Hydropower station disaster early warning emergency information processing method, system, equipment and medium

Abstract

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.

Description

Technical Field

[0001] This application relates to the field of information processing technology, and in particular to a method, system, equipment and medium for processing disaster early warning and emergency information for hydropower stations. Background Technology

[0002] Hydropower stations, as an indispensable basic infrastructure for modern society's production and daily life, shoulder the important mission of ensuring energy supply and social operation. Due to the uncertainty of the number of people in each building area during a sudden disaster, and the differences in the geographical location and capacity of each emergency refuge area, how to accurately plan the optimal emergency refuge area for each building area based on actual conditions and comprehensively weighing various factors, thereby achieving scientific and rational emergency evacuation and disposal, has become a crucial problem that urgently needs to be solved. Summary of the Invention

[0003] In view of this, this application provides a method, system, equipment and medium for processing disaster early warning and emergency information of hydropower stations, which can realize efficient emergency evacuation, protect the lives of personnel, dynamically plan the optimal escape route and improve disaster response efficiency.

[0004] This application discloses a method for processing disaster early warning and emergency information for hydropower stations, which includes: Step 1: Determine whether an earthquake early warning signal has been generated based on the earthquake signal received by the early warning receiving terminal of the hydropower station. Combined with the hydropower station and its surrounding environment and distribution, capture the distribution pattern of people in the hydropower station and locate the building areas where people are present. Step 2: For each building area, based on the distribution of personnel within the hydropower station and the building areas with personnel, obtain the evacuation routes and route lengths from all dangerous areas to the highest safety level areas; simultaneously monitor the remaining capacity of each emergency refuge area. Step 3: Taking into account the evacuation information of the building area and the remaining capacity of the emergency shelter area, calculate the priority index of each emergency shelter area; sort them according to the priority index and match the optimal emergency shelter area for each building area.

[0005] Further, step 1 includes: Step 11: The hydropower station's early warning receiving terminal receives earthquake signals in real time via network signals, including the epicenter, magnitude, and time of occurrence. Step 12: Based on the pre-set early warning strategy and earthquake signals, the system automatically makes a judgment. If the alarm threshold is reached, an earthquake early warning signal is generated and the earthquake early warning emergency procedure is triggered through the cloud / smart system. Step 13: Based on the earthquake early warning signal, determine the high-safety-level evacuation areas; Step 14: Obtain personnel distribution information, collect human body sensing and image recognition information in different areas, obtain the distribution information of the people to be evacuated, capture the personnel distribution pattern in the hydropower station, and lock the location and distribution of personnel in the building area.

[0006] Further, step 13 includes: By combining earthquake early warning signals with a pre-established model of the hydropower station and its surrounding environment, the safety level of each area is analyzed to identify high-safety areas for evacuation, providing data support for subsequent emergency evacuation.

[0007] Further, step 14 includes: The cloud / smart system triggers different sensors or monitoring devices to obtain the distribution of people. Through different sensors or monitoring devices, it collects human body sensing and image recognition information in different areas to obtain the distribution information of the people to be evacuated, captures the distribution trend of people in the hydropower station, and locks the location and distribution of people in the building area, providing data support for subsequent evacuation route planning. The monitoring equipment includes access control systems, cameras, human body sensing sensors, and smart badges.

[0008] Further, step 2 includes: Step 21: Combining personnel distribution information, the safety level of each area, and the distance of personnel from each safe area, the system uses AI intelligent analysis to obtain the evacuation routes and route lengths from all dangerous areas to the highest safety level areas; Step 22: The system uses different sensors or monitoring equipment to calculate the real-time population heat map of the emergency refuge area, and combines it with the pre-set capacity of each area to automatically analyze the remaining capacity of each refuge area.

[0009] Further, step 3 includes: Step 31: Combining the population heat map and remaining capacity of emergency shelter areas, automatically perform intelligent analysis on each emergency shelter area to obtain the risk avoidance priority index; Step 32: By combining the priority avoidance index, evacuation routes, and route lengths of each area, the system automatically matches the optimal emergency refuge areas and corresponding routes for different areas, achieving safe and efficient emergency avoidance, and providing evacuation route planning prompts for personnel in different areas.

[0010] This application discloses a hydropower station disaster early warning and emergency information processing system, which implements the above-mentioned hydropower station disaster early warning and emergency information processing method, comprising: The early warning signal judgment module is used to determine whether an earthquake early warning signal has been generated based on the earthquake signal received by the early warning receiving terminal of the hydropower station. Combined with the hydropower station and its surrounding environment and distribution, it captures the distribution pattern of people in the hydropower station and locates the building areas where people are present. The data acquisition module is used to obtain the evacuation routes and route lengths of all dangerous areas to the highest safety level areas for each building area, based on the distribution of personnel within the hydropower station and the building areas where personnel are present; and to simultaneously monitor the remaining capacity of each emergency refuge area. The area selection module comprehensively considers the evacuation information of building areas and the remaining capacity of emergency shelter areas to calculate the priority index of each emergency shelter area; it sorts the areas according to the priority index and matches the optimal emergency shelter area for each building area.

[0011] This application discloses an electronic device including a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, implements the method described above.

[0012] This application discloses a computer-readable storage medium comprising a computer program or instructions that, when executed on a computer, cause the computer to perform any of the methods described above.

[0013] Due to the adoption of the above technical solution, this application has the following advantages: 1. Precise positioning and dynamic monitoring capabilities This solution can obtain real-time information on the distribution of personnel within the hydropower station and accurately identify the various building areas where personnel are present. By continuously tracking personnel locations, key areas requiring evacuation can be quickly pinpointed, providing a reliable data foundation for subsequent emergency decision-making.

[0014] 2. Refined evacuation information management Based on the identified building areas, the system can automatically generate corresponding evacuation information, covering the number of people to be evacuated within the area and the distance to each emergency shelter. This design ensures that the evacuation strategy is both practical and feasible.

[0015] 3. Real-time management and control of resource capacity The solution supports real-time acquisition of the remaining capacity of each emergency shelter area, enabling dynamic monitoring of shelter resources. By quantifying available space, it effectively avoids the risk of overcrowding caused by excessive concentration and improves evacuation efficiency.

[0016] 4. Optimization of intelligent priority algorithm Based on pre-defined scientific calculation rules, the system comprehensively analyzes evacuation information of building areas and the remaining capacity of emergency shelter areas, and dynamically calculates the priority index of each emergency shelter area. This algorithm balances key factors such as distance, number of people, and capacity to ensure the rationality of decision-making.

[0017] 5. Fast matching of optimal paths Through a priority index ranking mechanism, the system can quickly match the optimal emergency evacuation area for each building area. This intelligent matching method significantly shortens decision-making time and provides efficient guidance for emergency evacuation during disasters.

[0018] 6. Overall planning and flexible adaptation The core advantage of this application lies in its comprehensive consideration of actual conditions, planning an optimal evacuation plan for each building area. Regardless of differences in population density across different areas or dynamic changes in emergency evacuation resources, the system can flexibly adjust its strategies to ensure the scientific and effective nature of emergency evacuation. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments recorded in the embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings.

[0020] Figure 1 This is a schematic diagram of a hydropower station disaster early warning and emergency information processing method according to an embodiment of this application; Figure 2 This is a schematic diagram of a hydropower station disaster early warning and emergency information processing system according to an embodiment of this application. Detailed Implementation

[0021] The present application will be further described in conjunction with the accompanying drawings and embodiments. The described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by those skilled in the art should fall within the protection scope of the present application.

[0022] See Figure 1 This application provides an embodiment of a method for processing emergency information for disaster early warning at hydropower stations, which includes: Step 1: Determine whether an earthquake early warning signal has been generated based on the earthquake signal received by the early warning receiving terminal of the hydropower station. Combined with the hydropower station and its surrounding environment and distribution, capture the distribution pattern of people in the hydropower station and locate the building areas where people are present. Step 2: For each building area, based on the distribution of personnel within the hydropower station and the building areas with personnel, obtain the evacuation routes and route lengths from all dangerous areas to the highest safety level areas; simultaneously monitor the remaining capacity of each emergency refuge area. Step 3: Taking into account the evacuation information of the building area and the remaining capacity of the emergency shelter area, calculate the priority index of each emergency shelter area; sort them according to the priority index and match the optimal emergency shelter area for each building area.

[0023] Optionally, step 1 includes: Step 11: The hydropower station's early warning receiving terminal receives earthquake signals in real time via network signals, including the epicenter, magnitude, and time of occurrence. Step 12: Based on the pre-set early warning strategy and earthquake signals, the system automatically makes a judgment. If the alarm threshold is reached, an earthquake early warning signal is generated and the earthquake early warning emergency procedure is triggered through the cloud / smart system. Step 13: Based on the earthquake early warning signal, determine the high-safety-level evacuation areas; Step 14: Obtain personnel distribution information, collect human body sensing and image recognition information in different areas, obtain the distribution information of the people to be evacuated, capture the personnel distribution pattern in the hydropower station, and lock the location and distribution of personnel in the building area.

[0024] Optionally, step 13 includes: By combining earthquake early warning signals with a pre-established model of the hydropower station and its surrounding environment, the safety level of each area is analyzed to identify high-safety areas for evacuation, providing data support for subsequent emergency evacuation.

[0025] Optionally, step 14 includes: The cloud / smart system triggers different sensors or monitoring devices to obtain the distribution of people. Through different sensors or monitoring devices, it collects human body sensing and image recognition information in different areas to obtain the distribution information of the people to be evacuated, captures the distribution trend of people in the hydropower station, and locks the location and distribution of people in the building area, providing data support for subsequent evacuation route planning. The monitoring equipment includes access control systems, cameras, human body sensing sensors, and smart badges.

[0026] Optionally, step 2 includes: Step 21: Combining personnel distribution information, the safety level of each area, and the distance of personnel from each safe area, the system uses AI intelligent analysis to obtain the evacuation routes and route lengths from all dangerous areas to the highest safety level areas; Step 22: The system uses different sensors or monitoring equipment to calculate the real-time population heat map of the emergency refuge area, and combines it with the pre-set capacity of each area to automatically analyze the remaining capacity of each refuge area.

[0027] Optionally, step 3 includes: Step 31: Combining the population heat map and remaining capacity of emergency shelter areas, automatically perform intelligent analysis on each emergency shelter area to obtain the risk avoidance priority index; Step 32: By combining the priority avoidance index, evacuation routes, and route lengths of each area, the system automatically matches the optimal emergency refuge areas and corresponding routes for different areas, achieving safe and efficient emergency avoidance, and providing evacuation route planning prompts for personnel in different areas.

[0028] This application utilizes the hydropower station earthquake early warning emergency response terminal to receive early warning information and issue warnings to staff through audible and visual alarms. At the same time, the system monitors the distribution of personnel and the situation of each building area in real time. Combining the number of people to be evacuated, the availability of emergency shelters, and the distance of the routes, it comprehensively calculates the priority of each emergency shelter point, quickly matches the optimal emergency shelter area, provides dynamic reference for emergency decision-making, and flexibly adapts to the needs of actual scenarios.

[0029] See Figure 2 This application provides an embodiment of a hydropower station disaster early warning and emergency information processing system, which implements the hydropower station disaster early warning and emergency information processing method described in the above embodiment, and includes: The early warning signal judgment module is used to determine whether an earthquake early warning signal has been generated based on the earthquake signal received by the early warning receiving terminal of the hydropower station. Combined with the hydropower station and its surrounding environment and distribution, it captures the distribution pattern of people in the hydropower station and locates the building areas where people are present. The data acquisition module is used to obtain the evacuation routes and route lengths of all dangerous areas to the highest safety level areas for each building area, based on the distribution of personnel within the hydropower station and the building areas where personnel are present; and to simultaneously monitor the remaining capacity of each emergency refuge area. The area selection module comprehensively considers the evacuation information of building areas and the remaining capacity of emergency shelter areas to calculate the priority index of each emergency shelter area; it sorts the areas according to the priority index and matches the optimal emergency shelter area for each building area.

[0030] This application provides an embodiment of an electronic device, including an embodiment of a memory and a processor. The memory stores a computer program, which, when executed by the processor, implements the methods described in the above embodiment.

[0031] This application provides an embodiment of a computer-readable storage medium, which includes a computer program or instructions that, when executed on a computer, cause the computer to perform the methods described in the above embodiment.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application and not to limit them. Although this application has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of this application. Any modifications or equivalent substitutions that do not depart from the spirit and scope of this application should be covered within the protection scope of the claims of this application.

Claims

1. A method for processing disaster early warning and emergency information for hydropower stations, characterized in that, include: Step 1: Determine whether an earthquake early warning signal has been generated based on the earthquake signal received by the early warning receiving terminal of the hydropower station. Combined with the hydropower station and its surrounding environment and distribution, capture the distribution pattern of people in the hydropower station and locate the building areas where people are present. Step 2: For each building area, based on the distribution of personnel within the hydropower station and the building areas where personnel are present, obtain the evacuation routes and route lengths from all hazardous areas to the highest safety level areas; Simultaneously monitor the remaining capacity of each emergency shelter area; Step 3: Taking into account the evacuation information of the building area and the remaining capacity of the emergency shelter area, calculate the priority index of each emergency shelter area; sort them according to the priority index and match the optimal emergency shelter area for each building area.

2. The method for processing disaster early warning and emergency information for hydropower stations according to claim 1, characterized in that, Step 1 includes: Step 11: The hydropower station's early warning receiving terminal receives earthquake signals in real time via network signals, including the epicenter, magnitude, and time of occurrence. Step 12: Based on the pre-set early warning strategy and earthquake signals, the system automatically makes a judgment. If the alarm threshold is reached, an earthquake early warning signal is generated and the earthquake early warning emergency procedure is triggered through the cloud / smart system. Step 13: Based on the earthquake early warning signal, determine the high-safety-level evacuation areas; Step 14: Obtain personnel distribution information, collect human body sensing and image recognition information in different areas, obtain the distribution information of the people to be evacuated, capture the personnel distribution pattern in the hydropower station, and lock the location and distribution of personnel in the building area.

3. The method for processing disaster early warning and emergency information for hydropower stations according to claim 2, characterized in that, Step 13 includes: By combining earthquake early warning signals with a pre-established model of the hydropower station and its surrounding environment, the safety level of each area is analyzed to identify high-safety areas for evacuation, providing data support for subsequent emergency evacuation.

4. The method for processing disaster early warning and emergency information for hydropower stations according to claim 2, characterized in that, Step 14 includes: The cloud / smart system triggers different sensors or monitoring devices to obtain the distribution of people. Through different sensors or monitoring devices, it collects human body sensing and image recognition information in different areas to obtain the distribution information of the people to be evacuated, captures the distribution trend of people in the hydropower station, and locks the location and distribution of people in the building area, providing data support for subsequent evacuation route planning. The monitoring equipment includes access control systems, cameras, human body sensing sensors, and smart badges.

5. The method for processing disaster early warning and emergency information for hydropower stations according to claim 1, characterized in that, Step 2 includes: Step 21: Combining personnel distribution information, the safety level of each area, and the distance of personnel from each safe area, the system uses AI intelligent analysis to obtain the evacuation routes and route lengths from all dangerous areas to the highest safety level areas; Step 22: The system uses different sensors or monitoring equipment to calculate the real-time population heat map of the emergency refuge area, and combines it with the pre-set capacity of each area to automatically analyze the remaining capacity of each refuge area.

6. The method for processing disaster early warning and emergency information for hydropower stations according to claim 1, characterized in that, Step 3 includes: Step 31: Combining the population heat map and remaining capacity of emergency shelter areas, automatically perform intelligent analysis on each emergency shelter area to obtain the risk avoidance priority index; Step 32: By combining the priority avoidance index, evacuation routes, and route lengths of each area, the system automatically matches the optimal emergency refuge areas and corresponding routes for different areas, achieving safe and efficient emergency avoidance, and providing evacuation route planning prompts for personnel in different areas.

7. A hydropower station disaster early warning and emergency information processing system, implementing the hydropower station disaster early warning and emergency information processing method according to any one of claims 1-6, characterized in that, include: The early warning signal judgment module is used to determine whether an earthquake early warning signal has been generated based on the earthquake signal received by the early warning receiving terminal of the hydropower station. Combined with the hydropower station and its surrounding environment and distribution, it captures the distribution pattern of people in the hydropower station and locates the building areas where people are present. The data acquisition module is used to obtain the evacuation routes and route lengths for all dangerous areas to the highest safety level areas for each building area, based on the distribution of personnel within the hydropower station and the building areas where personnel are present. Simultaneously monitor the remaining capacity of each emergency shelter area; The area selection module comprehensively considers the evacuation information of building areas and the remaining capacity of emergency shelter areas to calculate the priority index of each emergency shelter area; it sorts the areas according to the priority index and matches the optimal emergency shelter area for each building area.

8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the computer program is executed by the processor, it implements the method of any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a computer program or instructions that, when executed on a computer, cause the computer to perform the method of any one of claims 1-6.

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