279 results about "Surface scanning" patented technology

The invention relates to the technical field of optical detection, in particular to an automatic optical detection method and system based on gasket surface defects. The method comprises the following steps: carrying out parameter extraction on a to-be-detected gasket, obtaining inner and outer diameters, thickness and tolerance range information of the gasket, and obtaining gasket structure parameter data; matching, calibrating and storing the gasket structure parameter data according to a preset element parameter library to obtain a gasket element parameter library; performing surface scanning on the to-be-detected gasket by using a visual sensor to generate original image data; performing multi-channel optical imaging processing on the original image data, and performing illumination unevenness compensation by using a high dynamic range technology to obtain enhanced surface image data; and carrying out image preprocessing on the enhanced surface image data to obtain gasket surface detection image data. According to the method, the multi-channel optical imaging and advanced image processing technologies are adopted, the self-adaptive algorithm is combined, tiny defects can be accurately recognized, and the false detection rate and the omission ratio are remarkably reduced.

The invention discloses a dynamic control method for a complex curved surface five-axis numerical control machining tool vector, which comprises the following steps of: scanning the surface of a target workpiece by using a high-precision three-dimensional scanner to obtain point cloud data; based on the point cloud data, establishing a mathematical model S (u, v) of the target complex curved surface; a mathematical model based on the target complex curved surface; establishing a comprehensive dynamic model of the five-axis numerical control system; optimizing the initial tool posture in combination with the kinetic model; collecting dynamic operation data of the cutter and the workpiece; on the basis of the dynamic operation data, a model predictive control (MPC) algorithm is used for adjusting the machining path and the cutter direction in real time; according to the method, a comprehensive dynamic model of a five-axis numerical control system is established, dynamic coupling effects of a machine tool kinematic chain, cutter flexibility, cutting force, a temperature field and a stress field are brought into a unified framework, and complex dynamic behaviors are accurately described and controlled through multi-body dynamic modeling and an optimization algorithm.

The invention provides a mechanical arm curved surface scanning path planning method based on a least square conformal algorithm, and the method comprises the steps: carrying out the digital-to-analog conversion of a to-be-scanned curved surface into a triangular mesh, and calculating the curvature and normal vector of the vertex of the triangular mesh; performing point clustering according to the curvature and the normal vector of the vertex to obtain a point set of a plurality of areas capable of being continuously scanned; projecting the three-dimensional vertex to a two-dimensional plane through a least square conformal algorithm; solving a two-dimensional scanning path point corresponding to a point in the point set of each continuous scanning area; the adjacent scanning areas are connected end to end according to the nearest neighbor relation, and a complete two-dimensional scanning path point array is obtained; performing inverse mapping back to three dimensions, and offsetting the path points according to the normal directions of the path points and the parameters of the scanner to obtain a complete three-dimensional scanning path point array; and finally converting the data into executable data of the mechanical arm to complete path planning. According to the method provided by the invention, the curved surface scanning path which is efficient, comprehensive in coverage and high in adaptability and can be executed by the mechanical arm is generated.

The invention discloses a PCB production line defect detection analysis method and system based on an identification model, particularly relates to the technical field of PCB quality detection, and is used for solving the problems of low PCB defect detection precision and high omission ratio in the prior art. The method comprises the following steps: scanning the whole surface of a PCB to generate a thickness distribution diagram, identifying a thickness non-uniform region by adopting a threshold segmentation algorithm, and marking a key detection region; potential defects irrelevant to process fluctuation are identified through historical production data analysis; and adjusting the polarization angle of the light source to analyze the reflectivity difference, and identifying the hidden defect area in combination with the microstructure of the material. The union set of the potential defect area and the hidden defect area is marked as the suspected incomplete area, and the influence of the suspected incomplete area on the performance of the PCB is analyzed according to the quality standard, so that the detection precision and comprehensiveness are improved, and the high-quality control of the PCB is realized.

A system for surface analysis of a cable layer. The system comprises an in-line surface scanner arrangement and a controller. The in-line surface scanner arrangement is for scanning a cable layer in or received from a cable manufacturing line, the scanner arrangement comprising one or more non-contact distance scanners arranged to measure distance to an outer surface of the received cable layer. The controller is arranged to receive scan data of the outer surface of the received cable layer based on signals received from the in-line surface scanner arrangement; extract surface texture data from the scan data; determine one or more properties of the surface of the cable layer based on the surface texture data; compare at least one determined property with one or more threshold criteria; and identify at least one of a surface feature of interest, a deviation, or a defect based on the comparison.

The invention belongs to the technical field of structured light three-dimensional measurement, and particularly relates to a super-density stripe structured light three-dimensional surface scanning method and system, and the method comprises the steps: obtaining camera parameters; projecting a super-density stripe structure light pattern formed by alternating wide bright and dark stripes to an object; acquiring an image by using a camera, and extracting a central point pixel coordinate of the stripe-structured light pattern by using a sub-pixel precision positioning method; calibrating a light plane equation of each stripe structure light pattern under a camera coordinate system by means of a plane target; reversely projecting the pixel coordinate of the central point of the stripe-structured light pattern into a ray and intersecting the ray with a corresponding light plane to obtain the three-dimensional coordinate of the ray and form an initial three-dimensional point cloud; and finally, carrying out gray scale estimation and filling on missing data caused by signal saturation or difficult positioning based on a radiation brightness physical model to obtain complete and accurate three-dimensional surface shape data. According to the invention, high-precision, high-density and high-integrity three-dimensional surface scanning is realized, and the reliability and applicability of a measurement result are remarkably improved.

The application discloses a scanning method of a scanning optical fiber displacement sensor and belongs to the technical field of optical fiber displacement sensors; S1: a scanning platform is established; S2: a scanning surface and the area of the scanning surface are determined; scanning light passes through a lens in a voice coil motor to output laser to irradiate on a to-be-scanned object; diffuse reflection occurs on the to-be-scanned object; after the scanning platform receives the reflected information light of the to-be-measured object, the voice coil motor is used to move the laser to a next position, and the scanning surface of the to-be-measured object is scanned; S3: in the scanning process, the displacement information d of the to-be-measured object is calculated and acquired by means of the reflected light power of the scanning surface and the light power emitted by the scanning platform. The present application improves the existing point type optical fiber displacement sensor into a scanning optical fiber displacement sensor, and the surface scanning is more accurate than single-point scanning, and the change of the object in the direction can be measured.

The invention provides an optical detection device, a soil element detector and a soil element detection method. The device is characterized in that a laser beam expanding and collimating system performs beam expanding and collimating on laser emitted by a laser and inputs the laser into a multiplexing folding light path system; the multiplexing folding light path system carries out light beam folding on the laser subjected to beam expansion and collimation to obtain folding system emergent laser, and the folding system emergent laser is input into the surface scanning light path system; the surface scanning light path system focuses laser emitted by the folding system on a surface scanning target surface window to generate plasma; the spectral signal acquisition light path system acquires signal light radiated by the plasma; and the imaging system is used for imaging the window of the surface scanning target surface window on the CMOS camera. According to the device, through the design of a multi-stage optical system, the functions of laser beam expanding, collimation, folding, focusing, signal acquisition and the like are modularized, and each module is independently optimized to improve the stability of the whole device, so that the stability of data is improved, rapid and accurate scanning type detection on a to-be-detected surface is realized, and the anti-disturbance capability is improved.

The invention relates to the technical field of material corrosion and protection, discloses a TP2 copper corrosion behavior testing method based on temperature regulation and control, and aims to solve the problem that in the prior art, various physical and chemical parameters in the corrosion process are difficult to synchronously obtain under the same microscale, so that a local corrosion dynamics mechanism cannot be deeply revealed. The core of the system is a coaxial three-function composite probe integrated with thermal, acoustic and electrochemical sensing units, and the coaxial three-function composite probe is matched with a synchronous laser heating module and a multi-physical field synchronous control system. During testing, the probe scans on the surface of a sample, local thermal disturbance is applied to each pixel point, and the interface temperature, acoustic impedance and corrosion rate data of the point are synchronously collected. According to the invention, through high integration in structure and accurate synchronization in time, the space mismatch error of multi-source measurement is eradicated, and multi-physical field distribution images which are accurately corresponding to each other can be obtained in situ and losslessly.

The invention relates to the technical field of stereotactic surgery, and discloses a neurosurgery stereotactic surgery positioning system based on multi-modal image fusion, which comprises a multi-modal image acquisition module, an intelligent registration fusion module, a three-dimensional modeling module, a surgery navigation engine, an augmented reality interface and a dynamic calibration module, a cross-modal elastic registration module is arranged, when multi-modal image fusion is carried out, the spatial matching degree of a functional image and a structural image is detected in real time through a nonlinear deformation compensation algorithm, and when registration deviation exists between white matter fiber bundles and tumor boundaries, an elastic deformation compensation field is dynamically generated by a system, so that the positioning accuracy of a neural functional area is improved; and by arranging the dynamic drift correction module, the brain tissue displacement change is perceived in real time based on laser surface scanning during deep target navigation, precise correction of the pose of the surgical instrument is realized, and the positioning reliability of the deep target is ensured.

The invention relates to the technical field of laser welding, in particular to a foamed ceramic plate performance analysis method and device.The foamed ceramic plate performance analysis method comprises the steps that surface scanning is conducted on a foamed ceramic plate sample to obtain collected data and a stereoscopic image sequence, and a three-dimensional pore model is constructed according to a surface feature matrix and the stereoscopic image sequence; carrying out topology and geometric feature extraction processing on the three-dimensional pore model to obtain a pore feature vector, and carrying out thermal performance parameter derivation processing on the pore feature vector to generate a thermal conductivity prediction formula; according to the pore feature vector and a thermal conductivity prediction formula, iteratively calculating influence data of pores on stress distribution, and generating a mechanical property prediction formula; and constructing a performance index matrix according to the thermal conductivity prediction formula and the mechanical property prediction formula, and performing optimization processing on the performance index matrix to obtain a comprehensive performance score table. According to the method, through combination of microstructure analysis and macroscopic performance prediction, the accuracy and comprehensiveness of comprehensive performance evaluation of the foamed ceramic plate are remarkably improved.

The invention discloses an intelligent weeding control method of a laser weeding robot and the laser weeding robot. The method comprises the steps that ground images are collected through a binocular depth camera, and weeds and seedlings are recognized; judging the relationship between the actual density of the inter-plant weeds and a preset density threshold value; when the actual density is greater than a preset threshold value, setting a first target speed to run the laser weeding robot, and planning a strike path based on the weed position to execute point descending type strike; and when the actual density is smaller than or equal to the preset threshold value, setting a second target speed for operation and starting a surface scanning mode to cover the high-density weed area. Dynamic matching of speed grading and strike strategies is achieved through a density threshold decision mechanism, the weeding rate is guaranteed, meanwhile, the operation efficiency is optimized, the problems of low-density working condition energy waste and high-density working condition clearing efficiency reduction are solved, and the adaptability of a farmland with complex weed distribution is comprehensively improved.

The invention belongs to the technical field of semiconductor material surface engineering and defect analysis, and provides an ultrahigh vacuum surface defect detection method and system based on a scanning tunneling microscope, and the method comprises the following steps: carrying out mechanical stripping on a bulk single crystal gallium oxide sample based on the cleavage property of a crystal, and obtaining a gallium oxide single crystal wafer with a micron thickness; placing the stripped single crystal gallium oxide sample in an ultrahigh vacuum environment, and removing atmospheric adsorbates on the surface through vacuum high-temperature annealing treatment; performing sputtering annealing cycle treatment on the surface of the preliminary annealing sample in an ultrahigh vacuum environment to generate an oxygen vacancy defect on the surface so as to obtain a post-treatment sample; the oxygen vacancy concentration, the surface cleanliness and the surface atom orderliness are verified through auxiliary characterization means (XPS, LEED); performing scanning imaging on the surface of the post-treatment sample through a scanning tunneling microscope (STM), and performing oxygen vacancy defect identification by combining with an oxygen vacancy defect STM image simulated by DFT calculation; according to the method, the atomic-scale resolution of the surface of the single crystal gallium oxide sample is detected through the scanning tunneling microscope, the oxygen vacancy defect and other various surface defects are accurately recognized, and the surface state of the sample is comprehensively evaluated.

A surface scanning tool and methods of using a surface scanning tool to determine a surface shape of a tool. In embodiments, the surface scanning tool includes a laser, a detector, and a signal analysis module. The laser sends a beam of light that is reflected off a bottom surface of the tool. The detector receives the reflected beam of light and sends the reflected beam of light signals to a signal analysis module. The signal analysis module determines a surface shape of the bottom surface and triggers mitigation actions. In alternative embodiments, the surface scanning tool includes a camera and a signal analysis module. The camera takes a picture of the bottom surface of the tool and sends the image to the signal analysis module. The signal analysis module determines the surface shape of the bottom surface and triggers mitigation actions.

The invention discloses a laser-chemical composite surface planarization process based on a laser stripping sheet. The method comprises the following steps: firstly, carrying out surface scanning on the surface of a wafer subjected to laser-ultrasonic stripping by adopting femtosecond laser, thinning the wafer to a first target thickness through an ultra-short pulse cold working mechanism, and optimizing the sharp corner fluctuation of the surface at the same time; then immersing the wafer into a hydrofluoric acid-nitric acid mixed solution containing a platinum / iridium catalyst, accurately etching the residual sharp corner by utilizing a selective catalytic reaction of a contact point of a catalyst plate and the wafer, and feeding back and adjusting processing parameters in real time through a morphology monitoring module and an infrared thermal imaging system; and finally, thinning to the required thickness by adopting chemical mechanical polishing, and obtaining an atomic-scale flat surface. According to the technology, through the synergistic effect of laser pre-thinning and chemical etching, the problems that a traditional grinding technology is low in efficiency and large in material consumption are solved, and the technology has the advantages of being efficient, low in damage, high in precision and the like and is suitable for surface treatment of hard semiconductor wafers such as silicon carbide and gallium nitride.

A method for generating a virtual model of an object in a patient's anatomy. The method employs a surface scan of an anatomical region of the patient's oral cavity and a volumetric density scan of the anatomical region. The method includes receiving a first dataset of labeled surface scan segments, receiving a second dataset of labeled volumetric density scan segments, cross-mounting in a coordinate system, labeled surface scan segments from the first dataset to labeled volumetric density scan segments from the second dataset, receiving identification of the targeted extraction object, identifying the 3D volumetric density model and the 3D surface model associated with the volumetric density scan segment label, and generating a third dataset comprising and 3D model of a socket, a 3D model of portions of a tooth crown, a 3D model of portions of a target extraction tooth, and / or a 3D model of the extraction contour.

A method of multimodal scanning may include generating surface scan data of an intraoral structured using structured light. The method may include generating volumetric scan data of an internal structure of the intraoral structure with OCT scanning. The OCT scan data may be aligned with the surface scan data. A three-dimensional volumetric model of the patient's dentition may be generated based on the aligned OCT scan data and the surface scan data.

The invention provides a digital complete denture manufacturing method which comprises the following steps: designing a personalized tooth test tray with exposed anterior teeth on the basis of surface scanning and an impression, then wearing the personalized tooth test tray to manufacture a closed impression, determining a vertical and horizontal jaw position relationship, and then precisely machining a complete denture by adopting a digital method. By adopting the method provided by the invention, the patient can wear a pair of closely-attached and comfortable complete dentures when seeing a doctor for the third time. The whole-process digital processing method is adopted, clinical operation is more standard and consistent, the comfort level of a patient is improved, and the processing time and difficulty are greatly reduced.

The invention relates to a three-dimensional wall surface scanning method and system based on point cloud data, and belongs to the technical field of three-dimensional wall surface scanning, and the method comprises the following steps: S1, an early-stage preparation stage; s2, a data acquisition stage; s3, data preprocessing; s4, extracting wall surface information; s5, constructing a wall surface model; and S6, subsequent application. According to the three-dimensional wall surface scanning method and system based on the point cloud data, the three-dimensional data of the surface of the wall surface can be rapidly obtained by using the laser ranging principle, the measurement time is greatly saved, and the three-dimensional coordinate data of a large number of dense points on the surface of the wall surface can be obtained, so that a high-precision three-dimensional model is generated, fine features of the wall surface can be captured, and the accuracy of the wall surface scanning is improved. The requirement of high-precision measurement is met; a non-contact measurement method is adopted, damage or pollution to the measured wall in the measurement process is avoided, the safety of measurement personnel can be ensured, meanwhile, errors caused by human factors are avoided through non-contact measurement, and the measurement accuracy and reliability are improved.

The invention relates to a compatible microscopic surface scanning system, which comprises a microscopic imaging system used for observing and confirming the position of a detected sample; the plane coarse movement displacement table has an X movement direction and a Y movement direction and is used for realizing coarse positioning on the sample and moving the sample to the position below the probe; the Z-axis approaching displacement table and the bracket thereof are used for fixing a signal acquisition circuit and realizing approaching of the probe to the sample; the nanometer displacement table and the controller thereof have movement in the X axis direction, the Y axis direction and the Z axis direction and are used for completing plane scanning in the X direction and the Y direction, and meanwhile the Z axis is used for further controlling the distance between the probe and the surface of the sample within a range of several nanometers after the scanning probe passes through the coarse proximity; the two signal acquisition circuits are respectively used for acquiring AFM signals and STM signals and transmitting the AFM signals and the STM signals to the signal acquisition equipment and the upper computer; and the signal acquisition equipment and the upper computer software are used for reading, processing and storing the signals collected by the signal acquisition circuit. The design scheme of moving the probe in the Z axis and moving the sample in the XYZ two-stage three axes is adopted, two signal acquisition circuits are compatible, the functions of AFM and STM are achieved at the same time through one set of equipment, scanning information of the microscopic surface of the sample is detected in multiple ways, the equipment cost is saved, the detection efficiency is improved, and the detection cost is reduced. And the multi-angle analysis on the microstructure of the sample is enhanced.

The invention discloses a hole parameter measurement and identification method based on laser scanning, and belongs to the field of aeronautical manufacturing, and the method comprises the steps: obtaining part surface scanning data; carrying out noise reduction on part surface scanning data; performing three-channel space mapping on the denoised scanning data to obtain a hole surface scanning original data image; realizing hole region identification of the original data image based on a deep learning network model; local interference falling in a hole area is filtered out; hole parameters are obtained in combination with a contour line circle fitting mode, hole normal vector plane fitting is carried out, and then the obtained hole parameters are corrected based on a normal vector correction strategy; identifying, measuring and correcting hole parameters contained in all hole areas to obtain hole parameters of the complete image; and the recognition result of the hole parameters is reflected, and the result display of the global recognition strategy is realized. According to the method, a multi-step noise and interference removal mode and a surface normal vector correction strategy are included, the detection result is closer to a real numerical value, and better parameter precision measurement capability is shown.

The invention provides a safety grading early warning method for a risk area of tunnel surrounding rock, and relates to the technical field of geotechnical engineering. Firstly, a three-dimensional laser scanning technology is adopted to perform regular surface scanning on a selected tunnel section, and high-precision tunnel point cloud data is obtained and preprocessed to ensure data quality (S1). And based on the preprocessed tunnel point cloud data, analyzing and determining spatial deformation distribution of the surrounding rock and an evolution law thereof with time (S2). And according to the spatial deformation characteristics, developing a set of identification algorithm for the potential risk area (S3), and establishing a set of quantitative index system to evaluate the risk level of surrounding rock deformation and damage (S4). And finally, on the basis of the research results, constructing a hierarchical safety early warning system for monitoring and early warning the change condition of the surrounding rock risk area in real time, thereby ensuring the safety during tunnel construction and operation (S5).

The invention relates to an electric arc additive T-shaped bolt connection three-dimensional simulation and prediction method, which comprises the following steps: carrying out three-dimensional laser geometric scanning on an electric arc additive T-shaped part, and carrying out parameter processing on an obtained scanning model; anisotropy constitutive parameters of the electric arc additive T-shaped part are defined, and a material failure criterion is set; constructing an ideal surface flat model and a fluctuating surface scanning model; the bearing performance is predicted through the simulation model and compared with a test result to verify the accuracy of the model. The method has the beneficial effects that the material anisotropy and surface fluctuation irregularity of the electric arc additive structural member are considered, and the three-dimensional simulation prediction model of the electric arc additive T-shaped bolt connection is established through calculation model simplification, grid unit division, boundary condition setting and contact surface setting; the method can be used as a large-scale parameterization performance prediction analysis method, and a novel high-efficiency and high-precision three-dimensional simulation and prediction practical method is provided for the structure.

The invention provides a method and a device for detecting the surface roughness of a subperiosteal implant. The method comprises the following steps: acquiring an optical signal scattered by the surface of a to-be-detected subperiosteal implant and converting the optical signal into a time domain interference signal; based on a first preset algorithm, performing time-frequency conversion on the time-domain interference signal to obtain a frequency-domain interference signal, and calculating a phase spectrum of the frequency-domain interference signal to obtain phase information; based on a second preset algorithm, performing phase unwrapping on the phase information to obtain surface height information; and acquiring the surface roughness of the subperiosteal implant to be measured based on the surface height information. The problems that in the prior art, a contact type surface detection method is difficult to measure the surface with the large curvature, and a local detection mode has the high requirement for uniformity of the large surface to be detected, so that the surface roughness detection result is inaccurate are solved. Overall surface scanning is achieved through optical detection, optical signal data processing is combined, and the accuracy of the surface roughness detection result is improved.

The invention provides a nondestructive testing method for the solidification state of a solid-state battery based on multi-mode ultrasound, and the method comprises the steps: carrying out the ultrasonic surface scanning of the solid-state battery through employing an ultrasonic testing device, and collecting a transmission signal and an echo signal of an ultrasonic wave; calculating the transmission signal sound velocity and the transmission signal peak-to-peak value of each point on the scanning surface of the solid-state battery; mapping to generate an HSV (hue, saturation and value) color pixel map; judging the curing state of the solid-state battery according to the transmission signal sound velocity and the HSV color pixel map; when the curing state is not good, positioning a suspicious defect area according to the HSV color pixel map; the curing defect type is determined from the display of the HSV color pixel map and a B-scan map generated from the echo signal. According to the method, nondestructive detection of the solid-state battery curing state can be realized, and cooperative improvement of detection efficiency and accuracy can be realized.

The invention relates to the technical field of optical equipment, in particular to a three-dimensional confocal X-ray emission-fluorescence bimodal spectrometer and a use method. X-ray tube focus point source excitation and three-dimensional confocal light path design are adopted to generate a bimodal signal source, and X-ray emission and X-ray fluorescence bimodal signals of chemical elements in a sample are respectively collected and obtained through a position sensitive detector and an energy sensitive detector through a confocal bent crystal focusing light splitting system and a fluorescence light path; confocal scanning of a three-dimensional space in a sample is completed through a sample loading and position self-control system, and the absolute content of a chemical element in a specific form is calculated through a signal linkage analysis module. The spectrometer can realize synchronous quantitative determination and analysis of forms and contents of chemical elements, solves the problems that XRF and XES can only be operated step by step, form proportion and total data cannot be associated in real time, and an XES spectrogram has spectrum peak overlapping interference and the like, and has one-dimensional point determination, two-dimensional surface scanning and three-dimensional body analysis capabilities.

The invention provides a double-sided detection device for a steel shell battery, which belongs to the field of optical detection and comprises a front detection module, a front and back middle transfer module and a back detection module. The front and back surface transfer module is used for turning over the battery detected by the front surface detection module and transferring the battery to the back surface detection module; the front surface detection module and the back surface detection module comprise a belt conveying module, two groups of obliquely opposite linear light sources, a linear scanning camera module, a surface scanning camera module and an annular light assembly; the line scanning camera module is used for detecting the size, surface flatness, pits, sand holes and holes of the steel shell battery, and the surface scanning camera module is used for detecting the size, scratches and dirt of the steel shell battery. Through the scheme of the invention, efficient and intelligent double-sided visual inspection of the steel shell battery is realized, the surface quality of the steel shell battery is ensured, and popularization and application in the field of detection of soft and hard package batteries are facilitated.

The invention is applicable to the technical field of petroleum detection, and relates to a method for identifying the spatial maturity of a petroleum inclusion, which comprises the following steps: collecting and processing a rock sample containing the petroleum inclusion; placing the processed sample on a sample table of an O-PTIR instrument, setting surface scanning parameters, performing surface-by-surface scanning on the petroleum inclusion in the sample in the Z-axis direction, and obtaining photo-thermal infrared spectrum images and data of different Z-axis layers; preprocessing the photo-thermal infrared spectrum image and data; a three-dimensional space maturity distribution model of the petroleum inclusion is constructed, characteristic peaks related to maturity in photo-thermal infrared spectrum images of different Z-axis layers are analyzed, a petroleum inclusion standard spectrum database with known maturity is combined, a quantitative relation between characteristic parameters and the maturity is established, and the maturity of the petroleum inclusion is calculated. Therefore, maturity values of the petroleum inclusion in different spatial positions are determined; and displaying the maturity information in a visual mode. According to the invention, accurate determination of the petroleum inclusion space maturity is realized.

A handheld combined optical target and a calibration method. The handheld combined optical target comprises a positioning target body, a surface scanning head, a handle and a hinge rotating mechanism, wherein one side of the surface scanning head is connected to a bottom end of the positioning target body by means of the hinge rotating mechanism, and the handle is arranged at the side of the positioning target body. A target surface is scanned by means of the surface scanning head, thereby improving the three-dimensional scanning efficiency; and the positioning target body of the optical target can be easily positioned by means of a visual system, so as to provide a new low-cost space tracking method for large-view-of-field stitch scanning. The switching between two fixing and fastening modes improves the flexibility of measurement.

The invention discloses a hydrocarbon source rock maturity determination method, device and equipment based on Raman spectrum. The method comprises the following steps: scanning a to-be-detected hydrocarbon source rock by adopting a Raman spectrum surface scanning method, and determining a plurality of scanning data, the Raman spectrum surface scanning method being used for analyzing the structural data of the to-be-detected hydrocarbon source rock; based on the plurality of scanning data, determining intensity values of a plurality of scanning points on the to-be-detected hydrocarbon source rock, and calculating a mean value of the plurality of scanning data, the intensity values being used for representing scanning results of the scanned points of the to-be-detected hydrocarbon source rock; based on the mean value, performing standardization processing on the intensity values of the plurality of scanning points, and determining a target spectrum; and determining the maturity of the hydrocarbon source rock to be detected based on the target spectrum. The technical problem that in the prior art, maturity evaluation has high requirements for the technical level of operators is solved.