24 results about "Evacuation plan" patented technology

The invention discloses an intelligent fire evacuation system and method based on dynamic environment perception, and relates to the technical field of fire fighting and safety protection, and the method comprises the steps: collecting real-time data in a fire scene; dividing the evacuation area into a plurality of grid units by using a two-dimensional rasterization technology to form a real-time updated environment map; in combination with dynamic modeling data, an optimal evacuation path is generated by using an improved path planning algorithm; an evacuation path is transmitted to trapped people in real time in a visual and auditory mode, and the visual and auditory mode comprises the use of a dynamic indicator lamp, a marker lamp, an electronic screen and a voice broadcast system; the guidance content is adjusted in combination with real-time data, and the evacuation efficiency is optimized; fire fighting equipment is linked, and the evacuation path environment is optimized; and the evacuation state is monitored through a dynamic data feedback mechanism. According to the invention, an evacuation path is calculated and updated in real time by integrating a sensor network, fire scene dynamic modeling and an intelligent path planning algorithm, and a safe and efficient evacuation scheme is provided for trapped people in a fire.

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

The invention relates to the technical field of safety monitoring, in particular to a field safety monitoring rescue system which comprises a wearable monitoring terminal used for collecting vital signs and environmental data of a user in real time; the Beidou / GPS dual-mode positioning module is used for realizing sub-meter position tracking; a dangerous behavior recognition algorithm and a self-adaptive threshold analysis module are arranged in the central processing unit; the multi-link communication system supports satellite communication, LoRa long-distance transmission and 4G / 5G automatic switching; the autonomous rescue unmanned aerial vehicle is provided with a medical material delivery cabin and an infrared thermal imager; reliable transmission of help seeking information in a non-signal area is ensured through multi-link communication, the LSTM neural network is fused with multi-dimensional data to reduce the false alarm rate, the rescue unmanned aerial vehicle can reach the range of 10 kilometers within 5 minutes, 72-hour continuous monitoring is guaranteed through flexible solar power supply, an optimal evacuation scheme is provided through dynamic path planning, the rescue probability of persons in distress is improved, and the rescue efficiency of the persons in distress is improved. And meanwhile, the rescue cost and risk are remarkably reduced.

The invention provides a digital twin emergency evacuation method and system for a highway tunnel. The method comprises the steps that S1, multi-source fire data of multiple positions in the tunnel are collected at fixed time intervals; s2, constructing a temperature field model, and calculating the thermal strain of each position based on the multi-source fire data; s3, constructing a structural field model, generating local stress of each position according to the thermal strain, then correcting temperature field model parameters by using the local stress, and then repeating the steps S2 to S3 until the local stress does not change any more; s4, constructing a smoke flow field model, calculating the fire source power of each position according to the multi-source fire data, and calculating the smoke flow diffusion rate of each position by using the smoke flow field model according to the fire source power; and S5, generating an optimal personnel evacuation scheme according to the smoke flow diffusion rate and the local stress of each position. According to the method, the problems that in the prior art, prediction of the fire development situation by using a static model is inaccurate, and accurate support cannot be provided for emergency decision making are solved.

We provide the system. [Solution] Means for acquiring an image and transmitting the said image to a data server, The data server includes an analysis means for analyzing the image and estimating the disaster situation, A generation means for transcribing the aforementioned disaster situation into text and outputting it in natural language, A plan generation means that automatically generates an evacuation plan based on the generated natural language information, A transmission and display means for transmitting and displaying the aforementioned evacuation plan to a user device, A system that includes this.

The present invention discloses a real-time crowd evacuation simulation method based on computer vision, wherein the method specifically comprises the following steps: collecting human images and creating a human data set; using the human data set to train a YOLOv3 human detection model; obtaining a camera RTSP video stream, inputting the RTSP video stream into the YOLOv3 human detection model to identify humans and obtain pixel coordinates; performing three-dimensional spatial positioning using monocular machine vision to convert the human pixel coordinates into world coordinates; extracting features of the evacuation scene, establishing a two-dimensional cellular automaton evacuation model of the evacuation scene; placing humans into a grid of the cellular automaton evacuation model using world coordinates, and performing real-time evacuation simulation, thereby achieving simulation of the crowd evacuation process. The present invention can perform real-time analysis based on the actual distribution of personnel and the disaster situation of the emergency scene, and generate an evacuation strategy in real time to help managers perform evacuation management, thereby achieving scientific guidance on emergency safety evacuation plans.

The application discloses a typhoon disaster emergency evacuation deduction method and a demonstration method, and the deduction method comprises the following steps: setting a deduction background according to information of a typhoon and a landing place of the typhoon; setting initial states of personnel distribution, traffic conditions and material reserves according to the deduction background; designing deduction rules; performing evacuation deduction on a display map according to the deduction rules and the initial states of the personnel distribution, the traffic conditions and the material reserves; evaluating evacuation efficiency and resource utilization rate according to a deduction result; and improving the deduction rules according to an evaluation result. The deduction method can design and check each link of an evacuation plan in detail, quickly set and execute a drill, shorten preparation and execution time of the drill, make the evacuation drill more frequent, improve coverage range and frequency of the drill, and ensure feasibility and effectiveness of the plan in actual operation.

The present invention relates to a system and method for early fire detection and extinguishing on façades with integrated and automated management via artificial intelligence and a real-time evacuation application comprising: extinguishing actuators; detection means; a processing unit (4); an artificial intelligence engine that processes the data to determine the probability of a fire event, based on a multiple correlation of this data, and, where applicable, activate one or more of the extinguishing actuators; and a warning and notification system having a software application that generates a dynamic evacuation map for a user. The steps of the method comprise: A) receiving data from the detection means; B) processing this data in a central processing unit (4) using an artificial intelligence engine to determine the presence of a fire; C) activating extinguishing actuators; and D) generating an evacuation plan in real time.

The invention discloses an emergency medical rescue cooperative scheduling method, device and equipment and a storage medium. The method comprises the following steps: constructing a target model corresponding to a wounded post-delivery-medical resource scheduling problem; wherein the target model takes maximization of the number of wounded persons as a target function; processing the target model based on a preset double-layer scheduling algorithm so as to carry out emergency medical rescue cooperative scheduling; wherein the double-layer scheduling algorithm comprises an upper-layer algorithm and a lower-layer algorithm, the upper-layer algorithm is used for dynamically planning a wounded person post-sending scheme, and the lower-layer algorithm is used for dynamically scheduling treatment resources according to the upper-layer wounded person post-sending scheme. According to the application, a three-level treatment system of the wounded personnel concentration point-temporary hospital-rear hospital is constructed, a mixed integer programming model which takes wounded personnel post-delivery and medical resource scheduling into consideration at the same time and takes maximization of the number of successfully treated people as a target is established by analyzing problem characteristics, and a double-layer scheduling algorithm is designed to realize rapid solution. The recovery rate of the wounded and the utilization efficiency of medical resources are effectively improved.

A system is provided.SOLUTION: A system comprising: means for acquiring location information and information on evacuation from a user via communication means as information collecting means; storage means for storing the acquired location information and information on evacuation; calculation means for generating an appropriate evacuation plan for the user based on the stored information; and notifying means for detecting occurrence of a disaster and automatically notifying the user of the generated evacuation plan.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to predict a flood risk and propose a quick and appropriate countermeasure to a local government.SOLUTION: A system includes a data collection unit, an analysis unit, a prediction unit, and a proposal unit. The data collection unit collects river data. The analysis unit analyzes the river data collected by the data collection unit. The prediction unit predicts a flood risk based on the data analyzed by the analysis unit. The proposing unit is configured to propose an operation plan of the facility and a evacuation plan to residents to the local government on the basis of the flood risk predicted by the predicting unit.SELECTED DRAWING: Figure 1

The invention relates to a refuge equipment planning method and system based on traditional village feature analysis, and relates to the technical field of refuge equipment planning, and the method comprises the steps: obtaining the wood type, humidity, wood building topology and distribution information of a target village, and obtaining the ignition point distribution information through the ignition point mode analysis; a preset future time zone weather forecast is loaded, and temperature maximum value distribution information is obtained through analysis of a temperature extreme value prediction model bound with villages in combination with environment temperature and humidity; extracting a quasi fire area whose temperature maximum value is greater than or equal to the ignition point; when the number of the quasi-fire areas is larger than 0, refuge equipment distribution and material storage states are loaded; and configuring a refuge scheme, producing a village fire refuge strategy, and executing a preset future time zone refuge plan. The problems that in traditional village fire protection, wood building characteristics and extreme weather influence under climate change are not combined, accurate fire pre-judgment and adaptive refuge planning are lacked, personnel evacuation and escape are difficult in the fire, and the protection effect is poor are solved.

This invention discloses an urban disaster emergency response and intelligent management system based on unmanned aerial vehicles (UAVs), relating to the field of emergency response technology. It includes a drainage flow calculation unit, a monitoring station setting unit, a water depth prediction unit, a recognition model training unit, an actual water accumulation analysis unit, and an emergency response unit. The invention uses the recognition model training unit to process the collected image data to obtain new image data, thereby expanding the number of images in the original sample dataset. Furthermore, it continuously optimizes the parameters of the network model using training, testing, and validation data, further improving the accuracy of the model in recognizing wheel areas. Simultaneously, the actual water accumulation analysis unit calculates the corresponding wheel radius in the image data based on the identified wheel area, further estimating the actual water accumulation height, ensuring that the evacuation plan formulated by the control center is more scientific and effective.

The present invention discloses a rapid evaluation method for the safety performance of passenger ship personnel evacuation, including the following steps: (1) Collecting the evacuation space distribution information, personnel distribution information and evacuation plan information of the passenger ship; (2) Determining the nodes representing the ship layout elements according to the collected information, and constructing an evacuation network based on the hydraulic model; (3) Combining the evacuation network structure, the personnel distribution information therein and the node geometric parameters, initializing the starting node and calculating the flow parameters of other nodes; (4) Calculating performance indicators such as evacuation time, congestion degree and countercurrent condition according to the flow parameters of each network node; (5) Evaluating whether the evacuation performance of the passenger ship meets the standards, and analyzing the possible problems in the layout design and evacuation plan; The present invention rapidly evaluates the personnel evacuation time, congestion degree and countercurrent condition of the passenger ship, and evaluates the rationality of the passenger ship space layout and evacuation plan in real time, thereby reducing the safety hazards of passenger ship personnel evacuation.

The present invention discloses a SUMO-based highway reconstruction and expansion simulation scenario construction and its evacuation and rescue decision-making method and system. The method comprises the following steps: Step 1: Based on the rescue and evacuation route plans during the highway reconstruction and expansion period, combined with traffic flow operation parameters, a dynamic scheme combination decision model is established; Step 2: Traffic simulation during the highway reconstruction and expansion period is performed using SUMO simulation software to simulate the traffic operation status of the reconstruction and expansion section under traffic accident conditions; Step 3: Multiple rescue and evacuation routes are implemented in the reconstruction and expansion simulation, simulation data is collected, and regression fitting is performed on the decision model. The simulation results are statistically analyzed and the validity of the decision model is verified. The system comprises a model construction module, a traffic simulation module, and a result verification module. By constructing a scheme decision model and determining the appropriate rescue and evacuation plan under the current traffic conditions based on input traffic flow parameters, the present invention achieves rapid rescue and evacuation of accidents during reconstruction and expansion, effectively restoring normal traffic flow operation.

To provide a construction management method configured to determine and provide a degree of influence on construction through environmental impact simulation that combines environmental information with a construction management 4D model, and obtain an evacuation plan corresponding to the degree of influence to be provided to a construction site, thereby improving safety and productivity.SOLUTION: A construction management method that utilizes a 4D model system includes the steps of: preparing a plan 4D model which is a time-based plan three-dimensional structural diagram in a construction site; preparing, based on the plan 4D model, an actual / corrected 4D model which is a three-dimensional structural diagram obtained by reflecting actual results with the progress of the construction; obtaining environmental information including environmental change forecast; performing environmental impact simulation while reflecting the environmental information acquired by the actual / corrected 4D model; and providing a result of the environmental impact simulation to a terminal of a person concerned, obtaining an evacuation plan formulated by the person concerned, and providing the evacuation plan in combination with the environmental impact simulation result to the construction site.SELECTED DRAWING: Figure 1

The invention discloses an underground space fire-fighting early warning method and device based on digital twinning and a medium, and relates to the technical field of intelligent fire fighting, and the method comprises the steps: obtaining tunnel real-time environment data, and carrying out the multi-modal feature fusion of a real-time fire behavior on the tunnel real-time environment data, so as to determine a tunnel fire behavior feature vector; performing node network fire behavior state judgment on the tunnel fire behavior feature vector to obtain a fire behavior state parameter; through fire source trend analysis, the change condition of fire state parameters is deduced in real time, and tunnel fire evolution trend data are determined; based on the fire behavior evolution trend data, through smoke and thermodynamic diagram dynamic rendering, a simulation scene of tunnel fire behavior evolution is obtained; and according to the simulation scene, performing personnel evacuation simulation on the tunnel, and determining a real-time personnel evacuation plan under the tunnel fire behavior. According to the method, the technical problem of inconvenience in fire behavior prediction in tunnel underground space fire-fighting early warning in the prior art is solved.

The invention belongs to the field of safety engineering and emergency evacuation, and particularly relates to an emergency evacuation indication board based on sound guidance and light guidance, which comprises a positioning module, a power supply module, a sound guidance module, a light guidance module, a Bluetooth module and an evacuation scheme execution module, the system achieves the technical effects that the sound and light in the environment are collected through the positioning module to generate the environment, the evacuation path is generated under the emergency condition, and the emergency evacuation personnel are guided to be evacuated under the complex condition through the ultrasonic directional generator and the regional light; wherein the positioning module comprises an environment data acquisition system and is linked with the Bluetooth module and the WIFI module to quickly generate an emergency evacuation route, so that the best emergency evacuation scheme can be made in time in a complex and changeable emergency evacuation environment.

We provide the system. [Solution] Information acquisition methods for collecting disaster information, Information analysis tools for analyzing disaster situations based on acquired information, A means of formulating an evacuation plan that identifies the optimal evacuation route and shelter based on the analysis results, A means for generating individual responses that provide individual countermeasures according to the user's attribute data, A notification method for informing users of disaster response measures, A system that includes this.

The system according to this embodiment aims to grasp detailed disaster risks for each region and to formulate effective disaster prevention plans. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a proposal unit, a prediction unit, and an instruction unit. The collection unit collects data such as topographic data, weather information, past disaster history, and infrastructure status. The analysis unit comprehensively analyzes the data collected by the collection unit and creates a detailed disaster risk map for each region. The proposal unit proposes the optimal evacuation plan and infrastructure development priorities based on the analysis results obtained by the analysis unit. The prediction unit predicts disasters in real time based on the latest data. The instruction unit generates the optimal evacuation order according to the situation of each resident.

A system is provided.SOLUTION: Acquiring water level data, precipitation data, and topographic data of a river from a weather database; converting the acquired data into a unified format; inputting the converted data into a generative AI model to predict a flood risk; and performing risk evaluation based on the predicted flood risk; A system comprising: means for visually displaying a risk level on a map; means for notifying a disaster prevention staff of a local government and residents of a risk evaluation result; means for proposing a evacuation plan based on the notified risk evaluation result; and means for collecting feedback from each local government and residents and using the feedback to improve accuracy of a model.SELECTED DRAWING: Figure 1

The present invention provides an evacuation plan generation device and a control method therefor that alleviate congestion during evacuation from buildings and enable the rapid completion of evacuation. [Solution] The communication IF 103 acquires the physical fitness information (walking speed, heart rate) and current location of each employee 6. The processor 101 selects an evacuation route according to the physical fitness information and current location of each employee 6 and generates an evacuation plan for each employee 6. Each employee 6's evacuation plan is a plan for each employee 6 to evacuate from building 2 by moving along an evacuation route, including the use of stairs, after leaving their current location. The communication IF 103 transmits each employee 6's evacuation plan to the terminal 3 that each employee 6 possesses.

We provide the system. [Solution] Means for acquiring atmospheric data and topographic information, Means for acquiring atmospheric information and topographic data, Means for pre-processing the aforementioned atmospheric information and topographic data, A means for analyzing the aforementioned atmospheric information and topographic data using machine learning methods to predict the probability of disaster occurrence, A means for generating an evacuation plan based on prediction results, Means for presenting the aforementioned evacuation plan via an output device, A means of providing personalized evacuation instructions based on the user's location information, A system that includes this.

The application discloses a multi-agent nuclear accident dynamic emergency evacuation method and a storage medium, and belongs to the technical field of nuclear accident emergency evacuation. In view of the problem that existing evacuation algorithms do not combine real city fine-grained traffic conditions in the nuclear proliferation scene, the application proposes a grid slicing and dynamic road condition mapping mechanism based on a map API. By obtaining the boundary coordinates of the target area to generate grid slicing, a rectangular query algorithm with frequency control is used to obtain branch-level real-time traffic data and time-series processing; the traffic data is superimposed with a nuclear radiation Gaussian plume space-time diffusion model to construct a radiation and traffic dual risk joint state matrix; based on the matrix, the MAPPO multi-agent reinforcement learning algorithm is used to train the agent through a multi-dimensional reward function to obtain an optimal collaborative evacuation plan that avoids congestion and high radiation areas. The application fills the technical gap in the real fine-grained road network access and multi-agent collaborative scheduling of nuclear emergency evacuation.