913results about "Nuclear radiation detection" patented technology

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 provides an electric logging data normalization processing method and equipment based on X-ray diffraction (XRD) mineral constraint, and belongs to the field of petroleum logging engineering.The method comprises the steps that test data of mineral composition parameters and cable logging data of rock physical property parameters are obtained, and the mineral composition parameters at least comprise rock mineral composition obtained through X-ray diffraction testing; based on the test data of the mineral composition parameters, determining calculated values of the rock physical property parameters by utilizing a volume summation method; judging whether the calculated value of the rock physical property parameter is completely matched with the cable logging data of the rock physical property parameter or not; if the judgment result is incomplete matching, performing normalization processing on the cable logging data of the rock physical property parameters based on the calculated values of the rock physical property parameters; otherwise, the normalization processing is not carried out. Through the method provided by the invention, all system errors of the cable test data can be reduced, so that the cable logging information can more accurately reflect the physical properties of underground rocks.

The invention discloses an azimuth gamma testing device and application, and belongs to the technical field of oil and gas logging equipment, the testing device comprises a PC, a rotating table, a rotating table motor, a motor driver, a rotating speed operator, a conductive slip ring and a stabilized voltage supply, the rotating table is sleeved with a rotating disc, and the rotating disc is fixedly connected with a laser; a dial is fixedly connected to the outer circumference of the rotating disc, one end of the rotating table is connected with the rotating table motor, the other end of the rotating table is connected with the conductive slip ring, the conductive slip ring is electrically connected with the azimuth gamma instrument to be measured, the azimuth gamma instrument to be measured is electrically connected with the stabilized voltage supply and the PC, and the rotating speed operator is electrically connected with the motor driver. The motor driver is connected with the rotary table motor, a photoelectric sensor is fixedly connected to the rotary table, and the photoelectric sensor is electrically connected with the azimuth gamma instrument to be detected. According to the invention, double evaluation of the azimuth measurement precision and the pulse counting time correctness of the azimuth gamma instrument can be accurately checked.

It is therefore the objective of the present invention to provide a system and a method for 2D and 3D density imaging using atmospheric ( cosmic) particles, in particular muons, that offer a wide range of detection abilities. This objective is achieved according to the present invention by a detection system for 2D and 3D density imaging of an object using atmospheric (cosmic) particles, in particular muons, penetrating said object, comprising the following components : i ) a particle detection subsystem ( PDS ) comprising a particle detection apparatus; said particle detection apparatus comprising a plurality of monolithic active semiconductor diode detection layers, preferably a plurality of depleted monolithi active semiconductor diode detection layers, said layers extending along a detection axis that corresponds to an axis of interest in terms of the direction of incoming particles after the penetration of the object; and ii ) an evaluation subsystem being enabled to determine the special and temporal detection of the collision events of the particles within the various (depleted) monolithic active semiconductor diode detection layers thereby enabling the evaluation subsystem to determine the direction and the time of the incoming particles. Therefore, the present invention provides for the novel use of semiconductor (D) MAPS in a very high resolution and simplified ( integrated) muon radiography system. Multiple layers of semiconductor pixel or strip detectors are combined to construct a low-power portable muon radiography system. The various monolithic semiconductor diode layers of a semiconductor detector allow for reconstruction of the particle trajectories and use the angular information to measure the amount of matter traversed by particles coming from different angles.

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 techniques as described herein enhance the accuracy and precision of mineralogy analysis in elemental spectroscopy logging by utilizing oxide standards and / or rock-forming mineral compounds as reference materials that provide more representative and realistic signatures of geological formations. A method comprises logging a wellbore with a tool and fitting reference spectra from oxide compounds and / or rock-forming mineral compounds against measured gamma spectra obtained with the tool, to characterize a subterranean formation that the wellbore extends through.

The invention discloses a coal mine goaf ignition area detection method, which belongs to the field of coal mine safety, and comprises the following steps: S1, delimiting a detection area; s2, delimiting a target measuring point; s3, defining a reference measuring point; s4, calibrating coordinate information of the measuring points; s5, measuring the radon value of the measuring point; radon value measurement is carried out on each reference measurement point, and an average value is taken as a local radon value reference value and is recorded as K; a radon measuring instrument is adopted to measure radon values of all the target measuring points, the radon values are recorded as L, and coordinate information of all the target measuring points and a corresponding radon value data table are drawn; s6, defining a fire area detection range; importing the data table into drawing software, generating a radon value contour map, and dividing the radon value contour map into three grades of fire areas according to different radon value intervals, namely an I area and an extremely easy fire area, L being greater than 5K; in the second zone, L is greater than or equal to 2K and less than or equal to 5K in a medium ignition zone; and the third area is a difficult-to-ignite area, and L is less than 2K. According to the method, the radon value abnormal region is accurately delimited through the radon value contour map, and a basis is provided for accurate positioning of a goaf fire source.

The invention discloses a muon track reconstruction method and imaging method based on a muon detector, and the method comprises the following steps: S1, according to the numbers of a first scintillator, a second scintillator and a third scintillator hit by the muon in any muon breakdown event, determining the number of the first scintillator, the number of the second scintillator and the number of the third scintillator; determining azimuth angles of the first scintillator, the second scintillator and the third scintillator hit by the muon; s2, according to the azimuth angle of the first scintillator hit by the muon, the x-axis coordinate value and the y-axis coordinate value of the incidence point and the emergence point of the muon are determined; according to the azimuth angle of the second scintillator hit by the muon and the azimuth angle of the third scintillator hit by the muon, respectively determining z-axis coordinate values of an incidence point and an emergence point of the muon; and S3, determining the track of the muon according to the x-axis coordinate value, the y-axis coordinate value and the z-axis coordinate value of the incidence point and the emergence point of the muon. Compared with the prior art, the method has the advantages that the accuracy of z-axis positioning is remarkably improved while high detection efficiency is kept, so that the accuracy of muon track reconstruction and ore body imaging is 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 a portable X-ray back scattering security check system based on AI image enhancement. The system belongs to the technical field of radiation imaging, and comprises a sensing unit used for sensing physical situation information in an imaging process so as to generate time-sequenced physical prior data; the prediction unit is used for predicting a future scanning behavior based on the physical prior data to generate a feed-forward control instruction and prediction confidence; the regulation and control unit is used for adaptively regulating and controlling scanning parameters based on the feedforward control instruction and recording execution information including regulation and control residual errors; and the AI reconstruction processor is used for performing enhanced reconstruction on the original X-ray image based on the physical priori data, the prediction confidence and the execution information. By constructing an intelligent closed loop of perception, prediction, regulation and control and reconstruction, physical uncertainty information in the imaging process is quantized and used for guiding AI reconstruction, so that the problem of information fault between physical acquisition and digital reconstruction is solved, and the quality and reliability of a final image are improved.

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.

A system and a method for a pulsed neutron logging tool. The pulsed neutron logging tool may include a pulsed neutron generator for generating one or more neutrons, one or more gamma ray scintillator detectors disposed in a detection area, a shielding block that separates the pulsed neutron generator from the one or more gamma ray scintillator detectors, and a shielding layer. The pulsed neutron logging tool may further comprise an information handling system communicatively connected at least in part to the pulsed neutron logging tool. The information handling system is configured to create a gamma ray spectrum from the one or more gamma rays detected by the one or more gamma ray scintillator detectors, remove a background from the gamma ray spectrum to form a peaks-only spectrum, and compare one or more peaks-only elemental standards to the peaks-only spectrum to determine an elemental weight and yield.

An x-ray imaging apparatus includes a holdable housing; an x-ray source mounted within the housing and configured to output a fan beam of x-rays; and a hoop chopper wheel rotatably mounted within the housing and comprising an x-ray attenuating material configured to block x-rays of the fan beam. The hoop chopper wheel defines a set of beam apertures of which each aperture is configured to pass therethrough a corresponding angular portion of x-rays from the fan beam, so that rotation of the hoop chopper wheel causes scanning of the corresponding angular portion of x-rays. The x-ray source may be a transmission-type x-ray tube configured to output the fan beam centered in an x-ray extraction direction forming an angle greater than 0 degrees with respect to a longitudinal axis of the x-ray tube.

The invention provides a gold mineral exploration method, device and system and a storage medium. Relates to the technical field of mineral exploration. The gold mineral exploration method comprises the following steps: acquiring a backscattered electron image of a sample to be detected, and screening bright mineral phase particles based on a preset gray threshold; performing energy spectrum analysis to obtain an actually measured energy spectrum corresponding to each bright mineral phase particle; and determining the gold-bearing minerals in the to-be-detected sample according to the actually measured energy spectrum. According to the method provided by the invention, the gold-bearing mineral is determined by analyzing the actually measured energy spectrum, and the identification accuracy and the automation efficiency of the micro-fine gold are improved; the method can effectively solve the problem of missed judgment caused by energy spectrum signal mixing and low matching degree due to fine or wrapped particles in a traditional method, so that more accurate process mineralogy data is obtained, and a reliable basis is provided for formulating an efficient dressing and smelting recovery scheme.

The invention discloses a channel pruning and self-distillation lightweight YOLOv8 improved model for X-ray contraband detection, which can significantly reduce the complexity of the model while ensuring the detection precision, and belongs to the field of intelligent security check. The method comprises the steps that an X-ray luggage contraband data set is preprocessed, training is carried out based on a YOLOv8 model, sparse training, channel pruning, fine adjustment and self-distillation operation are carried out in sequence, and effective compression and performance improvement of a model structure are achieved. Through the above steps, the obtained model can still maintain high detection precision and real-time performance while greatly reducing parameter quantity and calculation quantity, and is suitable for an X-ray security check scene of embedded equipment with limited resources or an edge computing platform. The intelligent level and the operation efficiency of the security check system can be improved, efficient simplification and rapid reasoning of the model are realized, and the method has a good application prospect.

A method of determining downhole formation oil saturation and three-phase holdup is described. The method includes lowering a pulsed-neutron logging tool downhole with a near detector and a far detector. The method further includes measuring a carbon to oxygen ratio from the near detector, measuring a carbon to oxygen ratio from the far detector, measuring a ratio of inelastic count rates, and plotting the measured ratios in a prismatic grid. The method further includes visualizing the fluid volumetrics around the pulsed-neutron logging tool.

The invention provides an automatic sorting system and method for security check articles, and relates to the technical field of security check, and the system comprises a sensor processing module which is used for obtaining the shielding time ratio of an infrared sensor; the image acquisition module is used for acquiring first image information, second image information and target X-ray image information; the first processing module is used for inputting the second image information and the target X-ray image information into a first twin network to obtain a first similarity metric value; the second processing module is used for inputting the second image information and the first image information into a second twin network to obtain a second similarity metric value; and the sorting module is used for obtaining a fusion discrimination coefficient according to the infrared sensor shielding time ratio, the first similarity measurement value and the second similarity measurement value, and sorting the security check articles based on the fusion discrimination coefficient. According to the invention, the security check efficiency and quality are improved.

An X-ray inspection device includes a filter unit configured to reduce a portion of energy included in the X-rays transmitted through an article, a sensor unit including a plurality of detecting elements configured to detect each of a first X-ray transmitted through the article and a second X-ray transmitted through the article as well as the filter unit, an image generation unit configured to specify the detecting elements detecting the first X-ray and the second X-ray respectively from among the plurality of detecting elements detecting the X-rays in the sensor unit, and generate a first image based on the first X-ray in a first energy band and a second image based on the second X-ray in a second energy band in accordance with a specification result, and an inspection unit configured to inspect a quality of the article based on the first image and the second image.

Described herein are a computed tomography scanning system for inspecting an object and methods incorporating the same. The system includes an imaging assembly including a frame positioned within an underground chamber below a ground surface, a platform coupled to and translatable with respect to the frame, and a stage coupled to and rotatable with respect to the platform. The platform is translatable to raise the object above the ground surface and lower the object below the ground surface when the object is on the stage. The imaging assembly also includes an X-ray source fixed with respect to the frame and configured to emit radiation that is attenuated by the object as the platform translates and the stage rotates, and an X-ray detector fixed with respect to the frame, the X-ray detector configured to detect the radiation transmitted through the object and generate a signal representative of the transmitted radiation.

The invention belongs to the technical field of nuclear logging data processing, and particularly relates to a neutron detector pulse signal intelligent discrimination method and system based on deep learning, and the method comprises the following steps: collecting a pulse signal outputted by a detector, and when the rising edge of the pulse signal is detected to exceed a preset ground noise threshold value, determining the pulse signal; intercepting a time sequence containing the complete pulse signal, and carrying out normalization processing on the time sequence to obtain a normalized dimensionless voltage sequence; and calculating a first-order difference absolute value of adjacent sampling points in the dimensionless voltage sequence, and carrying out weighted calculation in combination with the time distance from the current sampling point to the peak moment to obtain a waveform oscillation entropy index representing the waveform microcosmic oscillation degree. According to the method, more than 98% of neutron tube ignition interference can be effectively eliminated, the high-energy part of the energy spectrum is remarkably purified, and the problem that data of the aged neutron tube are unavailable is solved.

The invention discloses a nuclear logging gamma-ray spectrum drift correction method based on multi-element characteristic peaks, and belongs to the technical field of nuclear geochemical logging. The method aims at solving the problems that due to the underground high-temperature and high-pressure environment, short-time measurement statistical errors and stratum lithology changes, drift of the relation between channel addresses and energy is caused, and energy spectrum analysis precision is affected. According to the key points of the technical scheme, the method comprises the following steps: preliminarily identifying characteristic gamma ray peak positions of four elements of H, Fe, Si and Ca; a real peak position is approached through interpolation secondary search; calculating zero-cut drift distances and gain change rates of Fe, Si and Ca peak positions by taking the H peak as a reference; weighting according to each peak standard error to obtain a final correction parameter; and re-graduating the energy spectrum by using the parameter to realize the automatic correction of the relationship between the channel address and the energy. The method is mainly used for improving the spectrum unfolding precision and the automatic processing capacity of the instant gamma-ray energy spectrum in geochemical logging, and is suitable for stratum element analysis in oil-gas exploration.

A flexible muon detector for inspecting an object has: a continuous scintillator film (102) for detecting incident muons by generating photons; photomultipliers (104) discretely distributed across a face of the continuous scintillator film, which are configured to optically connect to the continuous scintillator film. The discrete photomultipliers (104) are arranged to detect the generated photons and generate corresponding electrical signals; and flexible electronics (106) electrically connected to the photomultipliers so as to receive the generated electrical signals.

The invention relates to the technical field of human body security check, in particular to a human body security check device. A human body safety inspection device comprises a safety inspection frame and a detection assembly arranged on the safety inspection frame, the detection assembly comprises an X-ray emitter and a detector, and the detector is located on the opposite side of the X-ray emitter and forms a penetrating type detection path. The device has the advantages that the X-rays have penetrability, the detector can receive the X-rays penetrating through the human body and convert the X-rays into electronic information, so that articles carried by the human body are analyzed, the detection range is wider due to the arrangement of a penetrating type detection path, various types of articles, especially non-metal dangerous articles, can be detected, and the detection efficiency is improved. The accuracy and comprehensiveness of security check are improved, the system does not depend on artificial experience, and the possibility of leak detection is reduced.

The invention relates to the technical field of logging equipment, in particular to a density logging instrument structure and an assembling method.The density logging instrument structure comprises a logging instrument shell, a column body and a gravity center deviation part, the gravity center deviation part enables the gravity center of the shell to deviate to one side of a well wall, a containing cavity is formed in the gravity center deviation part, and a shielding body is arranged in the cavity; the shielding body is provided with a first mounting hole for mounting a radioactive source and a radiation hole, a radioactive source protection piece is arranged in the radiation hole, a gravity center deviation part is provided with a protection cover plate, and a ray window cover plate opposite to the radiation hole is arranged on the protection cover plate; the invention further comprises an assembling method of the structure, such as the steps of fixing the shielding body, plugging the protection piece, installing the radioactive source, installing the protection cover plate and the like. The technical effects that the gravity center of the logging instrument structure deviates to one side of the well wall, the logging instrument can make contact with the well wall surface for measurement conveniently, the assembling method is safe and convenient, and the radioactive source can be effectively protected are achieved.

The present disclosure provides a kind of training method, device and image decomposition method of image decomposition model, which can be applied to image processing technical field.The training method of the image decomposition model includes: obtaining training set, inputting first training image into first adversarial neural network, inputting second training image into second adversarial neural network, determining first loss function value;Third training image is input into first adversarial neural network and second adversarial neural network respectively, and second loss function value is determined;For the comparison result of the obtained fusion image and third training image, third loss function value is determined, and the fusion image is generated according to the fusion of the generated image of first adversarial neural network and second adversarial neural network;According to first loss function value, second loss function value and third loss function value, the parameters of image decomposition model are adjusted until the training termination condition is met, and first loss function, second loss function and third loss function satisfy preset weight relationship.

The invention provides radiation inspection equipment which comprises a bearing flat plate which is fixedly arranged, extends in the first horizontal direction and is used for bearing an inspected object; the movable supporting frame is movably arranged in the first direction and comprises a bottom frame body located below the bearing flat plate; the scanning system comprises a radiation device and a detection device, the radiation device is arranged on the movable supporting frame and comprises a top radiation source, the detection device comprises a bottom detector arranged on the bottom frame body, and the bottom detector is configured to receive transmission rays which are emitted by the top radiation source and penetrate through the inspected object; at least one part of the movable bearing mechanism is movably arranged in the first direction, the movable supporting frame is connected with the movable supporting frame, and at least one part of the bearing flat plate is borne on the movable bearing mechanism; and the driving device is in driving connection with the movable bearing mechanism and / or the movable supporting frame and is configured to drive at least one part of the movable bearing mechanism and the movable supporting frame to move in the first direction.

A method in a media processing device includes: determining an attribute of a radiofrequency (RF) tag associated with a media supply; receiving a command to write first data to the RF tag; determining whether the first data and the RF tag are compatible based on the attribute; when the first data and the RF tag are incompatible, modifying the first data to generate modified data compatible with the RF tag based on the attribute; and writing the modified data to the RF tag.

According to an embodiment, an X-ray imaging device includes an irradiator, an exposure switch device, and a control device. The irradiator irradiates a subject placed on a bed with X-rays. The exposure switch device receives an operation of an operator related to X-ray irradiation. The control device controls the X-ray irradiation based on the X-rays. The exposure switch device includes a switch and an output. The switch is set on the basis of a position of the operator and detects the operation of the operator. The output outputs an operation signal based on the operation of the operator to the control device when the operation of the operator has been detected by the switch.