32 results about "Crowd evacuation" patented technology

The invention is suitable for the technical field of crowd simulation and emergency evacuation, and provides an emotional infection and social force model coupling-based crowd evacuation method, which comprises the following steps of: constructing an emotional infection model based on an SEIRS framework, dividing individual emotional states into a susceptible state, an exposed state, an infected state and a recovery state, the infection rate and the recovery rate are dynamically adjusted through a feedback function; establishing a social force model, and embedding an emotion value into calculation of a target driving force and a repulsive force between individuals to realize real-time adjustment of the motion behavior by the emotion; global path planning and an ant colony pheromone mechanism are fused, a density perception cost function and pheromone guiding force are introduced, and dynamic blockage avoidance is achieved; a bidirectional feedback mechanism is designed, and local path reconstruction is triggered when congestion is detected. According to the method, bidirectional coupling of emotion propagation and behavior decision is realized, the authenticity and adaptability of evacuation simulation are improved, and a scientific basis can be provided for emergency management and evacuation strategy optimization in public places.

The invention discloses a tunnel fire intelligent evacuation guiding robot system based on multi-modal sensing, which belongs to the technical field of tunnel fire fighting equipment and comprises a multi-source sensing fusion unit, a hierarchical communication decision unit, a dynamic path planning unit, a multi-modal guiding unit and an intelligent inspection unit. The multi-source sensing fusion unit constructs a tunnel three-dimensional point cloud map with centimeter-level precision according to acquired data and performs dynamic environment updating in real time, and the hierarchical communication decision unit adopts dual-mode communication to ensure the stability and reliability of signal transmission under different working conditions; the dynamic path planning unit generates and optimizes a safe evacuation path in real time, and finally the multi-mode guiding unit performs guiding in three modes of visual sense, auditory sense and human body posture tracking so as to guarantee crowd evacuation. According to the robot system, intelligent and efficient evacuation guidance of a tunnel fire scene can be achieved, the efficiency and safety of rescue actions are improved, and unnecessary confusion and danger are avoided.

The application discloses a large-scale crowd evacuation simulation method considering congestion state real-time decision, and belongs to the technical field of crowd emergency evacuation, and comprises the following steps: S1, acquiring crowd to be evacuated, a shelter and road network data in a region; S2, constructing a road passing time calculation model; S3, constructing a full shelter early warning model; S4, constructing a shortest time flow model considering congestion state real-time decision; and S5, obtaining a crowd evacuation movement process by using crowd simulation and performing visual presentation; the application has high simulation efficiency, good precision, good accuracy and practicability for crowd evacuation simulation.

The invention is suitable for the field of computer vision, provides a crowd evacuation path dynamic recommendation method and system based on visual data, and discloses a crowd evacuation path dynamic recommendation method and system based on visual data in the field of computers. Crowd motion video streams are collected in real time, pedestrian head orientation vectors are extracted after preprocessing, a crowd motion velocity field is formed, and a crowd motion state database is established; constructing a visual inertia dynamic model to predict future crowd evacuation path distribution change; the real-time bearing rate of each channel is calculated, and grading early warning is generated by combining capacity threshold pre-judging saturation time; and when the channel reaches the optimal capacity threshold value, determining an upstream branch node, calculating a diversion starting time window and strength, generating a control instruction, and transmitting the control instruction to an indication execution end. Accurate dynamic path recommendation is realized, and evacuation safety and efficiency are improved.

This invention belongs to the field of computer simulation of crowd evacuation, and proposes a crowd congestion prediction method and system based on a spatiotemporal fusion neural network. The method includes: acquiring scene information and crowd state information of crowd movement; constructing a knowledge graph based on the scene information and crowd state information, and preprocessing the knowledge graph; inputting the preprocessed knowledge graph into a graph neural network to obtain a spatial feature matrix; inputting the preprocessed knowledge graph, spatial feature matrix, and crowd state information into the spatiotemporal fusion neural network to predict the movement speed of crowds within a region, and predicting the crowd congestion situation within the region based on the crowd movement speed. The knowledge graph-based construction method of this invention can more comprehensively store heterogeneous information related to crowd movement. Furthermore, using a knowledge graph to represent scene information and store crowd movement state attributes provides relatively complete input information for the next step of the neural network to mine the spatiotemporal correlation of crowd movement.

The application discloses an emergency shelter intelligent management and control system and method based on multi-source information fusion, and relates to the technical field of geographic data processing.The application carries out data fusion on real-time scene data, establishes a dynamic scene monitoring model according to the data fusion result, establishes a historical disaster evolution model according to historical case data, compares the historical disaster evolution model with the dynamic scene monitoring model, selects a comparison case according to the comparison result, simulates the disaster trend in the dynamic scene monitoring model according to the comparison case, covers the simulation disaster trend result on the dynamic scene monitoring model, simulates crowd evacuation with the emergency shelter as a simulation end point on the dynamic scene monitoring model, generates a personnel evacuation route according to the crowd evacuation simulation result, and dynamically adjusts according to real-time scene data during the execution of the personnel evacuation route.

The application is suitable for the field of computer vision, and provides a crowd evacuation path dynamic recommendation method and system based on visual data. The application discloses a crowd evacuation path dynamic recommendation method and system based on visual data in the field of computers. Real-time crowd motion video streams are collected, and pedestrian head orientation vectors are extracted after preprocessing to form a crowd motion velocity field and establish a crowd motion state database. A visual inertia dynamics model is constructed to predict future crowd evacuation path distribution changes. Real-time carrying rates of each channel are calculated, and a saturation time is generated by combining a capacity threshold value to generate a graded early warning. When the channel reaches the optimal capacity threshold value, an upstream bifurcation node is determined, a diversion start time window and intensity are calculated, and a control instruction is generated and transmitted to an indication execution end. The application realizes accurate dynamic path recommendation and improves evacuation safety and efficiency.

The invention discloses a pedestrian evacuation simulation method and system based on crowding and treading effects, and the method comprises the steps: adding a pedestrian crowding force generation and transmission superposition process, and adding an individual pushing and falling judgment mechanism at the same time, thereby carrying out the judgment of individual pushing and falling based on the resultant force generated by transmission superposition, and achieving the simulation of pedestrian evacuation. Further, pedestrian evacuation is simulated more truly, and more real evacuation time and actual tumble space of tumble pedestrians are obtained; thus, the problem that a traditional pedestrian dynamics microscopic simulation model cannot reproduce real crowd crowding force generation and propagation is solved from the technical level, the linkage process of high-density crowd crowding disaster can be completely reproduced, and then the reasonability and accuracy of crowd evacuation simulation data are improved; therefore, the method is very suitable for large-scale application and popularization.

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 application is suitable for the field of crowd evacuation simulation technology, and provides a subway fire scene robot-assisted pedestrian flow evacuation simulation method, which is applied to a subway fire scene, and the method comprises the following steps: obtaining a first position of a fire in a subway station and second positions of all pedestrians in a dangerous area of the fire; determining, according to the first position and the second positions, third positions of guide robots for evacuating and shunting the pedestrians in the dangerous area, and controlling the guide robots to move to the third positions; inputting the first position, the second positions and the third positions into an improved social force model for processing to obtain accelerations of each pedestrian in the dangerous area; determining, according to the accelerations of the pedestrians, positions of the pedestrians at a next moment, and guiding the pedestrians to move to the positions; and detecting whether there is an unevacuated person in the dangerous area, if there is, continuing to evacuate the unevacuated person, otherwise ending the simulation. The application has high intelligence and automation levels, and can quickly and effectively evacuate pedestrians.

The application relates to the field of building evacuation path optimization, and discloses a building evacuation path optimization method and system based on shortest global evacuation time, which can solve the problem that the path optimization method in the prior art cannot truly and accurately reflect the influence of crowd congestion on the evacuation process and cannot reasonably consider the actual situation of crowd evacuation under the congestion state in the path optimization process. The method comprises the following steps: generating a corresponding evacuation road network model from a building plan of a case to be analyzed; determining an evacuation personnel distribution scheme; determining a shortest path evacuation scheme, calculating an evacuation simulation result of the scheme, and obtaining a global evacuation time and a group number of the last completed evacuation; determining an evacuable group set according to a two-way mobilization strategy; setting an initial optimization scheme; iteratively optimizing the evacuation paths of groups in a first optimization adjustment area and a second optimization adjustment area. Finally, an optimized evacuation path scheme and corresponding evacuation process simulation calculation results are output.

The invention discloses an artificial intelligence space people flow evacuation path planning method. The method comprises the steps of determining a space region, collecting space people flow data, establishing a path planning model, outputting an optimal evacuation path scheme and performing safety supervision. The invention belongs to the technical field of path planning, and particularly relates to an artificial intelligence space people flow evacuation path planning method. According to the scheme, a path traffic capacity model based on crowd density is adopted, and correction of the crowd density on traffic capacity is considered; the multi-target path fusion control model comprehensively balances safety, time and capacity factors to obtain a path comprehensive score, then the optimal evacuation direction trend is determined through dynamic path gradient field calculation, and a decision threshold is obtained through a fuzzy decision control equation to adapt to complex conditions; and a data processing technology and a visualization technology are adopted to organize optimal path scheme data of the evacuation planning model, and evaluation indexes are calculated and visually displayed to provide people evacuation navigation guidance.

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 discloses a crowd evacuation modeling method combining a stepping model and a neural network model. The crowd evacuation modeling method comprises the following steps of scene initialization and neural network training; the pedestrian motion simulation comprises pedestrian activation, pedestrian motion direction and speed calculation and pedestrian motion simulation, and pedestrian step length is calculated in combination with a pedestrian panic emotion calculation module; activating pedestrians; calculating the moving direction and speed of the pedestrian; pedestrian motion simulation: updating the pedestrian position according to the pedestrian motion direction and speed obtained in the above steps; and after single pedestrian motion simulation is completed, motion simulation of a next pedestrian is repeated until pedestrian motion simulation of all pedestrians in the model scene is completed. According to the crowd evacuation modeling method combining the stepping model and the neural network model, different models are adopted for simulation in different simulation scenes, the precision and efficiency of pedestrian evacuation simulation are improved, and pedestrian movement, flow distribution of a confluence platform and interaction among pedestrians can be accurately processed in a high-density environment.

The invention discloses an emergency shelter intelligent management and control system and method based on multi-source information fusion, and relates to the technical field of geographic data processing. The method comprises the following steps: performing data fusion on real-time scene data, establishing a dynamic scene monitoring model according to a data fusion result, establishing a historical disaster evolution model according to historical case data, comparing the historical disaster evolution model with the dynamic scene monitoring model, and selecting a comparison case according to a comparison result. Performing disaster trend simulation in the dynamic scene monitoring model according to the comparison case, covering the dynamic scene monitoring model with a disaster trend simulation result, performing crowd evacuation simulation on the dynamic scene monitoring model by taking the emergency shelter as a simulation terminal point, and generating a personnel evacuation route according to a crowd evacuation simulation result, and in the execution process of the personnel evacuation route, dynamic adjustment is performed according to real-time scene data.

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 discloses a kind of crowd evacuation simulation method and system based on emotional infection dynamic evolution model, which comprises the following steps: constructing emotional infection network based on strong relationship and weak relationship in physical space and information space respectively;Determine the emotional infection rules based on strong relationship and weak relationship in information-physical space;Based on emotional infection network and emotional infection rules, combined with mean field theory, construct emotional infection dynamic evolution model based on strong relationship and weak relationship in information-physical space;Solve the emotional infection dynamic evolution model by using finite difference method, and obtain the proportion of different state individuals in crowd evacuation process at any time.The present application is based on the emotional infection rules of strong relationship and weak relationship between individuals in information-physical space, and constructs emotional infection dynamic evolution model, which can truly reflect the dynamic changes of individual social relationship in the evacuation process, provide guidance for crowd evacuation, and assist in crowd evacuation.

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 application is suitable for the technical field of crowd simulation, and provides a crowd evacuation simulation method, device and terminal equipment, which comprises the following steps: constructing a scene model; constructing a pedestrian model and an attacker model based on the scene model, wherein the pedestrian model comprises a pedestrian motion rule, and the attacker model comprises an attacker motion rule; constructing an interaction model based on the pedestrian model and the attacker model, wherein the interaction model comprises multiple interaction modes, and the multiple interaction modes can be converted to each other; and performing crowd evacuation simulation based on the scene model, the pedestrian model, the attacker model and the interaction model. The application can more realistically simulate the crowd evacuation movement in a terrorist attack, and provides data support and scientific basis for the construction and management of public places, so as to reduce the casualties of the crowd in a terrorist attack.

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.

To provide a method for rapid calculation of evacuation time for a crowd in a super high-rise building belonging to the field of building safety technology, the method solving a technical problem in the prior art that existing building evacuation simulation software requires a long time to calculate the evacuation time of a crowd in a super high-rise building.SOLUTION: The present invention includes inputting parameters into a mathematical model, calculating evacuation times for different evacuation methods, and obtaining a total evacuation time. According to the present invention, the evacuation calculation time can be reduced from 1 to 2 hours, as is required by existing evacuation simulation software, to several seconds, while controlling the error of the total evacuation time within 5%.SELECTED DRAWING: Figure 1

To provide a method for rapid calculation of evacuation time for a crowd in a super high-rise building belonging to the field of building safety technology, the method solving a technical problem in the prior art that existing building evacuation simulation software requires a long time to calculate the evacuation time of a crowd in a super high-rise building.SOLUTION: The present invention includes inputting parameters into a mathematical model, calculating evacuation times for different evacuation methods, and obtaining a total evacuation time. According to the present invention, the evacuation calculation time can be reduced from 1 to 2 hours, as is required by existing evacuation simulation software, to several seconds, while controlling the error of the total evacuation time within 5%.SELECTED DRAWING: Figure 1

The invention discloses a crowd evacuation escape action generation method in a three-dimensional scene, and relates to the fields of crowd simulation, action control and action generation. The invention provides a real-time online, personalized, dynamic-sensing and multi-agent parallel three-dimensional crowd evacuation simulation framework for the first time, and is suitable for various scenes and a hundred-person scale. According to the method, a'perception-decision-action 'circulation process is designed to simulate human brain behaviors, a 3D self-adaptive social force model is provided to avoid falling and collision in a 3D environment, and evacuation speed control capable of being updated online for individuals is realized; a personalized gait controller is designed, and personalized movement can be generated according to attributes such as age and physical conditions; in order to improve the interpretability of evacuation behaviors, a part-level force visualization module is designed and used for analyzing individual contact stress. According to the method, online dynamic path planning and individual behavior simulation under irregular terrains are supported, and a more real and credible evacuation effect can be generated.

The invention relates to a method for evacuating passenger flows in large-scale activity venues, in particular to a method for evacuating passenger flows in large-scale activity venues. The objective of the invention is to solve the problems of traffic jam and difficult return trip of audiences when an existing method deals with a large-scale activity field. The method comprises the following steps: collecting and storing travel demands of audiences; obtaining a traffic time matrix; path planning is carried out on the first day of ticket selling; route planning on the day is carried out from the second day when ticketing is started to the day before the activity starts; after the large-scale activity is finished, if the temporarily increased travel demand of the audience exists, it is judged that the increased travel request is feasible, if the increased travel demand of the audience is feasible, the temporarily increased travel demand of the audience is met, and if the temporarily increased travel demand of the audience is refused, final customized travel route information is pushed to the passenger; and if the temporarily increased audience travel demand does not exist, pushing final customized travel route information to the passenger. The method is applied to the traffic field.

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 provides a convention and exhibition building crowd evacuation simulation method and system based on risk perception, an electronic device and a medium, and belongs to the technical field of crowd evacuation simulation. First, convention and exhibition building evacuation scene parameters and personnel parameters are acquired, an evacuation scene model is constructed, and personnel is imported into the evacuation model. Then, a risk perception model containing three elements of alarm prompts, danger sources and information transmission is constructed, and the model is coupled with personnel movement. A K-means method is used to divide the personnel to be evacuated in the evacuation scene into a plurality of groups, and an exit is assigned to each group according to the distance. A macroscopic path is planned through an improved artificial bee colony algorithm, and personnel microscopic movement is simulated through a cellular automaton model, so that a personnel evacuation path is obtained. The method can actually reflect the behavior of personnel during evacuation, plan a more reasonable evacuation path, and provide a guidance basis for evacuation under the condition that the convention and exhibition building contains obstacles.

The invention relates to the technical field of emergency evacuation, in particular to an analogue simulation method based on a complex building crowd evacuation model. The method comprises the following steps: dividing personnel in a target building into an evacuation group, and combining a planned evacuation route of the personnel in the evacuation group with actual staying time of staying nodes on the evacuation group to obtain a theoretical evacuation route; determining an evacuation confusion degree based on the number of evacuated groups accommodated by the example node in the sub-period and the theoretical residence time; determining an evacuation risk degree based on the evacuation confusion degree and the volatility trend of the example node in each sub-time period in the simulation time period; and based on the evacuation risk degree difference between the example node and the adjacent node on the theoretical evacuation route, adjusting the theoretical staying time of the example node, determining the optimized staying time, and determining the optimized evacuation route of the example group. According to the method, the personnel in the building are divided into groups, the residence time of the nodes on the evacuation route is adjusted by considering path crossing and congestion, and the evacuation accuracy of the super high-rise building in a complex environment is improved.