34results about How to "Improve evacuation efficiency" patented technology

The invention relates to the technical field of fire fighting systems, and discloses an intelligent fire fighting system based on the Internet of Things and artificial intelligence technology, and the system can timely discover fire hazards and perform early warning by monitoring and intelligently analyzing the fire fighting safety of a building in real time, thereby effectively preventing the occurrence of a fire. When a fire occurs, the system can quickly transfer fire extinguishing power and automatically generate and optimize an optimal fire extinguishing and escape strategy, and the escape strategy guides personnel to escape through the guide module, so that the efficiency and safety of fire extinguishing rescue and personnel evacuation are improved; besides, the intelligent fire-fighting monitoring platform provides a visual user interface, supports real-time monitoring and decision-making command of firefighters, and realizes comprehensive control of a fire scene. The limitation of a traditional fire safety means in complex scenes is overcome, intelligence, automation and high efficiency of fire safety work are achieved, and safety is improved.

The invention relates to the field of bus scheduling and path optimization, and provides a passenger bus connection method, device and equipment under subway operation interruption, and the method comprises the steps: building a passenger transfer demand distribution randomness model based on historical data, the historical data being passenger transfer demand data; determining a passenger evacuation strategy according to the fault station and the passenger transfer demand distribution randomness model; determining a candidate bus route set based on a passenger evacuation strategy; constructing a bus connection model based on the candidate bus route set, and determining an optimization target taking minimization of total delay as the bus connection model; the total delay is determined according to the delay of common passengers, the delay of passengers who do not get on the bus successfully and the delay of detained passengers; and solving the optimization target based on a genetic algorithm, and outputting an optimal solution. According to the invention, the defect of low scheduling efficiency of a traditional single line connection method in the prior art is overcome, the evacuation efficiency is improved, and passenger delay is reduced.

The application provides a full-automatic driving A-type vehicle pneumatic emergency safety device and belongs to the technical field of rail transit. The control cabinet comprises two groups of vertical skeletons, the vertical skeletons have stands arranged in two sections and sliding on guide sliding blocks, the two sections of the stand are hingedly connected, the bottom end of the stand is connected with a traction steel wire and is wound on a retractable steel wire roller, when evacuating, the lower section of the stand of the control cabinet moves downward along the guide sliding block and is separated from the guide sliding block, the retractable steel wire roller and the traction steel wire pull the lower end of the stand to deflect, then the upper section of the stand moves downward along the guide sliding block so that the top surface of the control cabinet is flush with the vehicle floor, the hiding of the control cabinet is realized under the condition that the space at the bottom of the vehicle is limited, an auxiliary folding ramp is arranged on the vehicle floor and at the side of the control cabinet close to the vehicle head, so that the driver and the passenger in the vehicle head can cross the control cabinet and evacuate through the auxiliary folding ramp, the evacuation congestion problem is avoided, and the safety of the vehicle is higher.

The invention relates to the technical field of escape corridors, and discloses an escape corridor for high-rise fire evacuation and a use method of the escape corridor. A protective net; an escape hole; one end of the escape pipeline is connected with the escape hole, the other end of the escape pipeline extends into the building, and a fireproof door is arranged at the other end of the escape pipeline; a waterproof layer; the slide assembly is arranged in the escape corridor body in the vertical direction, an escape platform connected with the escape hole is arranged on the side, close to the building, of the slide assembly, and the slide assembly is used for evacuees to slide to the ground from the escape hole; an emergency lighting assembly; the smoke exhaust assembly is arranged in the escape pipeline; and the alarm device is arranged on the escape corridor body and used for giving an alarm when a fire disaster occurs. According to the method, the evacuation efficiency is improved, the operation cost is reduced, and an innovative solution is provided for safe fire evacuation of the high-rise building.

The present application provides a method and system for predicting crowd evacuation congestion propagation based on a knowledge graph, which relates to the technical field of crowd evacuation computer simulation. By constructing a crowd evacuation knowledge graph, the path subgraph at each moment and the observation information of each node are extracted; the path subgraph and the observation information of each node are processed by multi-layer graph convolution to obtain the spatial correlation characteristics of congestion propagation; and the dynamic time characteristics of congestion propagation are obtained by using an LSTM network; the spatial correlation characteristics and the dynamic time characteristics are fused to obtain the crowd density of the future time slice of the road section; the congestion propagation graph is determined according to the crowd density of the road section and the connectivity of each road section in time and space. In this way, taking into account the current crowd congestion state, it is possible to predict in real time which road sections will be affected in the future, which is conducive to timely formulating corresponding congestion relief strategies and improving the efficiency of crowd evacuation.

The present invention relates to the technical field of revolving doors, and discloses a revolving door access control device, including a revolving door overall frame, a driving assembly is installed on the inner side of the top of the revolving door overall frame, a rotating joint is fixedly connected to the bottom of the driving assembly, a column is installed below the rotating joint, four equally spaced outer door frames are fixedly connected to the circumference of the column, and a connecting plate is hingedly connected to the inner upper end of each outer door frame on the side away from the column. When it is necessary to evacuate people in a public place, this revolving door access control device can start a bidirectional motor, which will drive two screw rods to rotate, and a threaded block threadedly connected to the screw rod will move in a direction away from the column. When the threaded block moves, it will move the connecting plate through a slider, so that the connecting plate and the inner door frame rotate, so that the four inner door frames are fully unfolded, and then people can pass directly from the middle position, so as to improve the evacuation efficiency of public places and reduce the difficulty of evacuation.

The invention discloses an evacuation path planning system based on spontaneous geographic information, and relates to the field of evacuation path planning. The invention aims to solve the problem of low evacuation efficiency caused by an evacuation path obtained by an existing evacuation path planning method. The method comprises the following steps: searching and acquiring basic data of a target area on a social media platform by utilizing a place name of the target area; the target area basic data comprises a description text and image data; the basic data preprocessing module is used for preprocessing basic data of a target area; obtaining a text element set and a picture element set by utilizing the preprocessed basic data of the target area; constructing an element library by utilizing the text element set and the picture element set; and assigning weights to the elements in the element library, thereby setting an evacuation path according to the element weights. The method is used for drawing the evacuation path.

The present invention relates to the technical field of intelligent road signs, and in particular to an intelligent road sign indication system based on route planning, comprising: an intelligent road sign, including a direction sign, a display touch screen and an alarm light, for indicating the direction of travel to the user and displaying the route and images of markers, and indicating the direction of travel of an emergency shelter in an emergency; an interactive unit, for receiving a destination input by a user and marking the user at the same time, and determining whether the user on the route deviates from the route; a planning unit, for planning the route according to the destination; a cruise drone, for collecting road condition information, and performing occlusion detection and driving the intelligent road sign to travel to an unobstructed road sign point through the interactive unit. The present invention can quickly plan the optimal route by setting the above-mentioned device, and further improve the accuracy of the intelligent road sign while providing clear direction guidance.

The invention discloses an emergency evacuation planning method based on improved ant colony algorithm and genetic fusion, and belongs to the technical field of emergency management and public safety. The method comprises the following steps: constructing a multi-objective optimization model taking minimization of total evacuation time T, total road section risk R and total personnel panic index P as objectives, and solving the multi-objective optimization model based on fusion of an improved ant colony algorithm and a genetic algorithm to obtain an optimal evacuation path scheme. The evacuation efficiency, safety and personnel psychological factors are comprehensively considered, the state transition probability and the pheromone updating strategy of the ant colony algorithm are improved, the global search mechanism of the genetic algorithm is introduced for deep fusion, and finally, the evacuation efficiency can be improved in a complex evacuation scene. And a global optimal evacuation path giving consideration to timeliness, safety and personnel psychological factors is quickly planned, and the evacuation efficiency is effectively improved.

The utility model provides a smoke exhaust window for a building, which belongs to the technical field of fire-fighting doors and windows, and comprises a door frame and a smoke exhaust window, the door frame is fixedly connected with a wall body, the door frame is of a rectangular structure, the smoke exhaust window is embedded in the door frame, a fireproof layer is fixedly connected on the smoke exhaust window, and the fireproof layer is fixedly connected with the smoke exhaust window. The inner side of the door frame is rotationally connected with a turnover mechanism, the turnover mechanism is rotationally connected with the smoke exhaust window through a pin shaft, the smoke exhaust window is used for exhausting smoke from the interior of a building, the turnover mechanism is used for rapidly opening the smoke exhaust window, and the turnover mechanism comprises a first lantern ring, a second lantern ring, a third lantern ring, a fourth lantern ring and a supporting rod. The first lantern ring and the second lantern ring are rotationally connected with the upper top face of the door frame, the third lantern ring and the fourth lantern ring are rotationally connected with the lower bottom face of the door frame, and the problem that the smoke exhaust size of an existing smoke exhaust window is limited by opening of the window, and the smoke exhaust effect is affected can be solved.

The invention relates to the technical field of filter elements, in particular to an anti-overflow filter element and a water purifier.The anti-overflow filter element comprises a shell, a transverse filter layer, a rear carbon layer, a mounting frame, a driving mechanism, blades, a flow turning mechanism and a water outlet, the transverse filter layer and the rear carbon layer are sequentially mounted in the shell from bottom to top, and the transverse filter layer comprises a PP cotton layer and an activated carbon layer; the mounting frame is mounted above a rear carbon layer, the driving mechanism is mounted at the mounting frame, the blades are mounted in the mounting frame, the flow turning mechanism is mounted at the blades, the water outlet is formed in the side wall of the mounting frame, water flow drives the flow turning mechanism to move through the driving mechanism, and the opening speed of the water flow and the flow discharge size are associated through the opening and closing mechanism. And therefore, the flow can be adjusted in a self-adaptive manner through the internal blades when the discharge amount of the flow is small.

The invention relates to the technical field of traffic management, and particularly discloses an intelligent system for processing urban traffic information, which is characterized in that a traffic flow sensor and a high-definition camera are deployed to collect data such as traffic flow, vehicle speed and vehicle density of each branch in real time and transmit the data to a central platform; the system comprehensively analyzes the logicality and credibility of the data through the data accuracy evaluation module to ensure the accuracy of the data; then, the congestion analysis module calculates the congestion coefficient of each branch based on the accurate data, and judges whether congestion occurs or not and classifies the congestion; the evacuation capability analysis module evaluates the evacuation capability of the congestion branches, and finally the branch division and processing module divides the branches into easy evacuation and difficult evacuation according to the evacuation capability, and adopts different management measures, such as improvement of monitoring frequency, early warning and adjustment of signal control, so as to realize intelligent traffic management and quick response.

The invention relates to the technical field of public safety risk assessment, and particularly discloses a crowd simulation-based ramp area public safety risk assessment method, which comprises the following steps of: analyzing distribution of pedestrians on a ramp, interaction characteristics of the pedestrians and environmental factors in real time; a ramp evacuation model based on a speed-density rule, a pedestrian speed heterogeneity rule, a pedestrian ramp interaction rule and a ramp risk assessment model are constructed, and risk coefficients in a ramp are assessed by using the models, so that related personnel are helped to assess the risk bearing capacity of the ramp. According to the speed-density-based method for introducing the mesoscopic model into the microscopic model, the speed of the pedestrians is restricted by the crowd density, and the actual situation is better met. According to the method, the high precision of the microscopic model is reserved, and the calculation efficiency is improved. Through reasonable algorithm design and a calculation method, real-time simulation can be rapidly completed in a high-density crowd environment, and the calculation burden caused by grid refinement is reduced.

The application relates to a dynamic guiding sign optimization method, which comprises the following steps: dividing the internal evacuation space of a subway station into multiple cells, and constructing a space discrete model according to the actual space structure, a preset channel connection relationship and a preset evacuation; defining the number of passengers in each cell and the passenger transmission flow between adjacent cells in the current time step, and deducing the evacuation process of the passengers in the multiple cells based on preset supply and demand constraints to construct a cell transmission model; mapping the fire environment parameters to the cell level to correct the traffic capacity of the cell in the fire environment; constructing a dynamic guiding sign optimization model, embedding the uncertainty in the fire environment into the dynamic guiding sign optimization model to form a dynamic guiding sign robust optimization model; and solving the robust optimization model and obtaining the optimal dynamic guiding sign pointing strategy through iterative updating. The intelligent level of evacuation guidance in the fire environment is significantly improved, and effective technical support is provided for the emergency management of large subway stations.

The invention relates to the technical field of unpacking equipment, in particular to a semi-gloss high-white fiber unpacking machine for non-woven fabric processing, which comprises a support frame, a semi-gloss high-white fiber bale opener, a semi-gloss high-white fiber bale opener and a semi-gloss high-white fiber bale opener, the unpacking funnel is detachably fixed to the top of the supporting frame, a transmission sealing box is arranged on the inner side wall of the unpacking funnel, a transmission part is installed in the transmission sealing box, and the transmission part is fixedly connected with the inner side wall of the unpacking funnel through a plurality of supporting strips; the unpacking machine has the beneficial effects that through the ingenious design of the transmission part, power input from a rocker to precise control over an inserting cone and a cutter are achieved, and the unpacking efficiency is greatly improved. Especially for raw materials such as semi-gloss high-white fibers which are easy to wind and difficult to disperse, the inserting and cutting actions of the cutter are rapid and accurate, and the problems that the fibers are easy to knot and difficult to treat in a traditional unpacking mode are effectively solved.

The invention discloses a scenic spot emergency dispersion route planning method based on an improved A star algorithm, a storage medium, equipment and a computer program product, and the method comprises the steps: carrying out the grid division of a scenic spot, searching for an adjacent grid according to a grid where a tourist is located when an emergency occurs, building a safety cost function, and carrying out the calculation of the safety cost function; calculating the time for the tourist to move to each adjacent grid and a time cost function; establishing a heuristic function according to the Euclidean distance between each adjacent grid and each exit of the scenic area; constructing a total cost function by using a safety cost function, a time cost function and a heuristic function, arranging the total cost function according to a sequence from small to large, and selecting a plurality of first adjacent grids as grids where tourists are located after the tourists move; and for the grid where each tourist is located after the tourist is moved, the above process is repeated until the grid where the tourist is located after the tourist is moved is the exit of the scenic spot, a plurality of paths of the tourist moving from the grid where the tourist is located to the exit of the scenic spot are obtained, and the shortest path is used as a tourist emergency guidance path.

The embodiment of the invention provides a data processing method and device, equipment and a medium. The method comprises the following steps: displaying a travel planning path corresponding to a target object in a car-hailing platform; in response to a vehicle reservation operation for the travel planning path, displaying travel identification information corresponding to the target object; the travel identification information is used for matching the target object with vehicles supported by the car-hailing platform; and if the travel identification information is successfully matched with the travel of the target vehicle, displaying the travel information corresponding to the travel planning path in the car-hailing platform. By implementing the embodiment of the invention, the passenger flow evacuation efficiency can be improved.

The present invention discloses a linkage anti-theft escape window, which comprises a window frame, a left fence is installed on one side of the window frame through a first hinge, a right fence is fixedly installed on the other side of the window frame, a folding ladder is arranged on the right fence, the bottom of the folding ladder is connected to the corresponding position of the bottom of the right fence through a second hinge, and the left fence and the folding ladder are both controlled by a machine capable of detecting indoor smoke and flame and giving an alarm. The present invention solves the problems that the current anti-theft windows have poor anti-theft performance, people can open the anti-theft escape window from the outside, the anti-theft escape window cannot form a coherent escape channel, the trapped people can only wait for rescue outside the anti-theft window, and there is no safety guarantee when people climb the escape ladder.

The invention discloses a BIM-based building weak current system design auxiliary method, and relates to the technical field of weak current systems.The method comprises the steps that firstly, a building is modeled through the BIM technology, weak current system equipment is embedded into a BIM model, the BIM model is connected with a central control system through the Internet of Things technology, and fire detection data are collected in real time; the method comprises the following steps: transmitting fire detection data to a central control system, calculating, outputting fire analysis data, storing the fire analysis data, calculating in real time according to the fire analysis data, outputting a fire dangerous area Alanger (t) and an emergency lighting priority Lprioritization, calculating and evaluating the fire dangerous area Alanger (t) and the emergency lighting priority Lprioritization to ensure that the lighting is preferentially concentrated in a required area, and when a fire occurs, the emergency lighting priority Lprioritization Lprioritization Lprioritization Lprioritization Lprioritization Lprioritization Lprioritization Illumination in a fire hazard area can be intelligently turned off, people are prevented from being misguided to enter a high-risk area, and meanwhile sufficient illumination brightness is provided in a safe area. An intelligent regulation and control mechanism optimizes resource allocation during design of emergency lighting.

The invention discloses a space fire behavior prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining structure information of a target building; acquiring position information of sensing equipment in the target building; building modeling is carried out based on the structure information, and a first space model of the target building is obtained; performing equipment dotting on the first space model according to the position information to obtain a second space model; acquiring operation data of all sensing equipment in the target building, and determining a fire behavior condition based on the operation data; the fire behavior condition comprises a smoke coverage position, an ignition position and a safe position; and the fire behavior condition is applied to the second space model through digital twinning, and visual 3D fire behavior information of the target building is obtained. According to the invention, the fire emergency response speed can be improved, the visualization effect of the fire scene is enhanced, the intelligent level of fire emergency management is improved, the safety of personnel evacuation is enhanced, and the system can be widely applied to the technical field of data processing.

The application belongs to the technical field of computer simulation, and in particular relates to a navigation sign layout optimization method and system based on graph optimization, wherein the method comprises the following steps: using an RVO model to construct a shopping mall evacuation scene information and a dynamic navigation sign, and randomly generating pedestrians in the scene; initially, the pedestrians in the room move towards the nearest room exit, and the pedestrians not in the room move towards the nearest exit; if the pedestrian encounters a navigation sign, a Floyd algorithm based on a graph is used to solve the shortest path and inform the pedestrian; thereafter, a method based on balanced congestion is used to optimize the dynamic navigation sign structure, the position where congestion occurs is observed, the reason for the congestion is analyzed, a navigation sign is added, and the congestion is balanced; an optimization method based on a social network search algorithm is used to optimize the weight of the navigation sign on the key path in front of the exit, so that the utilization time difference of the three exits is less than gamma, the best navigation sign weight is obtained, and the evacuation efficiency is maximized.

The present invention discloses a low-power real-time auxiliary first aid method and system for fire based on edge computing, which relates to the field of auxiliary first aid technology for fire, and is applicable to crowded areas of public buildings such as schools, hospitals, high-rise buildings, hotels, and shopping malls. The present invention uses multi-sensor data fusion to collect environmental information such as population density, temperature, and smoke concentration in real time, and uses edge computing units for fire detection and dynamic evacuation path planning. The intelligent terminal adjusts the brightness and color based on the dynamic path, and uses sound reminders to achieve clear audio-visual guidance. In the event of a power outage due to a fire, the lighting strategy of each area is dynamically adjusted through optimized lighting strategies to reduce energy consumption, effectively extend the use time of the backup power supply, and effectively ensure the safety and efficiency of personnel evacuation.

The present application discloses a traffic congestion control method, system, electronic device and storage medium, which relates to the field of traffic control technology. The method includes: when receiving a traffic congestion event reported by an image acquisition device on a traffic road, querying the last traffic congestion state of the traffic road according to the time period to which the traffic congestion event belongs; when the last traffic congestion state is traffic congestion, if it is determined that the green light duration of the traffic light of the traffic road is less than or equal to the preset duration, and the number of adjustments of the traffic light is less than or equal to the preset number, then determining the green light extension duration of the traffic light, and adjusting the green light duration of the traffic light according to the green light extension duration, so as to realize intelligent control of the traffic light and improve the traffic congestion phenomenon.

The invention belongs to the technical field of escape appliances in public places, and provides an intelligent lifesaving wheelchair and an evacuation method, and the wheelchair comprises a wheelchair main body, an audible and visual alarm device, a voice broadcast module, a gravity sensing module, a global search module, a path planning module, an automatic obstacle avoidance module, a speed control module and a wireless transmission module. The wheelchair can normally meet the moving requirements of vulnerable groups in daily conditions; when a danger occurs, whether the wheelchair takes a vulnerable individual or not can be judged, and if yes, the wheelchair directly and automatically carries people to quickly escape; if not, vulnerable individuals are searched and recognized firstly, and rapid escape is started after the vulnerable individuals are found and carried. The evacuation efficiency and success rate of vulnerable groups after accidents occur in public places can be improved.

The application discloses a sea retractable floating drilling platform and a drilling ship, and relates to the technical field of drilling platform engineering, which comprises a sliding device arranged on a ship body; a sliding platform slidably arranged on the sliding device and used for mounting drilling equipment, wherein the sliding platform can slide on the sliding device along the transverse direction of the ship body to one end of the ship body, and the one end of the sliding platform extending out of the ship body is provided with a reserved opening used for lowering a drill rod; and a driving device used for driving the sliding platform to slide on the sliding device along the transverse direction of the ship body and making the reserved opening extend out of the ship body. When an emergency occurs and rapid evacuation is needed, the drill rod is disconnected, part of the drill rod is left in place, the sliding platform is retracted to the ship body through the sliding device, and the drill rod left in place is separated from the area of the sliding platform from the reserved opening, so that the rapid evacuation is completed, the evacuation efficiency is high, the safety performance is good, and the problems of low evacuation efficiency and possible safety accidents in the prior art are solved.

The invention provides an evacuation indication system and method for subway carriages. The system comprises a fire monitoring module, a crowd density monitoring module, a train central control module and a multi-information combined intelligent evacuation indication module. The fire monitoring module is used for monitoring fire data in each subway carriage and generating a danger warning signal according to the fire data; the crowd density monitoring module is used for monitoring crowd density data in each subway carriage; the train central control module is used for planning an evacuation strategy of each subway carriage according to the danger warning signal and the crowd density data; and the multi-information combined intelligent evacuation indication module is used for transmitting the evacuation strategy of each subway carriage to passengers by using multiple information transmission modes. Thus, real-time evacuation path guidance can be provided for passengers, the passengers are effectively prevented from entering dangerous areas where fire smoke spreads by mistake and crowding subway carriages, and therefore evacuation efficiency and evacuation safety are improved.

This utility model provides a tunnel route and pipeline layout structure, belonging to the field of tunnel engineering. It includes: a ventilation duct assembly, which is supported by structural members and installed on the inner wall of the tunnel's secondary lining; a water pipe assembly, also supported by structural members and installed on the inner wall of the tunnel's secondary lining, located on the same side of the secondary lining as the ventilation duct assembly; a route assembly, also supported by structural members and installed on the inner wall of the tunnel's secondary lining; and an escape pipeline, located on the invert infill surface within the tunnel. The purpose is to address the problems of low stability and safety hazards in existing tunnel route and pipeline layout structures. The achieved technical effect is to realize a more stable tunnel route and pipeline layout structure while ensuring safety.

The invention relates to a safety communication method, equipment and medium for an automatic train control system, the method realizes effective control of SIL2 equipment on SIL4 equipment through a safety communication protocol, the SIL2 equipment is an automatic train monitoring system (ATS), the SIL4 equipment is a vehicle-mounted controller (VOBC), the ATS issues a safety command to the VOBC through the safety communication protocol, and the SIL4 equipment is a vehicle-mounted controller (VOBC). And the dispatching terminal remotely operates the unmanned train to carry out danger avoiding action. Compared with the prior art, a more reliable safe operation mechanism is provided for the unmanned train, the overall efficiency and safety of train operation are greatly improved, and meanwhile the riding experience of passengers is improved.

The application discloses an emergency rescue resource scheduling dynamic programming method for post-disaster wounded evacuation, and particularly relates to the technical field of emergency rescue, which is based on a preset disaster area rescue environment, and introduces a deprivation cost to divide a wounded evacuation and rescue process into multiple stages to calculate the deprivation cost of each stage, including the deprivation cost of seriously wounded, the total deprivation cost of each wounded, and the total deprivation cost of all wounded, by setting a tent and service constraint, maintaining wounded flow and conservation, ambulance scheduling constraint, un-treated wounded and hospital treatment, and setting a decision variable type; and obtains a target function, that is, minimizes the total cost of the whole emergency rescue, by combining the total deprivation cost of all wounded with the moving cost of a medical rescue tent, the transportation cost of an ambulance, and the punishment cost of un-treated wounded.

The present invention discloses a passenger evacuation method for a comprehensive passenger transportation hub based on passenger flow data and reinforcement learning, including: collecting real-time status data of a certain station and performing data preprocessing; describing the passenger evacuation problem of the comprehensive passenger transportation hub as a Markov game process; including defining a global state space, defining a local state space, defining an action space and setting a reward function; constructing a passenger evacuation model for a transportation hub, wherein the passenger evacuation model for the transportation hub is composed of an Actor network and a Critic network; introducing an asynchronous action coordination mechanism into the passenger evacuation model for the transportation hub and obtaining a stable passenger evacuation model for the transportation hub through training; and realizing passenger evacuation for station A based on the stable passenger evacuation model for the transportation hub. The method of the present invention has the characteristics of flexibility and intelligence, can effectively cope with the challenges during peak passenger flow periods, and improve the operation efficiency of transportation hubs and the travel experience of passengers.