95 results about "Expression analysis" patented technology

The invention discloses an ALS prognosis evaluation system based on UBE2J2 gene methylation and expression level, and relates to the technical field of biomedicine and bioinformatics. Comprising a data acquisition module, a methylation detection module, an expression quantity determination module, a data preprocessing module, a preliminary survival analysis module, a multivariable Cox proportional risk model construction module, an individualized risk index calculation and grouping module and a visualization and clinical application module. By combining UBE2J2 gene methylation and expression quantity analysis, peripheral blood non-invasive detection, standardized experiment and computational analysis process and visual presentation, the method is technically and remarkably superior to the prior art, high accuracy, operability, repeatability and expandability are realized, and the method is suitable for large-scale popularization and application. And the technical defects of single molecular marker, complicated operation, inaccurate prediction and the like in ALS prognosis evaluation in the prior art are overcome.

The invention relates to the technical field of video action detection, and provides a macro-micro expression interval positioning method based on meta-learning, which comprises the following steps: performing face alignment and image size unified processing on an input face expression video frame sequence; performing down-sampling on the processed facial expression video frame sequence based on a pre-trained video understanding model, and extracting time sequence features; dividing and sampling meta-learning tasks according to preset attribute dimensions on the basis of the time sequence characteristics, and constructing a time sequence positioning model at the same time; performing meta-learning training on the time sequence positioning model according to the meta-learning task to obtain a meta-basic model with a generalized spatial-temporal feature representation capability; and carrying out adaptive fine tuning on the element basic model, and using the fine-tuned model to position macro expression and micro expression intervals of the target domain facial expression video. The method can be more easily deployed in various real and complex new scenes, so that the progress of the expression analysis related technology from the laboratory to the practical application is accelerated.

The invention specifically discloses a salix cheilophila in-situ genetic transformation method independent of a tissue culture system, and belongs to the field of plant genetic engineering. According to the method, semi-lignified branches of salix cheilophila are taken as receptors, vacuumizing treatment is performed by utilizing agrobacterium rhizogenes infection liquid, hairy roots are directly induced under a water culture condition after short-term dark culture, and positive identification is performed through reporter genes. According to the method, tedious sterile tissue culture operation is completely avoided, the transformation period is shortened to about 22 days, and the technical threshold and the time cost are remarkably reduced. By adopting the system, the positive rate can reach 54.33% when the pBI121 vector is used for transformation, and the efficiency is remarkably improved compared with that of an existing method. The method provides an efficient and reliable technical platform for root system gene function research, expression analysis and genetic improvement of salix cheilophila and related species thereof, and has high application potential.

The invention discloses an application of an alfalfa gene MsCBF4 in improving the cold resistance of plants, and belongs to the technical field of gene engineering. In order to excavate a gene with a clear anti-freezing function from medicago sativa, the medicago sativa gene MsCBF4 is successfully cloned, and the expression of the MsCBF4 gene is found to be induced by cold stress and freezing stress through the expression specificity and space-time expression analysis of the gene in the medicago sativa. Besides, a plant overexpression vector containing the alfalfa MsCBF4 gene and recombinant agrobacterium are constructed, transgenic arabidopsis thaliana overexpressing the MsCBF4 gene is obtained through a genetic transformation experiment, freezing tolerance analysis on the transgenic arabidopsis thaliana overexpressing the MsCBF4 gene shows that the overexpression of the MsCBF4 gene enhances the tolerance of the arabidopsis thaliana to freezing stress, and the transgenic arabidopsis thaliana overexpressing the MsCBF4 gene can be used for preventing freezing stress. Therefore, the MsCBF4 gene can be used for improving the cold resistance of the plant.

The present application belongs to the technical field of genetic engineering, and particularly relates to a methyltransferase gene CmCMT2 and CmDRM2 application in regulating chrysanthemum flowering. The present application constructs an RNAi silencing expression vector by isolating CmCMT2 and CmDRM2 genes in a chrysanthemum variety "Jinma", and obtains CmCMT2 -RNAi and CmDRM2 -RNAi transgenic "Jinma" plants by using a genetic transformation method, then performs phenotype observation and statistics on the transgenic plants, and explores CmCMT2 and CmDRM2 the mechanism of the genes affecting early flowering of chrysanthemum by using an RNA-seq method. The CmCMT2 and CmDRM2 genes are cloned from the chrysanthemum variety "Jinma", and spatiotemporal expression analysis shows that CmCMT2 and CmDRM2 the genes are highly expressed during the process of "Jinma" from bud development to color change; and CmCMT2 and CmDRM2 the expression level in leaves gradually decreases during the growth and development of "Jinma". The research results show that CmCMT2 and CmDRM2 the content of GA1 is changed by negatively regulating the expression of CmG20ox2a and CmG20ox2b , so that the flowering period of chrysanthemum is advanced by 15 and 8 days, respectively.

The invention belongs to the technical field of video management, and particularly relates to a video management method based on artificial intelligence. The method comprises the following steps: firstly, extracting an interest value of a user in a video watching process through facial recognition and expression analysis, and judging an attention concentration time frame; and then text features and scene features of the time frame and the advertisement video key frame are extracted, semantic alignment and matching scoring are performed on the video and the advertisement by using a cross-modal matching model, and the advertisement with high matching degree is screened and inserted into the video. The system further collects interaction behavior data generated after the user watches the advertisement, calculates the advertisement adhesion score, dynamically adjusts the advertisement putting strategy, and achieves the continuous optimization of the advertisement effect. The method improves the correlation between the advertisement and the video content and the user experience, and has the advantages of high precision, high adaptability and the like.

The invention relates to the technical field of molecular biology, in particular to a reference gene for Chinese olive functional gene expression analysis and application thereof. According to the invention, the reference gene RPN2B which is most stably expressed in fruits of different varieties (lines) of Chinese olives in different development and maturation periods is screened out, and in addition, two reference genes NIFS1 and RPS16 which are only second to the RPN2B are also screened out, so that the method can be used for expression analysis of nutritional quality or other functional genes of the fruits of the Chinese olives of different varieties (lines) in different development and maturation periods; the specificity, the stability and the accuracy of functional gene expression analysis data are remarkably improved, and powerful support is provided for Chinese olive functional gene expression analysis. The invention also provides a special detection primer for detecting the reference gene of the Chinese olive fruit, and the detection primer can quantify the expression quantity and function analysis of the auxiliary gene through fluorescence in the Chinese olive function research, and has high application value.

The invention discloses application of a poplar aspartate transaminase gene AspAT10 in regulation and control of plant drought resistance, expression analysis is carried out on a poplar AspATs family gene, it is found that the expression quantity of the poplar AspATs family gene is remarkably induced by drought stress, and a plurality of drought response cis-elements exist in an AspAT promoter region. On the basis, the drought-enduring function of the plant material is verified through phenotype, physiological metabolism and AspAT-transfection overexpression of the plant material. And an important scientific basis is provided for deep understanding of the biological function of AspAT and application of AspAT in drought-resistant breeding of the poplar.

The application belongs to the technical field of biological detection, and discloses a screening method of respiratory tract infection related biomarkers based on macro-transcriptomics. The application performs macro-transcriptome sequencing on respiratory tract infection samples with different clinical phenotypes, performs data quality control, alignment, transcript quantification, retains pathogen and host information, and then identifies genes stably expressed or significantly changed in different groups by combining differential expression analysis and co-expression analysis, obtains potential biomarkers, and obtains the biomarkers by taking the intersection genes of three machine learning algorithms of LASSO algorithm, random forest model and SVM model. The application provides a screening method of biomarkers for rapid and accurate identification of respiratory tract infection.

The invention relates to the technical field of biological medicines, and discloses a construction method and expression application of an Hcp gene deleted strain of a rahnella aqua KCL-5 strain for fish. The Hcp 0186 gene deletion strain is constructed by using a homologous recombination method, the comparison between the deletion strain and a wild strain is carried out, and the result shows that the deletion of the Hcp 0186 gene has an influence on the growth speed, the pathogenicity of the Hcp 0186 gene to the zebra fish is obviously reduced, the survival rate of the infected zebra fish is increased from 0% to 52%, and the Hcp 0186 gene deletion strain can be used as a fish attenuated live vaccine. A recombinant prokaryotic expression vector pET32a-Hcp and expression and purification of fusion protein of the recombinant prokaryotic expression vector pET32a-Hcp are further constructed, and Hcp 0186 rabbit polyclonal antibody serum is prepared as a primary antibody and can be applied to localization expression analysis of fish tissues infected by the bacterium and detection of WB and IHC. Results prove that the Hcp 0186 gene deletion of the strain provides an attenuated strain vaccine and clinical diagnosis and detection application of infected fish of the attenuated strain vaccine, and a scientific basis can be provided for revealing a molecular pathogenic mechanism of the strain and development and application of a mutant strain of the strain.

The application belongs to the field of plant biotechnology, and particularly relates to a cucumber CsODO1 gene and application thereof, and is a MYB transcription factor capable of being combined with a CsCSE1 promoter, which is screened through a yeast single hybridization. It is proved through EMSA and tobacco transient expression analysis that the CsODO1 gene directly and specifically combines with a "CAACCA" sequence in the CsCSE1 promoter, and inhibits the expression of the CsCSE1 gene. The CsODO1 gene can be induced to express by a powdery mildew fungus, and is differentially expressed in the cucumber infected by the powdery mildew fungus. It is found through a cucumber cotyledon transient transformation system mediated by an agrobacterium that the CsODO1 gene negatively regulates the biosynthesis of lignin and the resistance of the cucumber to the powdery mildew fungus. The application provides a new reference gene resource for the cultivation of a cucumber disease-resistant variety, and provides a new thought for the research on the molecular mechanism of the plant immunity mediated by the lignin pathway.

The invention discloses a heart failure key gene identification method and system based on a spline regression model and overall entropy change. The method comprises the following steps of: 1, preprocessing data; 2, analyzing time sequence differential expression; 3, constructing a dynamic co-expression network; 4, network overall entropy change analysis; and 5, screening the heart failure key gene. Compared with an existing analysis scheme in which time sequence differential expression analysis and network topology analysis are mutually independent, a coherent technical system from'capturing gene expression time sequence trend 'to'quantifying gene network overall structure evolution' and then'screening key genes' is constructed. The thought jumps out of the limitation of a single method dimension, and more fitting and more systematic analysis of the continuous nonlinear evolution process of the heart failure are realized. Meanwhile, the spline regression model is matched with dynamic network overall entropy change analysis, so that the synergistic effect of effectively screening and comprehensively analyzing differential genes is achieved.

The invention discloses a psychological health service docking method and system based on edge computing, and relates to the technical field of psychological health services. Comprising the steps that intelligent equipment collects face images, psychological health questions and answers and physiological data of docking personnel and transmits the data to an edge unit for real-time processing; the facial image is used for generating a facial heart health coefficient through expression analysis, generating a question heart health coefficient through question and answer data analysis and generating a physiological heart health coefficient through physiological data analysis. According to the method, all coefficients are subjected to information fusion and statistical analysis to obtain a comprehensive heart health value, the comprehensive heart health value is mapped to a psychological health level to generate an individual stage portrait, and dynamic matching of psychological consultants is carried out in combination with historical portrait analysis trends. Comprising a data acquisition module, a facial expression analysis module, a question and answer data analysis module, a physiological data analysis module, a comprehensive heart health calculation module, a stage grading module and a consultant matching module, and psychological health service docking and personalized intervention which are low in delay, high in real-time performance and high in privacy can be achieved.

The invention discloses an information recommendation method, electronic equipment and a computer readable storage medium. The method comprises the following steps: in response to a received first data request, based on environmental parameters and position transformation information of a target object, controlling expression acquisition equipment to acquire the target object to view a target expression image of current recommendation information; performing feature extraction on the target expression image to obtain expression features of multiple dimensions; analyzing the expression of the target object for viewing the current recommendation information based on the expression features of the multiple dimensions to obtain an expression analysis result; in response to a received second data request sent by the target client, obtaining object behavior data of the target object for the current recommendation information; and adjusting the current recommendation information based on the expression analysis result and the object behavior data to obtain target recommendation information. According to the invention, the technical problem of poor information recommendation effect in related technologies is solved.

The invention discloses an RNA (Ribonucleic Acid) target region enrichment method based on a circular probe, and belongs to the technical field of biomolecule detection and gene sequencing. The method comprises the following steps: designing an annular probe containing an anchoring sequence, a UMI sequence and a universal primer sequence (at least one anchoring sequence 5'end is phosphorylated and modified); the method comprises the following steps: hybridizing a probe with target RNA (Ribonucleic Acid), enriching a hybridization compound through oligo d (T) magnetic beads, cyclizing the probe through DNA ligase, and carrying out PCR (Polymerase Chain Reaction) amplification to obtain an enriched product. Reverse transcription and extension steps are not needed, a solid-phase substrate is not needed, the experimental process is simplified, and the operation time is shortened; through combination of specific probe design and magnetic bead enrichment, high-selectivity enrichment of target RNA is realized, the method is especially suitable for differential expression analysis of samples with low expression quantity, and the template recovery rate and the effective data proportion are effectively improved.

The invention provides a peanut bacterial wilt resistant gene AhNHL24 as well as an identification method and application thereof, and belongs to the technical field of plant genetic engineering. The peanut disease resistance related gene AhNHL24 is separated from peanuts, the DNA sequence of the peanut disease resistance related gene AhNHL24 is shown as SEQ ID NO: 1, and the amino acid sequence of protein coded by the gene AhNHL24 is shown as SEQ ID NO: 2. According to the preparation method of the peanut disease-resistant gene, the AhNHL24 gene is separated and identified through Illumina RNA sequence and comparative transcriptome analysis, and transcription mode analysis and plant expression analysis find that the AhNHL24 gene can improve the resistance of plants to ralstonia solanacearum, so that the invention determines that the peanut AhNHL24 gene can be used as an important gene for peanut bacterial wilt resistance breeding.

The application discloses application and primers of CuSUMO1 and CuHTR4 as internal reference genes, belongs to the technical field of plant molecular biology, and particularly relates to application of CuSUMO1 and / or CuHTR4 as internal reference genes for quantitative analysis of genes of Dendrocalamopsis oldhami in Jinfoshan Mountain, and is characterized in that the nucleotide sequence of the CuSUMO1 is shown as SEQ ID NO. 2, and the nucleotide sequence of the CuHTR4 is shown as SEQ ID NO. 3. The application provides the internal reference genes CuSUMO1 and CuHTR4 and a primer pair for detecting expression analysis research of target genes of samples in different tissues, different development periods and different stress treatments of Dendrocalamopsis oldhami in Jinfoshan Mountain. The internal reference genes CuSUMO1 and CuHTR4 have high stability, and have important values for evaluating and detecting expression amounts of target genes of Dendrocalamopsis oldhami in Jinfoshan Mountain in different tissues, different development periods and different stress treatments.

The invention belongs to the technical field of enzyme engineering, and particularly relates to a method for preparing high-performance DNA (deoxyribonucleic acid) coupled reverse transcriptase and application of the high-performance DNA coupled reverse transcriptase. The invention provides a strategy for preparing DNA (Deoxyribonucleic Acid) coupled reverse transcriptase, which comprises the following steps: carrying out covalent coupling on maleimide modified oligo-dT23VN and MMLV (Molecular Molecular Leukemia Virus) reverse transcriptase of which the C end contains sulfydryl; or realizing non-covalent coupling with MMLV reverse transcriptase of which the C end is fused with RHAU23 polypeptide by virtue of G-quadruplex modified oligo-dT23VN. Compared with an unmodified reverse transcriptase, the reverse transcriptase coupled with the oligo-dT23VN not only can detect mRNA with lower concentration in a reverse transcription reaction, but also can capture low-abundance mRNA in a complex RNA sample more sensitively. The DNA coupled reverse transcriptase developed by the invention can be widely applied to the fields of molecular diagnosis, gene expression analysis, RNA sequencing and the like.

The application discloses a face feature decoupling representation method and device with causal effect transmission and a medium, relates to the technical field of causal discovery, image generation and decoupling representation learning. The method comprises the following steps: establishing a variational autoencoder, learning a latent feature distribution from a latent space based on the variational autoencoder in response to input face data; integrating a structural causal model into the variational autoencoder, modeling a causal effect to extract a causal feature from the latent feature distribution; establishing a graph attention network, inputting the causal feature into the graph attention network to decouple and transmit the causal effect; and designing a loss function, training the graph attention network by using a discriminator. The method can effectively mine and transmit the causal relationship between face features, improve the interpretability and transferability of feature representation, has strong application potential, and is especially suitable for face recognition, expression analysis and other tasks.

The invention relates to the technical field of artificial intelligence, and discloses a micro-expression analysis method based on facial key point recognition, and the method comprises the steps: positioning a facial region through a high-precision face detection model; acquiring a face key point sequence by using a lightweight key point extraction network; constructing a micro-expression feature vector based on the dynamic change of the time sequence key points; and micro expressions are classified and identified by combining an attention mechanism and a multi-layer perceptron. The system comprises an image acquisition module, a key point extraction module, a time sequence feature modeling module and a micro expression classification module. According to the method, the accuracy and the environmental adaptability of micro-expression recognition are remarkably improved by fusing the space-time key point dynamic information and the attention mechanism.

The invention belongs to the technical field of bioinformatics, and discloses a molecular marker screening method and device based on sequencing, equipment and a storage medium. Sample sequencing data is obtained for quality control processing to obtain clean sequencing data, and gene variation sites are obtained through detection; analyzing to obtain a target gene expression map; carrying out weighted gene co-expression network analysis to obtain an analysis result; carrying out co-expression analysis, constructing a miRNA-gene molecule interaction network, carrying out topology analysis on the miRNA-gene molecule interaction network, and identifying key nodes; and finally, according to the gene variation site, the target gene expression map, the analysis result and the key node of the miRNA-gene molecular interaction network, combining with a machine learning algorithm to calculate the importance score of each candidate marker, and obtaining a specified number of candidate markers with top scores and the combination thereof as a target marker. Therefore, the potential efficiency of the marker can be comprehensively evaluated in multiple dimensions, and the specificity and sensitivity of the screened marker are further improved.

The invention discloses a facial plastic surgery planning method and system based on multi-modal dynamic expression analysis, relates to the field of facial plastic surgery, and solves the problem that multiple expressions are not coordinated due to the fact that a traditional plastic surgery method adopts data scanned by a single expression to perform surgery. According to the technical scheme, the method is characterized in that a multi-modal dynamic expression data set of a standardized expression sequence based on multiple expressions is adopted, space-time alignment is carried out on the multi-modal dynamic expression data set, and the bone-muscle-soft tissue collaborative movement relation in the multi-expression process is comprehensively captured; a basic three-dimensional anatomical model and a skeleton-muscle-soft tissue linkage biomechanical coordination model are constructed, preoperative operation optimization is performed according to a simulation result of the biomechanical coordination model, double feedback of a doctor and a patient is performed after an operation, and a scientific operation method of data source-modeling mechanism-target planning-postoperative feedback is formed. The technical effects of improving the naturalness and coordination degree of postoperative facial expressions and improving the satisfaction degree of patients are achieved.

This invention relates to the field of artificial intelligence technology and discloses a method for generating instant empathetic responses for robots based on micro-expression triggers. The method includes collecting facial micro-expression data of the interacting object, generating standardized micro-expression data through preprocessing, generating feature vector data based on micro-expression feature extraction, generating classification data by combining emotional state analysis, generating trigger signals for empathetic responses, generating empathetic response text data using natural language generation technology, and outputting instant empathetic responses through speech synthesis. Simultaneously, the micro-expression analysis model is optimized based on interaction feedback data. This invention ensures the reliability of the data foundation for generating empathetic response trigger signals, guarantees the real-time performance and reliability of interactive responses, and improves the friendliness and overall effect of robot interaction.

The invention discloses a canine PD-L1 monoclonal antibody, a hybridoma cell strain secreting the canine PD-L1 monoclonal antibody and application of the canine PD-L1 monoclonal antibody. The hybridoma cell strain is 3B4C7B2F10C10 preserved in the China Center for Type Culture Collection on June 24, 2025, the preservation number is CCTCC NO: C2025167, the hybridoma cell strain can stably secrete the antibody, and the dog PD-L1 monoclonal antibody can recognize the dog PD-L1 protein, has good color development in dog tumor immunohistochemistry, can accurately detect the expression degree of the PD-L1 in the dog tumor, and can be used for preparing the dog PD-L1 monoclonal antibody. The expression analysis of the PD-L1 has important significance on the clinical application of a PD-1 / PD-L1 inhibitor in dogs, the high expression of the PD-L1 can be used as an important marker for the immunotherapy effect of the dogs, and the expression level of the PD-L1 can be used as an important reference factor for clinical test design and treatment decision in the future. Meanwhile, reference is provided for immunohistochemical auxiliary diagnosis of tumor malignancy degree of dog tumors and dog PD-1 and PD-L1 monoclonal antibody mediated dog tumor immunotherapy prognosis, and the application prospect is huge.

The present application relates to the technical field of image intelligent analysis, and particularly relates to a breast cancer medical image intelligent analysis system and method fusing deep learning. The method comprises the following steps: acquiring medical image data of a target breast region, and determining breast structure distribution data based on the medical image data; identifying the radial distribution characteristics of breast gland ducts according to the breast structure distribution data, and constructing duct direction constraint data based on the radial distribution characteristics of the gland ducts; transmitting the duct direction constraint data to a preset deep learning model, performing direction-sensitive feature expression analysis on the breast structure distribution data, and obtaining direction response feature data along the main direction of the ducts and deviating from the main direction of the ducts; and determining structure abnormal regions in the breast medical image based on the direction response feature data. The present application realizes the representation ability of complex structure distribution and its change characteristics by intelligent analysis of breast cancer medical images.

The embodiment of the invention discloses a gene expression analysis method and device, electronic equipment and a readable storage medium, and belongs to the technical field of bioinformatics and the field of data processing. The method comprises the following steps: based on a polymerization expression value of a gene in a target cell type of a to-be-detected sample and a benchmark expression value of a gene in a target cell type of a reference sample, determining a first difference of the target gene in the target cell type in the to-be-detected sample relative to the target gene in the reference sample; determining a second difference of the target genes in the target cell type according to the first difference of the target genes in the target cell type and the first difference of the target genes in different cell types of the to-be-detected sample; and performing gene differential expression analysis based on the second difference of the target gene. Based on the embodiment of the invention, the influence of a batch effect on gene expression analysis can be effectively reduced.

This invention belongs to the field of bio-agriculture and relates to nitrogen-responsive genes during the rice heading stage. HDRN1 Applications. Knocking out nitrogen-responsive genes during the rice heading stage. HDRN1 Applications in advancing the heading stage of rice, improving the nitrogen response sensitivity of rice, breeding rice varieties that are sensitive to nitrogen fertilizer, or breeding early-maturing rice varieties. This invention reveals the TBL family genes for the first time. HDRN1 It participates in the nitrogen signaling pathway and negatively regulates the heading stage of rice. This was demonstrated through BSA-seq, database expression analysis, and mutant phenotypic validation. HDRN1 It is a novel nitrogen-responsive heading-stage regulator. This invention constructs... hdrn1 The mutant exhibited a significantly earlier heading date than the wild type under both low and high nitrogen conditions. Simultaneously, the mutant showed enhanced nitrogen response sensitivity, indicating... HDRN1 The loss of function makes the plant more sensitive to changes in nitrogen levels, which can be used to breed varieties that are sensitive to nitrogen fertilizer and avoid varieties that are too vegetative and mature late.

The invention discloses a facial paralysis recognition and grade evaluation system and method based on an expression analysis technology, and relates to the technical field of medical image intelligent analysis, and the method comprises the steps: carrying out the virtual correction of a face image in an action segment set based on a three-dimensional muscle group activation field, generating a healthy twin face, and carrying out the recognition and grade evaluation. Calculating a feature residual error between the face image and the healthy twin face to form a residual error severity index; performing feature fusion on the residual severity index, the three-dimensional muscle group activation field and the two-dimensional expression feature vector to form a muscle group associated residual feature graph, performing graph-level feature aggregation and multi-task reasoning through a graph neural network, outputting a facial paralysis recognition result and a graph-level feature vector, and performing multi-classification prediction on the graph-level feature vector to obtain a facial paralysis recognition result. And outputting the facial paralysis severity level. The facial paralysis identification and severity level evaluation method realizes more accurate and explainable facial paralysis identification and severity level evaluation, and improves the reliability and practicability of clinical auxiliary diagnosis.

The invention discloses an MCP-based log-to-context structured data conversion and retrieval analysis system, and relates to the technical field of data processing. The system comprises a semantic conversion module, a context index module, a semantic retrieval engine and a rule analysis engine, all the modules complete operation such as capability declaration, index modeling, expression analysis and condition judgment through a unified interface, and a complete data processing and safety analysis process is formed. Structured semantic modeling and rule linkage analysis of log data are realized through a module capability registration and context state driving mechanism; the log is subjected to field analysis, protocol identification and semantic annotation to generate structured semantic data, a context model containing a behavior path, a state sequence and an index dimension is constructed, and cooperative operation of expression retrieval and rule matching is supported. The system has the characteristics of semantic driving, uniform structure, rule self-adaption and closed-loop feedback, and is suitable for security detection and semantic analysis tasks in a multi-source heterogeneous environment.