5498results about "Material analysis using wave/particle radiation" patented technology

The invention belongs to the technical field of nondestructive testing, and discloses a gold ore and iron ore metal content detection method. The method comprises the following steps: acquiring an XRF energy spectrum by using an X-ray tube, acquiring an LIBS spectrum by using double-pulse Nd: YAG laser, and acquiring a Raman spectrum by using a semiconductor laser; performing baseline correction on the LIBS spectrum, performing Savitzky-Golay smoothing pretreatment on the Raman spectrum, and respectively extracting three types of spectrum characteristics; constructing a physical constraint network model, inputting XRF, LIBS and Raman features, and then outputting the correction content, fusion weight and LIBS dominant factors of Fe / Au elements; and finally, through a dynamic weight fusion strategy, combining XRF, LIBS fusion weights and network output parameters, calculating to obtain the content of the gold ore and the content of the iron ore. The technical breakthrough of multi-element cooperative detection and complex matrix interference suppression is realized, and the detection precision of Fe and Au is effectively improved.

The invention discloses a quality detection method in a functionally graded material preparation process, and relates to the technical field of functionally graded materials.The quality detection method comprises the following steps that the temperature of a green body in the functionally graded material preparation process is collected, and green body temperature distribution data is obtained; performing real-time thickness measurement on the green body according to the green body temperature distribution data to obtain a green body thickness change curve; identifying an abnormal fluctuation section in the thickness change curve of the green body, and carrying out phase detection on a physical region with the abnormal fluctuation section of the green body to obtain regional phase composition data; performing internal defect scanning on the green body according to the regional phase composition data to obtain an internal defect map of the green body; performing quality evaluation on the green body based on the green body internal defect map to obtain a quality grade judgment result; according to the method, the ultrasonic flaw detection scanning range is guided based on the phase abnormal region, and high-resolution internal flaw detection can be performed on the high-risk region of the functionally graded material in a targeted manner.

The invention discloses a damping thermal insulation material performance evaluation method and system for a battery pack, and relates to the technical field of battery pack thermal management, and the method comprises the steps: extracting a calibration sample set, applying transient thermal excitation, and collecting an infrared thermal image sequence to extract thermal response features; performing industrial CT scanning to obtain defect quantitative indexes, and forming a calibration data set with the thermal response characteristics; establishing a quantitative correlation model based on the calibration data set, and determining a batch quality threshold according to model output distribution; executing the same excitation and collection on an online sample to be detected to extract the characteristics of the sample, inputting the model to obtain a defect quantitative prediction value, comparing the defect quantitative prediction value with a batch quality threshold, and outputting an evaluation result; when a preset period or a trigger condition is met, a new sample is supplemented and extracted, and newly added calibration data is obtained to update the model and the threshold value. According to the method, accurate material performance evaluation is provided by establishing a quantitative model of thermal response characteristics and defect quantitative indexes, and evaluation consistency and stability are enhanced through a dynamic updating mechanism.

This disclosure relates to a high-throughput, high-temperature in-situ X-ray absorption spectroscopy research device and its operation method. The device includes: a vacuum furnace module with an opening at the top, X-ray incident apertures and corresponding X-ray exit apertures with their optical axes aligned on two opposite sides, and a vacuum interface for connecting to an external vacuum pump on the other side; and a heating module that extends into and connects to the vacuum furnace module through the opening, including a sample holder, heating elements, and thermocouples. The heating elements and thermocouples are positioned adjacent to the sample holder and heat the sample holder and measure its temperature. The X-ray incident aperture and X-ray exit aperture have a combined shape of two upper and lower semicircles and a rectangle with a horizontal length equal to the diameter of the semicircles and a vertical length less than the diameter of the semicircles. The sample holder has multiple grooves for accommodating multiple sample chambers, and the grooves are surrounded by clearance slots.

The invention relates to the technical field of nuclear radiation imaging, in particular to a radiation array detector, a back scattering imaging system and a back scattering imaging method. The radiation array detector comprises an X-ray photon absorption structure which comprises high-strip-shaped scintillators and low-strip-shaped scintillators which are alternately arranged, the high-strip-shaped scintillators are used for detecting back scattering X-ray photons incident at all angles, the low-strip-shaped scintillators are used for accurately determining the incident direction of the X-ray photons through the collimation effect, and the high-strip-shaped scintillators and the low-strip-shaped scintillators are used for detecting the incident direction of the back scattering X-ray photons; after X-rays enter the photon absorption structure, the high-strip-shaped scintillators and / or the low-strip-shaped scintillators receiving X-ray photons generate scintillation photons. The silicon photomultiplier array is connected with the high strip-shaped scintillator and the low strip-shaped scintillator through a light guide and is used for converting scintillation photons into photoelectric signals; and the position and energy information coding circuit is used for carrying out position and energy information coding on the photoelectric signals generated by the silicon photomultiplier array. According to the invention, the detection efficiency and the direction identification capability of the back scattering X-ray can be effectively improved.

The invention discloses a soil water content inversion method based on improved combination roughness, and relates to the field of remote sensing, and the method comprises the steps: synchronously obtaining a Sentinel-1 radar image and a Sentinel-2 optical image, and extracting different polarization backscattering coefficients, local incident angles and normalized water body indexes through preprocessing; the method comprises the following steps: generating a bare soil simulation backscattering coefficient data set, removing vegetation scattering contribution by using a water cloud model, obtaining a real bare soil backscattering coefficient, constructing a training set and a verification set containing actually measured soil water content, constructing a lookup table based on double models, and calculating the water content of the bare soil by minimizing a root-mean-square error between simulation and the real backscattering coefficient. Global search is carried out in a preset parameter space to determine an optimal earth surface root mean square height and a correlation length, a novel polynomial combination roughness is constructed, a physical correlation between the roughness and a backscattering coefficient is established, a dual-polarization empirical equation set is constructed, and simultaneous solution is carried out after parameters are optimized according to a criterion; according to the method, a more reasonable inversion result of the soil water content in a large range can be obtained.

The invention relates to the technical field of purity monitoring and anomaly detection in the production process of ultra-pure zinc oxide, and discloses a purity anomaly detection method for production of ultra-pure zinc oxide. A disturbance direction coding vector is generated through time sequence segmentation and disturbance sensitivity mapping, and a collaborative structure embedding matrix is constructed based on channel weighting and time window fusion and used for representing a collaborative disturbance relation between monitoring channels; by taking the collaborative structure embedding matrix as input, carrying out structure frequency spectrum transformation and attributive suppression operation to obtain a diffusion disturbance structure response value; the diffusion disturbance structure response value serves as input, the disturbance direction gradient is calculated, a disturbance total variation mapping value is formed, and a disturbance anomaly probability value is generated in combination with local neighborhood average and deviation degree measurement; finally, a power logarithmic equilibrium loss function is adopted for optimization, and stable convergence and high-precision detection under multi-channel disturbance are achieved. The anomaly detection model provided by the invention can effectively perform purity anomaly detection on the ultra-pure zinc oxide production process.

This invention relates to a laboratory spectrometer, comprising: a base; a motion assembly disposed on the base; a radiation source assembly including an X-ray source and a mounting frame, the mounting frame being fixed to the base and the X-ray source being fixed to the mounting frame; a curved crystal assembly including a spherical curved crystal and a positioning frame, the spherical curved crystal being fixed to the positioning frame and the positioning frame being fixed to the motion assembly; and a detection assembly including a detector and a support frame, the detector being fixed to the support frame and the support frame being fixed to the motion assembly, the support frame also being used to fix a sample; the motion assembly is configured to move the spherical curved crystal, the sample, and the detector so that the X-ray source, the spherical curved crystal, and the sample are always aligned on a Rowland circle. In this laboratory spectrometer, the X-ray source is fixed, and only the spherical curved crystal, the sample, and the detector need to be moved during energy scanning, resulting in a stable optical path.

The invention relates to the technical field of industrial vision, in particular to a ceramic glazed tile internal defect detection method based on image recognition, which comprises the following steps: acquiring multi-modal data including an X-ray tomography sequence, a surface heat map, a visible light image and production process parameters; constructing a three-dimensional digital twin based on X-ray data, fusing surface image information, and utilizing a three-dimensional segmentation network to accurately identify three-dimensional geometric features of internal and underglaze defects; carrying out physical causal reasoning on the geometrical characteristics of the defects through the constructed defect-cause knowledge graph reasoning model, and intelligently matching and identifying the physical causes of the defects; targeted correlation analysis and traceability are performed in combination with physical causes and production process parameters, production links causing defects are accurately positioned, and a control instruction for optimizing production is generated. According to the method, closed-loop defect detection of'diagnosis-traceability-control 'is realized, the defect problem can be accurately positioned, and automatic decision support is provided for optimizing production and improving product quality.

The invention discloses a scanning electron microscope. The scanning electron microscope comprises a scanning electron microscope main body and a sample table located in a sample cavity, the scanning electron microscope main body is fixedly connected with the upper cover of the sample cavity, so that a closed space is formed in the sample cavity; a closed-loop groove is formed in an upper cover of the sample cavity; wherein the groove is located outside the connection position of the upper cover of the sample cavity and the scanning electron microscope main body, and the bottom of the groove is not higher than the supporting surface of the sample table; a magnetic shielding layer is arranged in the groove; wherein the length of the magnetic shielding layer is not less than the distance from the objective lens of the scanning electron microscope main body to the supporting surface of the sample stage.

The invention discloses an electroplating quality monitoring method, device and equipment for an MLCC capacitor and a medium, and relates to the technical field of MLCC capacitor electroplating. The electroplating quality monitoring method comprises the following steps: firstly, acquiring coating microstructure and ion migration data by adopting X-ray tomography and electrochemical impedance spectroscopy technologies, and performing defect classification in combination with appearance detection data; electroplating process parameters are obtained, and a multi-dimensional feature library is constructed through principal component analysis. Then based on a defect classification result and a feature library, training an improved random forest model to realize multi-defect prediction, screening key process parameters through sensitivity ranking, and establishing defect-parameter association; and then constructing an attribution model to analyze an influence mechanism of process parameters on defects. In actual production, real-time process parameters are input into the prediction model for online quality monitoring; and when defects appear, reversely tracing cause parameters through an attribution model. According to the method, a system of data acquisition, feature fusion, real-time monitoring and defect tracing is formed, and the electroplating quality can be effectively monitored.

The invention discloses a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment system and a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment method. The system comprises a gas-liquid mixed injection system, a Kr adsorption system, a visual triaxial core holder system, a CT scanning system and a tail gas analysis and treatment system. According to the experimental method, Kr similar to CH4 in dynamic diameter and other parameters is selected as a CT tracer to replace CH4, and 4D visualization of coal body internal pore and fracture structure evolution and Kr concentration field displacement migration process can be realized through three-dimensional reconstruction of CT images at different displacement moments and registration, gray correction and normalized concentration calculation of the images. The problem that the gas migration rule in the coal body in the displacement experiment is not clear is solved; the dynamic diffusion process inversion of the coal bed gas in the coal bed difficult to extract is realized by utilizing the distribution characteristic evolution of the Kr gas in the coal body, so that the in-situ coal body fissure structure in the coal sample and the dynamic migration law of methane in the displacement process are obtained, and the method has great significance for revealing the displacement development mechanism of unconventional natural gas such as the coal bed gas.

The invention relates to the technical field of angle-resolved photoelectron spectroscopy experimental instruments, and discloses an angle-resolved multi-electron coincidence measurement system and method based on an event-type delay line detector, and the system comprises an angle-resolved energy analyzer; a detection surface of the event type delay line detector is divided into at least two independent areas, and the event type delay line detector is used for receiving photoelectrons in parallel and independently outputting event signals; the external trigger and synchronization module is used for generating a unified trigger period to establish a global time reference; the time digital reading module is used for receiving the event signal and generating a timestamp; and the data acquisition and processing module is used for carrying out association judgment and selection based on the timestamps in the same triggering period. The dead time is reduced through multi-region parallel reading, unified time base calibration is achieved through time base line calibration and delay compensation, multi-electron coincidence measurement can be achieved under the condition that the angular resolution capability is kept, and the method is suitable for pulse or continuous light sources.

The invention discloses a method for quantitatively evaluating the CMAS corrosion resistance of a thermal barrier coating, which comprises the following steps: uniformly coating CMAS on the surface of the thermal barrier coating, and carrying out corrosion treatment according to set temperature and time; the corroded thermal barrier coating is subjected to longitudinal linear cutting, and the cut section is gradually ground and polished; sEM characterization is conducted on the polished cutting section, and an SEM image is shot for further quantitative analysis; based on the obtained SEM image, the corrosion depth of the CMAS in the thermal barrier coating is measured; selecting at least one identification area in the CMAS corrosion area, and calculating the area of the CMAS phase in each identification area; and calculating the corrosion degree C of the CMAS to the thermal barrier coating based on the proportion of the CMAS phase area in the identification area. The method is simple and easy to operate, the proportion of the area corroded by the CMAS in the corrosion area is introduced as a key evaluation index on the basis of corrosion depth measurement, and a unified, reliable and quantifiable standard is provided for objectively and quantitatively evaluating the CMAS corrosion resistance of the thermal barrier coating.

The invention provides a portable micro-beam X-ray fluorescence rapid detection method and system based on digital signal processing. The method comprises the following steps: firstly, constructing a micro-beam excitation parameter adaptive to a field environment, secondly, driving a micro-beam X-ray to irradiate a to-be-detected sample by using the micro-beam excitation parameter, synchronously obtaining an original fluorescence signal disturbed by the environment, then taking a dynamic adjustment amount as a calibration reference, and fusing the calibration reference and the original fluorescence signal to generate a combined data stream; then carrying out cooperative processing on the combined data stream through a digital signal processing technology, separating an environment disturbance component from a target fluorescence component, and finally generating a sample surface element distribution map based on the target fluorescence component. According to the technical scheme provided by the invention, the problems of morphology misalignment and dynamic noise interference caused by passive noise reduction design are solved, and the element detection reliability of complex morphology samples (such as soil blocks and cultural relic sections) is also improved.

The invention discloses a microscopic crack dynamic in-situ characterization method, and relates to the technical field of crack in-situ detection. According to the method, a plurality of hardened cement paste bodies are soaked in a sulfate solution, the porosity development trend of the hardened cement paste bodies is obtained through a nuclear magnetic resonance test and a mercury injection test in the soaking process, a test sample and a test sample are prepared after soaking is finished, and the crack propagation length of the test sample is measured through a scanning electron microscope. According to the distance gradient between the sampling angle of the test sample and the exposed surface, space coordinates of crack cracking are converted into a time process along the center axis of the test sample, a delay microscope is established on the microscale, and the test sample is scanned by using X-ray computed tomography equipment in a matched mode; a crack propagation animation image is formed based on a crack form between adjacent X-ray tomography slices, and a crack development process is obtained by continuously capturing high-resolution images, so that omission of time information is avoided, and in-situ detection of microscopic cracks in a hardened cement paste sample is realized.

The invention discloses a deep sea environment biaxial loading in-situ test system and method for industrial CT, the test system comprises a biaxial test bench, a deep sea environment box, a rotary table, a simulation seawater loop and an X-ray imaging unit, the deep sea environment box is arranged at the central position of the biaxial test bench, the biaxial test bench is arranged on the rotary table, the rotary table is arranged on the rotary table, and the X-ray imaging unit is arranged on the rotary table. And the X-ray imaging unit directly faces the biaxial test bench. In order to solve the problems that no effective means for simulating the complex stress and corrosion coupling environment of the deep sea environment exists at present, and key data such as chemical products in the corrosion process of marine materials under the complex stress cannot be obtained in situ, the invention provides a coupling biaxial in-situ loading device and a seawater corrosion environment simulation box. Simulation of a deep-sea complex stress state and a seawater corrosion environment is realized, a chemical product evolution rule in a stress corrosion process is obtained in situ based on a spectrum measuring instrument, and a technical foundation is laid for clarification of a corrosion failure mechanism of a material under a real deep-sea service condition.

The invention provides an in-situ real-time monitoring method and system for a rock microscopic fracture mechanism and stress evolution. The method comprises the following steps: S1, standardized preparation and pretreatment of a rock sample; s2, in-situ loading and multi-modal data synchronous acquisition are carried out; s3, crack dynamic tracking and stress-strain field joint calculation; s4, constructing a microscopic-macroscopic quantitative correlation and damage model; and S5, performing multi-dimensional dynamic visualization and engineering output. The in-situ scanning electron microscope and the mechanical loading device are integrated, so that cross-scale synchronous monitoring and quantitative analysis of micro crack evolution and macroscopic stress-strain response are realized. A low-disturbance clamping device and a conductive anti-charge sample are treated, and in-situ testing is ensured; combining DIC and deep learning to quantify a crack propagation path, a local strain field and energy characteristics; through DIC strain inversion and finite element calculation, a non-contact stress cloud picture is generated in real time, and finally quantitative correlation between a microscopic fracture mechanism and macromechanical response is established.

The invention relates to the technical field of metal wire processing, and discloses a high-performance metal wire plastic coating process for aerospace engineering, which comprises the following steps: carrying out base material type selection on a metal wire, and carrying out surface treatment of precise cleaning, etching and depth gradient activation; a Ti-Cr alloy and graphene-copper composite transition layer is deposited through a magnetron sputtering technology, and a multi-layer coating structure is formed through electrostatic spraying of a base coating, a fluidized bed dipping function layer and high velocity oxy-fuel spraying of a nano composite coating in sequence; the molybdenum-gold composite sealing layer is prepared by adopting an electric arc spraying technology, and is subjected to vacuum ultraviolet curing enhancement, high-temperature gradient annealing, gradient sintering and vacuum curing treatment; and heat radiation on the surface of the coating is enhanced through laser-induced micro-nano structure regulation and silicon nitride film sputtering. Through collaborative optimization of base material treatment, coating construction, function strengthening and quality control, the interface bonding strength, the comprehensive performance and the environmental adaptability of the spaceflight metal wire coating are remarkably improved, and the service life of the spaceflight metal wire coating is remarkably prolonged.

The invention relates to the technical field of high-pressure precise physical experiments, in particular to an irradiation sample table. A to-be-tested sample is placed on the sample table, and the second gland and the first gland are detachably connected to the sample table in sequence, so that the holes in the first gland and the second gland correspond to the to-be-tested sample. The size of the hole is smaller than the diameter of the to-be-detected sample, so that the radiation area is smaller than the diameter of the to-be-detected sample; moreover, the second gland is a ceramic gland and has good insulation performance, so that the situation that plasma directly bombards a sample table to generate an edge effect during irradiation, and adverse effects on judgment and separation of real particle flow density distribution borne by the surface of the to-be-detected sample are generated can be avoided. When samples of different sizes need to be replaced, only the first gland and the second gland which are provided with the open holes matched with the samples in size need to be replaced, operation is easy and fast, cost is low, and the experiment continuity and efficiency cannot be affected.

A geological analysis system, device, and method using x-ray fluorescence and spectroscopy are provided. The geological analysis system includes a sample tray which holds the geological sample materials, and sensors including an X-ray fluorescence (XRF) unit and spectrometer. The sample tray includes chambers formed in an upper surface, ports, and passages, each providing communication between an interior of a chamber and an interior of a port. The ports are configured to be attachable to vials. The system positions the sample tray with respect to the sensors for sensing one or more properties of geological sample materials in the sample tray.

The invention provides a coal rapid sampling and sample preparation detection system and a rapid detection method thereof. The system comprises a sampling module, a feeding and premixing module, a crushing and continuous forming module, a detection belt, a rapid detection module, a shunting and collecting module and a data processing and control center which are connected in sequence, the core of the method is that a divider in a traditional sample preparation process is thoroughly abandoned, and an original coal sample is continuously processed into a compact and flat strip-shaped coal belt at one time by innovatively integrating crushing and high-pressure forming procedures, so that an ideal surface is provided for subsequent nondestructive testing. The method is based on the system, and full-process automation from large-capacity sampling, continuous forming, rapid detection to selective collection is achieved. By simplifying the structure, the cost and the failure rate are remarkably reduced, the flow bottleneck is eliminated, minute-level fast detection is achieved, the detection model is continuously optimized through the homologous sampling detection and feedback learning mechanism, and finally the problems that equipment is redundant, the speed is lagged and the precision is insufficient in the prior art are solved.

The invention relates to the technical field of CT detection, and discloses a plane CT fan-beam projection filtering back projection reconstruction method and CT detection device.The method comprises the steps that S1, tilt geometric configuration parameters are determined according to the distance from a detector to a rotation center and a tilt angle, a sample rotating table is controlled to rotate, and the detector is triggered at each rotation angle to collect first projection data; s2, calculating a global three-dimensional coordinate of a detector pixel point under each rotation angle, and generating second projection data; s3, performing frequency domain filtering according to the thickness of the sample and the second projection data to obtain third projection data; and S4, calculating a ray intersection point coordinate from a reconstructed slice pixel point to a detector plane, and reconstructing the third projection data according to the ray intersection point coordinate to obtain a tomographic reconstruction image.According to the method, high-frequency detail features are reserved while noise is suppressed, the problem that a traditional fixed filtering kernel parameter is poor in adaptability to different samples is avoided, and the method is suitable for being applied to the field of image reconstruction. Therefore, high-precision three-dimensional imaging is realized.

The invention provides a method for measuring and calculating the article position of continuous silver ore with the particle size of 0.037 mm or above, and belongs to the technical field of mineral grade detection. The silver grade in the sample is measured and calculated through screening; leaching and measuring the content of silver monomers and continuous silver minerals, and reselecting to obtain a heavy sand product; carrying out fluorescent dyeing on the heavy sand product, and selecting monomer silver minerals; analyzing the color of the silver mineral through point scanning data of a scanning electron microscope, melting the monomer silver mineral to obtain the volume of the monomer silver mineral, and calculating the content of the monomer silver mineral; and carrying out conversion to obtain the continuous silver ore article position with the size of more than 0.037 mm. According to the method, the target mineral is rapidly and accurately obtained by adopting density medium reselection and fluorescent dye tracing; introducing a scanning electron microscope to measure and calculate the actual density of the silver mineral to replace the theoretical density, smelting the silver mineral in a mold, and carrying out volume measurement and calculation to obtain the actual metal amount closer to the actual silver mineral; measuring and calculating errors caused by impurities and irregular shapes of mineral particles are reduced; and the calculated grade of the silver mineral is more accurate.

The invention provides a method for determining microcosmic characteristic influence factors of a shale reservoir. The method comprises the steps of rock core observation, sampling and experiment, and lithofacies type division according to rock core observation and experiment results; performing characteristic evaluation on different types of lithofacies, and determining favorable lithofacies types; analyzing reservoir microscopic characteristics of different types of lithofacies; and according to an analysis result, determining factors influencing the microscopic characteristics of the reservoir. According to the method, favorable lithofacies and reservoir microscopic feature analysis can be comprehensively and effectively carried out, the evaluation accuracy is improved, and the accuracy is improved by 40% and reaches 90%; the working efficiency is improved, invalid work is avoided, the workload of two persons in 10 days is reduced to be completed by one person in 10 days, and lithofacies evaluation and reservoir microscopic feature influence factor analysis can be efficiently completed.

Provided is a charged particle beam device capable of shortening the acquisition time of a feature image. In this charged particle beam device, an image acquisition unit acquires a plurality of feature images by repeating: a process for selecting one mode from a plurality of modes for acquiring the feature images on the basis of the proportion of a region of a feature object in an acquired sample image in the field of view; and a process for acquiring a feature image in the selected mode, the plurality of modes including: a first mode in which a sample image is captured by scanning the sample at a first scanning speed, and the captured sample image is cut to acquire the feature image; and a second mode in which a sample image is captured by scanning the sample at a second scanning speed faster than the first scanning speed, and a feature image is captured by scanning a region of the feature object in the captured sample image at a third scanning speed slower than the second scanning speed.

The invention relates to the technical field of geotechnical engineering material modification and industrial solid waste resource utilization, in particular to an industrial solid waste curing agent formula screening method for salinized loess improvement, which comprises the following steps: constructing a curing system with different industrial solid waste (such as fly ash, slag and steel slag) composite proportions, identifying the salt type and salt concentration of salinized loess, and determining the salt concentration of the salinized loess. The method comprises the following steps: preparing, maintaining and curing a sample, carrying out unconfined compressive strength test and X-ray diffraction (XRD) analysis, extracting peak areas of main reaction products, and calculating a structure-performance coupling mechanism index Mi = S / f7 (S is the XRD peak area, and f7 is the compressive strength of 7 days). The Mi value and the 28-day strength are used as judgment criteria, and a preferable formula with good structural product master control and strength development is screened out. The screening method provided by the invention has the advantages of distinguishable mechanism, quantifiable index, generalizable process and the like, and is suitable for formula design and engineering application of the industrial solid waste-based curing agent under the conditions of different salt concentrations and ion types.

The invention provides a lithium ion battery defect detection method and system, and relates to the field of battery manufacturing and quality inspection, the method comprises the following steps: acquiring and preprocessing a CT scanning image and infrared thermal imaging data of a lithium ion battery to obtain multi-modal fusion data; performing multi-modal feature extraction based on the multi-modal fusion data to obtain a fourth feature; and based on the fourth feature, obtaining a detection defect log of the lithium ion battery. According to the method, the limitations of low precision, difficulty in type distinguishing, dependence on manual judgment and the like in the aspect of identifying the internal structure defects of the battery in a traditional method are overcome, the accuracy, the automation degree and the result traceability of defect detection are improved, and the method is suitable for high-precision defect detection scenes in links such as lithium ion battery production manufacturing and quality detection.

The invention discloses a carbon dioxide seepage dominant channel judgment and permeation enhancement effect evaluation method and system, and the method comprises the following steps: obtaining three-dimensional image data through the three-dimensional CT scanning of a rock sample before and after a CO2 mineralization storage experiment reaction, extracting a crack network as a topological structure center line skeleton, calculating the topological indexes of a network structure, and calculating the permeability enhancement effect of the network structure; a fracture network topological structure model constructed based on a graph theory is coupled with a discrete fracture network model for CO2 flow simulation, an equivalent permeability tensor is obtained, an improved Dijkstra shortest path algorithm is adopted, spatial distribution of CO2 seepage dominant channels is obtained, dominant channel characteristics before and after transformation are compared with the equivalent permeability tensor, the seepage enhancement effect is quantitatively evaluated, and the CO2 seepage enhancement effect is obtained. And changing injection conditions to perform multi-group simulation under different working conditions, calculating the seepage enhancement effect and the mineralization reaction rate under different injection conditions, establishing a quantitative evaluation model of the mineralization sealing permeation enhancement effect, and realizing sealing effect prediction and seepage enhancement effect evaluation.

Systems and methods for measuring the content of an element in a soil comprises: a neutron source for irradiating the soil with neutrons; a detector assembly configured to detect an INS gamma spectrum of the soil; an instrument for measuring a moisture content of the soil; and a processor in communication with the detector assembly, the processor configured to: apply a moisture calibration coefficient to calculate a net peak area of a characteristic peak of the element in the INS gamma spectrum, the moisture calibration coefficient calculated to account for the moderation of fast neutrons by hydrogen atoms of water present in the irradiated soil at the location under analysis; and generate a concentration of the element in the soil. The instrument for measuring a moisture content of the soil may comprise the detector assembly. Systems and methods incorporating a temperature-controlled housing for the gamma detector assembly are also provided.