Campus emergency evacuation path dynamic planning system based on edge calculation

Abstract

The invention discloses a campus emergency evacuation path dynamic planning system based on edge computing, and the system comprises a data collection layer which collects disaster-related information in real time through a sensor network deployed in a campus, and collects personnel distribution and flow information through mobile terminals carried by teachers and students; the edge computing layer is used for receiving the data acquired by the data acquisition layer through edge computing nodes, performing primary processing and analysis on the data and reporting the data to the cloud; generating an evacuation path by combining the received data with the campus building layout, the channel condition and the obstacle information through the cloud processor; and the application layer issues the evacuation path generated by the cloud processor to teachers and students through an electronic display screen, a broadcasting system and a mobile phone application program. According to the system, the edge computing technology is utilized, data such as campus geographic information, real-time personnel distribution and environment conditions are combined, and efficient and accurate campus emergency evacuation path dynamic planning is achieved.

Description

Technical Field

[0001] The present invention relates to the field of campus security, and specifically, to a dynamic planning system for campus emergency evacuation routes based on edge computing. Background Art

[0002] There are a large number of people on campus. In case of emergencies such as fires and earthquakes, every second counts. Dynamic planning can quickly adjust the evacuation route according to real-time information such as the distribution of the flow of people and the evacuation speed, avoid overcrowding in specific areas, reduce congestion and waiting time, thereby accelerating the overall evacuation speed and enabling teachers and students to evacuate to a safe area in the shortest possible time.

[0003] Through dynamic monitoring and analysis, potential dangerous areas or obstacles can be detected in a timely manner, and the evacuation route can be adjusted accordingly to ensure that teachers and students stay away from danger. For example, when a fire breaks out or other dangerous situations occur near an exit, the system can quickly guide the crowd to avoid this area and select a safer evacuation route to reduce the risk of injury.

[0004] It is very necessary to dynamically plan the campus emergency evacuation route. It can not only improve the evacuation efficiency and enhance safety, but also adapt to complex and changeable environments, optimize resource utilization, and provide strong support for management and command. It is an important part of building an efficient and safe campus emergency evacuation system. Therefore, a dynamic planning system for campus emergency evacuation routes based on edge computing is needed. Summary of the Invention

[0005] The object of the present invention is to provide a dynamic planning system for campus emergency evacuation routes based on edge computing. This dynamic planning system for campus emergency evacuation routes based on edge computing uses edge computing technology, combines data such as campus geographical information, real-time personnel distribution, and environmental conditions, and realizes efficient and accurate dynamic planning of campus emergency evacuation routes. In case of an emergency, it can quickly plan the optimal evacuation route for teachers and students, ensure the safety of the personnel on campus, and improve the emergency response speed and evacuation efficiency.

[0006] To achieve the above object, the present invention provides a dynamic planning system for campus emergency evacuation routes based on edge computing. This dynamic planning system for campus emergency evacuation routes based on edge computing includes: a data acquisition layer that collects disaster-related information in real time through a sensor network deployed on campus, and collects personnel distribution and movement information through mobile terminals carried by teachers and students; an edge computing layer that receives the data collected by the data acquisition layer through edge computing nodes, performs primary processing and analysis on the data, and reports it to the cloud; the cloud processor generates an evacuation route by combining the received data with campus building layout, passage conditions, and obstacle information; an application layer that publishes the evacuation route generated by the cloud processor to teachers and students through electronic display screens, broadcast systems, and mobile phone applications.

[0007] Preferably, the sensor network consists of a smoke sensor, a temperature sensor, a personnel flow sensor, a video surveillance camera, a leakage sensor, and a vibration sensor.

[0008] Preferably, the edge computing layer includes: a data processing and analysis module that performs real-time processing and analysis on the collected data, including data cleaning, feature extraction, and fusion operations; a path planning algorithm module that generates evacuation paths according to the processed data using intelligent path planning algorithms and in combination with campus building layouts, passage conditions, and obstacle information; and a decision support module that provides decision support in complex situations to help emergency management personnel formulate comprehensive response strategies, coordinate the evacuation work in each area, and avoid evacuation chaos and stampede accidents.

[0009] Preferably, the application layer further includes a real-time monitoring and feedback module; the sensor network is used to perform real-time monitoring on the evacuation process, track the evacuation progress and behaviors of teachers and students, and when abnormal situations are detected, promptly feedback to emergency management personnel.

[0010] Preferably, the real-time monitoring and feedback module is also used to collect data during the evacuation process and store it in the storage module for post-event evaluation and system optimization.

[0011] Preferably, the data acquisition layer further includes an information entry module; the administrator enters the permanent location information of teachers and students, and the edge computing layer analyzes the floor information of teachers and students in the building based on the combined collected data and permanent location information.

[0012] Preferably, an emergency plan module is further included, and multiple emergency plans are built into the emergency plan module to provide references during the process of generating evacuation paths.

[0013] According to the above technical solution, the campus emergency evacuation path dynamic planning system based on edge computing in the present invention utilizes edge computing technology, combines data such as campus geographical information, real-time personnel distribution, and environmental conditions, and realizes efficient and accurate dynamic planning of campus emergency evacuation paths. In case of an emergency, it can quickly plan the optimal evacuation paths for teachers and students, ensure the safety of personnel on campus, and improve the emergency response speed and evacuation efficiency.

[0014] Other features and advantages of the present invention will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the following specific implementation, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the drawings:

[0016] Figure 1 It is the system architecture diagram of the present invention. Specific embodiments

[0017] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not intended to limit the present invention.

[0018] In the present invention, unless otherwise stated, the directional terms such as "up and down, left and right, front and back, inside and outside" included in the terms only represent the direction of the term in its normal use state, or the common name understood by those skilled in the art, and should not be regarded as a limitation of the term.

[0019] Refer to Figure 1 the campus emergency evacuation route dynamic planning system based on edge computing shown in the figure. The campus emergency evacuation route dynamic planning system based on edge computing includes: a data acquisition layer that collects disaster-related information in real time through a sensor network deployed on campus and collects personnel distribution and flow information through mobile terminals carried by teachers and students; an edge computing layer that receives the data collected by the data acquisition layer through edge computing nodes, performs primary processing and analysis on the data, and reports it to the cloud; generates an evacuation route by combining the received data with campus building layout, passage conditions, and obstacle information through a cloud processor; and an application layer that publishes the evacuation route generated by the cloud processor to teachers and students through electronic display screens, broadcast systems, and mobile applications.

[0020] By implementing the above technical solutions, using edge computing technology and combining data such as campus geographical information, real-time personnel distribution, and environmental conditions, efficient and accurate dynamic planning of campus emergency evacuation routes is achieved. In case of an emergency, it can quickly plan the optimal evacuation route for teachers and students, ensure the safety of personnel on campus, and improve the emergency response speed and evacuation efficiency.

[0021] In this embodiment, the sensor network is composed of a smoke sensor, a temperature sensor, a personnel flow sensor, a video surveillance camera, a leakage sensor, and a vibration sensor. For example, fire information is collected through a smoke sensor, the temperature information of the fire area is collected through a temperature sensor, the number of people in each area is collected through a personnel flow sensor, the disaster situation is visually observed through a video surveillance camera, and image information is collected. The leakage information in the campus area is collected in real time through a leakage sensor, and the house vibration information caused by an earthquake is collected in real time through a vibration sensor.

[0022] In this embodiment, the edge computing layer includes: a data processing and analysis module that performs real-time processing and analysis on the collected data, including data cleaning, feature extraction, and fusion operations; a path planning algorithm module that, based on the processed data, uses an intelligent path planning algorithm and combines campus building layouts, passage conditions, and obstacle information to generate evacuation paths; and a decision support module that, in complex situations, provides decision support to help emergency management personnel formulate comprehensive response strategies, coordinate evacuation work in each area, and avoid evacuation chaos and stampede accidents.

[0023] The data processing and analysis module, for example, matches sensor data with map information, analyzes the distribution of personnel density, and determines the scope of dangerous areas.

[0024] Intelligent path planning algorithms such as the A* algorithm, Dijkstra algorithm, or reinforcement learning algorithm based on deep learning, etc., combine campus building layouts, passage conditions, obstacle information, etc., to dynamically generate the optimal evacuation path. This algorithm takes into account multiple factors such as path length, travel time, personnel congestion level, safety, etc., to ensure that the planned path can quickly and safely guide teachers and students to evacuate.

[0025] In this embodiment, the application layer further includes a real-time monitoring and feedback module; it uses the sensor network to monitor the evacuation process in real time, track the evacuation progress and behavior of teachers and students, and when abnormal situations are detected, promptly feedback to emergency management personnel. In complex situations, such as multiple fires occurring simultaneously or the risk of secondary disasters, it provides decision support to help emergency management personnel formulate comprehensive response strategies, coordinate evacuation work in each area, and avoid evacuation chaos and stampede accidents.

[0026] Use video surveillance cameras and other sensors to monitor the evacuation process in real time, track the evacuation progress and behavior of teachers and students. Once abnormal situations are detected, such as people flowing against the current, congestion, or being trapped, promptly feedback to emergency management personnel so that corresponding measures can be taken for adjustment and rescue.

[0027] In this embodiment, the real-time monitoring and feedback module is also used to collect data during the evacuation process, store it in the storage module, and use it for post-event evaluation and system optimization. Through such implementation, the data of each emergency handling event is stored and compared with the planned evacuation path for evaluation. Through the summary and evaluation of each event, it is applied to the next event to optimize subsequent evacuation paths.

[0028] In this embodiment, the data acquisition layer further includes an information entry module; the administrator enters the permanent location information of teachers and students, and the edge computing layer analyzes the floor information of teachers and students in the building based on the combined collected data and permanent location information.

[0029] Since the personnel distribution and movement information is collected through the mobile terminals carried by teachers and students, only planar two-dimensional position and movement information can be generated. Since teachers and students have specific activity ranges in the classrooms or dormitories on campus, after inputting the specific activity ranges through the information input module and combining with the position information, the spatial position information of personnel can be roughly judged, enabling more accurate planning of evacuation routes.

[0030] In this embodiment, an emergency plan module is further included. Multiple emergency plans are built in the emergency plan module to provide references during the process of generating evacuation routes. Through such implementation, when generating evacuation routes, the prefabricated plans in the emergency plan module can be used as references to improve the efficiency and effect of route planning.

[0031] The display methods of the planned routes are as follows: clearly display the evacuation route map and guiding arrows through an electronic display screen; continuously repeat and broadcast the evacuation instructions and route information in voice form through a broadcasting system; provide personalized evacuation navigation for each teacher and student through a mobile application to guide them to quickly find the nearest safe exit.

[0032] The edge computing layer in the present invention includes several edge computing nodes. The edge computing nodes are close to the data sources, can quickly process data, and reduce data transmission delays. By preprocessing and preliminarily analyzing the data on the edge side and only transmitting the key information to the cloud or data center, the network bandwidth pressure is effectively reduced, and the real-time performance and response speed of the system are improved.

[0033] Adopting a distributed computing architecture, multiple edge computing nodes work together collaboratively to achieve parallel processing of data and load balancing, ensuring the efficiency and stability of the system when dealing with large-scale data.

[0034] The preferred embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solutions of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0035] In addition, it should be noted that, in the case of no contradiction, the various specific technical features described in the above specific embodiments can be combined in any appropriate way. To avoid unnecessary repetition, the present invention will not separately describe various possible combination methods.

[0036] Furthermore, any combination can be made between various different embodiments of the present invention as long as it does not violate the idea of the present invention, and it should also be regarded as the content disclosed by the present invention.

Claims

1. A dynamic planning system for campus emergency evacuation routes based on edge computing, characterized in that, The campus emergency evacuation route dynamic planning system based on edge computing includes: The data acquisition layer, which collects disaster-related information in real time through a sensor network deployed on campus, and collects personnel distribution and movement information through mobile terminals carried by teachers and students; The edge computing layer, which receives the data collected by the data acquisition layer through edge computing nodes, performs primary processing and analysis on the data, and reports it to the cloud; The cloud processor generates evacuation routes by combining the received data with campus building layouts, passage conditions, and obstacle information; The application layer publishes the evacuation routes generated by the cloud processor to teachers and students through electronic display screens, broadcast systems, and mobile applications.

2. The campus emergency evacuation route dynamic planning system based on edge computing according to claim 1, characterized in that, The sensor network consists of smoke sensors, temperature sensors, personnel flow sensors, video surveillance cameras, leakage sensors, and vibration sensors.

3. The campus emergency evacuation route dynamic planning system based on edge computing according to claim 1, characterized in that, The edge computing layer includes: The data processing and analysis module, which performs real-time processing and analysis on the collected data, including data cleaning, feature extraction, and fusion operations; The path planning algorithm module, which generates evacuation routes according to the processed data, using intelligent path planning algorithms, and combining campus building layouts, passage conditions, and obstacle information; The decision support module, which provides decision support in complex situations to help emergency management personnel formulate comprehensive response strategies, coordinate the evacuation work in each area, and avoid evacuation chaos and stampede accidents.

4. The campus emergency evacuation route dynamic planning system based on edge computing according to claim 1, characterized in that The application layer also includes a real-time monitoring and feedback module; The sensor network is used to monitor the evacuation process in real time, track the evacuation progress and behavior of teachers and students, and when abnormal situations are found, it is timely feedback to emergency management personnel.

5. The campus emergency evacuation route dynamic planning system based on edge computing according to claim 4, wherein The real-time monitoring and feedback module is also used to collect data during the evacuation process and store it in the storage module for post-event evaluation and system optimization.

6. The dynamic planning system for campus emergency evacuation routes based on edge computing according to claim 1, characterized in that, The data acquisition layer also includes an information entry module; The administrator enters the permanent location information of teachers and students, and the edge computing layer analyzes the floor information of teachers and students in the building according to the combined collected data and permanent location information.

7. The dynamic planning system for campus emergency evacuation routes based on edge computing according to claim 1, characterized in that, It also includes an emergency plan module, which has multiple built-in emergency plans to provide reference during the process of generating evacuation routes.

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