9 results about "Accident emergency" patented technology

The present invention relates to a smart factory work environment monitoring system, and more specifically, to a smart factory work environment monitoring system that uses a camera to track moving objects and assigns identification numbers to enable easy monitoring of the factory work environment by identification number, while also enabling rapid recognition and response to the occurrence of emergency accidents.

The application relates to the technical field of emergency management, and discloses a multi-information fusion disaster accident emergency knowledge pushing method, which comprises the following steps: collecting multiple types of disaster related data and preprocessing, and constructing a unified emergency information dataset; inputting the dataset into a pre-constructed time-space-cause three-in-one state transition model to obtain disaster accident scenario evolution data; generating a unified scenario feature vector through a three-level fusion architecture; generating a candidate knowledge set through a thinking chain reasoning combined with an emergency knowledge graph and a pre-trained emergency large model; sorting the candidate knowledge in combination with a disaster scenario, a rescue task and a user role; and performing multi-terminal directional pushing. The application improves the scenario adaptability, multi-source information fusion efficiency and reasoning accuracy of emergency knowledge, realizes personalized pushing of the emergency knowledge, and provides scientific and efficient support for emergency rescue decision-making.

This invention provides a dynamic early warning method for safety risks in the storage and transportation of hazardous chemicals, relating to the field of hazardous chemical safety management technology. A dynamic early warning system for safety risks in the storage and transportation of hazardous chemicals includes a multi-source sensing layer, edge computing nodes, a cloud platform hub, and cascaded early warning terminals. The multi-source sensing layer integrates a vehicle-mounted OBD terminal, a tank pressure and temperature sensor array, an environmental humidity and concentration detector, a GPS and BeiDou dual-mode positioning module, and roadside intelligent cameras, building a data acquisition network for the entire trajectory of hazardous chemical transportation based on various sensing and acquisition devices. By achieving multi-source heterogeneous data fusion, the risk identification time is shortened, model adaptive optimization is achieved, and a coordinated emergency response system is constructed. This addresses the shortcomings of traditional systems that only indicate risks without corresponding response strategies, forming an integrated closed-loop management system of perception, analysis, early warning, and dispatch, thereby improving the level of intelligence in accident emergency response.

This invention discloses an accident emergency management method and system based on a smart road model, belonging to the field of intelligent transportation system technology. The method includes: running a three-dimensional perception network to acquire real-time traffic data of the road network; performing preliminary screening of edge anomalies after spatiotemporal consistency filtering to locate suspected abnormal events; transmitting relevant data to the smart road model to complete accident pattern recognition, obtaining recognition results including high-confidence accident types and lane-level positioning; executing situation-driven linkage decisions based on these results and outputting an emergency command set to implement traffic emergency management coordination. This invention solves the technical problems in road network accident emergency management, such as the lack of comprehensive and accurate collection of road condition data, insufficient accuracy in accident judgment, and imprecise location positioning. It achieves intelligent and collaborative processing of the entire process of road network accidents from data collection to emergency coordination, improving the accuracy of accident judgment and the precision of location identification.

The application provides a vehicle accident emergency response method, an electronic device and a storage medium. The method comprises the following steps: obtaining a target driving path of a first vehicle for a preset cooperative task and an original driving path of a second vehicle, performing risk propagation on a dynamic risk field to obtain a first risk exposure degree of the first vehicle under the target driving path and a second risk exposure degree of the second vehicle under the original driving path, obtaining a first cooperative value of the first vehicle according to vehicle information of the first vehicle, obtaining a second cooperative value of the second vehicle according to vehicle information of the second vehicle, obtaining task allocation information according to the first risk exposure degree, the second risk exposure degree, the first cooperative value and the second cooperative value, and sending a task instruction to a corresponding vehicle to enable the corresponding vehicle to perform a target cooperative task. Thus, when an accident occurs to a target vehicle, surrounding vehicles can provide emergency cooperative response, thereby meeting the intelligent and accurate requirements of accident emergency response.

The application discloses a kind of digital twin emergency plan simulation system and method based on Feiteng CPU, belong to the field of emergency plan, including Feiteng CPU, i3D three-dimensional interactive application engine based on Feiteng CPU and simulation operation unit based on i3D three-dimensional interactive application engine, the simulation operation unit is based on Feiteng CPU architecture under operation, and i3D three-dimensional interactive application engine is used on the Feiteng CPU hardware server.It can be synchronized to twin system in the accident information, dispatch information, emergency measures and the like during accident emergency, can be kept running while synchronously maintaining emergency simulation system, and the complete reproduction, simulation of accident is carried out using twin system.

The application discloses a kind of automatic matching methods of coal mine accident emergency plan, belong to coal mine safety production and emergency management technical field, this method includes: to the pre-processing of multi-source monitoring data, construct numerical characteristics and text features and carry out fusion;Based on fusion feature, use classification model to calculate disaster occurrence probability, determine target disaster type;Conduct confidence evaluation, when lower than first threshold, trigger manual intervention, otherwise generate accident situation information;Rule screening is carried out to plan library to obtain candidate set, and with situation information is semantically matched, determine the highest matching degree of target plan;According to second threshold value, judge matching result, meet the condition when output target plan, otherwise output general plan or trigger manual intervention.The present application realizes comprehensive perception by multi-source data fusion, adopts double-threshold grading decision to ensure matching reliability, and can be based on feedback dynamic optimization threshold, significantly improve the intelligent level and disposal efficiency of coal mine emergency response.

The application discloses a multi-agent nuclear accident dynamic emergency evacuation method and a storage medium, and belongs to the technical field of nuclear accident emergency evacuation. In view of the problem that existing evacuation algorithms do not combine real city fine-grained traffic conditions in the nuclear proliferation scene, the application proposes a grid slicing and dynamic road condition mapping mechanism based on a map API. By obtaining the boundary coordinates of the target area to generate grid slicing, a rectangular query algorithm with frequency control is used to obtain branch-level real-time traffic data and time-series processing; the traffic data is superimposed with a nuclear radiation Gaussian plume space-time diffusion model to construct a radiation and traffic dual risk joint state matrix; based on the matrix, the MAPPO multi-agent reinforcement learning algorithm is used to train the agent through a multi-dimensional reward function to obtain an optimal collaborative evacuation plan that avoids congestion and high radiation areas. The application fills the technical gap in the real fine-grained road network access and multi-agent collaborative scheduling of nuclear emergency evacuation.