Method for calculating and identifying key broken drainage pipe section based on flow of broken opening

Abstract

The embodiment of the invention relates to the technical field of pipeline detection, and discloses a method for calculating and identifying a key broken drainage pipe section based on flow of a broken opening, which comprises the following steps: acquiring pipeline information in a corresponding monitoring area in a pipeline database; acquiring pipeline water level information in a corresponding pipeline and underground water level information outside the pipeline, and recording rainfall information within a set time before a pipe network damage detection condition is met; if the water level difference between the pipeline water level information in the corresponding pipeline and the underground water level information outside the corresponding pipeline meets a set condition, determining the fracture points with the fracture heights lower than the pipeline water level information in all the pipeline defect information as candidate fracture points; determining the seepage water yield of each candidate rupture point; and the seepage water yield of the candidate fracture points belonging to the same section of pipeline is accumulated to obtain the total seepage water yield of the corresponding pipeline, and data processing is performed on the total seepage water yield according to a set evaluation strategy. According to the scheme of the embodiment of the invention, the key fracture section can be efficiently determined, and the management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline detection, and in particular to a method for identifying key ruptured drainage pipe sections based on rupture flow calculation. Background Art

[0002] Currently, the amount of wastewater generated by the increasing population density in many cities around the world is increasing, causing more and more negative environmental consequences. As the drainage pipes age and the rate of pipe rupture defects increases, sewage leaks will occur. Without timely operation and maintenance repairs, sewage leakage problems will not only lead to soil and groundwater pollution, but also, due to the infiltration of the rupture, sewage cannot enter the sewage treatment plant in sufficient quantities, resulting in a decrease in its sewage collection rate. Today, the ultimate solution to minimize leakage is to repair the pipes. However, the cost of pipe repair is too high to achieve the ideal level of comprehensive repair.

[0003] The existing methods have the following shortcomings: 1. The existing methods only calculate the water flow of the broken pipe section in the air, ignoring the soil properties through which the leaking water flows. Few studies have shown that it is difficult to accurately calculate the infiltration flow under unsaturated soil conditions. 2. In response to the problem of low sewage collection rate in sewage treatment plants, the methods of manually detecting the rupture point and simulating the flow difference by modeling the entire pipeline are time-consuming and labor-intensive, and the method has poor transferability, and the pipeline models involved need to be constantly maintained and corrected. Therefore, designing a method that can assist in the determination of pipeline ruptures has become a technical problem that needs to be urgently solved by those skilled in the art. Summary of the invention

[0004] In response to the above-mentioned defects, an embodiment of the present invention discloses a method for identifying key ruptured drainage pipe sections based on rupture flow calculation, which can accurately identify pipelines that affect sewage discharge and perform maintenance in a timely manner.

[0005] The first aspect of the embodiment of the present invention discloses a method for identifying key ruptured drainage pipe sections based on rupture flow calculation, comprising:

[0006] When it is detected that the pipeline damage detection conditions are met, the pipeline information in the corresponding monitoring area in the pipeline database is obtained, and the pipeline information includes the rupture point information and the pipeline soil environment;

[0007] Obtain the pipeline water level information in the corresponding pipeline and the groundwater level information outside the pipeline, and record the rainfall information within the set time before the pipeline damage detection conditions are met; if the water level difference between the pipeline water level information in the corresponding pipeline and the groundwater level information outside the pipeline meets the set conditions, determine the rupture points in all the pipeline defect information whose rupture height is lower than the pipeline water level information as candidate rupture points;

[0008] Determine the seepage water volume of each candidate rupture point according to the rupture point information of the candidate rupture point, the pipeline soil environment associated with the rupture point information, the pipeline water level information and the groundwater level information;

[0009] The seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of the corresponding pipeline, the total seepage outflow is processed according to the set evaluation strategy, and the corresponding data processing result is output.

[0010] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of the corresponding pipeline, the total seepage outflow is processed according to the set evaluation strategy, and the corresponding data processing result is output, including:

[0011] The seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of each monitoring pipeline;

[0012] Determine the monitoring pipelines whose total seepage outflow exceeds the set value, then determine the monitoring pipelines whose total seepage outflow exceeds the set value as key defective sections, and output the corresponding key defective sections.

[0013] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of the corresponding pipeline, the total seepage outflow is processed according to the set evaluation strategy, and the corresponding data processing result is output, including:

[0014] The seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of each monitoring pipeline;

[0015] The total seepage outflow of each monitoring pipeline is compared to sort the total seepage outflow from high to low according to the numerical value, and the monitoring pipeline with the highest ranking is determined as the key defective section.

[0016] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of the corresponding pipeline, the total seepage outflow is processed according to the set evaluation strategy, and the corresponding data processing result is output, including:

[0017] The seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of each monitoring pipeline, and the total seepage outflow in the monitoring area is determined;

[0018] Compare the total seepage water outflow of each monitoring pipeline to sort the total seepage water outflow in descending order of value, and determine the critical defect section according to the evaluation calculation formula; the evaluation calculation formula is: Among them, α is the proportionality coefficient, t i is the seepage water outflow of the corresponding candidate rupture point, i is the sorting serial number, T is the total seepage water outflow, when α > 70%, then determine the actual sorting serial number of i.

[0019] As an optional implementation manner, in the first aspect of the embodiments of the present invention, determining the seepage water outflow of each candidate rupture point according to the rupture point information of the candidate rupture point, the pipeline soil environment associated with the rupture point information, the pipeline water level information and the groundwater level information includes:

[0020] Compare the rupture point height of the candidate rupture point with the groundwater level information in the vertical direction. If the rupture point height is greater than the groundwater level information in the vertical direction, then determine the influence radius of the rupture point according to the rupture point information;

[0021] Input the rupture point information, the influence radius of the rupture point, the pipeline water level information and the groundwater level information into a pre-constructed first pipeline seepage formula for calculation to obtain the seepage water outflow of the corresponding candidate rupture point. Among them, the first pipeline seepage formula is:

[0022] Q is the seepage water outflow, G is the geometric figure coefficient, k is the saturated permeability coefficient, r0 is the rupture point radius, R is the influence radius of the corresponding rupture point, h groundwater is the corresponding groundwater level information, h pipe is the pipeline water level information;

[0023] If the rupture point height is lower than the groundwater level information in the vertical direction, obtain the cumulative rainfall information within the set time range, and determine the water content level of the soil according to the cumulative rainfall information;

[0024] Determine the unsaturated permeability coefficient under the current conditions according to the water content level of the soil, the pipeline soil environment associated with the rupture point information, and the set soil parameter - grading mapping table;

[0025] Calculate the seepage water outflow of the corresponding candidate rupture point according to the rupture point information, the influence radius of the rupture point, the pipeline water level information, the groundwater level information, the unsaturated permeability coefficient under the current conditions, and the second pipeline seepage formula. Among them, the second pipeline seepage formula is:

[0026] Among them, Q is the seepage water outflow, G is the geometric figure coefficient, k vgis the unsaturated permeability coefficient, r0 is the radius at the rupture point, R is the radius of influence of the corresponding rupture point, and h pipe is the water head height inside the pipe.

[0027] As an alternative implementation, in the first aspect of the embodiments of the present invention, determining the unsaturated permeability coefficient under current conditions according to the water content level of the soil, the pipeline soil environment associated with the rupture point information, and the set soil parameter - classification mapping table includes:

[0028] Determining the corresponding residual volumetric water content θ according to the water content level of the soil, the pipeline soil environment associated with the rupture point information, and the set soil parameter - classification mapping table r , saturated volumetric water content θ s and saturated permeability coefficient K s , fitting coefficient n;

[0029] Taking the maximum value of the corresponding grade interval of the water content level of the soil as the soil volumetric water content θ during the calculation period;

[0030] And inputting the soil volumetric water content θ during the calculation period, residual volumetric water content θ r , saturated volumetric water content θ s and saturated permeability coefficient K s , fitting coefficient n into the pre - constructed unsaturated permeability formula to calculate the corresponding unsaturated permeability coefficient. The unsaturated permeability formula is:

[0031]

[0032] K vg = K s Φ 0.5 [1 - (1 - Φ 1 / m ) m 2

[0033] where Φ is the effective saturation, θ is the soil volumetric water content during the calculation period, h is the matric potential, α, m, n are the corresponding fitting coefficients, θ r is the residual volumetric water content, θ s is the saturated volumetric water content, K s is the saturated permeability coefficient, and K vg is the permeability coefficient corresponding to θ.

[0034] As an alternative implementation, in the first aspect of the embodiments of the present invention, the pipeline information is used to collect data on the internal state of the pipeline through image acquisition, and a pipeline database is constructed based on the collected results. The pipeline database includes the length position of the pipe section where the rupture is located, the wall height where the rupture is located, the estimated area information of the rupture, and the soil conditions around the rupture point.​

[0035] In the second aspect of the embodiments of the present invention, a system for identifying key ruptured drainage pipe segments based on the calculation of the flow rate at the rupture opening is disclosed, including:

[0036] The first acquisition module: used to acquire the pipe information in the corresponding monitoring area in the pipe database when it is detected that the pipe network damage detection condition is met, where the pipe information includes rupture point information and the pipe soil environment;

[0037] The second acquisition module: used to acquire the pipe water level information inside the corresponding pipe and the groundwater level information outside the pipe, and record the rainfall information within a set time before the pipe network damage detection condition is met; if the water level difference between the pipe water level information inside the corresponding pipe and the groundwater level information outside the pipe meets the set condition, then determine the rupture points with a rupture height lower than the pipe water level information among all the pipe defect information as candidate rupture points;

[0038] The determination module: used to determine the seepage water outflow of each candidate rupture point according to the rupture point information of the candidate rupture point, the pipe soil environment associated with the rupture point information, the pipe water level information, and the groundwater level information;

[0039] The matching module: used to accumulate the seepage water outflows of the candidate rupture points belonging to the same pipe segment to obtain the total seepage water outflow of the corresponding pipe, perform data processing on the total seepage water outflow according to the set evaluation strategy, and output the corresponding data processing result.

[0040] In the third aspect of the embodiments of the present invention, an electronic device is disclosed, including: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the method for identifying key ruptured drainage pipe segments based on the calculation of the flow rate at the rupture opening disclosed in the first aspect of the embodiments of the present invention.

[0041] In the fourth aspect of the embodiments of the present invention, a computer-readable storage medium is disclosed, which stores a computer program, where the computer program enables a computer to execute the method for identifying key ruptured drainage pipe segments based on the calculation of the flow rate at the rupture opening disclosed in the first aspect of the embodiments of the present invention.

[0042] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0043] In the embodiments of the present invention, there is no need to model the entire area of the drainage pipe segments to simulate the changes in flow rate / pollutant concentration. Instead, the seepage water outflow of each candidate rupture point is determined according to the relevant information of the candidate rupture point, realizing the quantitative analysis of the seepage situation of each possible rupture point. This helps to evaluate the severity of each rupture point and provides more specific data support for subsequent repair decisions. For example, the rupture points with a large seepage water outflow can be repaired preferentially.

[0044] Accumulate the seepage water volume flowing out from the candidate rupture points of the same section of pipeline to obtain the total seepage water volume, which can comprehensively understand the damage degree of this section of pipeline. Through this quantitative method, managers can more intuitively judge the damage situation of the pipeline, so as to reasonably arrange maintenance resources and formulate maintenance plans. Brief Description of the Drawings

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0046] Figure 1 is a schematic flowchart of a method for identifying key ruptured drainage pipe sections based on the calculation of the rupture orifice flow rate disclosed in the embodiments of the present invention;

[0047] Figure 2 is a schematic flowchart of determining the seepage water volume disclosed in the embodiments of the present invention;

[0048] Figure 3 is a specific flowchart of a method for identifying key ruptured drainage pipe sections based on the calculation of the rupture orifice flow rate disclosed in the embodiments of the present invention;

[0049] Figure 4 is a schematic flowchart of rupture calculation disclosed in the embodiments of the present invention;

[0050] Figure 5 is a schematic diagram of two states of water outflow caused by the rupture of a drainage pipe disclosed in the embodiments of the present invention;

[0051] Figure 6 is a schematic structural diagram of a system for identifying key ruptured drainage pipe sections based on the calculation of the rupture orifice flow rate provided by the embodiments of the present invention;

[0052] Figure 7 is a schematic structural diagram of an electronic device provided by the embodiments of the present invention. Detailed Embodiments

[0053] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0054] It should be noted that the terms "first", "second", "third", "fourth", etc. in the description and claims of the present invention are used to distinguish different objects, rather than to describe a specific order. The terms "including" and "having" in the embodiments of the present invention and any variations thereof are intended to cover non-exclusive inclusion. Exemplarily, a process, method, system, product or device including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0055] Currently, there are mainly the following several methods for calculating the outflow rate caused by the rupture of drainage pipes in the industry: Orifice flow model: Based on Torricelli's formula, it is assumed that water flows directly from the rupture into the air, but the influence of the surrounding soil is ignored. Darcy's law: Based on the infiltration characteristics of the soil, especially in saturated and unsaturated soils, Darcy's law is used to calculate the flow rate. Leakage factor method: A leakage coefficient simplified model (such as the KL factor) is used to describe the outflow of water from the rupture point, which is suitable for simplified calculations. It cannot accurately describe complex soil characteristics and has limited applicability. Numerical simulation method: Tools such as CFD (Computational Fluid Dynamics) are used to simulate the seepage process caused by complex soil and pipe rupture. Some studies have linked unsaturated flow transport models with existing groundwater numerical models. However, such methods require model construction and lack the convenient form of intuitive calculation formulas.

[0056] Regarding the problem of finding the location of key ruptured drainage pipe segments, there are mainly the following methods: manual exploration to find the rupture points. This method is labor-consuming and time-consuming. Some studies have proposed monitoring the water quality characteristic factors of the inspection wells in the pipe network and combining with the geographical information system of the pipe network and pollution sources to analyze the groundwater leakage volume and damage degree of the sewage pipe segments. For example, using acesulfame potassium as the water quality characteristic factor of domestic sewage, the spatial distribution of the groundwater leakage volume of the sewage pipe network system in the service area of a sewage treatment plant was analyzed, and the severely damaged positions of the pipe network were identified. Such methods not only require the construction of a model for the entire drainage system, but also require the construction of water quality monitoring equipment at the pipe network nodes, which is more complex and expensive than the measurement of flow rate and velocity. The water balance analysis method estimates the original sewage volume entering the drainage system based on the water consumption data in the service area, calculates the water volume change situation of the pipeline system from the difference between the total sewage volume and the original sewage volume in the system service area, and thus determines the pipe segment defects in the area. However, this method cannot obtain the specific leakage water volume close to the actual situation, and can only delimit the general pipe segment range, and it is still difficult to find the key pipe segments or the pipe segments that urgently need operation and maintenance. The embodiments of the present invention disclose a method, system, electronic device and storage medium for identifying key ruptured drainage pipe segments based on the calculation of the rupture port flow rate. By determining the seepage water volume of each candidate rupture point according to the relevant information of the candidate rupture points, a quantitative analysis of the seepage situation of each possible rupture point is realized. This helps to evaluate the severity of each rupture point and provides more specific data support for subsequent maintenance decisions. For example, the rupture points with large seepage water volume can be repaired preferentially. Adding up the seepage water volumes of the candidate rupture points of the same section of pipeline to obtain the total seepage water volume can comprehensively understand the damage degree of this section of pipeline. Through this quantitative method, managers can more intuitively judge the damage situation of the pipeline, so as to reasonably arrange maintenance resources and formulate maintenance plans.

[0057] Embodiment 1

[0058] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of the method for identifying key ruptured drainage pipe segments based on the calculation of the rupture port flow rate disclosed in the embodiments of the present invention. Among them, the execution subject of the method described in the embodiments of the present invention is an execution subject composed of software or / and hardware. This execution subject can receive relevant information through wired or / and wireless means and can send certain instructions. Of course, it can also have certain processing functions and storage functions. This execution subject can control multiple devices, such as remote physical servers or cloud servers and related software, or it can be a local host or server and related software that performs relevant operations on the devices placed somewhere. In some scenarios, it can also control multiple storage devices, and the storage devices can be placed in the same place or different places as the devices. As Figure 1 shown, the method for identifying key ruptured drainage pipe segments based on the calculation of the rupture port flow rate includes the following steps:

[0059] S101: When it is detected that the pipeline network breakage detection conditions are met, obtain the pipeline information in the corresponding monitoring area in the pipeline database, where the pipeline information includes break point information and pipeline soil environment;

[0060] S102: Obtain the pipeline water level information inside the corresponding pipeline and the groundwater level information outside the pipeline, and record the rainfall information within a set time before the pipeline network breakage detection conditions are met; if the water level difference between the pipeline water level information inside the corresponding pipeline and the groundwater level information outside the pipeline meets the set conditions, then determine the break points with a break height lower than the pipeline water level information among all the pipeline defect information as candidate break points;

[0061] S103: Determine the seepage water outflow of each candidate break point according to the break point information of the candidate break point, the pipeline soil environment associated with the break point information, the pipeline water level information, and the groundwater level information;

[0062] S104: Accumulate the seepage water outflows of the candidate break points belonging to the same section of pipeline to obtain the total seepage water outflow of the corresponding pipeline, perform data processing on the total seepage water outflow according to the set evaluation strategy, and output the corresponding data processing result.

[0063] The solution of the embodiment of the present invention can quickly determine the break points with a break height lower than the pipeline water level among all the pipeline defect information by obtaining the water level information inside and outside the pipeline and the rainfall information, and comparing whether the water level difference meets the set conditions. Compared with the traditional comprehensive inspection method, this method greatly reduces the scope that needs to be further detected and analyzed, and improves the accuracy of break point positioning. Considering factors such as break point information and pipeline soil environment to determine candidate break points makes the positioning result more accurate. Because different soil environments may have different impacts on pipeline breakage, by combining these factors, the position of the break point can be judged more precisely.

[0064] The data processing result output by the embodiment of the present invention can provide a strong basis for decisions such as pipeline maintenance and replacement. For example, if the total seepage water outflow exceeds a certain threshold, it indicates that the pipeline is severely damaged and may require immediate large-scale maintenance or replacement; if the seepage water outflow is small, the appropriate time for maintenance can be selected according to the actual situation, thereby improving the management efficiency and economic benefits of the pipeline system.

[0065] The solution of the embodiment of the present invention obtains information from the pipeline database, which is convenient for combining with the existing pipeline management system, and has good compatibility and scalability. It can be easily integrated into the overall management platform of the urban drainage system to achieve data sharing and collaborative work, and improve the management level of the entire drainage system. This method takes into account various actual factors, such as pipeline water level, groundwater level, rainfall, and pipeline soil environment, etc., and can adapt to the identification of broken drainage pipe segments under different geographical environments, climatic conditions, and pipeline materials, etc., with strong generality and adaptability. When implementing specifically, the corresponding seepage results can also be saved, and then the seepage results over a continuous period of time can be totaled, so that potential risk points can be discovered in a timely manner.

[0066] More preferably, adding up the seepage water volumes of the candidate break points belonging to the same section of pipeline to obtain the total seepage water volume of the corresponding pipeline, performing data processing on the total seepage water volume according to the set evaluation strategy, and outputting the corresponding data processing results, including:

[0067] Adding up the seepage water volumes of the candidate break points belonging to the same section of pipeline to obtain the total seepage water volume of each monitored pipeline;

[0068] Determining the monitored pipelines whose total seepage water volume exceeds the set value among the total seepage water volumes of each monitored pipeline, and then determining the monitored pipelines with the total seepage water volume exceeding the set value as the key defect sections, and outputting the corresponding key defect sections.

[0069] The embodiment of the present invention realizes the quantitative evaluation of the damage degree of each section of monitored pipeline by adding up the seepage water volumes of the candidate break points to obtain the total seepage water volume. Compared with simply judging whether there is a break point, this quantitative method can more accurately reflect the actual damage situation of the pipeline, and helps to evaluate the impact degree of the pipeline damage on the entire drainage system. Comparing the total seepage water volume with the set value provides a clear quantitative standard for judging whether the pipeline is a key defect section. Different pipeline systems can formulate corresponding set values according to their design standards, operation requirements, and actual situations, making the evaluation more scientific and targeted, and being able to adapt to various complex pipeline network environments and operation conditions.

[0070] The data processing results of the key defect segments output by the embodiments of the present invention provide intuitive and accurate decision-making basis for pipeline network managers. Managers can reasonably allocate maintenance resources and formulate more scientific maintenance plans based on this information. For example, for multiple key defect segments, the maintenance sequence and maintenance force can be reasonably arranged according to the size of the seepage water volume and the degree of impact on the surrounding environment. By continuously monitoring and analyzing the total seepage water volume and the changes of key defect segments, it can also predict the operation risks of the pipeline network. If the total seepage water volume of a certain section of pipeline gradually approaches or exceeds the set value, it indicates that the damage of the pipeline may be intensifying, and measures need to be taken in advance, such as strengthening monitoring and preparing maintenance materials, to prevent more serious failures and accidents.

[0071] More preferably, adding the seepage water volumes of the candidate rupture points belonging to the same section of pipeline to obtain the total seepage water volume of the corresponding pipeline, and performing data processing on the total seepage water volume according to the set evaluation strategy, and outputting the corresponding data processing results, including:

[0072] Adding the seepage water volumes of the candidate rupture points belonging to the same section of pipeline to obtain the total seepage water volume of each monitored pipeline;

[0073] Comparing the data of the total seepage water volume of each monitored pipeline to sort the total seepage water volume from high to low, and determining the monitored pipelines with the top rankings as key defect segments. By sorting the total seepage water volume in the embodiments of the present invention, the monitored pipelines with large seepage water volume can be quickly determined as key defect segments, enabling maintenance personnel to focus on the most severely damaged pipeline segments and avoiding wasting resources on a large number of normal or slightly defective pipeline segments. Sorting the total seepage water volume can intuitively show the differences in the damage degrees of each monitored pipeline. Managers can clearly understand which pipelines have more serious leakage and which are relatively less serious, providing intuitive data support for formulating maintenance plans; based on the sorting results, hierarchical management of pipelines can be carried out. For key defect segments with extremely large seepage water volume, maintenance can be arranged immediately; for pipeline segments with relatively small seepage water volume but still having problems, maintenance can be carried out at an appropriate time according to the actual situation, realizing the reasonable allocation of resources.

[0074] More preferably, adding the seepage water volumes of the candidate rupture points belonging to the same section of pipeline to obtain the total seepage water volume of the corresponding pipeline, and performing data processing on the total seepage water volume according to the set evaluation strategy, and outputting the corresponding data processing results, including:

[0075] Adding the seepage water volumes of the candidate rupture points belonging to the same section of pipeline to obtain the total seepage water volume of each monitored pipeline, and determining the total seepage water volume within the monitored area;

[0076] Compare the total seepage water volume of each monitoring pipeline to sort the total seepage water volume from high to low, and determine the key defect section according to the evaluation calculation formula; the evaluation calculation formula is: where α is the proportionality coefficient, t i is the seepage water volume of the corresponding candidate rupture point, i is the sorting serial number, T is the total seepage water volume, and when α > 70%, the actual sorting serial number of i is determined.

[0077] Since there are at least two special cases when implementing specifically: the first is that the leakage of a certain pipeline in a pipeline is greater than the sum of the leaks of all other rupture points. In this case, actually outputting multiple has no practical effect, and only the information of the rupture point ranked first needs to be output; the second is that the sizes of the overall leakage ports in a pipeline are relatively average, and the above information can be marked substantially, which is convenient for subsequent specific defect level classification and for maintenance personnel to conduct investigations according to the actual situation.

[0078] More preferably, determining the seepage water volume of each candidate rupture point according to the rupture point information of the candidate rupture point, the pipeline soil environment associated with the rupture point information, the pipeline water level information, and the groundwater level information includes:

[0079] S1031: Compare the rupture point height of the candidate rupture point with the groundwater level information in the vertical direction. If the rupture point height is greater than the groundwater level information in the vertical direction, the influence radius of the rupture point will be determined according to the rupture point information;

[0080] S1032: Input the rupture point information, the influence radius of the rupture point, the pipeline water level information, and the groundwater level information into a pre-constructed first pipeline seepage formula for calculation to obtain the seepage water volume of the corresponding candidate rupture point. Among them, the first pipeline seepage formula is:

[0081] Q is the seepage water volume, G is the geometric shape coefficient, k is the saturated permeability coefficient, r0 is the rupture point radius, R is the influence radius of the corresponding rupture point, h groundwater is the corresponding groundwater level information, h pipe is the pipeline water level information;

[0082] The seepage field is considered to be a sphere in this article. However, if due to the limitation of the local geometric shape (such as the pipeline wall or other boundaries), the fluid discharge only extends to a part of the sphere, it is necessary to multiply by the geometric factor G to simulate the actual seepage area. When using the model for verification, it is found that when When the model has the best agreement with the CFD simulation results, during specific implementation, G can be determined according to the above formula. It may also need to be adjusted according to the actual geometric conditions and experimental results.

[0083] S1033: If the height of the rupture point is lower than the groundwater level information in the vertical direction, obtain the cumulative rainfall information within a set time range, and determine the water content level of the soil according to the cumulative rainfall information;

[0084] S1034: Determine the unsaturated hydraulic conductivity under the current conditions according to the water content level of the soil, the pipeline soil environment associated with the rupture point information, and the set soil parameter - classification mapping table;

[0085] S1035: Calculate the seepage discharge of the corresponding candidate rupture point according to the rupture point information, the influence radius of the rupture point, the pipeline water level information, the groundwater level information, the unsaturated hydraulic conductivity under the current conditions, and the second pipeline seepage formula, where the second pipeline seepage formula is:

[0086] where Q is the seepage discharge, G is the geometric shape coefficient, k vg is the unsaturated hydraulic conductivity, r0 is the radius of the rupture point, R is the influence radius of the corresponding rupture point, h pipe is the water head height in the pipe.

[0087] In the embodiment of the present invention, the external flow field is simulated as spherically symmetric, and the rupture hole is used as a water tank at the center. The outer boundary of the flow field is approximately a spherical surface with a radius of R, and the sink point of the flow field is at the rupture opening, and this radius will be determined in the subsequent simulation process. When the aquifer range is very large, the seepage of groundwater around the orifice is close to steady flow. At this time, the cross - sectional area of the seepage flow towards the orifice becomes a series of spherical surfaces such as Figure 4 .

[0088] Specifically, the volume conservation equation for the steady - state flow of an incompressible fluid in a homogeneous and isotropic porous medium is as follows: Therefore, it can be determined that the total volume flow rate is obtained by multiplying the unit flow rate by the area of the sphere through which the flow passes.

[0089] The cross - sectional area of the flow - through section is: A = 4πr 2

[0090] The average flow velocity of this seepage cross - section is:

[0091] The average flow rate of this seepage cross - section is:

[0092] If the flow rate is restricted to only a part of the sphere due to local geometry (such as the pipe wall or other boundaries), the geometric coefficient G needs to be included: That is

[0093] In the embodiment of the present invention, the concept of the influence radius is introduced. With the orifice as the center of the sphere, there is a flow field with a radius of R. The fluid in this flow field flows out from the orifice and converges towards the (center of the sphere). In the area outside the range of R, the flow of groundwater is hardly affected. Therefore, for the outermost flow cross-section with a radius of R, the piezometric head is approximately the height of the groundwater surface. Therefore, with the horizontal plane passing through the centroid of the orifice as the reference plane, the total head of the outermost flow cross-section can be approximately the height from the groundwater surface. The influence radius here can be determined according to the diffusion situation of the actual seepage field.

[0094] In the embodiment of the present invention, when sewage flows out from the rupture of the drainage pipe to the soil, two different pipe boundary conditions need to be considered. Case 1: The water levels inside and outside the pipe are both higher than the reference plane (the reference plane is a plane parallel to the ground passing through the centroid of the rupture), but the groundwater level outside the pipe is lower than the water level inside the pipe, as shown in Figure 5 the left figure. h pipe is the height of the water in the drainage pipe based on the reference plane. Therefore, integrate from (R, h groundwater ) to the orifice (r0, h pipe ).

[0095] From

[0096] we get

[0097]

[0098] Case 2: When the groundwater level is lower than the reference plane (rupture), but the water level inside the pipe is higher than the groundwater level and higher than the reference plane (the seepage of unsaturated soil needs to be considered), as shown in Figure 5 the right figure. In this case, the orifice is directly connected to the unsaturated soil. The water head at the orifice inside the pipe is the height of the water level inside the pipe h pipe .

[0099] In addition, since the water seeps into the unsaturated soil when flowing out from the orifice, the permeability coefficient has a different value from that in the previous case and will be elaborated separately below (the permeability coefficient of unsaturated soil needs to be considered). The seepage flow through all spherical surfaces is equal to the outflow at the orifice. Therefore, integrate from the farthest point (R, 0) of the spherical flow field to the orifice (r0, h pipe ).

[0100] We get

[0101] More preferably, determining the unsaturated permeability coefficient under current conditions according to the water content level of the soil, the pipeline soil environment associated with the fracture point information, and the set soil parameter - grading mapping table includes:

[0102] Determining the corresponding residual volumetric water content θ according to the water content level of the soil, the pipeline soil environment associated with the fracture point information, and the set soil parameter - grading mapping table r , saturated volumetric water content θ s and saturated permeability coefficient K s , fitting coefficient n;

[0103] Taking the maximum value of the corresponding grade interval of the water content level of the soil as the soil volumetric water content θ during the calculation period;

[0104] And inputting the soil volumetric water content θ during the calculation period, residual volumetric water content θ r , saturated volumetric water content θ s and saturated permeability coefficient K s , fitting coefficient n into the pre - constructed unsaturated permeability formula to calculate the corresponding unsaturated permeability coefficient. The unsaturated permeability formula is:

[0105]

[0106] K vg = K s Φ 0.5 [1 - (1 - Φ 1 / m ) m 2

[0107] where Φ is the effective saturation, θ is the soil volumetric water content during the calculation period, h is the matric potential, α, m, n are the corresponding fitting coefficients, θ r is the residual volumetric water content, θ s is the saturated volumetric water content, K s is the saturated permeability coefficient, K vg is the permeability coefficient corresponding to θ.

[0108] To conveniently and quickly find the permeability coefficients corresponding to different soil data, the embodiments of the present invention classify the soil into 4 types: sandy soil, loam soil, silt, and clay. And according to the determined four types of soil, the residual volumetric water content, saturated volumetric water content, and permeability coefficient parameters of the four types of soil are obtained. For convenient calculation, the water content is divided into three levels, as shown in Table 1 below:

[0109]

[0110] Table 1: Different soil parameters and gradings

[0111] ​In the embodiments of the present invention, the division of different levels of water content is obtained by equally dividing the middle section between the saturated volume water content and the residual volume water content. The standard for determining the soil water content is based on the delineation of rainfall levels, and the specific rules are as follows:

[0112] The standard for determining that the soil has a low water content is: taking the moment when the low sewage collection rate is found as the 0 moment, within 24 hours before the 0 moment, the cumulative rainfall is less than or equal to 10 mm.

[0113] The standard for determining that the soil has a medium water content is: taking the moment when the low sewage collection rate is found as the 0 moment, within 24 hours before the 0 moment, the cumulative rainfall is less than or equal to 50 mm.

[0114] The standard for determining that the soil has a high water content is: taking the moment when the low sewage collection rate is found as the 0 moment, within 24 hours before the 0 moment, the cumulative rainfall is greater than 50 mm.

[0115] After determining the water content level, substituting the maximum value of this water content range into the VG model for calculation, the corresponding unsaturated hydraulic conductivity can be obtained. Subsequently, substitute the unsaturated hydraulic conductivity and other information such as the water levels inside and outside the pipe and the size and location of the rupture opening into the flow velocity calculation formula.

[0116] The specific calculation example is as follows: When the pipe section with a rupture defect is located in a sandy soil area, taking the moment when the low sewage collection rate is found as the 0 moment, within 24 hours before the 0 moment, the cumulative rainfall is 40 mm, then it is regarded as having a medium water content. Therefore, find the water content value of 0.301 in Table 1. Substitute θ = 0.301 into the above formula, and K vg = 1.19*10 -6 cm / s, which means that when the water content θ is 0.301, the unsaturated hydraulic conductivity is 1.19*10 -6 cm / s.

[0117] More preferably, the pipeline information is used to collect data on the internal state of the pipeline through image acquisition, and a pipeline database is constructed based on the collected results. The pipeline database includes the length and position of the pipe section where the rupture is located, the height of the pipe wall where the rupture is located, the estimated area information of the rupture, and the soil conditions around the rupture point.

[0118] In the embodiments of the present invention, the collected pipeline information is constructed into a database, which facilitates the unified management and storage of a large amount of data, is convenient for querying, calling, and updating at any time, improves the utilization efficiency of data, and avoids data chaos and loss. The pipeline database contains multi-dimensional data such as the length and position of the pipe section where the rupture occurs, the height of the pipe wall where the rupture occurs, the estimated area information of the rupture, and the soil conditions around the rupture point, which can provide a rich data basis for subsequent analysis. For example, the relationship between the rupture incidence rate at different pipe section positions and different pipe wall heights and the soil conditions can be analyzed to find out potential rules and risk factors. Through methods such as CCTV, the internal defect conditions of the pipeline are collected to construct a pipeline rupture defect database (in this dataset, it is necessary to include the length and position of the pipe section where the rupture occurs, the height of the pipe wall where the rupture occurs, and the estimated area information of the rupture). The soil conditions (soil texture, water content) around the pipeline in the monitoring area are collected into the soil database. When the sewage collection rate of the sewage treatment plant is low, the water level h in the pipeline is measured. pipe , and the groundwater level height h outside the pipe groundwater , and the total rainfall situation within 24 hours before the event is recorded.

[0119] In the existing solutions, little consideration is given to the influence factor of soil water content characteristics in the calculation process of the outflow flow caused by pipeline rupture. In the process of discussing and analyzing various situations in the solution of this application, attention is paid to the influence of different water contents on seepage, so the unsaturated permeability coefficient is incorporated into the calculation.

[0120] The existing solutions use the numerical simulation method to connect the unsaturated flow transport model with the existing groundwater numerical model. However, such methods require model construction and lack the simple form of intuitive calculation formulas. This study provides an intuitive calculation method. Just substitute the obtained numerical values into the formula to get the corresponding outflow, which simplifies the modeling process.

[0121] Regarding the problem of finding the severely damaged positions of the pipe network, some studies have proposed to monitor the water quality characteristic factors of the pipe network inspection wells and combine the pipe network and the geographical information system of pollution sources to analyze the groundwater leakage volume and damage degree of the sewage pipe sections. For example, acesulfame potassium is used as the water quality characteristic factor of domestic sewage to analyze the spatial distribution of the groundwater leakage volume of the sewage pipe network system in the service area of a certain sewage treatment plant and identify the severely damaged positions of the pipe network. Such methods not only require model construction of the entire drainage system, but also require the construction of water quality monitoring equipment at the pipe network nodes, which is more complex and expensive than the measurement of specific discharge and flow velocity. This study quantifies the flow rate of the drainage pipeline rupture into a numerical form, and through the intuitive sorting of the numerical values, the severely damaged pipe sections of the pipe network can be identified.

[0122] In the embodiments of the present invention, it is not necessary to model the entire section of the drainage pipe to simulate the changes in flow rate / pollutant concentration. Instead, the seepage water volume of each candidate rupture point is determined based on the relevant information of the candidate rupture points, realizing the quantitative analysis of the seepage situation of each possible rupture point. This helps to evaluate the severity of each rupture point and provides more specific data support for subsequent repair decisions. For example, the rupture points with a large seepage water volume can be repaired preferentially.

[0123] Accumulating the seepage water volumes of the candidate rupture points in the same section of the pipeline to obtain the total seepage water volume can help to understand the damage degree of this section of the pipeline as a whole. Through this quantitative method, the manager can more intuitively judge the damage situation of the pipeline, so as to reasonably arrange maintenance resources and formulate maintenance plans.

[0124] Embodiment 2

[0125] Please refer to Figure 6 , Figure 6 which is a schematic structural diagram of a system for identifying key ruptured drainage pipe sections based on the calculation of the flow rate at the rupture opening disclosed in the embodiments of the present invention. As Figure 6 shown, the system for identifying key ruptured drainage pipe sections based on the calculation of the flow rate at the rupture opening may include:

[0126] The first acquisition module 21: used to acquire the pipeline information in the corresponding monitoring area in the pipeline database when it is detected that the pipeline network damage detection condition is met, where the pipeline information includes rupture point information and pipeline soil environment;

[0127] The second acquisition module 22: used to acquire the pipeline water level information inside the corresponding pipeline and the groundwater level information outside the pipeline, and record the rainfall information within a set time before the pipeline network damage detection condition is met; if the water level difference between the pipeline water level information inside the corresponding pipeline and the groundwater level information outside the pipeline meets the set condition, then the rupture points with a rupture height lower than the pipeline water level information among all the pipeline defect information are determined as candidate rupture points;

[0128] The determination module 23: used to determine the seepage water volume of each candidate rupture point according to the rupture point information of the candidate rupture point, the pipeline soil environment associated with the rupture point information, the pipeline water level information, and the groundwater level information;

[0129] The matching module 24: used to accumulate the seepage water volumes of the candidate rupture points belonging to the same section of the pipeline to obtain the total seepage water volume of the corresponding pipeline, perform data processing on the total seepage water volume according to the set evaluation strategy, and output the corresponding data processing result.

[0130] In the embodiments of the present invention, it is not necessary to model the entire section of the drainage pipe to simulate the changes in flow rate / pollutant concentration. Instead, the seepage water volume of each candidate rupture point is determined based on the relevant information of the candidate rupture points, realizing the quantitative analysis of the seepage situation of each possible rupture point. This helps to evaluate the severity of each rupture point and provides more specific data support for subsequent maintenance decisions. For example, the rupture points with a large seepage water volume can be repaired preferentially.

[0131] By accumulating the seepage water volumes of the candidate rupture points in the same section of the pipeline to obtain the total seepage water volume, the damage degree of this section of the pipeline can be understood as a whole. Through this quantitative method, the manager can more intuitively judge the damage situation of the pipeline, so as to reasonably arrange maintenance resources and formulate maintenance plans.

[0132] Embodiment III

[0133] Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of an electronic device disclosed in the embodiments of the present invention. The electronic device can be a computer, a server, etc. Of course, in certain cases, it can also be intelligent devices such as mobile phones, tablet computers, and monitoring terminals, as well as an image acquisition device with processing functions. As Figure 7 shown, the electronic device may include:

[0134] A memory 510 storing executable program code;

[0135] A processor 520 coupled to the memory 510;

[0136] Among them, the processor 520 calls the executable program code stored in the memory 510 and executes some or all of the steps in the method for identifying key ruptured drainage pipe sections based on the flow rate at the rupture opening in Embodiment I.

[0137] The embodiments of the present invention disclose a computer-readable storage medium, which stores a computer program. Among them, the computer program enables a computer to execute some or all of the steps in the method for identifying key ruptured drainage pipe sections based on the flow rate at the rupture opening in Embodiment I.

[0138] The embodiments of the present invention also disclose a computer program product. Among them, when the computer program product runs on a computer, it enables the computer to execute some or all of the steps in the method for identifying key ruptured drainage pipe sections based on the flow rate at the rupture opening in Embodiment I.

[0139] The embodiments of the present invention also disclose an application publishing platform. Among them, the application publishing platform is used to publish a computer program product. Among them, when the computer program product runs on a computer, it enables the computer to execute some or all of the steps in the method for identifying key ruptured drainage pipe sections based on the flow rate at the rupture opening in Embodiment I.

[0140] In various embodiments of the present invention, it should be understood that the magnitudes of the serial numbers of the various processes do not necessarily imply a definite sequence of execution. The execution sequence of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0141] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0142] In addition, in each embodiment of the present invention, the various functional units may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The integrated unit may be implemented in the form of hardware or in the form of a software functional unit.

[0143] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-accessible memory. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, may be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc., specifically, the processor in the computer device) to execute some or all of the steps of the methods described in the various embodiments of the present invention.

[0144] In the embodiments provided by the present invention, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0145] Those of ordinary skill in the art can understand that some or all of the steps in the various methods of the embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The storage medium includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disc memories, tape memories, or any other medium that can be used to carry or store data and is computer-readable.

[0146] The method, system, electronic device, and storage medium for identifying key ruptured drain pipe segments based on the calculation of the flow rate at the rupture opening disclosed in the embodiments of the present invention have been introduced in detail above. Specific examples are used herein to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation on the present invention.

Claims

1. A method for identifying key ruptured drainage pipe sections based on rupture flow calculation, characterized in that: include: When it is detected that the pipeline damage detection conditions are met, the pipeline information in the corresponding monitoring area in the pipeline database is obtained, and the pipeline information includes the rupture point information and the pipeline soil environment; Obtain the pipeline water level information in the corresponding pipeline and the groundwater level information outside the pipeline, and record the rainfall information within the set time before the pipeline damage detection conditions are met; if the water level difference between the pipeline water level information in the corresponding pipeline and the groundwater level information outside the pipeline meets the set conditions, determine the rupture points in all the pipeline defect information whose rupture height is lower than the pipeline water level information as candidate rupture points; Determine the seepage water volume of each candidate rupture point according to the rupture point information of the candidate rupture point, the pipeline soil environment associated with the rupture point information, the pipeline water level information and the groundwater level information; The seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of the corresponding pipeline, the total seepage outflow is processed according to the set evaluation strategy, and the corresponding data processing result is output.

2. The method for identifying key ruptured drainage pipe sections based on rupture flow calculation according to claim 1, characterized in that: The seepage outflow of the candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of the corresponding pipeline, the total seepage outflow is processed according to the set evaluation strategy, and the corresponding data processing result is output, including: The seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of each monitoring pipeline; Determine the monitoring pipelines whose total seepage outflow exceeds the set value, then determine the monitoring pipelines whose total seepage outflow exceeds the set value as key defective sections, and output the corresponding key defective sections.

3. The method for identifying key ruptured drainage pipe sections based on rupture flow calculation according to claim 1, characterized in that: The seepage outflow of the candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of the corresponding pipeline, the total seepage outflow is processed according to the set evaluation strategy, and the corresponding data processing result is output, including: The seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of each monitoring pipeline; The total seepage outflow of each monitoring pipeline is compared to sort the total seepage outflow from high to low according to the numerical value, and the monitoring pipeline with the highest ranking is determined as the key defective section.

4. The method for identifying key ruptured drainage pipe sections based on rupture flow calculation according to claim 3, characterized in that: The seepage outflow of the candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of the corresponding pipeline, the total seepage outflow is processed according to the set evaluation strategy, and the corresponding data processing result is output, including: The seepage outflow of candidate rupture points belonging to the same section of the pipeline is accumulated to obtain the total seepage outflow of each monitoring pipeline, and the total seepage outflow in the monitoring area is determined; The total seepage water outflow of each monitoring pipeline is compared to sort the total seepage water outflow from high to low according to the numerical value, and the corresponding quantity information is determined according to the evaluation calculation formula, and the key defective section is determined; the evaluation calculation formula is: Among them, α is the proportionality coefficient, t i is the seepage water volume of the corresponding candidate rupture point, i is the sorting sequence number, T is the total seepage water volume, and when α>70%, the quantity information corresponding to i is determined.

5. The method for identifying key ruptured drainage pipe sections based on rupture flow calculation according to claim 3, characterized in that: The method of determining the seepage outflow amount of each candidate rupture point according to the rupture point information of the candidate rupture point, the pipeline soil environment associated with the rupture point information, the pipeline water level information and the groundwater level information includes: Compare the rupture point height of the candidate rupture point with the groundwater level information in the vertical direction, and if the rupture point height in the vertical direction is greater than the groundwater level information, determine the influence radius of the rupture point according to the rupture point information; The rupture point information, the influence radius of the rupture point, the pipeline water level information and the groundwater level information are input into the pre-constructed first pipeline seepage formula for calculation to obtain the seepage water volume of the corresponding candidate rupture point, wherein the first pipeline seepage formula is: Q is the seepage water volume, G is the geometric coefficient, k is the saturated permeability coefficient, r0 is the rupture point radius, R is the influence radius of the corresponding rupture point, h groundwater is the corresponding groundwater level information, h pipe It is the pipeline water level information; If the height of the rupture point is lower than the groundwater level information in the vertical direction, the accumulated rainfall information within a set time range is obtained, and the moisture level of the soil is determined according to the accumulated rainfall information; Determine the unsaturated permeability coefficient under current conditions based on the soil moisture grade, the pipeline soil environment associated with the rupture point information, and a set soil parameter-grade mapping table; The seepage water volume of the corresponding candidate rupture point is calculated according to the rupture point information, the influence radius of the rupture point, the pipeline water level information, the groundwater level information, the unsaturated permeability coefficient under the current conditions and the second pipeline seepage formula, wherein the second pipeline seepage formula is: Among them, Q is the seepage water volume, G is the geometric coefficient, k vg is the unsaturated permeability coefficient, r0 is the rupture point radius, R is the influence radius of the corresponding rupture point, h pipe is the water head height in the pipe.

6. The method for identifying key ruptured drainage pipe sections based on rupture flow calculation according to claim 5, characterized in that: The method of determining the unsaturated permeability coefficient under current conditions according to the soil moisture grade, the pipeline soil environment associated with the rupture point information, and the set soil parameter-grading mapping table includes: The corresponding residual volume moisture content θ is determined according to the soil moisture grade, the pipeline soil environment associated with the rupture point information, and the set soil parameter-grading mapping table. r , saturated volume water contentθ s and saturated permeability K s , fitting coefficient n; The maximum value of the soil moisture level corresponding to the grade interval is taken as the soil volume moisture content θ during the calculation period; The soil volume moisture content θ and residual volume moisture content θ during the calculation period are r , saturated volume water contentθ s and saturated permeability K s , the fitting coefficient n is input into the pre-built unsaturated permeability formula to calculate the corresponding unsaturated permeability coefficient, and the unsaturated permeability formula is: K vg =K s F 0.5 [1-(1-Φ 1 / m ) m ] 2 Among them, Φ is the effective saturation, θ is the soil volume water content during the calculation period, h is the matrix potential, α, m, n are the corresponding fitting coefficients, θ r is the residual volume water content, θ s is the saturated volume water content, K s is the saturated permeability coefficient, K vg is the permeability coefficient corresponding to θ.

7. The method for identifying key ruptured drainage pipe sections based on rupture flow calculation according to claim 1, characterized in that: The pipeline information collects data on the internal state of the pipeline by means of image acquisition, and constructs a pipeline database based on the collected results. The pipeline database includes the length position of the pipe section where the rupture is located, the height of the pipe wall where the rupture is located, the estimated area information of the rupture, and the soil conditions around the rupture point.

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