670 results about "Light scanning" patented technology

The invention discloses an online monitoring method and system for the light transmittance of an optical lens, and relates to the technical field of precise optical detection. The objective of the invention is to solve the problem of large light transmittance calculation error caused by halo scattering noise interference, low optical path calibration precision of a complex curved lens, a measurement blind area of a large-aperture lens and environmental disturbance of a high-reflection / high-light-transmittance lens in the prior art. According to the scheme, a three-dimensional curved surface model is constructed based on Gray code structured light projection and ICP registration, a dynamic partition scanning instruction set is generated through an improved genetic algorithm, and multi-wavelength polarized light is driven to scan and collect multi-dimensional data; specular reflection and scattering noise are suppressed by combining an improved Stokes vector algorithm and an attention mechanism U-Net network, and the data precision of the complex curved surface is improved by adopting Bayesian optimization and Zernike polynomial weighted fusion; constructing a double-loop coupling optimization architecture to realize closed-loop adaptive optimization; according to the invention, the anti-interference capability, the complex lens adaptability and the full-aperture detection precision are obviously improved.

The invention belongs to the technical field of three-dimensional imaging and measurement, and particularly discloses a laser scanning three-dimensional imaging method and device, a medium and equipment, and the method comprises the steps: obtaining laser scanning data of a target object, and the laser scanning data comprises depth data including reflection intensity, a scanning angle, a timestamp and flight time; preprocessing the laser scanning data, and fusing a time sequence and scanning path information to obtain multi-channel input features adaptive to a neural network; constructing a three-dimensional geometric reconstruction model, and training the model; inputting the multi-channel input features into a trained three-dimensional geometric reconstruction model to obtain a dual-channel output tensor containing a dense depth map of the target object and a corresponding uncertainty map; converting the dual-channel output tensor comprising the dense depth map of the target object and the corresponding uncertainty map into a three-dimensional point cloud under world coordinates; and post-processing the three-dimensional point cloud to obtain a three-dimensional image of the target object.

The invention provides a tunnel rock mass dynamic disaster monitoring system based on digital twinning, and relates to the technical field of tunnel rock mass dynamic disaster monitoring based on digital twinning. By integrating a multi-mode sensing network, the system comprises a self-adaptive infrared structured light scanner, a distributed micro-seismic sensing array and a fiber grating strain sensor; comprehensive and real-time monitoring of the rock mass state is realized; meanwhile, an intelligent analysis algorithm based on deep learning is introduced, abnormal conditions are automatically recognized, a rockburst risk comprehensive index is generated, in addition, a physical entity and a virtual model are combined through a dynamic digital twinborn modeling technology, and visual analysis of rock mass state changes is achieved; and finally, an edge-cloud cooperative communication technology is adopted to ensure low delay and reliability of data transmission and ensure that the monitoring system can quickly respond and timely take emergency measures.

The invention relates to the technical field of high-end equipment manufacturing, and provides circuit board vertical left and right exchange frame digital exposure LDI equipment and an exposure system. The exposure assembly is arranged on the supporting seat and is used for exposing a workpiece; the first frame part is vertically arranged on the supporting seat, and is used for mounting a workpiece and enabling the workpiece to be vertical; the second frame part is vertically arranged on the supporting seat, and is used for mounting a workpiece and enabling the workpiece to be vertical; the driving assembly is used for driving the first frame part and the second frame part to move in the exposure scanning direction; and / or driving the exposure assembly to move in the exposure scanning direction. The workpiece is placed in the through hole in the vertical frame part, so that the workpiece and the frame part are both vertical, the workpiece does not need to be horizontally placed, the problems that ink on the workpiece is sucked out due to vacuumizing, and the exposure effect is poor are solved, the first frame part and the second frame part can be alternately exposed, and the exposure efficiency is improved.

The invention discloses a plastic effect simulation display method and system based on a 3D simulation technology, and relates to the technical field of medical information, and the method comprises the steps: collecting the facial data of a patient, and constructing a multi-level facial structure initial model; constructing a hybrid deformation model; individual characteristic parameters of a patient are extracted, and an individual biomechanical parameter set is generated through the biomechanical parameter prediction network; applying the personalized biomechanical parameter set to the mixed deformation model; operation input parameters of plastic surgery are received, and the deformation result of each layer of structure is calculated and displayed in real time based on a GPU parallel computing framework; constructing a tissue healing and recovery kinetic model, and generating appearance prediction data at different postoperative time points in combination with the deformation result; and performing three-dimensional visualization processing on the appearance prediction data. According to the method, CT / MRI, 3D structured light scanning and expression dynamic video sequences are creatively integrated, the limitation of traditional single-mode data modeling is broken through, and the soft tissue boundary recognition precision is remarkably improved.

The invention provides a Gaussian modeling method combined with laser scanning point cloud data processing, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: carrying out the registration of a plurality of point cloud data sets through employing a point cloud fusion algorithm, and obtaining a target point cloud data set; performing data precision, position deviation and noise influence analysis on the plurality of point cloud data sets, determining point cloud data precision, a position deviation coefficient and a noise influence coefficient, and comprehensively evaluating and determining point cloud acquisition precision; setting a data dimension reduction proportion according to the point cloud acquisition precision, and performing covariance matrix dimension reduction on the target point cloud data set; and selecting a predetermined kernel function, performing data fitting and Gaussian process regression modeling on the dimension reduction point cloud data set, and outputting a surface fitting model. According to the method, the technical problems that the requirements for storage and computing resources are too high and efficient three-dimensional modeling cannot be realized due to the fact that a large number of covariance matrixes need to be calculated in a traditional Gaussian modeling method can be solved; the dimensionality of data can be effectively reduced, and the efficiency of three-dimensional modeling is remarkably improved.

The invention provides a self-adaptive teaching-free welding robot intelligent gas saving monitoring system, which relates to the technical field of industrial robots, and comprises a three-dimensional sensing module used for identifying the workpiece material category through a multispectral sensor integrated with a welding gun of a welding robot, meanwhile, a stereoscopic vision camera and a line structure light scanning camera are used for obtaining three-dimensional point cloud data of the welding seam in real time; the parameter adjusting module is used for calling a heat conductivity coefficient database based on the three-dimensional point cloud data, and correcting the initial flow of the welding current, the arc voltage and the protective gas in real time; and the matching control module is used for calculating the arc length variable quantity based on the arc voltage, controlling the opening degree of the gas flow valve through a dynamic regulator, realizing dynamic matching of the gas flow and the changed arc length, and generating gas dynamic matching control parameters. Through cooperative operation of self-adaptive attitude compensation and real-time gas consumption monitoring, teaching-free accurate operation in the welding process is achieved, and intelligent control over gas consumption is improved.

The invention discloses a wide-range weak feature scene measurement system based on multi-sensor fusion and structured light scanning, and relates to the technical field of wide-range scene scanning, in the system, an extended Kalman filtering algorithm is adopted, fusion is carried out based on positioning data provided by an inertial measurement module and a positioning sensing module, and a wide-range weak feature scene is obtained. And the distance measurement information provided by the laser distance measurement module is combined to correct the fused positioning data, so that the precision and robustness of subsequent point cloud registration are ensured. Then, according to position information and attitude information of the binocular structured light scanning camera during scene scanning, calculating a relative rotation matrix and a relative displacement matrix of each frame of scanning point cloud data relative to the first frame of scanning point cloud data, and performing coarse registration; in the coarse registration process, all frames of point clouds can be converted into a unified coordinate system by directly utilizing global pose information, and the efficiency of coarse registration is greatly improved. And finally, extracting laser marking point clouds projected by the non-contact laser marking device in each frame of scanning point cloud data, and performing iterative precise registration on each frame of scanning point cloud data by using color features and geometric distribution rules of the extracted laser marking point clouds. In conclusion, high-precision, high-efficiency and high-robustness point cloud registration in a large-scale weak feature scene is realized, and the method can be used for realizing high-precision non-contact measurement.

The present invention relates to an adaptive manufacturing method for building components, particularly in prefabrication, modular construction, and panelized construction. The invention minimizes cumulative errors in building component production, enhances precision, and facilitates automated assembly using real-time digital updates. The method includes creating a digital information model of a building, containing data on the dimensions and positions of building components; manufacturing at least one building component based on initial model parameters; scanning the manufactured component using laser scanning, structured light scanning, or ultrasound-based scanning, selected based on the material properties, to generate a digital representation of its actual dimensions and shape; updating the digital model with the scanned data to dynamically adjust parameters for subsequent components; recalculating and adjusting the parameters of unmanufactured components based on detected deviations; transmitting adjusted parameters to an automated manufacturing system for real-time modifications in production. The system comprises a processor executing adaptive manufacturing instructions, a scanning module, a processing unit, and a recalculation module that updates component dimensions based on deviations, ensuring seamless integration of prefabricated elements.

The invention discloses a carbon fiber composite material surface modification spraying system and a control method thereof. The system comprises a multi-axis robot, a plasma spray gun, a contact angle measuring probe, a 3D line laser scanner, a hyperspectral imager, an environment sensor and a controller. According to the method, the plasma power and the robot speed are adjusted in real time through contact angle measurement and plasma treatment feedback control, so that the CFRP surface can accurately reach a target value, and the coating adhesive force is improved; 3D line laser scanning and hyperspectral imaging are combined, and the posture, the distance, the wet film thickness and the component uniformity of the spray gun are monitored in real time; based on a prediction model fusing a physical model and a neural network, a self-adaptive fuzzy PID control algorithm is adopted, and the coating flow and the track posture of a spray gun are accurately regulated and controlled in real time. The problems of weak coating binding force, uneven thickness, orange peel, sagging and serious coating waste in traditional spraying are effectively solved, and self-adaptive, high-quality and green spraying of workpieces with complex curved surfaces is achieved.

The invention relates to the field of unmanned aerial vehicle surveying and mapping and building three-dimensional modeling, and discloses a high-rise building three-dimensional modeling surveying and mapping method based on unmanned aerial vehicle laser scanning, and the method comprises the following steps: deploying a laser radar, a millimeter wave radar, a polarized light camera and an intelligent blind area supplement unmanned aerial vehicle for cooperative scanning, and generating an optimal path through topological manifold learning; multi-source point cloud high-precision registration is achieved through geometric algebra and Lie group optimization, multi-sensor heterogeneous data are fused in combination with tensor decomposition, blind area dynamic adjustment paths are detected in real time, and finally a complete three-dimensional building model is generated. According to the method, the modeling precision and data integrity of a complex building structure (such as a glass curtain wall) can be remarkably improved, the problems of scanning blind areas and equipment single-point failure are effectively avoided, and an efficient and robust solution is provided for high-rise building three-dimensional modeling.

The invention relates to the technical field of environment evaluation, and discloses a multi-dimensional environment comprehensive evaluation method and system, and the method comprises the steps: carrying out the comprehensive image shooting of an environment through an unmanned plane carrying device, constructing an environment real scene model through combining laser scanning point cloud data and an algorithm, and providing a precise reference for the layout of a sensor. The method comprises the following steps: selecting proper sensors according to requirements and arranging the sensors; ensuring comprehensive coverage; setting an evaluation period; collecting environmental parameter values, constructing Bayesian network fusion data to obtain parameter evaluation values, calculating actual comprehensive evaluation values by combining subjective weights and objective weights, reflecting environmental conditions, and collecting historical data. And constructing an ARI MA model to predict an environmental parameter evaluation value in the next evaluation period, evaluating the prediction precision, if the precision is low, generating a prediction deviation signal, collecting data in real time in the evaluation period, constructing a complex time sequence, training a CNN-LSTM model for prediction, obtaining a prediction comprehensive evaluation value, and performing comprehensive evaluation on an environmental evaluation area.

The invention discloses a frozen soil roadbed hot melt settlement laser scanning measurement method and system, and relates to the technical field of measurement, the method comprises the following steps: obtaining gridding surface data, and obtaining an elevation data sequence of each grid point; acquiring an elevation change index of each grid point according to the elevation data sequence of each grid point; acquiring a plurality of grid points adjacent to the ith grid point and taking the plurality of grid points as a plurality of reference grid points of the ith grid point, acquiring each relative difference quantity of the ith grid point, and acquiring a correction proportion of the ith grid point according to the plurality of relative difference quantities of the ith grid point; and obtaining target elevation data of each grid point according to the correction proportion of each grid point and the measured elevation data at the current moment, and forming a measurement result including the gridding surface data according to the target elevation data of each grid point. The method has the advantages of identifying abnormal values, dynamically correcting measurement and improving data reliability.

The invention discloses a miniature microwave electric field intensity measurement method based on Rydberg atoms, and belongs to the field of microwave electric field measurement. The implementation method comprises the following steps: scanning through an alkali metal atom gas chamber by using first probe light, scanning through the alkali metal atom gas chamber by using first coupling light, radiating a microwave electric field to be detected to the alkali metal atom gas chamber, obtaining an EIT-AT split spectrum, and obtaining the microwave electric field to be detected; if the EIT-AT splitting spacing is not available, a local oscillation microwave electric field can be radiated to the alkali metal atom gas chamber at the same time, a microwave electric field to be measured is obtained through an atom superheterodyne method, and rapid measurement of the intensity of the miniaturized microwave electric field based on Rydberg atoms is achieved. The device for realizing the method comprises a first laser, a first dichroscope, an alkali metal atom gas chamber, a second laser, a second dichroscope, a photoelectric detector, a first standard gain horn antenna and a second standard gain horn antenna. Frequency locking does not need to be carried out on detection light and coupling light, light path devices can be reduced, and the application range is wide.

The invention discloses a film strength detection method and related equipment, and the method comprises the steps: carrying out the multi-angle broadband scanning sampling of the whole process of an incident light beam penetrating through a lens, recording the transmission light intensity, group phase and scattering power, and generating a reference transmission spectrum matrix; applying low-amplitude periodic ultrasonic vibration disturbance to the lens according to the reference matrix, synchronously obtaining a transmission spectrum time change curve, and performing time domain analysis to obtain a stress response characteristic matrix; determining a detection path by integrating the two matrixes, performing incremental load scratch disturbance along the path, recording data of transmission light intensity and scattering power changing along with the load in real time, and forming a critical damage response data set; performing fine grid transmission light scanning on the scratch and the neighborhood, acquiring multi-angle scattering distribution, and constructing optical characteristic distribution data; and performing multi-dimensional analysis on the data, and outputting a result. According to the scheme, early-stage accurate identification and evaluation of microcracks in a lens film layer and interface hidden defects are realized, and the use reliability of the lens is improved.

The invention discloses a device and a method for promoting methanation of carbon dioxide through temperature oscillation induced by laser scanning. The device comprises a reactor, a laser and a galvanometer, a transparent cover plate is arranged at the top of the reactor, an air outlet is formed in the side surface, and an objective table is arranged in the reactor; a catalyst layer is arranged above the objective table; the catalyst layer is provided with a longitudinally-penetrating gas leading-in hole, a gas flow channel is arranged in the objective table, one end of the gas flow channel is communicated with the gas leading-in hole, and the other end of the gas flow channel is communicated with the gas inlet. Introducing mixed gas containing hydrogen and carbon dioxide into a gas inlet of the reactor, changing the irradiation position of a laser beam emitted by a laser through a galvanometer, and enabling the laser beam to periodically scan and irradiate the catalyst layer to obtain methane. The surface temperature distribution of the catalyst is dynamically regulated and controlled through laser scanning, so that the temperature of a catalytic active site is continuously switched between a high temperature and a low temperature, the thermodynamic limitation of a carbon dioxide methanation reaction can be effectively reduced, and an efficient and stable carbon dioxide methanation process is realized.

The invention discloses a tempered glass cutting method based on two-step laser scanning, belongs to the technical field of tempered glass cutting, meets the high-precision cutting requirement of whole-plate tempered glass, and is particularly suitable for high-value recycling and recycling of the whole-plate tempered glass in a retired photovoltaic module. Comprising the following steps: presetting a cutting path and placing glass to suspend a scanning area; a two-step laser scanning process is adopted, a defocused or focused laser beam is adopted for scanning along a cutting path to form an initial modified area in the first scanning process, a focused or defocused laser beam is adopted for scanning in the second scanning process, and glass separation is achieved by inducing crack expansion through thermal stress; thermal stress distribution is optimized by combining out-of-focus adjustment and temperature control, and glass separation is realized by inducing crack propagation through thermal stress. The method solves the problems of high breakage rate, path deviation, poor edge quality and the like of traditional cutting, is compatible with tempered glass with different stress strengths (0-600 MPa) and thicknesses (0.7-5 mm), and remarkably improves the recycling rate.

The invention relates to the technical field of laser micropore processing, and discloses a device for processing a blade film hole by femtosecond laser, which sequentially comprises an infrared femtosecond laser for emitting laser, a blade hole forming device for guiding light and processing laser beams and a blade fixing device for fixing a blade to be processed along a beam transmission path, the blade hole forming device comprises a laser incidence port, a compact scanning galvanometer system for adjusting a laser scanning path, a rotating assembly capable of rotating around an optical axis and used for adjusting the emitting angle of a laser beam, a focusing system for adjusting laser focusing, a light guide assembly for adjusting light beam incidence and a light guide reflection assembly. The lower end of the scanning galvanometer system is connected with the upper end of the rotating assembly, the upper end of the focusing system is connected with the lower end of the rotating assembly, the lower end of the focusing system is connected with the upper end of the light guide assembly, and the lower end of the light guide assembly is connected with the light guide reflection assembly. And the infrared femtosecond laser, the compact scanning galvanometer system and the focusing system are all controlled by the control system. According to the system, blade film hole machining in a complex track can be achieved.

The invention relates to the technical field of three-dimensional analysis, in particular to an oral cavity three-dimensional motion analysis system based on dynamic occlusion scanning. The system comprises an oral cavity occlusion feature extraction module, a dynamic occlusion reconstruction module, an occlusion track smoothing module and an oral cavity motion abnormity identification module, and a multi-view structured light scanner can be used for carrying out image scanning on the oral cavity in the dynamic occlusion process so as to obtain a multi-frame original occlusion image sequence; occlusal feature extraction and three-dimensional occlusal reconstruction are carried out on the multiple frames of original occlusal image sequences to construct corresponding three-dimensional occlusal model sequences; a dynamic occlusion trajectory prediction model is constructed based on the three-dimensional occlusion model sequence, oral cavity three-dimensional motion analysis and occlusion trajectory smoothing filtering processing are carried out, and a smooth three-dimensional occlusion motion trajectory is generated; and performing oral cavity motion abnormity identification according to the smooth three-dimensional occlusion motion track so as to generate an oral cavity occlusion three-dimensional motion abnormity identification result. According to the invention, accurate capture and analysis of three-dimensional motion of the oral cavity can be realized.

The invention provides Fourier transform spectrum equipment based on phase regulation and control and a spectrum detection method, and relates to the technical field of spectrum measurement. The Fourier transform spectrum equipment comprises a light source module used for providing detection light; the spectroscope is used for splitting the detection light into first scanning light and first reference light; the scanning module is used for introducing phase delay linearly related to the light frequency into the first scanning light to obtain second scanning light, and providing the second scanning light for the sample through the spectroscope; the reference module is used for reflecting the first reference light to obtain second reference light and providing the second reference light for the sample through the spectroscope; the photoelectric detector is used for receiving the second scanning light acted on the sample and the second reference light acted on the sample to obtain a first interference pattern; and the processing module is used for processing the first interference spectrum to obtain a spectrum detection result of the sample.

The invention discloses a roundness deviation control method and system for bending a U-shaped pipe of a heat exchanger, and relates to the related field of size and shape measurement, and the method comprises the steps: determining a pipe blank of the U-shaped pipe and a bending target, and inputting the pipe blank and the bending target into a control center for analysis; controlling a pipe bending machine to perform bending control on a first side bending arm of the U-shaped pipe according to the first bending parameter, and starting laser scanning equipment to perform 360-degree scanning along the section of the pipe; performing camber detection on each section based on the continuous scanning data sequence, performing camber deviation prediction and correction, and generating a first real-time correction parameter; and the bending control is continued, after the first control is completed, the opposite-side influence verification of the second-side bending arm is executed according to the opposite-side mutual influence information, and after the opposite-side influence verification passes, the bending deviation prediction and correction of the second-side bending arm are carried out according to the second-time bending parameters. The technical problem that in existing roundness deviation control, the roundness deviation is difficult to effectively control, and consequently the bending quality is unstable is solved, and the technical effects that the roundness deviation is effectively controlled, and the bending quality is improved are achieved.

The invention discloses a laser scanning system, and belongs to the technical field of laser signal processing. The system comprises a laser emission and control module, a scanning device, a receiving device, a signal processing module and a self-adaptive learning module. And the signal processing module extracts the instantaneous frequency of the beat signal through Fourier transform and Hilbert transform, and dynamically adjusts the input voltage based on an iterative algorithm optimized by the adaptive learning module to realize linearization correction of the beat signal frequency and a nonlinear mapping linearization interpolation scheme. The adaptive learning module stores historical correction data, dynamically optimizes parameters such as step length and convergence conditions of an iterative algorithm by using a machine learning method, and improves the adaptability and correction precision of the system in a complex environment. According to the method, full-closed-loop intelligent control from signal acquisition and processing to parameter optimization is realized, and the method has the characteristics of high precision, strong robustness and low manual intervention, and is suitable for the fields of laser radar, three-dimensional scanning, precise distance measurement and the like.

The invention provides a roadbed slope collapse early warning method and system based on linear structured light scanning, and is suitable for the technical field of slope safety monitoring. The method comprises the steps of unmanned aerial vehicle-scanning equipment cooperative deployment, fixed path automatic scanning, original point cloud data space registration, data feature matching and early warning response. The unmanned aerial vehicle carries line structure light scanning equipment, fixed path automatic scanning and real-time single-frame image three-dimensional reconstruction are combined, space-time continuous point cloud data of the roadbed slope are obtained, efficient dynamic monitoring of large-range slope surface deformation is achieved, and the problems that traditional manual inspection is low in efficiency and insufficient in coverage are solved; through the space-time synchronization registration and abnormal point intelligent identification technology, real slump displacement and environment interference are effectively distinguished by utilizing displacement direction analysis and threshold screening, the false alarm rate is greatly reduced, and the anti-interference capability in a complex scene is enhanced; the slope sudden change characteristics of slope crest displacement are matched through regularized piecewise linear modeling, so that the early warning response time is advanced.

A method is disclosed for providing a component. During this method, braze powder is additively deposited with a substrate. The braze powder is sintered together during the depositing of the braze powder to provide the substrate with sintered braze material. The sintered braze material is heated to melt the sintered braze material and to diffusion bond the sintered braze material to the substrate to provide braze filler material. A first object is scanned using structured light to provide first object scan data. The first object includes the substrate and the braze filler material diffusion bonded to the substrate. The first object scan data is compared to first object reference data to provide machining data. The first object is machined using the machining data to provide a second object.

The invention discloses an industrial visual inspection method based on edge light scanning, which comprises the following steps of: initializing projector parameter setting, adjusting shooting frequency and exposure time of an industrial camera, acquiring defect images and forming an image sequence according to the size and the material of a detected piece and an expected defect type to be detected and based on an edge light scanning method; carrying out fusion operation on the image sequence, enhancing defect signals of the images through a weighted stacking algorithm by utilizing high-contrast characteristics of defect areas in multiple frames of images, and carrying out defect positioning and classification on the enhanced images by adopting an image segmentation technology, so as to realize visual detection on defects of the detected piece; by optimizing the design of an optical imaging system, edge light scanning of the quartz wafer is realized, defects are highlighted, surface defects can be quickly and accurately identified, the detection efficiency is greatly improved, defect characteristics are directly enhanced in an image acquisition stage, and quick and accurate defect detection is realized in combination with a sequence image analysis technology.

The invention discloses an online visual inspection device and method. Comprising the following steps: scanning a coil mold by using a surface structured light scanning camera, and identifying an initial point location; winding is carried out according to a coil winding technology, first scanning data in the winding process are obtained, and after winding of a first part of the coil is completed, the mold is turned; re-identifying the initial point position by adopting a surface structured light scanning camera, and winding the rest coil according to a coil winding process to obtain second scanning data; and according to the initial point location, the first scanning data and the second scanning data, calculating the coil width, segment spacing and long and short axes of each segment and each layer of coil to obtain a detection result. The measurement result of each section and each layer of wound coil can be obtained through on-line visual detection of the high-voltage coil, the structure is simple, the cost is low, detection is accurate, and full-automatic work is achieved.

A three-dimensional displacement measuring system for a railway platform comprises a laser, an angle sensor, a high-magnification camera and an LED (light-emitting diode) illuminating lamp which are respectively arranged on a fixed upright post, the target is adhered to the edge of the platform to form a measurement reference surface, and the horizontal distance between the stand column and the target is a preset value; the system establishes a virtual zero point and defines a space rectangular coordinate system XYZ, the X axis is in the longitudinal direction of the platform, the Y axis is perpendicular to the edge of the platform, and the Z axis is vertically upward. The invention provides a non-contact, high-precision and low-power-consumption railway platform three-dimensional displacement measurement method, which comprises the following steps of: performing periodic laser scanning and image acquisition on a target adhered to the edge of a platform by utilizing a vision measurement system formed by double lasers and a high-magnification camera and combining feedback information of an angle sensor; and the relative displacement of the X axis, the Y axis and the Z axis in the space is inversely calculated through a geometric model. The method can automatically complete the whole-process operation of zero calibration, photographing, identification, calculation, storage and the like, and meets the actual requirements of long-term structure monitoring of the railway platform.

A radar system and a radar ranging method. The radar system comprises: a light emission assembly (100), which successively emits a plurality of groups of emitted light; a receiving end assembly (200), which receives reflected light after the emission light is reflected by a target object and converts the reflected light into a received electrical signal; a light scanning member (300); and a processor (600), which determines the distance to the target object according to the received electrical signal, and adjusts control parameters related to the received electrical signal and a detection field-of-view angle, such that the control parameters change according to a first preset rule starting from an emission start moment; or the detection field-of-view angle changes according to a second preset rule starting from the emission start moment.

The invention provides a handheld laser scanning testing fixture for motorcycle parts, and belongs to the technical field of motorcycle inspection, and the handheld laser scanning testing fixture comprises a main shell member, a lifting assembly, a turnover assembly, an annular moving assembly, a laser scanning module, a stable connecting rod member, a buckle member and an infrared module, the opening end of the lifting frame is rotationally connected with a turnover frame capable of automatically rotating, the annular moving assembly can automatically move along the main body of the lifting frame or the turnover frame as a path, and laser scanning modules symmetrically distributed at the bottom in the housing can be driven to rotate in a reciprocating mode within a certain range while the annular moving assembly automatically moves. The small parts located in the range of the circular ring formed by the lifting frame and the overturning frame are automatically scanned; and after the annular moving assembly is overturned upwards to a certain angle along with the overturning frame, large parts can be scanned in cooperation with advancing movement of an operator, and the stability and operation convenience can be improved through a stable connecting rod component, a buckle component and an infrared module.

A panoramic scanning coal fire detection and disaster early-warning, prevention and control apparatus for a mining area, the apparatus comprising a detection apparatus, a laser scanning apparatus, a satellite remote-sensing monitoring apparatus, a data processing and analysis system, and an early-warning, prevention and control apparatus. High-precision thermistor temperature sensors (1) are arranged inside, on the surface and in surrounding areas of coal piles, such that subtle changes in the temperature of the coal piles can be accurately captured, and early-stage potential coal fire hazards can be effectively detected; gas sensors (2) installed at vents of a mining area can simultaneously measure the concentrations of gases such as carbon monoxide, carbon dioxide, methane and sulfur dioxide, so as to promptly identify anomalies in gas composition that are caused by coal fire combustion; an infrared thermal imager (3), which is located at a high position to acquire a panoramic view of the mining area, can clearly display high-temperature regions; and cameras (4) provide high-definition, wide-angle and low-illumination visual monitoring, and various sensors comprehensively collect data from different dimensions, thereby greatly improving the accuracy and comprehensiveness of monitoring.