47 results about "Accident analysis" patented technology

The invention provides a vehicle accident data processing method and device and a storage medium, and the method comprises the steps: S1, obtaining the vehicle state information of a vehicle within a preset time range before and after the accident time according to the accident time after a triggering event of an accident is received; s2, inputting the vehicle state information into a pre-trained vehicle accident analysis model, and judging whether the vehicle has an accident or not; s3, when it is judged that the vehicle has the accident, determining the latest effective parking time point; s4, according to the effective parking time point, judging whether at least one piece of alarm data of a predetermined type exists or not; if yes, determining the time corresponding to the first piece of alarm data of the pre-type as the accident occurrence time; otherwise, determining the time corresponding to the vehicle positioning record which is closest to the effective parking time point and has the vehicle speed greater than 0 as the accident occurrence time. By means of the technical scheme, the accident occurrence time can be determined more accurately.

The invention discloses a nuclear power plant accident analysis method and device, and relates to the technical field of nuclear power safety analysis. The method includes: responding to user triggering to perform accident analysis of a first accident type on a nuclear power plant, and acquiring a first input card and a first reference card; the first input card is used for representing an initial analysis condition corresponding to accident analysis of a first accident type of the nuclear power plant, and the first reference card is used for representing an accident verification standard of the first accident type; based on the first input card, calling a first calculation configuration template corresponding to the first accident type to perform accident calculation to obtain a first accident calculation result; the first calculation configuration template is used for representing a calculation process rule of the first accident type; and determining an accident analysis result of the nuclear power plant in the first accident type based on the first accident calculation result and the first reference card. According to the invention, the accident analysis efficiency can be improved.

The application discloses a vehicle safety belt device and a vehicle safety system, which comprise a safety belt, a winding device and a monitoring module. The monitoring module is used for monitoring the length of the pulling-out and winding of the safety belt, so as to judge whether the wearing mode of the safety belt is correct, for example, whether a passenger wears the safety belt and whether the safety belt is correctly worn. By monitoring the pulling-out length of the safety belt, the size of the passenger's body can be judged. When a collision occurs, corresponding safety belt burst points and airbag burst points can be burst, so that better protection is provided for the passenger. By monitoring the pulling-out length of the safety belt, the current sitting posture of the passenger can be judged. When a collision occurs, the posture and displacement of the passenger can be judged by monitoring the pulling-out and winding length of the safety belt, and whether the safety belt is normally actuated can be judged, so that a basis is provided for accident analysis.

The invention discloses a domestic autonomous novel fuel assembly water loss accident analysis method and system and a medium, and the method comprises the steps: calculating the maximum cladding peak temperature for different life periods, obtaining the life period A corresponding to the maximum cladding peak temperature, calculating the maximum oxidation film thickness for different life periods, and obtaining the life period B corresponding to the maximum oxidation film thickness; taking the life period A as a target life period, and carrying out water loss accident analysis by changing the axial power distribution of the domestic novel fuel assembly to obtain the final maximum cladding peak temperature and the maximum oxidation film thickness; taking the life period B as a target life period, and carrying out water loss accident analysis by changing the axial power distribution of the domestic novel fuel assembly to obtain the maximum oxidation film thickness; and comparing the maximum oxide film thickness with the maximum oxide film thickness, and taking the larger value as the final maximum oxide film thickness. The method is suitable for domestic novel fuel assemblies, and the accuracy and efficiency of fuel assembly water loss accident analysis are improved.

This application provides a method, computing device, and storage medium for analyzing accident-resistant fuel core meltdown accidents, relating to the field of nuclear reactor technology. The method provided includes calculations of post-accident core temperature rise and oxidation, oxide layer thinning, fuel cladding damage and fuel collapse, fission product release, and molten pool interaction and heat transfer. This forms a safety analysis method for accident-resistant fuels in core meltdown accidents, supporting the demonstration of safety improvements after accident-resistant fuel core meltdown accidents and guiding the research and design of accident-resistant fuels.

The present application relates to the field of nuclear power unit accident analysis, and particularly relates to a coupling method of VVER unit system program and neutron dynamics program. The method is as follows: a reactor system program is compiled into a dynamic link library by adding an interface function in a three-dimensional neutron dynamics program of a reactor core, and the dynamic link library is accessed and called by the reactor system program in a plug-in mode; a neutron physics model of a specific loading scheme of a VVER type reactor is established; a simulation model of an accident analysis system of the VVER type pressurized water reactor is established; control logic of each main system and device of the primary loop and the secondary loop of the VVER type reactor is established; control logic and conservative condition settings for specific accidents are established; coupling calculation of the reactor system program and the three-dimensional neutron dynamics of the reactor core is performed; and key safety parameters of the VVER type reactor in specific accidents are obtained based on the results of the coupling calculation. The present application can simulate the changes of physical thermal parameters and the action responses of main systems in the primary loop and the secondary loop of the reactor after accidents, and is convenient for efficient and reliable accident analysis of the VVER type nuclear power unit.

According to the automobile electronic data forensics analysis method and device and the storage medium, EDR and VDR data are extracted through a portable automobile electronic data forensics device, and on the basis of the following analysis processes, two automobile driving track points with unified time and space are automatically generated in combination with field investigation data, so that quick reproduction analysis of accident tracks at a software side is realized; the analysis process comprises the steps that a Cartesian simulation coordinate system of the passenger car is established, and simulation track points are generated; based on Kruger-n series expansion of a WGS84 ellipsoid, mapping track points of a simulation coordinate system to a geographic coordinate system through a mapping relation between simulation coordinates corresponding to an anchor point, namely a passenger car collision point and corresponding GPS coordinates; performing affine transformation from a Cartesian simulation coordinate system to a UTM coordinate system; and back projection is carried out, i.e., the UTM coordinate system to the latitude and longitude. According to motor vehicle accident data evidence obtaining and accident analysis, the accident investigation evidence obtaining and analysis efficiency is improved through evidence obtaining tool innovation and accident track reconstruction analysis method innovation.

The invention provides a method and a device for testing vehicle-mounted event data records. The method comprises the following steps that: a signal simulation system obtains field values of a plurality of fields recorded by vehicle-mounted event data, generates scene simulation data based on the plurality of field values, and transmits the scene simulation data to a signal reporting system; the signal reporting system uploads the scene simulation data to an Internet of Vehicles platform; the analysis system obtains a pull value of the scene simulation data from the Internet of Vehicles platform, and obtains an expected value of the scene simulation data from the signal simulation system; and comparing the expected value with the pull value to generate a comparison report. In the mode, all-around test support can be provided for research and development improvement, type authentication and quality control of the EDR product, the reliability and data recording quality of the EDR product can be improved, and a more reliable data basis is provided for automobile safety accident analysis and responsibility confirmation.

The application discloses a shipping accident analysis method, comprising the following steps: constructing a shipping accident knowledge graph; inputting a question, searching the shipping accident knowledge graph by using a search enhancement generation method, and generating an answer; wherein the search enhancement generation method comprises the following steps: analyzing the question by using a large language model, generating a query statement, searching the shipping accident knowledge graph according to the query statement, outputting nodes and edges matched with the query statement from the shipping accident knowledge graph, generating a Bayesian network according to the matched nodes and edges, generating a query result according to the conditional probability of a target node and its parent nodes and / or the posterior probability of the target node and its child nodes in the Bayesian network, inputting the query result into the large language model, and generating an answer according to the query result by the large language model. The application further discloses a shipping accident analysis device, a computer device and a storage medium. By using a large language model combined with a knowledge graph to extract and store shipping accident data, and by using a Bayesian network analysis model to analyze the shipping accident data, the occurrence probability of a complete cause-and-effect chain from causes to results of an accident can be obtained, so that objective and accurate causes and effects of a complex shipping accident can be sorted out, and reliable conclusion opinions can be provided for subsequent shipping business.

This invention relates to the field of road management, specifically to a data-driven road traffic risk control system and method, comprising: a road monitoring module, a vehicle management module, an accident analysis module, a traffic focusing module, and a dispatching and allocation module. The road monitoring module is used to establish a road network model; the vehicle management module is used to plan the optimal driving route; the accident analysis module is used to determine the type of accident; the traffic focusing module is used to optimize patrol routes; and the dispatching and allocation module is used to build an exchange service platform for command and dispatch. This invention can improve traffic operation efficiency, reduce accident risks, build an intelligent traffic management system, enhance the perception and management level of urban traffic, improve the accuracy of traffic accident target detection, improve traffic infrastructure construction, enhance road network safety, optimize the allocation of human and material resources, and reduce traffic management costs.

This invention provides a method and system for optimizing the layout of petrochemical plants based on domino accident analysis. The method identifies all objects requiring domino accident analysis based on influencing factors; it determines the cumulative escalation probability of domino accidents by considering the synergistic coupling effect of equipment analysis on accident escalation probability, combined with the reliability and failure probability of safety barriers; it forms domino accident correlation evolution paths under multiple accident escalation vectors, and establishes a domino accident evolution physical model using node graph technology; it then dynamically simulates and calculates the escalation state and impact range of domino accidents; and it optimizes the layout based on a comprehensive analysis of the cumulative escalation probability, domino accident escalation state, and impact range data, identifying applicable safeguards. This approach overcomes the problems of unclear research criteria, incomplete analysis factors, and limited application scenarios in existing technologies. Based on domino accident consequence assessment modeling technology, it proposes plant facility layout optimization and blocking strategies.

This invention provides a method and system for dynamically analyzing the evolution path of domino accidents in petrochemical plants. The method determines the basic information of relevant accident objects in the petrochemical plant and maps these objects and information into a mathematical model to form a network model. Based on this network model, it considers the synergistic effects of different types of accidents to quantitatively analyze their impact on equipment and determine the dynamic upgrade probability of the equipment. Based on the equipment distribution and dynamic upgrade probability of the petrochemical plant network model, it forms an equipment correlation diagram, enabling the visualization of the domino accident chain. This provides a foundation for establishing accident protection measures for different equipment and controlling the probability of domino accidents. This approach overcomes the shortcomings of existing accident analysis techniques in terms of correlation and comprehensiveness. By quantitatively analyzing the dynamic evolution probability of the accident chain based on the dynamic evolution analysis logic of domino accidents, it facilitates support for flexible prevention and intervention.

The invention discloses a critical accident analysis method for a powder nuclear fuel system. The method comprises the following steps: establishing a neutron dynamics calculation analysis model, a power distribution and fission rate calculation model, a powder nuclear fuel-moderator heat transfer evaporation model, a reactivity feedback calculation model and a powder nuclear fuel expansion deformation calculation model; changes of key parameters of the powder nuclear fuel system in the critical accident transient process are accurately simulated, including temperature changes, volume expansion caused by the temperature changes, wettability changes caused by permeation and evaporation of a moderator, and influences of the parameters on system reactivity. Compared with an existing powder nuclear fuel system critical accident simulation method, the method has the advantages that the wettability is solved by building the powder nuclear fuel-moderator heat transfer evaporation model, the influence of the wettability of the system on the reactivity of the system is considered, and the working condition simulation calculation of the critical accident caused by damping of nuclear fuel powder or permeation of the moderator is successfully realized; and the application scene of modeling simulation analysis of the critical accident of the powder nuclear fuel system is expanded.

This invention discloses an intelligent zero-sequence current transformer and its leakage current detection and fault diagnosis method, belonging to the field of transformer technology. The transformer includes a toroidal magnetic core, a high-sensitivity leakage current detection circuit, and a microprocessor chip. The toroidal magnetic core is installed on the monitored three-phase four-wire cable, and the toroidal magnetic core is connected to the high-sensitivity leakage current detection circuit. The high-sensitivity leakage current detection circuit is connected to the microprocessor chip, which has a communication interface for sending alarm signals and waveform recording files. This invention accurately extracts weak leakage currents through high-sensitivity detection and three-stage cascaded adaptive filtering; it employs a multi-scale time-frequency attention fusion network to intelligently identify various fault types and achieve early warning; and it integrates fault waveform recording functionality to provide complete waveform data for accident analysis, significantly improving the sensitivity and accuracy of ground fault detection and diagnosis, and ensuring the safe operation of the power system.

The invention relates to the technical field of robots, and discloses an accident handling method, an inspection robot, an accident handling device and electronic equipment, the method is applied to a first robot, and the method comprises the following steps: determining a to-be-handled accident site when the first robot runs on a guardrail on one side of a road; under the condition of arriving at the accident scene, in response to a shooting instruction sent by the server, controlling image acquisition equipment to carry out image acquisition on the accident scene to obtain a first image frame; wherein the first robot comprises image acquisition equipment; performing image processing on the first image frame to obtain an accident analysis result of the accident scene; and sending the accident analysis result and the first image frame to a server, so that the server sends the accident analysis result and the first image frame to upstream management equipment. According to the invention, through the inspection of the first robot on the road guardrail and the interactive communication between the first robot and the server, the accident occurring on the road can be found in time and the accident site can be handled.

The application relates to an accident analysis method, system, device and medium based on large model knowledge enhancement, which comprises the following steps: inputting obtained safety accident text data into a pre-constructed large language model to extract the location and production link of a safety accident; extracting entities and personnel operation behaviors in the location and production link by using the large language model; performing mixed knowledge retrieval according to the extracted entities to obtain an entity knowledge set; classifying and reordering the obtained entity knowledge set according to a pre-established knowledge standard, the location and production link and the personnel operation behaviors to obtain an entity knowledge list after reordering; and inputting prompt words composed of the safety accident text, the location and production link, the entity knowledge list after reordering and a safety accident cause request into the large language model to generate a safety accident cause analysis text. The application can be widely applied to the technical field of knowledge enhancement and reordering in computer natural language processing, especially in the field of industrial safety production.

The embodiment of the invention provides a phase modifier simulation method, device and equipment, and the method comprises the steps: obtaining initial working condition data matched with the working condition of a current unit; performing simulation initialization configuration according to the initial working condition data to obtain a simulation initial working condition; and performing target unit simulation according to the time sequence control instruction and the simulation initial working condition to obtain a target simulation result. According to the technical scheme provided by the embodiment of the invention, online simulation with reliable data support and real-time working condition synchronization can be realized, efficient butt joint of simulation and an actual unit is realized, and powerful support is provided for safe operation of a power grid, accident analysis and personnel training.

The application discloses a high-precision firework detection and analysis method and system, and through construction of a high-precision time sequence firework detection dataset, combination of an anchor-free boundary saliency feature network (AFSD) and a multi-stage time sequence action detection technology, accurate positioning (error controlled within 1.5 frames) of starting and ending times of flame and smoke events is realized, so that fire whole-process tracking capability is improved, and reliable technical support is provided for fire early warning, emergency response and accident analysis.

The invention relates to the technical field of storage tank accident analysis, in particular to an oil field storage tank type device accident consequence simulation analysis deduction system which comprises an acquisition unit used for acquiring basic parameters related to accident consequence simulation; the model building unit is used for building an accident consequence simulation analysis deduction model of the oil field storage tank type device according to the basic parameters; and the accident simulation unit is used for performing different types of accident consequence simulation on the target storage tank device by utilizing the model to obtain a simulation result. The problems that in the prior art, simulation deduction cannot be carried out before an oil field storage tank device has an accident, so that a coping measure cannot be planned and formulated in advance, a coping scheme cannot be quickly and accurately formulated according to the trend after the accident occurs when the accident occurs, and the disposal time efficiency is affected are solved.

The invention discloses an insurance claim settlement processing method and platform, electronic equipment and a storage medium, and the method comprises the steps: receiving a vehicle insurance case report initiation request initiated by a client of a driving user, and obtaining case report information uploaded by the client of the driving user; generating a corresponding current car insurance case by using the case reporting information, and initializing the progress state of the case; the case information of the current car insurance case is pushed to other related parties of the current car insurance case, and the progress state is updated; recording a responsibility judgment result of the current car insurance case and updating a progress state; when the responsibility judgment result of the current vehicle insurance case is the auxiliary driving responsibility, associating the accident analysis report with the current vehicle insurance case; wherein the accident analysis report is made based on background data analysis during an accident period; prompting the driving user to carry out loss assessment and maintenance according to the car insurance, and updating the progress state of the current car insurance case; and after vehicle insurance compensation or direct user compensation is completed, the progress state is updated to the final state.

The invention provides a video background replacement method based on a traffic scene, and relates to the technical field of video background replacement, and the method comprises the steps: carrying out the coding of a video frame of an original traffic video through a three-dimensional variational auto-encoder based on a pre-trained video diffusion model, and obtaining a coding background video; removing the video background of the coding background video from Gaussian noise through a denoising diffusion algorithm to generate a clear background video; performing illumination adjustment on the clear background video to obtain an illumination coordinated background video; eliminating inter-frame inconsistency of the illumination coordination background video to obtain a consistency enhanced background video; and synthesizing the foreground video of the original traffic video and the consistency enhanced background video to generate a synthesized video. According to the invention, the problems of poor adaptability and low precision of a traditional background replacement method in a complex traffic scene in the prior art can be solved, the accuracy of traffic video analysis is improved, and the technical effects of peccancy detection and accident analysis are supported.

The invention discloses a memory trace backtracking-based content generation method, and particularly relates to the technical field of big data, and the method comprises the following steps: S01, obtaining to-be-analyzed multi-source heterogeneous original data; s02, carrying out data preprocessing on the multi-source heterogeneous original data; s03, constructing a dynamic evolution memory mark graph based on the multi-dimensional memory mark feature vector; s04, performing backtracking path planning and reasoning on the memory mark graph; and S05, generating target content based on the backtracking path and the multi-dimensional memory mark feature vector. The content generation method based on memory trace backtracking can effectively fuse multi-source heterogeneous data, dynamically model memory trace features and intelligently optimize a backtracking path, and shows high applicability and superiority in various complex application scenes such as accident analysis, fault diagnosis, data archiving and event restoration.

The invention discloses an industrial production safety report generation method and device, equipment and a medium. According to the method, the processed target description data can be gradually analyzed and processed by utilizing the thinking chain cue word engine and the large language model to obtain the accident analysis result, and finally, the industrial production safety report with responsibility judgment can be automatically generated by utilizing the analysis result and the report template, so that the generation efficiency of the industrial production safety report is improved; moreover, through a thinking chain cue word engine and a large language model, all involved subjects involved in the accident can be identified from the accident description data, the behavior of each involved subject in the accident is analyzed to obtain a behavior situation analysis result, and in combination with a responsibility analysis rule base, the responsibility judgment result of each involved subject can be obtained. Through the logical analysis process, the accuracy of the responsibility judgment result can be ensured, the subjective deviation of manual study and judgment is effectively avoided, and then the accuracy of an industrial production safety report is improved.

The invention discloses an intersection accident analysis method and system based on a geographical weighted Stacking algorithm. The intersection accident analysis method comprises the following steps: acquiring a local data set of each target intersection, wherein the local data set comprises a conflict risk index, a driving fluctuation index, intersection accident data and intersection related factor data; probability distribution fitting is carried out on the intersection accident data to obtain a loss function; based on the local data set and the loss function, respectively training four base learners and meta learners, and constructing a geographically weighted Stacking model of each target intersection; based on the geographical weighted Stacking model of each target intersection, obtaining an accident frequency prediction value; based on an interpretable machine learning framework, the influence degree of the features on the accident frequency is obtained, the spatial distribution rule of the influence degree of the features on the accident frequency predicted value and the intersection with the highest accident frequency are determined, key factors influencing the safety of the single intersection are recognized, and the effect of improvement measures is quantitatively analyzed.

The present disclosure discloses systems and methods that can be implemented on the edge system in a vehicle for near real-time detection of collisions with multi-level confidence (i.e., low confidence, moderate confidence, high confidence), automated gathering and report generation of collision information required for post-accident analysis in a manner suitable for insurance company process workflow and storing the confidential collision details securely on the vehicle (edge) system. Confidence is determined by preconfigured adaptive thresholds measured by sensor data.

The invention relates to an automatic driving safety control system based on accident analysis and predefined coping strategies, and the system comprises a multi-source data collection module which is used for fusing real-time vehicle-mounted sensor data, vehicle state data, high-precision map data and V2X communication data, historical accident data and accident prevention success case data are obtained from the cloud historical database; the accident mode analysis module is connected with the multi-source data acquisition module and is configured to analyze the historical data based on a machine learning model so as to construct an accident risk probability model and generate a dynamic local risk thermodynamic diagram in combination with the real-time data; and the strategy dynamic generation module is connected with the accident mode analysis module and is configured to be used for analyzing the local risk thermodynamic diagram and the current vehicle driving state. Through real-time risk assessment and strategy execution, the active safety of the vehicle in a complex traffic scene is significantly improved.

The invention discloses a melt and concrete multiphase heat transfer and ablation diffusion calculation method and system, and belongs to the technical field of pressurized water reactor serious accident analysis. The method comprises the following steps: calculating melt viscosity and diffusion radius through a fragment melt diffusion model, and determining spatial distribution; molten pool temperature and boundary heat flux density are calculated based on spatial distribution and debris decay heat; calculating heat transfer to the coolant layer through a water intrusion model and a melt eruption model; calculating an interface heat transfer coefficient by adopting a gas film or slag film model according to the decomposition state of the concrete; calculating the concrete ablation rate and distance based on the interface heat transfer coefficient; and finally, comparing the ablation distance with the safety thickness to realize the safety quantitative evaluation of the reactor pit. According to the invention, the whole interaction process of the melt and the concrete can be accurately simulated, and reliable technical support is provided for serious accident analysis.

The present application belongs to the technical field of pressurized water reactor nuclear power plant accident analysis, and particularly relates to a complex two-phase discharge load analysis method under water tight condition. The present application comprises the following steps: step 1, carrying out accident analysis under the condition of water tight system to obtain the flow curve of the pressurizer safety valve, and determining the relatively severe primary cause event; step 2, carrying out thermal hydraulic analysis of the discharge process under the water tight condition through the flow curve of the pressurizer safety valve to obtain the parameters in the discharge pipeline downstream of the pressurizer safety valve; and step 3, obtaining the load time history curve of all the pipelines on the discharge pipeline according to the parameters in the discharge pipeline. The present application can evaluate the safety and the rationality of the design of the reactor system when the system appears the water tight condition caused by the misoperation of the injection pump, the misoperation of the residual heat removal pump and the like, provide the load input condition for stress analysis, and provide technical support for the optimization design of the pipeline, support, valve arrangement and the like.

The invention discloses an unmanned ship navigation potential risk event recorder, and relates to the technical field of unmanned ships, and the recorder comprises a data obtaining module which is used for obtaining navigation data; the risk scene understanding and threshold triggering module is used for calculating the risk degree of the current scene according to the navigation data through a plurality of parallel risk judgment processes, and when the risk degree calculated by any risk judgment process exceeds a corresponding preset risk threshold, the risk scene recording and classifying module is controlled to record data streams of risk scene segments; the risk scene recording and classifying module is used for classifying, compressing and storing the recorded risk scene fragments according to preset risk types; and the risk scene shore-based reproduction module is used for reproducing the risk scene fragments. The internal state of the system can be tracked in real time, and accident analysis and tracing can be carried out after an accident.

The invention relates to an automatic driving / driving assistance accident analysis method and device and a medium, and the method comprises the following steps: obtaining vehicle data related to an accident, and calculating a collision time point; the method comprises the following steps: pre-constructing an accident database, marking an accident type scene for each accident sample, and training a deep learning model; the obtained vehicle data are input into the trained deep learning model, accident type scene prediction results are output, responsibilities of different vehicles are determined, accident causes are obtained, and when the vehicle data are complete, the model outputs predicted accident type scenes which are ranked according to confidence degrees from high to low and corresponding confidence degree sequences of the corresponding vehicles; and when the number of the vehicles is two or more, calculating the correlation between the output sequences to obtain a final sequence, and obtaining an accident type scene prediction result based on the sequence. Compared with the prior art, the method has the advantages of accurate accident analysis result and the like.