A system and method for dynamic water volume regulation during flushing of water supply networks.

Abstract

This invention relates to the field of water supply network flushing water volume control technology, and discloses a dynamic water volume adjustment system and method for flushing water supply networks. The method includes: establishing a dynamically adjustable flushing model by comprehensively considering various factors such as pipe section length, pressure bearing capacity, unflushing interval, chemical composition of flushing water, and its corrosive characteristics. The number of flushing cycles and the water volume for each flush are determined by calculating the pressure bearing capacity and length of each pipe section; then, a preset water volume is determined based on the unflushing interval and water quality; next, an adjustment coefficient is calculated by analyzing the influence of the chemical composition of the flushing water on the corrosion rate of the pipe sections; finally, based on this adjustment coefficient, the total water volume is dynamically adjusted to ensure that the flushing process achieves the predetermined cleaning effect while avoiding resource waste and excessive corrosion, thus optimizing the efficiency and safety of network cleaning and maintenance.

Description

Technical Field

[0001] This invention relates to the field of water supply network flushing water volume control technology, and more specifically, to a system and method for dynamic adjustment of water volume during flushing of water supply networks. Background Technology

[0002] With the acceleration of urbanization, water supply networks, as a crucial component of urban water supply systems, directly impact residents' quality of life and public health through their operational efficiency and water quality safety. Due to long-term water transport, deposits, impurities, and harmful substances accumulate within the pipes. These substances not only affect water quality but can also corrode the pipes, reducing their lifespan. Therefore, regular pipe flushing is an important measure to ensure water quality and extend pipe lifespan.

[0003] Existing water supply network flushing methods mostly rely on fixed time intervals or preset water volumes. However, this method does not fully consider the actual conditions of each pipe segment, such as pipe length, flow velocity, unflushed time, pipe material, and water quality changes. This may lead to unreasonable water usage, thus affecting the flushing effect. Too much water may lead to resource waste, while too little water may fail to achieve the expected cleaning effect and may even exacerbate pipe corrosion.

[0004] Therefore, how to dynamically adjust the amount of water used for flushing based on the actual operation of the pipeline and water quality monitoring data has become a key technical issue in optimizing the management of water supply networks. Summary of the Invention

[0005] In view of this, the present invention proposes a dynamic water volume adjustment system and method for flushing water supply networks, aiming to solve the problem that existing water supply network flushing methods fail to fully consider the actual conditions of the pipe sections, resulting in unreasonable use of flushing water volume, which affects the flushing effect, may cause resource waste or aggravate pipeline corrosion.

[0006] This invention proposes a method for dynamically adjusting the water volume during flushing of a water supply network, comprising:

[0007] Based on the distribution length of the water supply network and the pressure bearing capacity of each pipe section, the number of flushing times and the water volume corresponding to each flushing time are determined.

[0008] Obtain the unflushed interval time of each pipe section, and determine the preset water volume for flushing each pipe section based on the unflushed interval time of each pipe section;

[0009] The chemical material of the water used during flushing is obtained, and the chemical material is substituted into a pre-established pipe section cleaning model to obtain the corrosion rate of the water used during flushing.

[0010] The total water consumption for flushing the water supply network is determined based on the number of flushes and the water volume corresponding to each flush. An adjustment coefficient is determined based on the preset water volume for each pipe section during flushing and the corrosion rate of the water used during flushing. The total water consumption for flushing the water supply network is then adjusted according to the adjustment coefficient.

[0011] Furthermore, when determining the number of flushing cycles during the flushing of the water supply network based on the distribution length of the network and the pressure bearing capacity of each pipe section, the following steps are included:

[0012] Obtain the length and material strength information of each pipe segment, and determine the bearing capacity of each pipe segment based on the length and material strength information:

[0013] ;

[0014] Wherein, P is the bearing pressure of the pipe section, z is the weighting coefficient, L is the length of the pipe section, t is the wall thickness of the pipe section, σ is the material strength of the pipe section, D is the outer diameter of the pipe section, and Sf is the fatigue strength of the pipe section material.

[0015] Obtain the minimum bearing pressure between each pipe segment, obtain the maximum length between each pipe segment, and determine the number of flushing cycles during the flushing of the water supply network based on the relationship between the minimum bearing pressure and the maximum length.

[0016] ;

[0017] Wherein, N is the number of flushing cycles during the flushing of the water supply network, Lmax is the maximum length between each pipe segment, and Pmin is the minimum bearing pressure between each pipe segment.

[0018] Furthermore, when determining the water volume corresponding to each flushing cycle during the flushing of the water supply network based on the distribution length of the water supply network and the pressure bearing capacity of each pipe section, the following steps are taken:

[0019] The pressure loss and flow rate during a single flushing of the water supply network, the density of water used during flushing, and the water volume corresponding to each flushing cycle are determined based on the pressure loss and flow rate during a single flushing cycle, the water volume used during flushing, the distribution length, and the average inner diameter between each pipe segment.

[0020] ;

[0021] Wherein, Q is the water volume corresponding to the number of flushing cycles, d is the average inner diameter, ΔL is the distribution length, ΔP is the pressure loss during one flush in the water supply network, ρ is the density of water used during flushing, u is the flow velocity during one flush in the water supply network, and R is the average bearing pressure between each pipe section.

[0022] Furthermore, when determining the preset water volume for flushing each pipe section based on the unflushed interval of each pipe section, the following steps are included:

[0023] Obtain the average content of impurities and the average flow velocity in the water transported in each of the pipe sections;

[0024] Obtain the length and inner diameter of each pipe segment, and determine the preset water volume for each pipe segment based on the length and inner diameter of the pipe segment, the average impurity content, and the average transport flow rate.

[0025] J = L·c·x·v·b;

[0026] Wherein, J is the preset water volume of the pipe section, c is the inner diameter of the pipe section, x is the average impurity content, v is the average transport flow rate, and b is the unflushed interval of the pipe section.

[0027] Furthermore, the pre-established pipe section cleaning model includes:

[0028] Obtain the material of each pipe segment, the chemical composition of the water used for flushing, and the corrosion rate of the pipe segment material at different concentrations, and establish a corrosion correlation formula;

[0029] The distance metric between each corrosion correlation is obtained based on the corrosion rate, and a distance matrix for each chemical material is established based on the distance metric.

[0030] The distance matrix is ​​iteratively clustered, and the corrosion feature vectors of each chemical material are obtained after iterative clustering.

[0031] The pipe section cleaning model is established based on the corrosion feature vectors of each of the aforementioned chemical materials.

[0032] Furthermore, when determining the adjustment coefficient based on the preset water volume during flushing of each pipe section and the corrosion rate of the water used during flushing, the following are included:

[0033] Based on the preset water volume during flushing of each pipe section, the preset total water volume of the water supply network is determined, and based on the relationship between the preset total water volume and the total water consumption, the adjustment coefficient is determined;

[0034] When the preset total water volume is consistent with the total water consumption, the adjustment coefficient is determined to be A0;

[0035] When the preset total water volume is inconsistent with the total water consumption, the absolute value of the difference between the preset total water volume and the total water consumption is obtained, and the adjustment coefficient is determined based on the absolute value of the difference.

[0036] Furthermore, when determining the adjustment coefficient based on the absolute value of the water volume difference, the following steps are included:

[0037] The adjustment coefficient is determined based on the relationship between the absolute value of the water consumption difference and the pre-configured first and second preset water consumption differences:

[0038] When the absolute value of the water consumption difference is lower than the first preset water consumption difference, the adjustment coefficient is determined to be A0;

[0039] When the absolute value of the water consumption difference is greater than or equal to the first preset water consumption difference, and the absolute value of the water consumption difference is less than the second preset water consumption difference, then the adjustment coefficient is determined to be A1.

[0040] When the absolute value of the water consumption difference is greater than or equal to the second preset water consumption difference, the adjustment coefficient is determined to be A2;

[0041] Wherein, the first preset water consumption difference is less than the second preset water consumption difference, and A0 < A1 < A2 < 1.

[0042] Furthermore, when the adjustment coefficient is determined to be Ai, i=0,1,2, it includes:

[0043] Based on the corrosion rate of the water used during rinsing and the preset corrosion rate, determine whether the adjustment coefficient Ai needs to be corrected;

[0044] When the corrosion rate is lower than the preset corrosion rate, it is determined that the adjustment coefficient Ai will not be corrected.

[0045] When the corrosion rate is higher than or equal to the preset corrosion rate, a correction coefficient is determined based on the corrosion rate difference between the corrosion rate and the preset corrosion rate, and the adjustment coefficient Ai is corrected based on the correction coefficient.

[0046] Furthermore, when determining the correction coefficient based on the corrosion rate difference between the corrosion rate and the preset corrosion rate, the following steps are included:

[0047] The correction coefficient is determined based on the relationship between the corrosion rate difference and a pre-configured first preset corrosion rate difference and a second preset corrosion rate difference.

[0048] When the corrosion rate difference is lower than the first preset corrosion rate difference, the correction coefficient is determined to be S1;

[0049] When the corrosion rate difference is higher than or equal to the first preset corrosion rate difference, and the corrosion rate difference is lower than the second preset corrosion rate difference, the correction coefficient is determined to be S2.

[0050] When the corrosion rate difference is higher than or equal to the second preset corrosion rate difference, the correction coefficient is determined to be S3;

[0051] Wherein, the first preset corrosion rate difference is less than the second preset corrosion rate difference, and S1 < S2 < S3 < 1.

[0052] Compared with existing technologies, the advantages of this invention are as follows: Traditional methods for flushing water supply networks typically rely on fixed time intervals or preset water volumes, making it difficult to precisely adjust for the specific operating conditions of different pipe sections, leading to water waste or insufficient flushing effect. This invention, however, achieves more efficient and precise network maintenance by precisely and dynamically adjusting the flushing water volume. It dynamically calculates the required flushing water volume by comprehensively considering multiple factors such as the physical characteristics of the pipe section, pressure, unflushed intervals, water quality parameters, and corrosive components. In practical applications, the PIG device can operate along the pipeline and monitor pressure, sediment, pipe wall condition, and water quality changes within the pipe section in real time, thus providing more accurate decision-making basis. Specifically, this method combines data feedback from the PIG device to dynamically adjust the flushing frequency and water volume according to the distribution length and pressure of the pipe section, ensuring that each pipe section achieves the best flushing effect with minimal water consumption. Furthermore, compared to traditional simple water flow flushing methods, PIG technology effectively reduces the accumulation of contaminants in the pipeline by physically removing deposits from the pipe wall, thus improving flushing efficiency. By combining real-time water quality monitoring data, this method can dynamically optimize the flushing water volume based on the unflushing interval and water quality changes, ensuring that the differentiated cleaning needs of different pipe sections are met. Simultaneously, when addressing pipeline corrosion, this method utilizes data collected by a PIG device to analyze the chemical composition of the flushing water and optimizes it using a corrosion rate calculation model. By introducing a corrosion rate adjustment coefficient, the impact of water quality on the pipeline during flushing can be effectively controlled, reducing the adverse effects of corrosive components on pipeline lifespan and thus extending the pipeline's service life.

[0053] On the other hand, this application also provides a dynamic water volume adjustment system for flushing a water supply network, comprising:

[0054] The acquisition module is configured to acquire the unflushed interval time of each pipe segment, and the acquisition module is also configured to acquire the distribution length of the water supply network and the pressure bearing capacity of each pipe segment, and the acquisition module is also configured to acquire the chemical material of the water used during flushing.

[0055] An evaluation module, electrically connected to the acquisition module, is configured to determine the number of flushing operations and the corresponding water volume for each flushing operation based on the distribution length of the water supply network and the pressure bearing capacity of each pipe segment. The evaluation module is also configured to determine a preset water volume for flushing each pipe segment based on the unflushed interval of each pipe segment. Furthermore, the evaluation module is configured to substitute the chemical material into a pre-established pipe segment cleaning model to obtain the corrosion rate of the water used during flushing.

[0056] The central control module is electrically connected to the evaluation module. The central control module is configured to determine the total water consumption during flushing of the water supply network based on the number of flushing cycles and the water volume corresponding to each flushing cycle, determine the adjustment coefficient based on the preset water volume for each pipe section during flushing and the corrosion rate of the water used during flushing, and adjust the total water consumption during flushing of the water supply network based on the adjustment coefficient.

[0057] It is understood that the dynamic water volume adjustment system and method for flushing water supply networks in the above embodiments of the present invention have the same beneficial effects, and will not be described again. Attached Figure Description

[0058] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0059] Figure 1 A flowchart illustrating a method for dynamically adjusting water volume during flushing of a water supply network, provided in an embodiment of the present invention.

[0060] Figure 2 This is a structural block diagram of a water volume dynamic adjustment system for flushing a water supply network, provided as an embodiment of the present invention. Detailed Implementation

[0061] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0062] like Figure 1As shown in some embodiments of this application, this embodiment provides a method for dynamically adjusting the water volume during flushing of a water supply network, including:

[0063] Step S100: Based on the distribution length of the water supply network and the pressure bearing capacity of each pipe section, determine the number of flushing times and the water volume corresponding to each flushing time.

[0064] Specifically, when determining the number of flushing cycles during water supply network flushing based on the distribution length of the water supply network and the pressure bearing capacity of each pipe segment, the process includes: obtaining the length and material strength information of each pipe segment, and determining the pressure bearing capacity of each pipe segment based on the length and material strength information.

[0065] .

[0066] Where P is the bearing pressure of the pipe segment, z is the weighting coefficient, L is the length of the pipe segment, t is the wall thickness of the pipe segment, σ is the material strength of the pipe segment, D is the outer diameter of the pipe segment, and Sf is the fatigue strength of the pipe segment material. The minimum bearing pressure between each pipe segment and the maximum length between each pipe segment are obtained. Based on the relationship between the minimum bearing pressure and the maximum length, the number of flushing cycles during water supply network flushing is determined.

[0067] .

[0068] Where N is the number of flushing cycles during water supply network flushing, Lmax is the maximum length between pipe sections, and Pmin is the minimum pressure between pipe sections.

[0069] Specifically, when determining the water volume corresponding to each flushing cycle during water supply network flushing, based on the distribution length of the water supply network and the pressure bearing capacity of each pipe segment, the process includes: obtaining the pressure loss and flow velocity during a single flushing cycle in the water supply network, the water density during flushing, and determining the water volume corresponding to each flushing cycle based on the pressure loss and flow velocity during a single flushing cycle, the water density during flushing, the distribution length, and the average inner diameter between each pipe segment.

[0070] .

[0071] Where Q is the water volume corresponding to the number of flushing cycles, d is the average inner diameter, ΔL is the distribution length, ΔP is the pressure loss during one flush in the water supply network, ρ is the density of water used during flushing, u is the flow velocity during one flush in the water supply network, and R is the average bearing pressure between each pipe section.

[0072] Understandably, the fundamental principle for determining the flushing frequency of a water supply network is a comprehensive assessment based on the pressure-bearing capacity and distribution length of the pipe segments. The pressure-bearing capacity P of each pipe segment is calculated based on factors such as the segment's length L, wall thickness t, material strength σ, and outer diameter D. To assess the pressure limit a pipe segment can withstand during flushing, the material's fatigue strength Sf and material properties must also be considered. Therefore, by obtaining information on the material strength and length of each pipe segment and using appropriate formulas to calculate the pressure-bearing capacity, a basis for determining the flushing frequency of the network can be provided. Secondly, the determination of the flushing frequency depends on the relationship between the minimum pressure-bearing capacity of the pipe segment (Pmin) and the maximum length between pipe segments (Lmax). By combining the minimum pressure-bearing capacity with the maximum length of the pipe segment, the flushing requirements of the entire network can be determined more accurately. Specifically, longer pipe segments may require more flushing frequency, while segments with lower pressure-bearing capacity require more frequent flushing to prevent excessive pressure on the pipeline and potential damage. This method allows for dynamic adjustment of the flushing frequency, enabling optimized flushing of the network under different pipe segments and operating conditions based on actual circumstances. Meanwhile, the technical principle for determining the water volume corresponding to each flushing cycle is based on calculations using the pressure loss, flow velocity, and water density during a single flush in the pipe network. Specifically, by obtaining the pressure loss (ΔP), flow velocity (u), and flushing water density (ρ) during a single flush, the required water volume for each flush can be calculated by combining the distributed length of the pipe network (ΔL) and the average inner diameter (d) of each pipe segment. This calculation method comprehensively considers the fluid dynamics characteristics of the pipe network, ensuring that the water volume used for each flush is appropriate, avoiding water waste while guaranteeing thorough cleaning of the pipes. Flow velocity and pressure loss are key factors affecting flushing effectiveness and water volume requirements. Flow velocity (u) directly affects the contact efficiency between the water flow and the pipe wall; a higher flow velocity can accelerate the flushing of deposits within the pipe. Pressure loss (ΔP) reflects the resistance of water flow through the pipe. Based on these parameters, the required water volume Q for flushing can be accurately calculated, ensuring that each flush effectively removes impurities and deposits from the pipe and avoids incomplete cleaning due to insufficient flushing intensity. Finally, considering all parameters, the adjustment coefficient plays a crucial role in the dynamic regulation of flushing water volume. By determining the adjustment coefficient based on factors such as pressure loss, flow velocity, pipe segment length, and average pressure (R) during flushing, the flushing water volume for each pipe segment can be optimized. For example, longer pipe segments or those with lower pressure may require more water to improve flushing effectiveness, while shorter pipe segments with higher pressure can have their flushing water volume reduced, thus avoiding water waste.

[0073] It can be seen that by determining the flushing frequency and water volume for each flush based on the distribution length of the water supply network and the pressure bearing capacity of the pipe sections, precise control of the network flushing frequency and water consumption can be achieved. Traditional methods often determine the flushing frequency and water volume based on fixed time intervals or empirical data, without considering the specific physical characteristics and pressure bearing capacity of the pipe sections. By combining parameters such as pipe section length, pressure bearing capacity, and material strength, this method can dynamically adjust the flushing frequency and water volume, ensuring that each pipe section receives effective and appropriate flushing under different operating conditions, thereby maximizing the cleaning effect and reducing unnecessary resource waste. Secondly, by comprehensively considering various factors such as the material strength, wall thickness, outer diameter, and fatigue strength of the pipe sections, the pressure bearing capacity of each pipe section can be more accurately assessed. This assessment helps avoid the pipeline being subjected to excessive flushing pressure, thereby preventing pipeline rupture or aging. In addition, differences in pipe material and structure lead to different water flow bearing capacities in the pipe sections. Therefore, by dynamically adjusting the flushing pressure and water volume based on the characteristics of the pipe sections, the risk of corrosion can be effectively reduced and the service life of the pipeline can be extended. Third, this method further optimizes the allocation of flushing cycles by calculating the relationship between the minimum bearing pressure and the maximum length between pipe segments. Differences in the length and bearing pressure of different pipe segments affect the efficiency and necessity of flushing. Therefore, using the relationship between minimum bearing pressure and maximum length to determine the number of flushing cycles ensures that each pipe segment receives an appropriate number of flushing cycles, effectively avoiding over-flushing or under-flushing, and thus achieving rational resource utilization. Fourth, based on parameters such as pressure loss, flow velocity, water density, and the average inner diameter of the pipe segment during a single flush, the required water volume (Q) for each flush can be accurately calculated. By comprehensively considering the physical characteristics of water flow, the water volume can be precisely adjusted according to the actual situation of different pipe segments, ensuring an efficient and balanced flushing process and avoiding the risk of resource waste or incomplete cleaning caused by excessive or insufficient water volume in traditional methods. Finally, the introduction of an adjustment coefficient provides flexibility for the dynamic adjustment of flushing water volume. By combining data such as the average bearing pressure, pressure loss, and flow velocity of each pipe segment, the adjustment coefficient can fine-tune the flushing water volume according to the actual situation, ensuring that each flush minimizes damage to the pipeline and waste of resources while ensuring cleaning effectiveness. The application of this method can significantly improve the management efficiency of water supply networks and reduce overall operation and maintenance costs.

[0074] Preferably, after determining the number of flushing cycles and water volume, the flushing strategy can be further optimized based on the characteristics of the friction balls. The friction balls possess a certain degree of elasticity and friction, enabling them to clean the pipe wall through friction under the influence of water flow. For pipe sections with high pressure and long lengths, an appropriate number of friction balls can be added during each flush to improve the flushing effect. When the number of flushing cycles is high, the density of friction balls can be appropriately increased to ensure continuous cleaning during multiple flushing processes. For example, when the number of flushing cycles reaches three or more, friction balls can be added per meter of pipe section, adjusted according to the actual conditions of the pipe section.

[0075] Step S200: Obtain the unflushing interval of each pipe section, and determine the preset water volume for flushing each pipe section based on the unflushing interval of each pipe section.

[0076] Specifically, when determining the preset water volume for flushing each pipe segment based on the unflushing interval, the process includes: obtaining the average impurity content and average flow velocity of the water transported in each pipe segment; obtaining the length and inner diameter of each pipe segment; and determining the preset water volume for each pipe segment based on the length and inner diameter, average impurity content, and average flow velocity: J = L·c·x·v·b. Where J is the preset water volume for the pipe segment, c is the inner diameter of the pipe segment, x is the average impurity content, v is the average flow velocity, and b is the unflushing interval of the pipe segment.

[0077] Understandably, by determining the preset water volume for each pipe segment based on its unflushed interval, this method can precisely adjust the water volume required for each segment during flushing. The unflushed interval reflects the time water spends flowing within the pipe; segments with longer unflushed intervals may accumulate more sediment or impurities, thus requiring a larger flushing volume. Dynamically adjusting the preset water volume for each segment ensures the effectiveness of each flush, avoiding under- or over-flushing and optimizing water resource utilization. Secondly, the preset water volume for each pipe segment is dynamically determined by calculating the average impurity content and average transport velocity within the segment. The impurity content in the water is closely related to the water flow velocity; impurity accumulation and flow velocity directly affect the cleaning effect of the pipe segment. By obtaining these parameters, the required flushing water volume for each segment can be reasonably estimated, ensuring that sediment and impurities are thoroughly removed during flushing, achieving optimal cleaning results. Thirdly, combining the length and inner diameter of the pipe segment allows for a more accurate assessment of the hydrodynamic characteristics of each segment. The pipe segment length affects the resistance to water flow, while the inner diameter determines the smoothness of water flow. By combining the geometric characteristics of pipe sections with impurity content and flow velocity to calculate the preset water volume, a customized flushing plan can be tailored to the actual conditions of different pipe sections, avoiding uneven flushing caused by excessive differences in pipe sections. Fourth, it can comprehensively consider factors such as pipe length, inner diameter, impurity content, and flow velocity to scientifically calculate the flushing water volume for each pipe section. This comprehensive calculation method improves the accuracy of the flushing process, avoids the shortcomings of relying on empirical data or single factors, and thus ensures the maximum effect of each flush. Finally, adjusting the preset water volume based on the characteristics of each pipe section not only improves the flushing effect but also reduces potential damage to the pipeline. Too much water will lead to unnecessary waste of resources and may also cause excessive pressure on the pipeline, leading to damage; while too little water may result in incomplete cleaning and ineffective removal of deposits. By precisely adjusting the preset water volume for each pipe section, this method achieves the rational use of water resources, reduces waste, and ensures the long-term stability and cleanliness of the pipeline.

[0078] Preferably, the selection and use of friction balls are adjusted according to the preset water volume. For pipe sections with a larger preset water volume, meaning there may be more impurities inside the pipe, friction balls with higher friction can be selected. Simultaneously, the number of friction balls added can be increased proportionally; for example, when the preset water volume exceeds a certain threshold (e.g., 10 cubic meters), one friction ball can be added per cubic meter of water. In this way, during high-volume water flushing, the friction balls can better cooperate with the water flow to clean the pipe walls.

[0079] Step S300: Obtain the chemical material of the water used during rinsing, and substitute the chemical material into the pre-established pipe section cleaning model to obtain the corrosion rate of the water used during rinsing.

[0080] Specifically, the pre-established pipe section cleaning model includes: acquiring the material of each pipe section, the chemical composition of the water used for each flushing process, and the corrosion rate of different concentrations on the pipe section materials, and establishing corrosion correlations. Based on the corrosion rate, the distance metric between each corrosion correlation is obtained, and a distance matrix for each chemical material is established based on the distance metric. Iterative clustering is performed on the distance matrix, and the corrosion feature vector of each chemical material after iterative clustering is obtained. The pipe section cleaning model is then established based on the corrosion feature vectors of each chemical material.

[0081] Understandably, obtaining the chemical composition of the flushing water and substituting it into the pipe cleaning model to determine the corrosion rate allows for dynamic adjustments to the cleaning process based on the characteristics of different water qualities. Different chemical compositions may have varying impacts on the corrosion rate of pipe sections. Therefore, by analyzing and quantifying these impacts, the corrosion rate can be accurately calculated, thereby optimizing the flushing plan and avoiding accelerated pipe damage due to excessively rapid corrosion or poor cleaning results due to excessively slow corrosion. Secondly, establishing corrosion correlations and calculating the relationship between corrosion rate and different chemical compositions and their concentrations allows for precise assessment of the corrosion degree of different chemical compositions at different concentrations on pipe sections. This process helps in the scientific selection of appropriate chemical compositions and concentrations, ensuring cleaning effectiveness while reducing the corrosive impact of chemicals on the pipes, thus balancing the relationship between cleaning effectiveness and pipe safety. Thirdly, the introduction of distance metrics and distance matrices provides a method for quantifying the differences in corrosion characteristics between chemical compositions. By calculating the distance metrics between chemical compositions, the different impacts of different chemical compositions on the corrosion rate can be revealed, helping cleaning operators select the most suitable combination of chemical compositions. Furthermore, the distance matrix established based on the distance metrics can effectively classify and group chemical compositions, providing a basis for subsequent optimization decisions. Fourth, the application of iterative clustering allows for continuous optimization of corrosion feature vectors, leading to more accurate corrosion prediction. Cluster analysis identifies potential corrosion patterns in different chemical materials during cleaning, further improving the accuracy of the pipe cleaning model. The iterative process helps adjust the model based on new corrosion data, ensuring each cleaning operation is performed under optimal corrosion conditions, thus guaranteeing the long-term safe operation of the pipeline. Finally, establishing a pipe cleaning model and optimizing the cleaning process based on the corrosion feature vectors of chemical materials significantly improves flushing efficiency and safety. By establishing a scientific model, damage to pipe sections from different cleaning agents can be predicted and avoided, ensuring that the corrosion rate of the water used during flushing remains within the safe range that the pipeline can withstand. This not only extends the service life of the pipeline and reduces maintenance costs but also improves the overall management level and resource utilization efficiency of the water supply network.

[0082] Specifically, considering that the corrosion rate of the rinsing water affects the performance and lifespan of the friction balls, the material selection of the friction balls should be adjusted according to the corrosion rate. When the corrosion rate is high, friction balls with good corrosion resistance, such as those made of polyethylene plastic, should be selected; when the corrosion rate is low, friction balls made of ordinary rubber can be used. At the same time, under high corrosion rates, the amount of friction balls used should be appropriately reduced to prevent them from being corroded and damaged too quickly, thus affecting the cleaning effect or causing pipe blockage.

[0083] Step S400: Determine the total water consumption for flushing the water supply network based on the number of flushing cycles and the water volume corresponding to each flushing cycle. Determine the adjustment coefficient based on the preset water volume for each pipe section during flushing and the corrosion rate of the water used during flushing. Adjust the total water consumption for flushing the water supply network based on the adjustment coefficient.

[0084] Specifically, when determining the adjustment coefficient based on the preset water volume for flushing each pipe section and the corrosion rate of the water used during flushing, the following steps are taken: First, determine the preset total water volume of the water supply network based on the preset water volume for flushing each pipe section. Then, determine the adjustment coefficient based on the relationship between the preset total water volume and the total water consumption. When the preset total water volume and the total water consumption are consistent, the adjustment coefficient is set to A0. When the preset total water volume and the total water consumption are inconsistent, obtain the absolute value of the difference in water consumption between the preset total water volume and the total water consumption, and determine the adjustment coefficient based on this absolute value.

[0085] Specifically, when determining the adjustment coefficient based on the absolute value of the water volume difference, the following steps are taken: The adjustment coefficient is determined based on the relationship between the absolute value of the water volume difference and the pre-configured first preset water volume difference and the second preset water volume difference: When the absolute value of the water volume difference is lower than the first preset water volume difference, the adjustment coefficient is determined to be A0. When the absolute value of the water volume difference is greater than or equal to the first preset water volume difference and less than the second preset water volume difference, the adjustment coefficient is determined to be A1. When the absolute value of the water volume difference is greater than or equal to the second preset water volume difference, the adjustment coefficient is determined to be A2. Wherein, the first preset water volume difference is less than the second preset water volume difference, and A0 < A1 < A2 < 1.

[0086] Specifically, when the adjustment coefficient is determined to be Ai, i=0,1,2, the following steps are taken: First, determine whether to correct the adjustment coefficient Ai based on the corrosion rate of the water used during rinsing and a preset corrosion rate. If the corrosion rate is lower than the preset corrosion rate, then no correction is required for the adjustment coefficient Ai. If the corrosion rate is higher than or equal to the preset corrosion rate, then a correction coefficient is determined based on the difference between the corrosion rate and the preset corrosion rate, and the adjustment coefficient Ai is corrected accordingly.

[0087] Specifically, when determining the correction coefficient based on the corrosion rate difference between the corrosion rate and a preset corrosion rate, the following steps are taken: The correction coefficient is determined based on the relationship between the corrosion rate difference and a pre-configured first preset corrosion rate difference and a second preset corrosion rate difference: When the corrosion rate difference is lower than the first preset corrosion rate difference, the correction coefficient is determined to be S1. When the corrosion rate difference is higher than or equal to the first preset corrosion rate difference and lower than the second preset corrosion rate difference, the correction coefficient is determined to be S2. When the corrosion rate difference is higher than or equal to the second preset corrosion rate difference, the correction coefficient is determined to be S3. Wherein, the first preset corrosion rate difference is less than the second preset corrosion rate difference, and S1 < S2 < S3 < 1.

[0088] Understandably, by dynamically adjusting the total water consumption based on the number of flushes and the water volume, this method ensures that the water supply network uses a reasonable amount of water during flushing. By accurately calculating the preset water volume for each pipe section and the water volume corresponding to each flushing cycle, and combining this with the actual water demand during flushing, the total water consumption can be dynamically adjusted, avoiding the problem of too much or too little water. This not only optimizes the efficiency of water resource use and reduces waste, but also maximizes the flushing effect, ensuring that each pipe section is thoroughly cleaned. Secondly, by introducing adjustment coefficients, flexible adjustments can be made between the preset water volume and the actual water consumption. The adjustment coefficients are set based on the difference in water consumption. If there is a difference between the preset total water volume and the actual water consumption, it can be dynamically adjusted according to the set difference. The specific adjustment coefficients (A0, A1, A2) are adjusted according to the magnitude of the water volume difference, so that the water volume for each flush is closer to the actual demand, avoiding resource waste or insufficient cleaning due to inaccurate estimation. Thirdly, the influence of corrosion rate on the pipeline is considered in the determination of the adjustment coefficients. By comparing the current water quality with a preset corrosion rate, it can be determined whether the current water quality and chemical materials pose an excessive risk of corrosion to the pipeline. If the corrosion rate is too fast during flushing, the water volume can be reduced by adjusting the adjustment coefficient, thereby preventing pipeline damage due to excessive corrosion. Through this mechanism, the long-term stability and safety of the pipeline are effectively guaranteed. Fourth, the accuracy of the adjustment coefficient is further improved by calculating the corrosion rate difference and introducing a correction coefficient. In the case of excessively fast corrosion, the correction coefficient can help adjust the adjustment coefficient, reduce the flushing water volume, and thus mitigate the corrosive effect of chemical materials on the pipeline. Based on different corrosion rate differences, the correction coefficient can be automatically adjusted so that each flush is within an optimal corrosion control range. This dynamic adjustment mechanism effectively avoids unsatisfactory cleaning results caused by excessively fast or slow corrosion rates, extending the service life of the pipeline. Finally, the adjustment mechanism described in this section ensures that the flushing process of the water supply network is efficient, safe, and resource-saving. Based on different water consumption and corrosion rate differences, precise adjustments are made in multiple dimensions to avoid resource waste due to over-flushing or incomplete cleaning due to insufficient flushing. Especially considering the impact of corrosion rate on pipelines, this method can reduce damage to pipelines while ensuring flushing effect, improve the long-term performance of pipelines, and reduce subsequent maintenance costs.

[0089] In the above embodiments, during the flushing process of water supply networks, traditional methods typically rely on fixed time intervals or preset water volumes for flushing, making it difficult to precisely adjust for the specific operating conditions of different pipe sections, resulting in water waste or insufficient flushing effect. This invention, however, achieves more efficient and precise network maintenance by precisely and dynamically adjusting the flushing water volume. By comprehensively considering multiple factors such as the physical characteristics of the pipe section, pressure bearing capacity, unflushed intervals, water quality parameters, and corrosive components, the required flushing water volume is dynamically calculated. In practical applications, the PIG device can run along the pipeline and monitor pressure, sediment, pipe wall condition, and water quality changes within the pipe section in real time, thus providing more accurate decision-making basis. Specifically, this method combines data feedback from the PIG device to dynamically adjust the flushing frequency and water volume according to the distribution length and pressure bearing capacity of the pipe section, ensuring that each pipe section achieves the best flushing effect with minimal water consumption. Furthermore, compared to traditional simple water flow flushing methods, PIG technology effectively reduces the accumulation of contaminants in the pipeline by physically removing deposits on the pipe wall, thus improving flushing efficiency. By combining real-time water quality monitoring data, this method can dynamically optimize the flushing water volume based on the unflushing interval and water quality changes, ensuring that the differentiated cleaning needs of different pipe sections are met. Simultaneously, when addressing pipeline corrosion, this method utilizes data collected by a PIG device to analyze the chemical composition of the flushing water and optimizes it using a corrosion rate calculation model. By introducing a corrosion rate adjustment coefficient, the impact of water quality on the pipeline during flushing can be effectively controlled, reducing the adverse effects of corrosive components on pipeline lifespan and thus extending the pipeline's service life.

[0090] In another preferred embodiment based on the above embodiments, such as Figure 2 As shown, this embodiment provides a dynamic water volume adjustment system for flushing water supply networks, including: an acquisition module, an evaluation module, and a central control module.

[0091] Specifically, the acquisition module is configured to acquire the unflushed interval of each pipe segment, the distribution length of the water supply network, the pressure bearing capacity of each pipe segment, and the chemical composition of the water used during flushing. The evaluation module is electrically connected to the acquisition module and is configured to determine the number of flushing cycles and the corresponding water volume for each flushing cycle based on the distribution length of the water supply network and the pressure bearing capacity of each pipe segment. The evaluation module is also configured to determine the preset water volume for flushing each pipe segment based on the unflushed interval. Furthermore, the evaluation module is configured to input the chemical composition into a pre-established pipe segment cleaning model to acquire the corrosion rate of the water used during flushing. The central control module is electrically connected to the evaluation module and is configured to determine the total water consumption for flushing the water supply network based on the number of flushing cycles and the corresponding water volume, determine an adjustment coefficient based on the preset water volume for each pipe segment and the corrosion rate of the water used during flushing, and adjust the total water consumption for flushing the water supply network according to the adjustment coefficient.

[0092] It is understood that the dynamic water volume adjustment system and method for flushing water supply networks in the above embodiments of the present invention have the same beneficial effects, and will not be described again.

[0093] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0094] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0095] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0096] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for dynamically adjusting water volume during flushing of a water supply network, characterized in that, include: Based on the distribution length of the water supply network and the pressure bearing capacity of each pipe section, determine the number of flushing times and the corresponding water volume for each flushing time. Obtain the unflushed interval of each pipe section, and determine the preset water volume for flushing each pipe section based on the unflushed interval of each pipe section; Obtain the chemical material of the water used during flushing, and substitute the chemical material into a pre-established pipe section cleaning model to obtain the corrosion rate of the water used during flushing; Based on the number of flushing cycles and the corresponding water volume for each flushing cycle, the total water consumption for flushing the water supply network is determined. Based on the preset water volume for each pipe section during flushing and the corrosion rate of the water used during flushing, the adjustment coefficient is determined, and the total water consumption for flushing the water supply network is adjusted according to the adjustment coefficient. The pre-established pipe section cleaning model includes: Obtain the material of each pipe section, the chemical composition of the water used during each flushing process, and the corrosion rate of the pipe section material at different concentrations, and establish corrosion correlation formulas; The distance metric between each corrosion correlation is obtained based on the corrosion rate, and a distance matrix for each chemical material is established based on the distance metric. Perform iterative clustering on the distance matrix and obtain the corrosion feature vectors of each chemical material after iterative clustering; A pipe section cleaning model is established based on the corrosion feature vectors of various chemical materials.

2. The method for dynamically adjusting water volume during flushing of a water supply network as described in claim 1, characterized in that, When determining the number of flushing cycles for a water supply network based on its length and the pressure resistance of each pipe section, the following factors are considered: Obtain the length and material strength information of each pipe segment, and determine the bearing capacity of each pipe segment based on the length and material strength information: ; Where P is the bearing pressure of the pipe section, z is the weighting coefficient, L is the length of the pipe section, t is the wall thickness of the pipe section, σ is the material strength of the pipe section, D is the outer diameter of the pipe section, and Sf is the fatigue strength of the pipe section material. Obtain the minimum bearing pressure between each pipe segment, obtain the maximum length between each pipe segment, and determine the number of flushing cycles during water supply network flushing based on the relationship between the minimum bearing pressure and the maximum length. ; Where N is the number of flushing cycles during water supply network flushing, Lmax is the maximum length between pipe sections, and Pmin is the minimum pressure between pipe sections.

3. The method for dynamically adjusting water volume during flushing of a water supply network as described in claim 2, characterized in that, When determining the water volume corresponding to each flushing cycle during water supply network flushing, based on the distribution length of the water supply network and the pressure bearing capacity of each pipe section, the following should be considered: Obtain the pressure loss and flow velocity during a single flushing of the water supply network, as well as the density of water used during flushing. Based on the pressure loss and flow velocity during a single flushing, the density of water used during flushing, the distribution length, and the average inner diameter between each pipe segment, determine the water volume corresponding to each flushing cycle. ; Where Q is the water volume corresponding to the number of flushing cycles, d is the average inner diameter, ΔL is the distribution length, ΔP is the pressure loss during one flush in the water supply network, ρ is the density of water used during flushing, u is the flow velocity during one flush in the water supply network, and R is the average bearing pressure between each pipe section.

4. The method for dynamically adjusting water volume during flushing of a water supply network as described in claim 3, characterized in that, When determining the preset water volume for flushing each pipe section based on the unflushed interval, the following should be included: Obtain the average content of impurities and the average flow velocity in the water transported in each pipe section; Obtain the length and inner diameter of each pipe section, and determine the preset water volume for flushing each pipe section based on the pipe section length and inner diameter, average impurity content, and average transport flow rate. J = L·c·x·v·b; Where J is the preset water volume for flushing the pipe section, c is the inner diameter of the pipe section, x is the average impurity content, v is the average transport flow rate, and b is the interval between unflushed pipe sections.

5. The method for dynamically adjusting water volume during flushing of a water supply network as described in claim 1, characterized in that, When determining the adjustment coefficient based on the preset water volume for flushing each pipe section and the corrosion rate of the water used during flushing, the following should be included: Based on the preset water volume for flushing each pipe section, determine the preset total water volume of the water supply network, and determine the adjustment coefficient based on the relationship between the preset total water volume and the total water consumption. When the preset total water volume matches the total water consumption, the adjustment coefficient is set to A0. When the preset total water volume is inconsistent with the total water consumption, the absolute value of the difference between the preset total water volume and the total water consumption is obtained, and the adjustment coefficient is determined based on the absolute value of the difference in water consumption.

6. The method for dynamically adjusting water volume during flushing of a water supply network as described in claim 5, characterized in that, When determining the adjustment coefficient based on the absolute value of the difference in water consumption, the following should be included: The adjustment coefficient is determined based on the relationship between the absolute value of the water consumption difference and the pre-configured first and second preset water consumption differences: When the absolute value of the difference in water consumption is lower than the first preset difference in water consumption, the adjustment coefficient is determined to be A0; When the absolute value of the difference in water consumption is greater than or equal to the first preset difference in water consumption, and the absolute value of the difference in water consumption is less than the second preset difference in water consumption, the adjustment coefficient is determined to be A1. When the absolute value of the difference in water consumption is greater than or equal to the second preset difference in water consumption, the adjustment coefficient is determined to be A2. Among them, the first preset water consumption difference is less than the second preset water consumption difference, and A0 < A1 < A2 < 1.

7. The method for dynamically adjusting water volume during flushing of a water supply network as described in claim 6, characterized in that, When the adjustment coefficient is determined to be Ai, i=0,1,2, it includes: Based on the corrosion rate of the water used during rinsing and the preset corrosion rate, determine whether the adjustment coefficient Ai needs to be corrected; If the corrosion rate is lower than the preset corrosion rate, then it is determined that the adjustment coefficient Ai will not be corrected. When the corrosion rate is higher than or equal to the preset corrosion rate, a correction coefficient is determined based on the difference between the corrosion rate and the preset corrosion rate, and the adjustment coefficient Ai is corrected based on the correction coefficient.

8. The method for dynamically adjusting water volume during flushing of a water supply network as described in claim 7, characterized in that, When determining the correction factor based on the difference between the corrosion rate and the preset corrosion rate, the following factors are included: Based on the relationship between the corrosion rate difference and the pre-configured first and second preset corrosion rate differences, a correction coefficient is determined: When the corrosion rate difference is lower than the first preset corrosion rate difference, the correction coefficient is determined to be S1; When the corrosion rate difference is higher than or equal to the first preset corrosion rate difference and lower than the second preset corrosion rate difference, the correction coefficient is determined to be S2. When the corrosion rate difference is higher than or equal to the second preset corrosion rate difference, the correction coefficient is determined to be S3; Among them, the first preset corrosion rate difference is less than the second preset corrosion rate difference, and S1 < S2 < S3 < 1.

9. A dynamic water volume adjustment system for flushing a water supply network, applicable to the dynamic water volume adjustment method for flushing a water supply network as described in any one of claims 1-8, characterized in that, include: The acquisition module is configured to acquire the unflushed interval of each pipe segment, the acquisition module is also configured to acquire the distribution length of the water supply network and the bearing pressure of each pipe segment, and the acquisition module is also configured to acquire the chemical material of the water used during flushing. The evaluation module, electrically connected to the acquisition module, is configured to determine the number of flushing cycles and the corresponding water volume for each flushing cycle based on the distribution length of the water supply network and the pressure bearing capacity of each pipe segment. The evaluation module is also configured to determine the preset water volume for each pipe segment during flushing based on the interval between unflushed cycles. Furthermore, the evaluation module is configured to input chemical materials into a pre-established pipe segment cleaning model to obtain the corrosion rate of the water used during flushing. The central control module is electrically connected to the evaluation module. The central control module is configured to determine the total water consumption during water supply network flushing based on the number of flushing cycles and the water volume corresponding to each flushing cycle. Based on the preset water volume for each pipe section during flushing and the corrosion rate of the water used during flushing, the central control module determines the adjustment coefficient and adjusts the total water consumption during water supply network flushing according to the adjustment coefficient.

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