Water supply pipe network pressure partition optimization method based on user characteristics and pipe network topology

Abstract

The invention discloses a water supply pipe network pressure partition optimization method based on user characteristics and pipe network topology. The method comprises the following steps: acquiring geographic information, water supply modes and building physical parameters of a plurality of user nodes; determining a pressure demand value of each user node according to the water supply mode and the building physical parameters; determining a pressure demand level of each user node according to the pressure demand value; based on a pipe network topological structure, grouping the plurality of user nodes according to the geographic information and the pressure demand level of each user node to form at least one block; and determining the pressure subarea of the water supply network according to the at least one block. In the partitioning process, the actual user pressure demand difference, caused by the characteristics of building physical parameters, water supply modes and the like, of different user nodes can be considered, so that partitioning is more accurate.

Description

Technical Field

[0001] This invention relates to the field of municipal water supply system technology, specifically to a method for optimizing water supply network pressure zoning based on user characteristics and network topology. Background Technology

[0002] Currently, there are two main traditional methods for dividing water supply networks into pressure zones: one is a rough division based on natural topographic contour lines; the other is subjective judgment based on engineers' experience. However, zones defined by these methods often face serious challenges in engineering practice due to the following two major drawbacks: The basis for zoning is not accurate: the existing method fails to fully consider the differences in actual user pressure demand caused by the characteristics of different user nodes such as building physical parameters and water supply methods. This may result in the actual water pressure required by users being fuzzy or misclassified, making the zoning lose its meaning for precise control.

[0003] Disconnection between zoning and pipeline system: When defining zoning boundaries, the actual topological connection relationship of the pipeline network is not closely integrated, making it difficult to implement or maintain the pipeline network within the zoning in engineering.

[0004] Therefore, a method for optimizing water supply network pressure zoning based on user characteristics and network topology is needed to overcome the above-mentioned shortcomings. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this application provides a water supply network pressure zoning optimization method based on user characteristics and network topology. When zoning, it can take into account the differences in actual user pressure demand caused by the characteristics of different user nodes such as building physical parameters and water supply methods, so as to make the zoning more accurate. When defining the zoning boundary, it can be closely integrated with the actual topological connection relationship of the network to facilitate the implementation and maintenance of the network within the zoning in engineering.

[0006] To address the above problems, the present invention provides the following technical solution: This application provides a method for optimizing water supply network pressure zoning based on user characteristics and network topology, including: acquiring the geographic information, elevation information, water supply mode, and building physical parameters of multiple user nodes; Determine the pressure requirement value for each user node based on the water supply method and building physical parameters; Determine the pressure demand level for each user node based on the pressure demand value; Based on the pipeline network topology, multiple user nodes are grouped according to the geographical information and pressure demand level of each user node to form at least one block. The water supply network pressure zones are determined based on at least one block.

[0007] In some implementations, the pressure requirement is determined based on the water supply method and building physical parameters, including: If the water supply method of the user node is a fully direct supply mode, the pressure requirement value is determined based on its building physical parameters; If the water supply method of the user node is a full secondary water supply mode, the pressure requirement value shall be determined according to the inlet pressure requirement of the secondary water supply facility supplying water to the user node. If the water supply method of the user node is a mixed water supply mode, then calculate its pressure demand value under both the full direct supply mode and the full secondary water supply mode, and take the higher value as the pressure demand value of the user node.

[0008] In some implementations, the method further includes: Obtain elevation information from multiple user nodes; The pressure demand value is corrected based on the elevation information to obtain the corrected pressure demand value; The pressure demand level of each user node is determined based on the corrected pressure demand value.

[0009] In some implementations, the pressure demand value is corrected based on elevation information to obtain a corrected pressure demand value, including: Calculate the elevation difference between the user node and its corresponding water supply source based on the elevation information; The pressure demand value is corrected based on the elevation difference to determine the corrected pressure demand value.

[0010] In some implementations, the pressure demand value is corrected based on the elevation difference to determine the corrected pressure demand value, including: The corrected pressure demand value is calculated using the following formula: = +α* H; in, This is the corrected pressure demand value. This represents the pressure demand value. H represents the elevation difference between the user node and its corresponding water supply source, and α represents the first dynamic compensation coefficient.

[0011] In some implementations, the pressure demand level of each user node is determined based on the corrected pressure demand value, including: Based on the corrected pressure demand value of each user node, a total interval is generated according to the lowest and highest corrected pressure demand values ​​among all user nodes. The total interval is then divided into multiple consecutive sub-intervals, with each sub-interval corresponding to a unique pressure demand level. The corresponding pressure demand level is determined based on the sub-interval in which the corrected pressure demand value of each user node is located.

[0012] In some implementations, based on the pipeline topology, multiple user nodes are grouped according to their geographical information and pressure demand levels to form at least one block, including: Based on the pipeline topology, adjacent user nodes with the same pressure demand level are initially grouped according to their geographical information and pressure demand level to form at least one block.

[0013] In some implementations, the method further includes: Obtain the water supply path and pressure requirement level for each block; If adjacent blocks have connected water supply paths and the difference in pressure demand levels between them is less than a preset threshold, the corresponding adjacent blocks will be merged.

[0014] In some implementations, water supply network pressure zoning is determined based on at least one block, including: Obtain the water supply pressure values ​​of all water supply pipes within each block; Divide each block into multiple sub-regions; The maximum pressure requirement value for each sub-region is determined based on the pressure requirement level of each block. If the maximum pressure demand of a certain sub-region is lower than the pressure of the water supplied by its water supply pipeline, that sub-region shall be designated as a separate zone.

[0015] In some implementations, it also includes: Based on the pipeline network topology, physical boundaries are determined for each block, wherein the physical boundaries are preferentially determined based on at least one of the following location features; Location factors include: municipal trunk lines, natural boundaries of terrain changes, and existing pumping stations or pressure reducing valve facilities.

[0016] This application provides a method for optimizing water supply network pressure zoning based on user characteristics and network topology. This method calculates the pressure demand value for each user node and determines the corresponding pressure demand level for each user node based on this value. Then, based on the network topology, the pressure demand levels are merged to form at least one block. Zoning considering the characteristics of user nodes ensures a precise match between pressure supply and actual demand. Furthermore, combining this with the network topology makes the network within each zone easier to implement and maintain in engineering. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the water supply network pressure zoning optimization method based on user characteristics and network topology provided in this application embodiment.

[0018] Figure 2This is a schematic diagram of the network topology and node ground elevation of the water supply network pressure zones before optimization.

[0019] Figure 3 This is a schematic diagram of the network topology and node pressure distribution of the water supply network before optimization.

[0020] Figure 4 This is a schematic diagram of the optimized pipeline network topology and node ground elevations output by an embodiment of this application.

[0021] Figure 5 This is a schematic diagram of the optimized pipeline topology and node pressure distribution output by an embodiment of this application.

[0022] Figure 6 This is a schematic diagram of the optimized pipeline topology and node pressure changes output by an embodiment of this application.

[0023] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0024] Figure 8 This is a structural block diagram of a computer-readable storage medium provided in an embodiment of this application. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0026] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0027] This application provides a method for optimizing water supply network pressure zoning based on user characteristics and network topology. Based on the network topology, the method performs intelligent zoning according to the geographical information of multiple user nodes, water supply methods, and building physical parameters. While accurately meeting the pressure requirements of users, it optimizes the overall pressure distribution of the network, thereby improving operation and management efficiency and system energy efficiency.

[0028] The following section will describe in detail, with reference to the accompanying drawings, the water supply network pressure zoning optimization method based on user characteristics and network topology provided in this application.

[0029] Please see Figure 1 , Figure 1 This is a flowchart illustrating the water supply network pressure zoning optimization method based on user characteristics and network topology provided in this application embodiment. Figure 1 As shown, the water supply network pressure zoning optimization method based on user characteristics and network topology includes steps S100 to S600.

[0030] Step S100: Obtain the geographic information, water supply method, and building physical parameters of multiple user nodes.

[0031] In some implementations, geographic information, water supply methods, and building physical parameters of multiple user nodes can be obtained based on pre-stored water supply survey data. Alternatively, geographic information, elevation information, water supply methods, and building physical parameters of multiple user nodes can be directly exported or retrieved from a water supply information system or a pipeline geographic information system.

[0032] In some implementations, geographic information includes at least one of a node ID and geographic location coordinates. The node ID is a key code used to uniquely identify and associate each user node in the system. In practical applications, the node ID can refer to one or more of the following identifiers: meter identifier, user account identifier, spatial location code, and external system code. For example, the meter identifier can be the unique factory serial number, asset number, or meter number in the water company's internal management system for the user node's smart water meter or traditional mechanical water meter. The user account identifier can be a user number, customer number, or payment account number linked to payment. The spatial location code can be the corresponding spatial location code for each user node in the pipeline topology, such as the corresponding spatial location code in a Geographic Information System (GIS). The external system code can be the user node's address information.

[0033] In some implementations, geographic location coordinates can be determined based on longitude and latitude, such as geographic location coordinates obtained from GPS or the Chinese BeiDou system.

[0034] In some implementations, both the node ID and the geographic coordinates are related to the location of the user node.

[0035] In some implementations, the water supply methods include a fully direct supply mode, a fully secondary water supply mode, and a mixed water supply mode. Specifically, in the fully direct supply mode, the water used by the user is directly supplied by the water source. In the fully secondary water supply mode, the water source delivers water to a water tank or other secondary water supply facility, which then delivers the water to the user.

[0036] In some implementations, building physical parameters include the building's highest number of floors and the highest number of floors directly supplied by the municipality.

[0037] In some implementations, the method further includes: obtaining the current water supply zone for each user node.

[0038] Optionally, based on the existing pipeline topology, the current water supply zone to which each user node belongs is obtained. The new zone scheme generated by this method is an optimization and reconstruction based on the existing water supply zones, aiming to adjust and transform some existing zones.

[0039] Step S200: Determine the pressure requirement value for each user node based on the water supply method and building physical parameters.

[0040] In some implementations, if the water supply method for a user node is a fully direct supply mode, the pressure requirement value is determined based on its building physical parameters. .

[0041] Optionally, pressure demand value The pressure demand increases with the number of building floors, and increases from the first floor to the second floor. The increment, and the pressure demand value for each additional floor above the second floor. The increments are different.

[0042] Alternatively, for a building in a fully direct-supply residential community with a total of N floors, if N is 1, then the pressure demand value is... Given a water head of 10 meters, if N is 2, then the pressure requirement is... Given a water head of 12 meters, if N is greater than 2, then the pressure requirement value is... =12 + 4 * (N - 2) meters of water head. In engineering calculations, one meter of water head ≈ 0.01 MPa.

[0043] In some implementations, if the water supply method for the user node is a fully secondary water supply mode, the pressure requirement value is determined based on the inlet pressure requirements of the secondary water supply facilities supplying water to the user node. .

[0044] Optionally, pressure demand value The minimum inlet pressure value required by the secondary water supply facility that provides services to this user node is directly adopted.

[0045] Optionally, pressure demand value The range is from 0.15 MPa to 0.35 MPa.

[0046] In some implementations, if the water supply method of a user node is a mixed water supply mode, the pressure demand value is calculated separately under the two modes of full direct supply mode and full secondary water supply mode, and the higher value is taken as the pressure demand value of the user node.

[0047] For example, this user node has a total of 10 layers, according to the formula The pressure demand value under the direct supply mode is calculated as 12 + 4 * (N - 2) meters of water head. =44 meters water head ≈ 0.44 MPa. The minimum required inlet water pressure for the secondary water supply facilities serving this user node is [value missing]. The pressure requirement is 0.3 MPa. The higher value between the two, 0.44 MPa, is chosen as the pressure requirement for this user node.

[0048] Step S300: Obtain the elevation information of multiple user nodes, and correct the pressure demand value based on the elevation information to obtain the corrected pressure demand value.

[0049] In some implementations, the elevation information includes at least one of the following: the altitude of the user node and the altitude of the corresponding water supply source, or the elevation of the user node and the elevation of the corresponding water supply source. The water supply source can be a municipal waterworks or a secondary water supply facility. Optionally, the elevation difference is calculated based on the elevation information, and the pressure demand value is corrected based on the elevation difference to determine the corrected pressure demand value.

[0050] Specifically, the elevation of the user node and the elevation of the corresponding water supply source are both the ground elevation of the node.

[0051] Alternatively, the elevation difference can be calculated using the following two formulas.

[0052] Formula 1: H= - ; in, H is the elevation difference between the user node and its corresponding water supply source. It is the altitude of the user node. It refers to the altitude of the water source.

[0053] Formula 2: H= - ; in, H is the elevation difference between the user node and its corresponding water supply source. It is the elevation of the user node. The elevation of the water supply source.

[0054] In some implementations, elevation information includes the elevation difference between the user node and its corresponding water supply source.

[0055] In some implementations, the corrected pressure demand value From pressure demand value The elevation difference between the user node and its corresponding water supply source is determined, and the corrected pressure demand value is calculated according to the formula. = +α* H; in, This is the corrected pressure demand value. This represents the pressure demand value. H represents the elevation difference between the user node and its corresponding water supply source, and α represents the first dynamic compensation coefficient.

[0056] Optionally, H can be either a positive or a negative number.

[0057] For example, suppose the water source is a water plant, and the user nodes are building A and building B. The water plant supplies water to both buildings A and B, and the outlet water pressure is the same for both buildings. For building A, whose altitude is lower than that of the water plant, the actual water pressure received by building A is the water pressure at the water plant's outlet plus the corresponding gravitational potential energy. Therefore... When H is negative, the required corrected pressure demand value Compared to pressure demand value Smaller, otherwise it might cause excessively high water pressure in building A. For building B, which is at a higher altitude than the water plant, the actual water pressure obtained by building A is the water pressure at the water plant's outlet minus the resistance encountered during upward transport. H is a positive number, representing the required corrected pressure demand value. Compared to pressure demand value Larger, otherwise it may cause the water pressure in building B to be too low.

[0058] This technical solution requires a pressure value. The correction takes into account the gravitational potential energy or transport resistance caused by the elevation difference between the user node and the water plant. Gravitational potential energy can cause the actual water pressure at the user node to be too high, while transport resistance can cause it to be too low. Therefore, the corrected pressure demand value is... It is more in line with actual working conditions, ensuring that the terminal water supply pressure of user nodes accurately meets the needs.

[0059] Optionally, the value of the first dynamic compensation coefficient α can be obtained by training a machine learning model, rather than by using a fixed constant.

[0060] Optionally, after determining the corrected pressure demand value When the value is α, it can be based on multiple user nodes supplied by the same water plant. The water pressure values ​​of the water plant supplying water to multiple user nodes are the same. The actual water pressure values ​​of multiple user nodes with different elevation differences can be obtained, thereby obtaining the value of the first dynamic compensation coefficient α, and continuously correcting it. The actual water pressure value is the water pressure value measured when the water plant supplies water to the user node.

[0061] In some implementations, the corrected pressure demand value From pressure demand value The elevation difference between the user node and its corresponding water source, as well as the pipeline transportation distance L between the water plant and the user node, are determined, i.e. = +α* H+β*L.

[0062] in, This is the corrected pressure demand value. This represents the pressure demand value. H is the elevation difference between the user node and its corresponding water supply source, α is the first dynamic compensation coefficient, β is the second dynamic compensation coefficient, and L is the pipeline transportation distance between the water plant and the user node.

[0063] Optionally, after determining the corrected pressure demand value When calculating the value, the pipeline transportation loss between the water plant and the user nodes is further considered. The loss is directly proportional to the pipeline transportation distance L. Based on multiple user nodes supplied by the same water plant, where each user node has the same elevation difference from the water plant but different pipeline transportation distances, the actual water pressure value of each user node is obtained to obtain the β value, thereby making the corrected pressure demand value... More precise.

[0064] In some implementations, the construction year and the production-to-sales ratio can be further considered as weighting factors, so that the zoning simultaneously serves pressure optimization and leakage control. Specifically, the construction year and pipeline material risk are directly proportional, the production-to-sales ratio is the ratio between the total water meter value of the user node and the total water supply value from the water source to the user node, and the production-to-sales ratio is directly proportional to the leakage risk.

[0065] Step S400: Determine the pressure demand level for each user node based on the pressure demand value.

[0066] Optionally, the pressure demand level of each user node can be determined based on the pressure demand value corrected in step 300.

[0067] In some implementations, based on the corrected pressure demand value of each user node, a total interval is generated according to the lowest and highest corrected pressure demand values ​​among all user nodes. The total interval is divided into multiple consecutive sub-intervals, where each sub-interval corresponds to a unique pressure demand level. The corresponding pressure demand level is determined according to the sub-interval in which the corrected pressure demand value of each user node is located.

[0068] Optionally, the total interval can be divided into N elevation intervals, with each interval being approximately 20 meters of water head. This generates N pressure demand levels, with each elevation interval corresponding to one demand level.

[0069] Step S500: Based on the pipeline topology, group multiple user nodes according to the geographical information and pressure demand level of each user node to form at least one block.

[0070] In some implementations, based on the pipeline topology, adjacent user nodes with the same pressure demand level are initially grouped according to their geographical information and pressure demand level to form at least one block. Here, adjacent user nodes with the same pressure demand level refer to geographically adjacent user nodes. For example, using... Figure 2 For example, based on the existing pipeline topology, each user node is assigned to the corresponding water supply zone according to the current water supply zone. The user nodes in the figure are represented by different colors, and each color represents a different ground elevation range.

[0071] In some implementations, adjacent user nodes with the same pressure demand level are initially grouped and then regrouped.

[0072] Optionally, the water supply path and pressure demand level of each block can be obtained; if there are adjacent blocks with connected water supply paths and the difference in pressure demand levels between them is less than a preset threshold, the corresponding adjacent blocks can be merged. For example, if there are two demand blocks with the same or similar pressure demand levels, and they are supplied by the same municipal trunk line or the same group of municipal trunk lines, and there are no other demand blocks or natural barriers (such as mountains or main roads) in between, then these two demand blocks can be merged.

[0073] Step S600: Determine the water supply network pressure zone based on at least one block.

[0074] In some implementations, the water pressure values ​​of all water supply pipes in each block are obtained, each block is divided into multiple sub-regions, and the maximum pressure demand value of each sub-region is determined according to the pressure demand level of each block. If the maximum pressure demand value of a certain sub-region is lower than the pressure value supplied by its water supply pipe, the sub-region is isolated as a separate zone.

[0075] Optionally, if a demand zone is traversed by a high-pressure main pipe but has a low demand level, consider installing a pressure-reducing valve at the zone's inlet to isolate it as a separate zone. For example, if a demand zone requires a pressure of 40 meters per second but is traversed by a 60-meter-head main pipe, a pressure-reducing valve should be installed at its inlet to isolate it as a separate zone. Otherwise, if this zone is supplied with water from the 60-meter-head main pipe for an extended period, the prolonged overpressure will increase the leakage rate of the pipe network, potentially leading to leaks or pipe bursts. Isolating it as a separate zone reduces the outlet pressure from the water source without affecting other zones.

[0076] In some implementations, the method further includes step S700: determining physical boundaries for each block based on the pipeline network topology, wherein the physical boundaries are preferentially determined based on at least one of the following location elements, including: municipal trunk lines, natural boundaries of terrain changes, and existing pumping stations or pressure reducing valves.

[0077] Optionally, based on the water supply network pressure zoning determined in step S600, and using the branch pipes of the network it serves as the framework, the zoning boundaries are determined. The boundaries are preferably selected on the municipal trunk lines to facilitate the installation of zoning isolation valves. The boundaries are also preferably selected at natural boundaries where the terrain changes, adapting to and utilizing the natural topography to achieve pressure zoning management. Furthermore, the boundaries are preferably selected near existing pumping stations or pressure reducing valve facilities, avoiding the construction of new valve wells, pump houses, and other civil engineering works, significantly saving investment and construction time.

[0078] The following section uses a water supply network in a district of Shenzhen as an example to illustrate the network pressure zoning optimization method provided in this application.

[0079] refer to Figure 2 , Figure 2 This is a schematic diagram of the water supply network topology and node ground elevations before optimization, showing the pressure zones of the water supply network. Figure 2 As shown in the diagram, different colors represent different ranges of node ground elevation. The diagram contains four water supply network pressure zones: A1, A2, B1, and B2. A1 and A2 both belong to water plant A. The node elevation range for A1 is 70 to 105m, and for A2 it is 55 to 80m. B1 and B2 both belong to water plant B. The node elevation range for B1 is 60 to 100m, and for B2 it is 77 to 110m. Therefore, according to the original node elevation division, A1 is the high zone of area A, A2 is the low zone of area A, B1 is the low zone of area B, and B2 is the high zone of area B.

[0080] refer to Figure 3 , Figure 3 This is a schematic diagram of the water supply network topology and node pressure distribution before optimization, such as... Figure 3As shown, due to the lack of consideration for the geographical information, water supply method, building physical parameters, and elevation information of multiple user nodes in the pre-optimization water supply network, some water supply network pressure zoning issues exist: 1. For A1, the actual pressure values ​​of most user nodes meet the required range, i.e., between 28 and 50 m, but there are some areas with pressure values ​​greater than 45 m, and some local user nodes with actual pressure values ​​below 24 m (light blue area), even below 10 m. 2. For A2, the required pressure values ​​for its users meet the required range, between 28 and 50 m, but there are large areas with pressure values ​​greater than 45, even greater than 60, and some local user nodes with actual pressure values ​​below 24 m (light blue area). 3. For B1, the actual pressure values ​​of most user nodes meet the required range, between 28 and 50 m, but some user nodes with actual pressure values ​​less than 24 m (light blue area), even below 14 m. 4. For B2, the actual pressure values ​​of most user nodes meet the required range, between 28 and 40m. The actual pressure values ​​of some user nodes are greater than 40m (dark blue and red areas), and the actual pressure values ​​of some user nodes are less than 24m (light blue area).

[0081] For the aforementioned water supply zones, even within the same zone, pressure distribution is uneven. For example, in zone A1, some areas have excessively high pressure while others have excessively low pressure. This results in some user nodes having actual pressure values ​​exceeding 45m, which can lead to pipe bursts, leaks, and wasted energy. Conversely, some user nodes have actual pressure values ​​below 24m, even reaching 10m, far below the normal range. This low pressure can cause very weak water flow from taps in users' homes, or even no water at all.

[0082] To this end, the geographical information, water supply method, building physical parameters, and elevation information of multiple user nodes A1, A2, B1, and B2 are obtained. Using the water supply network pressure zoning optimization method based on user characteristics and network topology provided in this application embodiment, the following is obtained: Figures 4 to 6 The pipeline network topology diagram.

[0083] After inputting the geographic information, water supply method, building physical parameters and elevation information of the region for multiple user nodes, the pressure demand value of each user node is obtained, and then merged to obtain a new optimized zoning scheme. Figure 4 This is a schematic diagram of the optimized pipeline topology and pipeline renovation area output by an embodiment of this application, and Figure 2 Compare and mark the optimized areas, such as Figure 4 As shown, the optimized areas are region A3, region A4, region A5, region B3, and region B4. Region B5 is also marked in the figure, but since this region involves long-term planning, it was not actually modified in this embodiment; its marking is only for indicating possible future modification directions. Therefore, subsequent... Figure 5 , Figure 6 There is no pressure distribution or pressure difference in region B5.

[0084] Figure 5 This is a schematic diagram of the optimized pipeline topology and node pressure distribution output by an embodiment of this application. 1. To solve the problem of uneven water supply pressure caused by topographic elevation differences, the area originally belonging to A3 is separately divided into the high zone of area A, and a new booster pump station is built.

[0085] like Figure 4 As shown, area A3 has a higher elevation, with the ground elevation of most nodes exceeding 90m, and some even reaching over 100m. Under the original water supply model, this area and the lower-lying area A1 were supplied with water through the same pipeline network. To ensure that the water pressure for users in the high-altitude A3 area met the standards, the water plant had to significantly increase the outlet water pressure. This resulted in a decrease in the water pressure in the lower-lying A1 area (…). Figure 4 The pipeline network in the green zone (where the winning bid was awarded) is under excessive pressure, resulting in conditions such as... Figure 3 The overpressure zone shown is the red area with a pressure value greater than 45m.

[0086] Through pressure demand analysis in steps S200-S400, it was identified that the pressure demand level of user node A3 in the region is higher than that of the surrounding areas. Therefore, breaking through the limitations of traditional zoning methods, A3 was established as an independent high-pressure zone, and a new pumping station was built to pressurize it separately.

[0087] like Figure 5 As shown, individual pressurization met the high water pressure requirements of area A3, eliminated the low-pressure area (below 10m), and avoided the impact of high factory water pressure on low-altitude areas, causing the water pressure of some overpressure nodes in area A1 that were originally greater than 45m to drop back to a reasonable range.

[0088] 2. To address the issue of insufficient pressure at some user nodes in the original A2 low-pressure zone, area A4, originally part of the low-pressure zone of area A, was reclassified as the medium-pressure zone of area A. Under the original zoning model, area A4 was designated as a low-pressure zone with an excessively low water supply pressure setting. This resulted in actual pressure values ​​below 10m at some higher elevations or at the end of the pipeline network, failing to meet users' normal water demand. Based on actual pressure demand analysis, A4 was adjusted to a medium-pressure zone, and the outlet pressure setting of the water treatment plant in this area was increased accordingly. After the adjustment, the actual pressure values ​​at most user nodes in area A4 increased to a reasonable range of 28-55m, eliminating the low-pressure zone (below 10m).

[0089] 3. The area A5, originally a low-pressure zone in area A, is changed to a medium-pressure zone in area A, thus changing the actual pressure range of this zone to 35 to 50 m. This is achieved through pipeline engineering and valve switching. The adjustment of area A5 from a low-pressure zone in area A to a medium-pressure zone in area A is based on the pipeline topology analysis in step S500. The water supply path of this area is connected to that of the adjacent blocks, and the pressure demand level difference is less than the preset threshold. Therefore, the zone adjustment can be achieved by switching valves without large-scale pipeline network modifications, thereby eliminating the low-pressure zone (below 10 m).

[0090] 4. Area B3 has a higher elevation, with some nodes exceeding 90m. Originally classified as a low-pressure zone, this resulted in severe water pressure deficiencies for users at these higher points, with some areas experiencing pressure drops below 14m. To meet the water demand of this area, Area B3 was reclassified as a high-pressure zone, thereby increasing the factory gate pressure. The previously low-pressure points below 14m in Area B3 have been effectively raised due to the increased factory gate pressure, improving pressure conditions. The actual pressure range for most user nodes in this zone has now become 30 to 50m.

[0091] 5. Combination Figure 4 The ground elevation of node B4 in region B4 is relatively low. Therefore, through the pressure demand analysis in steps S200-S400, it was identified that the pressure demand level of user nodes in region B4 is lower than that of the surrounding areas. Region B4, which was originally a high-pressure area in region B, was changed to a low-pressure area in region B, thereby reducing the factory pressure value of B4. This changed the actual pressure value range of this area to 28 to 43m, thus reducing its actual pressure value and achieving energy-saving effects.

[0092] Figure 6 This is a schematic diagram of the optimized pipeline topology and node pressure changes output by an embodiment of this application. Compared with the existing pipeline topology of water supply network pressure zoning, for region A3, after being divided into the high zone of region A, the maximum pressure increases by about 10m; for region A4, after being divided into the middle zone of region A, the maximum pressure increases by about 11 to 13m; for region A5, after being divided into the middle zone of region A, the maximum pressure increases by about 10m; for region B3, after being divided into the high zone of region B, the maximum pressure increases by about 4 to 7m; for region B4, after being divided into the low zone of region B, the pressure value of most user nodes decreases by about 1 to 3m.

[0093] Table 1 shows the current flow rate and the optimized flow rate data, as well as the water pressure elevation before and after optimization data of the existing water supply zones after optimization, based on the optimization method of this application.

[0094] Table 1

[0095] As shown in Table 1, the optimization involves two main aspects: First, dividing area A into three zones—the low zone, the middle zone, and the high zone—results in a decrease in pressure in the low and middle zones, thus saving energy and reducing consumption. The pressure in the high zone increases, ensuring the needs of users in higher elevations are met. Second, it increases the flow rate in the low zone of water plant B, meaning more pipelines are moved from the high zone to the low zone, reducing the pressure in these pipelines. Simultaneously, the flow rate in the high zone of B decreases, implying a reduction in the total amount of high-pressure water supplied, thereby achieving energy conservation and consumption reduction. Taking area A as an example, before optimization, the original water supply method resulted in excessively high pressure (45m) at some nodes in the low zone and insufficient pressure (<10m) at some nodes in the high zone. After optimization, area A is divided into three zones: the low zone, the middle zone, and the high zone, increasing the water supply pressure in areas with excessively low pressure to meet user needs. This classification is based on the pressure demand level analysis in step S400: users in different areas have different pressure requirements due to differences in building floors, water supply methods, and elevation information; at the same time, based on the pipeline topology analysis in step S500, it is ensured that each zone can be independently controlled through the existing pipeline network in engineering.

[0096] Table 2

[0097] As shown in Table 2, region A3 is designated as the high zone of region A, and its water supply pressure is increased from 28m to 47m, thus ensuring the needs of users in higher elevations without affecting areas with lower pressure requirements. Regions A4 and A5 are reclassified from the low zone of region A to the middle zone of region A, and their water supply pressure is increased from 12m to 24m, thereby increasing the actual water pressure at some user nodes below 10m. Region B3 is changed from the low zone of region B to the high zone of region B, and its water supply pressure is increased from 29m to 36m, thus ensuring the needs of users in higher elevations. Region B4 is changed from the high zone of region B to the low zone of region B, and its water supply pressure is decreased from 36m to 29m, thereby reducing its actual pressure and achieving energy savings.

[0098] After optimization using the water supply network pressure zoning optimization method based on user characteristics and network topology provided in this application, the daily electricity consumption was approximately 37,703 kWh / day, compared to approximately 40,182 kWh / day before optimization. This represents a daily energy saving of 2,479 kWh and an annual saving of 900,000 kWh. At a price of 0.7 yuan per kWh, this translates to an annual electricity cost reduction of 630,000 yuan. In area A, the average pressure was 41.76 m / s before optimization and 40.76 m / s after optimization, a reduction of 1.01 m / s. Since pressure and leakage rate are directly proportional, this resulted in a 0.17% reduction in leakage rate, leading to an annual reduction of 1.46 million m³ of water loss. At a water production price of 2 yuan / m³, this translates to an annual water production cost saving of 2.92 million yuan. The total annual savings in electricity and water costs amount to approximately 3.55 million yuan.

[0099] In summary, the water supply network pressure zoning optimization method 1 based on user characteristics and network topology provided in this application has the following advantages: 1. This application calculates the pressure demand value and corrected pressure demand value for each user node, and determines the corresponding pressure demand level for each user node based on the corrected pressure demand value. Based on the pipeline network topology, pressure demand levels are merged to form at least one block. Partitioning is performed considering the characteristics of user nodes to ensure precise matching of pressure supply with actual demand. Furthermore, the pipeline network topology is considered to facilitate the engineering implementation and maintenance of the pipeline network within each partition, ultimately forming the water supply network pressure partitioning in step S600. Figure 4 - Figure 6 As shown in Table 1, the optimized zoning scheme not only makes the pressure distribution in each area more uniform (e.g., the pressure in area A3 increases by about 10m, while the pressure in area B4 decreases by 1-3m), but also achieves energy conservation and consumption reduction. For example, the flow rate of high-pressure water supply in area B is reduced, while the flow rate of low-pressure water supply is increased accordingly, thereby saving energy.

[0100] 2. Transform experience-based partitioning into a data processing workflow based on clear rules, resulting in reproducible and evaluable results.

[0101] 3. The elevation information, water supply method, and building physical parameters of user nodes are used as the primary basis for zoning, so as to accurately match the pressure supply with the actual demand, avoid the waste of "high pressure for low use" from the source, and avoid the occurrence of water pipe burst accidents.

[0102] 4. Based on the zoning results, pressure regulation (such as increasing the water pressure value of the water plant supplying water to the zone) or pipeline renovation (such as replacing high-risk pipelines) can be carried out on the zones with concentrated high-pressure demand nodes first. The leakage reduction and energy saving effects are easier to predict and evaluate.

[0103] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of an electronic device 400 provided in an embodiment of this application. For example... Figure 7 As shown, the electronic device 400 includes: one or more processors 410 and a memory 420. Figure 7 Take a processor 410 as an example.

[0104] In some implementations, the processor 410 and the memory 420 may be connected via a bus or other means. Figure 7 Taking the example of a connection between China and Israel via a bus.

[0105] In some implementations, the processor 410 is configured to acquire geographic information, water supply methods, and building physical parameters of multiple user nodes; determine the pressure demand value of each user node based on the water supply methods and building physical parameters; determine the pressure demand level of each user node based on the pressure demand value; group the multiple user nodes according to the network topology and the geographic information and pressure demand level of each user node to form at least one block; and determine the water supply network pressure zoning based on the at least one block.

[0106] In some implementations, memory 420 serves as a non-volatile computer-readable storage medium, used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules of the water supply network pressure zoning optimization method based on user characteristics and network topology in the embodiments of this application. Processor 410 executes various functional applications and data processing of 400 by running the non-volatile software programs, instructions, and modules stored in memory 420, thereby implementing the water supply network pressure zoning optimization method based on user characteristics and network topology in the above-described method embodiments.

[0107] In some embodiments, memory 420 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; and the data storage area may store data created based on the use of 400, etc. Furthermore, memory 420 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 420 may optionally include memory remotely located relative to processor 410, and this remote memory may be connected to the controller via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0108] In some implementations, one or more modules are stored in memory 420. When executed by one or more processors 410, they perform the water supply network pressure zoning optimization method based on user characteristics and network topology in any of the above method embodiments. For example, they perform the above-described... Figure 1 The method steps S100 to S700.

[0109] In some implementations, it can be a chip, such as a data processing unit (DPU) chip used in data centers, or a network interface card that includes a chip and multiple interfaces (such as PCI / PCIE interfaces, UART interfaces, USB interfaces, etc.), or a traditional server, or a server that includes a network interface card or chip. The server includes a host and a data processor. The data processor is used to schedule packets to the host or the data processor itself for processing, and the host is used to process the packets scheduled by the data processor.

[0110] Please refer to Figure 8 , Figure 8 This is a structural block diagram of a computer-readable storage medium provided in an embodiment of this application. The computer-readable storage medium 500 stores program code 510, which can be called by a processor to execute the water supply network pressure zoning optimization method based on user characteristics and network topology described in the above method embodiments.

[0111] The computer-readable storage medium 500 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. In some embodiments, the computer-readable storage medium includes a non-volatile computer-readable storage medium. The computer-readable storage medium 500 has storage space for program code that performs any of the method steps in the above-described method for optimizing water supply network pressure zoning based on user characteristics and network topology. This program code can be read from or written to one or more computer program products. The program code may be compressed, for example, in a suitable form.

[0112] In summary, this application provides a method for optimizing water supply network pressure zoning based on user characteristics and network topology. The method includes acquiring the geographical information, water supply method, and building physical parameters of multiple user nodes; determining the pressure demand value of each user node based on the water supply method and building physical parameters; determining the pressure demand level of each user node based on the pressure demand value; grouping multiple user nodes according to their geographical information and pressure demand level based on the network topology to form at least one block; and determining the water supply network pressure zoning based on the at least one block. This application calculates the pressure demand value of each user node and determines the corresponding pressure demand level based on that value. Based on the network topology, the nodes are merged according to their pressure demand levels to form at least one block. Zoning considering the characteristics of user nodes ensures accurate matching of pressure supply with actual demand. Furthermore, combining this with the network topology makes the network within each zone easier to implement and maintain in engineering.

[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for optimizing water supply network pressure zoning based on user characteristics and network topology, characterized in that, The methods include: Obtain geographic information, water supply methods, and building physical parameters of multiple user nodes; The pressure requirement value for each user node is determined based on the water supply method and the building physical parameters. The pressure demand level of each user node is determined based on the pressure demand value. Based on the pipeline network topology, multiple user nodes are grouped according to the geographical information and pressure demand level of each user node to form at least one block. The water supply network pressure zones are determined based on at least one of the blocks.

2. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 1, characterized in that, Determining the pressure demand value based on the water supply method and the building's physical parameters includes: If the water supply method of the user node is a fully direct supply mode, the pressure requirement value is determined based on its building physical parameters; If the water supply method of the user node is a full secondary water supply mode, the pressure requirement value is determined according to the inlet pressure requirement of the secondary water supply facility of the user node. If the water supply method of the user node is a mixed water supply mode, then the pressure demand value of the user node is calculated under both the direct supply mode and the secondary supply mode, and the higher value is taken as the pressure demand value of the user node.

3. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 1, characterized in that, The method also includes: Obtain elevation information from multiple user nodes; The pressure demand value is corrected based on the elevation information to obtain the corrected pressure demand value; The pressure requirement level for each user node is determined based on the corrected pressure requirement value.

4. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 3, characterized in that, The step of correcting the pressure demand value based on the elevation information to obtain the corrected pressure demand value includes: Calculate the elevation difference between the user node and its corresponding water supply source based on the elevation information; The pressure demand value is corrected based on the elevation difference to obtain the corrected pressure demand value.

5. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 4, characterized in that, The step of correcting the pressure demand value based on the elevation difference to obtain the corrected pressure demand value includes: The pressure demand value is corrected based on the elevation difference, and the corrected pressure demand value is calculated according to the formula: = +α* H; in, This is the corrected pressure demand value. This represents the pressure demand value. H represents the elevation difference between the user node and its corresponding water supply source, and α represents the first dynamic compensation coefficient.

6. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 1 or 3, characterized in that, Determining the pressure demand level for each user node based on the pressure demand value includes: Based on the pressure demand value of each user node, a total interval is generated according to the lowest and highest corrected pressure demand values ​​among all user nodes. The total interval is then divided into multiple consecutive sub-intervals, where each sub-interval corresponds to a unique pressure demand level. The corresponding pressure demand level is determined based on the sub-range where the pressure demand value of each user node is located.

7. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 1, characterized in that, Based on the pipeline network topology, and according to the geographical information and pressure demand level of the user nodes, multiple user nodes are grouped to form at least one block, including: Based on the pipeline topology, and according to the geographical information and pressure demand level of the user nodes, adjacent user nodes with the same pressure demand level are initially grouped to form at least one block.

8. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 7, characterized in that, The method also includes: Obtain the water supply path and pressure requirement level for each block; If adjacent blocks have connected water supply paths and the difference in pressure demand levels between them is less than a preset threshold, the corresponding adjacent blocks will be merged.

9. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 1, characterized in that, Determining water supply network pressure zones based on at least one block includes: Obtain the water supply pressure values ​​of all water supply pipes within each block; Divide each block into multiple sub-regions; The maximum pressure requirement value for each sub-region is determined based on the pressure requirement level of each block. If the maximum pressure demand of a certain sub-region is lower than the pressure of the water supplied by its water supply pipeline, that sub-region shall be designated as a separate zone.

10. The method for optimizing water supply network pressure zoning based on user characteristics and network topology according to claim 1, characterized in that, Also includes: Based on the pipeline network topology, a physical boundary is determined for each block, wherein the physical boundary is preferentially determined based on at least one of the following location features; Location factors include: municipal trunk lines, natural boundaries of terrain changes, and existing pumping stations or pressure reducing valve facilities.

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