4 results about "Crowd evacuation" patented technology

Systems, methods, and media for smart city crowd evacuation based on an Internet of Things (IoT) large model are provided. The method is executed by an emergency supervision management platform. The method includes: acquiring regional monitoring data based on an emergency supervision sensing control platform through a monitoring device deployed in a monitoring region; determining a regional congestion risk based on the regional monitoring data; in response to the regional congestion risk satisfying an evacuation condition: determining an emergency evacuation parameter based on the regional congestion risk; transmitting an emergency control signal to an emergency evacuation device deployed in the monitoring region via an emergency supervision sensing network platform based on the emergency evacuation parameter, to control an opening interval of a channel gate based on a traffic control parameter, and to control a display content of an electronic display board based on a traffic guidance parameter.

The application discloses a kind of crowd evacuation flow prediction methods based on multi-level causal counterfactual memory enhancement, comprising: obtaining flow monitoring data and corresponding geographic spatial position data, establish the memory bank consisting of semantic, plot, procedure memory;Space-time data set is constructed based on flow monitoring data and geographic spatial position data;Procedure memory: for storing several kinds of intervention scripts, the intervention script is node flow limiting strategy;If it is judged that the current flow monitoring data is abnormal congestion state and is historical regularity congestion snapshot data, then extract the causal weight, time window segment and intervention script matched with the current from the memory bank, and inject it into the prompt word of large language model;The prompt word is input into large language model, and crowd flow is predicted.The application significantly improves the crowd flow prediction accuracy in large-scale activity complex environment.

The application belongs to the technical field of disaster emergency management, and discloses a kind of urban flood disaster emergency evacuation optimization method, comprising: S1, the basic data of urban area is collected;S2, the basic data is input into the flood inundation model based on InfoWorks ICM, simulates the flood inundation scene of urban area under a rainstorm and outputs flood inundation simulation result;S3, the attribute of evacuation agent in the multi-agent emergency evacuation model based on NetLogo is set, and the evacuation agent includes autonomous decision-making population and dependent guide type population, and the guide is set in autonomous decision-making population;S4, the flood inundation model is integrated into the multi-agent emergency evacuation model, a plurality of different evacuation strategies are set, the evacuation of evacuation agent is simulated, and different evacuation results are obtained;S5, the implementation effect of a plurality of different evacuation strategies is evaluated according to the evacuation result, and the optimal strategy is determined. The urban waterlogging water dynamic and the evacuation behavior of different populations are accurately simulated, and the evacuation efficiency is improved.

This invention discloses a security alarm location and path planning method and system based on BIM spatial topology, relating to the field of fire safety technology. By deeply integrating static BIM topology with multi-source real-time sensor data, this invention constructs a dynamic digital twin foundation that accurately maps physical space, solving the problem of fragmented situational awareness caused by the separation of static and dynamic data in existing technologies. It introduces a multi-dimensional dynamic risk field model based on spatial topology networks, capable of simulating risk diffusion, providing a forward-looking assessment capability for the dynamic evolution of disasters such as fire spread and smoke diffusion. A dual-path collaborative planning engine integrating firefighter rescue path optimization and crowd evacuation path optimization, with embedded conflict detection and resolution mechanisms, ensures the physical feasibility of the planned paths and the accuracy of information delivery, achieving a leap from passive static response to proactive dynamic intelligent collaboration, significantly improving the overall efficiency, safety, and reliability of emergency response in complex building environments.