A cleaning method and system for water supply network

Abstract

The present invention relates to the technical field of pipe network cleaning, and discloses a method and system for cleaning water supply pipe networks. The method comprises detecting the end of the water supply pipe network, acquiring data, and classifying pollution; judging whether a pipe network section is polluted based on the classification results; if polluted, controlling water flow and detecting points, analyzing pollution trends, and deciding whether to locate the pollution source; if the pollution source does not need to be located, cleaning the pipe network section; if location is required, determining the location of the pollution source based on the trend and formulating a cleaning plan; after cleaning, restoring water flow and verifying the results. In terms of the water supply pipe network cleaning method and system, the present invention improves cleaning effectiveness and efficiency by introducing intelligent control and precise operation.

Description

Technical Field

[0001] The present invention relates to the technical field of pipe network cleaning, and in particular to a cleaning method and system for a water supply pipe network. Background Art

[0002] In modern urban water treatment systems, the cleanliness of water supply networks is a critical link in ensuring water supply safety and water quality. With the acceleration of urbanization, the coverage of water supply networks continues to expand, and water pollution in these networks has gradually become a prominent issue. Water pollution can arise from scaling on pipe walls, sediment accumulation, and microbial growth. These pollutants not only affect water quality but also pose a threat to residents' health. Traditional cleaning methods rely on regular manual cleaning or simple chemical cleaning techniques. However, these methods often suffer from low efficiency, high costs, incomplete cleaning, and are unable to accurately address different pollution situations.

[0003] In recent years, with the rapid development of intelligent technology, water supply network cleaning technologies based on automation and precise control have emerged. By real-time monitoring of water quality data, automated control of the cleaning process, and combining pollution source location and hierarchical management, the efficiency of pipe network cleaning can be significantly improved and the risk of water pollution can be reduced. However, existing technologies still face problems such as inaccurate pollution source location, unreasonable selection of cleaning methods, and imprecise water flow recovery control. Therefore, the development of an efficient and precise cleaning method and system that can monitor in real time and adaptively adjust the cleaning plan according to the pollution situation is an urgent problem to be solved in the current technical field. Summary of the Invention

[0004] In view of this, the present invention proposes a cleaning method and system for water supply network, aiming to solve the problems existing in the prior art of water supply network cleaning, such as inaccurate pollution source positioning, unreasonable selection of cleaning methods, and inaccurate water flow recovery control.

[0005] The present invention provides a method for cleaning a water supply network, comprising:

[0006] Perform inspections on the end of the water supply network to obtain inspection data, classify the network segments according to the inspection data, and determine whether the network segments are polluted based on the pollution classification results. If the network segments are polluted, control the water flow in the polluted network segments based on the pollution classification results. Simultaneously, perform inspections on several points in the polluted network segments to obtain and analyze pollution data from the several points, determine the pollution data change trend, and determine whether it is necessary to locate the pollution source in the polluted network segments based on the pollution data change trend.

[0007] When the result of the judgment is that it is not necessary to locate the pollution source in the polluted pipe network zone, cleaning is performed based on the pollution data of several points in the polluted pipe network zone; when the result of the judgment is that it is necessary to locate the pollution source in the polluted pipe network zone, the pollution source position is located and obtained according to the change trend of the pollution data, and a cleaning plan is formulated according to the pollution source position;

[0008] After the cleaning is completed, the water flow in the polluted pipe network partition is restored, and the water supply network terminals associated with the polluted pipe network partition are inspected again to verify the cleaning effect.

[0009] Preferably, when performing pollution classification on the pipe network section according to the detection data, the method includes:

[0010] Testing water quality parameters using water quality monitoring equipment installed at the end of the pipe network, wherein the water quality parameters include turbidity, total microbial count and dissolved organic carbon;

[0011] When the turbidity is ≤1.0NTU, the total number of microorganisms is ≤100CFU / mL, and the dissolved organic carbon is ≤2mg / L, the pollution classification of the polluted pipe network zone is determined to be normal;

[0012] The pollution classification of the polluted pipe network zone is determined to be severely polluted when any of the following conditions are met: turbidity>3.5NTU, total microbial count>1000CFU / mL, dissolved organic carbon>5.0mg / L;

[0013] Otherwise, the pollution classification of the polluted pipe network partition is determined to be lightly polluted.

[0014] Preferably, when the pipe network section is polluted, controlling the water flow of the polluted pipe network section according to the pollution classification result includes:

[0015] When it is determined that the pollution classification of the polluted pipe network partition is light pollution, the method of controlling the polluted pipe network partition is to reduce the water supply flow rate of the polluted pipe network partition;

[0016] When it is determined that the pollution classification of the polluted pipe network partition is severe pollution, the method for controlling the polluted pipe network partition is to close the polluted pipe network partition.

[0017] Preferably, when detecting and analyzing pollution data at several points in the polluted pipe network partition, the following steps are included:

[0018] Statistical processing is performed on the pollution data of the plurality of points to obtain the change rate and standard deviation of the pollution data of the plurality of points, wherein the change rate is the rate of change of the pollution concentration per unit time; based on the relationship between the change rate and the standard deviation, it is determined whether there is a sudden pollution event; when the following judgment formula is satisfied, it is considered necessary to locate the pollution source:

[0019] ;

[0020] Wherein, ΔC represents the rate of change; σ represents the standard deviation; k represents the empirical coefficient, and the value range of k is 1.5-3.0.

[0021] Preferably, when it is determined that the pollution source needs to be located based on the pollution data change trend, the following steps are included:

[0022] Based on the mutation points in the pollution data trend, the pollution data curve is fitted using the cubic spline interpolation method to determine the occurrence time of the pollution source; the location of the pollution source is calculated using the following formula:

[0023] ;

[0024] Among them, v(t) represents the water flow rate, T0 represents the initial time point, Tsource represents the time point when the pollution source occurs, and Lsource represents the distance to the pollution source.

[0025] Preferably, after the pollution source is located, a cleaning plan is formulated based on the location of the pollution source, including:

[0026] Select clean technology based on pollution source location and pollution classification results;

[0027] When the pollution level is light, choose air-water mixed flushing;

[0028] When the pollution level is severe, high-pressure water washing and mechanical brushing are selected.

[0029] Preferably, after cleaning, the cleaning effect is tested using the following calculation formula:

[0030] ;

[0031] Among them, Cbefore represents the pollution concentration before the pollution source is cleaned; Cafter represents the pollution concentration after cleaning; Eclean represents the cleaning efficiency;

[0032] When the cleaning efficiency should be less than or equal to 80%, increase the number of cleaning times until the cleaning efficiency should be greater than 80%.

[0033] Preferably, after cleaning is completed, the step of restoring the water flow comprises:

[0034] According to the water quality recovery of the contaminated pipe network partition after cleaning, the water flow rate is adjusted to restore the water flow of the contaminated pipe network partition after cleaning to a normal value; the flow rate is adjusted by the following formula:

[0035] ;

[0036] Among them, Vflow represents the water flow rate; Vinitial represents the water flow rate before cleaning; Vtarget represents the target water flow rate after recovery; α is the adjustment factor, and the value range is 0.1-0.5.

[0037] The present invention also proposes a cleaning system for a water supply network, which is used to implement the above-mentioned cleaning method for a water supply network, comprising:

[0038] The pollution detection module is used to monitor the water quality parameters at the end of the water supply network and classify the pollution of the network section according to the water quality parameter data;

[0039] The pollution source location module is used to locate the location of the pollution source according to the change trend of pollution data and determine the distribution range of the pollution source;

[0040] The cleaning control module selects and controls the cleaning method based on the pollution classification results and pollution source location results, including adjusting the water supply flow rate, closing the polluted pipe network section, using high-pressure water flushing, mechanical scrubbing or chemical cleaning;

[0041] Monitoring and feedback module, used to monitor water quality data in real time during the cleaning process and adjust the cleaning plan based on the monitoring results;

[0042] The water flow recovery module is used to restore the normal water supply of the pipe network partition after cleaning is completed, and to re-test the water quality at the end of the water supply network to verify the cleaning effect.

[0043] Preferably, the cleaning control module includes:

[0044] The flow rate regulating unit is used to adjust the water flow rate of the polluted pipe network partition according to the pollution classification results and cleaning strategy. When the pollution classification is light pollution, the flow rate is reduced; when the pollution classification is heavy pollution, the polluted pipe network partition is closed;

[0045] A cleaning intensity adjustment unit is used to adjust the intensity of the cleaning technology according to the type and distribution of pollution sources, including adjusting the water pressure of high-pressure water washing, the intensity of mechanical scrubbing, or the concentration of chemical cleaning agents to ensure the expected cleaning effect;

[0046] The monitoring system is used to monitor the water quality data at each point in the cleaning process in real time, and automatically adjust the cleaning parameters or take additional cleaning measures when the cleaning effect does not meet the standards.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] Improve cleaning efficiency: By automatically selecting and adjusting cleaning technology based on the location of the pollution source and the pollution classification results, the cleaning process becomes more precise and efficient, avoiding the blindness and inefficiency of traditional methods.

[0049] Reduced maintenance costs: The system can automatically adjust the cleaning intensity and method according to the pollution situation, reducing over-cleaning and unnecessary cleaning work, thereby reducing resource consumption and labor costs during the cleaning process.

[0050] Ensure water quality safety: By continuously monitoring changes in water quality, the cleaning effect can be fed back and adjusted in real time to ensure that the water quality during the cleaning process will not be secondary polluted, thus ensuring the safety of the final water supply.

[0051] Accurately locate pollution sources: By analyzing the changing trends of pollution data, the location and nature of pollution sources can be accurately located, avoiding the omission or misjudgment of pollution sources in traditional methods, and improving the targetedness and effectiveness of cleaning.

[0052] Strong adaptability: The method and system of the present invention can flexibly select cleaning methods according to different pollution levels and pollution source locations. It is applicable to various types of water supply networks and has strong adaptability and scalability.

[0053] Intelligent control: Operations such as water flow restoration and cleaning intensity adjustment during the cleaning process can be automatically completed by the intelligent system, reducing manual intervention and improving the accuracy and safety of operations.

[0054] In general, the present invention introduces intelligent control and precise operation in the cleaning method and system of the water supply network, which not only improves the cleaning effect and efficiency, but also greatly reduces resource waste and operation and maintenance costs, and has broad application prospects and market value. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0056] Figure 1 Flowchart of the cleaning method for a water supply network according to the present invention;

[0057] Figure 2 This is a functional block diagram of the cleaning system for the water supply network of the present invention. DETAILED DESCRIPTION

[0058] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0059] See Figure 1 This embodiment provides a method for cleaning a water supply network, comprising:

[0060] Perform inspections on the end of the water supply network to obtain inspection data, classify the network segments according to the inspection data, and determine whether the network segments are polluted based on the pollution classification results. If the network segments are polluted, control the water flow in the polluted network segments based on the pollution classification results. Simultaneously, perform inspections on several points in the polluted network segments to obtain and analyze pollution data from the several points, determine the pollution data change trend, and determine whether it is necessary to locate the pollution source in the polluted network segments based on the pollution data change trend.

[0061] When the result of the judgment is that it is not necessary to locate the pollution source in the polluted pipe network zone, cleaning is performed based on the pollution data of several points in the polluted pipe network zone; when the result of the judgment is that it is necessary to locate the pollution source in the polluted pipe network zone, the pollution source position is located and obtained according to the change trend of the pollution data, and a cleaning plan is formulated according to the pollution source position;

[0062] After the cleaning is completed, the water flow in the polluted pipe network partition is restored, and the water supply network terminals associated with the polluted pipe network partition are inspected again to verify the cleaning effect.

[0063] It is understood that this embodiment proposes an innovative cleaning technology specifically for urban or community water supply network systems, aiming to ensure the cleanliness and safety of water quality. The technology includes the following steps:

[0064] First, the terminal sections of the water distribution network are meticulously inspected to collect relevant data. This data is used to assess the contamination status of each network segment and, accordingly, to categorize each segment into pollution levels. By analyzing the pollution level, it is possible to determine whether a network segment is contaminated. If the inspection results indicate contamination, the next step is to control water flow within the contaminated network section based on the pollution level to prevent the contamination from spreading.

[0065] After controlling the water flow within the contaminated pipe network section, further testing is conducted at multiple key points within the contaminated pipe network section. By collecting pollution data from these points and conducting in-depth analysis, changing trends in the data can be revealed. Based on these trends, it can be determined whether it is necessary to accurately locate the pollution source. If the analysis indicates that locating the pollution source is not necessary, cleaning operations will be carried out based on the pollution data at these points.

[0066] Conversely, if the analysis indicates a pollution source needs to be located, the pollution data trends will be used to pinpoint its exact location and develop a targeted cleaning plan. This plan will ensure the pollution source is effectively removed, restoring the network to a clean state.

[0067] After the cleaning is complete, water flow to the affected section of the network will be restored, and the associated water distribution network endpoints will be retested to verify the effectiveness of the cleaning. This step is crucial because it ensures that the cleaning measures have successfully resolved the contamination issue and that water quality has reached safe standards.

[0068] In some embodiments of the present application, when performing pollution classification on the pipe network segment according to the detection data, the process includes:

[0069] Testing water quality parameters using water quality monitoring equipment installed at the end of the pipe network, wherein the water quality parameters include turbidity, total microbial count and dissolved organic carbon;

[0070] When the turbidity is ≤1.0NTU, the total number of microorganisms is ≤100CFU / mL, and the dissolved organic carbon is ≤2mg / L, the pollution classification of the polluted pipe network zone is determined to be normal;

[0071] The pollution classification of the polluted pipe network zone is determined to be severely polluted when any of the following conditions are met: turbidity>3.5NTU, total microbial count>1000CFU / mL, dissolved organic carbon>5.0mg / L;

[0072] Otherwise, the pollution classification of the polluted pipe network partition is determined to be lightly polluted.

[0073] It can be seen that this embodiment adopts a method for classifying the pollution of pipe network segments based on detection data, and the specific steps include:

[0074] First, water quality monitoring equipment installed at the end of the pipe network is used to conduct real-time testing of a series of key water quality parameters. These water quality parameters mainly include turbidity, total microbial count, and dissolved organic carbon.

[0075] Next, based on the test results, if the following three conditions are met simultaneously: turbidity does not exceed 1.0 NTU, total microbial count does not exceed 100 CFU / mL, and dissolved organic carbon does not exceed 2 mg / L, then we can determine that the pollution classification of the polluted pipe network section is normal;

[0076] However, if any of the conditions in the test data are not met, that is, the turbidity exceeds 3.5 NTU, the total microbial count exceeds 1000 CFU / mL, and the dissolved organic carbon exceeds 5.0 mg / L, then we will determine that the pollution classification of the polluted pipe network section is severely polluted;

[0077] If neither of the above two situations is met, that is, the detection data meets neither the conditions of normal state nor the conditions of heavy pollution, then we will determine that the pollution level of the polluted pipe network partition is light pollution.

[0078] It can be understood that this embodiment can more accurately assess the pollution status of the water supply network by introducing these specific water quality parameter standards, such as turbidity, total microbial count and dissolved organic carbon. Turbidity is an indicator of the clarity of water quality. High turbidity may mean that the water contains more suspended matter or particulate matter. The total number of microorganisms reflects the degree of microbial contamination in the water. Excessive microbial counts may pose a threat to human health. Dissolved organic carbon represents the content of dissolved organic matter in the water. These organic matter may come from various pollution sources, such as industrial wastewater, domestic sewage, etc. By setting the thresholds of these parameters, the pollution level of the network section can be clearly defined, thereby providing a strong basis for subsequent cleaning work.

[0079] In some embodiments of the present application, when the pipe network segment is polluted, controlling the water flow of the polluted pipe network segment according to the pollution classification result includes:

[0080] When it is determined that the pollution classification of the polluted pipe network partition is light pollution, the method of controlling the polluted pipe network partition is to reduce the water supply flow rate of the polluted pipe network partition;

[0081] When it is determined that the pollution classification of the polluted pipe network partition is severe pollution, the method for controlling the polluted pipe network partition is to close the polluted pipe network partition.

[0082] It is understandable that this embodiment further considers how to control the water flow of the polluted pipe network partition according to the pollution classification results. When it is judged to be lightly polluted, in order to slow down the diffusion rate of pollutants and reduce the impact on the overall water quality, the system will choose to reduce the water supply flow rate of the polluted pipe network partition. This measure aims to slow down the migration rate of pollutants in the pipe network by reducing the dynamics of the water flow, thereby buying time for subsequent cleaning work. When it is judged to be severely polluted, in order to avoid further spread of pollutants and ensure water quality safety, the system will decisively take measures to close the polluted pipe network partition. This strict management and control method can quickly cut off the source of pollution and prevent pollutants from continuing to enter the water supply system, thereby protecting the water safety of the majority of users. Through this refined management and control based on pollution classification, this embodiment not only improves the efficiency of water supply network cleaning work, but also effectively ensures the safety and stability of water quality.

[0083] In some embodiments of the present application, when detecting and analyzing pollution data at several points in the polluted pipe network partition, the following steps are included:

[0084] Statistical processing is performed on the pollution data of the plurality of points to obtain the change rate and standard deviation of the pollution data of the plurality of points, wherein the change rate is the rate of change of the pollution concentration per unit time; based on the relationship between the change rate and the standard deviation, it is determined whether there is a sudden pollution event; when the following judgment formula is satisfied, it is considered necessary to locate the pollution source:

[0085] ;

[0086] Wherein, ΔC represents the rate of change; σ represents the standard deviation; k represents the empirical coefficient, and the value range of k is 1.5-3.0.

[0087] It will be appreciated that in this embodiment, when testing and analyzing pollution data at multiple detection points within the contaminated pipe network, the pollution data from these multiple points is statistically processed to obtain the rate of change and standard deviation of the pollution data at these points. The rate of change refers to the rate of change of pollution concentration per unit time, while the standard deviation reflects the degree of dispersion of the data. By analyzing these statistical indicators, it is possible to further determine whether a sudden pollution incident has occurred.

[0088] Specifically, when the rate of change and standard deviation of the pollution data obtained from the analysis meet this judgment formula, it is considered necessary to locate the pollution source. In the above formula, ΔC represents the rate of change, σ represents the standard deviation, and k is an empirical coefficient, whose value range is generally set between 1.5 and 3.0. This empirical coefficient k is introduced to consider the actual changes in pollution under different pollution conditions when determining whether there is a sudden pollution incident, thereby improving the accuracy of the judgment.

[0089] In some embodiments of the present application, when it is determined that the pollution source needs to be located based on the pollution data change trend, the following steps are included:

[0090] Based on the mutation points in the pollution data trend, the pollution data curve is fitted using the cubic spline interpolation method to determine the occurrence time of the pollution source; the location of the pollution source is calculated using the following formula:

[0091] ;

[0092] Among them, v(t) represents the water flow rate, T0 represents the initial time point, Tsource represents the time point when the pollution source occurs, and Lsource represents the distance to the pollution source.

[0093] It is understandable that this embodiment also proposes a specific method for locating pollution sources based on the trend of changes in pollution data. When the system detects that the trend of changes in pollution data shows anomalies, that is, when a pollution source may exist, further action will be taken to determine the location of the pollution source. First, the system will use the cubic spline interpolation method to fit the pollution data curve based on the mutation points in the trend of changes in pollution data. This method can more accurately depict the changes in pollution data over time, thereby helping the system find the time point when the pollution source occurs. Next, the system will use a specific formula to calculate the location of the pollution source. This formula takes into account factors such as water flow rate, initial time point, and time point of occurrence of the pollution source. The distance between the pollution source and the monitoring point can be calculated. This positioning method not only improves the accuracy of positioning, but also provides important reference information for subsequent cleaning work, so that the cleaning work can be carried out more targeted, thereby improving cleaning efficiency.

[0094] In some embodiments of the present application, after the pollution source is located, a cleaning plan is formulated according to the location of the pollution source, including:

[0095] Select clean technology based on pollution source location and pollution classification results;

[0096] When the pollution level is light, choose air-water mixed flushing;

[0097] When the pollution level is severe, high-pressure water washing and mechanical brushing are selected.

[0098] It is understandable that this embodiment also proposes a specific method for formulating a cleaning plan based on the location of the pollution source and the degree of pollution. Once the pollution source is accurately located, the system will select the appropriate cleaning technology based on the location of the pollution source and the results of the pollution classification. This flexible selection method ensures the pertinence and effectiveness of the cleaning work. In the case of mild pollution, the system will choose an air-water mixed flushing method, which can effectively remove pollutants while avoiding excessive pressure on the pipeline. In the case of severe pollution, the system will choose a more powerful cleaning method, such as high-pressure water flushing and mechanical brushing, to ensure that stubborn pollutants in the pipeline are thoroughly removed. This strategy of selecting cleaning technology based on the degree of pollution not only improves the cleaning effect, but also optimizes the use of resources, making cleaning work more efficient and environmentally friendly.

[0099] It should be noted that mechanical scrubbing preferably uses water pressure to push a pig ball into the pipe, using physical friction to push sediment out. The pig ball is a special cleaning tool made of foamed polyurethane. The use of the pig ball further enhances the effectiveness of the cleaning solution. It can penetrate deep into the pipe and effectively remove stubborn sediment through physical friction, ensuring the pipe is unobstructed. Furthermore, this cleaning method is environmentally friendly because it does not require the use of chemical detergents, thus avoiding potential adverse effects on water quality and the environment. When formulating the cleaning plan, the system also considers other factors, such as pipe material, pipe diameter, and cleaning schedule, to ensure the scientific and feasible cleaning plan. This comprehensive cleaning strategy not only improves cleaning efficiency but also provides strong guarantees for the long-term stable operation of the water supply network. The pig ball is a flexible and elastic cleaning tool that can adapt to pipes of various shapes and materials, ensuring a comprehensive and thorough cleaning process. During the cleaning process, the pig ball is propelled through the pipe by water pressure. Its special surface material adheres tightly to the pipe wall, effectively removing sediment, dirt, and other impurities through physical friction. At the same time, the use of Pig balls can also reduce damage to pipes and extend their service life. In addition, when formulating a cleaning plan, the system will also scientifically and rationally select and use Pig balls based on their characteristics and applicable scope, combined with actual conditions, to ensure the best cleaning effect.

[0100] It should also be noted that the pig ball cleaning method can meet the cleaning needs of pipes with a diameter of φ40-350mm and a length of 3000m, and has good adaptability and flexibility. At the same time, this cleaning method can also effectively clean pipes made of different materials, such as cast iron pipes, steel pipes, plastic pipes, etc., further broadening its scope of application. The advantage of this method is that only a few main pipes in the pipe network need to be cleaned to achieve comprehensive cleaning of the entire pipe network system, greatly reducing the cleaning workload and cost. In addition, this method is also characterized by simple operation and fast cleaning speed, and can complete the cleaning task of the water supply network in a short time, thereby ensuring the continuity and stability of the water supply.

[0101] The Pig ball cleaning method can be performed on any section of a pipe in the official website, without the need to dismantle the entire pipe network or conduct large-scale excavation, greatly reducing the difficulty of construction and the impact on residents' lives. This method only needs to be operated between any two water valves. After closing the water valves, the Pig ball is sent into the pipe using water pressure. After cleaning is completed, the Pig ball is removed through the water valve at the other end. The entire process is simple and fast, minimizing the impact on the surrounding environment and residents' lives. At the same time, because the Pig ball cleaning method uses the principle of physical friction, it will not cause corrosion or damage to the pipe material, ensuring the long-term stable operation of the pipe. This cleaning method not only improves cleaning efficiency and reduces cleaning costs, but also provides a more scientific and environmentally friendly solution for the maintenance and management of water supply pipe networks. Therefore, the Pig ball cleaning method has broad application prospects and promotion value in the cleaning and maintenance of water supply pipe networks.

[0102] In some embodiments of the present application, after cleaning, the cleaning effect is detected using the following calculation formula:

[0103] ;

[0104] Among them, Cbefore represents the pollution concentration before the pollution source is cleaned; Cafter represents the pollution concentration after cleaning; Eclean represents the cleaning efficiency;

[0105] When the cleaning efficiency should be less than or equal to 80%, increase the number of cleaning times until the cleaning efficiency should be greater than 80%.

[0106] In some embodiments of the present application, after cleaning is completed, the step of restoring water flow includes:

[0107] According to the water quality recovery of the contaminated pipe network partition after cleaning, the water flow rate is adjusted to restore the water flow of the contaminated pipe network partition after cleaning to a normal value; the flow rate is adjusted by the following formula:

[0108] ;

[0109] Among them, Vflow represents the water flow rate; Vinitial represents the water flow rate before cleaning; Vtarget represents the target water flow rate after recovery; α is the adjustment factor, and the value range is 0.1-0.5.

[0110] It is understandable that this embodiment also proposes a method for detecting and evaluating the cleaning effect, as well as a strategy for restoring the water flow rate. After the cleaning work is completed, in order to verify whether the cleaning effect meets expectations, the system will use a specific calculation formula to calculate the cleaning efficiency. This calculation formula is based on the pollution concentration before and after the pollution source is cleaned. By comparing the changes in pollution concentration before and after cleaning, the specific value of the cleaning efficiency can be obtained. If the cleaning efficiency is lower than 80%, it means that the cleaning work has not fully achieved the expected results. At this time, the system will require an increase in the number of cleanings until the cleaning efficiency exceeds 80% to ensure that the pollution in the pipeline is effectively removed.

[0111] Furthermore, after cleaning is complete and its effectiveness verified, the system adjusts the water flow rate based on the water quality recovery in the contaminated network sections after cleaning. This step aims to gradually restore the network's normal water flow rate while ensuring that water quality within the pipes meets standards. By using a specific flow regulation formula, the system precisely controls the water flow rate recovery process, preventing sudden changes in flow from adversely affecting the network. This meticulous regulation strategy not only helps maintain the stable operation of the network but also ensures rapid water quality recovery after cleaning, providing users with safer and more reliable water services.

[0112] See Figure 2 This embodiment further provides a cleaning system for a water supply network, which is used to implement the above-mentioned cleaning method for a water supply network, including:

[0113] The pollution detection module is used to monitor the water quality parameters at the end of the water supply network and classify the pollution of the network section according to the water quality parameter data;

[0114] The pollution source location module is used to locate the location of the pollution source according to the change trend of pollution data and determine the distribution range of the pollution source;

[0115] The cleaning control module selects and controls the cleaning method based on the pollution classification results and pollution source location results, including adjusting the water supply flow rate, closing the polluted pipe network section, using high-pressure water flushing, mechanical scrubbing or chemical cleaning;

[0116] Monitoring and feedback module, used to monitor water quality data in real time during the cleaning process and adjust the cleaning plan based on the monitoring results;

[0117] The water flow recovery module is used to restore the normal water supply of the pipe network partition after cleaning is completed, and to re-test the water quality at the end of the water supply network to verify the cleaning effect.

[0118] This embodiment further proposes an innovative cleaning system for a water supply network, which can effectively implement the above-mentioned cleaning method for a water supply network. The main components of the system include:

[0119] The pollution detection module monitors water quality parameters at the end of the water supply network in real time. By analyzing and processing this water quality parameter data, the module can classify pollution levels in the network, providing a scientific basis for subsequent cleaning work.

[0120] The pollution source location module uses advanced data analysis technology to pinpoint the specific location of pollution sources based on pollution data trends. It also determines the distribution range of pollution sources, providing key information for the cleaning control module.

[0121] The cleaning control module intelligently selects and controls the most appropriate cleaning method based on pollution classification and pollution source location results. These cleaning methods include, but are not limited to, adjusting water flow rates, closing contaminated pipe network sections, and using high-pressure water flushing, mechanical scrubbing, or chemical cleaning. The module's decision-making process is based on an optimization algorithm to ensure cleaning efficiency and effectiveness.

[0122] The monitoring and feedback module monitors water quality data in real time during the cleaning process to ensure the effectiveness of the cleaning process. Based on the monitoring results, the module can adjust the cleaning plan in a timely manner to respond to any emergencies that may arise and ensure the smooth progress of the cleaning process.

[0123] The Water Flow Restoration Module, which restores normal water supply to a specific section of the network after cleaning is complete, retests water quality at the network endpoints to verify cleaning effectiveness and ensure water quality meets safety standards, thereby safeguarding public health and safety.

[0124] In some embodiments of the present application, the cleaning control module includes:

[0125] The flow rate regulating unit is used to adjust the water flow rate of the polluted pipe network partition according to the pollution classification results and cleaning strategy. When the pollution classification is light pollution, the flow rate is reduced; when the pollution classification is heavy pollution, the polluted pipe network partition is closed;

[0126] A cleaning intensity adjustment unit is used to adjust the intensity of the cleaning technology according to the type and distribution of pollution sources, including adjusting the water pressure of high-pressure water washing, the intensity of mechanical scrubbing, or the concentration of chemical cleaning agents to ensure the expected cleaning effect;

[0127] The monitoring system is used to monitor the water quality data at each point in the cleaning process in real time, and automatically adjust the cleaning parameters or take additional cleaning measures when the cleaning effect does not meet the standards.

[0128] It is understood that the cleaning system in this embodiment integrates multiple functional modules to form an efficient and intelligent cleaning solution. The collaborative work between the modules makes the cleaning process not only targeted but also flexible according to actual conditions.

[0129] The flow rate control unit is designed to fully consider the relationship between contamination severity and water flow rate. By precisely adjusting the water flow rate, we can ensure effective cleaning while minimizing the impact on the normal operation of the pipe network. Especially in the case of mild contamination, reducing the flow rate allows for more effective contaminant removal while avoiding unnecessary impact on the pipe network.

[0130] The cleaning intensity adjustment unit flexibly adjusts the intensity of the cleaning technology based on the type and distribution of pollution sources. This personalized cleaning strategy not only improves cleaning efficiency but also ensures that the cleaning process is friendly to pipe network materials and the environment. By adjusting the water pressure of high-pressure water flushing, the intensity of mechanical scrubbing, and the concentration of chemical cleaning agents, the cleaning system can adopt the most appropriate cleaning method for different types of pollution sources.

[0131] The monitoring system plays a crucial role in the cleaning process. It monitors water quality data at each location in real time to ensure that cleaning is proceeding according to plan. If cleaning performance falls short of expectations, the monitoring system responds quickly, automatically adjusting cleaning parameters or implementing additional cleaning measures to ensure successful completion.

[0132] In summary, the cleaning system in this embodiment achieves efficient and intelligent cleaning of the water supply network by integrating multiple functional modules. This innovative cleaning method not only improves cleaning efficiency but also ensures safety and environmental friendliness during the cleaning process, providing a new solution for the maintenance and management of water supply networks.

[0133] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0134] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0135] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0137] 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, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for cleaning a water supply network, characterized in that: include: Perform inspections on the end of the water supply network to obtain inspection data, classify the network segments according to the inspection data, and determine whether the network segments are polluted based on the pollution classification results. If the network segments are polluted, control the water flow in the polluted network segments based on the pollution classification results. Simultaneously, perform inspections on several points in the polluted network segments to obtain and analyze pollution data from the several points, determine the pollution data change trend, and determine whether it is necessary to locate the pollution source in the polluted network segments based on the pollution data change trend. When the result of the judgment is that it is not necessary to locate the pollution source in the polluted pipe network zone, cleaning is performed based on the pollution data of several points in the polluted pipe network zone; when the result of the judgment is that it is necessary to locate the pollution source in the polluted pipe network zone, the pollution source position is located and obtained according to the change trend of the pollution data, and a cleaning plan is formulated according to the pollution source position; After the cleaning is completed, the water flow in the contaminated pipe network partition is restored, and the water supply network terminals associated with the contaminated pipe network partition are tested again to verify the cleaning effect; When classifying the pollution of the pipe network section based on the detection data, it includes: Testing water quality parameters using water quality monitoring equipment installed at the end of the pipe network, wherein the water quality parameters include turbidity, total microbial count and dissolved organic carbon; When the turbidity is ≤1.0NTU, the total number of microorganisms is ≤100CFU / mL, and the dissolved organic carbon is ≤2mg / L, the pollution classification of the polluted pipe network zone is determined to be normal; The pollution classification of the polluted pipe network zone is determined to be severely polluted when any of the following conditions are met: turbidity>3.5NTU, total microbial count>1000CFU / mL, dissolved organic carbon>5.0mg / L; Otherwise, the pollution classification of the polluted pipe network zone is determined to be lightly polluted; When the pipe network section is polluted, the water flow in the polluted pipe network section is controlled according to the pollution classification result, including: When it is determined that the pollution classification of the polluted pipe network partition is light pollution, the method of controlling the polluted pipe network partition is to reduce the water supply flow rate of the polluted pipe network partition; When it is determined that the pollution classification of the polluted pipe network zone is severe pollution, the method of controlling the polluted pipe network zone is to close the polluted pipe network zone; When detecting and analyzing pollution data at several points in the polluted pipe network, it includes: Statistical processing is performed on the pollution data of the plurality of points to obtain the change rate and standard deviation of the pollution data of the plurality of points, wherein the change rate is the rate of change of the pollution concentration per unit time; based on the relationship between the change rate and the standard deviation, it is determined whether there is a sudden pollution event; when the following judgment formula is satisfied, it is considered necessary to locate the pollution source: ； Wherein, ΔC represents the rate of change; σ represents the standard deviation; k represents the empirical coefficient, and the value range of k is 1.5-3.

0.

2. The method for cleaning a water supply network according to claim 1, characterized in that: When it is necessary to locate the pollution source based on the trend of pollution data, it includes: Based on the mutation points in the pollution data trend, the pollution data curve is fitted using the cubic spline interpolation method to determine the occurrence time of the pollution source; the location of the pollution source is calculated using the following formula: ； Among them, v(t) represents the water flow rate, T0 represents the initial time point, Tsource represents the time point when the pollution source occurs, and Lsource represents the distance to the pollution source.

3. The method for cleaning a water supply network according to claim 1, characterized in that: After locating the pollution source, a cleaning plan is developed based on the pollution source location, including: Select clean technology based on pollution source location and pollution classification results; When the pollution level is light, choose air-water mixed flushing; When the pollution level is severe, high-pressure water washing and mechanical brushing are selected.

4. The method for cleaning a water supply network according to claim 3, characterized in that: After cleaning, use the following calculation formula to test the cleaning effect: ； Among them, Cbefore represents the pollution concentration before the pollution source is cleaned; Cafter represents the pollution concentration after cleaning; Eclean represents the cleaning efficiency; When the cleaning efficiency should be less than or equal to 80%, increase the number of cleaning times until the cleaning efficiency should be greater than 80%.

5. The method for cleaning a water supply network according to claim 1, characterized in that: After cleaning is completed, the steps of restoring water flow include: According to the water quality recovery of the contaminated pipe network partition after cleaning, the water flow rate is adjusted to restore the water flow of the contaminated pipe network partition after cleaning to a normal value; the flow rate is adjusted by the following formula: ； Among them, Vflow represents the water flow rate; Vinitial represents the water flow rate before cleaning; Vtarget represents the target water flow rate after recovery; α is the adjustment factor, and the value range is 0.1-0.

5.

6. A cleaning system for a water supply network, used to implement the cleaning method for a water supply network according to any one of claims 1 to 5, characterized in that: include: The pollution detection module is used to monitor the water quality parameters at the end of the water supply network and classify the pollution of the network section according to the water quality parameter data; The pollution source location module is used to locate the location of the pollution source according to the change trend of pollution data and determine the distribution range of the pollution source; The cleaning control module selects and controls the cleaning method based on the pollution classification results and pollution source location results, including adjusting the water supply flow rate, closing the polluted pipe network section, using high-pressure water flushing, mechanical scrubbing or chemical cleaning; Monitoring and feedback module, used to monitor water quality data in real time during the cleaning process and adjust the cleaning plan based on the monitoring results; The water flow recovery module is used to restore the normal water supply of the pipe network partition after cleaning is completed, and to re-test the water quality at the end of the water supply network to verify the cleaning effect.

7. The cleaning system for a water supply network according to claim 6, characterized in that: The cleaning control module includes: The flow rate regulating unit is used to adjust the water flow rate of the polluted pipe network partition according to the pollution classification results and cleaning strategy. When the pollution classification is light pollution, the flow rate is reduced; when the pollution classification is heavy pollution, the polluted pipe network partition is closed; A cleaning intensity adjustment unit is used to adjust the intensity of the cleaning technology according to the type and distribution of pollution sources, including adjusting the water pressure of high-pressure water washing, the intensity of mechanical scrubbing, or the concentration of chemical cleaning agents to ensure the expected cleaning effect; The monitoring system is used to monitor the water quality data at each point in the cleaning process in real time, and automatically adjust the cleaning parameters or take additional cleaning measures when the cleaning effect does not meet the standards.

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