11 results about "Accident environment" patented technology

The invention belongs to the crossing field of traffic engineering and information technology, and discloses a highway continuous longitudinal slope section traffic safety knowledge graph construction method. According to the method, road section features, traffic flow, historical accidents and environmental data are integrated, and a multi-source data set is constructed through cleaning and standardization processing; defining a road section, an accident, an environment and a vehicle entity, and constructing a multi-level knowledge graph comprising a static topology layer, a dynamic attribute layer and a probabilistic reasoning layer; knowledge triples are extracted by using a natural language processing technology, and real-time risk assessment and early warning are realized by dynamically fusing association logic of gradient, environment and accident data in combination with a rule engine; a graph database is adopted to store the graph, and semantic query and dynamic updating are supported. The method breaks through the limitation of traditional single data source analysis, solves the problem of coupling risk assessment of dynamic environmental factors and static features under complex terrains through multi-source fusion and probabilistic reasoning mechanisms, and remarkably improves the traffic safety risk prediction precision.

The invention discloses a performance detection method for a catalytic plate of a passive hydrogen recombiner of a nuclear power plant. The performance detection method comprises the following steps: S1, building a multifunctional simulation experiment platform; s2, performing pre-experiment characterization on the catalytic plate sample to obtain pre-experiment characterization data; s3, placing the catalytic plate sample in a multifunctional simulation experiment platform, and carrying out normal operation environment simulation and serious accident environment simulation in sequence; s4, after the normal operation environment simulation is finished, taking out the catalytic plate sample, and carrying out multi-dimensional performance index detection to obtain a first-stage detection result; after the serious accident environment simulation is finished, taking out the catalytic plate sample again, and carrying out multi-dimensional performance index detection to obtain a second-stage detection result; and S5, based on a detection result, carrying out comprehensive performance evaluation on the catalytic plate sample. According to the invention, the whole life cycle complex service environment of the catalytic plate can be comprehensively simulated, the accident emergency capability and long-term durability of the catalytic plate are verified, and more reliable equipment performance guarantee is provided for safe operation of a nuclear power plant.

The embodiment of the invention provides an environment risk prediction method and device, electronic equipment and a storage medium, belongs to the technical field of artificial intelligence, and is suitable for the field of financial science and technology. The method comprises the following steps: acquiring original environment data, sample environment data, accident environment data and historical claim settlement data of a preset target area; and according to the data attribute of the accident environment data, dividing the accident environment data to obtain accident environment sub-data. And performing feature fusion on the accident environment sub-data to obtain fused accident environment features. And determining a risk level label based on the historical claim settlement data, and taking the accident type of the accident environment data as an accident type label fused with the accident environment characteristics. And according to the sample environment data, fusing the accident environment characteristics, the accident type label and the risk level label for training to obtain a target risk prediction model. And performing risk prediction on the original environment data based on the target risk prediction model. According to the embodiment of the invention, the accuracy of environment risk prediction can be improved.

A coordination node (1000) is disclosed for coordinating generation of an accident information graph comprising information representative of a vehicle accident environment. The coordination node comprises processing circuitry (1010) configured to detect an event associated with occurrence of a vehicle accident (110) and obtain environment data representative of the vehicle accident environment in which the event was detected (120). The processing circuitry is further configured to generate an accident information graph based on the obtained environment data, wherein the accident information graph comprises a structured representation of the obtained environment data and at least one semantic annotation to the obtained environment data (130).

A method for predicting traffic accidents, a computer device, and a readable recording medium. The computer device analyzes a large number of traffic scene videos to classify the traffic scene videos in which accidents occur, and finds possible factors that lead to the accidents from each type of accident video. Then, based on the possible factors of each type of accident, all factors of the accident environment in each accident video are integrated, and various factor combinations in the same type of accident video are summarized. Based on the results of the summarized various factor combinations, a report is generated, which presents the various factor combinations in the various accident videos occurring at different road sections or intersections.

The invention discloses an electric bicycle traffic risk management and control method and device, equipment and a storage medium, and the method comprises the steps: constructing a basic data set which comprises electric bicycle traffic accident data and road network topological structure data; determining a traffic accident matched with each road network object according to the basic data set, and counting a safety risk coefficient of each road network object according to the traffic accident matched with each road network object; screening out a high-risk road network object from the plurality of road network objects according to the safety risk coefficient of each road network object; association rule mining is carried out on the high-risk road network object to obtain an association rule of the high-risk road network object, and the association rule is a rule between an accident environment attribute and an accident collision type; and setting a management and control strategy of the high-risk road network object according to the association rule of the high-risk road network object.

The present invention discloses a traffic accident video analysis method based on a multi-task learning network, comprising: 1) acquiring and preprocessing traffic accident video data; 2) constructing a multi-task learning network comprising four core modules: a feature extraction module extracts visual and textual features from the video to generate discriminative text prompts; an accident analysis module analyzes the cause of the accident based on the extracted features and provides a basis for determining responsibility; a situational awareness module assesses the accident environment, including weather and road conditions; and an accident report generation module integrates the results of each module to automatically generate a detailed accident report. By efficiently and automatically analyzing dashcam videos, the present invention can quickly extract accident-related information and accurately determine the cause of the accident, providing a highly efficient solution for accident evidence collection and analysis, significantly improving the accuracy and efficiency of traffic accident video scene analysis.

The application belongs to the cross field of traffic engineering and information technology, and discloses a highway continuous longitudinal slope section traffic safety knowledge graph construction method.The method integrates section characteristics, traffic flow, historical accidents and environmental data, and constructs a multi-source data set through cleaning and standardization processing; defines section, accident, environment and vehicle entities, and constructs a multi-level knowledge graph containing a static topology layer, a dynamic attribute layer and a probability reasoning layer; uses natural language processing technology to extract knowledge triples, combines with a rule engine to dynamically fuse the correlation logic of slope, environment and accident data, realizes real-time risk assessment and early warning; uses a graph database to store the graph, supports semantic query and dynamic update.The application breaks through the limitations of traditional single data source analysis, solves the coupling risk assessment problem of dynamic environmental factors and static characteristics under complex terrain through multi-source fusion and probability reasoning mechanism, and significantly improves the traffic safety risk prediction accuracy.

The application discloses a data processing method and device, equipment, a storage medium and product, relates to the technical field of data processing, and comprises the following steps: extracting a claim key element from claim information submitted by a user, determining an initial claim scheme according to the claim key element; acquiring accident environment information corresponding to the claim information, verifying the claim key element according to the accident environment information, and obtaining a verification result; in the case that the verification result is verified, correcting the initial claim scheme according to the accident environment information, and obtaining a target claim scheme. Since the application verifies the claim key element in the claim information submitted by the user according to the accident environment information, and corrects the initial claim scheme according to the accident environment information in the case that the verification is passed, the target claim scheme is obtained, compared with the existing mode that a user submits claim information, and the application can improve the claim efficiency and improve the accuracy of the claim.

The utility model relates to the technical field of cables for nuclear power stations, and discloses a penetration assembly cable for a nuclear power station. The cable comprises a cable core, a filling layer (4) and an outer sheath (5), the cable core is formed by twisting 1-4 wire cores; the wire core comprises a conductor (1), a conductor insulating layer (2) and a conductor wrapping layer (3) which are sequentially arranged from inside to outside. After being connected with an electrical connector, the cable is applied to instrument control equipment connection in a severe accident environment of a nuclear power station, and is used for transmitting logic quantity signals and analog quantity signals. The cable disclosed by the utility model is reasonable in structural arrangement, can continuously work for 60 years in a high-temperature environment of 150 DEG C, and can tolerate 375kGy irradiation dose (gamma ray). And the key electrical performance and the physical and mechanical performance of the cable can be ensured within the service life.

The invention relates to a method and a device for determining severe accident environmental conditions in a containment. The method comprises the following steps: determining an accident stage based on a serious accident judgment criterion, and determining key influence factors of a serious accident environment condition by combining the accident process characteristics of the accident stage; based on the serious accident phenomena associated with the key influence factors, analyzing and determining a typical serious accident sequence in combination with a probability theory and a determination theory, and establishing a reactor analysis model based on the typical serious accident sequence; based on the reactor analysis model, in combination with a serious accident mitigation strategy, performing calculation analysis on the typical serious accident sequence to obtain a temperature and pressure calculation curve of the typical serious accident sequence; and according to a serious accident envelope curve determination principle, on the basis of the temperature and pressure calculation curve, fitting an envelope curve for representing serious accident environmental conditions in the containment. By adopting the method, the severe accident environment condition in the containment can be determined.