433 results about "Standard samples" patented technology

The invention relates to the technical field of electron microscopic imaging, in particular to a correction method and device for geometric distortion in scanning electron microscope measurement, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a scanning electron microscope image of a standard sample; calculating an orthogonal included angle parameter and a length-width ratio parameter of the scanning electron microscope image; iteratively adjusting the angle correction parameter and the gain correction parameter under a fixed scanning rotation angle until a preset local calibration constraint condition is met; verifying the orthogonal included angle parameter and the length-width ratio parameter under each scanning rotation angle; and when the orthogonality included angle parameter and the length-width ratio parameter do not meet a preset global stability constraint condition, adjusting a relative gain coefficient, and re-executing calibration verification under each scanning rotation angle until a full-angle correction requirement is met. By adopting the method, high precision and stability of imaging correction can be kept in a full-angle range.

The invention relates to the technical field of biomedical analysis instruments, and discloses a DNA quantitative fluorometer calibration system based on artificial intelligence optimization, which comprises a data acquisition module for acquiring a dynamic fluorescence characteristic spectrum for representing the whole process of fluorescence reaction; and an intelligent calibration and diagnosis core model in the data processing unit analyzes the spectrogram by using a long short-term memory network and an attention mechanism so as to generate a multi-dimensional diagnosis result containing predicted concentration, confidence score and interference early warning. According to the method, the dynamic fluorescence characteristic spectrum of the standard substance is used as a scene anchor point, the preset global basic model is finely adjusted, and the special session model is generated, so that the real-time self-adaptive calibration of the change of the instrument and the reagent is realized. According to the method, the defects that a traditional method depends on an end point value, is easily interfered and is static in calibration are overcome, and the accuracy, reliability and long-term stability of a DNA quantitative result are remarkably improved.

The invention discloses preparation and application of a millimeter-scale high-uniformity bastnaesite single crystal electron probe standard sample, and the preparation method comprises the following steps: taking CeF3 and carbonate as raw materials, carrying out solid phase mixing, carrying out a hydrothermal reaction at 400-500 DEG C under water self-generated saturated vapor pressure, and carrying out programmed cooling, washing and drying to obtain a CeCO3F single crystal which has a millimeter-scale size and does not contain Nd and other rare earth impurities. The spectrum peak overlapping interference in EPMA analysis is eliminated from the source, the internal elements are highly uniformly distributed, and the relative standard deviation (RSD) of the distribution of the key element Ce is less than 1.0%. The method is simple in process, low in cost and mild in condition, the limitation that millimeter-level single crystals are difficult to prepare through a traditional method is broken through, and the obtained single crystal standard sample has the advantages of being high in crystallinity, good in stability, high in matching degree with a natural geological sample matrix and the like, is suitable for electron probe analysis, especially high-precision quantitative analysis of rare earth element Ce and has good application prospects. And the accuracy and reliability of an analysis result can be effectively improved.

The invention discloses a terahertz reflectance spectrum-based insulating oil micro-water content and aging detection method, device and equipment and a storage medium, and relates to the technical field of dielectric spectroscopy, and the method comprises the following steps: sampling each standard sample to obtain a to-be-detected sample, placing each to-be-detected sample in a sample bearing vessel to obtain an oil film layer, reflecting terahertz wave beams are utilized to irradiate each oil film layer to obtain a terahertz amplitude spectrum and a terahertz phase spectrum, a target three-layer optical model is utilized to perform inversion to obtain a complex dielectric function frequency spectrum, and a preset sub-dielectric model is utilized to fit the complex dielectric function frequency spectrum to obtain a main resonance characteristic and a characteristic parameter set; determining a reference micro-water content based on the main resonance characteristics, determining training data based on the characteristic parameter set, and constructing a target multi-task regression model; and processing the characteristic parameter set by using the model to obtain an initial prediction result and a confidence interval, verifying the prediction result to obtain a target prediction result, and improving the efficiency of detecting the micro-water content and aging of the insulating oil.

The invention discloses a method for quantitatively testing the content of organic carbon and disseminated particle size in gold ore, and belongs to the technical field of gold ore detection. The method comprises the steps of sample preparation and quantitative testing, wherein palm wax serves as a cementing agent, barite serves as a standard sample, and a to-be-tested sample is prepared through melting, mixing, consolidation, polishing and carbon spraying; the quantitative test is based on an automatic process mineralogy test system, palm wax backgrounds are removed through backgrounds deduction, an energy spectrum library is established to recognize organic carbon and barite particles, the area ratio of the organic carbon and the barite particles is measured, the mass ratio is converted by combining the density ratio, the organic carbon content of raw ore is inversely calculated, and meanwhile, the particle size distribution of the organic carbon is counted. The method solves the problem that the content and granularity of organic carbon cannot be accurately quantified at the same time in the prior art, has the advantages of high test precision, high efficiency, comprehensive parameters and simplicity and convenience in operation, and can provide key data for optimization of a gold ore cyanidation leaching process.

The invention relates to the technical field of high-temperature experiment earth science, in particular to a sulfide standard sample and a preparation method thereof. The method comprises the following steps: preparing a raw material of a sulfide standard sample based on a target element component in a target natural sulfide and the content of the target element component; a quartz tube with one open end and one closed end is filled with first predetermined height quartz powder, a raw material of a sulfide standard sample, second predetermined height quartz powder or a quartz column, elemental sulfur, and third predetermined height quartz powder and / or a quartz column in sequence; sealing the filled quartz tube; and performing heat treatment on the raw materials of the sulfide standard sample in the sealed quartz tube to obtain the sulfide standard sample. According to the method, high-resolution analysis of micro-area information can be realized by utilizing the in-situ standard sample, so that irreplaceability is realized, in-situ analysis does not need a complicated pretreatment process, and a solid sample can be directly analyzed and measured.

The invention discloses a preparation method of a microporous positive bottle. The preparation method comprises the following steps: S1, selecting a proper microporous preparation method to prepare the microporous positive bottle; s2, after the microporous positive bottle is prepared, a leak detector is adopted to detect the profiling solid body, the standard leakage holes with different hole diameters and the microporous positive bottle with the same parameters, and then detection data between the microporous positive bottle and the profiling solid body and detection data between the microporous positive bottle and the standard leakage holes are compared; determining the final actual leakage aperture of the microporous positive bottle and judging whether the final actual leakage aperture meets the requirement or not; and S3, labeling detection data of the microporous positive bottles meeting the requirements, and packaging and storing the detection data. The preparation method of the microporous positive bottle effectively ensures that the final leakage aperture of each positive bottle for verification of leakage detection equipment can be quantified and traced, eliminates the risk of misjudgment of the performance of the leakage detection equipment caused by fuzzy aperture, and provides an accurate and reliable standard sample support for a container sealing integrity test.

The invention provides a carrier concentration database establishing method, a carrier concentration testing method and a carrier concentration testing system.The carrier concentration database establishing method comprises the steps that theoretical models of a finite dipole model and a Deroude model are established, adjusting the effective length of the probe of the theoretical model and the ratio of the effective inductive charge to the total inductive charge to calculate a standard sample with known carrier concentration to obtain a plurality of pieces of first spectral information; detecting second spectral information of the standard sample by adopting a terahertz near-field detection device; fitting the first spectral information and the second spectral information to obtain an optimal fitting model corresponding to the current carrier concentration; and repeating the steps, and establishing the carrier concentration database. According to the invention, the near-field scattering signal and the interaction between the probe and the sample can be better represented, the error problem caused by only using the formula for calculation can be effectively overcome, and the calculation accuracy of the semiconductor carrier concentration can be further improved.

The invention discloses a filling adhesive and flexible plate matching evaluation method, a sample and a manufacturing method thereof. The evaluation method comprises the following steps: manufacturing a standard sample; obtaining test conditions of the standard sample in advance; wherein the test conditions comprise test temperature, test humidity and test time; according to the test conditions, carrying out reliability test on the standard sample; and according to the standard sample subjected to the reliability test, obtaining an evaluation result of the matching of the bottom filling glue and the flexible plate. According to the method, the standard sample for evaluating the matching property of the underfill adhesive and the flexible plate is manufactured by a simple technological process, so that the evaluation of the matching reliability between the underfill adhesive and the flexible plate under the environmental influence of humidity and temperature at the same time can be conveniently realized by using the standard sample in a material selection stage, and the risk of product failure is reduced; and thus, the product yield in the production stage is improved.

The invention discloses a processing method and system of bran-free full-nutrient cereal flour and terminal equipment, four grinding procedures are constructed, the first and second processes of a rice machine aim to remove bran, and the third and fourth processes of the rice machine aim to extract aleurone layers; the method comprises the following steps: taking a sample of a bran removal sub-process of a second rice machine and a sample of an aleurone layer extraction sub-process of a fourth rice machine as standard samples, taking the standard samples as input of a process detection robot, obtaining process detection data, taking the process detection data as input of an edge controller, obtaining a control instruction, and sending the control instruction to the edge controller. Controlling the working current of the first rice machine, the second rice machine, the third rice machine and the fourth rice machine by using the control instruction; respectively configuring passivation production lines for the third rice mill and the fourth rice mill to finish passivation of the aleurone layer; the passivation production line comprises a plurality of passivation machines which are connected in series; and screening the passivated aleurone layer. The wheat bran removing device can remove wheat bran and accurately separate aleurone layers.

The invention discloses a qualitative and quantitative detection method for vitamin A and vitamin E in food. The qualitative and quantitative detection method comprises the following steps: step 1, pre-treating a sample and accurately adding an isotope internal standard: adding d6-alpha-tocopheryl acetate and d8-retinol acetate into the sample before saponification and preparing a blank matrix; 2, pre-treatment parameter QbD-DOE collaborative optimization, wherein a response surface method is adopted for conducting center composite design on the saponification temperature, time and BHT concentration, and the interaction effect of all the factors is analyzed to determine an optimal operation window; step 3, intelligently optimizing chromatography-mass spectrometry conditions and tuning parameters; step 4, constructing a matrix matching calibration curve and performing WLS quantitative analysis: performing gradient dilution on a standard substance by utilizing a blank matrix extracting solution, adding an isotope internal standard to prepare a 5-7-point matrix matching calibration curve, fitting the curve by adopting a weighted least square method, and verifying the correlation and intercept change of the calibration curve every day; and 5, multi-dimensional qualitative confirmation and intelligent diagnosis system operation.

The application provides a kind of I / C test method of catalyst layer in fuel cell.The test method includes the following steps: 1) providing at least 3 groups of catalyst layer standard samples;2) respectively establishing high molecular polymer, carbon-supported platinum catalyst and the TGA mark line of each group of catalyst layer standard samples;3) the I / C value of each group of catalyst layer standard samples is recorded as I1 / C1, I1 / C1=W1 / W2;4) the peak area of fluorine signal and platinum signal in the XRF mark line of each group of catalyst layer standard samples is obtained, and is recorded as S F and S Pt ; 5) the S F / S Pt of each group of catalyst layer standard samples is taken as abscissa, and the I1 / C1 of each group of catalyst layer standard samples is taken as ordinate, to obtain α;6) the peak area ratio of fluorine signal and platinum signal of the sample to be measured is obtained, and the I / C value of the sample to be measured can be calculated.

The invention belongs to the technical field of nuclear, and relates to a high-precision full-size conical neutron conduit regulation and control system and an integration method thereof. The system is supported by a bottom storage cabinet, a marble base, a top integration bottom positioning part, two groups of horizontal and top feeding regulation and control components and a positioning block are arranged on the bottom storage cabinet, a conical standard sample block is arranged between the components, and a pneumatic system is arranged in the bottom storage cabinet; the whole process of the system is integrally spliced, an external auxiliary structure is not needed, and the operation efficiency is improved; multi-specification adaptation and size expansibility are achieved, and catheters with different opening sizes can be rapidly switched to be spliced; the positioning adsorption unit performs processing according to a set taper to meet diversified requirements; a micrometer assembly and the like ensure that the splicing form and location tolerance is less than or equal to 20 microns, and the assembly error is reduced; the temperature deformation influence is reduced through material and process innovation, and the splicing quality is guaranteed; standardized interfaces are convenient to disassemble, assemble and maintain, and the technical threshold is reduced by manual regulation.

The present application relates to a kind of strength detection device for composite packaging bag production, it is related to composite plastic strength detection technical field, the present application includes detection machine, detection machine is provided with lifting rod, lifting rod bottom is provided with chuck, the number of chuck is two and symmetrically distributed, cutting mechanism is arranged between two chucks, cutting mechanism is used to be clamped while cutting packaging bag into standard sample, the operation of first clamping standard sample after cutting is realized by cutting mechanism, and production efficiency is improved, the cutting of sample is realized using the step of the distance shortening of clamping block one and clamping block two is synchronous, the merging of production step is realized, the lifting rod of detection machine itself is used simultaneously with the lifting function, driving movable blade linearly rises and realizes the cutting of sample side, after cutting, the cutting knife and the limiting space generated after the embedding of receiving groove in the chuck in clamping state are set, limit the deviation space of film sample in the process of stretching.

The invention relates to a benchmark-free pipeline aging ultrasonic online detection method and system. The benchmark-free pipeline aging ultrasonic online detection system is built; in the pipeline aging process, synchronously exciting ultrasonic signals and receiving echo signals of the inner and outer walls of the pipeline; the received echo signals of the inner wall and the outer wall are separated and extracted, and echoes of the outer wall and echoes of the inner wall are obtained respectively; calculating a signal difference coefficient of echoes of the outer wall and the inner wall; representing the aging degree of the pipeline in a reference-free manner according to the signal difference coefficient, and judging that the aging degree of the pipeline reaches an early warning state when the NSDC value reaches a preset threshold value. Compared with the prior art, the method does not need to be compared with the initial state of the pipeline or a standard sample, and the problem that reliable reference data is difficult to obtain in actual engineering is solved; the selected damage index signal difference coefficient has high sensitivity to the microstructure change of the pipeline, real-time and continuous monitoring of the aging state of the pipeline is achieved, early warning is provided for safe operation of the pipeline, and the method has important engineering application value.

The invention discloses a multi-element quantitative analysis method for laser ablation inductively coupled plasma mass spectrometry, and aims to solve the problems that the quantitative process of the existing LA-ICP-MS technology depends on a standard sample, the automation degree is low, and the existing LA-ICP-MS technology cannot adapt to complex multi-element signals. According to the method, full-automatic and multi-element (such as 9 main quantities and 30 trace elements) quantitative analysis is realized in the LA-ICP-MS field without an internal standard and an external standard, the analysis efficiency, the accuracy and the data comparability among different platforms are remarkably improved, and a breakthrough solution is particularly provided for application of element quantitative imaging and the like.

The application discloses a pet food palatability evaluation method based on gas chromatography-ion mobility spectrometry (GC-IMS) and a prediction model construction method, and belongs to the technical field of pet food quality analysis. The application aims at the problems of the existing palatability evaluation, such as strong subjectivity, long cycle and lack of standardized model, and adopts headspace-GC-IMS technology to rapidly detect volatile organic compounds (VOCs) in pet food, so as to obtain a VOCs fingerprint spectrum of the sample. In combination with standard samples with known palatability test results, key palatability markers are screened through orthogonal partial least squares discriminant analysis (OPLS-DA), and a palatability prediction model is established. The application first applies the GC-IMS technology to pet food palatability evaluation, realizes objectification, rapidness and standardization of detection, overcomes the subjectivity and low efficiency of traditional methods, and can provide reliable scientific basis for formula optimization, quality control and raw material screening of pet food.

This invention discloses a quantitative method for phospholipids, comprising: a sample preparation step, wherein a sample containing protein and phospholipids is mixed with Schiff reagent to obtain a sample for testing; a control sample preparation step, wherein the sample is mixed with a solvent of Schiff reagent to obtain a control sample; a measurement step, wherein the degree of a first optical property of the sample for testing and the degree of an optical property of the control sample are measured after the reaction of the aldehyde formed by the vinyl ether bond of phospholipids with Schiff reagent; and a determination step, wherein a correction degree obtained by correcting the degree of the first optical property using the degree of the optical property of the control sample is compared with the degree of a second optical property of the standard sample to determine the concentration of phospholipids in the sample, wherein the standard sample contains Schiff reagent and phospholipids of known concentration, and the degree of the second optical property is the degree of reaction of the Schiff reagent with the aldehyde formed by the vinyl ether bond of phospholipids.

Provided is a technique capable of efficiently determining the value of a device parameter to be set in each part of a sample analysis device. A device (1) for analyzing a sample by setting different values of device parameters for a plurality of constituent elements is provided with: a storage unit (41) for storing device parameter-related information indicating the relationship between the values of the device parameters and the values of prescribed evaluation items in measurement results, and information of reference values of the evaluation items; the device parameter-related information is generated on the basis of a measurement result obtained by measuring the standard sample using a measurement condition in which the values of the device parameters of the target elements among the plurality of constituent elements are different; a measurement result acquisition unit (44) that acquires a measurement result by measuring the standard sample using a measurement condition in which an initial value is set for a device parameter of the target element; and a device parameter value determination unit (46) for determining the difference between the value of the evaluation item in the acquired measurement result and the reference value, and determining the value of the device parameter of the component to which the difference is to be eliminated on the basis of the device parameter-related information.

The invention relates to the technical field of water-salt distribution, and discloses a simulation system and method for water-salt evolution of an island aquifer under the influence of underground structures, and the method comprises the steps: prefabricating standard dyeing seawater by adopting NaCl and carmine; diluting standard dyeing seawater in proportion to prepare saturated sand column standard samples with different salinity gradients, and collecting profile images of the saturated sand column standard samples; extracting the average gray value of the section image of each saturated sand column standard sample and the corresponding global temperature and salinity; fitting the average gray value, the global temperature and the salinity corresponding to the saturated sand column standard sample, and establishing a global temperature coupled salinity inversion model; acquiring an experiment profile image and an experiment global temperature of the sea island aquifer water-salt evolution experiment under the influence of the underground structure; and generating a two-dimensional salinity distribution data field according to the salinity inversion model, the experimental profile image and the experimental global temperature. The full-profile image of the aquifer to be measured is collected in real time, the relation between the light intensity and the salinity is established, interpolation processing is not needed, and the simulation result is more accurate.

This invention provides a method for preparing and testing powder diffraction standards for determining internal residual stress, belonging to the field of residual stress detection. The powder standards prepared by this invention possess shape retention capabilities, meeting the requirements of the transmission diffraction optical path in non-destructive diffraction determination of internal residual stress. The powder, after being bonded with an adhesive, forms a blocky solid form, and standards of different sizes can be prepared according to the penetration depth of different diffraction sources on different substrate materials. Furthermore, the ratio of powder to adhesive can be adjusted to obtain different diffraction volume ratios. By testing the uniformity of diffraction peak intensity distribution in translational and rotational degrees of freedom, the uniformity of the internal lattice distribution and orientation of the standard sample can be determined, thereby testing and judging the uniformity of the standard sample.

This invention provides a method for testing the content of lactic acid and water in an aqueous lactic acid solution, comprising the following steps: preparing standard sample solutions with different lactic acid concentrations using lactic acid and water; testing the density of each standard sample solution using a densitometer to obtain the relationship between the density and the lactic acid concentration; testing the density of the aqueous lactic acid solution to be tested using the densitometer; and determining the lactic acid content and water content in the aqueous lactic acid solution to be tested based on the density of the aqueous lactic acid solution to be tested and the relationship between the density and the lactic acid concentration. This invention solves the problem of existing technologies that cannot accurately, conveniently, efficiently, and cost-effectively detect the content of lactic acid and water in an aqueous lactic acid solution simultaneously.

The invention relates to a method for measuring and analyzing nickel, silicon and phosphorus in nickel-containing pig iron, in particular to the technical field of detection and analys.The measuring and analyzing method comprises the steps that a nickel-containing pig iron sample is drilled, sampled and separated through a hard alloy drill bit, and a test sample is obtained; sequentially carrying out acid dissolution, solid-liquid separation and constant volume on the obtained test sample to obtain a test solution; measuring the contents of nickel, silicon and phosphorus in the obtained test solution by adopting a full-spectrum direct-reading inductively coupled plasma emission spectrum; a standard curve used in the full-spectrum direct-reading inductively coupled plasma emission spectrum measurement is obtained by dissolving a gradient nickel-containing pig iron standard sample to a constant volume. According to the determination and analysis method provided by the invention, the detection process is designed, so that the nickel, silicon and phosphorus elements in the nickel-containing pig iron with the nickel content of 8-15% can be jointly determined, and a scientific data basis is provided for production management and control.

This invention discloses a method for testing the adhesion quality of the inner coating of easy-open caps, comprising the following steps: S1, Sampling: Sampling easy-open cap samples to be tested according to the sampling plan; S2, First Cooling: Placing the samples in a first freezing zone for cold storage; S3, Pasteurization: After cold storage for a period of time, removing the samples from the first freezing zone and placing them in a high-temperature zone for sterilization; S4, Second Cooling: After sterilization for a period of time, removing the samples from the high-temperature zone and placing them in a second freezing zone for cold storage; S5, State Comparison: After cold storage for a period of time, removing the samples and comparing them with standard samples to observe the state of the inner coating inside the easy-open cap; S6, Test Samples: Opening the pull tab of a sample that meets the requirements, and observing the residual state of the inner coating in the easy-open cap; S7, Determining the Test Results. This method for testing the adhesion quality of the inner coating of easy-open caps simulates extreme usage conditions of sudden cooling and heating during the testing process, and has the advantage of comprehensively evaluating whether the adhesion quality of the inner coating of easy-open caps meets the standards.

The invention relates to an online diagnosis and early warning method for performance degradation of a multi-layer thermal insulation material in a liquid hydrogen temperature zone, and belongs to the technical field of extremely low temperature thermal insulation material testing. According to the method, an acoustic sensing module and a controllable micro excitation module are integrated on a traditional heat leakage testing system; the method comprises the following steps: collecting acoustic emission signals generated by a material under thermal cycle and active micro-excitation, extracting multi-dimensional characteristic parameters, and establishing a correlation diagnosis model of acoustic emission characteristics and the internal pre-tightening force state and macroscopic thermal performance of the material in combination with standard sample data in a known state; by utilizing the model, the internal mechanical contact state of the to-be-tested material can be evaluated in an online, lossless and real-time manner, and early warning can be performed on the degradation trend of the heat insulation performance of the to-be-tested material. According to the method, the defects of lagging and destructiveness of a traditional testing method are overcome, the root cause of performance degradation is monitored, and a guarantee is provided for reliability evaluation and service life prediction of the material.

The invention belongs to the technical field of analysis of harmful residues of food and medicine homologous substances, and particularly relates to a rhizoma kaempferiae standard sample containing a harmful pollutant lead and a preparation method of the rhizoma kaempferiae standard sample. According to the method, a sample preparation mode of raw material collection, raw material verification, sample pretreatment, vacuum freeze drying, coarse crushing, sieving, uniform mixing, fine crushing, re-sieving, uniform mixing and sub-packaging is adopted, so that the matrix effect and good uniformity and stability of the sample are ensured. By adopting the growth environment characteristics of the actual sample and the growth enrichment rule of the plant, the obtained raw material can have the matrix effect consistent with that of the actual sample, and the expected use purpose is met; the prepared standard sample can maintain the physical and chemical characteristics during long-term storage, so that the stability of the target element lead is ensured; a two-step crushing-sieving-uniform mixing preparation process is adopted, so that sufficient uniformity of the prepared standard sample is fully ensured, and various use requirements of a quality control sample, a proficiency testing sample, a standard sample and the like can be met.

The invention relates to the technical field of intelligent detection, in particular to an intelligent detection method and system for food packaging. The method comprises the following steps: acquiring an original image of a measured film; applying preset geometric perturbation to the original image to obtain an auxiliary image; performing two-dimensional fast Fourier transform on the original image and the auxiliary image, and calculating a frequency spectrum differential signal; establishing a reference model of the standard sample, and comparing the frequency spectrum differential signal of the tested film with the reference model to obtain frequency domain anomaly; constructing a self-adaptive filter according to the frequency domain anomaly, and applying the self-adaptive filter to the original image for filtering; and performing two-dimensional inverse fast Fourier transform on the filtered spectrum data to identify defects. According to the method, the accuracy and precision of defect detection under the periodic texture background are remarkably improved.

The invention discloses a standard sample for nondestructive testing of hard spots on the surface of a steel plate, which is characterized in that an acid-resistant pipeline steel plate is used as a substrate, the number of the hard spots on the upper surface of the substrate is more than or equal to 30, and the depth of the hard spots on the surface is 0.1-1mm; the length of the surface hard point in the rolling direction of the steel plate is 5mm-200mm, and the width of the surface hard point in the transverse direction of the steel plate is 5mm-50mm; the hardness grades of the surface hard points are divided into a plurality of grades, and the sizes of the hard points in each hardness grade at least comprise the minimum size and the maximum size of the surface hard points. According to the use scene of steel plate surface hard spot nondestructive testing, the steel plate with proper components is selected as the base plate for preparing the standard sample, a series of surface hard spots with different sizes, depths and hardness combinations are prepared on the surface of the steel plate, and the obtained standard sample can be effectively used for calibration of surface hard spot nondestructive testing equipment; and the detection of natural hard spots on the surface of the acid-resistant pipeline steel is ensured.

The invention discloses a transformer fault recognition model training method and device and a fault recognition method and device, and relates to the technical field of power system fault diagnos.The method comprises the steps that three-phase current signals of multiple operation states of a transformer are continuously sampled to obtain multiple data samples; performing coarse-grained labeling on each data sample based on multiple operation states; performing fine granularity labeling on each data sample subjected to coarse granularity labeling to obtain original sample data; preprocessing the original sample data to obtain standard sample data; and training the identification model based on the standard sample data to obtain a transformer fault identification model. According to the invention, the three-phase current signals in various operation states are subjected to coarse-grained and fine-grained labeling, so that the trained model can learn richer and more detailed fault features, and the accuracy and robustness of transformer fault recognition are improved.

The application discloses an environmental monitoring data analysis method and related device, relates to the technical field of environmental monitoring, obtains the standard sample data consistent with the attribute of the to-be-analyzed environmental monitoring data, calls a density-based clustering algorithm to process the two kinds of data, obtains a clustering result, and in the case that a turning point in a K-distance graph of the to-be-analyzed environmental monitoring data does not satisfy a preset turning point condition, determines a reference turning point by using a sliding window algorithm, so that the clustering result is more accurate; when the clustering result satisfies a condition, multi-dimensional quality analysis is performed on the to-be-analyzed environmental monitoring data, and the efficiency and accuracy of environmental monitoring data analysis are further improved; when the to-be-analyzed environmental monitoring data is subjected to multi-dimensional quality analysis, at least data stability and correlation of the to-be-analyzed environmental monitoring data are analyzed, so that the accuracy of an analysis result obtained by multi-dimensional analysis is greatly improved, and the accuracy of application of the analysis result to other scenes, such as data quality evaluation, is further improved.