15 results about "Evacuation plan" patented technology

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 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 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.

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.