19 results about "Nondestructive analysis" patented technology

The invention provides a nondestructive analysis method and system of a battery module, electronic equipment and a storage medium, and relates to the technical field of battery detection, the method comprises the following steps: obtaining experimental data of a single cell corresponding to the battery module to construct a state-of-charge-voltage characteristic curve of the single cell under different battery health states; acquiring voltage data of each single cell in the standing stage in the actual operation process of the battery module and capacity data of the battery module; matching the charge state-voltage characteristic curve according to the voltage data, and carrying out linear interpolation calculation to obtain cell capacity data of each single cell; obtaining battery cell capacity data of each single battery cell of the battery module under each cycle number to construct a capacity attenuation trend chart of each single battery cell; and analyzing the capacity attenuation degree of the battery module and the capacity attenuation degree of each single battery cell according to the capacity attenuation trend chart to obtain the influence of the inconsistency of the single battery cells on the battery module. According to the invention, the detection efficiency and performance of the battery module can be improved.

The utility model relates to the technical field of semiconductor wafer detection, in particular to an X-ray nondestructive analysis device. The X-ray nondestructive analysis device comprises a shell, an objective table, a frame body, a detector and a laser marking device, wherein the objective table is located in the shell, and the objective table is in sliding connection with the bottom of the shell; the stage is configured to place a sample. The frame body is located in the shell. The detector is in sliding connection with the frame body, the detector is erected right above the objective table, and the detector is configured to detect the internal structure of the sample. The laser marking device is arranged above the detector, the laser marking device and the detector are coaxially arranged, and the laser marking device is configured to perform laser marking on the surface of the sample. According to the X-ray nondestructive analysis device, the working efficiency of grinding and sample preparation can be improved, time and labor are saved, and the purpose of saving cost is achieved.

The present invention provides a multi-dimensional nuclear magnetic resonance method for rapidly evaluating organic matter in shale. The method includes the following steps: designing a nuclear magnetic resonance pulse sequence and collecting data to obtain nuclear magnetic resonance data; processing the nuclear magnetic resonance data to obtain T<subgt;1< / subgt>-T<subgt;2< / subgt;<supgt;*< / supgt> imaging; interpreting the nuclear magnetic resonance data and correlating it with organic matter. Further, a device for rapidly evaluating organic matter in shale is provided. This application can rapidly evaluate the distribution and overall content of organic matter in shale, and can provide rapid imaging for nuclear magnetic resonance instruments with different field strengths and different configurations, and is used to precisely measure the organic matter content and spatial distribution in samples of tight shale oil and gas reservoirs. This application can rapidly and non-destructively analyze to obtain the T<subgt;1< / subgt> and T<subgt;2* values and imaging results of tight shale samples, and further can characterize important information such as the internal structure, micropore characteristics, and occurrence status of saturated fluids in the samples, and has important application value in the analysis of complex samples in unconventional oil and gas reservoirs.

In order to solve the industrial problem of compound quality control of rare traditional Chinese medicinal materials (especially from plants), rapid and nondestructive quantitative analysis of compound components is realized, and the limitations of great destructiveness and low efficiency of a traditional method are overcome; the invention discloses a quantitative detection method based on a terahertz time-domain spectroscopy (THz-TDS) and a one-dimensional truncation penalty feature screening algorithm (1D-TPFS) combined support vector regression (SVR) model. According to the method, ginseng-radix angelicae compound mixed powder is used as an analysis model, and a series of samples with different component proportions (0%-100%, mass fraction) are prepared. The method solves the problems that a traditional feature screening method cannot effectively balance the contradiction between information retention and redundancy suppression, the PLSR model is limited by linear hypothesis, and the prediction precision is relatively low. The research proves that the strategy based on THz-TDS and 1D-TPFS-SVR provides a new method for rapid nondestructive analysis of the component content of rare traditional Chinese medicinal materials and compound preparations thereof, and has important significance for guaranteeing the quality stability of traditional Chinese medicines and market supervision.

The application discloses a method for identifying the authenticity of red printing oil fingerprints on documents. The method comprises the following steps: performing X-ray spectrum analysis on red printing oil lines in red printing oil fingerprints on the document to be identified; when characteristic peaks of handprint substances exist in the spectrum, it is determined that the red printing oil fingerprints are authentic; the characteristic peaks of the handprint substances include characteristic peaks of K and Na. The application provides a new method for identifying red printing oil fingerprints on documents, specifically uses scanning electron microscope (SEM) imaging technology and X-ray spectrum analysis technology to perform component testing on red printing oil fingerprints on documents; when the red printing oil fingerprints contain K, Na and Cl, which are main inorganic component elements, the distribution of the component elements can be determined as authentic red printing oil fingerprints; the method can identify the authenticity of red printing oil fingerprints and can realize nondestructive analysis.

The present invention discloses an apparatus and method for inspecting furnace catalyst tubes. The apparatus comprises two eddy current sensors consisting of an eddy current excitation coil and a Hall-effect sensor, the second of which also includes a yoke with permanent magnets positioned on its sides. The permanent magnets cause an external surface layer of oxides on the surface of the tubes to become magnetically saturated, allowing the eddy currents generated by the second sensor to penetrate into the interior of the tube wall. In this way, eddy current data is obtained from the interior of the tube wall by the second sensor and from the tube surface by the first sensor. This data is processed by an analysis element, preferably including pre-trained artificial intelligence, to determine the aging state of the tube based on the data obtained by the sensors.This allows for non-destructive analysis of the pipe's aging state in real time. The hybrid probe can be used manually to determine the aging state of a specific point on a pipe, or in an automated inspection, where an autonomous mobile device guides the probe along the pipe, allowing the longitudinal profile of the aging states to be determined in real time.

The application discloses a coal quality multi-element nondestructive analysis method based on a compact D-D neutron source, relates to the technical field of nondestructive testing, and solves the technical problem that the existing neutron activation analysis technology based on a nuclear reactor cannot quickly and accurately detect the content of each element in a coal sample due to high equipment cost, large size and complicated operation; the application prepares elemental samples of each element, collects pure gamma energy spectrum of the elemental samples by using a gamma detector, and constructs a single-element spectrum matrix; a simulated coal sample is prepared, and its pure gamma energy spectrum is obtained; based on the single-element spectrum matrix and the pure gamma energy spectrum of the simulated coal sample, the content of elements in the simulated coal sample is analyzed; the content of elements when the simulated coal sample is prepared is compared with the content of elements in the simulated coal sample obtained through analysis, and a test method for coal quality element information in reality is determined; and the application realizes quick and accurate detection of the content of multiple elements in a coal sample, which is crucial for the development and utilization of coal resources.

This creep life prediction method comprises: a first nondestructive damage degree identifying step in which nondestructive analysis is used to identify, as a first nondestructive creep damage degree, a creep damage degree of a target steel material at a first time, the target steel material being subjected to remaining life prediction; a first rupture time identifying step for identifying, as a first Larson-Miller rupture time, a creep rupture time of the target steel material at the first time by applying, to a regression equation prescribed by the Larson-Miller method, a first stress imparted to the target steel material until the first time and a first temperature of the target steel material until the first time; and a degree-of-divergence identifying step for identifying a degree of divergence, which is a correction value for the first Larson-Miller rupture time, on the basis of the first Larson-Miller rupture time and a first nondestructive rupture time which is a creep rupture time at the first time calculated from the first nondestructive creep damage degree.

The present invention relates to a system and method for non-destructive analysis of jewels, precious metals, ornaments, and stones using an integrated Al-based evaluation system. The system comprises a sample holding tray (1) and an enclosure system housing an X-ray fluorescence (XRF) spectrometer (5) and a thermal imaging camera (3), wherein either or both components are rotatable at specific angles, including 30, 60, or 360 degrees, to facilitate comprehensive multi-angle analysis. A 3D imaging camera (2) captures structural details, while the thermal imaging camera (3) detects heat distribution patterns for identifying internal defects. The XRF spectrometer (5) determines elemental composition by analyzing fluorescence emissions. A 360-degree rotating motor (6) enables controlled movement of the sample tray (1) and / or enclosure system. An Al -based computational module processes acquired data for classification, authentication, and valuation. A digital storage unit maintains records, including 3D models, ensuring precise, automated, and non-destructive evaluation.

The application relates to a battery detection method, device and equipment based on X-ray nondestructive analysis, a storage medium and a program product. The method comprises the following steps: obtaining process characteristic information of a target battery to be detected, and determining a target X-ray nondestructive detection strategy for the target battery according to the process characteristic information; performing feature point identification on a reference battery of the target battery to obtain feature point information of the reference battery, and determining detection parameters according to the feature point information; performing X-ray nondestructive detection on the target battery and the reference battery based on the target X-ray nondestructive detection strategy and the detection parameters to obtain a first X-ray image of the target battery and a second X-ray image of the reference battery, and determining a detection result of the target battery according to the first X-ray image and the second X-ray image, wherein the detection result is used for representing whether the target battery is a genuine battery. The method can improve the efficiency of battery authenticity detection.

The invention provides a chip packaging condition nondestructive analysis system and method based on microscopic detection, and relates to the field of intelligent analysis, and the method comprises the steps: firstly obtaining an original visible light image and an original infrared image sequence, and carrying out the image preprocessing and spatial registration, so as to ensure that information from different light sources and different depths can be mutually correlated in space; secondly, key visual features representing the surface state and the internal structure of the chip are extracted, refined and enhanced, and therefore the distinguishing capacity and robustness are improved; and finally, organically fusing the processed and enhanced surface and internal features, automatically identifying and judging the packaging state of the chip through a trained intelligent classifier, and giving specific categories (such as normality, cavities, cracks and the like) and the reliability degree thereof, so that the packaging quality of the chip is evaluated on the premise that the chip is not damaged.

The present application relates to the technical field of chip package aging test, in particular to a kind of aging test method of multi-chip package.The present application is related to the abnormal characteristics of real-time analysis current waveform and is associated with high-resolution temperature distribution change, and then realize before calculating core particle completely failure, accurately determine its " near scrap period " state, so that test system can actively stop aging test to critical device, avoid sample damage or burn due to excessive failure, preserve complete, valuable sample for subsequent nondestructive analysis, secondly, the present application adopts the strategy of current and thermal imaging data fusion analysis, through the double criterion of " current abnormal risk value " and " temperature deterioration index ", greatly reduce the misjudgment and omission caused by single parameter monitoring, first through current abnormality lock suspicious computing core particle, then determine the temperature deterioration index of suspicious computing core particle, temperature is the main factor leading to computing core particle failure.

The invention provides a chemical reaction chip, a preparation method and application thereof, and a method for detecting amino acid and identifying an amino acid sample based on image vision, and belongs to the technical field of analysis and detection. The chemical reaction chip provided by the invention comprises a substrate and reaction units distributed on the substrate in an array, the reaction units are loaded with chemical reaction reagents and a color developing agent, and the chemical reaction reagents comprise at least two of CuCl2, Na2S2O3 and tartaric acid. Specific chemical reaction reagents are adopted in the chemical reaction chip provided by the invention and have a good interaction effect with the amino acid, and on the basis, the chemical reaction chip is combined with an image visual analysis technology to develop a novel high-throughput amino acid analysis method; all information of the amino acid sample can be rapidly obtained at a time, and a new strategy is provided for low-cost, rapid, accurate and nondestructive analysis of the amino acid.

The invention discloses a Terahertz time-domain spectroscopy-based tobacco shred blending proportion nondestructive testing method. The method comprises the following steps: respectively preparing single-component tobacco shred samples of cut leaves, cut stems and cut thin sheets; constructing a plurality of groups of tobacco shred mixing systems according to a preset mass ratio gradient to obtain a plurality of groups of mixed tobacco shred samples; obtaining terahertz time-domain spectroscopic data of single-component tobacco shred samples of the cut leaves, the cut stems and the sheet shreds and each group of mixed tobacco shred samples; according to the spectral response difference of the terahertz time-domain spectral data of each group of mixed cut tobacco samples and the single-component cut tobacco samples, constructing a three-cut-tobacco proportion inversion model based on partial least square regression; obtaining terahertz time-domain spectroscopic data of the cut tobacco to be detected; and obtaining the blending proportion of the tobacco shreds to be measured according to the terahertz time-domain spectrum data of the tobacco shreds to be measured and the three-shred proportion inversion model. According to the tobacco shred blending proportion nondestructive testing method based on the terahertz time-domain spectroscopy, nondestructive analysis of the cigarette structure and the tobacco shred proportion can be achieved.

A method, system, and techniques are disclosed herein that provides non-destructive analysis of a golf ball or golf equipment. More specifically, the present disclosure is related to using terahertz tomography to identify imperfections, missing layers, or other undesirable features of a golf ball construction, as well as identifying the composition of various golf ball components or layers. The present disclosure also provides for a relatively quick examination technique that can be implemented in-line with existing manufacturing lines due to its ability to rapidly scan the golf balls.

The invention relates to a battery detection method, device and equipment based on X-ray nondestructive analysis, a storage medium and a program product. The method comprises the following steps: acquiring process characteristic information of a target battery to be detected, and determining a target X-ray nondestructive testing strategy for the target battery according to the process characteristic information; performing feature point identification on a reference battery of the target battery to obtain feature point information of the reference battery, and determining a detection parameter according to the feature point information; and performing X-ray nondestructive testing on the target battery and the reference battery based on the target X-ray nondestructive testing strategy and the detection parameters to obtain a first X-ray image of the target battery and a second X-ray image of the reference battery, and determining a detection result of the target battery according to the first X-ray image and the second X-ray image, the detection result is used for representing whether the target battery is a certified battery. By adopting the method, the battery authenticity detection efficiency can be improved.

The present application relates to the technical field of nondestructive analysis, in particular to a near-infrared spectrum resolution real-time correction method combined with a neural network, which is realized based on a near-infrared spectrum detection correction system, wherein the system comprises a xenon lamp, a fiber probe A, a calibration electric control shutter, a Y-shaped fiber, a near-infrared spectrometer, a measurement electric control shutter, a fiber probe B, a sample to be measured, and a halogen tungsten lamp.The xenon lamp is integrated in the spectrometer device through the Y-shaped fiber, which can realize automatic and rapid switching of the light path without manual intervention, supports online measurement, and combines the xenon lamp data with the neural network, so that a spectrum broadening function can be constructed through Gaussian peak fitting and polynomial fitting only by collecting one frame of xenon lamp spectrum, and then the physical model is used to guide the neural network training to realize the reconstruction from low-resolution measurement spectrum to high-resolution corrected spectrum.This combination scheme not only realizes the high integration of the calibration system and the automation and real-time of the calibration process.

The application provides a multi-dimensional nuclear magnetic resonance T1-T2* imaging method. The technology can provide a fast imaging method for nuclear magnetic resonance instruments under different field strengths and different configurations, and is used for precisely measuring organic matter content and spatial distribution in a dense shale oil and gas reservoir sample. Through special data processing of the collected data, a high-dimensional three-dimensional T 1、 T 2 * The atlas result can be used for characterizing important information such as internal structure, micropore characteristics and fluid saturation of the sample. Therefore, the technology has important application value in analysis of complex samples of unconventional oil and gas reservoirs.

The invention relates to a method for detecting aqueous solutions with different electrical conductivities based on a terahertz wave band. The method comprises the following steps: S1, building a detection system; comprising a terahertz wave source, a collimation system, a focusing device, a cuvette, an off-axis parabolic mirror, a light beam guiding system and a detector which are sequentially arranged in a straight line, and further comprises a data acquisition and control system connected with the detector and an optical platform for supporting the components, s2, calibrating a detection system; s3, preparing a sample; s4, data acquisition; s5, data processing and analysis; and S6, result interpretation and report writing. According to the invention, relative technical means of terahertz wave band spectrum are combined to detect and diagnose aqueous solutions with different conductivities, nondestructive analysis is carried out, the problem of poor electrode contact or contact resistance caused by bubbles in traditional electrical measurement is effectively avoided, and the measurement accuracy is improved. And the interference of rapid flow of bubbles on the measurement accuracy is reduced on the aspect of ultrafast time response capability.