61 results about "Quantitative accuracy" patented technology

The invention provides a method and a system for detecting gas concentration in an epitaxial growth reaction cavity, computer equipment and a storage medium. The method comprises the following steps: acquiring a reflected light signal, a reference signal and a reaction cavity environment signal; carrying out wavelength calibration and intensity baseline calibration on the reflected light signal according to the reference signal, and generating an experimental absorption spectral line according to the calibrated reflected light signal; according to the reaction cavity environment signal, fitting the experimental absorption spectral line and a target absorption spectral line obtained by querying a preset database, and performing inversion to obtain concentration information of the gas to be detected. According to the invention, through double calibration of a reference channel, an experimental spectral line and a database target spectrum are strictly aligned on a frequency scale and an amplitude scale, interference of linear displacement and baseline fluctuation on fitting is reduced, and quantitative precision is improved; and meanwhile, an environmental condition is introduced as a physical constraint, so that parameter coupling is weakened, the identifiability and robustness of inversion are improved, the dependence on pure empirical correction is reduced, and the stability of detection data is improved.

The invention discloses an absolute quantitative correction method and device for medical imaging equipment, and relates to the technical field of nuclear medical imaging equipment correction. When the method is executed, the actual activity concentration of the calibration die body injected with the first known tracer activity serves as the first activity concentration; then, the calibration die body injected with the first known tracer activity is collected in medical imaging equipment, and the activity concentration in a first image domain obtained through calculation serves as second activity concentration; and finally, calculating a correction factor based on the first activity concentration and the second activity concentration, wherein the correction factor is used for correcting absolute quantification of the medical imaging equipment. Therefore, the correction factor is calculated by comparing the activity concentration calculated by the medical imaging equipment with the actual activity concentration of the calibration die body, so that the medical imaging equipment can accurately adjust the measurement result according to the correction factor during subsequent absolute quantitative analysis; the effect of improving the absolute quantification accuracy of the medical imaging equipment is achieved.

The invention discloses a traffic energy fusion hub site selection model modeling method based on multi-dimensional potential, and belongs to the technical field of hub site selection related to test development. The problems that in the prior art, a traditional traffic energy fusion hub site selection model modeling method is insufficient in quantification precision, dynamic updating is difficult, and long-term prediction deviation exists are solved. According to the method, spatial correlation modeling and economic activity density calculation are carried out to obtain regional economic potential; constructing an objective function to obtain a composite index, and determining traffic accessibility by comparing candidate site selection points with non-added site selection points; determining the weight of each level index, and obtaining the land potential through weighting calculation; constructing a dynamic system measurement model, and determining urban development potential; and carrying out standardization and weighting processing on the score result of the potential to obtain a final site, and completing the calculation of the comprehensive score of the multi-dimensional development potential. The method effectively improves the long-term accuracy of urban development benefit prediction, and can be applied to hub site selection.

The application relates to the technical field of analytical chemistry detection, and specifically discloses a rare earth ion chromatographic online analysis and detection method and system, which adopts a chromatography-mass spectrometry combined system, realizes multi-scale time-frequency decomposition of signals by constructing an adaptive wavelet base function library, accurately identifies and classifies interference types in combination with a convolutional neural network and vacuum degree coupling analysis; a U-Net generator with an attention mechanism and a multi-scale discriminator are designed for signal repair aiming at repairable interference; a state transition model containing a mass-to-charge ratio database is established, empirical mode decomposition and adaptive filtering technology are used to realize dynamic calibration of a mass axis; quantitative accuracy is ensured through double internal standard correction and a triple verification mechanism; when unrepairable interference is detected, a hierarchical self-checking program is started, and fault diagnosis is carried out in combination with spectrum fingerprint analysis.

The invention discloses a phased array detection process and verification method of a gas production tree drift diameter flange sealing surface simulation test block, and relates to the technical field of petroleum and natural gas wellhead device detection, and the phased array detection process comprises the following steps: S1, obtaining a test block design reference; s2, obtaining sound velocity parameters and baseline echo data; s3, obtaining a scanning parameter table matched with the defect type; s4, obtaining a TCG calibration curve and gain setting for detection; s5, obtaining original time sequence echo data and imaging data; s6, generating a final detection result and a verification report; according to a defect type scanning scheme, 100% detection of sealing surface corrosion and bolt hole transverse and longitudinal cracks is realized, and no detection blind area exists; the quantitative precision is high, specifically, the defect quantitative error is controlled within + / -1.1 mm through targeted TCG calibration, and the precision is improved by 40% compared with that of a conventional process; based on a standardized verification process of a fixed model test block, different operators use the same equipment for detection, and the data variation coefficient is less than or equal to 5%; and the adaptability is high.

The invention discloses a net cage fouling degree intelligent identification system and method based on electromagnetic-optical fusion perception, and belongs to the technical field of net cage fouling degree intelligent identification. The system comprises a mobile scanning platform, an integrated multi-mode sensing unit and a central processing unit; the integrated multi-mode sensing unit comprises an optical imaging module, an electromagnetic characteristic detection module and a positioning auxiliary unit. The method comprises the steps of cooperative scanning and multi-modal data acquisition, data fusion and contamination intelligent identification, accurate positioning and coordinate mapping, global contamination mapping, quantitative evaluation and cleaning decision support. According to the invention, through optical and electromagnetic multi-mode perception fusion, the identification precision of the types of the fouling organisms and the quantification accuracy of the coverage rate are greatly improved, and especially in a turbid water body, the limitation of a traditional single vision method is effectively made up; based on the global fouling distribution map generated by the fusion positioning technology, the operation mode change from blind traversal to accurate targeting is realized.

The present application relates to the technical field of gas detection, in particular to a real-time mass spectrum analysis system for detecting volatile gas components of grain, which comprises a sample spectrum acquisition unit for obtaining original sample spectra at different depths, then weighting each depth original spectrum according to preset weight, and outputting characteristic fingerprint spectrum; a differential background suppression unit for acquiring real-time background spectrum, and using a closed-loop adaptive multi-scale background suppression method to remove background ion signals of the original sample spectrum based on the real-time background spectrum and the characteristic fingerprint spectrum, and generating a net characteristic spectrum without background; and a target VOC determination unit for determining target VOC in the grain pile based on the net characteristic spectrum through a triple verification mechanism. The system improves the recognition sensitivity and quantitative accuracy of the system for low-concentration target volatile compounds, enhances the adaptability and robustness of the system in a complex grain storage environment, and effectively avoids the misjudgment and missed detection problems existing in traditional methods.

This invention discloses a quantitative analysis system and method for overlapping gas components, belonging to the field of gas analysis and vacuum diagnostics technology. The system comprises: a vacuum chamber to be tested, a first valve connection, and a differential device connected in sequence; the differential device is connected to a mass spectrometry detection unit, a spectral detection unit, and a vacuum pump unit; the mass spectrometry detection unit is used to acquire ion current signals of the analyte gas in multiple mass-to-charge ratio channels; the spectral detection unit is used to acquire characteristic spectral signals of the analyte gas in multiple wavelength channels; a data processing and calculation unit is communicatively connected to the mass spectrometry detection unit and the spectral detection unit, respectively, to obtain and output the partial pressure or concentration of each candidate gas component. Overlapping gas components are those gas components that are difficult to accurately distinguish in mass spectrometry detection due to overlapping mass-to-charge ratio channel responses or overlapping or intersecting characteristic spectral lines in spectral detection. This invention improves the identification capability and quantitative accuracy of overlapping components.

The invention provides a water antibiotic pollution detection method and system based on spectral characteristics, and belongs to the technical field of water environment monitoring, analysis and detection.The method comprises the steps that firstly, a surface enhanced Raman spectrogram and oxidation-reduction potential time sequence data of a to-be-detected water sample are synchronously obtained; then, extracting a ratio of the characteristic peak intensity of the target antibiotic from the spectrogram to generate a first characteristic set, and meanwhile, performing wavelet packet decomposition on the potential data and calculating an energy entropy to construct a second characteristic set; then, splicing the two feature sets, and screening out a target feature subset highly related to the concentration through a mutual information maximization algorithm; finally, a support vector projection regression model trained based on a structural risk minimization mechanism is utilized, and accurate detection of the concentration of the target antibiotics in the water sample to be detected is achieved through kernel function mapping and hyperplane projection operation. According to the method, the anti-interference capability and the quantitative precision of antibiotic detection under the complex water body background are improved.

The invention relates to a detection method and application of an illegal additive cyclopropyl flualprazolam, and the detection method comprises the following steps: 1) adding methanol into a sample to be detected, extracting, centrifuging, and taking supernate for detection; (2) preparing a standard working solution from the standard substance cyclopropyl flualprazolam for qualitative detection or / and making of a standard curve; (3) respectively detecting the treated to-be-detected sample solution and the treated standard working solution by using a liquid chromatography-tandem mass spectrometry method; and 4) according to the obtained chromatogram of the standard working solution, correspondingly judging and detecting the chromatogram of the to-be-detected sample solution so as to obtain qualitative and quantitative results of the cyclopropyl flualprazolam in the to-be-detected sample. The method comprises the following steps: adding a to-be-detected sample into methanol for ultrasonic extraction, effectively dissolving the to-be-detected illegal additive into a to-be-detected solution, performing chromatographic column separation, and performing qualitative and quantitative analysis according to a liquid chromatograph-mass spectrometer. And optimization and methodological verification are carried out on different food matrix pretreatment methods, so that the quantitative accuracy of the method is ensured.

The invention relates to the technical field of intelligent weather forecast, in particular to a rainfall multi-source seamless fusion method and device based on dynamic error perception, electronic equipment and a storage medium, and the method comprises the steps: dynamically sensing the influence of a weather situation on a multi-source data error through a task-driven VQ-VAE model, adaptively optimizing a fusion weight, and improving the fusion precision; spatial optimal interpolation is realized in combination with a dynamic collaborative Kriging framework, continuous transition of an analysis field and a forecasting field in time and space is ensured by using a time-varying weight fusion technology, and a product jumping phenomenon is eliminated; the adopted semi-supervised mechanism maintains the physical interpretability of the model while reducing the dependence on the labeled data; and finally, through terrain constraint and independent site deviation correction, the product has both physical rationality and quantitative precision, and a reliable data basis is provided for meteorological and hydrological services.

This invention discloses a microfluidic chip and a quantitative extraction method for trace liquids. The device includes a quantitative unit, an auxiliary quantitative unit, and an extraction and transport unit. The quantitative unit can be selectively connected to either the auxiliary quantitative unit or the extraction and transport unit. When the quantitative unit is connected to the auxiliary quantitative unit, it is connected to a second microfluidic channel via a first microchannel, allowing the quantitative chamber and the equilibrium chamber to communicate. A portion of the liquid injected through the injection port fills the quantitative chamber for quantitative liquid extraction, while excess liquid flows to the equilibrium chamber for storage. When the quantitative unit is connected to the extraction and transport unit, it is connected to a third microfluidic channel via the first microchannel, allowing the quantitative liquid in the quantitative chamber to be extracted from the outlet. This invention achieves quantitative extraction of trace liquids while reducing the requirements for liquid driving precision, thus improving quantitative accuracy and ease of operation.

The application discloses an absolute quantitative correction method and device of a medical imaging equipment, and relates to the technical field of correction of nuclear medical imaging equipment. In the execution of the method, the actual activity concentration of a calibration phantom injected with a first known tracer activity is taken as a first activity concentration; then the activity concentration of the calibration phantom injected with the first known tracer activity in a first image domain acquired and calculated by the medical imaging equipment is taken as a second activity concentration; and finally, a correction factor is calculated based on the first activity concentration and the second activity concentration, and the correction factor is used for correcting the absolute quantification of the medical imaging equipment. In this way, the correction factor is calculated by comparing the activity concentration calculated by the medical imaging equipment with the actual activity concentration of the calibration phantom, so that the medical imaging equipment can accurately adjust the measurement results according to the correction factor when performing subsequent absolute quantitative analysis, and the effect of improving the absolute quantitative accuracy of the medical imaging equipment is achieved.

The invention relates to a method and a kit for detecting SMA related gene copy number based on an NGS technology. The detection method comprises the following steps: extracting DNA of a sample to be detected and constructing an NGS library; designing a specific capture probe based on SMN1 / SMN2 differential sites a, b and c, and performing whole exon sequencing to obtain original sequencing data; performing data preprocessing on the sequencing original data; selecting a human control gene set as a housekeeper gene candidate set, and screening n genes close to SMN1 and SMN2 whole exon sequencing depth from the housekeeper gene candidate set as housekeeper genes k; standardizing the sequencing depth of each housekeeping gene k, and normalizing to obtain a theta value; the average value of all housekeeping genes theta is recorded as a correction factor value theta, and the copy states of the SMN1 and SMN2 genes in the DNA sample to be detected are corrected. The method has the beneficial effects that the quantitative accuracy of the copy number of the SMN1 and SMN2 genes is improved, and meanwhile, the detection efficiency is improved.

This invention relates to a tunnel full-waveform inversion method based on spectral element forward modeling and physical information neural network, comprising: collecting engineering geological data and obtaining physical property parameters; establishing a two-dimensional finite element model and obtaining spatial information; constructing a wavefield model and performing wavefield forward modeling simulation to obtain synthetic full-waveform data; collecting measured waveform data and preprocessing it, performing time registration and normalization processing on the preprocessed measured waveform data and synthetic full-waveform data, and extracting multiple features; constructing a parameter training set; constructing and training a physical information neural network model, constructing a comprehensive loss function during the training process; and using the physical information neural network model to perform full-waveform inversion. This invention deeply integrates finite element forward modeling, full-waveform inversion, and physical information neural network, taking into account both data fitting and physical consistency, significantly improving the quantitative accuracy and reliability of tunnel advanced geological prediction.

The present application belongs to the field of analytical chemistry detection, and particularly relates to a nucleic acid lateral flow chromatographic test strip, a preparation method and application thereof, and aims to solve the technical defects of traditional lateral flow test strip, such as single target, low quantitative precision and insufficient sensitivity. The test strip is assembled from a sample pad, a combination pad, a nitrocellulose membrane, a water absorption pad and a PVC bottom plate, the combination pad is loaded with Au nanoparticle modified nucleic acid reporter probe, and the C line probe and the T line probe are fixed on the NC membrane; the test strip is targeted recognition mediated by strand displacement reaction, different types of targets are converted into M-DNA with the same sequence, after exponential amplification of the signal, quantitative detection is completed by using test strip color development combined with sampling and software analysis. The sensitivity can be as low as 0.18 pM for different analytes, and good specificity and stability are still maintained in complex matrix such as serum, and it is suitable for rapid quantitative analysis of multiple types of targets in the scene of instant detection.

The invention relates to the technical field of laser-induced breakdown spectroscopy, in particular to an LIBS (laser-induced breakdown spectroscopy) technology-based real-time processing and quantitative analysis system for spectral data, which comprises a laser emission module, a spectrum acquisition module, a real-time processing unit, a quantitative analysis module, an environmental parameter monitoring module and a remote communication module, the sub-second response speed is realized through an FPGA parallel processing architecture, the signal processing precision is improved by adopting an improved wavelet threshold algorithm and a self-adaptive peak position detection algorithm, and a multi-element analysis error is controlled to be lt through a matrix effect correction algorithm; 5%. The system is provided with an environmental parameter monitoring module and a remote communication module, achieves environmental interference suppression and remote data transmission, is suitable for rapid element quantitative analysis scenes in industries such as metallurgy, environmental protection and geological exploration, and has the remarkable advantages of being high in real-time processing capacity, high in quantitative precision, high in anti-interference capacity and the like.

The utility model discloses a steel wire rope nondestructive detector, which relates to the technical field of steel wire rope detection and comprises a displacement adjusting mechanism, a clamping and conveying mechanism, a placing groove, a placing seat, a clamping groove seat, a clamping groove, a sheath, a baffle plate and a steel bar group sample, the steel bar group sample clamping and conveying device is reasonable and simple in structure, low in production cost, convenient to install and complete in function, through cooperative operation of the clamping and conveying mechanism and the conveying mechanism, automatic clamping and conveying of a steel bar group sample for testing can be achieved, use convenience is improved, and the steel bar group sample is protected and limited through the protective sleeve; according to the utility model, different steel bars can be inserted to respectively test the continuous broken wire signal resolution, the LF detection sensitivity and the LMA quantitative accuracy of the steel wire rope nondestructive detector, so that the performance of the detector is comprehensively detected; the displacement adjusting mechanism is adopted to control the detector probe to move, magnetization and calibration of a steel bar group sample can be achieved, operation is easy and convenient, and the detection result is visual and reliable.

This application belongs to the field of electronic digital data processing and relates to a method for detecting subgrade moisture content using array radar based on the Topp model. The method includes: step S1, system preparation and field setup; step S2, synchronous data acquisition; step S3, dynamic CMP reconstruction and signal processing; step S4, establishing a Topp model considering compaction correction, including establishing a Topp model considering compaction correction to retrieve moisture content; and step S5, real-time moisture content retrieval and intelligent early warning imaging. The subgrade moisture content non-destructive testing system and method involved in this application integrates "high-efficiency array acquisition, accurate ray tracing retrieval, and multi-field coupling model correction," significantly improving the quantitative accuracy and physical authenticity of moisture content retrieval.

The utility model relates to a gas chromatograph for gas detection, and aims to solve the problems that the separation efficiency is low, the quantitative precision is not high, the stability of the instrument is influenced, the quantitative analysis precision is seriously influenced, and the quantitative analysis precision is influenced due to the problem of unstable gas flow in the use process of the conventional gas chromatograph. The device comprises an air inlet cylinder, an electric push rod is fixedly connected to the center of the bottom of the air inlet cylinder, the telescopic end of the electric push rod penetrates through the bottom of the air inlet cylinder and is fixedly connected with a push plate on the inner side of the air inlet cylinder, and the push plate is in sliding connection with the inner side of the air inlet cylinder. According to the utility model, gas is conveyed to the inner sides of the gas inlet cylinder and the centrifugal cylinder, and the push plate ascends at a constant speed to drive the internal gas to enter the chromatograph main body at a constant speed, so that the separation efficiency is obviously optimized, the quantitative precision is improved, the overall stability of the instrument is enhanced, and the analysis performance is further improved.

The application discloses a kind of double standard sample multispectral line correction LIBS quantitative accuracy promotion method, comprising: obtaining the LIBS spectral data of sample to be measured and two standard samples;From the LIBS spectral data, obtain the multiple characteristic spectral line data of the element to be measured of sample to be measured and two standard samples;According to characteristic spectral line data, the spectral line intensity correction factor of second standard sample is calculated;According to the spectral line intensity correction factor of second standard sample, the characteristic spectral line theoretical intensity of sample to be measured is calculated;According to the actual spectral line intensity of first standard sample and the characteristic spectral line theoretical intensity of sample to be measured, correction curve is established;According to correction curve, the content of element to be measured of sample to be measured is calculated.The application can significantly improve the accuracy of quantitative analysis of single-point multispectral line correction method by using double standard sample multispectral line correction algorithm, and make up the defect that the calculation process of calibration-free laser-induced breakdown spectroscopy algorithm is complicated.

The invention provides a gridding analysis method for micro-seismic activity energy plane evolution, and belongs to the technical field of coal mine safety. The method comprises the following steps: dynamically determining a grid division range based on a plane coordinate extreme value of a micro-seismic event in a target area, and dividing the area into rectangular grids with equal sizes through a preset grid side length parameter; counting an energy accumulated value of a micro-seismic event in each grid, and performing energy level conversion by adopting a logarithmic function to eliminate magnitude difference; and finally, a two-dimensional energy level distribution thermodynamic diagram is generated through an interpolation algorithm, and energy space aggregation characteristics and dynamic evolution laws are visually displayed. According to the method, by establishing the nonlinear mapping relation between the grid coordinates and the energy values and combining the thermodynamic diagram visualization technology, the problems that in a traditional method, energy distribution characterization is not sensitive, and the spatio-temporal evolution trend is difficult to recognize are effectively solved. According to the method, the quantitative precision and the dynamic monitoring efficiency of micro-seismic activity analysis are remarkably improved, and reliable technical support is provided for mine safety early warning.

The invention provides a quantitative analysis method of a saturated hydrocarbon compound. The quantitative analysis method comprises the following steps: step 1, mixing a sample and a deuterated reagent in a nuclear magnetic tube; 2, putting the nuclear magnetic tube into a magnet of a nuclear magnetic resonance spectrometer; step 3, loading a pulse program, and executing the polarization transfer module, the refocusing module and the sampling / decoupling module in sequence; step 4, analyzing the obtained sample monitoring spectrogram; wherein the refocusing time in the refocusing module comprises 1 to 120 data sets, and each data set comprises 3 to 5 pieces of time data; the refocusing module calls one piece of time data in the data set every time the refocusing module is executed, after all the time data of the data set are called, the time data of other data sets are called, the calling times of all the data sets are the same or different, and the times n meet the condition that n is larger than or equal to 1 and smaller than or equal to 100. The method disclosed by the invention has relatively high quantitative accuracy and relatively short detection time on the saturated hydrocarbon compound.

The present application relates to a kind of XRF detection methods of cadmium titanium plating solution, comprising the following steps: construct the three-layer detection structure of pure molybdenum substrate layer, cadmium titanium plating solution layer and PP plastic layer from bottom to top in turn;XRF detector is emitted from the side of PP plastic layer to the three-layer detection structure with X-ray, to carry out characteristic excitation to the element to be measured in the cadmium titanium plating solution layer and collect characteristic fluorescence signal;Based on the basic parameter algorithm built-in XRF detector, the concentration information of the element to be measured in the cadmium titanium plating solution layer is determined according to the characteristic fluorescence signal collected by XRF detector, by the above-mentioned mode, the consistency of liquid sample detection can be improved, complex background interference is reduced, and quantitative accuracy and long-term stability under the coexistence system of multiple elements are improved.

The invention provides a tunnel wall surface water leakage detection method and system. The method comprises the following steps: acquiring an original image of a to-be-detected tunnel wall; segmenting the collected original image of the tunnel wall to be detected into a plurality of sub-images; judging whether the subgraph contains leakage water or not; expanding the sub-graph containing the leakage water and then recombining the sub-graph to obtain a recombined image; and calculating the area of the water leakage points in the recombined image, and giving an alarm if the area of a certain water leakage point exceeds a threshold value. According to the invention, the position and area of leakage water can be rapidly identified, positioned, calculated and output, and the detection accuracy is high; the segmentation and accurate area calculation of tunnel wall leakage water can be realized based on an automatic inspection system, and the method is more efficient and accurate in quantization precision compared with a traditional mode.

The present disclosure relates to a multi-modal information fusion and large model collaborative Alzheimer's disease intelligent staging diagnosis system, which can solve the technical problems of insufficient utilization of multi-modal information, insufficient model interpretability, and separation of structured numerical analysis and semantic reasoning in existing Alzheimer's disease staging diagnosis. The system processes multi-modal data through a gradient boosting tree model to predict and stage AD, fully utilizes the complementarity and synergy of multi-source information to ensure the quantitative accuracy of the diagnosis results; at the same time, the Shapley value method based on cooperative game theory is introduced to explain the individual-level decision-making process of the model prediction results, making the model decision-making process traceable and interpretable. A review mechanism is designed to improve the judgment stability of the sample and the clinical reliability of the system. Finally, a large language model is used to integrate and reason the multi-modal information, generating a diagnosis report containing diagnosis basis and clinical suggestions to improve the clinical readability and credibility of the diagnosis results.

This application provides a method and system for detecting antibiotic pollution in water bodies based on spectral characteristics, belonging to the field of water environment monitoring and analysis technology. First, this application simultaneously acquires the surface-enhanced Raman spectrum and redox potential time-series data of the water sample to be tested. Next, the ratio of the characteristic peak intensities of the target antibiotic is extracted from the spectrum to generate a first feature set. Simultaneously, wavelet packet decomposition is performed on the potential data, and energy entropy is calculated to construct a second feature set. Subsequently, the two feature sets are concatenated, and a mutual information maximization algorithm is used to filter out the target feature subset highly correlated with concentration. Finally, using a support vector projection regression model trained based on a structural risk minimization mechanism, and through kernel function mapping and hyperplane projection operations, the accurate detection of the target antibiotic concentration in the water sample is achieved. This application improves the anti-interference capability and quantitative accuracy of antibiotic detection in complex water body backgrounds.

This application discloses a method and system for single-tree noise reduction prediction based on three-dimensional vegetation structure, belonging to the field of single-tree noise reduction prediction technology. The method includes: collecting point cloud data and noise attenuation data of single trees and classifying them; extracting vegetation structure parameters of the target point cloud from the classified point cloud data; calculating the correlation between the extracted vegetation structure parameters and the collected noise attenuation data, and obtaining the most significant influencing factor in the correlation as a model variable; constructing a single-tree noise reduction prediction model based on a support vector machine regression algorithm, and training the constructed single-tree noise reduction prediction model using different kernel functions; evaluating the prediction accuracy of the single-tree noise reduction prediction model under different kernel functions, and selecting the optimal kernel function for single-tree noise reduction prediction; wherein, the constraint calculation of the prediction model is converted into dual calculation through Lagrange multiplication to obtain the optimal kernel function. Addressing the low quantitative accuracy of single-tree noise attenuation effect prediction in existing technologies, this application improves the accuracy of quantitative prediction.

The utility model discloses an excrement sample collecting and detecting device and relates to the technical field of medical instruments. The device comprises a sampling rod and a tube body, a sampling groove for quantitatively collecting an excrement sample is formed in the sampling end of the sampling rod; the tube body comprises a dilution cavity, a scraping part, a liquid storage cavity, a release valve and a release nozzle. The scraping part is used for automatically scraping redundant samples outside the groove when the sampling rod is inserted, so that the quantitative accuracy is ensured; the liquid storage cavity is used for pre-storing a diluent, and the release valve is used for controlling release so as to dilute the excrement. The sampling, quantifying, diluting, uniformly mixing and exporting functions are integrated into a single device, so that the risks of sample exposure, cross contamination and the like as well as operation errors of multiple transfer can be effectively reduced, the operation is simple and convenient, professional training is not needed, and the device is particularly suitable for non-professional personnel to complete various rapid detection items in scenes such as homes, communities and the like; the detection efficiency and the user compliance can be improved, and the method has relatively high popularization and application potential and practical value.