64 results about "Track analysis" patented technology

The invention discloses a cold-chain pork quality dynamic evaluation method and system based on multi-source data fusion, and relates to the technical field of data processing and intelligent evaluation, and the method comprises the following steps: collecting multi-source signal information of a whole cold-chain transportation process, sorting according to a unified time sequence, continuously arranging all signals on a time axis, and carrying out data processing on all the signals; a complete dynamic record is formed; and extracting each time interval and signal amplitude change track from the formed dynamic record, analyzing a signal section with repeated wave crests in a short time, and generating a preliminary data manuscript for reflection interference judgment. According to the invention, through time sequence arrangement and dynamic association of multi-source signals, a wave crest track analysis mechanism is constructed, real-time identification and correction of reflection interference are realized, and continuity and accuracy of a gas concentration curve are ensured; and by generating a reflection source position list and adjusting numerical value distribution of repeated fragments, false fluctuation is eliminated, and the stability and reliability of cold-chain pork quality evaluation are improved.

The embodiment of the invention discloses a digital management method and system for a main and distribution network project. The method comprises the following steps: performing project information structured modeling on a full life cycle of a target main and distribution network project to obtain a project stage node index model; chain type tracking analysis is carried out on the engineering stage nodes, an information interaction rule and a data transmission path are established, and a data flow topological graph is obtained; extracting front-end node state layer information and rear-end engineering monitoring layer information based on a front-end and rear-end separation strategy; and constructing a multi-dimensional influence factor association network by using the information to perform risk evolution path deduction and risk event simulation to obtain a simulation result and generate a cross-node cooperative response strategy. According to the embodiment of the invention, through the digital support of the node chain type tracking and the front and back end separation architecture, the data island of each stage of the main and distribution network project is eliminated, the cooperation efficiency of the project management is improved, and the controllability of the whole life cycle process is enhanced.

The invention relates to the technical field of ship safety, in particular to a ship navigation monitoring management system and method based on edge computing, and the system comprises seven cooperation modules: a data collection module synchronously obtains ship multi-source data, and a processing storage module achieves the data compression, marking and storage. The encryption security module completes full-process AES-256 encryption through a hardware encryption chip, the dual-power supply module guarantees stable power supply, the satellite positioning module obtains accurate positioning through Beidou / GPS dual modes, the self-inspection maintenance module monitors faults in real time, and the AI edge calculation unit achieves channel object recognition, track analysis and violation warning through a deep neural network model. According to the method, closed-loop processes of data acquisition, encryption, processing, intelligent analysis and fault handling are completed through module cooperation; the invention aims to solve the problems of high monitoring delay, insufficient data security, unreliable power supply and the like of the existing system.

The invention provides a server cluster load balancing state tracking analysis method, and relates to the technical field of servers, and the method comprises the steps: collecting a load migration triggering moment, the number of control messages generated by single migration, and the number of active connections to be migrated of each server from each server in a cluster, meanwhile, the bandwidth bearing upper limit of a network control channel is obtained, migration triggering events are arranged according to the time sequence, and a list of the number of triggered migration servers is obtained; the migration scheduling strategy of each server in the load balancing system is updated by adopting the target migration coordination delay interval, a migration rhythm coordination confirmation signal is obtained by monitoring the network congestion change, and whether the cluster load balancing state is recovered to a safe range is verified by combining a high-risk time period list, so that the stability and efficiency of load migration are improved, and the load balancing efficiency is improved. And a reliable flow coordination guarantee is provided for a large-scale cluster system.

The application discloses a food full-link quality deterioration tracing method and system, a medium and a product, and relates to the technical field of food quality tracing.The method is implemented, and a sensory description label in consumer feedback information is extracted by a tracing system; with the aid of a preset food quality knowledge graph, accurate mapping of subjective sensory information and objective physical and chemical indexes is realized, and the problem that subjective feedback and objective data are disconnected in a traditional tracing system is solved.The tracing system carries out dynamic deduction on food full-link monitoring data through a preset quality deterioration dynamics model, and upgrades food quality deterioration from static threshold judgment to dynamic numerical evolution track analysis, so that the cumulative deterioration effect of each circulation link can be quantified.The tracing system screens food quality deterioration responsibility links based on average deterioration rate and link deterioration increment, traces deterioration inducement of the responsibility links in combination with the preset food quality knowledge graph, accurately defines the deterioration responsibility and traces the reasons, and improves the tracing efficiency and accuracy.

The invention discloses an intelligent video analysis system based on multi-mode AI, and belongs to the technical field of video analysis, and the system comprises a video preprocessing module which is used for extracting an analysis frame of an original video segment; the IFS and Tracking analysis module is used for carrying out cross-frame tracking on the analysis frames and screening important frames; the task arrangement and collaboration module is used for realizing state management and control and progress quantification by relying on Redis, and triggering a corresponding module to carry out parcel logo or face recognition if parcels or figures appear in an analysis frame; the logo identification module is used for screening the optimal frame from the analysis frame with the parcel, and determining the logo type of the parcel in combination with target detection and GPT dual identification; the face recognition module is used for carrying out face detection on the analysis frame with the appearance of the person and recognizing the identity of the person; and the structured video abstract generation module is used for generating a structured abstract of the original video segment. According to the method, the video can be efficiently processed, the recognition precision of the target in the video is improved, and subsequent retrieval and search are facilitated.

The invention provides a power conductor galloping track extraction and vibration parameter automatic fitting method, and relates to the technical field of power transmission line state monitoring, and the method comprises the steps: collecting and preprocessing a visible light video of a power transmission line, and obtaining an enhanced image; performing Canny edge detection, contour extraction and screening on the enhanced image to obtain a lead area; determining the observation position of each node of the power transmission line in the lead area; establishing an ID-frame-coordinate mapping relation based on multi-point trajectory tracking of nearest neighbor distance matching in combination with observation positions of nodes; and fitting the galloping trajectory of the power transmission line through a trajectory analysis method based on the combination of frequency spectrum estimation and nonlinear fitting in combination with an ID-frame-coordinate mapping relationship. According to the technical scheme, the position of the wire node can be stably identified under different illumination and background conditions, and the motion trail of the wire node can be automatically tracked and extracted.

The application discloses a kind of based on multi-class deviation's magnetic levitation track smoothness evaluation method, medium and equipment, belong to magnetic levitation track analysis field.This method uses hierarchical amplitude evaluation criterion and hierarchical mean evaluation criterion, assesses the smoothness state of target track, wherein determining hierarchical amplitude evaluation criterion and hierarchical mean evaluation criterion includes: based on the layered deformation characteristics of track beam and stator core system, establish multi-class irregularity superposition model;Based on the superposition model, give the random amplitude of multi-class track geometric deviation in line with the set statistical distribution, and generate theoretical track random irregularity sample;Calculate the power spectral density of theoretical track random irregularity sample, and determine the multilevel confidence interval of power spectral density and corresponding track spectral area value;Based on the multilevel confidence interval of power spectral density, define track smoothness hierarchical amplitude evaluation criterion;Based on track spectral area value, define hierarchical mean evaluation criterion.The evaluation result of the application is more scientific, objective and comprehensive.

A system and method for interactive learning comprising a content database, at least one software program disposed on at least one computer system designed to calculate story vectors from which to at least one or more of craft and analyze a story and select at least one learning objective, the system including at least one interaction vector determining the action of a story track. At least one machine learning program is designed to at least one or more of create and analyze story tracks. Story track analysis starts from at least one start point in time to at least one following point in time, the at least one software program further adapted to calculate degrees of change from the story vectors including story vector direction and magnitude, the following point in time further marking at least one change result and further adapted to maintain change results from the story vectors.

The utility model belongs to the technical field of quality tracking of catalyst tablet potassium in the production process of fluazinam, and discloses an analyzer for quality tracking of catalyst tablet potassium in the production process of fluazinam, which comprises a base and a fluazinam reaction container, and the fluazinam reaction container is mounted on one side of the upper end face of the base. One side of the fluazinam reaction container is connected with a tracking analyzer, and the tracking analyzer is mainly composed of a sample injection system, an analysis and detection system, a data processing and display system and a control system. According to the device, the mass change of the catalyst flake potassium in the reaction process is accurately tracked in real time, so that the device has important significance on optimizing the production process, improving the product quality and reducing the production cost.

The invention discloses a perception analysis system based on intelligent management. An operation method of the system comprises the following steps: performing information input and data processing of an intelligent network connection automobile; detecting, tracking, analyzing and processing the intelligent networked automobile; carrying out intelligent network connection automobile traffic conflict analysis, discrimination and management; and carrying out statistics on the user data information of the intelligent networked automobile. The information input and data processing of the intelligent connected automobile comprises the following steps: inputting destination information to the system through the sensing analysis system before the user of the intelligent connected automobile drives each time; distortion elimination processing is carried out on the image information collected by the intelligent network connection automobile equipment; after the laser video all-in-one machine in the intelligent networked automobile completes acquisition of driving data, coordinate system conversion processing is carried out on the driving data. The step of detecting, tracking, analyzing and processing the intelligent networked automobile comprises the step of detecting the position information of the intelligent networked automobile in real time. The system has the characteristics of intelligent analysis and management and high safety.

The invention discloses a shot peening forming method and device based on reverse modeling and a medium. Acquiring a target wing arm plate part to be subjected to shot peening forming, an original shot peening molded surface and a target shot peening molded surface in real time; according to the original shot peening molded surface and the target shot peening molded surface, analysis is conducted through a shot peening forming track analysis method, and a current shot peening track path section and current wing arm plate part rib stringer intersection point distance data are obtained; analyzing and processing through a shot peening forming reverse modeling method to generate a current reverse modeling virtual forming molded surface; and according to the target shot peening molded surface and the current reverse modeling virtual forming molded surface, whether shot peening forming conditions are met or not is judged, and whether shot peening forming operation of the target wing arm plate part is completed or not is determined. The problems that the shot peening effect is poor due to the fact that the shot peening condition of the middle process cannot be determined in the shot peening process of large aircraft parts, and the workload is large due to manual analysis of the middle process are solved, and the shot peening forming accuracy and the analysis efficiency of the middle process are improved.

The invention discloses an aircraft structure load monitoring method. The method comprises the following steps: S1, polishing a bonding surface on the surface of a refitted key structure of an aircraft fuselage; s2, bonding a strain sensor on the bonding surface; s3, a strain / stress monitoring device is installed in a luggage compartment of the airplane; and S4, an optical fiber lead and a power supply and signal line are laid, the optical fiber lead is connected between the strain sensor and the strain / stress monitoring device and used for transmitting strain and stress data of the surface of the refitted key structure in real time, and the power supply and signal line is used for providing a power source for the strain / stress monitoring device and conducting communication. According to the invention, the stress data of the refitted key part of the aircraft fuselage can be accurately collected in real time, and long-term tracking analysis and maintenance decision are facilitated.

The invention provides a teaching task allocation system based on dynamic heterogeneous resource perception, and the system comprises a heterogeneous resource collection module, a task feature analysis module, an intelligent scheduling decision module, a dynamic load balancing module, a fault tolerance and recovery module, and a performance evaluation module. The system has the following beneficial effects: 1, a physical layer-virtual layer-container layer three-level monitoring system is combined with an edge cloud cooperation mechanism, so that the periodic energy consumption of teaching is reduced by 25%; and 2, double-track analysis of static compiling instrumentation and dynamic behavior tracking is carried out, and Juser / IDE teaching scene features are accurately identified. The invention also provides a distribution method of the teaching task distribution system based on dynamic heterogeneous resource awareness, and the method has the following beneficial effects: 1, the utilization rate of heterogeneous resources is increased by more than 40%, and the utilization rate of the heterogeneous resources is increased by more than 40%; multi-dimensional feature quantization is realized through tensor decomposition; 2, a double-track analysis engine enables the task matching accuracy to reach 92%, and manual intervention is greatly reduced;

This invention relates to a data processing method for single-event multi-track detection based on a time projection chamber, belonging to the field of particle track analysis technology. The method includes the following steps: S1: Denoising preprocessing of the original points; S2: Reconstructing and correcting all tracks in the event using three-dimensional iterative Hough transform and weighted least squares method, outputting the linear equation of each track; S3: For a given straight line, calculating the distance from all points in the event to the straight line, setting a distance threshold, and considering points less than the threshold as points located on the straight line, thereby achieving track splitting; S4: Overfitting processing of the split tracks. This invention improves the processing effect of time projection chamber and other particle track detectors on single-event multi-track detection, providing a practical solution for high-energy particle multi-track detection and identification.

The invention discloses an inspection identification method and system for a dynamic environment, and relates to the technical field of inspection identification. Preprocessing the image data, then determining an effective object, and determining an identification point location corresponding to the effective object; acquiring position change data of the identification point location in a preset time period, and determining a travel path track of the identification point location according to the position change data; performing safety judgment on the travel path track of the identification point location through a preset rule; if the safety judgment result is unsafe, marking the identification point as an unsafe point; and carrying out real-time dynamic tracking on the unsafe point location according to the position change data of the unsafe point location. According to the invention, inspection images are collected in real time, effective objects are accurately positioned, point locations are identified, unsafe point locations can be quickly locked and dynamically tracked in combination with travel path track analysis and safety judgment, the efficient and accurate inspection requirements in a dynamic complex environment are met, and the inspection identification efficiency in the dynamic environment is improved.

The application discloses a kind of detection methods of chip gold wire, comprising the following steps: image acquisition and pretreatment;Gold wire candidate region extraction;Start point and end point identification;Gold wire track geometry analysis;Defect judgment and output mark: according to track analysis result, finally abnormal information is output.The application fully considers the geometric continuity of gold wire and start-stop point connection constraint, adopts image pretreatment to extract gold wire candidate region, combines special optimized A* path algorithm to accurately reconstruct gold wire actual track, and then realizes abnormal identification by track analysis.

The invention discloses a flexible production line production process state monitoring system based on a computer vision technology, and relates to the technical field of flexible production line production monitoring, and the system comprises a visual perception module which collects a production video VID of a flexible production line, carries out the target detection and instance segmentation of a target region, and recognizes a workpiece OBJ, equipment DEV and an operator PER in the flexible production line; the flexible production line is monitored through the visual perception module and the trajectory analysis module, when an abnormal workpiece is detected, the production process of the abnormal workpiece is quickly traced, and the root cause of abnormality formation is determined through the root cause diagnosis module; through the analysis of the beat deviation and the process path of each station, the risk assessment can be dynamically carried out to generate the state level STA, the production state can be recognized in time, the production stability is improved, and the downtime caused by abnormal operation or equipment failure is effectively reduced.

The invention discloses a blast furnace energy efficiency tracking analysis and evaluation method. The method specifically comprises the following steps: S1, continuously collecting blast furnace production operation data and storing the data into an original database; s2, screening data required by the energy efficiency tracking analysis evaluation model from the original database, and performing data preprocessing; s3, the preprocessed data are sent into an energy efficiency tracking analysis evaluation model, and blast furnace operation real-time energy efficiency parameters are obtained through calculation based on the energy balance principle; s4, comparing the real-time energy efficiency parameter of the blast furnace operation condition with the blast furnace energy efficiency grading parameter, and outputting the blast furnace operation energy efficiency grade; and S5, proposing an energy efficiency improvement optimization suggestion according to comparison with the high-efficiency blast furnace operation data. According to the blast furnace energy efficiency tracking analysis and evaluation method provided by the invention, the operation energy efficiency of the blast furnace can be evaluated on line, so that the thermotechnical operation condition of the blast furnace can be timely and accurately known, the energy efficiency abnormity can be timely found, an energy-saving optimization suggestion is provided through the energy efficiency state benchmarking, and the blast furnace energy efficiency and the product competitiveness can be improved.

The invention relates to a calculation method based on discrete ship target navigational speed and course motion characteristics. The calculation method comprises the following steps: S1, acquiring discrete ship target point position information and motion time difference; s2, based on the position information of the discrete ship target point, calculating the big circle distance of the discrete ship target point, and calculating the navigational speed of the discrete ship target point according to the motion time difference and the calculated big circle distance of the discrete ship target point; s3, calculating a spherical distance of a discrete ship target point based on an elliptic model iterative optimization algorithm; s4, constructing a geographic coordinate matrix, and calculating a course angle of a discrete ship target point through a recursion method; and S5, according to the calculated navigational speed, spherical distance and course angle of the discrete ship target point, based on a curve fitting and speed point sampling method, reconstructing the motion track of the discrete ship target point. According to the method, the adaptability to complex motion and sparse redundant data can be improved while the calculation efficiency is ensured, so that a more accurate track analysis result is obtained.

The invention provides an automatic wheel speed calibration compensation method and system for a double-wheel differential robot, the method only utilizes a positioning device of the robot, automatically calculates the calibration compensation amount of the wheel speed according to robot driving track analysis, and when the robot is in subsequent operation, a controller can superpose the theoretical left and right wheel speed values with the wheel speed compensation amount, so that the wheel speed compensation amount can be automatically calculated. And the driving track of the robot can be close to the expected route as much as possible, so that the driving precision of the robot is improved.

The application discloses a kind of financial shared center industry and finance integration process automation processing systems, belong to financial processing technical field, specifically include: business event receiving module receives the industry and finance event stream containing business operation code, transaction entity identification, transaction track description;Industry and finance track analysis module matches benchmark value flow model, based on business node segmentation benchmark value flow model, generates track model;Voucher reconstruction trigger module calls historical transaction feature set when mapping conflict;Voucher template fusion module filters historical template, removes conflict segment, calibrates curvature radius and outputs reconstruction template;Voucher generation module analyzes starting coordinates, converts subject code group into voucher entry, records value fluctuation as verification factor;Traceability output module fuses coordinate sequence, operation record, environment snapshot to generate traceability identification, and outputs to financial shared center;The application improves the accuracy, adaptability and traceability of financial shared center industry and finance integration process processing.

The invention relates to the technical field of work management, and discloses an RFID warehouse employee management method and system, and the method comprises the steps: carrying out the identity authentication of an RFID work card worn by an employee through an RFID detection network disposed in a warehouse, so as to obtain a perception triggering record of the employee in the warehouse; and performing staff movement track analysis on the perception trigger record based on a digital map of the warehouse to obtain movement path information of the staff, performing staff working state evaluation on the movement path information according to a work supervision standard to generate a working state record of the staff, and sending corresponding guide information to the staff.

The invention discloses a user behavior track analysis method and system based on an Gade map. The analysis method comprises the following steps: receiving user behavior track data uploaded by a client; carrying out standardization processing on the collected user behavior track; carrying out deep analysis on a user behavior track; and persistently storing the analysis result. According to the method, the user behavior track is drawn through the Amap, visual display of the user behavior track is achieved in combination with visual display of the PC end, the limitation of single listing of a traditional table data mode is overcome, and the efficiency and accuracy of user behavior track analysis are improved.

The application provides a student homework submission state tracking analysis method, comprising: extracting subject coherence context, content growth, offline import mark and session start and end time stamp from homework editing sessions before and after switching to form an initial editing session archive; according to the connection map, it is judged whether the potential breakpoint exists offline editing and the connection compensation of the cross-device editing track is obtained, the large block content growth appearing in the switching gap ending period is included as a positive factor to form an adjusted integrity score curve; and according to the breakpoint identification result, the subject context of the paragraphs before and after the breakpoint is re-collected and the content growth is re-calculated to obtain the verified subject coherence context and content growth sample, and a verification confirmed homework archive is formed.

The invention provides a hub city associated feature tracking analysis method and system based on network analysis, and relates to the technical field of data analysis, and the method comprises the steps: collecting multi-source and multi-dimensional data of a hub city, and constructing a multi-dimensional database which comprises traffic flow, economic flow, information flow and population flow; with cities as nodes and inter-city flow data as edges, edge weights are set, and a multi-level network model of the hub cities is constructed; carrying out network index calculation based on a network analysis method, and establishing a city multi-dimensional interaction relationship; through time sequence analysis of historical data and real-time data, time sequence reverse tracking and time sequence forward trend prediction are carried out, and multi-dimensional feature association strength and development direction are analyzed. According to the invention, the technical problem that the prediction of the future city development trend is lack of accuracy and foresight because city association analysis is generally carried out based on a single data source and the interaction relationship of hub cities in multiple dimensions cannot be comprehensively reflected in the prior art is solved.

The present application relates to the technical field of electric digital data processing, and especially relates to a target activity rule intelligent analysis method based on sky net big data, comprising the following steps: constructing a knowledge graph and knowledge organization of a target based on sky net big data; acquiring real-time or non-real-time situation data of the target, and tracking and analyzing the activity situation of the target based on the knowledge graph and knowledge organization; analyzing the activity rule of the target based on the tracking analysis result of the activity situation, the knowledge graph and the knowledge organization, and generating and visually displaying a target portrait. Through the research on related technologies such as target knowledge modeling, knowledge organization, intelligent identification, situation tracking research and judgment, activity track information extraction, activity rule reasoning, target portrait generation and final target portrait visual display, the present application realizes the establishment of the correlation between target activities and space-time events from a large number of fragmented and static data, and the mining of certain activity rules.

The invention belongs to the technical field of aircraft electrical systems, and discloses an aircraft power supply system path tracking analysis method based on a console button, which comprises the following steps: modeling an aircraft power supply system, creating the console button and a corresponding instruction according to the inherent action and time sequence of the aircraft power supply system, a console button is clicked to generate simulated excitation to execute inherent actions and time sequences of an aircraft power supply system, the console button is clicked to identify and analyze a power path from a power supply to specified equipment, and whether a potential path exists or not is judged. Through the arrangement of the console button, path tracking can be automatically and quickly started, a current path in the system is analyzed and displayed in a state path form, the analysis range comprehensively covers the whole power supply system, the comprehensiveness and accuracy of potential path analysis of the aircraft power supply system can be improved, and the potential path analysis efficiency is improved. And some potential problems or hidden dangers are prevented from being missed.

The present application relates to the technical field of locomotive blind area early warning, and particularly relates to a locomotive lookout blind area visual early warning system, comprising: a data acquisition module, configured to collect image data of the locomotive in real time; a data analysis module, configured to determine whether the pantograph offset is out of limit based on the pantograph offset; a contact analysis module, configured to determine whether the contact stability meets the standard based on the contact pressure fluctuation value, and to increase the pantograph spring tension according to the difference between the contact pressure fluctuation value and the first contact pressure fluctuation threshold; a line analysis module, configured to determine whether the catenary line recovery is qualified based on the line recovery time length, and to increase the preset interval according to the ratio of the preset line recovery time length and the line recovery time length; and a track analysis module, configured to determine whether the pantograph and the catenary line match meet the standard based on the flatness similarity, and to decrease the lowering pantograph spring tension according to the relative difference between the flatness similarity threshold and the flatness similarity, the present application improves the accuracy of the locomotive lookout blind area early warning.

1. The name of the design product: health index information analysis graphical user interface of electronic equipment. 2. The use of the design product: for electronic equipment. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for tracking analysis and display of health index information. 6. The change state description of the graphical user interface: click on part A in the front view to display the change state diagram. 7. Other circumstances that need to be explained: the coated area in the view is the content picture.