83results about How to "Improve research efficiency" patented technology

The invention relates to the technical field of medical data management, in particular to a medical data document classification and marking system which comprises a document structure analysis module, a semantic information identification module, a classification and marking module and a document intelligent label module. According to the method, document visualization and retrieval efficiency is improved by analyzing document content and extracting titles, texts and appendixes, analytic performance and operability of data are enhanced by identifying key information and semantic relations and accurately extracting and labeling medical terms, medicine research data and medical record records, storage is optimized according to priorities in combination with classification and marking, and the method is high in practicability and easy to popularize and use. Clinical values and application scenes of documents are clarified, document management processes are refined, management compatible with clinical data formats is formed through structured storage of marked data and classification label generation, storage normalization and retrieval efficiency are improved, the requirement for accurate information calling in clinical tests is met, document management capacity is improved, and the document management efficiency is improved. And support is provided for improvement of clinical decision-making and research efficiency.

The invention relates to the technical field of hydrogen storage performance calculation and evaluation, and discloses a method and a system for calculating and evaluating the hydrogen storage performance of a solid hydrogen storage material. Analyzing and designing the mechanical property, electron distribution, heat-conducting property, heat stability and the like of the material; the hydrogen adsorption performance of the newly designed hydrogen storage material is calculated by calculating the adsorption state and adsorption energy of hydrogen molecules on the hydrogen storage material and the hydrogen adsorption capacity of the material under different pressures and temperatures; and drawing a hydrogen adsorption dynamic curve of the solid hydrogen storage material so as to calculate and evaluate the hydrogen storage dynamic performance of the material. The system comprises a performance analysis module, a performance calculation module and a performance evaluation module. The research and development efficiency and hydrogen storage performance of the solid hydrogen storage material can be comprehensively improved in theory and practical application. Each step provides important theoretical support and data basis for solving technical challenges in different aspects.

The invention discloses a numerical analysis method for predicting speed distribution of downwash airflow of an unmanned aerial vehicle in a rice canopy based on a fluid-solid coupling method. The numerical analysis method comprises the following steps: measuring physical parameters of rice plants based on physiological characteristics of rice; establishing a three-dimensional rice plant model based on three-dimensional geometric modeling software; dividing a three-dimensional rice plant canopy grid based on grid division software; establishing a fluid-solid coupling model of the lower washing flow field of the unmanned aerial vehicle and the rice canopy; setting an initial boundary condition and performing spatial discretization; full-coupling finite element numerical simulation of the fluid-solid coupling model is carried out; performing post-processing on the numerical simulation result based on flow field post-processing software to obtain an evolution process and spatial distribution of the downward washing flow field of the unmanned aerial vehicle and dynamic behaviors of rice plants; and analyzing the influence of the dynamic behavior of the rice plant on the downwash airflow of the unmanned aerial vehicle, and determining the distribution rule of the downwash airflow speed in the rice canopy. The problems of high time consumption, influence of external conditions, difficulty in copying, limitation and the like are effectively solved.

The invention provides a quantum anomalous Hall insulator aging number determination method and system based on topological defects, computer equipment, a storage medium and a program product. The method comprises the steps that the topological charge of each topological defect of two belt models is determined; determining the contribution of the corresponding topological charge to the aging number so as to determine the aging number of the valence band or the conduction band; fourier transform is carried out on the Hamiltonian to obtain a tight constraint Hamiltonian in a real space; performing one-dimensional Fourier transform on the tightly bound Hamiltonian in the real space to obtain a one-dimensional effective Hamiltonian; judging whether the number of the energy-gap-free edge states is equal to the absolute value of the conduction band aging number or not; if so, taking the number of the edge states without the energy gap as the aging number of the quantum abnormal Hall insulator; and if not, reconstructing the Hamiltonian of the two-band model and the expression of the component x and the component y of the Hamiltonian with respect to the two-dimensional momentum, and calculating the momentum again. According to the method, a large number of high aging models can be constructed, and the research efficiency is improved.

The invention relates to the technical field of bioinformatics, in particular to a mining method and system for synthetic biology functional elements and a storage medium. The method comprises the following steps: acquiring functional demand data of a target metabolic pathway; performing evolutionary distance analysis and function prediction on homologous genes of a plurality of species according to the function demand data, and performing protein structural domain conservative classification on preset genome sequence data to obtain candidate element cluster data with function relevance; obtaining expression system data of the host cells; and according to the candidate element cluster data and the expression system data, scoring each functional element based on codon optimization degree, protein folding stability and metabolic load prediction to obtain hierarchical element suitability data. According to the method, factors such as sequence characteristics, expression efficiency and regulation and control network interaction are considered at the same time, multi-level accurate screening is achieved, and therefore the low efficiency and limitation of a traditional screening mode are overcome.

The invention discloses a carbon nanotube mechanical property analysis method based on machine learning molecular dynamics, and relates to the technical field of carbon nanotube mechanical property analysis. The diameter, the length and the defect proportion serve as variables to construct a structure parameter library; the temperature and the strain rate serve as supplementary variables to establish a tensile model parameter library; carrying out molecular dynamics simulation analysis on tensile mechanical properties; drawing a stress-strain curve and extracting key parameters; establishing a parameter association library between the structural parameters and the mechanical properties by using a machine learning method; selecting a machine learning algorithm to predict mechanical properties; and extracting a function relationship through the trained machine learning model to establish a fitting function. Starting from the relationship between different diameters, lengths, defect proportions, temperatures and strain rates and the mechanical properties of the carbon nanotubes, the optimal structure parameters of the carbon nanotubes under specific conditions are obtained through machine learning, the calculation amount is greatly reduced, the experiment cost is saved while the effectiveness of the model is ensured, and the research efficiency is remarkably improved.

The invention discloses an environmental chemistry research automation system and method based on a large language model, and relates to the technical field of environmental chemistry automatic research. The environmental chemistry research automation system based on the large language model comprises a key information extraction module, a structure generation and optimization module, an experiment scheme generation module, an experiment management module and a visual editing module. According to the method, full-automatic workflow from experimental design to data analysis is achieved, the research efficiency and accuracy are remarkably improved, through the method, complex scientific problems can be converted into understandable input of a language model, complex analysis and reasoning processes are completed through the model, and a physical and chemical calculation tool is combined, so that the research efficiency is improved. According to the method and the system, comprehensive simulation and calculation of a research object are realized, the degree of human participation is effectively reduced, subjective deviation caused by human decision is reduced, and scientific research becomes more systematized and accurate.

The invention discloses a high-efficiency and speed-controllable suction filtration device, and belongs to the technical field of suction filtration equipment, the high-efficiency and speed-controllable suction filtration device comprises a base, a plurality of groups of suction filtration mechanisms and a negative pressure mechanism, the suction filtration mechanisms are arranged on the base, each group of suction filtration mechanism can independently perform suction filtration operation, and each suction filtration mechanism comprises a suction filtration bottle, a support frame, a filtration mechanism and a funnel; the supporting frame is mounted on the base and is used for fixedly supporting the filtering mechanism; the filtering mechanism is used for filtering liquid in the funnel; the suction flask is placed on the base and is used for collecting liquid filtered by the filtering mechanism; the negative pressure mechanism is mounted on the base, the negative pressure mechanism is used for pumping air into the suction filtration bottle, so that the interior of the suction filtration bottle is always kept in a negative pressure state, the multiple suction filtration mechanisms are arranged, and each suction filtration mechanism can independently perform suction filtration, so that simultaneous suction filtration of multiple batches of liquid is realized, and the suction filtration efficiency is greatly improved.

The invention relates to the technical field of gypsum rock karst collapse, and provides a test device capable of simulating gypsum rock karst collapse and a test method thereof.The test device comprises a model box structure, a karst cave simulation box, a water level control system and a circulating water tank which are sequentially and circularly communicated; the model box structure comprises an upper barrel and a lower barrel which are connected up and down, the upper barrel and the lower barrel are both of a double-side-wall structure, the double-side-wall structure forms an inner cavity and an outer cavity, the inner cavity and the outer cavity are communicated through an inner side wall provided with water permeable holes, a partition plate is arranged between the outer cavity of the upper barrel and the outer cavity of the lower barrel, and the partition plate is arranged between the upper barrel and the lower barrel. The water level control system comprises a water level box body, a water flow isolation mechanism and an air pressure control mechanism. The scheme not only can be used for simulating the catastrophe process of the covering type karst, but also can be used for simulating the catastrophe process of the gypsum rock without the covering layer, and the structure enables the real test operation to be more convenient, and the test condition can be rapidly adjusted, so that the test period is shortened, and the research efficiency is improved.

The invention discloses a Dunhuang vertical field large model training method and system, a medium and equipment, and belongs to the field of artificial intelligence and the field of culture. According to the method, Dunhuang vertical domain knowledge such as Dunhuang dictionary, Dunhuang introduction and Dunhuang 18 speaking is organized to form Dunhuang instruction fine adjustment data and a dictionary type vector knowledge base of keyword-explanation, and the Dunhuang instruction fine adjustment data and the keyword-explanation dictionary type vector knowledge base are obtained through the steps of continuous pre-training, supervised fine adjustment, plug-in of the vector knowledge base and the like. And a big Dunhuang vertical field model oriented to cultural tourism and language experts is trained. And a PhiloCoP framework is further provided, so that application of a large model in the Dunhuang vertical field is facilitated. According to the method, a more convenient knowledge query and auxiliary research tool is provided for Dunhuang enthusiasts and archaeologists, the Dunhuang culture can be more conveniently propagandized in a larger range, and the method can be applied to the field of ancient linguistics research and tourism scenes.

The invention discloses a machine learning-based isowurtzitane cage compound reaction substrate prediction method, which comprises the following steps: establishing a database containing condensation reactions of glyoxal and primary amine reaction substrates, marking the condensation reaction of which the product is an isowurtzitane cage compound as 1, and marking the condensation reaction of which the product is other types of compounds as 0; the method comprises the following steps: performing quantum chemistry calculation on primary amine reaction substrates, collecting descriptors describing chemical information, screening feature descriptors, and performing normalization processing; taking the feature descriptor as an input variable, taking a condensation reaction product marking result as an output variable, and selecting a random forest and a factorization machine to carry out weight distribution to construct an optimal fusion model; and performing prediction by using the optimal fusion model. According to the method, the reactivity of the primary amine reaction substrate can be quickly and accurately predicted, the research efficiency is improved, the experiment cost is reduced, and effective guidance is provided for synthesis of the isowurtzitane cage compound.

The invention discloses a permanent displacement-containing near-source seismic oscillation synthesis method based on an equivalent pulse model, and the method comprises the steps: obtaining a permanent displacement time history of a seismic oscillation low-frequency part under different earthquake magnitude conditions through employing the permanent displacement characteristics of the equivalent pulse model and combining with a formula between different earthquake magnitudes and fault displacement amounts; and finally, according to near-source seismic oscillation characteristics, synthesizing near-source seismic oscillation capable of representing permanent displacement under different seismic magnitude conditions. The seismic oscillation obtained through the synthesis method can meet the requirements for the seismic oscillation attenuation characteristic and the acceleration peak value of an engineering site area, and can also reflect permanent displacement and near-field strong vibration caused by fracture and dislocation at the same time; according to the seismic oscillation obtained by the synthesis method, the seismic oscillation duration can be adjusted, so that time and cost are saved for subsequent related calculation and analysis.

The invention provides an artificial intelligence-based ocean internal solitary wave simulation method, which comprises the following steps of: identifying internal solitary wave feature information in a remote sensing image through a neural network, and substituting the internal solitary wave feature information into an inversion model to realize propagation simulation of an internal solitary wave; according to the method, artificial intelligence is used as a screening means, the neural network is trained to have the recognition capability, the internal solitary wave data can be rapidly and effectively obtained from a large number of remote sensing photos, then the internal solitary wave propagation process is inverted through an existing internal solitary wave simulation means, and the internal solitary wave research efficiency is improved.

The invention discloses a virus-induced gene silencing technology in hydrangea macrophylla, and belongs to the technical field of hydrangea macrophylla gene function research. Comprising the following steps: (1) cloning full-length fragments of HmPDS, HmF3 '5' H and HmCHS1 genes; (2) respectively constructing TRV vectors of HmPDS, HmF3 '5' H and HmCHS1, and transforming escherichia coli and agrobacterium; (3) infecting the hydrangea macrophylla material with agrobacterium; and (4) culturing the hydrangea macrophylla after infection. The invention provides a virus-induced gene silencing technology in hydrangea macrophylla, which is characterized in that a hydrangea macrophylla cultivated species' Ampelopsis' is used as a material to respectively infect tissue culture seedlings and flower heads. According to the gene instantaneous silencing method disclosed by the invention, related genes in the hydrangea can be effectively silenced, and the gene function research efficiency can be improved.

The present invention relates to an etchant for corroding a nickel-based single crystal high temperature alloy, an etchant method, and a device for implementing the method. The etchant for corroding a nickel-based single crystal high temperature alloy of the present invention contains an H2O2 aqueous solution, an HCl aqueous solution, CuSO4·5H2O, FeCl3, trinitrophenol, and acetone. The present invention also provides a method for corroding a nickel-based single crystal high temperature alloy and a device for implementing the method, wherein the etchant of the present invention is used, and the device comprises a first container and a second container; wherein the first container is placed in the second container, the first container is used to load the etchant, and the second container is used to load the coolant. The etchant of the present invention has an excellent corrosion effect on the nickel-based single crystal high temperature alloy. The etchant of the present invention has high corrosion efficiency and low toxicity. Relying on the etchant method of the present invention and the device for implementing the method, the possibility of accidents can be reduced and the safety of workers or scientific researchers can be protected.

The invention discloses a culture medium system for inducing airway stem cells to differentiate into airway epithelial cells based on ALI and application of the culture medium system. Belongs to the technical field of ALI culture. By means of the culture medium system, the airway stem cells can be efficiently and stably induced to be differentiated into multiple types of airway epithelial cells in the ALI culture process, and particularly, the generated cilia cells are close to the physiological state in vivo. Compared with an imported culture medium, the culture medium has the advantages of definite components, high batch stability, low cost and simple preparation method; the generated airway epithelial cells have a plurality of cell lineages, can well simulate airway epithelium, and show forms and functional characteristics similar to those of an in-vivo airway. According to the system, a respiratory tract epithelium-induced ALI culture system is remarkably improved, the research cost is reduced, a preferable scheme is provided for scholars engaged in studying physiological and pathological characteristics of respiratory tract epithelial cells based on ALI, and researchers are helped to establish a stable repeatable airway model.

The invention discloses an electrostatic protection DTSCR device performance prediction method based on a neural network. The problems that in the prior art, a traditional device simulation and experiment testing method is low in efficiency, time-consuming and labor-consuming are solved. The method comprises the steps that an electrostatic protection DTSCR device model is established, and an initial data set is obtained by simulating the electrostatic protection DTSCR device model; performing TLP simulation on the DTSCR device model and the initial data set to obtain an electrical characteristic curve and characteristic parameters, and establishing a data set according to the characteristic parameters; constructing a plurality of electrostatic protection DTSCR device performance prediction neural networks with the same framework and different parameters, and training to obtain a trained network; utilizing the trained network to predict characteristic parameters of a design window of the electrostatic protection DTSCR device; according to the method, high efficiency and short period are realized, and the association between the electrostatic protection DTSCR device and the performance index can be quickly and conveniently established.

This invention discloses a method and related equipment for processing molecular file information. The method includes: constructing and generating chemical reactions of molecules with different reaction conditions according to the categories of reaction molecules; reading molecular file data from a target folder and extracting three-dimensional and two-dimensional structural information; concatenating the three-dimensional and two-dimensional structural information to obtain two-dimensional and three-dimensional molecular data; combining and arranging the two-dimensional and three-dimensional molecular data according to a reaction plate to obtain reaction data with two-dimensional and three-dimensional molecular information; reading the actual yield of each reaction in the molecular file data, adding the actual yield to the reaction data, and cleaning the reaction data to obtain a target dataset. This invention processes molecular file information to generate a reaction dataset of conditional molecules containing two-dimensional and three-dimensional structural information, and applies these two dimensions of information to deep learning to predict reaction yields, improving the efficiency and accuracy of molecular research.

The morphological constraint-based three-dimensional reconstruction method for cell nuclei comprises the following steps: S1, acquiring a confocal slice sequence and corresponding metadata of a cell nucleus to be reconstructed; S2, performing dynamic level-based image enhancement processing on the confocal slice sequence to form an enhanced slice sequence; S3, performing structure constraint-based marker watershed segmentation on the enhanced slice sequence, obtaining an initial segmentation result layer by layer, introducing an interlayer structure consistency constraint mechanism to correct the segmentation result, and obtaining a cell nucleus mask sequence with continuous structure; and S4, stacking the cell nucleus mask sequence according to layer sequence to construct three-dimensional binary voxel data, complementing the interlayer structure based on a shape interpolation method, and generating a three-dimensional grid model of the cell nucleus through isosurface extraction. The method solves the problems of insufficient stability of the segmentation result and discontinuity of the interlayer structure in the prior art for three-dimensional reconstruction of cell nuclei.

The application discloses a kind of defective component life prediction methods, including calculating stress at defect;Numerical model is established, initial crack length and crack critical final length are set, and crack tip grid is divided;The extension angle and local extension displacement of each node of crack tip in crack propagation process are calculated;Numerical model is updated, and the number of crack tip nodes is determined;The propagation distance of all crack tip nodes is weighted average smoothing processing, and crack propagation length is obtained;Whether crack propagation length is less than crack critical final length is judged;When crack propagation length reaches crack critical final length, crack propagation displacement and cycle number function relationship are constructed according to crack propagation length and cycle number of crack propagation process;The life of defective component is predicted according to crack propagation displacement and cycle number function relationship.The application improves the comprehensiveness and accuracy of life reliability evaluation, can effectively reduce the number of actual test, improves research efficiency.

The application discloses a kind of soft rock slope bridge pile foundation model test device and method considering rainfall earthquake coupling, test device includes model box, the bottom of model box is equipped with vibration table, the inner top of model box is equipped with spraying device;The bottom of model base is equipped with horizontal calibration device, group pile system is also provided in model box, group pile system includes parallelly arranged friction pile and end bearing pile, and friction pile and end bearing pile are implanted in slope model;It further includes monitoring system, and the parameter change of soft rock moisture content and pile foundation settlement, lateral displacement and pile strain is monitored;Data collection system obtains slope model data scanning, and the multi-field coupling data of displacement field, seepage field, stress field and temperature field are synchronously collected.The application realizes the whole process observation to the deformation and failure process of soft rock slope under water-power coupling condition, reveals the load transfer law and disaster mechanism of pile foundation in complex environment, provides theoretical basis and technical support for bridge pile foundation design and disaster prevention and control in soft rock area.

The invention relates to a micro-fluidic mediated static and dynamic collaborative cell culture chip and application thereof, relates to the technical field of biotechnology, and aims to solve one of the problems that in the prior art, a real mechanical microenvironment in a body is difficult to re-engrave through static culture, and a chip device capable of synchronously implementing static and mechanical stretching dynamic biphase culture is lacked. The invention discloses a microfluidic-mediated static and dynamic collaborative cell culture chip and application thereof. The microfluidic-mediated static and dynamic collaborative cell culture chip comprises a cell culture chip and a pneumatic system matched with the cell culture chip for use, the cell culture chip comprises a micro-flow regulation and control chamber and a culture chamber, and the pneumatic system adjusts air pressure in the micro-flow regulation and control chamber to drive local movement of the bottom surface of the culture chamber, so that to-be-cultured cells are simultaneously subjected to dynamic culture and static culture in the culture chamber. Static culture and dynamic culture can be synchronously carried out in the same chip, an in-vivo mechanical microenvironment is effectively copied, and static and mechanical stretching dynamic biphase culture is synchronously implemented.

The present invention discloses a Helicobacter pylori whole protein chip and a preparation method and application thereof, wherein the Helicobacter pylori whole protein chip comprises a substrate and 1631 kinds of Helicobacter pylori proteins connected thereto. The Helicobacter pylori whole protein chip prepared by the present invention can be used to screen Helicobacter pylori proteins that interact with small molecule compounds, and has the characteristics of global and high-throughput screening, simplifies the research design and operation process, and significantly improves the research efficiency.

The invention belongs to the field of material science and engineering, and discloses a full-automatic modeling method and system for a macro-micro multi-scale model based on a real microstructure, which adopts a fine EBSD data processing technology, not only can accurately obtain the orientation, grain boundary, size and other information of grains, but also can accurately obtain the size of the grains by effectively filtering the extremely small grains, thereby improving the modeling efficiency of the macro-micro multi-scale model based on the real microstructure. The overall quality of the data is improved; according to the method, through accurate data input, it is ensured that the microstructure can be fully reflected in the macroscopic model; according to the method, the EBSD data and the ABAQUS finite element simulation are effectively integrated, and the close association between the macro scale and the micro scale is successfully established. On this basis, the change of the microstructure can be tracked in real time and transmitted to the macroscopic stress-strain response model, and it is ensured that stress distribution and plastic behaviors of the material under different load conditions are described more accurately.

The invention discloses a high-efficiency controllable speed filtration device, which belongs to the technical field of filtration equipment, and comprises a base, a filtration mechanism and a negative pressure mechanism. The filtration mechanism is arranged on the base, and a plurality of filtration mechanisms are arranged. Each group of filtration mechanisms can independently perform filtration operations. The filtration mechanism comprises a filtration bottle, a support frame, a filtering mechanism and a funnel. The support frame is installed on the base, and the support frame is used to fix and support the filtering mechanism. The filtering mechanism is used to filter the liquid in the funnel. The filtration bottle is placed on the base, and the filtration bottle is used to collect the liquid filtered by the filtering mechanism. The negative pressure mechanism is installed on the base, and the negative pressure mechanism is used to perform air extraction operations on the inside of the filtration bottle, so that the inside of the filtration bottle is always kept in a negative pressure state. The invention arranges a plurality of filtration mechanisms, and each group of filtration mechanisms can independently perform filtration operations, thereby realizing simultaneous filtration of multiple batches of liquids, and greatly improving the filtration efficiency.

The invention provides a device and method for measuring the diffusion coefficient of nuclide in a rock matrix based on electric field acceleration, and relates to the technical field of nuclear waste geological disposal safety evaluation.The device comprises a sample chamber used for containing a rock sample to be measured; the electric field generating unit is connected to the sample chamber and is used for generating a uniform electric field in the sample chamber, and the concentration monitoring unit is used for collecting experimental data; and the data acquisition and processing unit is connected with the concentration monitoring unit and is used for acquiring the experimental data acquired by the concentration monitoring unit, processing and analyzing the experimental data and calculating the diffusion coefficient of the nuclide in the rock matrix. According to the device and the method, an electric field driving mechanism is introduced on the basis of a penetration diffusion experiment, so that the diffusion coefficient of nuclide in a rock matrix is rapidly determined. The invention aims to greatly shorten the experimental period, improve the efficiency and accuracy of nuclide migration behavior research, and provide important technical support for safety assessment of high-level radioactive waste geological disposal.

The invention relates to a method, a system, a medium and a program product for predicting psychological indexes by using a machine learning method, and the method comprises the steps: reading data related to psychological happiness of a teacher from a data set, removing abnormal data by using an IQR method, and replacing an abnormal value with an NAN value; replacing the NAN value with a median, carrying out clustering analysis to identify a psychological state mode of the teacher, carrying out standardization processing, and processing a class imbalance problem by using an SMOTE technology; training a plurality of machine learning models, and selecting the machine learning model with the highest test precision; and outputting the SHAP value of each characteristic variable, and visualizing the relationship between the independent variable and the dependent variable to display the influence factor of the teacher happiness index. Compared with the prior art, the method has the advantages that the prediction process of the visual model can be realized, and the influence of each characteristic variable on the prediction result is explained, so that researchers and decision makers can better understand and trust the prediction of the model.

The invention provides a chemical reaction to-be-protected group distinguishing method based on an attention network. The technical problem that an existing to-be-protected group distinguishing method is insufficient in accuracy and efficiency is solved. By constructing the deep learning model based on the self-attention layer, the graph attention network and the multi-layer perceptron, the complex interaction characteristics of the to-be-protected group in the chemical reaction can be automatically extracted and learned, and the pre-discrimination accuracy of the to-be-protected group is improved.

The invention relates to the technical field of bioinformatics, and discloses a single gene analysis system, which comprises an integrated database for integrating and storing data resources of a TCGA database, a UCSC database, a GSEA database and a TCIA database; the data interaction module is used for analyzing a gene analysis function and selecting a target cancer type and a target gene which need to be analyzed by analysts; the gene analysis module integrates a plurality of gene analysis functions and is used for acquiring target data required by the selected gene analysis function from the integrated database according to the target cancer type and the target gene; analyzing the target data according to the selected gene analysis function to obtain an analysis result, and sending the analysis result to a data interaction module for charting display; wherein the target data comprises gene expression data and related analysis data except the gene expression data. The efficiency of biological information data analysis can be improved, and the technical threshold of raw information data analysis is reduced.

The invention discloses a fish in-situ video processing method and device, and the method comprises the steps: carrying out the image quality evaluation of a collected video, and screening out an effective video frame; identifying the category, bounding box and mask information of each fish individual in the video through an instance segmentation technology; calculating the instantaneous swimming speed of the fish instance by using a monocular relative depth estimation technology and combining reference object information and a computational photography principle; and the extracted fish instance information is edited and corrected through an interactive labeling function. The device comprises an in-situ video acquisition and preprocessing module, a multimedia resource management module, a video frame granularity multi-sensor data structured binding module, an instance granularity biological feature association module and an interactive labeling module, and the functions of video frame capture, screening, multi-modal data binding, biological feature association and interactive labeling are achieved. According to the method, the problems of low effective frame density and single data dimension in traditional video analysis are effectively solved, and comprehensive and accurate technical support is provided for fish ecological research.