A method and system for analyzing the damage caused by flood erosion to pipeline protection engineering.

Abstract

This invention discloses a method and system for analyzing the damage caused by flood erosion to pipeline protection projects. Applied to the field of pipeline protection analysis technology, the method includes: determining the watershed where the pipeline is located and the mountainous area within that watershed; analyzing and evaluating the unit hydrograph and instantaneous unit hydrograph of the flood based on various types of rainfall data within the mountainous area, converting flood flow data to obtain flood flow data, and predicting flood characteristics; acquiring the pipeline's engineering characteristic information, analyzing the degree of flood damage to the pipeline based on the acquired flood characteristics, and obtaining damage mode analysis results; conducting pipeline damage probability analysis based on the flood probability and damage mode analysis results, obtaining damage probability analysis results, and issuing early warnings based on the damage probability analysis results. This solves the technical problem in existing technologies where it is difficult to predict the probability of pipeline damage under flood erosion and cannot quantitatively assess the risk of pipeline flood disasters.

Description

Technical Field

[0001] This invention relates to the field of pipeline protection analysis technology, and in particular to a method and system for analyzing the damage caused by flood erosion to pipeline protection projects. Background Technology

[0002] Floods are natural disasters that occur in hilly areas due to topographical and geological conditions caused by rainfall of a certain scale. Floods are highly destructive and pose one of the most serious threats to pipelines. Currently, most flood disasters occur in mountainous areas, and early warning of flood damage is mostly based on historical data. However, due to limited research data on flash floods in many small watersheds in mountainous areas, predicting pipeline damage under flood conditions is difficult, making it impossible to quantitatively assess the risk of pipeline flood disasters.

[0003] Therefore, existing technologies face the technical problem of difficulty in predicting the probability of damage to pipeline protection projects under flood scouring, and the inability to quantitatively assess the risk of pipeline flood disasters. Summary of the Invention

[0004] This application provides a method and system for analyzing the damage caused by flood scouring to pipeline protection projects, which solves the technical problem in the prior art that it is difficult to predict the probability of damage to pipeline protection projects under the action of flood scouring and that it is impossible to quantitatively assess the risk of pipeline flood disasters.

[0005] This application provides a method for analyzing the damage caused by flood erosion to pipeline protection projects. The method includes: determining the target watershed where the target pipeline protection project is located, and the target mountainous area where the target watershed is located; analyzing and evaluating the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed based on multiple types of rainfall data in the target mountainous area; converting the unit hydrograph and instantaneous unit hydrograph into flood flow data and correcting for errors to obtain flood flow data; predicting flood characteristics based on the flood flow data to obtain flood probability, flood runoff depth information, flood peak information, peak time information, and flood process information; acquiring engineering characteristic information of the target pipeline protection project; analyzing the degree of damage impact of the flood on the target pipeline protection project based on the flood runoff depth information, flood peak information, peak time information, flood process information, and engineering characteristic information to obtain damage mode analysis results; performing damage probability analysis on the target pipeline protection project based on the flood probability and the damage mode analysis results to obtain damage probability analysis results; and issuing an early warning based on the damage probability analysis results.

[0006] This application also provides a system for analyzing the damage caused by flood erosion to pipeline protection works. The system includes: a pipeline protection work location acquisition module for determining the target watershed where the target pipeline protection work is located, and the target mountainous area where the target watershed is located; a unit hydrograph acquisition module for analyzing and evaluating the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed based on various types of rainfall data within the target mountainous area; a flow data acquisition module for converting the unit hydrograph and instantaneous unit hydrograph into flood flow data and performing error correction to obtain flood flow data; and a flood characteristic prediction module for predicting flood characteristics based on the flood flow data. The system includes a flood probability measurement module, a flood runoff depth information module, a flood peak information module, a peak occurrence time information module, and a flood process information module. An impact degree acquisition module is used to acquire engineering characteristic information of the target pipeline protection project, and based on the flood runoff depth information, flood peak information, peak occurrence time information, flood process information, and engineering characteristic information, analyze the degree of damage impact of the flood on the target pipeline protection project, and obtain damage mode analysis results. An analysis and early warning module is used to perform damage probability analysis of the target pipeline protection project based on the flood probability and the damage mode analysis results, obtain damage probability analysis results, and issue early warnings based on the damage probability analysis results.

[0007] This application also provides an electronic device, including:

[0008] Memory, used to store executable instructions;

[0009] The processor, when executing executable instructions stored in the memory, implements the method for analyzing the damage of flood erosion to pipeline protection projects provided in this application embodiment.

[0010] This application provides a computer-readable storage medium storing a computer program. When executed by a processor, the program implements a method for analyzing the damage of flood erosion to pipeline protection engineering provided in this application.

[0011] This application proposes a method and system for analyzing the damage caused by flood erosion to pipeline protection projects. The method involves identifying the target watershed where the pipeline protection project is located, and the target mountainous area within that watershed. Based on various types of rainfall data from the target mountainous area, the method analyzes and evaluates the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed. The unit hydrograph and instantaneous unit hydrograph are then converted into flood flow data and error corrected to obtain flood flow data. Based on the flood flow data, flood characteristic prediction is performed to obtain flood probability, flood runoff depth information, flood peak information, peak time information, and flood process information. Engineering characteristic information of the target pipeline protection project is acquired. Based on the flood runoff depth information, flood peak information, peak time information, flood process information, and engineering characteristic information, the method analyzes the degree of damage impact of the flood on the target pipeline protection project, obtaining damage mode analysis results. Based on the flood probability and the damage mode analysis results, a damage probability analysis of the target pipeline protection project is performed, obtaining damage probability analysis results. Early warning is then issued based on these damage probability analysis results, enabling quantitative risk assessment and early warning of pipeline flood disasters. This solves the technical problem in existing technologies that makes it difficult to predict the probability of damage to pipeline protection projects under the action of flood scouring, and makes it impossible to quantitatively assess the risk of pipeline flood disasters.

[0012] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0013] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Obviously, the drawings described below only relate to some embodiments of this disclosure and are not intended to limit this disclosure.

[0014] Figure 1 This is a flowchart illustrating the method for analyzing the damage caused by flood erosion to pipeline protection engineering according to the present invention.

[0015] Figure 2 This is a schematic diagram illustrating the process of obtaining the unit hydrograph and instantaneous unit hydrograph of a flood in a method for analyzing the damage of flood scouring to pipeline protection engineering according to the present invention.

[0016] Figure 3 This is a schematic diagram of the process for obtaining flood flow data using a method for analyzing the damage caused by flood erosion to pipeline protection engineering according to the present invention.

[0017] Figure 4 A schematic diagram of the system structure for a method to analyze the damage of flood erosion to pipeline protection engineering provided in an embodiment of this application;

[0018] Figure 5 A schematic diagram of the system electronic equipment for analyzing the damage of flood erosion to pipeline protection engineering provided in an embodiment of the present invention;

[0019] Explanation of reference numerals in the attached diagram: Pipeline protection project location acquisition module 11, unit line acquisition module 12, flow data acquisition module 13, flood characteristic prediction module 14, impact degree acquisition module 15, analysis and early warning module 16, processor 31, memory 32, input device 33, output device 34. Detailed Implementation

[0020] Example 1

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the following description, references are made to “some embodiments”, which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0024] While this application makes various references to certain modules of the system according to embodiments of this application, any number of different modules may be used and run on user terminals and / or servers. These modules are merely illustrative, and different aspects of the system and method may use different modules.

[0025] This application uses flowcharts to illustrate the operations performed by the system according to embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, various steps can be processed in reverse order or simultaneously, as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them.

[0026] like Figure 1 As shown in the figure, this application provides a method for analyzing the damage caused by flood erosion to pipeline protection projects. The method includes:

[0027] S10: Determine the target watershed where the target pipeline protection project is located, and the target mountainous area where the target watershed is located;

[0028] S20: Based on various types of rainfall data within the target mountainous area, analyze and evaluate the unit hydrograph and instantaneous unit hydrograph of floods in the target watershed;

[0029] S30: Convert the flood flow data between the unit line and the instantaneous unit line, and perform error correction to obtain flood flow data;

[0030] Specifically, the target watershed where the target pipeline protection project is located, and the target mountainous area where the target watershed is located, are determined by the specific location of the target pipeline protection project. Then, based on various types of rainfall data within the target mountainous area, the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed are analyzed and evaluated. Subsequently, the unit hydrograph and instantaneous unit hydrograph are converted into flood flow data, and error corrections are performed to obtain the flood flow data.

[0031] like Figure 2 As shown, the method S20 provided in this application embodiment further includes:

[0032] S21: Based on the topographic data and rainfall distribution of the target mountain area, analyze and calculate the point and area rainfall, runoff, full-storage runoff, infiltration runoff and confluence of multiple small watersheds within the target mountain area;

[0033] S22: Based on the point and area rainfall, full-storage runoff, infiltration runoff, and confluence of multiple small watersheds, the outlet section flow and water level process of the multiple small watersheds are calculated using the water level-discharge method.

[0034] S23: Based on the outlet cross-sectional flow and water level processes of the multiple small watersheds, calculate the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed.

[0035] Specifically, based on the topographic data and rainfall distribution of the target mountainous area, the areal rainfall, runoff, storage-full runoff, infiltration-excess runoff, and runoff concentration of multiple small watersheds within the target mountainous area are analyzed and calculated. Based on the areal rainfall, storage-full runoff, infiltration-excess runoff, and runoff concentration of multiple small watersheds, the outlet cross-sectional flow and water level processes of the multiple small watersheds are calculated using the level-discharge method. Based on the outlet cross-sectional flow and water level processes of the multiple small watersheds, the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed are obtained according to the calculated values.

[0036] The method S20 provided in this application embodiment further includes:

[0037] S24: Based on the vertical scoring method, calculate the point and area rainfall of the multiple small watersheds;

[0038] S25: Based on the point and area rainfall of the multiple small watersheds, combined with the evaporation and runoff data in the target mountain area, calculate the full-storage runoff and infiltration runoff of the multiple small watersheds;

[0039] S26: Calculate the confluence of multiple small watersheds using the unit hydrograph method.

[0040] Specifically, the calculation is based on the vertical scoring method, also known as the Thiessen polygon method, which is suitable for watersheds with relatively flat terrain. It assumes that rainfall at each point within the watershed can be represented by the rainfall at the nearest station. The watershed is divided into n polygons, and the average rainfall of the watershed is estimated using the area of ​​each polygon as a weight. This yields point-area rainfall data for multiple sub-watersheds. Based on the point-area rainfall data of these sub-watersheds, combined with evaporation and runoff data from the target mountainous area, the full-storage runoff and infiltration runoff of these sub-watersheds are calculated. The full-storage runoff calculation is as follows: In humid regions, due to abundant rainfall, high groundwater levels, and a thin vadose zone, the water content in the lower part of the vadose zone often remains at field capacity. During the flood season, the water shortage in the vadose zone can be easily filled by a single rainfall event. Therefore, when a heavy rain occurs in the watershed, the soil moisture content reaches the watershed's storage capacity. The rainfall loss equals the watershed's storage capacity minus the initial soil moisture content. The runoff is the rainfall minus the loss. The calculation of excess infiltration runoff specifically involves using the infiltration curve method. The key factor influencing the runoff process is the variation in soil infiltration rate, which can be expressed by an infiltration capacity curve. This curve represents the soil infiltration capacity process under conditions of sufficient water supply, starting from complete soil drying. Subtracting the actual infiltration amount from the measured rainfall amount yields the runoff amount. The calculation of runoff from multiple small watersheds using the unit hydrograph method involves studying how surface runoff, interflow, and groundwater runoff converge at the watershed outlet. In this calculation, water sources are first identified, and then the nonlinear phenomena caused by changes in water velocity and the uneven distribution of rainfall and underlying surface conditions on the surface, leading to uneven inflow at different locations, are addressed. The watershed runoff is then calculated using the unit hydrograph method.

[0041] like Figure 3 As shown, the method S30 provided in this application embodiment further includes:

[0042] S31: Obtain the water level-discharge relationship curve within the target watershed;

[0043] S32: Based on the water level-discharge relationship curve, convert the unit line and instantaneous unit line into preliminary flow data;

[0044] S33: In the current time window, collect real-time flood hydrological data within the target watershed, correct the error of the preliminary flow data, and obtain the flood flow data.

[0045] Specifically, the water level-discharge relationship curve within the target basin is obtained. Due to the difficulty of monitoring mountainous rivers and the lack of direct flow monitoring equipment, and because the unit hydrograph method calculates flow data at the river outlet section, it is necessary to convert the remotely measured water level into flow for real-time forecast correction and probabilistic analysis. Water flow in natural rivers is often not constant, and flow generally varies over time. Based on measured water level-discharge data, a water level-discharge relationship curve is established. This curve converts water level changes into corresponding flow changes. Based on this curve, the unit hydrograph and instantaneous unit hydrograph are converted into preliminary flow data. Within the current time window, real-time flood hydrological data within the target basin is collected. Based on the water level-discharge relationship curve within the target basin, error correction is applied to the preliminary flow data to obtain the flood flow data.

[0046] S40: Based on the flood flow data, perform flood characteristic prediction to obtain flood probability, flood runoff depth information, flood peak information, peak occurrence time information, and flood process information;

[0047] S50: Obtain the engineering characteristic information of the target pipeline protection project, and analyze the degree of damage to the target pipeline protection project by the flood runoff depth information, flood peak information, peak occurrence time information, flood process information and engineering characteristic information, and obtain the damage mode analysis results;

[0048] S60: Based on the flood probability and the damage mode analysis results, perform a damage probability analysis on the target pipeline protection project, obtain the damage probability analysis results, and issue an early warning based on the damage probability analysis results.

[0049] Specifically, based on flood flow data, a watershed probabilistic forecasting model is constructed to predict flood characteristics, obtaining flood probability, flood runoff depth information, flood peak information, peak occurrence time information, and flood process information. Further, engineering characteristic information of the target pipeline protection project is obtained, including the materials and structural features of the pipeline hydraulic engineering. Subsequently, based on the flood runoff depth information, flood peak information, peak occurrence time information, flood process information, and engineering characteristic information, the degree of damage impact of the flood on the target pipeline protection project is analyzed, obtaining damage mode analysis results. Based on the flood probability and the damage mode analysis results, a damage probability analysis of the target pipeline protection project is performed, obtaining damage probability analysis results. Early warning is then issued based on these damage probability analysis results, thereby achieving quantitative risk assessment and early warning for pipeline flood disasters.

[0050] The method S40 provided in this application embodiment further includes:

[0051] S41: Based on previous flood monitoring data of the target watershed, construct a watershed probability forecasting model;

[0052] S42: Input the flood flow data into the watershed probability forecasting model to obtain the flood probability, flood runoff depth information, flood peak information, peak occurrence time information and flood process information.

[0053] Specifically, historical hydrological monitoring data of the target watershed is obtained, along with historical flood flow data. The probability of flood occurrence under this flow data is determined. Combining this historical flood flow data with information on runoff depth, peak flow, peak time, and flood process at the time of the flood, a watershed probabilistic forecasting model is constructed using a neural network model. Flood flow data is used as input data, and the corresponding flood occurrence probability, runoff depth, peak flow, peak time, and flood process information under this flow data are used as labeling data to supervise the model's training until the model's output meets a predetermined accuracy rate. The constructed watershed probabilistic forecasting model is then obtained by inputting the flood flow data into the watershed probabilistic forecasting model. The flood probability, runoff depth, peak flow, peak time, and flood process information are then obtained. This enables the forecasting of four flood characteristic indicators: runoff depth, peak flow, peak time, and flood process.

[0054] The method S50 provided in this embodiment further includes:

[0055] S51: Obtain the structural and material characteristics of the target pipeline protection project;

[0056] S52: Based on the structural feature information and material feature information, obtain the engineering feature information;

[0057] S53: Based on the flood runoff depth information, flood peak information, peak occurrence time information, flood process information, and engineering characteristic information, analyze the degree of damage impact of the flood in the target watershed on the target pipeline protection project, and obtain the damage mode analysis results.

[0058] Specifically, when obtaining the damage mode analysis results, the structural and material characteristics of the target pipeline protection project are acquired. Structural characteristics refer to the specific engineering structure of the target pipeline protection project, such as the constructed protective structure. Material characteristics refer to the materials that may be selected based on the project characteristics or geological environment, such as bricks, masonry, plain concrete, straw bags, rammed earth walls, and 3:7 lime-soil mixtures. Based on the flood runoff depth, flood peak, peak time, flood process, and engineering characteristic information, the degree of damage impact of the flood in the target watershed on the target pipeline protection project is analyzed. That is, first, the impact of water flow rate on the pipeline is obtained based on the engineering characteristic information; then, the damage mode analysis is performed based on the predicted damage based on the specific flood runoff depth, flood peak, peak time, and flood process information. Big data is used to obtain the pipeline impact caused by water flow rate on the engineering characteristic information. By combining the pipeline impact caused by engineering characteristic information and using big data to obtain flood runoff depth information, flood peak information, peak occurrence time information, and flood process information, the flood damage situation is predicted, and the damage mode is analyzed based on the predicted damage situation to obtain the damage mode analysis results.

[0059] The method S60 provided in this embodiment further includes:

[0060] S61: Based on the first second-order moment method or the JC method, and the analysis results of the flood probability and the damage mode, the damage probability analysis results are obtained.

[0061] S62: Based on the damage probability analysis results, issue an early warning for the target pipeline protection project.

[0062] Specifically, based on the flood probability and the damage mode analysis results, a damage probability analysis of the target pipeline protection project is conducted to obtain the damage probability analysis results. Early warning is then issued based on these results. Specifically, the method is either the first second moment method or the JC method. The first second moment method, when the distribution of the random variable is unclear, uses the mean and standard deviation statistical indicators to perform a Taylor expansion of the function to obtain a new mathematical model for solving structural reliability. The JC method, or equivalent normalization method, transforms a non-normally distributed random variable into a corresponding normally distributed one for indirect solution. Based on the flood probability and the damage mode analysis results, the damage probability analysis results are obtained, yielding the probability of pipeline damage and the damage outcome. Early warning is then issued for the target pipeline protection project based on the damage probability analysis results.

[0063] The technical solution provided by this invention determines the target watershed where the target pipeline protection project is located, and the target mountainous area where the target watershed is located. Based on various types of rainfall data within the target mountainous area, the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed are analyzed and evaluated. Flood flow data is converted from the unit hydrograph and instantaneous unit hydrograph, and error correction is performed to obtain flood flow data. Based on the flood flow data, flood characteristic prediction is performed to obtain flood probability, flood runoff depth information, flood peak information, peak time information, and flood process information. Engineering characteristic information of the target pipeline protection project is obtained. Based on the flood runoff depth information, flood peak information, peak time information, flood process information, and engineering characteristic information, the degree of damage impact of the flood on the target pipeline protection project is analyzed to obtain damage mode analysis results. Based on the flood probability and the damage mode analysis results, damage probability analysis of the target pipeline protection project is performed to obtain damage probability analysis results. Early warning is issued based on the damage probability analysis results, realizing quantitative risk assessment and early warning of pipeline flood disasters. This solves the technical problem in existing technologies that makes it difficult to predict the probability of damage to pipeline protection projects under the action of flood scouring, and makes it impossible to quantitatively assess the risk of pipeline flood disasters.

[0064] Example 2

[0065] Based on the same inventive concept as the method for analyzing the damage of flood erosion to pipeline protection engineering in the foregoing embodiments, this invention also provides a system for analyzing the damage of flood erosion to pipeline protection engineering. The system can be implemented in hardware and / or software, and is generally integrated into an electronic device to execute the method provided in any embodiment of this invention. Figure 4 As shown, the system includes:

[0066] The pipeline protection project location acquisition module 11 is used to determine the target watershed where the target pipeline protection project is located, and the target mountainous area where the target watershed is located;

[0067] The unit line acquisition module 12 is used to analyze and evaluate the unit line and instantaneous unit line of floods in the target watershed based on multiple types of rainfall data in the target mountainous area.

[0068] The flow data acquisition module 13 is used to convert the unit line and the instantaneous unit line into flood flow data and perform error correction to obtain flood flow data;

[0069] The flood characteristic prediction module 14 is used to predict flood characteristics based on the flood flow data, and obtain flood probability, flood runoff depth information, flood peak information, peak occurrence time information and flood process information;

[0070] The impact degree acquisition module 15 is used to acquire the engineering characteristic information of the target pipeline protection project, and analyze the degree of damage to the target pipeline protection project by the flood runoff depth information, flood peak information, peak occurrence time information, flood process information and engineering characteristic information, and obtain the damage mode analysis results.

[0071] The analysis and early warning module 16 is used to perform damage probability analysis on the target pipeline protection project based on the flood probability and the damage mode analysis results, obtain the damage probability analysis results, and issue an early warning based on the damage probability analysis results.

[0072] Furthermore, the unit line acquisition module 12 is also used for:

[0073] Based on the topographic data and rainfall distribution of the target mountain area, the point and area rainfall, runoff, full-storage runoff, infiltration runoff and runoff in multiple small watersheds within the target mountain area are analyzed and calculated.

[0074] Based on the point and area rainfall, full-storage runoff, infiltration runoff, and confluence of multiple small watersheds, the outlet cross-sectional flow and water level processes of the multiple small watersheds are calculated using the water level-discharge method.

[0075] Based on the outlet cross-sectional flow and water level processes of the multiple small watersheds, the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed are calculated.

[0076] Furthermore, the unit line acquisition module 12 is also used for:

[0077] The point and area rainfall of the multiple small watersheds was calculated based on the vertical scoring method.

[0078] Based on the point and area rainfall of the multiple small watersheds, combined with the evaporation and runoff data in the target mountainous area, the full-storage runoff and infiltration runoff of the multiple small watersheds are calculated.

[0079] Calculate the confluence of multiple small watersheds using the unit hydrograph method.

[0080] Furthermore, the traffic data acquisition module 13 is also used for:

[0081] Obtain the water level-discharge relationship curve within the target watershed;

[0082] Based on the water level-discharge relationship curve, the unit line and instantaneous unit line are converted into preliminary flow data;

[0083] Within the current time window, real-time flood hydrological data within the target watershed are collected, and the preliminary flow data is corrected for errors to obtain the flood flow data.

[0084] Furthermore, the flood characteristic prediction module 14 is also used for:

[0085] Based on previous flood monitoring data of the target watershed, a watershed probability forecasting model is constructed;

[0086] The flood flow data is input into the watershed probability forecasting model to obtain the flood probability, flood runoff depth information, flood peak information, peak occurrence time information, and flood process information.

[0087] Furthermore, the influence degree acquisition module 15 is also used for:

[0088] Obtain the structural and material characteristics of the target pipeline protection project;

[0089] Based on the structural and material characteristics, the engineering characteristics are obtained;

[0090] Based on the flood runoff depth information, flood peak information, peak occurrence time information, flood process information, and engineering characteristic information, the degree of damage impact of the flood in the target watershed on the target pipeline protection project is analyzed, and the damage mode analysis results are obtained.

[0091] Furthermore, the analysis and early warning module 16 is also used for:

[0092] Based on the first second-order moment method or the JC method, and the analysis results of the flood probability and the damage mode, the damage probability analysis results are obtained.

[0093] Based on the damage probability analysis results, an early warning is issued for the protection project of the target pipeline.

[0094] The various units and modules included are divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0095] Example 3

[0096] Figure 5 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention, showing a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present invention. Figure 5 The electronic device shown is merely an example and should not be construed as limiting the functionality or scope of the embodiments of the present invention. Figure 5 As shown, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of processors 31 in the electronic device can be one or more. Figure 5 Taking a processor 31 as an example, the processor 31, memory 32, input device 33, and output device 34 in an electronic device can be connected via a bus or other means. Figure 5 Taking the example of a connection between China and Israel via a bus.

[0097] The memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the method for analyzing the damage of flood erosion to pipeline protection engineering in this embodiment of the invention. The processor 31 executes various functional applications and data processing of the computer device by running the software programs, instructions, and modules stored in the memory 32, thereby realizing the aforementioned method for analyzing the damage of flood erosion to pipeline protection engineering.

[0098] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A method for analyzing the damage caused by flood erosion to pipeline protection engineering, characterized in that, The method includes: Determine the target watershed where the target pipeline protection project is located, and the target mountainous area where the target watershed is located; Based on various types of rainfall data within the target mountainous area, the unit hydrograph and instantaneous unit hydrograph of floods in the target watershed are analyzed and evaluated. The flood flow data is obtained by converting the unit line and the instantaneous unit line into flood flow data and correcting errors. Based on the flood flow data, flood characteristics are predicted to obtain flood probability, flood runoff depth information, flood peak information, peak occurrence time information, and flood process information; The engineering characteristic information of the target pipeline protection project is obtained. Based on the flood runoff depth information, flood peak information, peak occurrence time information, flood process information and engineering characteristic information, the degree of damage impact of the flood on the target pipeline protection project is analyzed, and the damage mode analysis results are obtained. Based on the analysis results of the flood probability and the damage mode, a damage probability analysis of the target pipeline protection project is performed to obtain the damage probability analysis results, and an early warning is issued based on the damage probability analysis results. Obtain engineering characteristic information of the target pipeline protection project, and analyze the degree of damage to the target pipeline protection project caused by the flood based on the flood runoff depth information, flood peak information, peak occurrence time information, flood process information, and engineering characteristic information, including: Obtain the structural and material characteristics of the target pipeline protection project; Based on the structural and material characteristics, the engineering characteristics are obtained; Based on the flood runoff depth information, flood peak information, peak occurrence time information, flood process information, and engineering characteristic information, the degree of damage impact of the flood in the target watershed on the target pipeline protection project is analyzed, and the damage mode analysis results are obtained. Based on the flood probability and damage mode analysis results, a damage probability analysis is performed on the target pipeline protection project to obtain damage probability analysis results. Early warning is then issued based on these results, including: Based on the first second-order moment method or the JC method, and the analysis results of the flood probability and the damage mode, the damage probability analysis results are obtained. Based on the damage probability analysis results, an early warning is issued for the protection project of the target pipeline.

2. The method according to claim 1, characterized in that, Based on various types of rainfall data within the target mountainous area, the unit hydrograph and instantaneous unit hydrograph of floods in the target watershed are analyzed and evaluated, including: Based on the topographic data and rainfall distribution of the target mountain area, the point and area rainfall, runoff, full-storage runoff, infiltration runoff and runoff in multiple small watersheds within the target mountain area are analyzed and calculated. Based on the point and area rainfall, full-storage runoff, infiltration runoff, and confluence of multiple small watersheds, the outlet cross-sectional flow and water level processes of the multiple small watersheds are calculated using the water level-discharge method. Based on the outlet cross-sectional flow and water level processes of the multiple small watersheds, the unit hydrograph and instantaneous unit hydrograph of the flood in the target watershed are calculated.

3. The method according to claim 2, characterized in that, Based on the topographic data and rainfall distribution of the target mountain area, and using the water level-discharge method, the point-area rainfall, runoff at full storage, runoff exceeding infiltration, and runoff concentration in multiple small watersheds within the target mountain area are analyzed and calculated, including: The point and area rainfall of the multiple small watersheds was calculated based on the vertical scoring method. Based on the point and area rainfall of the multiple small watersheds, combined with the evaporation and runoff data in the target mountainous area, the full-storage runoff and infiltration runoff of the multiple small watersheds are calculated. Calculate the confluence of multiple small watersheds using the unit hydrograph method.

4. The method according to claim 1, characterized in that, The flood discharge data is obtained by converting the unit hydrograph and instantaneous unit hydrograph into flood discharge data and correcting for errors, including: Obtain the water level-discharge relationship curve within the target watershed; Based on the water level-discharge relationship curve, the unit line and instantaneous unit line are converted into preliminary flow data; Within the current time window, real-time flood hydrological data within the target watershed are collected, and the preliminary flow data is corrected for errors to obtain the flood flow data.

5. The method according to claim 1, characterized in that, Based on the flood discharge data, flood characteristic prediction is performed to obtain flood probability, flood runoff depth information, flood peak information, peak occurrence time information, and flood process information, including: Based on previous flood monitoring data of the target watershed, a watershed probability forecasting model is constructed; The flood flow data is input into the watershed probability forecasting model to obtain the flood probability, flood runoff depth information, flood peak information, peak occurrence time information, and flood process information.

6. A system for analyzing the damage caused by flood erosion to pipeline protection works, characterized in that, The system is used to perform the method according to any one of claims 1-5, the system comprising: The pipeline protection project location acquisition module is used to determine the target watershed where the target pipeline protection project is located, and the target mountainous area where the target watershed is located; The unit line acquisition module is used to analyze and evaluate the unit line and instantaneous unit line of floods in the target watershed based on multiple types of rainfall data in the target mountainous area. The flow data acquisition module is used to convert the unit line and the instantaneous unit line into flood flow data, and to perform error correction to obtain flood flow data; The flood characteristic prediction module is used to predict flood characteristics based on the flood flow data, and obtain flood probability, flood runoff depth information, flood peak information, peak occurrence time information and flood process information; The impact degree acquisition module is used to acquire the engineering characteristic information of the target pipeline protection project, and analyze the degree of damage impact of the flood on the target pipeline protection project based on the flood runoff depth information, flood peak information, peak occurrence time information, flood process information and engineering characteristic information, and obtain the damage mode analysis results. The analysis and early warning module is used to perform damage probability analysis on the target pipeline protection project based on the flood probability and the damage mode analysis results, obtain the damage probability analysis results, and issue an early warning based on the damage probability analysis results.

7. An electronic device, characterized in that, The electronic device includes: Memory, used to store executable instructions; The processor, when executing executable instructions stored in the memory, implements the method for analyzing the damage of flood erosion to pipeline protection engineering as described in any one of claims 1 to 5.

8. A computer-readable medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements a method for analyzing the damage to pipeline protection works caused by flood erosion as described in any one of claims 1-5.

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