424 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 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 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 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 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 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 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 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 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.

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 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.

The invention relates to the technical field of mine monitoring, and provides an intelligent mine safety monitoring system and method, and the system comprises a path network modeling device, a multi-source risk monitoring device, a personnel positioning and tracking device, a dynamic path updating device, and an intelligent evacuation guiding device. When any path risk level exceeds a preset safety threshold value, triggering an emergency evacuation instruction: calculating and generating a personalized optimal evacuation path for each person based on the currently updated three-dimensional topology model and the person position information; outputting evacuation information; the evacuation information comprises an emergency evacuation alarm of a whole mine broadcast level; and a real-time dynamic pointing instruction facing each node, the pointing instruction being generated according to the personalized optimal evacuation path and being presented through a physical indication device deployed at the node or a terminal device carried by a person. According to the technical scheme disclosed by the invention, workers in the mine can be timely guided to be evacuated.

The invention discloses an evacuation path dynamic planning method and system based on an HPSO-IGWO algorithm, and relates to the technical field of fire safety and emergency evacuation. The system mainly comprises a fire information acquisition module, a data processing coordination module, a path planning module and an evacuation indication module. The fire information acquisition module acquires information such as the position, smoke concentration and temperature of a fire through a sensor, and transmits the acquired data to the data processing coordination module; the data processing coordination module sends the data to the path planning module, so that the evacuation path is planned and optimized by using an HPSO-IGWO algorithm, the path is dynamically adjusted according to the real-time condition of the fire, and the safety and optimality of the evacuation path are ensured; and finally, the path planning module sends the planned evacuation path information to each LED evacuation indicator through the wireless sensor network, and the indicators display the evacuation direction in real time according to the information sent by the server to guide people to evacuate along the planned path.

The invention discloses an urban fire emergency evacuation path planning method based on deep reinforcement learning. The method comprises the following steps: S1, constructing a dynamic environment map; s2, constructing an evacuation agent strategy network; s3, introducing an improved hunting optimization algorithm into the evacuation agent strategy network, and avoiding local optimum through a path jump mechanism; s4, configuring a reconnaissance module for each hunting body by an improved hunting optimization algorithm, predicting path risks and generating future risk scores; s5, fusing a current path evaluation result with a future risk score, and dynamically correcting path selection; s6, optimizing the evacuation agent strategy network through a centralized training and distributed execution mechanism, and generating an optimal evacuation path instruction; and S7, receiving dynamic environment map data in real time through an edge computing terminal, outputting an optimal evacuation path instruction, and supporting path rollback and re-planning. According to the method, deep reinforcement learning and an intelligent optimization algorithm are fused, and intelligent planning of an urban fire evacuation path is realized.

The invention provides a method and a device for determining urban plot evacuation identification information, which can be applied to the technical field of artificial intelligence and emergency evacuation. The method comprises the steps that an identification agent obtains an action of layout evacuation identification based on land parcel information and initial evacuation parameters; executing an action in the environment, and determining a layout result of the evacuation identifier and an evacuation state result; the initial strategy network obtains a sample action, a layout result of a sample evacuation identifier, a sample evacuation state result and a sample distribution parameter based on the sample plot information and the sample initial evacuation parameter; the initial value network evaluates a sample action based on an evaluation strategy, a layout result of a sample evacuation identifier and a sample evacuation state result to obtain an evaluation result; and based on the evaluation result, the sample distribution parameter and the loss function, updating respective initial parameters of the initial policy network and the initial value network to obtain an identified agent. Through the method, dependence on a mathematical model and an algorithm can be reduced, and consumption of computing resources is reduced.

The present application belongs to the field of rail vehicle technology; provide a kind of rail vehicle emergency evacuation device's working circuit and control method, power supply unit in working circuit provides direct current voltage to vehicle zero speed response unit;Vehicle zero speed response unit responds to vehicle zero speed signal, and outputs direct current voltage to skirt interaction unit and folding ladder extension interaction unit;Skirt interaction unit and folding ladder extension interaction unit output voltage to door enable response unit, door enable response unit combines door enable signal input switch gating one side or two sides, and output voltage signal is given to drive response unit, drive the cylinder solenoid valve work.The control method of emergency evacuation device of the present application is suitable for the working circuit of emergency evacuation device of the present application.The present application provides vehicle zero speed response unit and door enable response unit, and control signal is provided to the driver side, can realize man-machine interaction, ensure that equipment is opened in correct side, guarantee the safety of vehicle, track and driver.

The invention discloses an emergency pointing method and system based on door lock cooperation, and the method comprises the steps: enabling each door lock to receive and analyze an emergency pointing preparation message according to evacuation path configuration information issued by a management platform, completing the joining of a multicast group, and feeding back a ready state; starting an emergency pointing process according to an emergency pointing starting message issued by the management platform; according to the received alarm synchronization message, the door locks sequentially relay to give alarms according to the evacuation path sequence, and automatic skipping of the fault door lock is achieved through an interception mechanism; and according to a termination instruction issued by the management platform, all the door locks stop alarming and exit the multicast group. By utilizing the embodiment of the invention, the visual indication limitation of the emergency evacuation lamp can be supplemented, the emergency evacuation lamp is adaptive to groups with limited visual ability, the continuity of emergency indication is ensured, and the evacuation efficiency and safety in emergencies in complex places are improved.

The invention relates to the technical field of public safety personnel evacuation, discloses a public emergency emotional infection simulation method, and aims to solve the problems that an existing emotional infection simulation model does not fully consider a group emotional propagation theoretical mechanism and the influence of personality characteristics of an intelligent agent and is insufficient in simulation precision and authenticity. The method is based on an improved SIRS (Susceptable-Infected-Recovery-Susceptable) model and an OCEAN large five-personality model, and is realized through the following six core steps: 1) constructing a three-dimensional simulation model of a public place; 2) initializing personality characteristics, emotional states and behavior states of the agents; 3) calculating an emotion propagation process (including a propagation range, an influence value, a distance weight and emotion conflict processing) between the intelligent agents; the method comprises the steps of (1) acquiring the emotion of the intelligent agent, (2) calculating the emotion attenuation of the intelligent agent, (3) determining the evacuation speed and completing analogue simulation, (4) realizing the behavior logic of the intelligent agent in different emotion states, (5) calculating the emotion attenuation of the intelligent agent, and (6) determining the evacuation speed and completing analogue simulation. The method can accurately restore the emotion infection and evacuation behaviors of the crowd in an emergency scene, improves the simulation authenticity and lightweight level, and provides decision support for emergency evacuation scheme making and emergency management.

The invention discloses an intelligent fire safety assessment method and system for a building, and relates to the technical field of fire safety, and the method comprises the steps: carrying out the spatial registration and interpolation calculation of a risk thermodynamic diagram and a grading early warning grade, generating an evacuation guidance diagram, carrying out the dynamic path planning, and obtaining an optimal evacuation route; based on the optimal evacuation route and the evacuation guide map, carrying out space coverage comparison to obtain a route coverage range, and generating a route validity verification result through coverage efficiency matching; and performing risk association analysis according to the route validity verification result and the preprocessed multi-source data, generating a risk correction factor, and obtaining a safety assessment report through multi-criterion decision analysis. According to the invention, through the risk tensor integral model and the multi-objective optimization algorithm, real-time and accurate evaluation of the building fire safety risk is realized, and scientific guidance is provided for emergency evacuation.

The invention discloses a multi-source cooperative remote sensing debris flow full-period monitoring analysis method, which comprises the following steps of: 1, acquiring multi-source remote sensing data and land utilization vector data, and establishing a full-period monitoring basic database; 2, preprocessing the collected multi-source remote sensing data and land utilization vector data to form standardized space basic data of a unified space coordinate system; 3, analyzing and processing the standardized spatial basic data to obtain a disaster condition; and step 4, performing emergency evacuation plan planning, disaster damage assessment report making and post-disaster restoration progress monitoring based on the analyzed disaster condition. According to the invention, through four core innovations of standardized process, dynamic cooperative monitoring, low-cost change detection and disaster-bearing body refined analysis, an efficient and extensible debris flow full-cycle technical system is constructed, and the method has relatively high popularization universality.

The invention discloses an intelligent building monitoring system and method, belongs to the technical field of building environment control systems, and solves the problems of energy waste and emergency response lag caused by the fact that an existing system is difficult to dynamically coordinate multi-region environment parameters. According to the technical scheme, the method comprises the steps that building space multi-dimensional environment parameters are collected through a distributed infrared sensor array, a temperature sensor array and a carbon dioxide concentration sensor array; the central controller normalizes the data, constructs a space model of a temperature gradient distribution diagram, a personnel density thermodynamic diagram and an air quality index matrix, generates an air conditioner linkage instruction based on a preset temperature difference threshold value to adjust the air supply volume ratio of adjacent areas, and generates an emergency evacuation channel opening instruction based on a personnel density threshold value; the equipment control module executes air conditioning, lighting and security linkage operation, and the lighting unit regulates and controls the brightness in a grading mode according to the curvature radius of the personnel track. The system is mainly used for realizing building environment precise regulation and control and intelligent security and protection collaborative management.

The invention belongs to the technical field of safety early warning, and discloses a 30-60-minute emergency evacuation scheme based on influence of weather change on fire potential, which constructs early warning trigger logic based on weather mutation, dynamically regulates and controls response level and realizes linkage update of minute-level evacuation strategy. According to the method, a high-sensitivity index library of wind speed jump, humidity abrupt drop, lightning stroke ignition and the like is constructed, and the micro-scale meteorological evolution trend and field situation data are combined, so that the emergency evacuation scheme can quickly enter a forced response state 30-60 minutes before rapid expansion of a wildfire, and the effectiveness and timeliness of an evacuation decision are remarkably improved.

The utility model provides a landing leg oil cylinder and a hydraulic auxiliary supporting system, and belongs to the technical field of heavy machinery, the landing leg oil cylinder comprises a telescopic oil cylinder and a landing leg base located at the bottom of the telescopic oil cylinder, and the landing leg base is used for supporting the telescopic oil cylinder; the travel switch is provided with a switch contact, and the switch contact protrudes towards the ground, so that the travel switch is in contact with the ground before the landing leg base is in contact with the ground, and the landing leg base has a complete ground contact state and a non-complete ground contact state; the manual adjusting mechanism is arranged on the supporting leg base; in a state of completely contacting with the ground, the telescopic oil cylinder normally stretches out and draws back; in the state that the supporting leg base is not in complete contact with the ground, the supporting leg base is adjusted to be in complete contact with the ground through the manual adjusting mechanism. The hydraulic supporting leg oil cylinder can effectively solve the problem that the supporting stability of the hydraulic supporting leg oil cylinder is insufficient in a complex environment, and ensures that the supporting leg oil cylinder can be reliably withdrawn when a hydraulic system breaks down, so that the safety and the emergency evacuation capacity of an engineering vehicle are improved.

The invention relates to the technical field of authority level-to-level management, in particular to a temporary authority level-to-level management method and system based on RFID (Radio Frequency Identification), and the method comprises the following steps: when an emergency triggering a global blocking state is detected, a control center generates a path guide instruction; sending the path guiding instruction to an initial access control point in the path definition; after receiving the path guiding instruction, the starting access control point enters a guiding standby state, responds to triggering of any identity certificate in the guiding standby state, and executes a one-time door opening action; after the next access control point receives the relay activation signal, the next access control point enters a relay standby state from a blocking state; in the relay standby state, the next access control point responds to the triggering of any identity certificate and executes a one-time door opening action; and each access control point recovers to the blocking state after completing the transmission of the corresponding relay activation signal. The emergency evacuation efficiency and safety are improved.

The invention discloses an urban waterlogging resident emergency evacuation path guiding method for a smart community, and relates to the technical field of smart cities and emergency management. The method comprises the following steps: firstly, constructing a community digital twinborn base fusing geographic information, building information, Internet of Things sensing data and a hydrodynamic model; dynamic inversion and prediction of the waterlogging situation are realized by assimilating a multi-source observation data driving model; calculating the space-time dynamic risk of the evacuation road network based on the prediction result, and generating a risk map; calculating a space-time evacuation scheme including optimal departure time and a specific path sequence for residents or families by combining resident personalized constraints and adopting a double-layer optimization model combining macroscopic flow distribution and microscopic path planning; finally, instructions are issued through multiple channels such as an intelligent terminal and broadcast, and dynamic adjustment is performed based on real-time monitoring, so that accurate perception, prospective prediction, personalized planning and collaborative guidance of waterlogging evacuation are realized, and the overall efficiency of community emergency evacuation is effectively improved.