367 results about "Rapid identification" patented technology

The invention discloses a rapid identification and comprehensive evaluation method for a polygonatum cyrtonema provenance, and belongs to the field of improved variety breeding and quality control of traditional Chinese medicinal materials. The method systematically measures a plurality of specific biological traits covering three dimensions of growth, physiology and medicine. And carrying out standardization processing on the measured multi-dimensional data, carrying out dimensionality reduction by using a principal component analysis model, constructing an evaluation model capable of comprehensively reflecting the comprehensive quality of the provenance, and calculating a quantitative comprehensive evaluation score. The score can objectively and scientifically divide different provenances into four different quality grades including excellent, good, common and to-be-improved quality grades. The method has the beneficial effects that the strong positive correlation between the easily measured growth traits of the overground part and the medicinal component content of the underground rhizome for determining the final quality of the medicinal material is established, so that the rapid, predictive and non-destructive early screening of the provenance quality is realized.

The invention discloses a rainfall intensity rapid identification method and system based on multi-sensor data fusion, and relates to the technical field of hydro-meteorological monitoring and urban drainage scheduling, and the method comprises the steps: obtaining a historical rainfall data set, drawing a peak curve, and extracting an evolution sequence feature before a peak value; correlation analysis is carried out on the data and complete rainfall process characteristics to establish a historical rule model; rainfall intensity data are collected in real time through multiple sensors, and space-time dimension features are fused; matching the fusion features with historical features, and screening target historical events; constructing a rainfall reproduction prediction model to reconstruct a current rainfall evolution process; and finally, calculating an inflow load based on a reconstruction result, and generating a dynamic drainage scheduling scheme. According to the invention, accurate prediction of the rainfall process and intelligent scheduling of the drainage system are realized, and the urban waterlogging prevention capability is improved.

The invention relates to the technical field of plant genetic engineering, and discloses a haplotype identification marker of a rice flood-resistant gene ARF9 and application of the haplotype identification marker. The molecular marker is derived from an exon of an ARF9 gene, is located at the 22009082bp and 22010019bp of a No.4 chromosome of rice, and has a basic group of C. The SNP molecular marker is related to the waterflooding resistance of a male parent oryza longistaminate of perennial rice, and the waterflooding resistance of the male parent oryza longistaminate with a locus genotype of CC is obviously higher than that of rice with a locus genotype of non-AA type. Therefore, the invention provides the loop-mediated isothermal amplification primer group for rapidly identifying the ARF9 gene haploid molecular marker, and the loop-mediated isothermal amplification primer group is used for identifying the ARF9 gene haploid molecular marker so as to rapidly screen out waterflooding-resistant rice. The invention provides a group of primers, the flood-resistant rice can be quickly identified by adopting the primers to perform loop isothermal reaction, the detection cost is low, the detection speed is high, the flood-resistant germplasm can be quickly screened in the rice seedling stage by adopting the method provided by the invention, a time-consuming flooding test does not need to be performed in the later stage, and the breeding process is greatly accelerated.

The invention relates to the technical field of soil cadmium remediation, in particular to a soil Cd recognition and remediation method based on mulberry root exudates and microorganisms. According to the method, spatial microscopic image frames of rhizosphere microflora are divided through a community structure, community node increment updating calculation of adjacent time sequences is executed, the transition recombination frequency of the rhizosphere microflora is obtained, and the transition color of the actual concentration content of root exudates is rendered based on a metal pollution level system and the transition recombination frequency. Generating a stress level heat model of the soil cadmium gradient in the target restoration area; and according to the stress level popularity model, carrying out popularity color analysis and identification on the soil cadmium pollution of the target restoration area, and generating a global stress identification result of the soil cadmium. According to the method, rapid identification of cadmium pollution enrichment can be realized by utilizing the synergistic response between mulberry root exudates and rhizosphere microorganisms, and a repair regulation and control plan is made, so that the cadmium pollution degree is reduced, the soil structure and fertility are optimized, and a safer and healthier environment is provided for plant growth.

The invention relates to the technical field of application computer science and artificial intelligence, and discloses a highway pavement disease rapid identification and diagnosis system based on deep learning, and the system comprises a data collection and preprocessing module which is used for obtaining and processing multi-source time series data; the unified state vector characterization module is used for constructing a unified vector for characterizing the comprehensive state of the pavement; the spatio-temporal evolution and inference module is used for simulating the spatio-temporal evolution process of the pavement state; the model training and optimizing module is used for carrying out optimization training on the evolution model; and the diagnosis and prediction application module is used for generating a final diagnosis report and maintenance decision. According to the method, the development trend of the pavement diseases and the effects under different maintenance scenes are deduced and simulated through the spatio-temporal depth model jointly constrained and optimized by physical and causal knowledge, a complete closed loop of the pavement diseases from static recognition to dynamic diagnosis and decision making is realized, and the scientificity and the intelligent level of road maintenance management are improved.

The invention discloses a forest fire rapid identification and accurate fire point positioning method based on air-ground cooperation. Comprising the following steps: a forest fire panoramic monitoring and positioning method based on a double-axis holder, a wildfire target intelligent identification algorithm based on multi-modal image fusion analysis, and a low-power-consumption air-ground cooperative communication network oriented to forest fire monitoring. The invention relates to an unmanned aerial vehicle-based forest wildfire target maneuvering inspection and positioning method and an air-ground fusion wildfire target accurate positioning method. According to the invention, 360-degree panoramic image acquisition is realized by using the double-shaft holder, and meanwhile, a fire source position self-adaptive adjustment mechanism is provided; multi-modal image fusion analysis is adopted in the image processing layer to resist interference, blind areas are compensated, and the fire source recognition accuracy is improved; a low-power-consumption air-ground cooperative communication network is constructed, so that the cost is reduced, and flight is continued; and the monitoring limitation is broken through by means of flexible inspection of the unmanned aerial vehicle, a closed-loop system of air-ground cooperation-information complementation-intelligent verification is formed, and the monitoring stability in a complex scene is remarkably enhanced.

The invention belongs to the technical field of soybean molecular genetic breeding, and discloses a KASP marker for detecting an SNP site related to a soybean petiole included angle and application of the KASP marker. The SNP site is located at the 4589285th site on a chromosome 10 of a soybean reference genome Glycine max Wm82. A4. V1, and the site is subjected to C / T basic group replacement. Three KASP primers as shown in SEQ ID NO.2-4 are developed according to the SNP site, PCR amplification and genetic typing are performed on to-be-detected soybeans by using the primer group, and if a detection result shows that the genetic typing of the marker position is 1 / 1, it is judged that the petiole angle of the soybean variety is large; and if the detection result is 0 / 0, judging that the petiole angle is small. The SNP molecular marker can be used for molecular marker-assisted selection of soybean petiole included angle characters, and has important theoretical and practical guiding significance for accelerating genetic improvement of soybean compact plant types and improving breeding selection efficiency. The marker can rapidly identify the soybean petiole included angle, the method is simple and rapid, the identification result is accurate, and the marker has good popularization and application prospects.

The invention discloses a battery cluster short circuit rapid identification method and device based on voltage sag. The method comprises the following steps: acquiring a total voltage real-time value of a battery cluster in a current detection period; calculating an inter-frame total voltage change real-time value of the battery cluster based on the total voltage historical value of the battery cluster in the previous detection period; judging whether the inter-frame total voltage change real-time value is greater than or equal to a preset voltage abrupt change threshold value or not; and if yes, judging that the battery cluster has a short-circuit fault, and triggering a protection action. The inter-frame change of the total voltage of the battery cluster is monitored in real time and compared with the preset threshold value, millisecond-level rapid identification and protection of the full-range short-circuit current are achieved, and the technical problem that in an existing energy storage system protection system, due to the inverse time limit characteristic of a circuit breaker and the BMS delay criterion, medium and low short-circuit current cannot be rapidly cut off is effectively solved.

The invention discloses a construction method and application of a protein fingerprint spectrum of Tilletia foetida teliospore. The method comprises the following steps: firstly, preparing immunomagnetic beads by using a monoclonal antibody for resisting Tilletia foetida teliospore, wherein the immunomagnetic beads are used for specifically enriching target teliospore in a wheat sample; then, the captured magnetic bead-teliospore compound is placed in a formic acid-acetonitrile solution and subjected to efficient cracking through steel ball grinding, and internal protein of the teliospore is released. The released protein is subjected to MALDI-TOF-MS analysis, so that a protein fingerprint spectrum of the protein is obtained, and a characteristic protein fingerprint spectrum database of the fungal spores is constructed. The rapid identification of the Tilletia foetida teliospore is realized by comparing and analyzing the mass spectrum of the sample to be detected and the self-established database. The detection time is shortened to be within 1 h, the sensitivity reaches up to 105 spores per gram of samples, and the method has the advantages of being simple, convenient, accurate and efficient and is particularly suitable for on-site rapid screening in the field of food quality safety.

The invention discloses a novel squid quality degree grading judgment method based on physical and chemical indexes of freshness, which comprises the following steps: selecting different squids as samples, respectively carrying out volatile basic nitrogen content detection and total texture analysis on the squids, measuring the freshness and the physical and chemical indexes of the squids, carrying out Pearson correlation on the two, and determining the quality degree of the squids. Through principal component analysis and combination of TVB-N content on a freshness limit value of an animal aquatic product, texture physicochemical indexes having the greatest influence on squid quality grading are found. According to the method, the quality of the squids can be quickly judged by performing texture analysis on the squids, combining with the limit value of the content of volatile basic nitrogen in animal aquatic products in national standard and measuring the elasticity index of the sample, so that quick quality grading judgment can be performed on the squids on the basis, and scientific guidance is provided for further quick quality identification of marine foods.

The application discloses a set of molecular targets, primer compositions, methods and applications for identifying respiratory pathogens, the respiratory pathogens are novel coronavirus, influenza A virus and respiratory syncytial virus, and nucleotide sequences of the molecular targets are shown as SEQ ID NO:1-3. The application provides molecular targets, primers and probes for detecting three respiratory pathogens, and establishes a triple real-time RT-RAA detection technology, which can realize rapid identification and differentiation of three respiratory infectious disease pathogens with similar clinical symptoms within 30 minutes, reduces the operation threshold of the existing detection technology, realizes the target of rapidly, simply and accurately identifying and differentiating the three viruses, meets the needs of early clinical diagnosis of infection, provides technical support for precise medication, and has wide application value.

This invention relates to a rapid identification method Lactobacillus plantarum The method for identifying strains, belonging to the field of species and strain identification, is based on the differences in three DNA barcode sequences. Lactobacillus plantarum CGMCC NO: 26171 strain from Lactobacillusplantarum This method allows for rapid identification from other strains of the same species. Compared to traditional morphological identification methods, the standard gene sequence obtained is beneficial for the molecular identification of *Lactobacillus plantarum* strains, effectively shortening the identification time. Three pairs of DNA barcoding primers enable specific amplification of the test strain, allowing for rapid identification. Lactobacillus plantarum strains.

The application belongs to the technical field of biology, and discloses a molecular marker related to soybean crude oil content on chromosome 20 and application thereof. The application uses QTL positioning analysis combined with KASP marker development to analyze soybean crude oil content, obtains a KASP marker Gm_Chr20_43605309 which is stably and reliably linked to crude oil content and is located at position 43605309 on chromosome 20 of soybean, and designs a primer group corresponding to the KASP molecular marker Gm_Chr20_43605309. The application further provides a method for rapidly identifying the crude oil content of soybean by using the primer group of the KASP, which is simple and fast, accurate in identification result, and has a good application prospect.

The invention belongs to the field of molecular breeding, and particularly discloses a molecular marker for identifying the width of tartary buckwheat seeds, a molecular marker primer group and application of the molecular marker, the SNP site of the molecular marker is located at the 22515278 bp position of the first chromosome of a tartary buckwheat reference genome, and the base polymorphism of the molecular marker is G / T; according to the invention, an F2 segregation population constructed by a wide-grain material KQ-1 and a narrow-grain material JQ-2 is subjected to whole genome re-sequencing and correlation analysis of grain width phenotype data, and an SNP locus which is extremely remarkably related to grain width is identified in a 22.51 Mbp interval of a first chromosome of tartary buckwheat; the genotype of the locus is highly consistent with the grain width phenotype, and the locus can be directly used for rapid identification of tartary buckwheat germplasm resources, early screening of filial generations and molecular marker-assisted breeding of high-yield tartary buckwheat varieties, and has important application value.

The invention discloses a culture medium for identifying gardnerella vaginalis, and relates to the technical field of bacterial culture media, the key points of the technical scheme are as follows: the culture medium comprises the following raw material components by concentration: 10.0 g / L of casein pancreatin digest, 3.0 g / L of cardiac pancreatin digest, 5.0 g / L of yeast extract powder, 1.0 g / L of corn starch, 5.0 g / L of sodium chloride and 13.0 g / L of agar, and the final concentration of defiberized sheep blood is 5%. The pharmaceutical composition is prepared from 1 mg / mL of sodium alginate, 1 mg / mL of sodium alginate, 1 mg / mL of polyanethole Sulfonate (SPS) and 10 [mu] g / mL of vancomycin. According to the invention, through optimal combination of specific components and dosages thereof, rapid identification and screening of gardnerella vaginalis can be realized, and the method has the advantages of accurate result, strong specificity and the like, and has practical popularization and application values.

The application provides a building group structure type identification method and device based on a multi-modal large model, and relates to the technical field of multi-modal large models.The method comprises the following steps: extracting observable building features through a multi-modal large model; establishing a graph-enhanced multi-modal large model to match and reason the features and a knowledge graph; introducing an expert review mechanism to correct the identification results, dynamically update the knowledge graph, and fine-tune the graph-enhanced multi-modal large model; establishing a city building group rapid identification system, using the knowledge graph to establish a rapid identification model based on deep learning and an interpretable identification system based on the graph-enhanced multi-modal large model.The application combines the rapid classification of deep learning and the interpretable reasoning ability of graph enhancement, and constructs a structure identification closed-loop system with self-learning and self-updating capabilities.The application is suitable for city building census, seismic evaluation, BIM-assisted modeling and other scenes, and has high accuracy, strong generalization and continuous evolution capabilities.

The invention discloses a method for detecting polypeptide sequence difference and post-translational modification thereof based on a nanopore system, the nanopore system is constructed in the method, and the nanopore system comprises an alpha-hemolysin nanopore and octa-amino modified gamma-cyclodextrin embedded in the nanopore; the amino acid sequence of the alpha-hemolysin nanopore comprises mutation sites M113R and T145R, and the alpha-hemolysin nanopore is characterized in that the alpha-hemolysin nanopore According to the detection method, polypeptide with negative charges enters a nanopore under the driving of external voltage, an ion current blocking signal is recorded, and the polypeptide sequence difference and post-translational modification are analyzed according to blocking amplitude, duration, noise characteristics and event frequency. The method can detect a peptide chain with the length of 2-10 amino acid residues, can distinguish the post-translational modification state in homopolypeptide composed of 4-10 amino acids and polypeptide by single amino acid resolution, and can be used for protein enzyme digestion product analysis, oligopeptide drug detection and rapid polypeptide identification under the condition of no mass spectrum.

The application belongs to the technical field of biology, and discloses a molecular marker related to soybean crude oil content on chromosome 9 and application. The application measures the crude oil content of soybean grains, and through QTL positioning analysis, a stable and reliable molecular marker Gm_Chr09_5332672 closely linked to the crude oil content is obtained, the molecular marker is located at the 5332672th position on the 9th chromosome of the soybean reference genome Glycine max Wm82.a4.v1, a marker for KASP detection is developed based on the position, and a primer set for amplifying the KASP marker is designed. The application further provides a method for rapidly identifying the crude oil content of soybean by using the primer set of the molecular marker, the method is simple and fast, the identification result is accurate, and has a good popularization and application prospect.

The invention discloses a concrete interface transition area thickness rapid identification method based on semantic segmentation. The method comprises the following steps: 1, cutting a concrete test piece; 2, performing 3D scanning on the test piece; 3, constructing training sample data; 4, designing a semantic segmentation network model; 5, training the network model; 6, obtaining a prediction result; and step seven, ITZ thickness information is extracted. According to the method, the ITZ thickness is identified through the 3D scanning data, the identification range is larger, and the identification efficiency is improved; the pretreatment of the sample does not require an experimenter to have a higher experiment level, and meanwhile, the subsequent processing of data to obtain the thickness information of the ITZ is automatic operation, so that human intervention is basically not needed, and the operation is simple; by using the strong feature extraction capability of the semantic segmentation network, automatic identification of the ITZ is realized, human intervention is reduced, a relatively objective identification result is given, and the identification precision and reliability are improved.

The application discloses a kind of earth-rock dam leakage detection patrol and rescue method, which comprises the following steps: S1: rapid identification;S2: accurate positioning;S3: plugging seepage.The application uses the technical equipment system of leakage danger rapid identification, accurate positioning and efficient disposal, constructs online information integration management visual decision support system platform, perfects the earth-rock dam leakage rescue technology system, realizes the rapid identification, accurate positioning and efficient disposal of earth-rock dam danger.

The invention discloses an insect pest situation prediction solution based on an artificial intelligence algorithm, and mainly relates to the technical field of agricultural insect pest prediction and early warning, machine learning and computer artificial intelligence. The method is characterized by comprising the following steps: establishing a pest recognition training model through AI deep learning; through cooperation of the front-end pest shooting and recognition module and the server-side pest situation and pest analysis and prediction platform, quick recognition of pests and accurate early warning of pest situations are realized. The labor cost, the management cost and the learning and training cost are saved, and the detection accuracy is 99.7%. According to the solution, under the condition that the input training sample is adjusted, identification and prediction of various common agricultural pests can be realized, and the solution has positive significance in guiding farmers to establish a pest response scheme in advance according to crop types.

1. Name of the product in this design: Microbial community analyzer. 2. Application of this design: This design is used for the rapid identification, counting, and quantification of the activity of target microorganisms in bacterial communities. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses a disturbance suppression device and method based on FPGA frequency rapid identification, and belongs to the technical field of tracking control. The device comprises a disturbance tilting mirror, a control tilting mirror, a target, an image sensor and a parallel filtering frequency identification module based on FPGA. When the device is running, the laser emitted by the target is reflected to the control tilting mirror via the disturbance tilting mirror, and then is reflected to the image sensor by the control tilting mirror. The image sensor provides the boresight error. The parallel filtering frequency identification module based on FPGA identifies the time-varying multi-frequency narrow-band disturbance of the boresight error. Then, the control algorithm of the control system containing the error observer calculates the deflection amount of the control tilting mirror. The deflection of the control tilting mirror is driven based on the deflection amount, so that the light beam is kept at the optical axis target position. The disturbance tilting mirror is used to simulate the time-varying multi-frequency narrow-band disturbance from the optical link. The application realizes the rapid and accurate capture of the disturbance characteristics under the condition of time-varying multi-frequency narrow-band disturbance.

The application discloses a molecular marker, primer, method and application for identifying tobacco root rot Fusarium proliferatum, and belongs to the technical field of plant disease molecular detection. The molecular marker is a nucleotide sequence shown in SEQ ID NO. 1, and can accurately distinguish tobacco root rot Fusarium proliferatum from its close species, i.e., Fusarium solani, Fusarium equiseti and Fusarium oxysporum. The specific primer pair based on the marker is composed of FPITS-3F (5'-GCTTGCCGCAAGGGCT-3') and FPITS-3R (5'-AAGGTCTCCGTTGGTGAACC-3'). The target bacteria can be rapidly identified by using the primer pair to perform PCR amplification and detecting whether a 396 bp characteristic band exists in the amplification product. The primer has high specificity and has no cross reaction to the above close species. The sensitivity is high, and the lower limit of detection of genomic DNA is 1*10-3 ng*muL-1, and the spore detection sensitivity in soil is 1 CFU / g. The method is simple in operation, and the detection can be completed in 2 hours only by using a common PCR instrument, and is suitable for early rapid diagnosis, monitoring and early warning in laboratories and production lines.

The present application relates to the field of biotechnology, and more particularly to a mylopharyngodon piceus gender-specific molecular marker, primer and application thereof, wherein the primer designed for the molecular marker is used for PCR amplification, and the genetic sex of the mylopharyngodon piceus can be accurately and rapidly identified. The molecular marker presents stable difference between male and female individuals, and the identification accuracy is 100%. In addition, the molecular marker can be stably applied to mylopharyngodon piceus of different specifications and different breeding strains, and shows good universality and reliability. The present application provides important technical support for the unisexual breeding, germplasm resource management and population structure monitoring of mylopharyngodon piceus, and has wide application prospect.

The application discloses a brain injury identification method and an identification system. The identification system identifies the injury of a patient according to the identification method. The identification method comprises the following steps: firstly, the electrical impedance tomography (EIT) of the brain of the patient is performed to obtain the EIT image of the brain of the patient; then, the region with abnormal resistivity distribution in the EIT image of the brain is taken as a reference for scanning of a near-infrared spectrometer, and a scanning path of the near-infrared spectrometer is planned; finally, the near-infrared spectrometer is scanned along the scanning path, and the lesion range and the lesion type are determined according to the obtained near-infrared spectral data. The electrodes need not be arranged on the whole head of the patient, and the automatic and rapid identification of the lesion range and the nature of the brain injury is realized.

The application provides a primer probe set, a kit and application for quantitatively detecting murine infectious agents, and belongs to the technical field of genetic engineering.The six-reagent quantitative detection kit (fluorescent PCR method) for tsutsugamushi oriental body, fever with thrombocytopenia syndrome virus, prrillonella, hantavirus, leptospira, and rickettsia mooseri can detect the six pathogenic targets of tsutsugamushi oriental body, fever with thrombocytopenia syndrome virus, prrillonella, hantavirus, leptospira, and rickettsia mooseri in one reaction, and accurately quantitatively analyzes each pathogenic target.Through single-tube reaction, parallel detection and quantification of the six pathogenic targets are realized, the time consumed due to misjudgment of the targets is reduced, the consumption of consumables and the occupation of instrument space caused by multi-tube reaction are reduced.The quantitative results reflect the pathogenic load, and provide efficient detection and application support for rapid identification and quantitative monitoring of samples of murine origin or samples of the environment related to mouse activities.

The invention belongs to the field of identification of small gold moth, and particularly relates to a method for rapidly identifying ecotype of small gold moth. The method comprises the following steps: detecting the genotype of a Chr04.g05558 gene segment in a small gold moth genome, and determining the ecotype of the small gold moth according to the genotype; the Chr04. G05558 gene segment is located among Chr04: 51, 430, 521-51, 430 and 805 of the small gold moth, the Chr04. G05558 gene segment as shown in SEQ ID NO: 2 is a high mountain type small gold moth, and the Chr04. G05558 gene segment as shown in SEQ ID NO: 3 is a low mountain type small gold moth. The method disclosed by the invention can be used for identifying the ecotype of the small gold moth larva, is suitable for trace sample analysis, can directly interpret the result through conventional agarose gel electrophoresis, and can further judge the genotyping result through sequencing.

The invention belongs to the technical field of ocean engineering experiments, and provides a fan type rapid identification method for maritime work laboratory motion measurement, which relates to a device comprising a camera for motion measurement, an image collector and a PC (Personal Computer). According to the method, superpixel analysis and optical flow analysis are adopted, K-means clustering is combined to obtain the area of the blade on the image, and in order to reduce the error rate of discrimination, the fan category is discriminated on the image according to the layout characteristics of the blade, and the fan category is judged again through the mutual relation of dynamic motion vectors. According to the method, the type of the floating fan model can be rapidly identified, the type of the measured target can be rapidly obtained at the beginning of motion measurement, the influence on the operation load in the motion measurement process is small, integration and intellectualization promotion of a whole fan experiment test system are facilitated, and the method has high practical value.

The application discloses a pathogen-specific nucleic acid gene of Proteus mirabilis and a detection method, the nucleotide sequence of the pathogen-specific nucleic acid gene is at least a part of any sequence in the sequence table Seq ID No:4-Seq ID No:10 or a complementary sequence thereof. A PCR reaction is carried out by taking clinical sample DNA as a template, a forward primer in amplification primers used in the PCR reaction is SEQ ID NO:1, a reverse primer is SEQ ID NO:2, a target sequence of crRNA used in cooperation of the primer pair is indicated in SEQ ID NO:3, and detection is carried out by using LbCas12a, crRNA and ssDNA-reporter. The pathogen-specific nucleic acid fragment provided by the application can be used for rapid identification of the pathogen of Proteus mirabilis, and has high accuracy and short detection period when applied in clinic.