A method and system for flood prevention and early warning along transportation routes

Abstract

This invention discloses a method and system for flood prevention and early warning along transportation routes, belonging to the field of flood prevention technology. The invention first identifies rainfall areas and obtains historical flood information and river distribution maps for these areas. Based on historical flood information, statistical analysis is used to determine flood impact factors within each rainfall warning area. Rainfall forecasts are performed for each rainfall area to obtain forecast data, and then a rainfall warning coefficient is calculated to divide the rainfall warning areas. Within each rainfall warning area, the flood warning coefficient is calculated based on the flood impact factors within the area where the vehicle is located or its planned operating area to determine evacuation zones. Within the evacuation zones, vehicles are notified to change their routes or travel plans through sound, light, and network prompts. This invention can provide more detailed forecasts for multiple areas within rainfall zones and specifically notify vehicles that are currently traveling or about to travel to evacuate.

Description

Technical Field

[0001] This invention relates to the field of flood prevention and early warning technology, specifically to a method and system for flood prevention and early warning along transportation routes. Background Technology

[0002] With global warming, extreme weather events such as torrential rains and typhoons are occurring more frequently, leading to more localized flooding. Floods are caused by a surge in water levels in rivers, lakes, and reservoirs, resulting in the overflowing or breaching of dikes. The floodwaters then flow into farmland, urban infrastructure, roads, and railways, causing damage and even burying stations and roads. They can also destroy irrigation canals and bridges, resulting in not only enormous economic losses but also endangering lives. Therefore, timely flood monitoring and early warning systems can minimize the damage caused by floods.

[0003] With the continuous development of science and technology, flood prevention and early warning technologies are emerging one after another. However, current plans do not take into account the damage to transportation routes caused by floods due to terrain and soil factors, which makes rescue difficult. In particular, if vehicles are traveling in heavy rain or storms for various reasons, the inability to predict floods in time may result in vehicles being swept away or a large number of passengers being trapped in the vehicles, threatening their lives. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for flood prevention and early warning along transportation routes. First, the area experiencing rainfall is classified into dangerous zones. Then, based on transportation routes and terrain, a more detailed flood forecast is made to enable more accurate flood prediction and to a certain extent avoid the occurrence of danger.

[0005] To address the aforementioned technical problems, this invention provides the following technical solution: a method for flood prevention and early warning along transportation routes.

[0006] Identify the rainfall areas and obtain historical flood information and river distribution maps of the rainfall areas. The historical flood information includes the flood distribution area, geological information of the flood location, and flood characteristic information.

[0007] Rainfall forecasting is performed for each rainfall area to obtain rainfall forecast data, and then a rainfall warning coefficient is calculated to divide the rainfall warning area. Rainfall areas with a rainfall coefficient greater than or equal to the rainfall warning threshold are divided into rainfall warning areas.

[0008] Based on historical flood information, statistical analysis methods were used to determine the flood impact factors in each rainfall warning area;

[0009] Obtain the location and / or operation plan of vehicles in each traffic rainfall area, as well as the river distribution map. In each rainfall warning area, calculate the flood warning coefficient in the area where the vehicle is located or in the planned operation area of ​​the vehicle based on the flood impact factor, and determine the evacuation area.

[0010] Within the evacuation area, vehicles are notified to change their routes or travel plans through audio, light, and network prompts.

[0011] According to the above technical solution, the cloud state of the rainfall area is obtained, and parameters such as water vapor, topography, and vegetation cover with high spatiotemporal resolution are used to infer the evolution process of the weather system based on the decrease and increase of water vapor in the cloud within a preset time period, and to predict rainfall; the cloud state includes cloud height, thickness, etc.

[0012] According to the above technical solution, the rainfall prediction data includes rainfall duration and rainfall intensity.

[0013] According to the above technical solution, the formula for calculating the rainfall warning coefficient is as follows:

[0014] ;

[0015] in, Indicates the area of ​​rainfall The rainfall warning coefficient, where T represents the duration of rainfall and M represents the set rainfall amount. This represents the rainfall intensity within the time period t, where t represents the time period corresponding to different rainfall intensities.

[0016] According to the above technical solution, the flood impact factor data includes geological lithology data, topographic data, drainage engineering data, and hydrological data. The hydrological data also includes flood data.

[0017] According to the above technical solution, the step of determining the evacuation area includes:

[0018] The location of vehicles operating within the evacuation area was determined using traffic monitoring systems and vehicle GPS within the rainfall warning area;

[0019] The DBSCAN clustering algorithm was used to cluster vehicles operating within the rainfall warning area and divide the vehicle clustering areas.

[0020] The upstream direction of the nearest river to the vehicle cluster area is taken as the upstream direction of the vehicle cluster area. Based on the river distribution map in the rainfall warning area, the location of the nearest river to each vehicle cluster area is determined, and then the hydrological information of the upstream and downstream directions of the vehicle cluster area is determined, and the flood variables upstream and downstream of the vehicle cluster area are determined.

[0021] Based on the flood variables upstream and downstream of the vehicle cluster area, the flood warning coefficient of each vehicle cluster area is calculated, and the vehicle areas with flood warning coefficients greater than the preset threshold P are designated as evacuation areas.

[0022] According to the above technical solution, the formula for calculating the flood warning coefficient is as follows:

[0023] ；

[0024] Vehicle clustering area The flood warning coefficient, Represented as vehicle clustering region The flood variable corresponding to the upstream location, Indicates vehicle clustering areas The corresponding flood variables downstream of the location, , This is a constant related to the terrain of the vehicle clustering region, where n is the number of vehicle clustering regions. The number of flood variables upstream of the location, where m is the vehicle clustering region. The number of flood variables corresponding to the downstream location.

[0025] A flood prevention and early warning system along transportation routes, comprising:

[0026] The information acquisition module identifies the rainfall area and acquires historical flood information, including flood distribution area, geological information of the flood location, and flood characteristic information.

[0027] The rainfall warning area module performs rainfall forecasting for each rainfall area to obtain rainfall forecast data, then calculates the rainfall warning coefficient, and finally divides the rainfall warning area based on the traffic track map;

[0028] The flood impact factor module uses statistical analysis based on historical flood information to determine the flood impact factors for each rainfall warning area.

[0029] The evacuation area determination module obtains the location of operating vehicles and / or vehicle operation plans, as well as river distribution maps, within each traffic rainfall area. Within each rainfall warning area, it calculates the flood warning coefficient within the area where the vehicle is located or within the planned vehicle operation area based on flood impact factors, and determines the evacuation area.

[0030] The safety control module notifies vehicles to change their routes or travel plans within the evacuation area through sound, light, and network prompts.

[0031] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: This invention first predicts rainfall by inferring the evolution process of weather systems in rainfall areas, and then classifies rainfall areas into dangerous zones. Next, it classifies vehicles traveling on traffic routes within these dangerous zones. Then, based on the geographical location of the vehicles and the corresponding flood impact factors, it calculates flood warning coefficients, enabling multi-regional predictions and making flood forecasts more accurate. Simultaneously, it allows for timely and targeted notification of vehicles in motion or about to move to evacuate based on the predictions, thus mitigating economic losses and casualties to a certain extent. Attached Figure Description

[0032] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0033] Figure 1 This is a flowchart of the steps of a flood prevention and early warning method along transportation routes according to the present invention;

[0034] Figure 2 This is a flowchart of the steps for determining the evacuation area in this embodiment;

[0035] Figure 3 This is a schematic diagram of the module composition of a flood prevention and early warning system along a transportation route according to the present invention. Detailed Implementation

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] This invention provides a technical solution: a method for flood prevention and early warning along transportation routes.

[0038] S1. Determine the rainfall area and obtain historical flood information and river distribution map of the rainfall area. The historical flood information includes flood distribution area, geological information of the flood location, and flood characteristic information.

[0039] S2. For each rainfall area, rainfall forecast data is obtained, and then the rainfall warning coefficient is calculated. Then, the rainfall warning area is divided based on the traffic track map. Specifically, the cloud status of the rainfall area is obtained. Using parameters of water vapor, topography, and vegetation cover with high spatiotemporal resolution, the evolution process of the weather system is inferred based on the decrease and increase of water vapor in the cloud within a preset time period. Rainfall forecast data is obtained, and then the rainfall warning coefficient is calculated. The rainfall areas with a rainfall coefficient greater than or equal to the rainfall warning threshold are divided into rainfall warning areas. The rainfall forecast data includes rainfall duration and rainfall intensity.

[0040] S3. Based on historical flood information, statistical analysis is used to determine the flood impact factors in each rainfall warning area. The flood impact factor data includes geological lithology data, topographic data, drainage engineering data, and hydrological data.

[0041] S4. Obtain the location and / or operation plan of vehicles in each traffic rainfall area, as well as the river distribution map. Within each rainfall warning area, calculate the flood warning coefficient of the area where the vehicle is located or the planned operation area of ​​the vehicle based on the flood impact factor, and determine the evacuation area, specifically:

[0042] The location of vehicles operating within the evacuation area was determined using traffic monitoring systems and vehicle GPS within the rainfall warning area;

[0043] The DBSCAN clustering algorithm was used to cluster vehicles operating within the rainfall warning area and divide the vehicle clustering areas.

[0044] The upstream direction of the nearest river to the vehicle cluster area is taken as the upstream direction of the vehicle cluster area. Based on the river distribution map in the rainfall warning area, the location of the nearest river to each vehicle cluster area is determined, and then the hydrological information of the upstream and downstream directions of the vehicle cluster area is determined, and the flood variables upstream and downstream of the vehicle cluster area are determined.

[0045] Based on the flood variables upstream and downstream of the vehicle cluster area, the flood warning coefficient of each vehicle cluster area is calculated, and the vehicle areas with flood warning coefficients greater than the preset threshold P are classified as evacuation areas.

[0046] S5. Within the evacuation area, notify vehicles to change their routes or travel plans through audio, light, and network prompts.

[0047] The formula for calculating the rainfall warning coefficient in the above embodiments is as follows:

[0048] ;

[0049] in, Indicates the area of ​​rainfall The rainfall warning coefficient, where T represents the duration of rainfall and M represents the set rainfall amount. This represents the rainfall intensity within the time period t, where t represents the time period corresponding to different rainfall intensities.

[0050] The formula for calculating the flood warning coefficient in the above embodiments is as follows:

[0051] ；

[0052] Vehicle clustering area The flood warning coefficient, Represented as vehicle clustering region The flood variable corresponding to the upstream location, Indicates vehicle clustering areas The corresponding flood variables downstream of the location, , This is a constant related to the terrain of the vehicle clustering region, where n is the number of vehicle clustering regions. The number of flood variables upstream of the location, where m is the vehicle clustering region. The number of flood variables corresponding to the downstream location.

[0053] Another embodiment is also included: a flood prevention and early warning system along transportation routes, comprising:

[0054] The information acquisition module identifies the rainfall area and acquires historical flood information, including flood distribution area, geological information of the flood location, and flood characteristic information.

[0055] The rainfall warning area module performs rainfall forecasting for each rainfall area to obtain rainfall forecast data, and then calculates the rainfall warning coefficient to divide the rainfall warning area.

[0056] The flood impact factor module uses statistical analysis based on historical flood information to determine the flood impact factors for each rainfall warning area.

[0057] The evacuation area determination module obtains the location of operating vehicles and / or vehicle operation plans, as well as river distribution maps, within each traffic rainfall area. Within each rainfall warning area, it calculates the flood warning coefficient within the area where the vehicle is located or within the planned vehicle operation area based on flood impact factors, and determines the evacuation area.

[0058] The safety control module notifies vehicles to change their routes or travel plans within the evacuation area through sound, light, and network prompts.

[0059] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0060] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for flood prevention and early warning along transportation routes, characterized in that, The method includes: Identify the rainfall areas and obtain historical flood information and river distribution maps of the rainfall areas. The historical flood information includes the flood distribution area, geological information of the flood location, and flood characteristic information. Rainfall forecasts are obtained for each rainfall area, and then rainfall warning coefficients are calculated to delineate rainfall warning areas. Based on historical flood information, statistical analysis methods are used to determine the flood impact factors in each rainfall warning area; the flood impact factor data includes geological lithology data, topographic data, drainage engineering data, and hydrological data; Obtain the location and / or operation plan of vehicles in each traffic rainfall area, as well as a river distribution map. Within each rainfall warning area, calculate the flood warning coefficient of the area where the vehicle is located or the planned operation area based on the flood impact factor, and determine the evacuation area. The steps for determining the evacuation area include: The location of vehicles operating within the evacuation area was determined using traffic monitoring systems and vehicle GPS within the rainfall warning area; The DBSCAN clustering algorithm was used to cluster vehicles operating within the rainfall warning area and divide the vehicle clustering areas. The upstream direction of the nearest river to the vehicle cluster area is taken as the upstream direction of the vehicle cluster area. Based on the river distribution map in the rainfall warning area, the location of the nearest river to each vehicle cluster area is determined, and then the hydrological information of the upstream and downstream directions of the vehicle cluster area is determined, and the flood variables upstream and downstream of the vehicle cluster area are determined. Based on the flood variables upstream and downstream of the vehicle cluster area, the flood warning coefficient of each vehicle cluster area is calculated, and the vehicle areas with flood warning coefficients greater than the preset threshold P are classified as evacuation areas. The formula for calculating the flood warning coefficient is as follows: ； Vehicle clustering area The flood warning coefficient, Represented as vehicle clustering region The flood variable corresponding to the upstream location, Indicates vehicle clustering areas The corresponding flood variables downstream of the location, , This is a constant related to the terrain of the vehicle clustering region, where n is the number of vehicle clustering regions. The number of flood variables upstream of the location, where m is the vehicle clustering region. The number of flood variables downstream of the location; Within the evacuation area, vehicles are notified to change their routes or travel plans through audio, light, and network prompts.

2. The method for flood prevention and early warning along transportation routes according to claim 1, characterized in that, The system acquires cloud state data for rainfall areas and uses parameters such as water vapor, topography, and vegetation cover with high spatiotemporal resolution. Based on the decrease and increase of water vapor in the clouds within a preset time period, it infers the evolution of the weather system and makes rainfall predictions.

3. The method for flood prevention and early warning along transportation routes according to claim 1, characterized in that, The rainfall forecast data includes rainfall duration and rainfall intensity.

4. The method for flood prevention and early warning along transportation routes according to claim 1, characterized in that, The formula for calculating the rainfall warning coefficient is as follows: ； in, Indicates the area of ​​rainfall The rainfall warning coefficient, where T represents the duration of rainfall and M represents the set rainfall amount. This represents the rainfall intensity within the time period t, where t represents the time period corresponding to different rainfall intensities.

5. A system based on the flood prevention and early warning method along transportation routes as described in claim 1, characterized in that, include: The information acquisition module identifies the rainfall area and acquires historical flood information, including flood distribution area, geological information of the flood location, and flood characteristic information. The rainfall warning area module performs rainfall forecasting for each rainfall area to obtain rainfall forecast data, then calculates the rainfall warning coefficient, and finally divides the rainfall warning area based on the traffic track map; The flood impact factor module uses statistical analysis based on historical flood information to determine the flood impact factors for each rainfall warning area. The evacuation area determination module obtains the location of operating vehicles and / or vehicle operation plans, as well as river distribution maps, within each traffic rainfall area. Within each rainfall warning area, it calculates the flood warning coefficient within the area where the vehicle is located or within the planned vehicle operation area based on flood impact factors, and determines the evacuation area. The safety control module notifies vehicles to change their routes or travel plans within the evacuation area through sound, light, and network prompts.

Images