 3D laser-assisted installation. A BIM model is constructed based on the original civil engineering construction drawings to form a BIM of the building's civil engineering structure. A 3D laser scanner is then used to scan the civil engineering structure to obtain its calibration parameters. These parameters are used to adjust the original BIM model to match the actual condition of the completed civil engineering structure. Furthermore, based on the original pipeline installation drawings, pipeline installation is simulated in the optimized BIM model, simulating the installation process and effects. Based on the installation process and effects, the pipeline installation drawings are optimized to form optimized pipeline installation drawings. Pipeline installation is then performed based on these drawings, thereby assisting in the completion of electromechanical pipeline installation. This method can be adjusted according to the actual civil engineering structure, greatly improving project efficiency and reducing resource waste caused by rework.

This invention proposes an automated stacking control system for adjusting the rotation angle of containers, applied to gantry cranes. The system includes a first marker, a second marker, a third marker, a fourth marker, a first 3D laser scanner, a second 3D laser scanner, a first 2D laser scanner, a second 2D laser scanner, a programmable controller, and a data processing platform. The programmable controller is electrically connected to the first 3D laser scanner, the second 3D laser scanner, the first 2D laser scanner, and the second 2D laser scanner, and is also communicatively connected to the data processing platform. This invention further proposes an automated stacking control method for adjusting the rotation angle of containers, including: triggering a detection task; obtaining the deviation; deriving compensation parameters; and controlling the spreader to move left and right, rotate left and right, and move the trolley forward and backward according to the compensation parameters to eliminate the deviation. This invention improves the accuracy, safety, operational efficiency, and stacking neatness of the automated stacking control for adjusting the rotation angle of containers.

This application relates to the field of surveying equipment, specifically disclosing a portable 3D laser scanner, which includes a measuring mechanism and a housing. The housing has a mounting slot for placing the measuring mechanism, and the outer bottom wall of the housing has multiple supports and grooves for accommodating the supports. A base plate is fixedly mounted inside the housing, and a rotating disk is rotatably mounted on the base plate. Multiple guide grooves are formed on the rotating disk, and clamping columns are slidably mounted in the guide grooves. An upper clamping plate is fixedly connected to the clamping column. A support tray for supporting the measuring mechanism is raised and lowered on the rotating disk. A clamping mechanism is also provided on the rotating disk to drive the clamping columns along the guide grooves toward the center of the rotating disk as the support tray moves downwards, causing the upper clamping plate to clamp the measuring mechanism. This application offers good portability, and the 3D measuring instrument body is easy to assemble and disassemble, and exhibits high stability after installation.

This utility model relates to the field of 3D laser scanner technology, specifically a high-precision scanning head structure for a 3D laser scanner. It includes a handle with high-precision scanning ends at both ends. A stepper motor is fixed to one side of the handle near both ends, containing a lead screw body. The handle has a hollow area, with a connecting block at one end of the lead screw body and a connecting seat fixed to one end. A hinge seat is located at one end of the high-precision scanning end. Connecting plates one and two are located on either side of the hinge seat and the connecting seat. The high-precision scanning end and the handle are hinged together. This utility model solves the problem that in existing handheld 3D laser scanners, the high-precision scanning ends at both ends of the handle are generally fixed to the handle. During scanning, if the object being measured has obstructions, complete 3D data may not be obtained. Furthermore, scanning data may be inaccurate or incomplete for transparent, reflective, or light-absorbing surfaces, making it inconvenient to scan larger workpieces.

The utility model relates to the technical field of construction engineering design, and discloses construction engineering design space layout optimization equipment and a storage assembly, which comprise a movable base with four rollers mounted at the bottom, a storage box arranged at the top of the movable base, and a support ring fixed at the top of the storage box, the shielding assembly is arranged on the inner side of the supporting ring; the measuring assembly comprises a 3D laser scanner arranged in the storage box, a rotating base arranged at the bottom of the 3D laser scanner and a lifting assembly rotationally installed at the bottom of the rotating base. According to the construction engineering design space layout optimization equipment, the measurement assembly is stored through the storage assembly, the 3D laser scanner can be protected against collision, the 3D laser scanner is pushed out of the top of the storage assembly and can rotate, all-around data acquisition can be performed without moving the storage assembly, and the 3D laser scanner cannot be shielded.

1. Name of the product in this design: 3D Laser Scanner. 2. Purpose of this design: To perform 3D scanning and modeling of various site environments. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

The invention provides a test platform and method for gas adsorption expansion deformation of a coal body. The method comprises the following steps: 1, building the test platform for the gas adsorption expansion deformation of the coal body; 2, preparing a coal rock sample; 3, measuring by a three-dimensional laser scanner before the test; 4, performing a coal gas adsorption expansion test; 5, measuring in and after the test; and 6, processing and analyzing data. According to the invention, the coal rock sample is subjected to gas adsorption expansion, the coal rock sample before, during and after the test is scanned by using a mobile three-dimensional laser scanner, dense point clouds are generated, and a three-dimensional model is constructed, so that a continuous expansion deformation process of a coal body from an initial state to an adsorption saturation state is obtained; the influence of gas adsorption on the coal body is intuitively researched through continuous change of the three-dimensional model, and great influence of gas on physical properties of the coal body can be prevented, so that the safety problem in coal mining is solved, and meanwhile, the mining efficiency is improved.

This invention discloses a furniture spraying process control method, system, and device, belonging to the field of intelligent manufacturing technology. The method comprises four deeply coupled core steps: multi-source visual fusion modeling, adaptive trajectory dynamic planning, real-time quality monitoring and feedback, and multi-station collaborative optimization. It constructs a high-precision 3D model and extracts surface features through multi-source data fusion from a 3D laser scanner and a depth camera; generates spraying trajectories based on hierarchical surface features using an adaptive algorithm, and dynamically adjusts spraying parameters according to environmental parameters; extracts coating quality features in real time using a deep learning network, triggering closed-loop feedback control when quality deviations are detected; and establishes a multi-station global scheduling model to maximize production efficiency. This invention solves problems such as inaccurate shape recognition, lagging quality monitoring, and insufficient parameter adjustment capabilities in existing technologies, significantly improving spraying quality uniformity, production efficiency, and system intelligence.

This invention discloses a method and system for monitoring tunnel leakage based on laser scanning and Brillouin sensing. The method includes using a 3D laser scanner to acquire spatial geometric point cloud data and reflection intensity data of the tunnel inner wall, and identifying and classifying risk areas; converting the identification and classification results into an executable sensor network deployment scheme; physically implementing the sensing optical fiber based on the sensor network deployment scheme, wherein the sensing optical fiber adopts a double-layer encapsulation structure, with the inner layer being a communication-grade tight-buffered optical fiber and the outer layer being water-swellable rubber; using the deployed sensing optical fiber, continuous sensing and location of leakage events are performed based on Brillouin optical time-domain analysis technology; mapping the fiber positioning data to a 3D tunnel model, and performing 3D mapping of abnormal events, finally displaying the location of leakage points and risk zones in the 3D tunnel model. This invention forms an integrated solution of "early identification—precise deployment—real-time monitoring—visualized backtracking".

This invention provides a fully automated laser scanning detection system and method for tunnels and chambers, belonging to the field of underground space exploration technology. The system includes: a drone, a multi-sensor fusion positioning module, a 3D laser scanner, an adaptive environmental perception and obstacle avoidance module, and a ground control station. The multi-sensor fusion positioning module provides high-precision pose information in environments without GPS signals; the 3D laser scanner collects laser point cloud data of the tunnels and chambers; and the adaptive environmental perception and obstacle avoidance module senses changes in dust and illumination in real time and plans a safe flight path. This invention effectively overcomes the challenges of complex environments such as GPS rejection, uneven illumination, and dust interference within tunnels through multi-source data fusion and adaptive algorithms. It achieves fully automated, high-precision, and high-efficiency 3D topographic detection in areas inaccessible to personnel, providing a reliable technical means for monitoring surrounding rock deformation and assessing risks in goaf areas.

This invention provides a method for precise positioning and installation of tunnel arch frames. First, the tunnel outline data is scanned, then the signal source is calibrated; the relative positions of the signal sources of each arch frame lifting device on the trolley are measured; then the arch frame lifting devices are positioned; then the designed installation height of the arch frame at each lifting point is determined; the relative height difference between the top of each arch frame lifting device and the laser rangefinder is calculated, the initial relative height of each lifting device to the laser rangefinder is calculated, the vertical travel distance of each lifting device is calculated, and the lifting speed of other lifting devices is corrected; then each arch frame segment is lifted to the set elevation; structural components are erected, and the installation of the steel arch frame is completed. This invention comprehensively utilizes a 3D laser scanner, a laser rangefinder, and lifting equipment to achieve precise automatic positioning of the circumferential segments and height of the arch frame, as well as the perpendicularity of the overall circumferential arch frame to the tunnel axis, thus improving the construction quality of the shotcrete and anchor support structure.

The invention discloses a method and a system for measuring light guide teeth of a car lamp silica gel lens sub-assembly. The method comprises the following steps: S1, acquiring three-dimensional data of the car lamp silica gel lens sub-assembly through a 3D laser scanner; s2, carrying out ROI region segmentation on the three-dimensional data of the vehicle lamp silica gel lens sub-assembly to obtain ROI region point cloud data including light guide teeth and a reference surface; s3, performing reference surface fitting on the obtained ROI point cloud data to obtain a mathematical model of a reference surface; s4, correcting the positions of the light guide teeth; and S5, calculating the relative height from the light guide teeth to the reference surface to obtain the extension height of the light guide teeth. The invention provides a method and a system for measuring light guide teeth of a car lamp silica gel lens sub-assembly, which can efficiently and accurately detect the extension height of the light guide teeth of a silica gel lens and ensure the optical performance and quality of a car lamp lens.

This invention discloses a method and system for establishing a mapping relationship between a rotating linear array camera and a ground-based lidar. The establishment process includes two steps: First, it proposes a geometric mapping relationship between the rotating linear array camera and the 3D lidar, analyzing the attitude and position errors between the camera and the lidar during the camera's rotation, while also considering the impact of camera distortion on the mapping results. Second, a hybrid optimization algorithm further optimizes the data mapping relationship. Utilizing the texture similarity between the point cloud intensity map and the grayscale image of the initially mapped point cloud, the hybrid optimization algorithm evaluates and optimizes their similarity, improving the fusion accuracy of the point cloud and the image. This invention establishes a data mapping relationship between a rotating linear array camera and a 3D laser scanner in two steps, writes the mapping relationship into the equipment development configuration file, achieves single-station data fusion, and obtains a color point cloud.

This invention discloses a metrological calibration device and method for a dynamic underwater 3D laser scanner. The metrological calibration device includes: a trapezoidal support platform placed at the bottom of a test pool, the trapezoidal support platform having a first plane, a second plane, and a third plane with progressively increasing heights, laser stickers affixed at predetermined positions on each plane, and a reference laser sticker affixed to the center position of the third plane; a travel track laid above the two long side walls of the test pool; and a calibration trolley configured on the travel track, the calibration trolley being equipped with a lifting rod marked with scale graduations, and the dynamic underwater 3D laser scanner mounted on the lifting rod.

The application discloses a kind of weld defect phased array detection fusion methods, belong to nondestructive testing technical field.Specifically including the following steps: S1, by 3D laser scanner to the current weld is continuously scanned and obtains about the 3D point cloud data of weld, by industrial camera to the surface of weld is scanned and obtains about the surface image data of weld, the surface image data of weld 3D point cloud data is multimodal data fusion and obtains about the first fusion data model of weld, the first fusion data model is divided into multiple regions;S2, by the first fusion data model and weld parameter and weld historical record data are matched, according to the matching result determination current weld each region exists defect possibility planning scanning strategy.The automatic detection process reduces manual participation, especially suitable for high altitude, low temperature or dangerous working condition under weld detection, reduce personnel safety risk, make up the deficiency that traditional phased array detection lacks surface geometry measurement ability.