2470results 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 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 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.

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 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 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.

The invention provides a conveying device which defines a conveying channel in the first direction and comprises a supporting frame, the supporting frame is provided with a supporting face extending in the first direction, the supporting face is used for supporting conveyed objects in the supporting direction, and in the second direction, the areas, close to the two sides, relative to the supporting face, the area, close to the center line, of the supporting face is recessed in the opposite direction of the supporting direction. And a plurality of flexible members supported by the support surface and movable around an outer periphery of the support frame. A plurality of flexible members extend on the support surface in a first direction and are movable in the first direction. A plurality of steering wheels are arranged on the end faces of the two ends of the supporting frame respectively, and each steering wheel guides one flexible piece to leave the supporting face in the opposite direction of the normal direction of the supporting face and advance along the end faces of the supporting frame. The invention further provides inspection equipment.

The invention relates to the technical field of chip packaging, and particularly provides a chip packaging defect detection method and system based on multi-source sensor data, and the method comprises the steps: collecting the multi-source sensor data of a chip sample; carrying out feature enhancement on the data of each mode by adopting a special preprocessing network so as to obtain a feature map with reserved mode specific information; carrying out spatial alignment on the multi-modal feature map, and inputting the multi-modal feature map after spatial alignment into a physical constraint guided cross-modal attention fusion module to obtain fusion features; inputting the fusion features into a dynamic weight distribution network, and dynamically adjusting the weight of each modal feature in a final decision by the network according to the change of real-time defect confidence; and finally, outputting a defect identification result by the classifier. According to the method, the cross-modal attention mechanism guided by physical constraints and the dynamic weight distribution network are introduced, so that the defect detection accuracy is improved.

The invention belongs to the technical field of civil engineering, and particularly relates to a shield tunnel structure abnormity identification method based on muon imaging and geological radar. According to the method, for a target detection section selected in a shield tunnel, a muon imaging device and a geological radar scanning device are arranged in the section, and muon flux data and geological radar reflection data in the same detection window are obtained. The method comprises the steps of target area determination and equipment layout, muon data acquisition and density imaging, geological radar data acquisition and reflector construction, space coordinate unification and image registration, fusion identification and abnormal area extraction. According to the method, the problem of false alarm of a single detection means is effectively solved, and through a multi-source data fusion method and double coupling verification of low density and strong reflection, high-efficiency and accurate positioning of hidden dangers such as cavities, voids and water erosion areas behind the shield lining can be realized, so that the false alarm rate is greatly reduced, and the decision-making efficiency of tunnel operation and maintenance is improved.

The invention belongs to the technical field of circuit board detection, and particularly relates to a method for detecting, identifying and analyzing residues in a circuit board cavity, which comprises the following steps of: positioning suspected residual areas according to the gray difference of an X-ray image, generating a space coordinate set of the suspected residual areas, screening out a to-be-analyzed area set by combining chemical chromogenic reaction intensity and X-ray contour features, and analyzing the to-be-analyzed area set. The method comprises the following steps of: obtaining a plurality of regions, dividing the regions into a plurality of subsets according to spatial diffusion characteristics, obtaining element and functional group data of each region through energy spectrum and spectral analysis, analyzing candidate residue categories, and dynamically adjusting subset division based on the consistency of the candidate categories in the subsets until the consistency requirement is met. And finally, outputting a specific residue category for each region according to a division result. According to the method, dynamic subset division is carried out according to the space congruency and the contour features, systematic distinguishing and classification of diffusion type residues and attachment type residues are achieved, and the accuracy of category judgment is improved.

The invention relates to the technical field of X-ray imaging, and discloses an X-ray grating comprehensive imaging information extraction method and system. The method comprises the steps of obtaining and preprocessing original data; acquiring multi-dimensional interference parameters formed by grating phase drift distance, photon statistical noise density and imaging object deformation rate; dynamically calculating a phase correction coefficient, a noise suppression weight and information extraction confidence; phase compensation and noise filtering are executed based on the confidence coefficient, and structure and density information is extracted; parameter changes are monitored in real time, and the extraction process is updated; the system correspondingly realizes the method. The problem of low dynamic scene information precision caused by multi-interference coupling is solved, and the imaging information extraction stability and quality are improved.

The invention provides a dual-energy fusion imaging and target identification method and system, and relates to the technical field of X-ray detection, and the method comprises the steps: carrying out the low-energy scanning of a detected object, and obtaining a low-energy image; performing high-energy scanning on a first local area, which needs to be subjected to high-energy scanning, on the measured object reflected by the low-energy image to obtain a high-energy image; fusing the low-energy image and the high-energy image to obtain a fused image; and performing suspicious target identification on the fused image to obtain an identification result, and outputting the identification result. According to the invention, a two-stage identification scheme is adopted. In the first stage, candidate regions are generated on a low-energy / fused image with a lower decision threshold; in the second level, fine detection and decision-making alarm are carried out on the fused image cutting piece of the candidate area with a high judgment threshold value, complementary scanning is triggered in cooperation with quality scoring and saturation pixel rate gating, and missed detection is reduced.

The invention discloses handheld steel fireproof door fireproof performance in-situ nondestructive testing equipment and a use method, and belongs to the technical field of fireproof door fireproof performance determination. In order to solve the problems that an existing method lacks an effective in-situ nondestructive testing means and the actual fire resistance of a fireproof door in use cannot be accurately judged, handheld in-situ nondestructive testing equipment for the fire resistance of the steel fireproof door is designed, during testing, electric suction cups on the two sides of the equipment are adsorbed to the fireproof door, and a laser sensor rapidly measures the thickness of the fireproof door; the ultrasonic eddy-current sensor is used for measuring fireproof door steel plate thickness; the X-ray sensor is used for measuring the compactness of the fireproof door filling material by using the X-ray propagation time; and comparing the measured data with a qualified fireproof door to obtain the fireproof performance of the measured fireproof door. Compared with the original fireproof door sampling detection equipment and method, the equipment and method can realize portable in-situ nondestructive detection, quickly judge the performance of the fireproof door, prevent inferior products from entering the market and protect the property and life safety of people.

The invention relates to an ultrasonic bonding process and a bonding process reliability evaluation method, and belongs to the technical field of semiconductor device packaging. The invention relates to an ultrasonic bonding process, which comprises the following steps of: 1, before bonding, carrying out plasma cleaning on a metal ceramic shell to remove surface contamination and an oxide layer; step 2, enabling the aluminum wire to penetrate into a chopper of a bonding machine, enabling the aluminum wire to be in contact with the surface of the gold-plated layer at the bonding pressure of 250cN-280cN by adopting the chopper, and enabling the aluminum wire to be in contact with the surface gold-plated layer of the bonding area in a low-pressure mode; and step 3, the bonding machine applies ultrasonic power of 10.5-12.3 W for 400-500 ms, the aluminum wire begins to rub and destroy the gold-plated layer on the surface of the bonding area under the action of the ultrasonic power, and after the gold-plated layer is destroyed, the aluminum wire penetrates through the gold-plated layer and forms an atomic-scale mutual diffusion interface with the nickel-plated layer. Reliable combination of gold, aluminum and nickel is achieved, meanwhile, a reliability evaluation method is provided, and therefore it is guaranteed that devices, circuits and the like adopting the ultrasonic bonding technology work reliably in the life cycle.

An X-ray inspection apparatus includes a conveying unit configured to convey an article, an X-ray source configured to irradiate the article with X-rays, a detection unit configured to detect the X-rays by photon counting, a threshold value setting unit configured to set a threshold value for discriminating the X-rays, an inspection unit configured to inspect the article on the basis of the X-rays transmitted through the article, the X-rays being detected by the detection unit, and a sensitivity correction unit configured to perform sensitivity correction of the detection unit on the basis of the X-rays not transmitted through the article, the detection unit is configured to discriminate and detect the X-rays into the two or more energy regions by using the threshold value, and the sensitivity correction unit is configured to perform the sensitivity correction when the threshold value setting unit changes the threshold value.