2890results about "Material analysis by transmitting radiation" patented technology

This invention relates to the field of conductor inspection technology, specifically disclosing a multi-angle detection robot and method for detecting multi-split tension clamps. The robot includes a cable routing mechanism, a lifting and adjusting mechanism, a spacing adjusting mechanism, and a detection mechanism. During detection, the x-axis drive device of the detection mechanism moves the mounting plate to the side of the frame. A first rotation module drives a right-angle frame to rotate around the z-axis to unfold the swing arm. A second rotation module deflects the swing arm to align the X-ray source and imaging plate with the target clamp. Combined with a third rotation module to fine-tune the imaging plate angle and a linear drive device to adjust the spacing, multi-angle imaging accuracy is ensured. The robot can also reverse direction, enabling the detection of tension clamps at both ends of a multi-split conductor tower in a single setup, improving efficiency. Compared to traditional devices, this application achieves continuous detection of multi-split clamps through multi-degree-of-freedom unfolding and adaptive adjustment, significantly improving detection efficiency. Furthermore, its compact structure adapts to complex high-altitude environments.

The invention relates to a transmission electron microscope low-temperature sample rod using a flexible structure to transfer heat. The transmission electron microscope low-temperature sample rod comprises a liquid nitrogen Dewar tank; the sample rod comprises a sample rod body with a front-back through hollow cavity, a heat conduction rod and a flexible heat transfer rope, one end of the heat conduction rod extends into the liquid nitrogen Dewar tank, the other end of the heat conduction rod extends into the sample rod body, one end of the flexible heat transfer rope is wound and fixed on the heat conduction rod, and the other end of the flexible heat transfer rope is wound and fixed on the sample rod body. The other end of the sample rod extends to the outer end of the sample rod body; the sample rod head comprises a sample rod fixing outer frame and a sample rod temperature control part, the sample rod fixing outer frame is connected with the outer end of the sample rod body, the sample rod temperature control part is arranged on the sample rod fixing outer frame, the sample rod temperature control part is connected with the flexible heat transfer rope, and a heating element capable of heating a sample to be tested is further arranged on the sample rod temperature control part. Compared with the prior art, efficient heat conduction can be achieved, meanwhile, the thermal stress influence is reduced, and the temperature stability and the sample position stability are improved.

The invention belongs to the technical field of fan damage detection, and particularly discloses an unmanned aerial vehicle-based offshore fan blade damage detection system, which comprises a detection partition determination module, an unmanned aerial vehicle acquisition control module, a damage image acquisition module, a fan damage analysis module and a fan damage feedback terminal. According to the method, the damage point and the blade area are positioned through preliminary cruising of the unmanned aerial vehicle, and the fan array is divided, so that the dilemma that a traditional detection mode is easily interfered in an offshore high-wind-speed environment is changed, and the complicated offshore environment can be flexibly coped with; meanwhile, the shooting distance and the shooting time point of the unmanned aerial vehicle are adjusted by combining the space coordinates of the damage point, the real-time blade rotating speed and the real-time offshore wind condition to generate a shooting parameter instruction, so that the limitation and the monitoring dead angle limitation of traditional fixed-view-angle monitoring are broken through; and finally, crack analysis of different depth layers is carried out on the optical image and the ray image, so that the damage degree can be evaluated more comprehensively and accurately.

The invention relates to the technical field of transmission electron microscope in-situ experiments, in particular to a transmission electron microscope in-situ multi-field coupling experiment platform which comprises a sample rod, a carrying table, a thermoelectric chip, a magnetic field generating device and a flexible circuit board. A first mounting groove and a second mounting groove are formed in the carrying table; the thermoelectric chip is arranged in the first mounting groove, and a carrying part, an electrical control unit and a temperature control unit are arranged on the thermoelectric chip; the magnetic field generating device is arranged in the second mounting groove and can generate a controllable magnetic field on the carrying part; the carrying part is used for carrying a sample, the electrical control unit is configured to load and measure an electrical signal of the sample, the temperature control unit is configured to control and measure the temperature of the carrying part, and the transmission electron microscope in-situ multi-field coupling experiment platform provided by the invention realizes cooperative application and accurate control of an electric field, a magnetic field and a temperature field.

The invention provides a self-adaptive dual-energy pulse X-ray detection system and a detection method. The self-adaptive dual-energy pulse X-ray detection system comprises a dual-energy X-ray emission module, a pulse modulation and high-voltage power supply module, a detector array and a self-adaptive control system, wherein the dual-energy X-ray emission module is in signal connection with the pulse modulation and high-voltage power supply module; the detector array is positioned on the opposite side of a detected object; and the self-adaptive control system is in signal connection with the pulse modulation and high-voltage power supply module. The self-adaptive dual-energy pulse X-ray detection system and the self-adaptive dual-energy pulse X-ray detection method have high penetrating power, and the problems of fuzzy recognition and generation of image blind areas can be effectively avoided.

The invention discloses a BNCT dose calculation method, which comprises the following steps: S1, constructing a voxel model, initializing one or more particles in a simulation system, and respectively acquiring the initial position, energy and movement direction of each particle; s2, adaptively selecting a Monte Carlo particle tracking algorithm and a flux counting mode based on the region where the particles are located and the energy of the particles; s3, repeating the step S2 until the particles leave the simulation system or are killed when meeting a truncation condition; and S4, cumulatively calculating dose distribution. Through the BNCT dose calculation method, the Monte Carlo particle transport simulation time is greatly shortened, the BNCT dose calculation efficiency is optimized, and the method is suitable for rapid and high-precision radiation dose simulation under a BNCT complex tissue structure.

The invention discloses an X-ray detection device and method for detecting a PCB, and the device comprises a housing, and an X-ray emission source transmission system, an X-ray detector transmission system and a PCB conveying system which are disposed in the housing. The X-ray emission source transmission system is high in X-ray emission source transmission speed, high in precision and small in vibration quantity, the X-ray detector transmission system is high in X-ray detector transmission speed, high in precision and small in vibration quantity, the PCB conveying system can automatically input and output PCBs, the height of the PCBs can be automatically adjusted, and the PCB conveying efficiency is improved. The PCB conveying system can adapt to PCBs with different width sizes, and can be prevented from blocking X rays.

The invention relates to the field of nondestructive testing and automatic sorting of agricultural products, and discloses an X-ray-based walnut internal defect feature optimization detection method and device, and the method comprises the steps: collecting an X-ray image of a moving walnut, extracting a region of interest (ROI) through preprocessing, extracting and fusing spatial domain and frequency domain texture features to form a multi-dimensional feature set, and obtaining a feature set; an optimal feature combination is screened out through dimensionality reduction; and finally, the types of the internal defects of the walnuts are identified by a pre-trained classifier, and a result is output. The device comprises a feeding mechanism, a conveying mechanism, an X-ray detection mechanism, a sorting execution mechanism and a processing and control system electrically connected with all the mechanisms. The problems of single identification category and insufficient model stability and precision are solved, and high-throughput and automatic lossless sorting of walnuts is realized.

The invention discloses a spiral steel pipe weld defect detection device applied to X-ray detection, and relates to the field of steel pipe weld detection, the spiral steel pipe weld defect detection device comprises a base and a movable platform mounted at the upper end of the base, and the upper end of the base is provided with a steel pipe; a stirring roller and a lifting roller are rotationally installed at the upper end of the movable platform and located below the steel pipe fitting. According to the spiral steel pipe welding seam defect detection device applied to X-ray detection, high-pressure wind power is transmitted to the flow dividing pipeline through the pressurizing air outlet by the air blower, and the transmitted high-pressure air carries pressure to penetrate through an opening gap in the surface of the lifting roller to impact on the surface of a steel pipe; the cleaning brush at the upper end is driven to move back and forth in a reciprocating manner in cooperation with limiting of a movable plate and a limiting rod, so that surface residual impurities generated by contact of a pressurizing air outlet and a steel pipe fitting are subjected to auxiliary guiding and removing work, and flaw detection can be more accurate.

The invention relates to the technical field of lithium battery cell online nondestructive testing, and discloses a lithium battery cell lamination process online quality detection method, which is used for solving the problems of high difficulty in real-time online identification of hidden defects in a lithium battery cell lamination process and high omission ratio in a traditional method. The method comprises the following steps: firstly, synchronously acquiring an optical image of the surface of a pole piece and an X-ray perspective image of an internal structure on a lamination production line to obtain a multi-modal image sequence, carrying out time sequence registration and space alignment fusion on the two types of images, and extracting a pole piece layer, a diaphragm layer boundary and a density abnormal region; according to the method, an S-shaped deformation template and an internal foreign matter template are combined to carry out mode comparison, three-dimensional coordinate positioning, density grading and severity marking are carried out on an abnormal area, a structured abnormal catalogue is fed back to a production line control system, technological parameters are adjusted in a linkage mode, online nondestructive testing and closed-loop regulation and control of hidden defects are achieved, and the production efficiency is improved. The omission ratio is reduced; and the consistency and the safety of the lamination process are improved.

The invention relates to an X-ray weld defect intelligent detection method based on weld line perception and reversible domain mapping, which comprises the following steps: collecting a gray X-ray image of a weld region, and carrying out joint labeling on a weld center line track and a defect mask to construct a standardized training data set; designing a weld line sensing hybrid neural network architecture; performing end-to-end training on the network by using a joint loss function formed by detection task loss and center line consistency constraint to realize collaborative optimization of defect category discrimination and spatial positioning; and deploying the trained model in an automatic welding quality detection system, performing forward reasoning on X-ray images acquired in real time, and continuously outputting defect detection results with accurate category, position and form information in combination with a post-processing strategy of weld direction clustering. According to the invention, stable and accurate identification of slender and weak-texture weld defects under the condition of bent welds is realized, and automation and reliability of nondestructive detection of welds are remarkably improved.

The invention relates to a CL imaging system based on multi-axis motion control, the CL imaging system comprises a platform, a side table, a large hollow rotary table, supporting legs and a control system, the platform is provided with an X translation table, the X translation table is located below the large hollow rotary table, the X translation table is slidably connected with a Z lifting table, the Z lifting table is slidably connected with a ray source support, and the ray source support is provided with a ray source; a hollow double-drive XY translation table is arranged above the large hollow rotary table, and the hollow part of the hollow double-drive XY translation table and the hollow part of the large hollow rotary table are overlapped; the side table is arranged close to the side edge of the platform, the side table is perpendicular to the platform and provided with a rocker arm driving rotary table, the rocker arm driving rotary table is connected with a rocker arm translation table, the rocker arm translation table is slidably connected with a detector support, and a detector is fixedly arranged on the detector support. According to the invention, the relative position of the radiation source and the detector is adjusted through the high-precision multi-axis motion control mechanism according to the characteristics of large thickness and large size of a PCB, and full-angle and local flexible CL data acquisition is realized.

The application provides a hydrogen pipeline defect detection method and system, equipment and a storage medium, and belongs to the technical field of defect detection. The method comprises the following steps: acquiring phased array ultrasonic detection data, digital radiographic imaging data and hydrogen concentration data of a hydrogen pipeline; extracting defect boundary features based on the phased array ultrasonic detection data, extracting defect microstructure features based on the digital radiographic imaging data, and extracting hydrogen concentration spatiotemporal distribution features based on the hydrogen concentration data; constructing a modal correlation graph by taking the defect boundary features, the defect microstructure features and the hydrogen concentration spatiotemporal distribution features as nodes, and determining the edge weight between every two nodes in the modal correlation graph according to the mutual information of the two nodes; generating a multi-modal correlation feature vector based on the modal correlation graph; and obtaining a defect detection result of the hydrogen pipeline based on the multi-modal correlation feature vector. The application can improve the accuracy of hydrogen pipeline defect detection.

Systems and methods for measuring soil moisture are provided. The system may include a neutron sensor configured to be disposed at a sampling location and including one or more neutron detectors configured to detect fast neutrons and thermal neutrons at the sampling location, and a computing device including at least one data processor and a memory storing instructions, the instructions are configured to cause the processor to perform operations including receiving a first electrical signal characterizing a fast neutron count at a sampling location and a second electrical signal characterizing a thermal neutron count at the sampling location from the neutron sensor, determining a ratio of fast neutrons to thermal neutrons present at the sampling location, a soil moisture measurement is determined based on the ratio, and the soil moisture measurement is provided.

The invention relates to the technical field of metal fatigue life prediction, in particular to an additive manufacturing metal multi-axis high-cycle fatigue life prediction method based on defect characteristics. The method comprises the following steps: performing defect detection on a metal sample to obtain size parameters and position parameters of defects in the metal sample; determining the type of the defect in the metal sample and setting a first correction factor and a second correction factor; calculating the equivalent stress strength factor amplitude of the metal sample under multi-axial loading; acquiring a long crack propagation threshold value of the metal sample; normalizing the position parameters to obtain normalized position parameters; and establishing a fatigue life prediction model of the metal sample according to the normalized position parameters, the equivalent stress strength factor amplitude of the metal sample under multi-axial loading and the long crack propagation threshold value of the metal sample, and calculating the multi-axial high-cycle fatigue life of the metal sample. According to the method, the fatigue life of the metal material containing the additive manufacturing defects under multi-axis high-cycle fatigue loading can be accurately predicted.

The invention discloses an in-situ TEM (Transmission Electron Microscope) device sample preparation method based on a suspended thinning and parallel carrying technology, which can be used for preparing in-situ TEM samples of semiconductor two-end devices and three-end devices, and mainly solves the problems of unstable ohm contact, nonuniform thinning, low success rate and high time cost in the prior art. According to the invention, an FIB sample preparation technology is adopted, and stable and reliable ohmic contact between a sample electrode and an MEMS chip electrode is ensured through specific-angle sample extraction, suspended thinning, parallel carrying, circuit breaking treatment and an accurate electrode welding process. According to the sample prepared by the invention, the failure state of a device can be observed in real time under a transmission electron microscope, the sample has the advantages of high sample preparation success rate, good repeatability, stable electrical parameters and wide applicable chip variety, and the reliability and repeatability of in-situ TEM test data are remarkably improved.

The invention discloses a distinguishing table type X-ray spectrometer and an X-ray absorption spectrum testing method, and relates to the technical field of spectral measurement. The high-resolution table type X-ray spectrometer comprises a sample signal source which is located in a Dowland circle and is used for generating X-rays; the exponential crystal is a bent crystal, the surface shape of the exponential crystal is defined by an exponential equation, so that different points on the curved surface of the crystal have different curvature radiuses and correspond to Rowland circles with different radiuses, each point on the exponential crystal is tangent to the corresponding Rowland circle, and the exponential crystal is used for performing monochromatization and focusing on the X-ray incident from the sample signal source; and the detector is positioned on a surface formed by the corresponding imaging points on each Rowland circle, and is used for receiving the X-rays which are monochromatized and focused by the index crystal and outputting corresponding light intensity signals. Therefore, through the cooperation of the index crystal and the multi-Rowland circle structure, the X-ray absorption spectrum test with high light receiving efficiency, high spectral resolution and wide energy spectrum range can be realized, and the comprehensive performance of the desk type spectrometer is improved.

The invention provides a semiconductor wafer surface detection method and device and a scanning electron microscope, and the method comprises the steps: collecting a to-be-detected wafer surface two-dimensional image through the scanning electron microscope, inputting the to-be-detected wafer surface two-dimensional image into a surface detection model, determining a wafer surface three-dimensional image related to the to-be-detected wafer surface two-dimensional image, identifying and outputting wafer surface parameters of the wafer surface three-dimensional image; the surface detection model is obtained by pre-training a wafer surface parameter sample and a sample pair associated with a wafer surface two-dimensional image sample and a wafer surface three-dimensional image sample, and the wafer surface two-dimensional image sample is obtained by scanning a wafer sample through a scanning electron microscope; the wafer surface three-dimensional image sample is obtained by scanning the same wafer sample through three-dimensional detection equipment, and the wafer surface three-dimensional image sample is bound with wafer surface parameters. Compared with a pure two-dimensional image of the wafer surface, the accuracy of surface data detection is improved while the detection speed is ensured.

A battery cell inspection system includes a photographing unit configured to obtain an electrode image of a battery cell, a memory storing a learning model trained to track an electrode endpoint in an electrode image of a battery cell, and a controller. The controller is configured to track the electrode endpoint in the electrode image of the battery cell by using the learning model, and to determine whether an electrode of the battery cell is defective, based on coordinate information of the electrode endpoint. A battery cell inspection method is also provided.

The invention relates to the technical field of semiconductor manufacturing, in particular to a sample with a pore structure, and provides a thinning method for preparing a pore sample by using a focused ion beam. According to the method, the front face of a target sample is thinned through FIB, then the back face of the target sample is thinned, the problem that in the prior art, a TEM target sheet generated when the front face and the back face of the target sample are thinned alternately is not of a pore internal structure is solved, and the technical effects of the method are that the efficiency of preparing the pore sample can be improved; and the picture shooting quality of the pore structure sample is improved.

The invention relates to the technical field of nondestructive testing, in particular to a multi-modal-based steel box girder complex weld defect detection system which comprises a multi-modal data acquisition module, a data processing and intelligent identification module and a control and integration platform. The multi-modal data acquisition module comprises an ultrasonic phased array probe, an X-ray imaging sensor, a visual imaging subunit and a positioning unit, and is used for synchronously acquiring ultrasonic, ray, visual images and spatial position information of a welding seam; the data processing and intelligent identification module is used for carrying out space-time registration and feature level fusion on the multi-modal data and realizing defect identification, positioning and quantification by utilizing a deep learning model; and the control and integration platform drives the movement mechanism to realize automatic scanning and provides result visualization and digital twin interfaces. According to the invention, the detection precision, efficiency and reliability of the internal and surface defects of the complex structure of the steel box girder can be improved.

The invention relates to the technical field of power transmission line detection devices, and particularly discloses a lightweight power transmission line X-ray imaging detection device which comprises a rack, two groups of walking mechanisms and a detection mechanism. The rack is provided with a telescopic extension rod, and the detection mechanism is arranged at the tail end of the extension rod. The walking mechanism comprises a walking arm and a walking wheel which can synchronously move in the Y direction, and the detection mechanism comprises an imaging plate and a ray source which can be adjusted in multiple directions. According to the device, by simplifying the structure of the walking arm, adopting the translation driving device, optimizing the layout of the detection mechanism and the like, the light weight of the whole structure is realized. According to the design, the weight and the size of the device are reduced, transportation and high-altitude deployment are facilitated, meanwhile, the walking stability is guaranteed through reasonable gravity center arrangement, and nondestructive testing on the power transmission line can be efficiently completed.

The invention discloses a bubble defect detecting and positioning system and method based on X-ray enhanced partial discharge, and belongs to the technical field of nondestructive testing of insulating materials, the system comprises a shielding box slidably mounted on a three-dimensional linear guide rail, an X-ray machine and a red laser are embedded in the shielding box, and double-oblique-angle cameras are mounted on two sides of the three-dimensional linear guide rail; the laser positioning synchronization device is installed on the movable collimation X-ray scanning module, and the movable collimation X-ray scanning module emits an X-ray beam towards the basin-type insulator to be detected; the laser positioning synchronization device emits a laser beam towards the basin-type insulator to be detected; the laser beam is coaxial with the X-ray beam; the double-oblique-angle camera shoots the basin-type insulator to be detected; the pressurization circuit is respectively connected with the pressurization electrode and the partial discharge detection system, and the pressurization electrode is electrically contacted with the basin-type insulator to be detected; the intelligent control platform is connected with the voltage increasing circuit, the movable collimation X-ray scanning module, the laser positioning synchronization device, the double-oblique-angle camera and the partial discharge detection system.

X-ray generation apparatus includes X-ray generation tube, driving circuit, and accommodating container. The X-ray generation tube includes insulating tube with first and second opening ends, cathode closing the first opening end and having electron emitting portion, and anode closing the second opening end and having target. The accommodating container has third opening end, and the X-ray generation tube closes the third opening end. The accommodating container defines first space storing the driving circuit, and second space protruding from the first space and storing at least part of the X-ray generation tube. The accommodating container includes protrusion portion surrounding the second space, and one end of the second space forms the third opening end.

The invention discloses a full-automatic steel plate internal defect on-line detection system based on an ultrasonic phased array, and relates to the technical field of nondestructive testing, and the system comprises an intelligent analysis module which is in communication connection with an on-line detection module and is used for operating an artificial intelligence rating model to carry out processing and preliminary evaluation on original ultrasonic detection data, outputting an initial evaluation result containing the defect space position; and the high-precision verification module is in communication connection with the intelligent analysis module, and is used for intercepting a corresponding sample steel plate according to the defect space position in the preliminary evaluation result, and verifying and measuring the sample steel plate through a high-precision detection means to generate defect true value data. According to the invention, the double quality control modules are combined with the look-ahead control and the backtracking control, so that the subsequent steel plate detection quality is guaranteed, the historical detection data deviation is corrected, the whole-cycle quality control is realized, the missing detection rate and the false detection rate are effectively reduced, and the quality stability of steel plate products is improved.

The invention belongs to the technical field of iron ion detection, and particularly relates to a rapid detection method for ferric ions in water, which comprises the following steps: a fluorescent probe preparation step: taking trihydrate of copper nitrate and tryptamine, adding into a centrifuge tube in sequence, adding ultrapure water, performing ultrasonic dissolution, transferring into a high-pressure reaction kettle, and performing hydrothermal reaction to obtain a fluorescent probe; cooling to room temperature, centrifuging the obtained yellow green solution in a centrifugal machine, and filtering the supernate through a microfiltration membrane to obtain a copper-doped carbon quantum dot CuCDs stock solution, namely the fluorescent probe; analyzing and determining Fe < 3 + >: taking the diluent of the prepared CuCDs solution, adding the diluent into a centrifugal tube containing a Fe < 3 + > standard solution, uniformly mixing, carrying out fluorescent quantitative analysis and detection, and exploring the change rule of the fluorescence intensity ratio of CuCDs; according to the rapid detection method for Fe < 3 + > provided by the invention, the synthesized CuCDs have high sensitivity, can realize on-site rapid detection of Fe < 3 + > in a water medium, and shows a wide application prospect in the field of environmental monitoring.

X-ray generation apparatus includes: X-ray generation tube, cathode having electron emitting portion, and anode having target; driving circuit for driving the X-ray generation tube, and accommodating container accommodating the X-ray generation tube and the driving circuit. The accommodating container defines first space storing the driving circuit, and second space protruding from the first space and storing at least part of the X-ray generation tube, the accommodating container includes protrusion portion surrounding the second space. The second space includes third space where X-rays from the target enter without being blocked by either the cathode or the anode, and fourth space where X-rays from the target are blocked by the cathode or the anode.

The invention relates to the field of industrial nondestructive testing and intelligent image analysis, in particular to a nondestructive testing digital image defect automatic positioning method and device. The system comprises an image preprocessing module, a multi-scale feature extraction module, an attention fusion positioning module and a defect mask output module. The method comprises the following steps: firstly, carrying out normalization and enhancement processing on an original digital ray image, then extracting multi-level image features through a convolution structure with a multi-scale receptive field, introducing a channel attention mechanism to carry out weighted enhancement on a defect area, and carrying out layer-by-layer up-sampling and fusion on a feature map by adopting a decoder to obtain a multi-level image; and finally outputting a pixel-level defect mask pattern. The system supports end-to-end training, has the advantages of high positioning precision, low calculation complexity, high adaptability and the like, and is suitable for a high-precision defect detection scene.

The invention relates to the technical field of foamed aluminum detection, and discloses a foamed aluminum insulation detection method based on an eddy current effect. The method comprises the following steps: dividing a foamed aluminum sample to be detected into a plurality of detection units, and collecting eddy current signal data, material structure data and environmental parameter data of each unit to form a multi-source detection data set; then, an insulation defect evaluation index and a material stability evaluation index are constructed according to the multi-source detection data set, and an initial defect value is generated through a preset threshold mechanism; and dynamically correcting the initial defect value based on the material relevance of the adjacent detection units to obtain a corrected defect value. And finally, generating a priority list according to the corrected defect value sequence, and outputting an insulation performance evaluation result in combination with a visual tool. According to the method, comprehensive and accurate detection of the insulation performance of the foamed aluminum is realized, a systematic and effective technical scheme is provided for identification and evaluation of insulation defects of the foamed aluminum, and the method is suitable for insulation performance detection scenes in the production and application process of the foamed aluminum.

A system for inspecting an object, includes: a source of X-ray radiation; a horizontal array of detectors, wherein the source and the array of detectors are positioned substantially on a first plane; a platform configured to rotate as well as translate in a vertical trajectory, wherein the platform is positioned on a second plane between the source and the array of detectors, and wherein the object is disposed on the platform; and a computing device configured to: cause the source to fire a substantially horizontal fan beam in a third plane, wherein the third plane is above a top of the object; acquire calibration data from the array of detectors while the third plane is above the top of the object; cause the platform to simultaneously rotate and raise the object vertically upwards; acquire scan data of the object; and generate a three dimensional scan image of the object.