11results about How to "Meet analysis needs" patented technology

The application relates to the technical field of aerial video analysis, and discloses a large-scene multi-modal analysis system and method based on a UAV. The method acquires an original video frame sequence from aerial equipment, extracts a scene change period and an object motion trend by calculating an inter-frame motion feature vector, and judges whether a scene is in a stable or dynamic state by means of a state classification model. In the dynamic state, a tracking target position is calculated according to preset parameters, and an analysis target area is adjusted in combination with the motion trend; a camera parameter adjustment instruction is generated according to a deviation amount of the analysis target area from an actual object position, and is output to an executing mechanism; a complexity value is acquired through a scene complexity feedback signal, and when the complexity value exceeds a preset range, an adaptive algorithm is used to update an analysis strategy and output an adjustment signal; the output timing of control and strategy adjustment signals is optimized, the frame sequence and analysis parameter change trend are monitored in real time, preset parameters are dynamically updated to match user requirements, and efficient video analysis processing is realized.

This invention discloses an automatic identification method and system for lipid double bond positions based on ozone dissociation mass spectrometry data. The method includes: S1 constructing an in-silico ozone lipid fragment database; S2 preprocessing the raw mass spectrometry data and screening to obtain candidate features and auxiliary features; S3 retrieving ozone fragment features from the auxiliary features based on retention time and mass difference constraints; S4 constructing a directed bipartite graph of candidate features and fragment features; S5 scoring edges through multi-dimensional similarity calculation and removing redundancy by attribute combination; S6 comprehensively scoring the candidate lipid structures and outputting the double bond position identification results. This invention achieves high-throughput, low-false-positive automatic identification of double bond positions in multiple lipids and large-scale lipids through broad database coverage, multi-dimensional matching scoring, and redundancy removal strategies. It has strong structural resolution, is compatible with common mass spectrometry data formats, can be integrated with standard workflows, and is suitable for structural lipidomics research.

The application discloses a high-speed rare thin flow field prediction method and system based on a mask self-encoder, and belongs to the technical field of cross hyper-sonic aerodynamics and artificial intelligence. The application mainly comprises the following steps: constructing a cross-flow multi-scale flow field database; constructing and pre-training a multi-scale mask self-encoder model, forcing the model to learn to reconstruct the full-field flow field from sparse information through a random mask strategy; introducing a physical information constraint to fine-tune the model, wherein the physical information constraint comprises a Chapman-Enskog distribution function constraint, a moment equation conservation residual and a wall Maxwell slip boundary condition; introducing a Knudsen number self-adaptive reasoning mechanism to automatically adjust the feature weight through a gate network; and using the trained model to predict the flow field. The application realizes cross-flow unified rapid prediction covering a wide Knudsen number range, guarantees the prediction accuracy, significantly improves the calculation efficiency, and has good physical consistency and generalization ability.

This invention belongs to the field of spectral analysis technology and relates to a liquid crystal metasurface composite blazed angle grating and a spectrometer. The liquid crystal metasurface composite blazed angle grating includes a planar substrate, a photo-alignment layer, and a liquid crystal layer stacked sequentially from bottom to top. The photo-alignment layer uses a photosensitive alignment material, and when irradiated by polarized light, its surface forms a molecular alignment pattern matching a preset composite phase distribution. The liquid crystal layer uses a high birefringence nematic liquid crystal material, and its internal liquid crystal molecules are arranged under the control of the molecular alignment pattern of the photo-alignment layer to form a liquid crystal metasurface structure matching a preset composite phase distribution. When composite light passes through the planar substrate and irradiates the liquid crystal metasurface structure, the liquid crystal molecules generate differentiated phase modulation of incident light of different wavelengths according to the gradient of the preset composite phase distribution, so that incident light of different wavelengths is diffracted and deflected at different angles, simultaneously realizing the dispersion and focusing imaging of composite light, thereby forming a spectrum.

The invention discloses a data processing method and device, electronic equipment, a medium and a product, and the method comprises the steps: receiving a data analysis request which comprises a data query condition and analysis type indication information; and obtaining user behavior data matched with the data query condition, and performing integration processing on the user behavior data according to a user identifier corresponding to the user behavior data to obtain behavior sequence data of each user. Data analysis processing is conducted on the behavior sequence data of each user according to the analysis type indication information, a first analysis result is obtained, and the first analysis result comprises the data analysis result of each user. Through the method, the data analysis efficiency can be improved, and different data analysis requirements can be met.

The invention belongs to the crossing field of environmental functional materials and microbial technologies, and particularly relates to an LDHs-biological membrane solid-liquid interface culture method which comprises the following steps: S1, preparing an LDHs material; s2, constructing a standardized LDHs mineral membrane; s3, carrying out sterile treatment on the LDHs mineral membrane; and S4, carrying out solid-liquid interface culture on the LDHs-biological membrane. According to the method, the forming ability, metabolic activity, structural stability and pollutant removal characteristics of the LDHs material surface biological membrane can be effectively evaluated, and accurate and reliable evaluation is provided for deep exploration of a material-biological membrane interaction mechanism and promotion of application of the material-biological membrane interaction mechanism in environmental restoration.

This invention belongs to the field of mass spectrometry detector technology, and specifically relates to a mass spectrometry detector and its data correction method, apparatus, and storage medium. The method includes: acquiring ion data collected by the mass spectrometry detector in scanning mode based on a preset scan step divided by ion mass; acquiring the actual mass of each group of ions of the same mass in the ion data and recording it as a data acquisition point, with each data acquisition point corresponding to a set acquisition point based on the preset scan step; when the mass difference between a data acquisition point and the corresponding set acquisition point is less than or equal to a preset accuracy range, using the signal intensity of the data acquisition point as the signal intensity of the corresponding set acquisition point; when the mass difference between a data acquisition point and the corresponding set acquisition point is less than or equal to a correction threshold, obtaining the signal intensity of the set acquisition point based on the signal intensities of the two data acquisition points with the closest masses to the corresponding set acquisition point. This improves the precision and accuracy of the acquired ion data.

The invention discloses an Al-Zn-In sacrificial anode coating metallographic analysis method, and relates to the technical field of metallographic detection of aluminum sacrificial anodes.The method comprises the four core steps of mechanical coarse grinding, mechanical fine grinding, electrolytic polishing and anode coating, firstly, an Al-Zn-In sacrificial anode is prepared, then, a sample is cut from the Al-Zn-In sacrificial anode, and then the Al-Zn-In sacrificial anode is obtained; the method comprises the following steps: carrying out mechanical coarse grinding and mechanical fine grinding on a sample, carrying out electrolytic polishing by adopting an electrolyte mixed by perchloric acid and absolute ethyl alcohol, connecting the sample subjected to electrolytic polishing with a direct-current power supply anode, connecting a stainless steel sheet with a cathode, putting into a film coating solution for film coating, cleaning to obtain a film-coated sample, and finally carrying out metallographic analysis on the film-coated sample. According to the method, the problems of blurred grain boundary, grain boundary covering, residual scratches, unclear second phase and the like in traditional metallographic analysis are solved, the grain boundary is completely displayed, the grain contour is clear and distinguishable, the contrast is high, false image interference is avoided, and the structure analysis requirement is met.

This application provides a method, apparatus, and device for online real-time source apportionment of VOCs. The method includes: screening atmospheric VOCs receptor samples to obtain a first receptor data matrix; when it is determined that there is no local source component spectrum corresponding to the receptor sample, performing a source-free spectrum analysis process including: performing PCA on the first receptor data matrix, obtaining principal components with eigenvalues ​​greater than 1 in each source component, calculating the cumulative contribution rate of eigenvalues ​​of N principal components, determining the number of first sources as the number of factors based on the cumulative contribution rate of eigenvalues, running PMF to decompose the first receptor data matrix to obtain a source component spectrum matrix; calculating the correlation coefficient and mass percentage based on the source component spectrum matrix to obtain the number of second sources; identifying sources that meet the number of second sources based on a preset pollution source characteristic tracer material library and source component spectrum matrix, obtaining source identification results, and performing trend analysis using the source identification results.

The present application relates to a simulated lunar soil particle screening device based on real lunar soil and a method for using the same, comprising a micro-flow rate control system, a flow chamber, a particle detection system, a particle identification system and a particle screening system, the flow chamber comprising a sample channel and a sheath liquid pipe, the particle screening system comprising a control module and at least two collectors; a single lunar soil sample particle suspension is ejected from a nozzle at the front end of the sample channel to a detection window of the particle detection system under the action of liquid flow pressure; the sheath liquid is ejected from the nozzle after flowing from all around to the nozzle and surrounding the periphery of the lunar soil sample particles; the control module is used to sort the simulated lunar soil sample particles into the at least two collectors according to the control instructions of the particle identification system. The present application can realize high-throughput particle screening and recovery, solve the problem of a large gap between the properties of the existing simulated lunar soil sample and real lunar soil, and provide an efficient tool for lunar resource in-situ utilization and extraterrestrial matter research.

The application discloses a tandem repeat expansion detection method for third-generation sequencing sequences. The application is committed to breaking away from the constraint of a predefined catalog in the background of third-generation sequencing, especially Oxford Nanopore Technologies (ONT) sequencing data, realizing high-sensitivity de novo detection of short tandem repeat expansion, designing a consensus sequence generation algorithm of edge typing and edge correction under GPU acceleration, realizing high-precision haplotype sequence analysis, and giving consideration to algorithm efficiency and clinical-level detection accuracy.