298 results about "Emergency evacuation" patented technology

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.

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 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 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 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 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.

The invention discloses a fire-fighting emergency evacuation guiding system driven by reinforcement learning, relates to the technical field of emergency evacuation guiding, and provides the following scheme that the fire-fighting emergency evacuation guiding system comprises the steps of gridding a monitoring area and calculating a comprehensive danger value of each grid by collecting temperature, smoke concentration, personnel density and a standard path in a building in real time; after the high-risk grids are removed, the remaining grid risk values are input into a reinforcement learning decision model to generate candidate paths; a safety score is obtained by calculating the matching degree of a path and a standard path, and the score is dynamically adjusted in combination with the danger value of each grid and the personnel density; meanwhile, obtaining an efficiency score based on a path length ratio and performing corresponding optimization; and finally, determining an optimal evacuation path from the candidate paths by adopting a multi-objective optimization algorithm, and driving an intelligent indicating device to guide evacuation. According to the invention, the limitation of a fixed evacuation scheme in a dynamic fire scene is solved, intelligent emergency evacuation command is realized, and the safety and efficiency of the evacuation process are improved.

A cloud-based intelligence to emergency evacuation systems using Wi-Fi access points over data communication systems. A layout of emergency exits for a building being monitored and AP locations within the building layout is configured. A density map is generated from a number of stations within radio range of each AP including stations that are connected and stations that are not connected. An emergency that requires evacuation of people from the building from an emergency system associated with the building is detected. In response, an optimal evacuation route from each AP based on the density map and the building layout is generated. Evacuation instructions for each AP can be displayed on the stations within range of each AP.

The invention discloses a rail transit fire emergency evacuation simulation analysis method and system, and relates to the technical field of fire evacuation simulation analysis, and the method comprises the steps: collecting three-dimensional space structure data, fire scene parameters and initial passenger distribution data of a target rail transit station; constructing an evacuation simulation model of the intelligent body passengers; generating dynamic fire risk field data; coupling the dynamic fire risk field data with the evacuation simulation model, and constructing an evacuation simulation operation result; according to the method, the technical problems that in the prior art, the rail transit fire emergency evacuation simulation scene restoration is not accurate, the path decision is not combined with dynamic risk and personnel interaction, and consequently the safety and efficiency of emergency evacuation are insufficient are solved; the technical effects that accurate simulation of the evacuation process and optimization of the evacuation path in the rail transit fire scene are achieved, and the safety and efficiency of emergency evacuation are improved are achieved.

The invention relates to the technical field of emergency management and intelligent evacuation, in particular to an intelligent emergency evacuation system based on a risk perception RVO model, which comprises the steps of acquiring fire behavior sensor data, smoke concentration data and building structure information in real time to generate a dynamic risk potential field function; constructing a speed decision model for each pedestrian, wherein an output speed vector of the speed decision model is synthesized by a social following component, a risk avoidance component, a path preference component and a target guiding component; density gradient constraint is applied according to the real-time crowd density, so that the pedestrian speed direction deviates from a high-density area, and when it is detected that the included angle between the pedestrian speed direction and the historical direction is larger than a threshold value, path resetting is triggered; according to the scheme, the method has the advantages of being rapid in risk response, fine in behavior modeling, high in path dynamic optimization and execution landing capability and the like, and the intelligent level and the safety guarantee capability of emergency evacuation in a complex scene are remarkably improved.

The invention discloses a dynamic collecting and distributing guiding method for emergency passenger flow evacuation of urban rail transit, which comprises the following steps of: firstly, calculating to obtain a neighborhood radius value meeting service requirements of the number, the position and the like of guiders according to acquired internal construction data of a building, information of the guiders, types of the passengers, real-time position information and relative position information among the passengers; secondly, inputting a neighborhood radius threshold value and a density threshold value, and calculating to obtain the number and positions of clusters after the emergency evacuation passenger flow aggregation and the passenger density in each cluster; calculating to obtain a central aggregation point in each cluster according to the information; and finally, the passenger travels to the aggregation point according to the indication of the mobile phone emergency evacuation guiding software, and meanwhile, the guider arrives at the aggregation point and drives all passengers near the aggregation point to evacuate from the dangerous area in order, so that passenger flow emergency safe evacuation is completed. According to the invention, the operation service level of the urban rail transit system and the travel safety of passengers can be improved when the station is in emergency.

The invention relates to the technical field of computer vision and artificial intelligence, and discloses a public area pedestrian trajectory monitoring system based on cross-camera tracking and hybrid simulation completion. The system comprises a camera array module, a pedestrian detection and cross-camera tracking module, a monitoring blind area information base module, a hybrid drive pedestrian simulation engine module, a track fusion and complementation module and a simulation integration propulsion module. According to the invention, monitoring blind area tracks can be effectively filled, track continuity and prediction accuracy are improved, existing hardware is fully utilized to reduce cost, and modular design is easy to integrate and convenient to use. The generated complete track can be widely applied to scenes such as public safety monitoring, passenger flow analysis and emergency evacuation plan making in public places such as ports, subway hubs, cruise ship wharfs and commercial complexes, and supports a real-time monitoring or post-analysis mode.

The invention provides a tunnel safety monitoring and early warning management method and system, and relates to the technical field of tunnel safety, and the method comprises the steps: carrying out the multi-mode data collection of a tunnel environment through a plurality of intelligent monitoring terminals connected to an RS485 bus, and carrying out the environment abnormality alarm triggering analysis; when any intelligent monitoring terminal detects an alarm event, the alarm event is broadcasted to other terminals through an RS485 bus, and other terminals receiving the alarm event autonomously analyze a diffusion probability map, calculate an emergency evacuation route and control an escape indicating device to display an evacuation direction; communication authority differentiation scheduling based on the RS485 bus is executed, and alarm event situation awareness based on multi-modal data dynamic updating is completed. The technical problems that in the prior art, tunnel safety monitoring and early warning management often adopts a centralized control mode, information transmission and processing are lagged, the alarm response time is long, and effective emergency disposal cannot be carried out in time are solved.

The invention relates to a fire emergency evacuation method and system based on multi-modal feature fusion. The method comprises the following steps: S200, acquiring detection information of a target area, wherein the detection information comprises smoke concentration information, temperature distribution information and visual detection information; s300, performing feature extraction and multi-modal feature fusion on smoke concentration information, temperature distribution information and visual detection information in the detection information; based on the dynamic weight and cross-modal attention fusion calculation, obtaining a fire confidence coefficient; and S400, obtaining the current early warning level of the target area according to the smoke concentration information, the temperature distribution information and the visual detection information in the detection information, the respective abnormal constraint conditions and the fire confidence coefficient. According to the invention, the multi-modal feature fusion can more comprehensively capture the fire information, and reduces the false alarm and the missing alarm; a dynamic weight and a cross-modal attention mechanism enable the method to have adaptive ability, can adjust the dependency relationship on different modal information in real time, and improves the flexibility of fire detection.

The invention discloses a hydropower station disaster early-warning emergency information processing method, system, equipment and medium, and the method comprises the steps: judging whether an earthquake early-warning signal is generated or not according to an earthquake signal received by a hydropower station early-warning receiving terminal, capturing the distribution situation of personnel in a hydropower station according to the hydropower station and the surrounding environment and distribution, and carrying out the early-warning of the hydropower station. All the building areas where people exist are locked; according to the personnel distribution situation in the hydropower station and the building areas where personnel exist, evacuation routes and route lengths from all dangerous areas to high-safety-level areas are obtained; synchronously monitoring the remaining number of people capable of being accommodated in each emergency refuge area; building area evacuation information and emergency refuge area residual capacity are comprehensively considered, and the priority index of each emergency refuge area is calculated; and sorting is carried out according to the priority indexes, and an optimal emergency refuge area is matched for each building area. According to the invention, efficient emergency evacuation can be realized, personnel life safety is guaranteed, and disaster response efficiency is improved.

The invention relates to the field of tunnel structures, and discloses a ventilation system and method for a through parallel adit extra-long highway tunnel. The system comprises a flat pilot tunnel, an inclined shaft, a plurality of connection channels, a ventilation system and an intelligent control system, and the flat pilot tunnel is located between a left tunnel and a right tunnel and is parallel to the left tunnel and the right tunnel; the inclined shaft is respectively communicated with the flat pilot tunnel, the left tunnel and the right tunnel; the connecting channels are arranged at intervals in the length direction of the flat pilot tunnel and enable the flat pilot tunnel to be communicated with the left tunnel and the right tunnel. Comprising a concrete partition plate extending in the length direction of the flat pilot tunnel, the concrete partition plate divides the flat pilot tunnel into an upper layer and a lower layer, a flat guide air supply duct and a flat guide discharge flue are formed respectively, and the flat guide air supply duct is also used as an emergency evacuation channel; and the control module is used for controlling the ventilation system to strengthen the air supply function in an emergency state, so that a positive pressure environment higher than the left hole and the right hole is formed and maintained in the flat guide air supply duct. The method has the beneficial effects that the flat pilot tunnel has the evacuation function, and the emergency rescue capacity is improved.

The present application relates to the technical field of intelligent traffic and emergency management, in particular to a kind of urban waterlogging emergency evacuation guiding method and system, including in response to waterlogging evacuation demand, the real-time position information of at least one evacuation target is acquired;Based on real-time position information, safety point information and real-time environmental risk data, at least one recommended safe evacuation destination is determined;For the evacuation target, one of the recommended safe evacuation destination is allocated as a target destination, and the allocation process uses the real-time available state of the target destination as the allocation constraint;Planning a safe evacuation path from the real-time position to the target destination, and the planning of the safe evacuation path is constrained by real-time environmental risk data;Provide guidance information containing target destination and safe evacuation path to the evacuation target;The present application effectively improves the overall success rate of waterlogging evacuation, and provides an efficient and feasible technical solution for urban waterlogging emergency management.

The invention provides an urban building group three-dimensional function partitioning and floor population dynamic distribution method and device, and relates to the technical field of urban space information processing. The method comprises the steps of constructing semantic feature vectors of multi-source POI data based on a BERT model and domain specific vocabularies to generate fusion data; building a floor position probability distribution model according to a three-layer progressive reasoning structure and a reasoning technology; carrying out three-dimensional function partitioning according to the function coupling strength and an improved spectral clustering algorithm; building-level demographic data are generated, and a differentiation attraction model is constructed; and solving the floor population distribution constraint optimization model according to the improved Haff model to obtain population dynamic distribution of each floor. According to the method, granularity limitation of traditional function division is broken through, floor-level refined three-dimensional function division and population dynamic distribution prediction are realized, and important decision support is provided for applications such as commercial site selection, emergency evacuation path planning, public service facility configuration optimization and the like in smart city construction.

1. Name of the designed product: emergency lighting. 2. Use of the designed product: emergency evacuation lighting. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: perspective view.

The application discloses a kind of based on real-time positioning and physiological data's cruise ship emergency evacuation guiding system and method, including bracelet terminal, monitoring subsystem, server platform and client;Bracelet terminal is worn in passenger or crew hand, including heart rate sensor, navigation display and prompt unit, wireless communication module and control circuit etc..Heart rate sensor is used to collect the heart rate information of wearer, navigation display and prompt unit are used to display route guide and provide vibration or voice prompt.By constructing dynamic electronic fence based on computer vision, combined with real-time personnel position and channel topological information to carry out evacuation simulation, generate and dynamically adjust the optimal evacuation path, and use physiological data such as heart rate to optimize the evacuation guiding strategy, trigger nearby rescue dispatch for people with abnormal vital signs, so as to improve the efficiency and safety of cruise ship emergency evacuation.