502 results about "Emergency evacuation" patented technology

The invention discloses an intelligent emergency and management and control method for a stadium, and belongs to the technical field of stadium safety management and control. According to the method, video stream data are collected through a monitoring camera array, and coverage areas of all cameras in the array have 15%-20% of overlapping areas; inputting the data into a pre-trained people density identification model to generate a real-time people flow distribution thermodynamic diagram; the retention index of each partition is calculated, and an emergency evacuation mode is activated in combination with a preset safety threshold value; in the emergency mode, the infrared sensor group monitors the instantaneous pedestrian flow speed, and an optimal evacuation path is generated by a dynamic path planning algorithm; the path is converted into a control instruction to drive an electromagnetic access control gate, emergency lighting and an electronic guide identifier, feedback data triggers a path re-calculation mechanism, and a two-dimensional code scanning device counts the number of evacuated people so as to start manual re-checking. Real-time situation awareness, dynamic risk assessment and intelligent evacuation guidance of the stadium are achieved, emergency response and evacuation efficiency is effectively improved, and crowd safety is guaranteed.

The invention belongs to the technical field of smart tourism management, and relates to an AI-based smart tourism recommendation method and system, and the method comprises the steps: obtaining instantaneous aggregation density data collected by a plurality of hidden monitoring nodes in a scenic spot in real time; generating a dynamic environment grade set according to the instantaneous aggregation density data, the real-time weather elements and the traffic control information; generating a user physical exhaustion level, and generating an interest preference label through an electronic map zooming operation track; identifying space-time synchronization features between the associated mobile terminals to generate a group type identifier, and binding the group type identifier with a strategy recommendation template; performing peak shifting recommendation sorting in combination with the dynamic environment level to form an initial recommendation scheme set; and comparing the matching degree between the initial recommendation scheme and the interest preference label, triggering the secondary optimization of the recommendation content based on the group type identifier when the matching degree is lower than a set range, and injecting an emergency risk avoiding path to complete a closed-loop recommendation decision chain. The problem that in the prior art, due to the fact that the data collection dimension is single, recommendation strategies lack group adaptability is solved.

The present invention discloses a city planning simulation system based on real-scene three-dimensional (3D) and relates to the technical field of city planning. The system comprises the following components: a data acquisition module, a real-scene three-dimensional (3D) and disaster simulation module, a comprehensive planning module and a comprehensive evaluation module. The present invention plans the optimal emergency evacuation route by utilizing a path planning algorithm and taking into account the area affected by the damaged infrastructure and the recovery time of the infrastructure, thereby not only ensuring the safety and feasibility of the evacuation route but also greatly improving the evacuation efficiency. At the same time, according to the emergency evacuation route planning results and the infrastructure resilience evaluation results, the type and layout of the rescue facilities are determined, the service scope and coverage of the rescue facilities are analyzed by a geographic information system, the layout of the rescue facilities is optimized, and it is ensured that the rescue resources can efficiently and accurately reach the disaster-stricken area.

The invention discloses a building pedestrian simulation statistics and analysis method, and belongs to the technical field of simulation. According to the invention, a comprehensive pedestrian behavior evaluation and optimization scheme is provided through normal pedestrian circulation simulation and emergency evacuation simulation in combination with statistical analysis, data visualization and an optimization algorithm. The system manages pedestrian density through a KD tree, performs real-time data visualization by using ScottPlot, generates one-dimensional, two-dimensional and three-dimensional charts, and visually displays pedestrian distribution and flow conditions in a building. In an emergency evacuation scene, the system dynamically plans a path through a # imgabs0 # algorithm, and identifies and relieves a potential bottleneck area in combination with a heuristic function of congestion measurement. The simulation system can collect abundant statistical data including evacuation time, people flow distribution, congestion point analysis and the like, and provides a scientific basis for building safety design improvement and emergency plan making.

The invention discloses a real-time and efficient basin flood inundation simulation method and system, and relates to the technical field of flood simulation. Multi-source data such as hydrology, remote sensing, weather and terrain are collected in real time, and cleaning, interpolation processing and format standardization are carried out; a data fusion technology and a dynamic weight distribution algorithm are utilized, the system integrates multi-source data to generate a high-precision data set, and the weight of each data source is dynamically adjusted according to the real-time performance, the precision and the space coverage degree of the data; factors such as gradient, elevation and land utilization types are considered, correlation coefficients are quantified, the inundation range and water depth distribution in the drainage basin are estimated, and visual display and early warning release are carried out through the GIS technology. In addition, the system assists in decision making, submerging risk index calculation, emergency evacuation path planning and resource scheduling scheme generation; the real-time performance and accuracy of flood simulation are effectively improved, the flood early warning and emergency response capabilities are enhanced, and powerful support is provided for decision makers.

The invention discloses a flood detention area emergency evacuation early warning method based on environmental perception and intelligent analysis, and relates to the technical field of flood control and disaster mitigation, and the method comprises the steps: collecting the original data of a flood detention area site, and forming a monitoring array; a monitoring array is divided into a plurality of monitoring units according to geographic grids, a rainfall permeation model is established according to rainfall data and soil humidity data, a surface runoff field is constructed in combination with terrain elevation data, and the confluence direction of the runoff field is calibrated through water level data; based on a rainfall penetration model and a surface runoff field, generating a flood detention area inundation evolution sequence, segmenting into an inundation grade map according to a time step length, planning a flood detention area emergency evacuation path, matching with a road network in a geographic information system, generating an optimal evacuation path, and issuing graded early warning information to an early warning area. And sending a withdrawal instruction to residents in the flood detention area through the emergency broadcasting system. According to the invention, by establishing a partition early warning mechanism and a differential early warning strategy, accurate delivery and efficient transmission of early warning information are realized.

The invention belongs to the technical field of fire-fighting supervision, and particularly relates to an intelligent fire-fighting alarm system and method based on regionalized monitoring, and the system comprises a regionalized monitoring network module, an intelligent data analysis module, an early warning information issuing module, an emergency evacuation plan module, a fire-fighting facility linkage module, and a regional fire-fighting supervision terminal. Environmental parameters in a target area are comprehensively collected in real time through the regionalized monitoring network module, the intelligent data analysis module identifies a fire disaster based on the collected data, quick response and emergency evacuation are performed after the fire disaster is identified, loss caused by the fire disaster is effectively reduced, and the safety of the fire disaster is improved. After fire early warning is removed, fire hazards are accurately analyzed and fed back in time, regional fire control management personnel can master the severity degree of each fire in detail, and regional fire control safety supervision is enhanced in time by comprehensively evaluating and analyzing the regional fire control potential safety hazard degree; the regional fire-fighting hidden danger is obviously reduced; and the regional fire-fighting management difficulty is reduced.

The invention relates to an emergency evacuation path generation method and system based on STDE, and the method comprises the following steps: extracting a topological network structure of a target building, and collecting smoke detection data and crowd density; building a building topology layer; obtaining a room grid layer according to the building topology layer; constructing a smoke risk value; constructing a congestion risk value; performing dynamic risk fusion on the smoke risk value and the congestion risk value to obtain a total risk; constructing a cost function from each node to an edge of an adjacent node in the building topology layer, and obtaining an optimal path of the building topology layer through a space-time joint reverse search algorithm; performing path planning on each room in the optimal path of the building topology layer in the corresponding room grid layer to obtain the optimal path of the room grid layer; and integrating the optimal paths of the building topology layer and the room grid layer to obtain a final emergency evacuation path. Compared with the prior art, the accuracy of evacuation risk assessment is improved, and different evacuation strategy requirements can be met.

The invention discloses a fire emergency evacuation indication method applied to a large indoor scene and a related device, relates to the field of artificial intelligence, and obtains a personnel evacuation network flow model, a density matrix, a speed matrix and an evacuation time consumption matrix. And inputting the parameters into a pre-constructed evacuation path prediction model, and obtaining first escape paths corresponding to all nodes through the evacuation path prediction model. The personnel can escape based on the first escape path; as time goes by, fire detailed information of nodes where people do not pass through in the first escape path may change, the first escape path is not the most suitable escape path, at the moment, updated parameters need to be obtained and input into an evacuation path prediction model, and a second escape path is obtained through the evacuation path prediction model; in this way, people can escape through the second escape path.

The invention relates to a subway station pedestrian emergency evacuation system and method based on identification guidance, in particular to a dynamic identification guidance system optimized in combination with Legon simulation software. According to the system, a dynamic identification device is deployed in a subway station, Legon simulation software is combined to simulate and analyze people flow in the station in real time, and an optimal evacuation path is provided. In an emergency, the system dynamically adjusts the guiding direction of the evacuation identification by using simulation data and environment monitoring information. Legion simulation software can accurately simulate driving behaviors of passengers in different environments and under different congestion conditions, so that the accuracy of an evacuation scheme is improved. Through a simulation test, the system can significantly reduce the evacuation time, improve the evacuation speed, optimize the distribution of personnel in the station, reduce the residence time in a high-density area, and ensure the safe evacuation of passengers in an emergency.

The invention discloses a building dynamic evacuation road network generation method and system based on a BIM model, and the method comprises the steps: obtaining spatial layout data and multilayer connection information from a building BIM model, and constructing an initial road network frame; generating corrected road network data according to the initial road network framework and the traffic restriction information; according to the corrected road network data and safety specification requirements, an evacuation route meeting the standard is calculated, and a preliminary evacuation road network is generated; acquiring real-time data of a sensor in the building, judging the influence of dynamic change on the preliminary evacuation road network, and updating impassable area information; and according to the updated impassable area information, recalculating an evacuation route, adjusting the preliminary evacuation road network, and generating an optimized evacuation road network. Therefore, according to the building dynamic evacuation road network generation method based on the BIM model, the efficiency and accuracy of building emergency evacuation are improved.

The invention discloses a booster station barrier-free channel digital twinborn evacuation early warning method. The problem of path planning misalignment caused by insufficient multi-source sensing data fusion is effectively solved. Through spatial data integration of the digital twin model, the available state of the barrier-free facility and the disaster influence range can be accurately identified. A dynamic path planning algorithm continuously optimizes an evacuation route in the disaster evolution process, and people are prevented from entering an affected dangerous area. The multi-modal instruction generation mechanism ensures that people with different physiological characteristics can obtain adaptive evacuation guidance, the retention risk caused by a single information transmission mode is reduced, the response speed and reliability of the emergency evacuation system are further improved through the real-time state monitoring and path updating functions, the geometric dimension and space coordinates of facilities are accurately collected, and the emergency evacuation system is more accurate in real-time state monitoring and path updating. The consistency of a virtual model and an actual environment is ensured, and data support is provided for facility availability evaluation in a disaster environment by configuring material characteristics and accessibility parameters.

The invention relates to the technical field of path planning, in particular to a multi-agent dynamic nuclear emergency evacuation path planning method and system based on deep reinforcement learning. In particular to a multi-agent optimization path generation and dynamic adjustment method based on a deep reinforcement learning technology, and aims to improve the real-time performance, the safety and the execution efficiency of a public evacuation path in an emergency nuclear event. According to the scheme, the optimal evacuation path is automatically explored through deep reinforcement learning, a path model does not need to be manually preset, complex factors such as pollution dynamic diffusion and traffic jam under the nuclear accident scene can be dealt with, and the efficiency and safety of emergency evacuation path planning are greatly improved. The system is suitable for public emergency response systems in high-risk environments such as nuclear accidents, earthquakes, fire disasters and urban explosions.

The invention provides an air curtain and smoke exhaust linkage system and method in a tunnel fire based on PID control, the system comprises an air curtain air supply system, a mechanical smoke exhaust system, a detection device and a PID linkage control unit, and the PID linkage control unit is electrically connected with the air curtain air supply system, the mechanical smoke exhaust linkage control system and the detection device; the air curtain air supply system and the mechanical smoke exhaust systems are arranged at the top of the tunnel at intervals in the length direction of the tunnel, the mechanical smoke exhaust systems are distributed on the two sides of the air curtain air supply system, the detection device comprises space temperature detection devices, and the space temperature detection devices are arranged on the two sides of the air curtain air supply system; the PID linkage control unit controls the air supply speed of the air curtain air supply system and the air exhaust speed of the mechanical smoke exhaust linkage control system in a linkage mode at the same time according to a detection signal of the space temperature detection device. The environment temperature and the smoke concentration can be effectively controlled, personnel safety can be guaranteed, and personnel emergency evacuation is facilitated.

The invention provides a building interior design layout optimization method, and relates to the technical field of indoor modeling and layout optimization, and the method comprises the steps: obtaining building structure boundary data and current situation layout information, constructing an indoor three-dimensional space model, and completing the marking of node passing attributes and a spatial topological structure. On the basis, crowd behavior data of a daily scene and an emergency scene are collected, behavior characteristics such as walking speed, obstacle avoidance response and congestion sensitivity are extracted, and a walking characteristic model used for simulating the individual motion trend is established. And performing multi-scene simulation under a daily event and an emergency evacuation event by using the walking feature model, calculating performance indexes such as passing time, local congestion degree, key node congestion probability and total evacuation time, and identifying a congestion sensitive area. And further constructing a multi-target evaluation model including traffic efficiency, congestion degree and evacuation performance, and performing global optimization on layout adjustable parameters by adopting an algorithm to obtain a candidate layout scheme set.

The invention is suitable for the technical field of mountain fire disaster monitoring and early warning, and provides a power distribution network mountain fire disaster state monitoring and early warning system, which comprises a multi-source data processing module, a space-time coupling monitoring module, an intelligent response module and a remote management platform, the multi-source data processing module is used for integrating and processing satellite remote sensing data, meteorological data, topographic data and power distribution network topology data; the space-time coupling monitoring module is connected with the multi-source data processing module and is used for dynamically analyzing the space-time characteristics of the fire behavior; the intelligent response module is connected with the space-time coupling monitoring module and is used for executing hierarchical prevention and control operation according to a fire behavior space-time characteristic analysis result; the remote management platform is connected with the space-time coupling monitoring module and the intelligent response module and used for outputting a forest fire disaster early warning scheme according to the fire behavior space-time characteristic analysis result and the graded prevention and control operation process, the emergency evacuation efficiency can be improved, and power grid facility damage and economic loss caused by fire behavior diffusion are reduced.

The invention relates to the field of industrial safety monitoring, provides a real-time risk identification and active safety control method and system for industrial operating personnel in order to improve the accuracy and efficiency of a safety monitoring technology, and realizes real-time acquisition and edge preprocessing of human-machine-environment data by integrating a physiological / environmental / equipment multi-mode sensor. An FPN network is utilized to fuse spatial-temporal characteristics, Temporal-PC causal inference and a GBDT integration algorithm are combined, an interpretable risk propagation model is constructed, risk indexes are calculated, three-level early warning is divided, and hierarchical intervention is executed for different risk levels, including local early warning, environment regulation and control, emergency evacuation and multi-department emergency linkage. Through LSTM trend prediction and reinforcement learning dynamic parameter adjustment, closed-loop optimization of an intervention strategy is realized, the problems of information splitting, response lag and the like of a traditional monitoring system are solved, the risk identification precision and emergency disposal efficiency of a chemical high-risk scene are remarkably improved, and the method is suitable for operation safety control in high-temperature, high-pressure, toxic and harmful environments.

The invention discloses a personnel emergency evacuation method and system based on an improved vector vector diagram, and belongs to the technical field of emergency simulation, and the method comprises the steps: carrying out the initialization of an evacuation environment, including the initialization of static environment space elements and the initialization of evacuation crowd individual positions; establishing a visual field containing a plurality of sensing points according to individual positions and speed directions of the evacuated crowd; and for each individual in the evacuated crowd, individual movement is carried out based on the established visual field and through continuous perception of the static environment and interaction among the individuals in the crowd, and crowd evacuation is completed. According to the method and the system, the information exchange among the groups and the perception-feedback process of the crowd to the environment are fully considered in the evacuation simulation process, and the authenticity of the simulation process is improved.

The invention discloses a large-scale people flow evacuation simulation method considering congestion state real-time decision, and belongs to the technical field of crowd emergency evacuation, and the method comprises the steps: S1, obtaining to-be-evacuated crowds, protection places and road network data in a region; s2, constructing a road passing time calculation model; s3, constructing a protection place full-load early warning model; s4, constructing a shortest time flow model considering a congestion state real-time decision; s5, obtaining a crowd evacuation movement process by utilizing crowd simulation, and performing visual presentation; the method is high in simulation efficiency and good in precision, and has good accuracy and practicability for crowd evacuation simulation.

The invention discloses a nuclear accident emergency three-layer coupling network model and a construction method, and relates to the crossing field of nuclear accident emergency management and complex system risk simulation. The nuclear accident emergency three-layer coupling network model comprises an RMN layer which is used for simulating the dynamic diffusion process of radionuclides leaked by a nuclear accident in the atmosphere; the IN layer is used for constructing a spatial distribution and dependency relationship network of infrastructures; the EN layer is used for topologically defining a command or cooperation relationship of the emergency organization; according to the three-layer network coupling mechanism, when RDR of a middle grid is larger than or equal to RDRmax-1, IN-layer nodes in the middle grid at the same position are marked to be in a damaged state; and quantifying the bidirectional dependence density of the IN layer and the EN layer through the coupling strength epsilon. The method is used for predicting the direct risk of radioactive contamination in a nuclear accident and the secondary risk caused by emergency evacuation, revealing the risk evolution law, quantifying the risk diffusion scale, determining key influence factors, and providing a theoretical basis for formulating an emergency strategy.

The invention relates to a subway emergency evacuation identification system utility test and evaluation method, in particular to a simulation experiment evaluation method based on BIM (Building Information Model), Unity (game engine) and VR (Virtual Reality) technologies. According to the method, firstly, a subway emergency evacuation identification system experiment test platform integrating BIM, Unity and VR technologies is constructed; the platform can simulate the performance of the subway emergency evacuation identification system in a fire emergency event, and assesses different emergency evacuation identification systems. Further, according to the method, volunteers are recruited for experimental testing, and evacuation behavior parameters and visual gazing parameters of passengers are collected and analyzed. Finally, an all-dimensional and multi-dimensional index system is constructed, and the effectiveness of the emergency evacuation identification system is comprehensively evaluated by adopting a coupling coordination degree model, so that the safety, reliability and high efficiency of the emergency evacuation identification system in an emergency are ensured.

The present invention relates to the technical field of intelligent evacuation. Provided are a method and system for intelligently generating an emergency evacuation scheme. The method comprises: performing geographic information scene creation and data association on the basis of a park plane map, so as to obtain a digital visual map; sensing and marking the type, occurrence location, severity degree and influence range of an incident in real time, and performing initial information configuration on an evacuation scheme; determining an evacuation mode; automatically and manually creating or modifying evacuation routes, automatically merging the generated evacuation routes, and automatically supplementing unselected evacuation routes, so as to obtain an optimal evacuation path; and automatically generating key information of the evacuation scheme, so as to obtain an emergency evacuation scheme. The present invention reduces the evacuation design command difficulty of a complex incident site, improves and ensures the feasibility of all evacuation schemes, eliminates the misoperation possibly caused by human factors in the case of a large number of manual plans, and ensures the correctness of an evacuation indication direction, thereby making intelligent evacuation more reliable and safe.

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 provides a sliding door structure with an emergency exit and an emergency throwing method thereof.In the structure, an upper sliding rail, a middle sliding rail and a lower sliding rail are fixed to a machine body structure, a sliding door slides in the upper sliding rail, the middle sliding rail and the lower sliding rail through a pulley and a swing arm, and the sliding door is provided with an emergency exit channel above the waterline position; the ball socket support, the first lock seat, the second lock seat and the sliding block are installed on the periphery of an emergency exit channel on the sliding door. The bulb hinge, the bolt throwing mechanism, the handle, the transparent protective cover plate and the interior trim panel are mounted on the emergency door; the emergency door is respectively matched with the ball socket support, the first lock seat and the second lock seat through the ball head hinge and the bolt throwing mechanism and is fixed on the sliding door; the handle is connected with the bolt throwing mechanism and is used for operating the throwing emergency door; the overland and overwater emergency evacuation requirements can be met at the same time.

The invention relates to the technical field of building safety detection, and discloses a building element comprehensive information application method and system.The building element comprehensive information application method comprises the steps that building information collection is conducted on a target building to construct a building information model, building element data collection is conducted according to preset building elements to form an element building model; real-time monitoring is carried out through a sensor group and AR equipment to obtain real-time monitoring data, the real-time monitoring data are substituted into an element building model to analyze element actual characteristics and safety characteristics of a building, and the safety condition of the building is evaluated by carrying out fire detection and positioning, fire fighting access occupation and blockage detection, emergency exit recognition, emergency evacuation sign recognition and the like on the building. By collecting the building information and the building element data and combining the real-time monitoring information, the real-time condition of each part of the building is accurately described so as to detect potential safety hazards, the building disaster response capability and the management efficiency are improved, and the problem that in the prior art, potential safety hazards are likely to be missed due to manual building safety inspection is solved.

The invention relates to the technical field of chemical plant area intelligent evacuation, and discloses an emergency evacuation place intelligent management system and method, and the method comprises the steps: constructing a chemical risk semantic unified representation space through a risk semantic mapping algorithm, and generating a mapping relation between a risk state and semantic expression; applying a feature portrait algorithm to generate an employee feature representation model; on the basis of the chemical risk semantic personalized adaptation model, personalized semantic guidance for employees with different characteristics is generated; generating a multilevel chemical risk semantic model by using a regional hierarchical clustering algorithm; processing real-time position and risk change data through a collective intelligent optimization algorithm, and calculating a dynamic evacuation path planning scheme; differentiated safety management based on employee characteristics, hazard source distribution and semantic understanding is realized, the problem of low efficiency caused by one-step instructions in traditional evacuation management is solved, and the emergency evacuation efficiency and safety of the chemical plant area are improved.

According to the intelligent real-time generation method for the building crowd evacuation emergency route diagram, firstly, building space personnel self-adaptive evacuation space-time trajectory modeling is carried out through a building emergency evacuation model space-time trajectory modeling method, then, the evacuation trajectory is calculated and analyzed through a clustering method based on space-time similarity and structural similarity, and the emergency route diagram is generated in real time. And clustering evacuation tracks according to a method of fusing the evacuation tracks and the evacuation tracks, designing and organizing an emergency route diagram after fine tuning based on the clustered tracks, constructing an evacuation simulation streamline diagram, and calculating real tracks of personnel in the system. The designed evacuation simulation streamline diagrams reflect the real tracks of the personnel in the simulation system. Therefore, the management and control of the evacuated people stream are guided, the evacuated people stream is effectively controlled and induced, the crowded people stream during emergencies is avoided and relieved, the maximization of the evacuation efficiency is realized, and the economic loss and casualties are effectively reduced.

The invention relates to an emergency evacuation path generation method, system and device under multi-target conflict and a medium. The method comprises the following steps: acquiring video monitoring data and environment sensing data of a target building, and performing fire disaster detection according to the video monitoring data to obtain a fire detection result; in response to the fire detection result that the fire disaster exists, performing fire evolution prediction according to the environment sensing data based on the environment topological graph of the target building to obtain fire evolution parameters; performing risk assessment and latest passable time marking on each space unit node in the environment topological graph according to the fire evolution parameters to obtain a risk graph layer; and in response to the obtained positions of the to-be-evacuated persons, generating an exclusive emergency evacuation path of each to-be-evacuated person in combination with the environment topological graph and the risk map layer. According to the method, fire detection and fire spreading deduction are carried out through continuous video image frames, time sequence judgment is carried out on traffic effectiveness, and path design is prevented from lagging behind risk change.

The present invention relates to a multi-ship anchoring scheduling path planning method based on an improved RRT algorithm, comprising the following steps: S1, constructing a multi-ship anchoring scheduling destination selection mechanism; S2, constructing a multi-ship anchoring scheduling evaluation index selection mechanism; S3, calculating the ship scheduling priority according to the multi-ship anchoring scheduling evaluation index; S4, constructing a multi-ship anchoring scheduling collision avoidance decision-making mechanism; S5, calculating the multi-ship anchoring scheduling path planning result. The present invention can be used to deal with the situation where multiple ships need anchoring scheduling at the same time, optimize their berthing sequence and navigation path, thereby minimizing the ship anchoring scheduling waiting time, reducing the navigation distance of all scheduled ships as much as possible, and improving the berth utilization rate; it has important significance in multi-ship scheduling in complex waters, emergency evacuation of ships, and comprehensive management of water transportation hubs.

The invention relates to the field of public safety, in particular to a building emergency evacuation behavior selection research method based on emotion infection. According to the method, emotional infection intensity data is obtained through a questionnaire, a hybrid selection model (HCM) considering emotional infection is constructed, and a P-SIR model combining an OCEAN model and an SIR infectious disease model is introduced to simulate the emotional infection process. Anylogic simulation software is used for carrying out a simulation experiment on path selection of evacuated people, and the influence of psychological latent variables such as emotional infection on emergency evacuation path selection is explored. According to the method, the problems that in existing research, an emotion infection model is not considered carefully, and psychological factors in a mixed selection model are not considered comprehensively are solved, the accuracy and practicability of an emergency evacuation model are improved, and theoretical support and basis are provided for an emergency management department to formulate an effective library emergency evacuation management strategy and building design specifications.