914 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 coating thickness measurement, in particular to an anti-reflection coating thickness measurement method and system based on a dual-light-path infrared reflection method, and the method comprises the steps: obtaining a reflection signal of a light beam of a measurement light path incident to the surface of a to-be-measured sample coating and a reflection signal of a light beam of a reference light path incident to the surface of a standard sample coating at each moment; performing inversion at each moment to obtain a thickness measurement value of the coating of the to-be-measured sample; collecting reflection spectrum data of the exposed substrate in real time; acquiring a spectral characteristic value and a change degree at each moment; acquiring a predicted thickness measurement error at the next moment of each moment, acquiring a base compensation factor at each moment, and evaluating whether a thickness measurement value at each moment needs to be inversely calculated again or not; if so, constructing a target function at each moment, and optimizing parameters of a Fresnel model of an inversion thickness measurement value at each moment; and carrying out inversion calculation on the thickness measurement value of the coating of the sample to be measured at each moment. The invention aims to improve the stability and precision of the thickness measurement of the anti-reflection coating.

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 relates to the technical field of component analysis, and discloses an X-ray fluorescence spectrum-based rock and ore silicate component analysis method, which comprises the following steps: S1, sample collection and pretreatment: collecting, crushing and drying an initial sample, S2, sample tabletting preparation, S3, standard sample preparation, S4, X-ray fluorescence spectrum analysis, and S5, data processing and result analysis. According to the method, a complex interference characteristic mode between elements can be automatically captured through an established deep learning model and learning of a large number of known components and fluorescence spectrum data, and in an example of correcting interference between multiple elements in rocks and mines, the model can utilize a network structure of the model and comprises an established convolutional layer, a pooling layer and a full-connection layer. Effective information is extracted from multiple groups of sample data, the interference relation between elements is accurately learned, and compared with a traditional method, the precision of analyzing the content of silicate components in rock ore is remarkably improved, so that a measurement result is closer to a real value.

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 discloses a cereal quality analysis method based on prediction-correction double neural network fusion. The cereal quality analysis method comprises the steps of constructing a standard sample data set, constructing a spectrum screening method, constructing a correction sample data set, constructing a prediction neural network model, constructing a correction neural network model and evaluating quality components. Through dual-network fusion collaborative design of the prediction neural network and the correction neural network, the problems of overfitting, weak generalization ability and the like of a traditional model in a small sample scene are effectively solved, and the stability and prediction accuracy of the model are improved.

The invention belongs to the technical field of chemical analysis of metallurgical standard samples, and discloses a super duplex stainless steel spectrum standard sample with high quality, high uniformity, high stability and accurate fixed value and a development method thereof. The method comprises the following steps: component design and raw material proportioning, smelting and casting, forging and homogenization treatment, primary inspection of uniformity and sample processing, uniformity inspection, constant value analysis and mathematical statistics, determination of characteristic values of standard samples, stability analysis of the standard samples after long-term storage, and traceability guarantee measures. The super duplex stainless steel spectrum standard sample comprises the following components in percentage by mass: 25%-26% of Cr, 6.50%-7.50% of Ni, 3.50%-4.50% of Mo, 0.23%-0.27% of N, 0.5%-1.0% of Cu, 0.5%-1.0% of W, and the balance of iron and inevitable impurities, and the content of trace elements including sulfur, aluminum and boron is controlled in a specific ppm level range.

The invention discloses an online thickness gauge long drift calibration method and device, and relates to the technical field of thickness gauges. Obtaining a preset calibration algorithm; measuring a pure ray source signal without the thin film to obtain a signal value of pure ray intensity; measuring a signal of the standard component to obtain a signal value of rays of the weakened standard component relative to the material and the thickness of the standard sample; a pure ray source signal value at the moment is calculated by adopting the calibration algorithm, the calibration of the pure ray source signal value near the moment is realized by utilizing the gradual change characteristic of the pure ray source signal value, and then the thickness of the measured film can be calculated by inputting a ray absorption formula. Measurement data of the thickness gauge can be monitored in real time and compared with standard data, so that measurement errors are calculated.

The invention relates to the technical field of material testing, and discloses a phase change temperature calibration method and system for a phase change material, and the method comprises the steps: collecting the surface temperature distribution data and crystal structure parameters of the phase change material based on a bimodal synchronous monitor, and building a temperature-structure incidence matrix; when the parameters of the crystal structure suddenly change, determining surface temperature distribution data corresponding to a sudden change moment based on the temperature-structure incidence matrix, and calculating an initial phase change temperature interval; constructing a nonlinear mapping model of the initial phase-change temperature interval and the heating rate, and performing dynamic compensation on the initial phase-change temperature interval 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; and comparing the offset of the actual phase change position and the theoretical position of the reference material, and reversely correcting and correcting the phase change temperature based on the offset to obtain the final calibration temperature. The calibration accuracy of the phase change temperature of the phase change material can be improved.

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 provides a shale oil horizontal well inter-well interference intensity quantification method based on a physical model. The shale oil horizontal well inter-well interference intensity quantification method comprises the steps that 1, a large-scale three-shaft physical model rock core and a standard-size rock core are prepared; 2, testing the initial permeability of the standard-size rock core; 3, adjusting experimental parameters, and carrying out multi-well three-dimensional fracturing physical model experiments in groups; 4, drilling a fractured physical model standard diameter rock core, and cutting a sample and manufacturing a standard sample; 5, testing the permeability of the core with the standard size after fracturing; step 6, forming a chart curve by taking the coring position and the permeability as variables, measuring the permeability after the pressure is measured, and analyzing the interference intensity; and 7, drawing a field scale inter-well interference area chart curve, analyzing a variable relationship and perfecting a fitting formula. According to the shale oil horizontal well inter-well interference intensity quantification method based on the physical model, shale oil horizontal well three-dimensional fracturing inter-well interference intensity quantification can be achieved, and the method has important significance on reasonable design and optimization of well pattern and well spacing.

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 a fluid inclusion standard sample for in-situ isotope analysis as well as preparation and application of the fluid inclusion standard sample. The preparation method comprises the following steps: obtaining silicate glass powder with uniform components, carrying out high-temperature and high-pressure reaction on the glass powder and a fluid salt solution with the same mass in a closed Cu-Au tube, taking out a reaction product after the reaction, and drying to obtain the fluid inclusion standard sample for isotope analysis. According to the method, the silicate glass with uniform components can rapidly capture the fluid inclusion, and the Cu isotope in the fluid inclusion is accurately measured and controlled according to the fractionation degree of the Cu isotope between the acid salt melt and the fluid.

The invention discloses a position-type-associated airplane power distribution equipment fastener wrong and neglected loading detection method, which comprises the following steps of: debugging a detection device, respectively acquiring a standard sample and a detected sample of airplane power distribution equipment after the debugging of the detection device is completed, and acquiring a template image, a sample image and a test image; exposure fusion is carried out on the to-be-detected image, forward noise addition and reverse noise reduction are carried out on the sample image, and diversified sample images are synthesized; the collected sample images and the synthesized diversified sample images jointly form a training image set to be used for training a built YOLO11-AEDSF model, and finally the trained YOLO11-AEDSF model is used for detecting the exposed and fused image to be detected, so that mistaken and omitted assembly defect recognition of the surface fastener of the aircraft power distribution equipment is completed.

The invention provides a new material packaging box quality detection device, and relates to the technical field of packaging box detection.The new material packaging box quality detection device comprises a workbench, a detection shell is fixedly installed in the left half area of the upper portion of the workbench through a supporting block, and a spectrograph is embedded in the right side of the bottom end face of the detection shell; when the detection area provided with the packaging box non-standard sample moves to the position of the spectrograph, the proximity switch also senses the matched sensing block, so that the control flashing lamp and the off-post judgment timing module are started, if a worker leaves a post, the off-post judgment timing module cannot be closed, and when a timing value is reached, the microcontroller controls the audible and visual alarm to be started, so that the non-standard sample of the packaging box is detected. The method and the system can be used to attract the attention of surrounding personnel and off-post workers, ensure that the spectrometer fault can be found and processed in time, and solve the problems that the current spectrometer lacks an effective fault detection mechanism, the workers cannot perceive the fault at the first time, the off-post condition of the workers is not considered, and the spectrometer fault is difficult to find and process in time during off-post.

The invention provides a polyolefin base material standard sample for measuring the flame retardant property of a cable material and a preparation method of the polyolefin base material standard sample, and belongs to the field of standard preparation. The sample adopts polyolefin resin as a matrix, and an inorganic flame retardant subjected to silane surface treatment, an anti-dripping agent and the like are added to adjust the combustion rate, so that the product can meet the combustion range corresponding to an actual test. The inorganic flame retardant modified by the silane coupling agent can promote the dispersion of the inorganic flame retardant in the resin and the affinity of the inorganic flame retardant and the resin, improves the uniformity of the material, and also can ensure the structural stability of the material in the combustion process; meanwhile, the lubricant is added, so that the material uniformity and dispersity are improved, and the uniformity and stability of combustion data are ensured; the anti-dripping agent is added, so that unstable data between parallel tests due to the dripping phenomenon of the material during combustion is avoided. The polyolefin-based combustion test standard sample can be applied to calibration of combustion tests of a cone calorimeter, a smoke density experimental box and the like and comparison of experimental data in the same row.

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 surface defect detection system based on visual inspection, and relates to the technical field of visual inspection, the surface defect detection system comprises a monitoring center, the monitoring center is in communication connection with a data acquisition module, a sample storage module, an image comparison module, an anomaly detection module and an anomaly classification module; the data acquisition module is used for performing partition image acquisition on the surface of a to-be-detected ceramic sample to obtain image data and sensing data of different areas of the surface of the to-be-detected ceramic sample; the image comparison module carries out comparison operation on the image data and standard sample image data so as to obtain an abnormal area; constructing an actual sample surface defect model and a standard sample surface model according to the sensing data, further constructing an overlapping comparison model, obtaining defect parameters of the surface of the to-be-detected ceramic sample, analyzing the defect parameters of the surface of the to-be-detected ceramic sample, and further obtaining a corresponding defect type; and the production efficiency and the product quality in the product production process are greatly improved.

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 provides a cultural relic age determination method and system, and relates to the technical field of cultural relic age determination, the method comprises the following steps: collecting a sample from a to-be-tested cultural relic, and cleaning, drying and crushing the sample to obtain a treated sample; performing elemental composition analysis on the sample through an energy dispersion X-ray fluorescence spectrophotometer to obtain the types and content ratios of main elements and trace elements in the sample; collecting similar cultural relic samples of known years, performing elemental composition analysis, and establishing a standard sample ratio of the known years; comparing the ratio of the types and contents of the main elements and the trace elements in the sample with the ratio of a standard sample of a known age, and fitting a calibration curve through a least square method according to a comparison data set; and optimizing the calibration curve, and calculating an absolute age estimation value of the cultural relic according to the optimized calibration curve. According to the method, interference of single element variation is reduced through multi-element correlation analysis, and historical relic age determination is carried out.

The invention discloses a method for determining the manganese content of manganese ore, which realizes the accurate determination of the manganese content through the steps of accurate weighing, melting, dissolving, constant volume and the like in combination with an inductively coupled plasma spectrometer. The method comprises the step of performing curve correction by using a verification standard sample to ensure the measurement accuracy. The method has the beneficial effects that instrument analysis is adopted to replace traditional chemical analysis, the detection precision and speed are improved, personal errors are reduced, real-time remote monitoring is realized, skill requirements are reduced, and meanwhile, environmental pollution and occupational disease risks are reduced. The method is suitable for detection of manganese ores with different manganese contents, has the characteristics of high efficiency, accuracy and safety, and provides a new solution for analysis and determination of manganese ores.

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.