An optimization method for urban drainage scheduling system

Abstract

The present invention discloses an optimization method for an urban drainage scheduling system, which relates to the field of drainage scheduling data analysis, including dividing a two-dimensional surface model into multiple surface cells according to the average surface slope, generating a three-dimensional pipe network block by combining the two-dimensional position information of a closed area with the average depth data of the pipe segment in the corresponding node line segment according to the node distribution position data and the corresponding connected nodes, and calculating the flow of the three-dimensional pipe network block; calculating the vertical exchange flow between the surface cells and multiple three-dimensional pipe network blocks; dynamically adjusting the two-dimensional surface model to the surface cell division, coupling the one-dimensional pipe network model and the two-dimensional surface model, and generating a coupling model; inputting sensor acquisition data into the coupling model, and deriving the data results of the coupling model for drainage scheduling. The present invention provides a scientific reference for executing a reasonable drainage scheduling operation strategy, stops losses in time, prevents and controls in advance, and ensures property safety.

Description

Technical Field

[0001] The invention relates to the field of drainage scheduling data analysis, and in particular to an urban drainage scheduling system optimization method. Background Art

[0002] With the rapid development of cities, the drainage volume continues to increase, while the problems of aging drainage pipelines and insufficient construction in many cities have become increasingly prominent. During heavy rains, urban waterlogging and waterlogging occur frequently, causing great troubles to citizens' lives and urban operations.

[0003] The underground drainage pipe network monitoring system is a system that uses advanced technology to monitor and manage the urban water supply and drainage underground pipe network in real time. It is mainly composed of sensors, data transmission equipment and processing platforms. Sensors are responsible for collecting key data such as water level, flow, water quality, etc. in the pipe network, such as pressure sensors, flow sensors and water quality monitoring sensors. The data transmission equipment transmits the data collected by the sensors to the processing platform quickly and accurately through wireless or wired means. The processing platform stores, analyzes and processes these data to provide decision support for managers.

[0004] GIS and CAD data are used to carry out hydraulic modeling of urban drainage systems and complete the establishment of urban drainage system models. However, it is difficult for the model to simulate complex urban drainage systems. When encountering drainage and waterlogging situations, the hydraulic simulation of urban waterlogging is quite different from the actual situation in terms of one-dimensional and two-dimensional coupled hydraulic calculation principles, which affects the analysis of urban waterlogging. As a result, the treatment is not timely, and urban waterlogging and waterlogging occur frequently during heavy rains, which brings great troubles to citizens' lives and urban operations.

[0005] Therefore, the present invention considers an urban drainage scheduling system optimization method, adjusts the model simulation process, realizes adaptive and accurate simulation, and corrects the simulation failure caused by the aging and insufficient construction of drainage pipe networks in many existing cities. Summary of the invention

[0006] The present invention provides an urban drainage scheduling system optimization method to solve the problems of the prior art, comprising the following steps:

[0007] Import the one-dimensional urban pipe network model and the two-dimensional surface model respectively;

[0008] The two-dimensional surface model is divided into a plurality of surface cells according to the average surface slope, and a flow exchange formula is set between adjacent surface cells, and the parameters of the flow exchange formula are set according to the slope difference between the surface cells;

[0009] The node distribution position data and the corresponding pipe segment data between the connected nodes are divided into node segments. Multiple node segments are projected on the two-dimensional surface plane to form a closed area. The two-dimensional position information of the closed area and the average depth data of the pipe segment in the corresponding node segment are combined to generate a three-dimensional pipe network block, and the flow of the three-dimensional pipe network block is calculated;

[0010] Combine the three-dimensional pipe network blocks corresponding to the multiple two-dimensional projections of the overlapping surface cells, and calculate the vertical exchange flow between the surface cells and the multiple three-dimensional pipe network blocks;

[0011] Dynamically adjust the surface two-dimensional model to the surface cell division, obtain the one-to-many correspondence between surface cells of different specifications and multiple three-dimensional pipe network blocks, and traverse and delete the combinations of surface cells and three-dimensional pipe network blocks corresponding to the same correspondence;

[0012] The one-dimensional pipe network model for dividing the three-dimensional pipe network blocks and the two-dimensional surface model for dividing the surface cells are coupled to generate a coupling model;

[0013] The input sensor collects data into the coupling model, and the data results of the coupling model are exported for drainage scheduling.

[0014] Furthermore, the importing of the one-dimensional urban pipe network model and the two-dimensional surface model respectively includes:

[0015] During the import process, the time synchronization data between the two models and the water flow exchange data are imported synchronously;

[0016] The water flow exchange data include the forward water flow exchange and lateral water flow exchange in the horizontal direction of the one-dimensional pipe network model, and the forward water flow exchange and lateral water flow exchange of the two-dimensional surface model.

[0017] Furthermore, the two-dimensional surface model is divided into a plurality of surface cells according to the average surface slope, and a flow exchange formula is set between adjacent surface cells. The parameters of the flow exchange formula are set according to the slope difference between the surface cells, including:

[0018] The dynamic step size is set according to the average surface slope, and the difference in the number of nodes covered by adjacent surface cells does not exceed 50% of the total number of nodes; the total number of nodes covered by a single surface cell is not less than four, and there is at least one pipe section passing through the vertical space between two adjacent nodes.

[0019] Furthermore, when the total number of nodes covered by the surface cells does not meet the conditions, the gradient of the step length of the surface average slope division is expanded until the total number of nodes covered by the minimum surface cells is equal to four.

[0020] Furthermore, after adjusting the gradient of the step length of the surface average slope division to the minimum surface cell coverage node total equal to four, the verification correction operation is performed as follows:

[0021] Check whether every two adjacent nodes covered by the minimum surface cell satisfy the requirement that at least one pipe segment passes through the vertical space where the two adjacent nodes are located;

[0022] If not, the minimum surface cell is translated to an adjacent area or / and the side length of the minimum surface cell is modified to determine the position information of the smallest divided surface cell, and the verification and correction operation is re-executed until the conditions are met.

[0023] Furthermore, the location information is recorded for each group of determined surface cells, and the sensor collection data, time synchronization data and water flow exchange data of the corresponding surface cells are associated.

[0024] Furthermore, the pipe segment attribute data and node attribute data in a plurality of three-dimensional pipe network blocks corresponding to the surface cells are batch read and processed.

[0025] Furthermore, after batch reading and processing of the pipe segment attribute data and the node attribute data, two layers of topological relationship connection are also performed, including:

[0026] The first layer of topological relationship connection is implemented with a three-dimensional pipe network block as the framework, and the network relationship between pipe segments and nodes is automatically established;

[0027] The second layer of topological relationship connection automatically establishes the network relationship between the pipe segments and nodes between multiple three-dimensional pipe network blocks under the surface cells;

[0028] When adjusting the average surface slope to divide the surface cells, the second-level topological relationship connections are updated.

[0029] Furthermore, the coupling of the one-dimensional pipe network model for dividing the three-dimensional pipe network blocks and the two-dimensional surface model for dividing the surface cells to generate the coupling model includes the following specific steps:

[0030] Perform overload judgment on the node;

[0031] Perform water level update on overloaded nodes, perform backflow calculation on non-overloaded nodes, and import the calculations into different 3D pipe network blocks corresponding to the nodes;

[0032] Based on the calculated three-dimensional pipe network block, the vertical exchange flow between the corresponding surface cells is calculated according to the principle of water conservation;

[0033] The water volume changes of the coupled model in the surface 2D model are calculated based on the updated surface cells.

[0034] Furthermore, the input sensor collects data into the coupling model, and the data results of the coupling model are derived for drainage scheduling, including:

[0035] The water volume changes in the two-dimensional surface model in the updated predicted coupling model were imported into the SWMM module, and the urban ground flooding map was generated using GIS software to guide manual analysis of drainage scheduling strategies.

[0036] The present invention provides an urban drainage scheduling system optimization method, which uses data model analysis to dynamically adjust and process data parameters, simulates the scope and depth of ground waterlogging, and provides a scientific reference for executing a reasonable drainage scheduling operation strategy, so as to stop losses in time, prevent and control in advance, and ensure property safety. DETAILED DESCRIPTION

[0037] Here, exemplary embodiments are described in detail. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are only examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0038] In order to effectively solve the problem of urban waterlogging caused by untimely drainage scheduling, the present invention adopts a dynamically adjusted underground pipe network monitoring model to process the actual rainfall situation. Different from the commonly used inherent sub-water area division as an intermediate step of the urban underground pipe network monitoring model, the present invention specifically adopts dynamic sub-water area division;

[0039] The technical solution of the present invention and how the technical solution of the present invention 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 invention are described below.

[0040] Embodiment 1: This embodiment provides a method for optimizing an urban drainage scheduling system, comprising the following steps:

[0041] S1, import the one-dimensional urban pipe network model and the two-dimensional surface model respectively;

[0042] These include:

[0043] During the import process, the time synchronization data between the two models and the water flow exchange data are imported synchronously;

[0044] The water flow exchange data include the forward water flow exchange and lateral water flow exchange in the horizontal direction of the one-dimensional pipe network model, and the forward water flow exchange and lateral water flow exchange of the two-dimensional surface model.

[0045] S2, dividing the two-dimensional surface model into a plurality of surface cells according to the average surface slope;

[0046] A flow exchange formula is set between adjacent surface cells, and the parameters of the flow exchange formula are set according to the slope difference between surface cells; the dynamic step size divided by the average surface slope is set, and the difference in the number of nodes covered between adjacent surface cells does not exceed 50% of the total number of nodes; and the total number of nodes covered by a single surface cell is not less than four, and at least one pipe section passes through the vertical space where two adjacent nodes are located. When the total number of nodes covered by the surface cell does not meet the conditions, the gradient of the step size divided by the average surface slope is expanded until the total number of nodes covered by the smallest surface cell is equal to four. After adjusting the gradient of the step size divided by the average surface slope to the total number of nodes covered by the smallest surface cell is equal to four, the verification and correction operation is performed as follows: check whether every two adjacent nodes covered by the smallest surface cell meet the condition that at least one pipe section passes through the vertical space where the two adjacent nodes are located; if not, translate the smallest surface cell to the adjacent area or / and modify the side length of the smallest surface cell, determine the location information of the smallest divided surface cell, and re-execute the verification and correction operation until the conditions are met.

[0047] S3, dividing the node distribution position data and the corresponding pipe segment data between the connected nodes into node segments, projecting multiple node segments on the two-dimensional surface plane to form a closed area, combining the two-dimensional position information of the closed area with the average depth data of the pipe segment in the corresponding node segment to generate a three-dimensional pipe network block, and calculating the flow of the three-dimensional pipe network block;

[0048] S4, combining the three-dimensional pipe network blocks corresponding to the multiple two-dimensional projections of the overlapping surface cells, and correspondingly calculating the vertical exchange flow between the surface cells and the multiple three-dimensional pipe network blocks;

[0049] S5, dynamically adjust the surface two-dimensional model to the surface cell division, and obtain a one-to-many correspondence between surface cells of different specifications and multiple three-dimensional pipe network blocks;

[0050] It also includes traversing and deleting the combination of surface cells and three-dimensional pipe network blocks corresponding to the same corresponding relationship;

[0051] S6, coupling the one-dimensional pipe network model for dividing the three-dimensional pipe network blocks and the two-dimensional surface model for dividing the surface cells to generate a coupling model;

[0052] S6 includes the following specific steps:

[0053] S61, performing overload judgment on the node;

[0054] S62, performing water level update on the overloaded nodes, performing backflow calculation on the non-overloaded nodes, and merging the calculation into different three-dimensional pipe network blocks corresponding to the nodes;

[0055] S63, based on the calculated three-dimensional pipe network block, calculate the vertical exchange flow between the corresponding surface cells according to the principle of water conservation;

[0056] S64. Calculate the water volume change of the coupling model in the two-dimensional surface model based on the updated surface cells.

[0057] S7. Input sensor data to the coupling model, and export the data results of the coupling model for drainage scheduling.

[0058] Specifically, it includes: batch reading and processing of pipe segment attribute data and node attribute data in multiple three-dimensional pipe network blocks corresponding to surface cells. Recording location information for each group of determined surface cells, and associating sensor collection data, time synchronization data and water flow exchange data of the corresponding surface cells. After batch reading and processing of pipe segment attribute data and node attribute data, it also includes executing two-layer topological relationship connection, including:

[0059] The first layer of topological relationship connection is implemented with a three-dimensional pipe network block as the framework, and the network relationship between pipe segments and nodes is automatically established;

[0060] The second layer of topological relationship connection automatically establishes the network relationship between the pipe segments and nodes between multiple three-dimensional pipe network blocks under the surface cells;

[0061] When adjusting the average surface slope to divide the surface cells, the second-level topological relationship connections are updated.

[0062] The water volume changes in the two-dimensional surface model in the updated predicted coupling model were imported into the SWMM module, and the urban ground flooding map was generated using GIS software to guide manual analysis of drainage scheduling strategies.

[0063] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0064] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0065] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0066] Those skilled in the art will appreciate that the embodiments of the present invention may be provided as methods or systems. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects.

[0067] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0068] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

[0069] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed by the present invention. The description and examples are to be considered exemplary only, and the true scope and spirit of the present invention is indicated by the claims above.

Claims

1. A method for optimizing an urban drainage scheduling system, characterized in that: The steps include: Import the one-dimensional urban pipe network model and the two-dimensional surface model respectively; The two-dimensional surface model is divided into a plurality of surface cells according to the average surface slope, a flow exchange formula is set between adjacent surface cells, and the parameters of the flow exchange formula are set according to the slope difference between the surface cells; the two-dimensional surface model is divided into a plurality of surface cells according to the average surface slope, a flow exchange formula is set between adjacent surface cells, and the parameters of the flow exchange formula are set according to the slope difference between the surface cells, including: The dynamic step size divided by the average surface slope is set, and the difference in the number of nodes covered by adjacent surface cells does not exceed 50% of the total number of nodes; and the total number of nodes covered by a single surface cell is not less than four, and there is at least one pipe section passing through the vertical space where two adjacent nodes are located; when the total number of nodes covered by the surface cell does not meet the conditions, the gradient of the step size divided by the average surface slope is expanded until the total number of nodes covered by the smallest surface cell is equal to four; The node distribution position data and the corresponding pipe segment data between the connected nodes are divided into node segments. Multiple node segments are projected on the two-dimensional surface plane to form a closed area. The two-dimensional position information of the closed area and the average depth data of the pipe segment in the corresponding node segment are combined to generate a three-dimensional pipe network block, and the flow of the three-dimensional pipe network block is calculated; Combine the three-dimensional pipe network blocks corresponding to the multiple two-dimensional projections of the overlapping surface cells, and calculate the vertical exchange flow between the surface cells and the multiple three-dimensional pipe network blocks; Dynamically adjust the surface two-dimensional model to the surface cell division, obtain the one-to-many correspondence between surface cells of different specifications and multiple three-dimensional pipe network blocks, and traverse and delete the combinations of surface cells and three-dimensional pipe network blocks corresponding to the same correspondence; The one-dimensional pipe network model for dividing the three-dimensional pipe network blocks and the two-dimensional surface model for dividing the surface cells are coupled to generate a coupling model; the specific steps include: Perform overload judgment on the node; Perform water level update on overloaded nodes, perform backflow calculation on non-overloaded nodes, and import the calculations into different 3D pipe network blocks corresponding to the nodes; Based on the calculated three-dimensional pipe network block, the vertical exchange flow between the corresponding surface cells is calculated according to the principle of water conservation; Calculate the water volume change of the coupled model in the two-dimensional surface model based on the updated surface cells; The input sensor collects data into the coupling model, and the data results of the coupling model are exported for drainage scheduling.

2. The urban drainage scheduling system optimization method according to claim 1 is characterized in that: The step of respectively importing the one-dimensional urban pipe network model and the two-dimensional surface model includes: During the import process, the time synchronization data between the two models and the water flow exchange data are imported synchronously; The water flow exchange data include the forward water flow exchange and lateral water flow exchange in the horizontal direction of the one-dimensional pipe network model, and the forward water flow exchange and lateral water flow exchange of the two-dimensional surface model.

3. The urban drainage scheduling system optimization method according to claim 2 is characterized in that: After adjusting the gradient of the step length of the surface average slope division to the minimum surface cell coverage node total equal to four, the verification correction operation is performed as follows: Check whether every two adjacent nodes covered by the minimum surface cell satisfy the requirement that at least one pipe segment passes through the vertical space where the two adjacent nodes are located; If not, the minimum surface cell is translated to an adjacent area or / and the side length of the minimum surface cell is modified to determine the position information of the smallest divided surface cell, and the verification and correction operation is re-executed until the conditions are met.

4. The urban drainage scheduling system optimization method according to claim 3 is characterized in that: The location information is recorded for each group of determined surface cells, and the sensor collection data, time synchronization data and water flow exchange data of the corresponding surface cells are associated.

5. The urban drainage scheduling system optimization method according to claim 4 is characterized in that: Batch reading and processing are performed on pipe segment attribute data and node attribute data in multiple three-dimensional pipe network blocks corresponding to surface cells.

6. The urban drainage scheduling system optimization method according to claim 5, characterized in that: After batch reading and processing of pipe segment attribute data and node attribute data, two layers of topological relationship connection are also performed, including: The first layer of topological relationship connection is implemented with a three-dimensional pipe network block as the framework, and the network relationship between pipe segments and nodes is automatically established; The second layer of topological relationship connection automatically establishes the network relationship between the pipe segments and nodes between multiple three-dimensional pipe network blocks under the surface cells; When adjusting the average surface slope to divide the surface cells, the second-level topological relationship connections are updated.

7. The urban drainage scheduling system optimization method according to claim 6, characterized in that: The input sensor collects data into the coupling model, and the data results of the coupling model are derived for drainage scheduling, including: The water volume changes in the two-dimensional surface model in the updated predicted coupling model were imported into the SWMM module, and the urban ground flooding map was generated using GIS software to guide manual analysis of drainage scheduling strategies.