17results about How to "Improve identification efficiency" patented technology

The application provides a battery management method, relates to the technical field of battery application, and can improve the identification accuracy and efficiency of electrochemical parameters of a liquid metal battery. The method comprises the following steps: determining to-be-identified parameters of the liquid metal battery and parameter ranges of the to-be-identified parameters; analyzing the sensitivity of each parameter to voltage output under target and non-target discharge working conditions, and grouping the parameters into high-sensitivity and low-sensitivity parameter sets according to the sensitivity; inputting the measured voltage of the target working condition into a pre-trained CNN to output preliminary estimated values of the parameters; based on the preliminary estimated values, under the non-target working condition, searching for the high-sensitivity parameter set in the parameter range of the high-sensitivity parameter set to obtain a stage identification result, with the root mean square error of the simulated and measured voltages being minimized as the target; under the target working condition, taking a preset range of the preliminary estimated values as a search boundary, allowing the stage identification result to change within a fine-tuning interval, searching for the remaining parameters, and obtaining a target identification result; and determining a battery health state based on the target identification result.

The invention provides a 20K liquid phase chip for simultaneously and accurately identifying various goose varieties and application, the 20K liquid phase chip covers 22005 SNP molecular markers, and the SNP molecular markers are specifically composed of a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt The SNP molecular marker is composed of 4991 genetic differentiation specific sites, 12 important character associated sites and 17002 whole genome background sites of 22005 goose varieties, and the specific positions of the 22005 SNP molecular marker sites are shown in a table 1 in the specification. According to the method, 16 goose varieties can be accurately distinguished, the identification efficiency is high, the detection process can be completed within 24 hours, 48-96 samples can be detected at a time, and the technical repetition rate is gt; the cost of the chip is far lower than that of a high-density chip, and the chip is suitable for carrying out multi-variety and large-scale germplasm monitoring and identification work in a breed conservation field, a research and development unit and the like, and is high in practicability.

This invention relates to the field of spectral analysis and identification of genuine and counterfeit Chinese medicinal materials, and discloses a method for identifying counterfeit Cordyceps sinensis based on multispectral fusion. This method first collects multispectral image data of samples under standard conditions; eliminates equipment and environmental noise through standardized preprocessing to establish a reliable data foundation; then, it fuses extracted spectral derivative features and spatial texture features to construct a lightweight neural network identification model. Its core innovation lies in introducing a physical interference stripping model, which can actively correct spectral distortion caused by moisture and mold, obtaining intrinsic spectra to improve model robustness; and through dynamic verification and incremental learning mechanisms, the model can continuously evolve, effectively identifying new counterfeiting methods. Finally, the entire model is integrated into a multispectral portable terminal, achieving rapid screening within seconds and outputting a complete report including authenticity determination, type inference, and confidence level. Ultimately, this solves the industry problems of low efficiency, reliance on experience, and inability to be applied on-site by traditional methods.

This invention discloses a SNP molecular marker associated with mung bean resistance to the bean weevil and its application in genetic breeding. The problem this invention aims to solve is how to identify mung bean resistance to the bean weevil. The SNP molecular marker is a locus (SNP site) on mung bean chromosome 4, with a nucleotide type of T or C, located at nucleotide position 164 of sequence 3 in the sequence listing. This invention provides the application of substances for detecting polymorphisms or genotypes of SNP sites in the mung bean genome in identifying or assisting in the identification of mung bean resistance to the bean weevil. This invention can be used to assist in the identification of mung bean resistance to the bean weevil, for early screening of mung beans, and for marker-assisted breeding of mung beans.

This invention discloses an autonomous inspection method for equipment protection based on a distribution network diagram, belonging to the field of power equipment inspection technology. The method includes: obtaining an electrical coupling observation matrix and a state transition matrix based on historical electrical operation data and historical power grid topology; constructing a hidden state vector through the states of suspected changing nodes and suspected changing branches; using a hidden Markov model based on the state transition matrix and the electrical coupling observation matrix to obtain effective changing nodes and effective changing branches; reconstructing the power grid topology based on the effective changing nodes and effective changing branches; obtaining power grid equipment parameters and line parameters according to real-time power grid measurement data and the power grid topology to reconstruct a real-time distribution network diagram; and obtaining theoretical coordination protection constraint values ​​and theoretical protection settings across equipment, comparing them with actual coordination protection constraint values ​​and theoretical protection settings to obtain the inspection status of protection equipment. This method solves the technical problem that existing technologies struggle to improve the reliability and comprehensiveness of protection equipment inspection.

The application discloses a kind of based on complex-valued neural network three-phase grid-connected inverter admittance identification method, it is related to power electronics field.The method includes: after constructing the small signal flow graph of three-phase grid-connected inverter in synchronous coordinate system, the port admittance matrix under steady-state operating point is constructed, the corresponding characteristic polynomial is determined and factorized, and the unified pole set is obtained;Based on the pole-residual expansion of the port admittance matrix of unified pole set, the transfer function of the elements in the port admittance matrix is determined;Complex-valued neural network and its loss function are constructed;Complex-valued neural network is trained by loss function;The operating condition information and frequency point of grid-connected point are input into complex-valued neural network, and the port admittance under current operating condition is obtained.The method has the technical advantages of low calculation amount, high identification efficiency, supporting multi-condition fast identification and high physical interpretability of fitting result.

The embodiment of the application provides a drug component identification method and related equipment, and belongs to the technical field of drug identification. The method comprises the following steps: obtaining preset drug sample data, including positive drug sample data and negative drug sample data, wherein the positive drug sample data comprises a first thin layer chromatogram, and the negative drug sample data comprises a second thin layer chromatogram; constructing a model training atlas set through the first thin layer chromatogram, so as to train a preset twin neural network model, and obtain a first twin neural network model; constructing a model test atlas set through the first thin layer chromatogram and the second thin layer chromatogram, so as to optimize parameters of the model in combination with the model training atlas set, and obtain a target neural network model; and inputting a to-be-identified thin layer chromatogram into the target neural network model for component identification analysis, and obtaining a component identification result. The embodiment of the application can try not to use control samples and control medicinal materials in drug identification, so that the economic, green and environmentally-friendly purposes are achieved.

This invention relates to the fields of molecular biology and genetic breeding, and particularly to the dCAPS marker associated with the length of adventitious roots in wheat under waterlogging stress and its application. This dCAPS molecular marker is based on the 234,677,747th base of wheat chromosome 6B; the SNP base difference is either C or T. This molecular marker is accurate and efficient to detect, convenient and stable to amplify, and can be used for marker-assisted selection to improve the efficiency and accuracy of identifying the waterlogging stress resistance of wheat plants.

This application discloses a method, apparatus, device, and medium for glycoform identification. The method involves acquiring user-input configuration parameters and associating these parameters with a pre-established glycoform database. Based on the mass spectrometry data corresponding to the free polysaccharide, the method extracts the mass-to-charge ratio (M / C ratio) array of the single ion corresponding to the free polysaccharide. In the glycoform database, the method searches and matches the glycoforms corresponding to the free polysaccharide according to the single ion M / C ratio array to determine the identification result of the glycoform contained in the target sample. This method can improve identification efficiency and accuracy and helps reduce labor costs. This application can be widely applied in the field of bioinformatics.

This invention relates to the field of computer vision and image recognition technology, and discloses a method and system for visually identifying the authenticity of cards based on floral anti-counterfeiting features. The method includes: macro imaging and adaptive preprocessing of the floral area, extraction of the floral line skeleton based on curvature flow analysis, hierarchical encoding of floral features and construction of multidimensional fingerprints, depth comparison based on Fourier descriptors and KL divergence, and counterfeit detection and comprehensive judgment based on generative adversarial networks. The accuracy rate of floral anti-counterfeiting feature recognition reaches 99.2%, the detection rate of high-quality counterfeit products reaches 98.5%, and the identification time per card is less than 3 seconds.

The invention belongs to the field of volatile substance basic detection, and provides a cigar wood packaging material volatile substance analysis method, which comprises: treating a wood to be detected by using a simultaneous distillation extraction method to obtain an extract; mixing the extract with an internal standard substance to obtain an analysis sample; carrying out quantitative and qualitative detection on volatile components of the analysis sample by adopting a GC-MS (Gas Chromatography-Mass Spectrometer) method, and taking detected compounds with the similarity greater than 80 as the analysis sample; the analysis samples are classified according to the differences of the properties and the chemical structures of the compounds, and whether the wood to be detected is cedar or not is judged according to the types and the numbers of terpene substances and ester substances. The method can be used for identifying the cigar wood packaging material, and provides a new research method and thought for the comparison and identification of wood, grading and the research of natural active substances in aromatic wood in the future.

The present application relates to rubber tree seedling breeding field, specifically to a kind of in rubber tree seedling high-efficiency rapid selection high-yield single plant method, comprising the following steps: S1: 2 age rubber tree seedling is sawed, according to the amount of latex flowing out of horizontal sawing surface, preliminary selection is carried out, and preliminary selection seedling is selected;S2: preliminary selection seedling is continued to cultivate 24-48 hours, and on the basis of horizontal sawing surface, continue to cut off 0.2-0.4 cm, according to the amount of latex flowing out of horizontal sawing surface, reselecting is carried out, and reselected seedling is selected;S3: reselected seedling is continued to cultivate 24-48 hours, and on the basis of horizontal sawing surface, continue to cut off 0.2-0.4 cm, according to the amount of latex flowing out of horizontal sawing surface, approval selection is carried out, and approved seedling is obtained;S4: approved seedling is continued to cultivate 20-30 days, and latex is collected for detection, according to the sucrose content of obtained latex, final selection is carried out, and high-yield single plant is obtained.The present application method can be screened at 2-3 age in seedling stage, and the method steps are simple, low in cost, high in screening accuracy.

The invention provides a reactive power equipment equivalent modeling method considering the response characteristics of an embedded direct current system, and the method comprises the steps: dividing reactive power equipment into different types according to the static response characteristics and transient response characteristics of the reactive power equipment in a regional power grid under the fault of the embedded direct current system, and selecting corresponding models for representation; based on the selected model, respectively calculating the sensitivity of parameters of the model on voltage change, sorting the parameters, and screening out a high-sensitivity parameter group and a low-sensitivity parameter group according to a sorting result; and parameters in the high-sensitivity parameter group are identified and optimized by adopting an improved genetic optimization algorithm, parameters in the low-sensitivity parameter group are assigned by adopting a capacity weighting method, and refined equivalent modeling is completed. The method can accurately reflect the influence of the fault transient characteristics of the embedded DC system on the reactive power equipment, improves the steady-state and transient precision of the equivalent model, and provides technical support for the voltage stability control and fault recovery of an AC / DC hybrid power grid.

The application belongs to the field of agricultural biotechnology engineering, and particularly discloses a rice seedling cold tolerance site qCTS4, a molecular marker thereof and application. The molecular marker is a site qCTS4 located at 32446985 bp of chromosome 4, which is significantly related to seedling cold tolerance, and seedling cold tolerance of the site carrying A nucleotide allelic variation germplasm is extremely significantly stronger than that of the germplasm carrying G nucleotide allelic variation. The identification method of the rice seedling cold tolerance is accurate and reliable.

This application relates to the technical field of coin authentication, and in particular to an automated method and system for coin authenticity authentication based on multispectral image fusion. The method determines the type information of the coin to be authenticated, and moves the coin to be authenticated to either a banknote authentication position or a coin authentication position based on the type information. For the banknote authentication position, multispectral image detection and microscopic feature detection are performed to generate authenticity information. For the banknote authentication position, creases and moisture spots are identified to generate condition information. For the coin authentication position, alloy composition and patina elements are detected to determine authenticity information. For the coin authentication position, data acquisition and model construction of the three-dimensional morphology are performed to obtain condition information.

The application discloses a surface heat flow identification method, device, medium and system based on numerical calibration, belongs to the heat flow identification field, and comprises the following steps: setting an initial heat flow; solving a non-steady heat transfer equation, calculating a first measuring point temperature, and then calculating a residual error, which is a test temperature; updating a boundary heat flow = +, which is a current surface heat flow and a calibration heat flow; solving the non-steady heat transfer equation to obtain a second measuring point temperature, and then calculating a calibration temperature; using the residual error, the current surface heat flow and the calibration heat flow, and bringing them into an integral formula (8) to solve and obtain a heat flow corresponding to the residual error; and updating estimation. The application reduces the calculation amount, improves the calculation efficiency, and widens the application range.