Rainwater system sediment simulation method, device, equipment and storage

Abstract

The invention provides a rainwater system sediment simulation method, device and equipment and storage, and relates to the field of urban drainage system simulation. The method comprises the following steps: constructing a TSS model based on a rainwater system model, obtaining a first TSS concentration output by the TSS model, and checking and adjusting the rainwater system model according to the first TSS concentration and a monitored TSS concentration; historical data of the rainwater system are collected, the historical data are analyzed, and a problem pipeline with the deposition problem in the rainwater system is obtained; acquiring basic data of the problematic pipeline, simulating sediment movement of the problematic pipeline according to the basic data, and calculating a second TSS concentration according to the sediment movement; according to the first TSS concentration, the second TSS concentration and the basic data of the problem pipeline, the boundary condition of the rainwater system model is updated. According to the method, the problem that the sediment simulation accuracy is low due to the fact that the application scene in the prior art is limited and is not close to the actual situation and the dynamic simulation process of the deposition layer is lacked is solved.

Description

Technical Field

[0001] The present application relates to the field of urban drainage system simulation, and in particular to a method, device, equipment and storage for simulating sediment in a rainwater system. Background Art

[0002] Urban drainage systems are responsible for transporting rainwater and sewage. During the transportation process, some pipes with poor hydraulic conditions are prone to sedimentation. Pipe sedimentation, as the most important functional defect, affects the flow capacity of the pipes, thereby limiting the flood discharge capacity of the drainage system and increasing the risk of waterlogging. At the same time, since sedimentation is accompanied by the accumulation of a large amount of pollutants, overflow pollution may occur as it is washed away by rainfall.

[0003] The existing models can simulate the changes in water quality and quantity of the system to a certain extent, but they do not consider the impact of sediments, which will lead to systematic simulation errors in the model and inconsistencies between the model and actual operation in certain rainfall scenarios. At the same time, because pipeline sedimentation involves complex water-sand two-phase flow movement mechanisms, transient flow and other complex physical processes, the simulation of the change process of the sediment layer in the drainage system has been in a blank stage.

[0004] Most of the existing research on drainage system sediments is only applicable to scenarios with permanent sediment layers. It is not applicable to scenarios with continuous sedimentation and erosion changes in reality. The application scenarios are limited, and there is a lack of dynamic simulation process of sediment layers, which leads to the problem of low accuracy of sediment simulation. Summary of the invention

[0005] The present application provides a rainwater system sediment simulation method, device, equipment and storage, which are used to solve the problem of low sediment simulation accuracy in the prior art.

[0006] In a first aspect, the present application provides a method for simulating sediment in a rainwater system, the method comprising:

[0007] A TSS model is constructed based on the rainwater system model to obtain a first TSS concentration output by the TSS model, and the rainwater system model is calibrated and adjusted according to the first TSS concentration and the monitored TSS concentration;

[0008] Collect historical data of the rainwater system, analyze the historical data, and find the problematic pipes in the rainwater system where sedimentation problems occurred;

[0009] Obtain basic data of the problematic pipeline, simulate sediment movement in the problematic pipeline based on the basic data, and calculate a second TSS concentration based on the sediment movement;

[0010] Update the boundary conditions of the stormwater system model based on the first TSS concentration, the second TSS concentration, and the basic data of the problem pipe.

[0011] In one possible design, the boundary conditions of the stormwater system model are updated based on the first TSS concentration, the second TSS concentration, and the basic data of the problem pipe, including:

[0012] The sediment mass change is calculated based on the first TSS concentration, the second TSS concentration and the basic data of the problematic pipeline;

[0013] According to the change of sediment mass, the change of sediment thickness is calculated and used as boundary condition to adjust the stormwater system model.

[0014] In one possible design, the basic data include: pipeline flow rate, pipeline flow rate and monitoring time;

[0015] The sediment quality changes were calculated based on the first TSS concentration, the second TSS concentration and the basic data of the problematic pipeline, including:

[0016] The TSS concentration difference is calculated based on the first TSS concentration and the second TSS concentration, and the pipeline flow rate change value per unit time is calculated based on the pipeline flow rate, pipeline flow rate and monitoring time; wherein the TSS concentration difference is equal to the difference between the first TSS concentration and the second TSS concentration;

[0017] The change in sediment mass was calculated based on the TSS concentration difference and the change in pipeline flow per unit time.

[0018] In one possible design, the basic data also includes: pipeline data and sediment data;

[0019] The sediment movement of the problem pipeline is simulated based on the basic data, and the second TSS concentration is calculated based on the sediment movement, including:

[0020] According to pipeline data and sediment data, sediment movement control equation and sediment transport capacity equation are established respectively;

[0021] The second TSS concentration was calculated based on the sediment movement governing equation and the sediment transport capacity equation.

[0022] In one possible design, the governing equation for sediment movement is:

[0023]

[0024] Among them, ρ s is the wet density of the sediment; A s is the sediment area perpendicular to the water flow direction; A is the flow area of ​​the pipeline; C is the monitored TSS concentration inside the pipeline; Q is the pipeline flow rate; L is the pipeline length;

[0025] The sediment transport capacity equation is:

[0026]

[0027] Among them, C v is the second TSS concentration; V is the pipeline flow rate; g is the gravitational acceleration; d 50 is the median particle size of the sediment; s is the specific gravity of the sand; D * is the dimensionless particle size; R is the hydraulic radius of the pipe; f c is the composite friction coefficient of the pipe.

[0028] In a possible design, the historical data is a collection of historical basic data of all pipes in the stormwater system model; the historical basic data includes: historical flow velocity of the pipe and historical concentration of monitored TSS; the pipe data includes: pipe diameter;

[0029] Analyze historical data to identify problematic pipes in the stormwater system that have experienced sedimentation problems, including:

[0030] According to the preset pipeline flow rate threshold, pipeline diameter threshold and monitored TSS concentration threshold, the pipeline diameter, pipeline historical flow rate and monitored TSS historical concentration of each pipeline are judged to be qualified;

[0031] Pipelines that meet at least one preset condition are identified as problematic pipelines; wherein the multiple preset conditions are: the pipeline diameter is less than the pipeline diameter threshold, the pipeline historical flow rate is less than the pipeline flow rate threshold, and the monitored TSS historical concentration is less than the monitored TSS concentration threshold.

[0032] In one possible design, after updating the boundary conditions of the stormwater system model according to the first TSS concentration, the second TSS concentration, and the basic data of the problem pipe, the method further includes:

[0033] The first TSS concentration, the second TSS concentration and the basic data are updated at every preset update period, thereby updating the boundary conditions of the stormwater system model.

[0034] In a second aspect, the present application provides a rainwater system sediment simulation device, comprising: a model processing device, a data processing device and a model updating device;

[0035] A model processing device, used to construct a TSS model based on the rainwater system model, obtain a first TSS concentration output by the TSS model, and calibrate and adjust the rainwater system model according to the first TSS concentration and the monitored TSS concentration;

[0036] A data processing device, used to collect historical data of the rainwater system, analyze the historical data, and obtain problematic pipes in the rainwater system that have experienced sedimentation problems;

[0037] The data processing device is also used to obtain basic data of the problematic pipeline, simulate sediment movement in the problematic pipeline based on the basic data, and calculate a second TSS concentration based on the sediment movement;

[0038] The model updating device is used to update the boundary conditions of the stormwater system model according to the first TSS concentration, the second TSS concentration and the basic data of the problem pipeline.

[0039] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0040] Memory stores computer-executable instructions;

[0041] When the processor executes the computer-executable instructions stored in the memory, it is used to implement the rainwater system sediment simulation method as claimed in any one of claims 1 to 7.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the rainwater system sediment simulation method as claimed in any one of claims 1 to 7.

[0043] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, is used to implement a rainwater system sediment simulation method according to the invention content of the first aspect.

[0044] The present application provides a method, device, equipment and storage for simulating sediments in a rainwater system. The TSS model is constructed based on the rainwater system model to obtain the first TSS concentration output by the TSS model, and the rainwater system model is verified and adjusted according to the first TSS concentration and the monitored TSS concentration; the historical data of the rainwater system is collected, the historical data is analyzed, and the problematic pipes in the rainwater system where sedimentation problems have occurred are obtained; the basic data of the problematic pipes are obtained, the sediment movement of the problematic pipes is simulated according to the basic data, and the second TSS concentration is calculated according to the sediment movement; the boundary conditions of the rainwater system model are updated according to the first TSS concentration, the second TSS concentration and the basic data of the problematic pipes. Compared with the existing studies on sediments in drainage systems, most of them are only applicable to the scene of permanent sediment layers, and are not applicable to the scene of continuous sedimentation and scouring changes in reality. The application scenarios are limited, and there is a lack of dynamic simulation process of sediment layers, which leads to the problem of low accuracy of sediment simulation. The present application constructs a TSS model of the rainwater system, and couples the sediment motion equation to improve the sediment simulation function, improves the accuracy of sediment simulation, and periodically updates the boundary conditions of the model, further improving the accuracy of sediment simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A schematic diagram of a rainwater system sediment simulation method provided in an embodiment of the present application Figure 1 ;

[0047] Figure 2 A schematic diagram showing a comparison between a TSS simulation value and a TSS measured value obtained according to an embodiment of the present application;

[0048] Figure 3 A schematic diagram of a rainwater system sediment simulation method provided in an embodiment of the present application Figure 2 ;

[0049] Figure 4 A schematic diagram of the geometric relationship of the pipeline deposition layers provided in the embodiment of the present application;

[0050] Figure 5 A schematic diagram of a rainwater system sediment simulation method provided in an embodiment of the present application Figure 3 ;

[0051] Figure 6 A schematic diagram of a rainwater system sediment simulation method provided in an embodiment of the present application Figure 4 ;

[0052] Figure 7 A schematic diagram of the structure of a rainwater system sediment simulation device provided in an embodiment of the present application;

[0053] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0054] Reference numerals:

[0055] 71-model processing device; 72-data processing device; 73-model updating device;

[0056] 80 - electronic device; 81 - processor; 82 - memory; 83 - communication component; 84 - bus. DETAILED DESCRIPTION

[0057] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims, rather than all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0058] In the embodiments of the present application, words such as "first" and "second" are used to distinguish the same or similar items with substantially the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit the difference.

[0059] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way. In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more.

[0060] It should be noted that the "at..." in the embodiment of the present application can be the instant when a certain situation occurs, or can be a period of time after a certain situation occurs, and the embodiment of the present application does not specifically limit this. In addition, the training method for rainwater system sediment simulation provided in the embodiment of the present application is only used as an example, and the rainwater system sediment simulation method can also include more or less content.

[0061] In order to clearly describe the technical solutions of the embodiments of the present application, some terms and technologies involved in the embodiments of the present application are briefly introduced below:

[0062] Storm Water Management Model (SWMM): A comprehensive model for simulating urban stormwater floods, drainage systems, and water quality changes. It is widely used in the planning, analysis, and design of stormwater floods, combined sewers, sewage pipes, and other drainage systems in urban areas, and is also used in non-urban areas.

[0063] Total Suspended Solids (TSS): is the total amount of solid particles suspended in water, which can be inorganic (such as silt, clay, algae, bacteria, etc.) or organic (such as animal and plant debris, feces, humus, etc.). TSS is an important indicator of water quality. High TSS content may affect the transparency, taste, color of water, and may even have adverse effects on human health and aquatic ecosystems.

[0064] PySWMM: Based on the Storm Water Management Model (SWMM) software, it is a secondary development module of Python language. SWMM is a computer model used to simulate urban stormwater runoff, sewage discharge and water quality. It is widely used in stormwater management, flood control and water quality simulation. PySWMM is seamlessly integrated with SWMM5 through Python interface, allowing Python programmers to easily use the functions of SWMM to analyze hydrology and environmental engineering.

[0065] SWMM-API: (Storm Water Management Model Application Programming Interface, SWMM-API) is a set of application programming interfaces for the SWMM model. SWMM-API allows users to programmatically access and operate SWMM functions to optimize the model, customize development, and automate execution.

[0066] In the existing technology, existing open source or commercial models can simulate the changes in water quality and quantity in the system to a certain extent, but do not consider the impact of sediments, which leads to systematic simulation errors in the model and inconsistencies between the model and actual operation under certain rainfall scenarios.

[0067] At the same time, because pipeline sedimentation involves complex physical processes such as the movement mechanism of two-phase water-sand flow and transient flow, the simulation of the change process of the sediment layer in the drainage system has been in a blank stage. Most of the existing research on sediments in drainage systems is only applicable to the scene of permanent sediment layers, and is not applicable to the scene of continuous sedimentation and scouring changes in reality. The application scenarios are limited, and there is a lack of dynamic simulation process of sediment layers. These problems have led to low accuracy of sediment simulation, which is not conducive to early detection and control of sediments and reducing the risk of overflow pollution.

[0068] Based on this, in order to solve the above technical problems, the embodiments of the present application provide a rainwater system sediment simulation method, device, equipment and storage, which can be used in the field of urban drainage system simulation, aiming to solve the above technical problems of the prior art. The inventive concept of this application is: how to effectively improve the efficiency of rainwater system sediment simulation.

[0069] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0070] Figure 1 A schematic diagram of a rainwater system sediment simulation method provided in an embodiment of the present application Figure 1 ,like Figure 1 As shown, the method includes:

[0071] S101. Construct a TSS model based on a rainwater system model, obtain a first TSS concentration output by the TSS model, and calibrate and adjust the rainwater system model according to the first TSS concentration and the monitored TSS concentration.

[0072] Among them, the rainwater system model is the SWMM model; the first TSS concentration is the TSS simulation value; and the monitored TSS concentration is the TSS measured value.

[0073] Among them, building a TSS model based on the rainwater system model is the key to sediment simulation. The TSS simulation process includes surface accumulation, scouring, pipeline transportation, etc. The specific construction steps are as follows:

[0074] First, select TSS as the simulated pollutant:

[0075] In the setup of a SWMM model, TSS needs to be explicitly specified as one of the pollutants being simulated. This usually involves specifying the relevant properties of TSS in the model parameters or in an input file.

[0076] Next, set the initial concentration and growth parameters of TSS:

[0077] In the model, the initial concentration and growth parameters of TSS have an important influence on the simulation results. The initial concentration can be set based on actual observation data or relevant literature. The accumulation parameters may include maximum accumulation amount, rate constant, etc. These parameters need to be adjusted according to the characteristics and data of the specific study area.

[0078] Specifically, the cumulative equation is an exponential function:

[0079]

[0080] Among them, B is the accumulation of pollutants; C1 is the maximum accumulation of pollutants; C2 is the accumulation rate constant; and t is the accumulation time.

[0081] More specifically, the selection of localized model parameters is conducive to improving the accuracy and reliability of the model calculation results. In order to ensure the uniformity, comprehensiveness and scientificity of relevant parameters, the land types involved in the catchment area are mainly divided into asphalt roads and green spaces according to the nature of the land use in the study area and the survey situation. According to the average concentration of each pollutant in the initial rainwater monitoring session, the SWMM user manual, the environmental conditions around the monitoring point and the relevant literature of similar studies, the relevant parameters such as surface pollutant accumulation and washoff are set for different land use types.

[0082] Next, define the runoff and flushing processes:

[0083] The SWMM model predicts the transport and distribution of TSS by simulating runoff and flushing processes. Therefore, it is necessary to define runoff parameters (such as runoff coefficient, runoff path, etc.) and flushing processes (such as flushing coefficient, flushing volume, etc.) to reflect the flushing and migration characteristics of TSS under different land use types and soil conditions.

[0084] Specifically, the washout equation is an exponential function:

[0085]

[0086] Among them, W is the pollutant washoff; S1 is the washoff coefficient; S2 is the washoff index; and q is the runoff per unit area.

[0087] In addition, the impact of land use and soil type needs to be considered:

[0088] Land use type and soil type have a significant impact on the generation and transport of TSS. In the SWMM model, it is necessary to assign corresponding TSS generation and transport parameters to each subcatchment or land use type. This includes TSS generation rates under different land use types, infiltration and scouring characteristics under different soil types, etc.

[0089] Finally, run the SWMM model and analyze the results:

[0090] After entering all necessary data and parameters, run the SWMM model for simulation. The model will simulate the runoff process and generate TSS simulation results based on the input rainfall data and set parameters. Compare and analyze the model output results with the monitoring data to verify the accuracy and reliability of the model. If there is a large difference between the model results and the actual data, it may be necessary to adjust the model parameters or structure and rerun.

[0091] Specifically, the Nash-Sutcliffe Efficiency Coefficient (NSE) is used as a method to evaluate the accuracy of the model. The calculation results show that the Nash efficiency coefficient is not less than 0.683. It is generally believed that when NSE>0.5, the model results are basically consistent with the monitored values, and the model accuracy meets the requirements.

[0092] Among them, the specific calculation formula of Nash efficiency coefficient is:

[0093]

[0094] Among them, y m (i) is the i-th monitoring value; is the average value of the monitoring value; s (i) is the ith model simulation value; N is the number of monitoring data.

[0095] In addition, the TSS model was compared with the monitoring data, and the simulation results met the requirements. The TSS concentration can be used for subsequent sediment thickness prediction and calculation.

[0096] As an example, Figure 2 Schematic diagram of comparison between TSS simulation value and TSS measured value obtained according to the embodiment of the present application; Figure 2 As shown, the black line is the TSS simulation value obtained according to the present method, and the gray line is the TSS measured value. According to the comparison, the TSS simulation value obtained according to the present application method has higher accuracy than the TSS measured value.

[0097] S102. Collect historical data of the rainwater system, analyze the historical data, and identify problematic pipes in the rainwater system that have experienced sedimentation problems.

[0098] In this embodiment, historical data of the rainwater system is collected, and the historical data is analyzed according to preset conditions to obtain problematic pipes in the rainwater system where sedimentation problems have occurred.

[0099] S103, obtaining basic data of the problematic pipeline, simulating sediment movement in the problematic pipeline according to the basic data, and calculating a second TSS concentration according to the sediment movement.

[0100] In this embodiment, basic data of the problem pipeline is obtained through PySWMM and SWMM-API, sediment movement of the problem pipeline is simulated according to the basic data, and the second TSS concentration is calculated according to the sediment movement.

[0101] S104. Update the boundary conditions of the rainwater system model according to the first TSS concentration, the second TSS concentration and the basic data of the problem pipe.

[0102] In this embodiment, the first TSS concentration and the second TSS concentration are compared to determine the siltation and scouring conditions of the problem pipe, and the boundary conditions of the rainwater system model are updated based on the first TSS concentration, the second TSS concentration and the basic data of the problem pipe.

[0103] It should be noted that before S101, it also included:

[0104] First, stormwater system model preparation: Before starting to build the model, relevant data needs to be collected and prepared. This includes DEM data, rainfall data, land use type, basic information of drainage system, etc.

[0105] Secondly, build the rainwater system model network:

[0106] Based on the basic data of the drainage system (usually shape files), a network model of the drainage system is constructed in SWMM.

[0107] The rainwater system model includes multiple rainwater pipe network areas, multiple sub-catchment areas, multiple nodes and pipe networks, multiple outlets, multiple storage spaces, and multiple control gates. Ensure that these elements are set according to the layout and properties of the actual drainage system.

[0108] Among them, the rainwater system model adopts the dynamic wave control equation.

[0109] Again, divide the catchment area:

[0110] The study area is divided into sub-catchments with the help of GIS software. Sub-catchments are determined at key node locations, and the division of sub-catchments should be based on factors such as topography, land use, and drainage systems. Information such as the area, width, slope, and proportion of impervious area of ​​the sub-catchment can be extracted through the Raster analysis function.

[0111] Finally, set the stormwater system model parameters:

[0112] According to the collected data and literature, set the parameters of the SWMM model. This includes rainfall parameters, runoff parameters, infiltration parameters, etc. Set the appropriate simulation period, time step, simulation control equation, etc. according to the actual situation.

[0113] Specifically, in order to construct the mechanism model of the selected research area, considering the integrity of the data and the use requirements of subsequent evaluation, this embodiment constructs the SWMM skeleton model of the entire case area. The mechanism model construction process mainly includes establishing topological relationships, determining land attributes, determining control strategies, simplifying pipe network structures, etc. For the establishment of topological relationships, the division of sewage plots and rainwater catchment areas is determined based on the current land use status and planning data and ground elevation maps. Combined with the basic data of drainage pipe network sections and control facilities, the topological connection relationship between the plots, pipe sections, and control facilities in the entire drainage pipe network system is sorted out.

[0114] More specifically, parameter initialization is the key to whether the model can run smoothly, especially the parameters with high sensitivity to the calculation results directly affect the accuracy and reliability of the model calculation results. Therefore, parameter initialization should be unified, comprehensive and scientific. In this embodiment, parameter selection includes actual measurement parameters and empirical parameters. The basis for parameter initialization is mainly the following three aspects: 1. Directly obtained measured data; 2. Indirectly obtained drawing data (CAD drawings, elevation maps, land use planning maps, etc.); 3. The empirical values ​​of the SWMM user manual and the values ​​of relevant literature.

[0115] It should also be noted that after S104, it also includes:

[0116] The first TSS concentration, the second TSS concentration and the basic data are updated at every preset update period, thereby updating the boundary conditions of the stormwater system model.

[0117] In this embodiment, an update cycle is selected to update the first TSS concentration, the second TSS concentration and the basic data, and new boundary conditions are obtained and input into the model. The relevant results are stored in the hot start file, and the SWMM model is called cyclically for subsequent simulation calculations until the simulation process ends.

[0118] By comparing the model with the gradually updated boundary conditions and the model without update, it can be found that inconsistencies between water level and flow occurred at some points. By comparing with the actual monitoring data, it can be found that the simulation of sediment thickness with the gradually updated boundary conditions is closer to the actual situation as the rainfall progresses.

[0119] At the same time, based on the on-site sampling results, the sediment thickness inside the pipeline is compared with the sediment thickness error predicted by simulation to evaluate the accuracy of the method. It is then concluded that this method can improve the accuracy of the simulation and support the formulation of drainage pipeline desilting operation and maintenance plans.

[0120] The present embodiment provides a method for simulating sediments in a rainwater system. The method comprises the following steps: constructing a TSS model based on a rainwater system model, obtaining a first TSS concentration output by the TSS model, and verifying and adjusting the rainwater system model according to the first TSS concentration and the monitored TSS concentration; collecting historical data of the rainwater system, analyzing the historical data, and obtaining problematic pipes in the rainwater system where sedimentation problems have occurred; obtaining basic data of problematic pipes, simulating sediment movement in problematic pipes according to the basic data, and calculating a second TSS concentration according to sediment movement; and updating the boundary conditions of the rainwater system model according to the first TSS concentration, the second TSS concentration, and the basic data of problematic pipes. Compared with existing studies on sediments in drainage systems, most of them are only applicable to scenarios with permanent sediment layers, and are not applicable to scenarios with continuous sedimentation and scouring changes in reality. The application scenarios are limited, and there is a lack of dynamic simulation process for sediment layers, which leads to the problem of low sediment simulation accuracy. The present application constructs a TSS model for a rainwater system, and couples the sediment motion equation to improve the sediment simulation function, thereby improving the accuracy of sediment simulation, and periodically updates the boundary conditions of the model, further improving the accuracy of sediment simulation.

[0121] Figure 3 A schematic diagram of a rainwater system sediment simulation method provided in an embodiment of the present application Figure 2 ,exist Figure 1 Based on the example, Figure 3 As shown, the basic data includes: pipeline flow, pipeline flow velocity and monitoring time, and the specific implementation steps of the above S104 include:

[0122] S201. Calculate a TSS concentration difference according to the first TSS concentration and the second TSS concentration, and calculate a pipeline flow change value per unit time according to the pipeline flow, pipeline flow velocity and monitoring time.

[0123] The TSS concentration difference is equal to the difference between the first TSS concentration and the second TSS concentration.

[0124] The second TSS concentration is calculated by simulating sediment movement.

[0125] Specifically, by comparing the first TSS concentration inside the pipeline with the second TSS concentration, the siltation and scouring conditions inside the pipeline can be determined. When the first TSS concentration is greater than the second TSS concentration, it indicates that the sediment transport capacity inside the pipeline is insufficient to transport all the TSS concentrations, and some sediments will settle to the bottom of the pipeline; when the first TSS concentration is less than the second TSS concentration, it indicates that the water flow inside the pipeline has a high scouring capacity, which can erode the existing bottom sediments and continue to transport them to subsequent pipelines.

[0126] S202. Calculate the sediment mass change based on the TSS concentration difference and the pipeline flow change per unit time.

[0127] In this embodiment, the change in sediment mass within a set appropriate time interval is calculated based on the TSS concentration difference and the change in pipeline flow rate per unit time.

[0128] S203. According to the change in sediment mass, the change in sediment thickness is calculated, and the change in sediment thickness is used as a boundary condition to adjust the rainwater system model.

[0129] In this embodiment, a certain period is selected as the sediment thickness update period, the sediment thickness change is calculated according to the sediment mass change, the sediment thickness change is updated at a certain period, and the sediment thickness change is used as a boundary condition to adjust the rainwater system model.

[0130] Figure 4 A schematic diagram of the geometric relationship of the pipeline deposition layer provided in the embodiment of the present application, such as Figure 4 As shown, according to the geometric relationship of the pipeline sediment layer, the following formula can be obtained:

[0131] θ=cos -1 (1-2H / D)

[0132] α=cos -1 (1-2h s / D)

[0133] A=0.25D 2 (θ-α-sinθcosθ+sinαcosα)

[0134] A s =0.25D 2 (α-sinθcosθ)

[0135] Where A is the flow area; θ is the angle from the centerline of the pipe to the water surface boundary, α is the angle from the centerline of the pipe to the boundary, H is the predicted value of the liquid level, and h s is the sediment thickness and D is the pipe diameter.

[0136] In this embodiment, the problem that the TSS concentration in the existing model can only be used as a constant value or simplified into a first-order degradation function, and is more inclined to a simple fitting of empirical values, does not fully consider the movement mechanism of sediments, lacks the sedimentation and scouring process of sediments, cannot retrieve key parameters such as flow rate, flow rate, concentration change for hydraulic calculations, cannot evaluate the TSS transport capacity based on the existing conditions of the pipeline, cannot determine the sedimentation and transport process of TSS, and cannot simulate the change process of sediment thickness is solved. At the same time, the periodically changing sediment thickness well reflects the development of sediments inside the pipeline. Thereby improving the sediment simulation efficiency of the rainwater system.

[0137] Figure 5 A schematic diagram of a rainwater system sediment simulation method provided in an embodiment of the present application Figure 3 ,exist Figure 1 and Figure 3 Based on the example, Figure 5 As shown, the basic data also includes: pipeline data and sediment data, and the specific implementation steps of the above S103 include:

[0138] S301. According to pipeline data and sediment data, a sediment movement control equation and a sediment transport capacity equation are established respectively.

[0139] The governing equation for sediment movement is:

[0140]

[0141] Among them, ρ s is the wet density of the sediment; A s is the sediment area perpendicular to the water flow direction; A is the flow area of ​​the pipeline; C is the monitored TSS concentration inside the pipeline; Q is the pipeline flow rate; and L is the pipeline length.

[0142] The sediment transport capacity equation is:

[0143]

[0144] Among them, C v is the second TSS concentration; V is the pipeline flow rate; g is the gravitational acceleration; d 50 is the median particle size of the sediment; s is the specific gravity of the sand; D * is the dimensionless particle size; R is the hydraulic radius of the pipe; f c is the composite friction coefficient of the pipe.

[0145] S302. Calculate a second TSS concentration based on a sediment movement control equation and a sediment transport capacity equation.

[0146] In this embodiment, the problem that the existing model does not consider the erosion, transportation and deposition processes of sediments is solved by coupling the sediment motion equation, and the sediment simulation function is further improved, thereby improving the efficiency of sediment simulation in the rainwater system.

[0147] Figure 6 A schematic diagram of a rainwater system sediment simulation method provided in an embodiment of the present application Figure 4 ,exist Figure 1 , Figure 3 as well as Figure 5 Based on the example, Figure 6 As shown, the historical data is a collection of historical basic data of all pipelines in the rainwater system model; the historical basic data includes: historical flow velocity of the pipeline and historical concentration of monitored TSS; the pipeline data includes: pipeline diameter, then the specific implementation steps of the above S102 include:

[0148] S401. According to the preset pipeline flow rate threshold, pipeline diameter threshold and monitored TSS concentration threshold, determine whether the pipeline diameter, pipeline historical flow rate and monitored TSS historical concentration of each pipeline are qualified.

[0149] Among them, historical data also includes pipeline design parameters, flow data, water quality data, etc.

[0150] Among them, the pipeline flow velocity threshold is 0.6m / s; the pipeline diameter threshold is 400mm; and the monitoring TSS concentration threshold is 500mg / L.

[0151] Specifically, use pipeline endoscopes, CCTV or other non-destructive testing technologies to visually inspect the pipelines. Analyze the flow rate and flow data of the drainage system to understand the movement of water in different pipe sections. Analyze water quality, especially monitor TSS concentration.

[0152] More specifically, when the pipeline historical flow velocity is less than the pipeline flow velocity threshold of 0.6m / s; the pipeline diameter is less than the pipeline diameter threshold of 400mm; and the monitored TSS historical concentration is higher than the monitored TSS concentration threshold of 500mg / L, it indicates that deposition problems will occur inside the pipeline.

[0153] S402: All pipelines that meet at least one preset condition are determined as problematic pipelines.

[0154] The multiple preset conditions refer to: the pipeline diameter is less than the pipeline diameter threshold, the pipeline historical flow rate is less than the pipeline flow rate threshold, and the monitored TSS historical concentration is less than the monitored TSS concentration threshold.

[0155] Pipelines that meet at least one preset condition are selected and determined as problematic pipelines. They are used as key simulation objects to simulate sedimentary layer changes.

[0156] In this embodiment, based on the analysis of historical data, areas or pipe sections that may have sedimentation problems are identified through preset conditions and used as key simulation objects to simulate sedimentation layer changes, thereby improving the efficiency of stormwater system sedimentation simulation.

[0157] Figure 7 A schematic diagram of the structure of a rainwater system sediment simulation device provided in an embodiment of the present application is shown in FIG. Figure 7 As shown, the device includes: a model processing device 71, a data processing device 72 and a model updating device 73.

[0158] The model processing device 71 is used to construct a TSS model based on the rainwater system model, obtain a first TSS concentration output by the TSS model, and verify and adjust the rainwater system model according to the first TSS concentration and the monitored TSS concentration.

[0159] The data processing device 72 is used to collect historical data of the rainwater system, analyze the historical data, and obtain problematic pipes in the rainwater system that have experienced sedimentation problems.

[0160] The data processing device 72 is further used to obtain basic data of the problematic pipeline, simulate sediment movement in the problematic pipeline according to the basic data, and calculate a second TSS concentration according to the sediment movement.

[0161] The model updating device 73 is used to update the boundary conditions of the rainwater system model according to the first TSS concentration, the second TSS concentration and the basic data of the problem pipe.

[0162] In a possible design, the model updating device 73 is further used to update the boundary conditions of the stormwater system model according to the first TSS concentration, the second TSS concentration and the basic data of the problem pipe, including:

[0163] The sediment mass change is calculated based on the first TSS concentration, the second TSS concentration and the basic data of the problematic pipeline;

[0164] According to the change of sediment mass, the change of sediment thickness is calculated and used as boundary condition to adjust the stormwater system model.

[0165] In one possible design, the basic data include: pipeline flow rate, pipeline flow rate and monitoring time;

[0166] The model updating device 73 is also used to calculate the sediment mass change according to the first TSS concentration, the second TSS concentration and the basic data of the problematic pipeline, including:

[0167] The TSS concentration difference is calculated based on the first TSS concentration and the second TSS concentration, and the pipeline flow rate change value per unit time is calculated based on the pipeline flow rate, pipeline flow rate and monitoring time; wherein the TSS concentration difference is equal to the difference between the first TSS concentration and the second TSS concentration;

[0168] The change in sediment mass was calculated based on the TSS concentration difference and the change in pipeline flow per unit time.

[0169] In one possible design, the basic data also includes: pipeline data and sediment data;

[0170] The data processing device 72 is also used to simulate the sediment movement of the problematic pipeline according to the basic data, and calculate the second TSS concentration according to the sediment movement, including:

[0171] According to pipeline data and sediment data, sediment movement control equation and sediment transport capacity equation are established respectively;

[0172] The second TSS concentration was calculated based on the sediment movement governing equation and the sediment transport capacity equation.

[0173] In one possible design, the data processing device 72 is also used for the sediment movement control equation, which is:

[0174]

[0175] Among them, ρ s is the wet density of the sediment; A s is the sediment area perpendicular to the water flow direction; A is the flow area of ​​the pipeline; C is the monitored TSS concentration inside the pipeline; Q is the pipeline flow rate; L is the pipeline length;

[0176] The sediment transport capacity equation is:

[0177]

[0178] Among them, C v is the second TSS concentration; V is the pipeline flow rate; g is the gravitational acceleration; d 50 is the median particle size of the sediment; s is the specific gravity of the sand; D * is the dimensionless particle size; R is the hydraulic radius of the pipe; f c is the composite friction coefficient of the pipe.

[0179] In a possible design, the historical data is a collection of historical basic data of all pipes in the stormwater system model; the historical basic data includes: historical flow velocity of the pipe and historical concentration of monitored TSS; the pipe data includes: pipe diameter;

[0180] The data processing device 72 is also used to analyze historical data to obtain problematic pipes in the rainwater system that have experienced sedimentation problems, including:

[0181] According to the preset pipeline flow rate threshold, pipeline diameter threshold and monitored TSS concentration threshold, the pipeline diameter, pipeline historical flow rate and monitored TSS historical concentration of each pipeline are judged to be qualified;

[0182] Pipelines that meet at least one preset condition are identified as problematic pipelines; wherein the multiple preset conditions are: the pipeline diameter is less than the pipeline diameter threshold, the pipeline historical flow rate is less than the pipeline flow rate threshold, and the monitored TSS historical concentration is less than the monitored TSS concentration threshold.

[0183] In a possible design, after the model updating device 73 is further used to update the boundary conditions of the stormwater system model according to the first TSS concentration, the second TSS concentration and the basic data of the problem pipe, the method further includes:

[0184] The first TSS concentration, the second TSS concentration and the basic data are updated at every preset update period, thereby updating the boundary conditions of the stormwater system model.

[0185] A rainwater system sediment simulation device provided in this embodiment can execute a rainwater system sediment simulation method of the above embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0186] In the specific implementation of the aforementioned rainwater system sediment simulation method, each module can be implemented as a processor, and the processor can execute computer execution instructions stored in the memory, so that the processor executes the aforementioned rainwater system sediment simulation method.

[0187] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 8 As shown, the electronic device 80 includes: at least one processor 81 and a memory 82. The electronic device 80 also includes a communication component 83. The processor 81, the memory 82 and the communication component 83 are connected via a bus 84.

[0188] In the specific implementation process, at least one processor 81 executes the computer execution instructions stored in the memory 82, so that at least one processor 81 executes a rainwater system sediment simulation method belonging to claims 1-7 as executed by the electronic device side as above.

[0189] The specific implementation process of the processor 81 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here. In the above embodiment, it should be understood that the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or the processor can be any conventional processor, etc. The steps of the method disclosed in the invention can be directly embodied as being executed by a hardware processor, or can be executed by a combination of hardware and software modules in the processor.

[0190] The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk storage.

[0191] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0192] The above-mentioned functions implemented by the electronic device and the main control device introduce the scheme provided by the embodiment of the present invention. It can be understood that in order to implement the above-mentioned functions, the electronic device or the main control device includes a hardware structure and / or software module corresponding to the execution of each function. In combination with the units and algorithm steps of each example described in the embodiment disclosed in the embodiment of the present invention, the embodiment of the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the technical solution of the embodiment of the present invention.

[0193] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, it is used to implement the above-mentioned rainwater system sediment simulation method.

[0194] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0195] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in an electronic device or a main control device.

[0196] The present application also provides a computer program product, which includes: a computer program, which is stored in a readable storage medium. At least one processor of an electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device executes the solution provided by any of the above embodiments.

[0197] Those skilled in the art can understand that all or part of the steps of the above method embodiments can be completed by hardware related to program instructions. The above program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above method embodiments are executed; and the above storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0198] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments, and the above embodiments are only used to illustrate the technical solution of the present application rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for simulating rainwater system sediment, characterized in that: The method comprises: Building a TSS model based on the rainwater system model, obtaining a first TSS concentration output by the TSS model, and verifying and adjusting the rainwater system model according to the first TSS concentration and the monitored TSS concentration; Collect historical data of the rainwater system, analyze the historical data, and obtain problematic pipes in the rainwater system where sedimentation problems have occurred; Acquiring basic data of the problematic pipeline, simulating sediment movement in the problematic pipeline according to the basic data, and calculating a second TSS concentration according to the sediment movement; The boundary conditions of the stormwater system model are updated according to the first TSS concentration, the second TSS concentration and the basic data of the problematic pipe.

2. The method according to claim 1, characterized in that The updating of the boundary conditions of the stormwater system model according to the first TSS concentration, the second TSS concentration and the basic data of the problematic pipe includes: Calculating a sediment mass change according to the first TSS concentration, the second TSS concentration and the basic data of the problematic pipeline; According to the change in the sediment mass, the change in sediment thickness is calculated, and the change in sediment thickness is used as the boundary condition to adjust the rainwater system model.

3. The method according to claim 2, characterized in that The basic data include: pipeline flow, pipeline flow velocity and monitoring time; The calculating the sediment mass change according to the first TSS concentration, the second TSS concentration and the basic data of the problematic pipeline includes: A TSS concentration difference is calculated according to the first TSS concentration and the second TSS concentration, and a pipeline flow change value per unit time is calculated according to the pipeline flow, the pipeline flow velocity and the monitoring time; wherein the TSS concentration difference is equal to the difference between the first TSS concentration and the second TSS concentration; The sediment mass change is calculated based on the TSS concentration difference and the pipeline flow change value per unit time.

4. The method according to claim 3, characterized in that The basic data also includes: pipeline data and sediment data; The simulating the sediment movement of the problematic pipeline according to the basic data and calculating a second TSS concentration according to the sediment movement includes: According to the pipeline data and the sediment data, respectively establishing a sediment movement control equation and a sediment transport capacity equation; The second TSS concentration is calculated based on the sediment movement control equation and the sediment transport capacity equation.

5. The method according to claim 4, characterized in that The sediment movement control equation is: Among them, ρ s is the wet density of the sediment; A s is the sediment area perpendicular to the water flow direction; A is the flow area of ​​the pipeline; C is the monitored TSS concentration inside the pipeline; Q is the pipeline flow rate; L is the pipeline length; The sediment transport capacity equation refers to: Among them, C v is the second TSS concentration; V is the pipeline flow rate; g is the gravitational acceleration; d 50 is the median particle size of the sediment; s is the specific gravity of the sand; D * is the dimensionless particle size; R is the hydraulic radius of the pipe; f c is the composite friction coefficient of the pipe.

6. The method according to any one of claims 1 to 5, characterized in that: The historical data is a collection of historical basic data of all pipelines in the rainwater system model; The historical basic data include: historical pipeline flow rate and monitored TSS historical concentration; the pipeline data include: pipeline diameter; The analyzing the historical data to obtain problematic pipes in the rainwater system that have experienced sedimentation problems includes: According to the preset pipeline flow rate threshold, pipeline diameter threshold and monitored TSS concentration threshold, respectively determine whether the pipeline diameter, the pipeline historical flow rate and the monitored TSS historical concentration of each pipeline are qualified; All pipelines that meet at least one preset condition are determined as the problem pipelines; wherein the multiple preset conditions respectively refer to: the pipeline diameter is smaller than the pipeline diameter threshold, the pipeline historical flow rate is smaller than the pipeline flow rate threshold, and the monitored TSS historical concentration is smaller than the monitored TSS concentration threshold.

7. The method according to claim 6, characterized in that After updating the boundary conditions of the stormwater system model according to the first TSS concentration, the second TSS concentration and the basic data of the problematic pipe, the method further includes: The first TSS concentration, the second TSS concentration and the basic data are updated at every preset update period, thereby updating the boundary conditions of the rainwater system model.

8. A rainwater system sediment simulation device, characterized in that: include: Model processing device, data processing device and model updating device; The model processing device is used to construct a TSS model based on the rainwater system model, obtain a first TSS concentration output by the TSS model, and verify and adjust the rainwater system model according to the first TSS concentration and the monitored TSS concentration; The data processing device is used to collect historical data of the rainwater system, analyze the historical data, and obtain problematic pipes in the rainwater system where sedimentation problems have occurred; The data processing device is further used to obtain basic data of the problematic pipeline, simulate sediment movement in the problematic pipeline according to the basic data, and calculate a second TSS concentration according to the sediment movement; The model updating device is used to update the boundary conditions of the rainwater system model according to the first TSS concentration, the second TSS concentration and the basic data of the problematic pipe.

9. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; When the processor executes the computer-executable instructions stored in the memory, it is used to implement the rainwater system sediment simulation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the rainwater system sediment simulation method according to any one of claims 1 to 7.

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