739 results about "Standard samples" patented technology

The invention provides a method and a device for evaluating and measuring microscopic mechanical properties of TC4 alloy, relates to the technical field of microscopic mechanical properties, and realizes accurate evaluation of material properties through combination of multi-scale characterization and numerical simulation. Firstly, a standard sample is prepared through selective laser melting, and residual stress field distribution is obtained through X-ray diffraction; dividing a stress field into sub-regions, and establishing a quantitative relationship between microscopic structure parameters and residual stress by combining SEM and EBSD analysis; the method comprises the following steps: acquiring local mechanical properties through a nanoindentation test, and constructing a stress-performance correlation model; and finally, establishing a finite element model, transmitting stress and tissue parameters by adopting trilinear interpolation and an inverse distance weighting method, verifying data reliability through a stress difference criterion, and calculating mechanical properties of each unit. According to the method, multi-scale correlation from microstructure characteristics to macroscopic mechanical properties is innovatively realized, so that the mechanical property distribution of the material is accurately evaluated.

The invention relates to the technical field of material physical property testing, and discloses an injectable hydrogel wound dressing tensile strength testing method, which comprises: establishing a correlation model of the mass and the maximum fracture load of a standard sample at different temperatures, and the correlation model of the initial rigidity and the temperature; measuring the mass and the actual maximum fracture load of the to-be-measured sample, and determining the actual initial rigidity of the to-be-measured sample; according to the method, the actual initial stiffness is calculated, the equivalent temperature of the test is converted by utilizing the actual initial stiffness, the standard theoretical maximum fracture load is calculated in combination with the sample mass and the corresponding model, and the performance is judged by comparing the two, so that the measurement of the geometric dimension of an irregular sample is avoided by constructing the correlation between the mass and the mechanical performance; the quality control problem of an in-situ forming material is solved, and the reliability of a judgment result in an industrial environment is further ensured by utilizing mechanical response data of the same test through an integrated temperature self-adaptive calibration mechanism.

The invention discloses a method for measuring the focus heat effect and the heat damage of a Raman probe. The method comprises the following steps: S1, establishing a stable laser output system, and configuring a proper optical focusing system; s2, heating the standard sample to a target temperature according to a preset step length, keeping for several minutes at each target temperature, and performing spectral measurement on the standard sample by using a Raman spectrometer; s3, in the Raman spectrum measurement process, carrying out real-time temperature monitoring on the surface of the standard sample, and carrying out normalization processing on collected Raman spectrum data; s4, establishing a quantitative relation model between the relative intensity change characteristic # imgabs0 # of the Raman spectrum and the temperature T; and S5, predicting the temperature T of the standard sample under the current preset parameters according to the model, and adjusting the measurement parameters according to the prediction result, so that the predicted temperature T is lower than the temperature threshold value of the to-be-detected sample. According to the method, the thermal effect of the laser can be predicted before Raman measurement, proper measurement parameters are set in advance, and thermal damage to a measured sample is avoided.

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 relates to the technical field of engine assembly testing, in particular to an error evaluation method of a complex measurement system. The invention provides an error evaluation method of a complex measurement system, which comprises the following steps of: S1, simplifying and customizing a standard sample piece of a complex object to be measured based on the critical dimension of the complex object to be measured; s2, performing calibration detection on the standard sample piece by adopting calibration equipment to obtain a calibration value of the standard sample piece; s3, detecting the standard sample piece by adopting the complex measurement system to be detected to obtain a detection value of the standard sample piece; and S4, according to the calibration value and the detection value, obtaining a precision evaluation value of the to-be-detected complex measurement system. According to the method, the measurement precision of the complex measurement system is evaluated through the standard sample piece, the accuracy of equipment precision evaluation is remarkably improved, the key assembly size of the to-be-detected complex object is detected, the detection precision of the to-be-detected complex object is remarkably improved, the assembly detection difficulty is reduced, and the assembly efficiency and quality are improved.

The invention relates to a method for quantitatively analyzing the evolution period of paleo-pore fluid in a sandstone reservoir, and belongs to the technical field of oil and gas reservoir exploration and development. According to the method for quantitatively analyzing the evolutionary period of the paleo-pore fluid in the sandstone reservoir, core samples with different oiliness are selected at a target position in a target interval of a research area, fluid activity periods are preliminarily analyzed, and then the core sample with the most fluid activity periods is selected as a standard sample; pore fluid evolution analysis can be carried out on a standard sample, the analysis process is shortened, and the precision of recovering pore fluid evolution is improved.

The invention relates to the technical field of semiconductors, and provides an amplification factor calibration method of a scanning electron microscope. The method comprises the following steps: in a TEM imaging mode, TEM measurement data of a key structure of a TEM sample is determined, and the TEM sample is a TEM sample with a known process structure size or clear lattice fringes; in an SEM imaging mode, determining an SEM measurement data set of the key structure of the TEM sample under different SEM amplification factors; each SEM magnification of the scanning electron microscope is calibrated based on the TEM measurement data and the SEM measurement data set. The method is easy and convenient to operate, does not need to depend on a standard sample, and is lower in calibration cost and higher in calibration accuracy.

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 present invention relates to the field of material testing technology and discloses a method and system for calibrating the phase change temperature of a phase change material. The method comprises: collecting surface temperature distribution data and crystal structure parameters of the phase change material using a dual-modal synchronous monitor and establishing a temperature-structure correlation matrix; determining the surface temperature distribution data corresponding to the mutation moment based on the temperature-structure correlation matrix when the crystal structure parameters undergo a sudden change, and calculating the initial phase change temperature range; constructing a nonlinear mapping model between the initial phase change temperature range and the heating rate, and dynamically compensating the initial phase change temperature range based on the nonlinear mapping model to obtain a corrected phase change temperature; inputting the corrected phase change temperature into a gradient temperature control module containing a standard sample; comparing the offset between the actual phase change position of the reference material and the theoretical position, and reversely correcting the corrected phase change temperature based on the offset to obtain a final calibration temperature. The present invention can improve the accuracy of phase change temperature calibration of phase change materials.

The invention discloses a real-time quantitative calibration spectrum on-line detection device and a use method thereof, a standard substance with a known concentration is accurately injected into a mixer and is mixed with a reaction liquid on line, and then a spectrum detector obtains spectrum absorption data of the mixed liquid; on the basis of the spectral absorption intensity linear superposition relation between the standard substance and the reaction liquid and the metering relation between the target product and the injected target product, online correction is carried out, and finally the concentration value of the target product is obtained. The online standard sample injection and dynamic online calibration technology is introduced, so that the problems of low quantitative precision, manual sampling lagging and the like in chemical reaction monitoring are solved, and the online standard sample injection and dynamic online calibration technology is particularly suitable for the fields of photochemical synthesis, continuous pharmacy and the like with strict process analysis timeliness requirements.

The invention provides an automatic calibration system for an X-ray fluorescence analyzer, which comprises an automatic calibration platform, a mechanical arm assembly and a control device, and is characterized in that the mechanical arm assembly is used for at least grabbing and placing a standard sample; the control device comprises a standard sample scheduling management module, a plurality of XRF process control modules and a mechanical arm control module, and the standard sample scheduling management module is used for maintaining standard sample state information, responding to a standard sample request and generating a standard sample scheduling task according to the standard sample state information; each XRF process control module is in communication connection with one X-ray fluorescence analyzer and is used for controlling the calibration process of the corresponding X-ray fluorescence analyzer and initiating a standard sample request to the standard sample scheduling management module; and the mechanical arm control module is in communication connection with the mechanical arm assembly and used for receiving the standard sample scheduling task and converting the standard sample scheduling task into an instruction sequence for controlling the mechanical arm assembly to act, and by means of the mode, multi-machine parallel calibration can be automatically achieved.

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 relates to the technical field of material performance detection, and discloses a non-destructive evaluation method and system for the strength of microorganism mineralized river sand, and the method comprises the following steps: applying a sweep frequency sound wave excitation signal to a microorganism mineralized river sand standard sample model; performing penetration simulation operation on the microorganism mineralized river sand standard sample model according to the sweep frequency sound wave excitation signal; extracting mineralization specific characteristic parameters corresponding to the sample model through the penetration response signal; according to the mineralization specificity characteristic parameters, constructing a biological cementation index of microorganism mineralization, and according to the biological cementation index, analyzing the compressive strength of the microorganism mineralization river sand standard sample model; constructing a destructive calibration curve of the microorganism mineralized river sand standard sample model; the target compressive strength of the to-be-tested sample model is analyzed through the destructive calibration curve, and the strength non-destructiveness of the microorganism river sand corresponding to the to-be-tested sample model is analyzed based on the target compressive strength. According to the method, the accuracy of non-destructive evaluation of the strength of the microorganism mineralized river sand can be improved.

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 a sample micro-weighing device and method for bituminous coal caking index measurement and industrial analysis. The sample micro-weighing device comprises a horizontal guide rail, a vertical guide rail, a cantilever support, a standard sample micro-weighing device, a to-be-measured sample micro-weighing device, an analytical balance, a sample bottle, a crucible and a control system. The vertical guide rail can move along the horizontal guide rail, and the to-be-measured sample micro-weighing device is movably connected with the vertical guide rail through a rotating device; and the standard sample micro-weighing device is movably connected with the vertical guide rail through a cantilever bracket. The device and the method are mainly used for measuring the caking index of bituminous coal according to a GB / T 5447 Bituminous Coal Bituminous Index Measurement Method and carrying out coal sample industrial analysis according to a GB / T 212 Air Dried Coal Sample Ash Measurement, can realize trace weighing of the sample, can realize weighing of the whole sample, can execute uniform mixing operation before weighing, and can be used for measuring the caking index of the bituminous coal according to the GB / T 5447 Bituminous Coal Bituminous Index Measurement Method. And the problem of sample segregation easily caused by conventional weighing and sampling is effectively avoided.

The invention relates to the technical field of smelting element prediction, and discloses an intelligent prediction method and system for the content of residual elements at the smelting end point of a converter. The method comprises the steps that first smelting data and second smelting data are integrated based on heat information, and a historical sample set is generated; screening out sample data belonging to a first threshold interval from the sub-sample set, and combining all the sample data into a standard sample set; key parameters are extracted from the standard sample set, the first content of the converter end point residual elements is calculated based on the initial content and the yield, a label value is set for the standard sample set based on the first content, and a label sample set is generated; summarizing all label sample sets based on the heat information, generating a training data set, constructing a converter end point residual element prediction model based on the training data set, predicting and outputting the residual element content in converter end point molten steel, and adjusting the production process based on the residual element content. According to the method, the residual element content prediction efficiency and precision are improved.

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.

An online detection method for a bauxite component, and a related device. The method comprises: controlling an LIBS system to collect n pieces of actual spectral data from bauxite to be tested on a preset-speed conveyor belt; performing a preset processing operation on the n pieces of actual spectral data, so as to acquire a set of preprocessed actual spectral data; calculating a screening distance between each piece of preprocessed actual spectral data in the set of preprocessed actual spectral data and a bauxite category spectrum, and adding, to an effective spectral data set, the preprocessed actual spectral data with the screening distance less than or equal to a preset distance, wherein the bauxite category spectrum is obtained by measuring a standard sample with known components on the basis of a static mode; using the average value of the first m pieces of spectral data in the effective spectral data set as actual continuous transmission spectral data; and inputting the actual continuous transmission spectral data into an optimal model, so as to acquire a bauxite component corresponding to each piece of spectral data.

The invention relates to a method for measuring thermodynamic parameters of a corrosion product under zinc injection, which comprises the following steps: detecting the characteristic peak position of the corrosion product through Raman spectrum, comparing with a standard Raman spectrum database to obtain the chemical structure of the corrosion product, calibrating the peak intensity of a standard sample, and obtaining the concentration of the corrosion product according to the relationship between the peak intensity and the concentration of the standard sample. The conductivity of the coolant containing the corrosion product is detected through alternating current conductivity, and the ionization constant of the corrosion product is obtained in combination with concentration information provided by the Raman spectrum. According to the invention, the thermodynamic parameters of the corrosion product under the chemical condition of zinc injection water can be measured in situ, including the chemical structure, concentration and equilibrium constant of the corrosion product, and the problem of lack of the thermodynamic parameters of the corrosion product under the current chemical condition of zinc injection water is solved; and a foundation is laid for accurate prediction of the corrosion product deposition law and model development under the zinc injection water chemical condition.

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 provides a chromaticity attribute evaluation method and device, computer equipment, a storage medium and a product, and the method comprises the steps: calculating a first chromatic aberration delta E1 of a chromatic aberration-free group under a lighting source, the chromatic aberration-free group being a combination of a standard sample and a chromatic aberration-free product; calculating a second chromatic aberration delta E2 of a to-be-evaluated group under the illumination light source, wherein the to-be-evaluated group is a combination of the standard sample and the to-be-evaluated product; acquiring a false alarm probability that the group without chromatic aberration is judged to have chromatic aberration and a hit probability that the group to be evaluated is judged to have chromatic aberration; inputting the false alarm probability and the hit probability into a quantitative model of the color difference resolution threshold to obtain the color difference resolution threshold of the to-be-evaluated product; inputting the false alarm probability and the hit probability into a quantitative model of the color difference judgment tendency to obtain a judgment tendency estimated value of the to-be-evaluated product; and obtaining a chromaticity attribute evaluation result of the to-be-evaluated product based on the color difference resolution threshold and the judgment tendency estimator value. According to the method, the color difference resolution threshold can be quantified, a general evaluation standard suitable for completing color judgment on different to-be-detected objects such as structural parts, printed matters and textiles is established, the reliability of the color difference resolution threshold is improved, and control over the quality of the to-be-detected objects is facilitated.

The invention discloses a mine earthquake risk main control factor analysis method based on rock stratum macro-microscopic numerical simulation. The method comprises the following steps: firstly, collecting a rock sample and testing to obtain microscopic rock mechanical parameters; secondly, constructing a standard sample model based on discrete element numerical analysis software, and performing heterogeneity parameter assignment on the standard sample model by utilizing a Weibull function in combination with fractal dimensions and mesoscopic rock mechanical parameters, so as to realize accurate matching of rock mass mesoscopic-macroscopic mechanical properties; the mesoscopic rock mechanical parameters are converted into macroscopic rock mechanical parameters for discrete element analysis according to the conversion relation between the rock quality indexes and the rock strength, and high-fidelity reconstruction of a discrete element macroscopic model is achieved; and subsequently performing an orthogonal test and range analysis to quantify the macroscopic heterogeneous main control factors, thereby realizing priority ranking of each macroscopic heterogeneous main control factor as a key disaster-causing factor. Simulation can be carried out under the condition of considering the rock stratum heterogeneity, the result fits the actual rock stratum condition, and data support is provided for subsequent mine earthquake risk prevention and control treatment on the rock stratum.

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 invention discloses a printing process effect measuring method and device for hologram paper and printed matter thereof, and the device comprises a detection box, the top of the detection box is provided with a standard light source, and the bottom of the detection box is provided with a detection table; the bending mechanism is located in the detection box, and the bending mechanism is located on one side of the detection table and used for bending and recovering the flattened hologram paper and printed matter of the hologram paper; the detection mechanism is located in the detection box, can move along the direction parallel to or perpendicular to the detection table, and is used for collecting color values of the hologram paper and the hologram paper printed matter, and collecting an image of the hologram paper printed matter and an image of the standard sample for comparison; the sample covering mechanism is located on one side of the detection box and comprises an adjusting device and a sample covering piece arranged on the adjusting device, and the sample covering piece is parallel to the end face of the detection table. The method and the device can be used for measuring the color value of the laser paper and evaluating the finishing process effect of the laser printed matter at the same time.

The invention belongs to the technical field of molecular biology, and particularly relates to a dual fluorescent quantitative PCR (polymerase chain reaction) primer probe group for detecting goose circovirus and duck circovirus type II and application of the dual fluorescent quantitative PCR primer probe group. The fluorescent quantitative PCR primer probe group comprises a primer pair and a probe, and the sequences of the primer pair and the probe are as shown in SEQ ID NO.1 to SEQ ID NO.6. The fluorescent quantitative PCR primer probe group has good specificity on the goose circovirus and the duck circovirus type II, the lowest detection amount of GoCV detection is 2.46 * 10 < 2 > copies / mu L, and the lowest detection amount of DuCV-II detection is 2.5 * 10 < 2 > copies / mu L. Besides, in-batch and inter-batch real-time fluorescent quantitative PCR amplification is carried out on a standard substance, the in-batch variable coefficient is less than 1%, and the inter-batch variable coefficient is less than 1.6%, so that the primer probe group and the kit provided by the invention are high in stability and good in repeatability.

The invention discloses a double-standard-sample multi-spectral-line correction LIBS quantitative accuracy improving method. The method comprises the following steps: acquiring LIBS spectral data of a to-be-detected sample and two standard samples; acquiring multiple pieces of characteristic spectral line data of to-be-detected elements of the to-be-detected sample and the two standard samples from the LIBS spectral data; calculating a spectral line intensity correction factor of the second standard sample according to the characteristic spectral line data; calculating the characteristic spectral line theoretical intensity of the to-be-detected sample according to the spectral line intensity correction factor of the second standard sample; establishing a correction curve according to the actual spectral line intensity of the first standard sample and the theoretical intensity of the characteristic spectral line of the to-be-detected sample; and calculating the to-be-detected element content of the to-be-detected sample according to the correction curve. By adopting a double-standard-sample multi-spectral-line correction algorithm, the accuracy of quantitative analysis of a single-point multi-spectral-line correction method can be remarkably improved, and meanwhile, the defect that the calculation process of a calibration-free laser-induced breakdown spectroscopy algorithm is tedious is overcome.