11 results about "Crowd evacuation" patented technology

This disclosure belongs to the field of crowd evacuation simulation technology, and provides a data-driven crowd group movement simulation method and system, including the following steps: acquiring crowd video data; dividing the acquired crowd video data into crowd groups; extracting crowd movement attributes based on the divided crowd groups; quantifying the extracted crowd movement attributes into group attributes to obtain group attribute quantification results; and obtaining a simulation animation of crowd group movement based on the obtained group attribute quantification results and a crowd simulation platform to realize the simulation of crowd group movement.

The invention relates to the technical field of emergency evacuation prediction, and discloses a crowd emergency evacuation prediction method based on a multi-agent system, and the method comprises the steps: carrying out the fusion of multi-source positioning data after time alignment and space registration through employing a weighted time sequence fusion algorithm, and obtaining an environment state vector; taking to-be-evacuated persons as individual evacuation agents, generating individual behavior parameters based on historical individual information, and performing emergency evacuation response modeling on the individual evacuation agents to obtain perception delay of the individual evacuation agents; and predicting a moving track of the individual evacuation intelligent body, predicting a congestion risk and a fire risk of each building area, and carrying out dynamic re-planning evacuation path real-time correction processing on the individual evacuation intelligent body. According to the invention, on the basis of multi-source positioning perception, a multi-agent cooperative crowd evacuation mode is constructed, individual evacuation tracks and regional risks are dynamically predicted, and accurate prediction and evaluation of the crowd emergency evacuation process are realized through real-time path re-planning.

The invention relates to the technical field of crowd evacuation guiding, in particular to a crowd dynamic evacuation guiding method based on an emotional infection model, which comprises the following steps: acquiring multi-source sensing data such as a crowd density thermodynamic diagram, panic scream frequency distribution and real-time passage counting of gates at entrances and exits of a target place; after carrying out space-time alignment on the crowd density thermodynamic diagram and panic scream frequency distribution, inputting an emotional infection propagation model to generate a dynamic emotional field distribution diagram; calculating an instantaneous evacuation potential value of a candidate evacuation channel in combination with real-time passage counting, and screening a priority evacuation channel set; and extracting channel surrounding environment constraint parameters to generate a path weight matrix with physical capacity limitation, superposing emotional excitement indexes to remove conflict paths, and determining a final guide path set. According to the method, more accurate and more efficient crowd dynamic evacuation guidance can be realized.

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 is suitable for the field of crowd simulation and emergency evacuation, and provides a crowd evacuation method based on emotion contagion and social force model coupling, which comprises the following steps: constructing an emotion contagion model based on SEIRS framework, dividing individual emotion state into susceptible state, exposed state, infected state and recovered state, and dynamically adjusting infection rate and recovery rate through feedback function; establishing a social force model, embedding emotion value into target driving force and individual repulsive force calculation, realizing real-time adjustment of emotion on movement behavior; fusing global path planning and ant colony pheromone mechanism, introducing density perception cost function and pheromone guiding force, realizing dynamic congestion avoidance; designing a bidirectional feedback mechanism, triggering local path reconstruction when congestion is detected. The application realizes the bidirectional coupling of emotion transmission and behavior decision, improves the reality and adaptability of evacuation simulation, and can provide a scientific basis for public place emergency management and evacuation strategy optimization.

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 invention provides a crowd evacuation method based on multi-modal perception and particle swarm optimization, and the method comprises the steps: determining a high-risk region through a building information model and historical passenger flow data; deploying multi-modal sensor nodes in the areas, and collecting multi-modal data; calculating the risk level of each high-risk area according to the real-time data by using an improved particle swarm optimization algorithm, and determining an optimal dredging target point of each area; constructing a real-time risk potential field graph based on the optimal evacuation target point and the spatial layout of the high-risk area, and generating a safe evacuation path by adopting a path planning algorithm; and according to the risk level and the path planning result, dynamic evacuation guidance is carried out on the crowd through a multi-mode alarm device, and it is ensured that people are rapidly and safely evacuated to a safe area. According to the invention, risks can be evaluated in real time, path planning can be optimized, and dynamic guidance can be implemented through a multi-mode alarm system, so that congestion and risks in an evacuation process can be effectively reduced, and emergency response capability and personnel safety can be improved.

The invention discloses a dynamic crowd evacuation simulation method based on generative artificial intelligence and an application thereof. The method comprises the following steps: constructing an evacuation scene model; initializing a behavior state model; dynamically generating individual behavior parameters based on the state information of the pedestrian and a pre-trained generative artificial intelligence model; performing evacuation simulation in the evacuation scene model, planning an evacuation path based on the individual behavior parameters and the state information in each time step of simulation, simulating movement behaviors of pedestrians based on the state information, the individual behavior parameters and the evacuation path of the pedestrians, and updating the behavior state model, and the simulation is finished. According to the method, the individual behavior parameters of environment perception are generated based on the generative artificial intelligence model, and path generation, selection and re-planning are performed based on conflict perception, so that the stability, authenticity and application range of the crowd evacuation model in a complex scene are effectively improved.

The application discloses a simulation method for emotional contagion in a sudden public event based on an improved SIRS model, gives a function for quantifying the panic emotion of pedestrians, and gives a calculation method for related time-varying parameters of panic emotion contagion in a crowd based on the contagion mechanism of an infectious disease.The application comprises the following steps: a three-dimensional simulation modeling of a public place with a sudden accident is performed by using a computer simulation software; an emotion function for quantifying the risk perception of pedestrians is proposed, and the emotion values of the pedestrians to be evacuated are randomly set; the emotion states are divided according to the risk perception degrees of the pedestrians; the calculation method for related time-varying parameters of panic emotion contagion in a crowd is determined; an SIRS state transition relationship considering the risk perception and self-emotion regulation of the pedestrians is established; the evacuation speed of the pedestrians under the emotional contagion is determined, and simulation is performed; and the application can reflect the phenomenon that the pedestrians have panic emotions when a sudden event occurs and the panic emotions spread in a crowd, thereby providing decision support for preventing and managing the sudden event, especially simulating the crowd evacuation process after the event and formulating an evacuation scheme.

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.