Cleaning method and system for water supply network

Abstract

The invention relates to the technical field of pipe network cleaning, and discloses a cleaning method and system for a water supply pipe network, and the method comprises the steps: detecting the end of the water supply pipe network, obtaining data, and carrying out the grading pollution; judging whether the pipe network section is polluted or not according to the grading result; if pollution occurs, managing and controlling water flow, detecting point locations, analyzing pollution trend, and deciding whether to position pollution sources or not; if the pollution source does not need to be positioned, pipe network partitions are cleaned; if positioning is needed, determining the pollution source position according to the trend and formulating a cleaning scheme; after cleaning, the water flow is recovered and the effect is verified. According to the cleaning method and system for the water supply pipe network, intelligent control and precise operation are introduced, and the cleaning effect and efficiency are improved.

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 cleaning of water supply networks is a key link in ensuring water supply safety and water quality hygiene. With the acceleration of urbanization, the coverage of water supply networks continues to expand, and the problem of water pollution in the networks has gradually become prominent. Water pollution may come from scaling of water pipe walls, sediment accumulation, microbial reproduction, etc. These pollutions not only affect water quality, but may also pose a threat to residents' health. Traditional cleaning methods mostly rely on regular manual cleaning or simple chemical cleaning techniques. However, these methods often have problems such as low efficiency, high cost, and incomplete cleaning, and cannot accurately handle different pollution situations.

[0003] In recent years, with the rapid development of intelligent technology, water supply network cleaning technology based on automation and precise control has emerged. By real-time monitoring of water quality data, automatic control of the cleaning process, and combining pollution source positioning and hierarchical management, the efficiency of pipe network cleaning can be significantly improved and the risk of water pollution can be reduced. However, the existing technology still faces problems such as inaccurate pollution source positioning, unreasonable selection of cleaning methods, and inaccurate water flow recovery control. Therefore, the development of an efficient and accurate 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 a 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 cleaning method for a water supply network, comprising: Detect the end of the water supply network to obtain detection data, classify the network segment according to the detection data, and determine whether the network segment is polluted according to the pollution classification result; when the network segment is polluted, control the water flow of the polluted network partition according to the pollution classification result, and detect several points in the polluted network partition at the same time, obtain and analyze the pollution data of several points, obtain the pollution data change trend, and determine whether it is necessary to locate the pollution source in the polluted network partition according to the pollution data change trend; When the judgment result is that it is not necessary to locate the pollution source in the polluted pipe network partition, cleaning is performed according to the pollution data of several points in the polluted pipe network partition; when the judgment result is that it is necessary to locate the pollution source in the polluted pipe network partition, locate and obtain the pollution source position according to the pollution data change trend, and formulate a cleaning plan according to the pollution source position; After the cleaning is completed, the water flow of the polluted pipe network partition is restored, and the water supply network terminals associated with the polluted pipe network partition are tested again to verify the cleaning effect.

[0006] Preferably, when the pollution classification of the pipe network segment is performed according to 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 partition is determined to be normal; When any of the following conditions is met, the pollution classification of the polluted pipe network partition is determined to be severe pollution: turbidity>3.5NTU, total microbial count>1000CFU / mL, dissolved organic carbon>5.0mg / L; Otherwise, the pollution classification of the polluted pipe network partition is determined to be lightly polluted.

[0007] Preferably, when the pipe network section is polluted, the water flow of 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 way to control 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 partition is severe pollution, the method of controlling the polluted pipe network partition is to close the polluted pipe network partition.

[0008] Preferably, when detecting and analyzing pollution data at several points of the polluted pipe network partition, it includes: The pollution data of the several points are statistically processed to obtain the change rate and standard deviation of the pollution data of the several points, respectively. The change rate is the rate of change of the pollution concentration in unit time; according to the relationship between the change rate and the standard deviation, it is judged whether there is a sudden pollution event; when the following judgment formula is met, it is considered that the pollution source needs to be located: ; Among them, 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.

[0009] Preferably, when it is determined that the pollution source needs to be located according to the pollution data change trend, the method includes: According to the mutation points in the pollution data change trend, the pollution data curve is fitted by cubic spline interpolation method to find out the occurrence time of the pollution source; the location of the pollution source is calculated by 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 of the pollution source.

[0010] Preferably, after the pollution source is located, a cleaning plan is formulated according to the location of the pollution source, 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.

[0011] Preferably, after cleaning, the cleaning effect is tested using the following calculation formula: ; 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%.

[0012] Preferably, after the cleaning is completed, the step of restoring the water flow comprises: According to the water quality recovery of the polluted pipe network partition after cleaning, the water flow rate is adjusted to restore the water flow of the polluted 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.

[0013] 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: 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 according to the pollution classification results and pollution source location results, including adjusting the water supply flow rate, closing the polluted pipe network partition, using high-pressure water flushing, mechanical brushing 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 according to 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.

[0014] Preferably, the cleaning control module comprises: 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; The cleaning intensity adjustment unit is used to adjust the intensity of the cleaning technology according to the type and distribution of the pollution source, including adjusting the water pressure of high-pressure water washing, the intensity of mechanical scrubbing or the concentration of chemical cleaning agents to ensure that the cleaning effect reaches the expected level; 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.

[0015] Compared with the prior art, the present invention has the following beneficial effects: Improve cleaning efficiency: By automatically selecting and adjusting the cleaning technology according to the location of the pollution source and the pollution classification results, the cleaning process is made more accurate and efficient, avoiding the blindness and inefficiency of traditional methods.

[0016] Reduce 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.

[0017] 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 polluted again, thus ensuring the safety of the final water supply.

[0018] 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 possibility of missing or misjudging pollution sources in traditional methods, and improving the pertinence and effectiveness of cleaning.

[0019] Strong adaptability: The method and system of the present invention can flexibly select cleaning methods according to different pollution levels and pollution source locations, and is applicable to various types of water supply networks, with strong adaptability and scalability.

[0020] Intelligent control: Operations such as water flow restoration and cleaning intensity adjustment during the cleaning process can be automatically completed through the intelligent system, reducing human intervention and improving the accuracy and safety of operations.

[0021] In general, the present invention not only improves the cleaning effect and efficiency but also greatly reduces resource waste and operation and maintenance costs in the cleaning method and system of the water supply network by introducing intelligent control and precise operation, and has broad application prospects and market value. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 It is a flow chart of the cleaning method for water supply network of the present invention; Figure 2 It is a functional block diagram of the cleaning system for water supply network of the present invention. DETAILED DESCRIPTION

[0023] 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 described herein. On the contrary, these embodiments are provided in order 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, in the absence of conflict, the embodiments of the present invention and the features described 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 combination with the embodiments.

[0024] See also Figure 1 , this embodiment provides a cleaning method for a water supply network, comprising: Detect the end of the water supply network to obtain detection data, classify the network segment according to the detection data, and determine whether the network segment is polluted according to the pollution classification result; when the network segment is polluted, control the water flow of the polluted network partition according to the pollution classification result, and detect several points in the polluted network partition at the same time, obtain and analyze the pollution data of several points, obtain the pollution data change trend, and determine whether it is necessary to locate the pollution source in the polluted network partition according to the pollution data change trend; When the judgment result is that it is not necessary to locate the pollution source in the polluted pipe network partition, cleaning is performed according to the pollution data of several points in the polluted pipe network partition; when the judgment result is that it is necessary to locate the pollution source in the polluted pipe network partition, locate and obtain the pollution source position according to the pollution data change trend, and formulate a cleaning plan according to the pollution source position; After the cleaning is completed, the water flow of the polluted pipe network partition is restored, and the water supply network terminals associated with the polluted pipe network partition are tested again to verify the cleaning effect.

[0025] It is understandable that this embodiment proposes an innovative cleaning technology specifically for the water supply network system of a city or community, aiming to ensure the cleanliness and safety of water quality. The technology includes the following steps: First, the end of the water supply network is carefully inspected to collect relevant test data. This data will be used to evaluate the pollution status of the network segment and classify the pollution level of the network segment accordingly. By analyzing the pollution level, it can be determined whether the network segment is polluted. If the test results show that the network segment does have a pollution problem, the next step is to control the water flow in the polluted network segment according to the pollution level to prevent the pollution from spreading.

[0026] After controlling the water flow in the polluted pipe network partition, the next step is to further test multiple key points in the polluted pipe network partition. By collecting the pollution data of these points and conducting in-depth analysis of the data, the changing trends of the pollution data can be revealed. Based on these changing trends, it can be determined whether it is necessary to accurately locate the pollution source. If the analysis results show that it is not necessary to locate the pollution source, the cleaning work will be performed based on the pollution data of these points.

[0027] On the contrary, if the analysis results indicate that the pollution source needs to be located, the specific location of the pollution source will be determined based on the trend of the pollution data, and a targeted cleaning plan will be developed accordingly. This plan will ensure that the pollution source can be effectively removed, thereby restoring the cleanliness of the pipeline network.

[0028] After the above cleaning work is completed, the water flow in the contaminated pipe network section will be restored, and the relevant water supply network terminals will be retested to verify the effectiveness of the cleaning work. This step is crucial because it ensures that the cleaning measures have successfully solved the pollution problem and that the water quality has reached safety standards.

[0029] In some embodiments of the present application, when the pollution classification of the pipe network segment is performed according to 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 partition is determined to be normal; When any of the following conditions is met, the pollution classification of the polluted pipe network partition is determined to be severe pollution: turbidity>3.5NTU, total microbial count>1000CFU / mL, dissolved organic carbon>5.0mg / L; Otherwise, the pollution classification of the polluted pipe network partition is determined to be lightly polluted.

[0030] It can be seen that this embodiment adopts a method for classifying the pollution of the pipe network segments based on the detection data, and the specific steps include: First, a series of key water quality parameters are tested in real time using water quality monitoring equipment installed at the end of the pipe network. These water quality parameters mainly include turbidity, total microbial count and dissolved organic carbon. Next, based on the test results, if the following three conditions are met at the same time: 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 partition is normal; However, if any of the conditions in the test data are not met, that is, the turbidity exceeds 3.5NTU, the total number of microorganisms exceeds 1000CFU / mL, and the dissolved organic carbon exceeds 5.0mg / L, then we will determine that the pollution classification of the polluted pipe network partition is severe pollution; 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 severe pollution, then we will determine the pollution level of the polluted pipe network partition as light pollution.

[0031] It can be understood that this embodiment can more accurately evaluate the pollution status of the water supply network by introducing these specific water quality parameter standards, such as turbidity, total microorganism count and dissolved organic carbon. Turbidity is an indicator of the clarity of water quality. High turbidity may mean that there are more suspended solids or particulate matter in the water. The total number of microorganisms reflects the degree of microbial contamination in the water. Too high a number of microorganisms may pose a threat to human health. Dissolved organic carbon represents the content of dissolved organic matter in the water, which 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 pipe network section can be clearly defined, thereby providing a strong basis for subsequent cleaning work.

[0032] In some embodiments of the present application, when the pipe network segment is polluted, controlling the water flow of the polluted pipe network partition according to the pollution classification result includes: When it is determined that the pollution classification of the polluted pipe network partition is light pollution, the way to control 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 partition is severe pollution, the method of controlling the polluted pipe network partition is to close the polluted pipe network partition.

[0033] 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 power of water flow, so as to buy 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 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 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.

[0034] In some embodiments of the present application, when detecting and analyzing pollution data at several points of the polluted pipe network partition, it includes: The pollution data of the several points are statistically processed to obtain the change rate and standard deviation of the pollution data of the several points, respectively. The change rate is the rate of change of the pollution concentration in unit time; according to the relationship between the change rate and the standard deviation, it is judged whether there is a sudden pollution event; when the following judgment formula is met, it is considered that the pollution source needs to be located: ; Among them, 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.

[0035] It is understandable that in this embodiment, when multiple detection points of the polluted pipe network partition are detected and pollution data are analyzed, the pollution data of the multiple points are statistically processed to obtain the change rate and standard deviation of the pollution data of these points. The change rate refers to the rate of change of the pollution concentration per unit time, and the standard deviation reflects the degree of dispersion of the data. By analyzing these statistical indicators, it can be further determined whether there is a sudden pollution incident.

[0036] Specifically, when the change rate and standard deviation of the pollution data obtained by analysis meet the judgment formula, it can be considered necessary to locate the pollution source. In the above formula, ΔC represents the change rate, σ represents the standard deviation, and k is an empirical coefficient, whose value range is usually set between 1.5 and 3.0. The introduction of this empirical coefficient k is to take into account the actual changes in different pollution situations when judging whether there is a sudden pollution incident, thereby improving the accuracy of the judgment.

[0037] In some embodiments of the present application, when it is determined that the pollution source needs to be located according to the pollution data change trend, it includes: According to the mutation points in the pollution data change trend, the pollution data curve is fitted by cubic spline interpolation method to find out the occurrence time of the pollution source; the location of the pollution source is calculated by 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 of the pollution source.

[0038] It is understandable that this embodiment also proposes a specific method for locating the pollution source based on the trend of pollution data changes. When the system detects that the trend of pollution data changes shows an abnormality, that is, it indicates that there may be a pollution source, it will take further action to determine the location of the pollution source. First, the system will use the cubic spline interpolation method to fit the pollution data curve according to the mutation point in the pollution data change trend. This method can more accurately depict the changes in pollution data over time, thereby helping the system to find the time point when the pollution source occurs. Then, 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 pollution source occurrence. 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 the cleaning efficiency.

[0039] 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: 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.

[0040] 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 a mixed air-water flushing method, which can effectively remove pollutants and avoid 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 scrubbing, to ensure that the stubborn pollutants in the pipeline are completely removed. This strategy of selecting cleaning technology according to the degree of pollution not only improves the cleaning effect, but also optimizes the use of resources, making the cleaning work more efficient and environmentally friendly.

[0041] It should be noted that mechanical scrubbing preferably uses water pressure to send a pig ball into the pipeline, and uses physical friction to push the sediment out of the pipeline. 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 pipeline and effectively remove stubborn sediments through physical friction to ensure that the pipeline is restored to normal operation. In addition, this cleaning method also has the advantage of environmental protection because it does not require the use of chemical detergents, thereby avoiding possible adverse effects on water quality and the environment. When formulating a cleaning plan, the system will also comprehensively consider other factors, such as pipeline material, pipe diameter, and the timing of cleaning operations, to ensure the scientificity and feasibility of the cleaning plan. This comprehensive cleaning strategy not only improves cleaning efficiency, but also provides a strong guarantee for the long-term stable operation of the water supply network. The pig ball is a cleaning tool with a certain degree of flexibility and elasticity, which can adapt to pipelines of different shapes and materials, ensuring the comprehensiveness and thoroughness of the cleaning work. During the cleaning operation, the pig ball moves forward in the pipeline through the push of water pressure, and the special material on its surface can fit closely with the inner wall of the pipeline, effectively removing impurities such as sediment and dirt through physical friction. At the same time, the use of Pig balls can also reduce damage to pipelines and extend the service life of pipelines. In addition, when formulating cleaning plans, the system will also make scientific and reasonable selections and uses of Pig balls based on their characteristics and applicable scope, combined with actual conditions, to ensure the optimization of cleaning effects.

[0042] It should also be noted that the cleaning method using the pig ball can meet the cleaning requirements within the pipe diameter of φ40-350mm and the pipe length of 3000m, and has good adaptability and flexibility. At the same time, this cleaning method can also effectively clean pipes 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 of 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 easy 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 water supply.

[0043] The Pig ball cleaning method can be carried out in any section of the pipeline in the official website, without the need to dismantle the entire pipeline network or excavate a large area, which greatly reduces 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 valve, the Pig ball is sent into the pipeline by water pressure. After the cleaning is completed, the Pig ball is taken out through the water valve at the other end. The whole process is simple and fast, and the impact on the surrounding environment and residents' lives is minimized. At the same time, because the Pig ball cleaning method adopts the principle of physical friction, it will not cause corrosion or damage to the pipeline material, ensuring the long-term stable operation of the pipeline. This cleaning method not only improves the cleaning efficiency and reduces the cleaning cost, but also provides a more scientific and environmentally friendly solution for the maintenance and management of the water supply network. Therefore, the Pig ball cleaning method has broad application prospects and promotion value in the cleaning and maintenance of the water supply network.

[0044] In some embodiments of the present application, after cleaning, the cleaning effect is detected using the following calculation formula: ; 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%.

[0045] In some embodiments of the present application, after cleaning is completed, the step of restoring water flow includes: According to the water quality recovery of the polluted pipe network partition after cleaning, the water flow rate is adjusted to restore the water flow of the polluted 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.

[0046] 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 less 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.

[0047] In addition, after the cleaning is completed and the cleaning effect is verified, the system will also adjust the water flow rate according to the water quality recovery of the polluted pipe network partition after cleaning. The purpose of this step is to gradually restore the normal water flow rate of the pipe network while ensuring that the water quality in the pipe meets the standard. Through the flow adjustment of a specific formula, the system can accurately control the recovery process of the water flow rate to avoid the adverse effects of sudden water flow changes on the pipe network. This meticulous adjustment strategy not only helps to protect the stable operation of the pipe network, but also ensures that the water quality is quickly restored after cleaning, providing users with safer and more reliable water services.

[0048] See also Figure 2 This embodiment 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, including: 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 according to the pollution classification results and pollution source location results, including adjusting the water supply flow rate, closing the polluted pipe network partition, using high-pressure water flushing, mechanical brushing 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 according to 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.

[0049] 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: Pollution detection module: The main function of this module is to monitor the water quality parameters at the end of the water supply network in real time. By analyzing and processing the water quality parameter data, the module can classify the pollution of the network section, thus providing a scientific basis for subsequent cleaning work.

[0050] Pollution source location module: This module uses advanced data analysis technology to locate the specific location of the pollution source according to the trend of pollution data changes. In addition, it can also determine the distribution range of the pollution source and provide key information for the cleaning control module.

[0051] Cleaning control module, which intelligently selects and controls the most appropriate cleaning method based on the pollution classification results and pollution source location results. These cleaning methods include but are not limited to adjusting the water supply flow rate, closing the polluted pipe network partition, using high-pressure water flushing, mechanical brushing or chemical cleaning, etc. The decision-making process of the module is based on an optimization algorithm to ensure cleaning efficiency and effectiveness.

[0052] Monitoring and feedback module: This module monitors water quality data in real time during the cleaning process to ensure the effectiveness of the cleaning work. Based on the monitoring results, the module can adjust the cleaning plan in time to deal with any emergencies that may occur and ensure the smooth progress of the cleaning work.

[0053] The water flow restoration module is responsible for restoring normal water supply to the pipe network partition after the cleaning work is completed. It re-tests the water quality at the end of the water supply network to verify the cleaning effect and ensure that the water quality meets the safety standards, thereby protecting public health and safety.

[0054] In some embodiments of the present application, 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; The cleaning intensity adjustment unit is used to adjust the intensity of the cleaning technology according to the type and distribution of the pollution source, including adjusting the water pressure of high-pressure water washing, the intensity of mechanical scrubbing or the concentration of chemical cleaning agents to ensure that the cleaning effect reaches the expected level; 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.

[0055] It is understandable that the cleaning system in this embodiment integrates multiple functional modules to form an efficient and intelligent cleaning solution. The cooperation between the modules makes the cleaning process not only targeted but also flexible according to the actual situation.

[0056] The design of the flow rate regulating unit fully considers the relationship between the degree of pollution and the water flow rate. By accurately adjusting the water flow rate, the cleaning effect can be guaranteed while minimizing the impact on the normal operation of the pipe network. Especially in the face of mild pollution, by reducing the flow rate, pollutants can be removed more effectively while avoiding unnecessary impact on the pipe network.

[0057] The cleaning intensity adjustment unit flexibly adjusts the intensity of the cleaning technology according to the type and distribution of pollution sources. This personalized cleaning strategy can not only improve cleaning efficiency, but also ensure that the cleaning process is friendly to the pipe network material and the environment. By adjusting the water pressure of high-pressure water washing, the strength of mechanical scrubbing or the concentration of chemical cleaning agents, the cleaning system can adopt the most appropriate cleaning method for different types of pollution sources.

[0058] The monitoring system plays a vital role in the cleaning process. It monitors the water quality data at each point in real time to ensure that the cleaning work is carried out according to the predetermined plan. Once it is found that the cleaning effect is not up to standard, the monitoring system can respond quickly, automatically adjust the cleaning parameters or take additional cleaning measures to ensure the smooth completion of the cleaning work.

[0059] 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 the cleaning efficiency, but also ensures the safety and environmental protection of the cleaning process, providing a new solution for the maintenance and management of the water supply network.

[0060] 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 a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, 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 disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0061] 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.

[0062] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0063] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant 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 within 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: Detect the end of the water supply network to obtain detection data, classify the network segment according to the detection data, and determine whether the network segment is polluted according to the pollution classification result; when the network segment is polluted, control the water flow of the polluted network partition according to the pollution classification result, and detect several points in the polluted network partition at the same time, obtain and analyze the pollution data of several points, obtain the pollution data change trend, and determine whether it is necessary to locate the pollution source in the polluted network partition according to the pollution data change trend; When the judgment result is that it is not necessary to locate the pollution source in the polluted pipe network partition, cleaning is performed according to the pollution data of several points in the polluted pipe network partition; when the judgment result is that it is necessary to locate the pollution source in the polluted pipe network partition, locate and obtain the pollution source position according to the pollution data change trend, and formulate a cleaning plan according to the pollution source position; After the cleaning is completed, the water flow of the polluted pipe network partition is restored, and the water supply network terminals associated with the polluted pipe network partition are tested again to verify the cleaning effect.

2. The cleaning method for a water supply network according to claim 1, characterized in that: When classifying the pollution of the pipe network segment according to 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 partition is determined to be normal; When any of the following conditions is met, the pollution classification of the polluted pipe network partition is determined to be severe pollution: turbidity>3.5NTU, total microbial count>1000CFU / mL, dissolved organic carbon>5.0mg / L; Otherwise, the pollution classification of the polluted pipe network partition is determined to be lightly polluted.

3. The cleaning method for a water supply network according to claim 2, characterized in that: 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 way to control 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 partition is severe pollution, the method of controlling the polluted pipe network partition is to close the polluted pipe network partition.

4. The cleaning method for a water supply network according to claim 1, characterized in that: When detecting and analyzing pollution data at several points of the polluted pipe network partition, it includes: The pollution data of the several points are statistically processed to obtain the change rate and standard deviation of the pollution data of the several points, respectively. The change rate is the rate of change of the pollution concentration in unit time; according to the relationship between the change rate and the standard deviation, it is judged whether there is a sudden pollution event; when the following judgment formula is met, it is considered that the pollution source needs to be located: ； Among them, 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.

5. 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 changes, it includes: According to the mutation points in the pollution data change trend, the pollution data curve is fitted by cubic spline interpolation method to find out the occurrence time of the pollution source; the location of the pollution source is calculated by 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 of the pollution source.

6. The method for cleaning a water supply network according to claim 1, characterized in that: After the pollution source is located, a cleaning plan is formulated 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.

7. The method for cleaning a water supply network according to claim 6, 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%.

8. The method for cleaning a water supply network according to claim 1, characterized in that: After the cleaning is completed, the step of restoring the water flow includes: According to the water quality recovery of the polluted pipe network partition after cleaning, the water flow rate is adjusted to restore the water flow of the polluted 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.

9. 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 8, 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 according to the pollution classification results and pollution source location results, including adjusting the water supply flow rate, closing the polluted pipe network partition, using high-pressure water flushing, mechanical brushing 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 according to 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.

10. The cleaning system for a water supply network according to claim 9, characterized in that: The cleaning control module comprises: 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; The cleaning intensity adjustment unit is used to adjust the intensity of the cleaning technology according to the type and distribution of the pollution source, including adjusting the water pressure of high-pressure water washing, the intensity of mechanical scrubbing or the concentration of chemical cleaning agents to ensure that the cleaning effect reaches the expected level; 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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