A pulse flushing method and system for a water supply pipe network

Abstract

The present invention relates to the technical field of flushing of water supply pipe networks, and discloses a pulse flushing method and system for water supply pipe networks. The system includes: a collection module configured to collect the water quality data of the pipeline before flushing and the water quality data of the pipeline after flushing in the pipeline network monitoring area; the water quality data of the pipeline before flushing is respectively recorded as the first pipeline water quality data, and the water quality data of the pipeline after flushing is recorded as the second pipeline water quality data; the collection module is further configured to collect the thickness of the pipeline sediment in the pipeline network monitoring area; a processing module to determine the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness; a judgment module to judge whether it is necessary to supplement and flush the pipeline network monitoring area according to the comparison result; a supplementary flushing module to flush the inside of the pipeline network monitoring area according to the supplementary flushing parameters. Through the collaborative work of each module, the present invention makes the entire pulse flushing process more efficient and controllable.

Description

Technical Field

[0001] The present invention relates to the technical field of flushing of water supply pipe networks, and more particularly, to a pulse flushing method and system for water supply pipe networks. Background Art

[0002] In urban water supply systems, water supply pipe networks play a crucial role. The stability of their operation and the cleanliness of water quality are directly related to the living quality of residents and the effective utilization of water resources. After long-term operation, various impurities and dirt are likely to accumulate inside water supply pipe networks, including sediments, microorganisms, rust products, etc. These dirt not only reduce water quality but may also cause serious problems such as pipe blockage and poor water flow.

[0003] The Poly-Pig pipe cleaning technology can select appropriate pigging devices according to the rust and scaling conditions of different hardness. This technology can not only effectively remove the rust and scaling substances inside the pipeline but also be applicable to the initial water passing and cleaning work of newly laid pipelines, with the advantages of water conservation and high efficiency. The Poly-Pig pigging technology is applicable to the descaling operations of pipelines with various diameters of DN100mm and above, and the single cleaning length can cover a range from dozens of meters to several kilometers. As long as the pipeline does not have a diameter change, this technology can smoothly pass through elbows and valves at any angle (except butterfly valves) to achieve long-distance pipeline cleaning.

[0004] However, although the use of the Poly-Pig pipe cleaning technology can greatly improve the cleanliness of water supply pipe networks, the existing flushing methods still face the problem of low cleaning efficiency.

[0005] Therefore, it is necessary to design a pulse flushing method and system for water supply pipe networks to solve the problems existing in the current technology. Summary of the Invention

[0006] In view of this, the present invention proposes a pulse flushing method and system for water supply pipe networks, aiming to improve the cleaning efficiency of water supply pipe networks.

[0007] On the one hand, the present invention proposes a pulse flushing system for water supply pipe networks, including:

[0008] An acquisition module, configured to acquire the pipeline water quality data before flushing and the pipeline water quality data after flushing in the pipeline network monitoring area; respectively record the pipeline water quality data before flushing as the first pipeline water quality data, and the pipeline water quality data after flushing as the second pipeline water quality data; the acquisition module is further configured to acquire the thickness of pipeline sediments in the pipeline network monitoring area;

[0009] A processing module, configured to calculate an index of pipeline pollution degree before flushing based on the first pipeline water quality data, and determine whether to start a pulse flushing device according to the pipeline pollution degree index; when it is determined that the pulse flushing device needs to be started, determine initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness;

[0010] A judgment module, configured to compare each item of water quality data in the second pipeline water quality data with corresponding water quality thresholds, and determine whether to replenish the pipe network monitoring area according to the comparison results;

[0011] A replenishment module, configured to, when it is determined that the pipe network monitoring area needs to be replenished, control the acquisition module to acquire the distance from the pulse flushing device to the pipe network monitoring area, and determine a flushing influence factor according to the second pipeline water quality data and the distance; compare the flushing influence factor with historical data, determine replenishment flushing parameters according to the comparison results, and flush the inside of the pipe network monitoring area according to the replenishment flushing parameters.

[0012] Further, when calculating the pipeline pollution degree index before flushing based on the first pipeline water quality data, it includes:

[0013] The first pipeline water quality data includes the first liquid turbidity, the first residual chlorine concentration, and the first liquid pH in the pipe network monitoring area;

[0014] Calculate the pipeline pollution degree index according to the first liquid turbidity, the first residual chlorine concentration, and the first liquid pH;

[0015] The pipeline pollution degree index is obtained by the following formula:

[0016] ;

[0017] where CPI represents the pipeline pollution degree index; T1 represents the first liquid turbidity; Tt represents the liquid turbidity threshold; pH1 represents the first liquid pH value; pHo represents the ideal pH value; pHt represents the allowable deviation range of pH; C1 represents the first residual chlorine concentration; Ct represents the residual chlorine concentration threshold; ω1 represents the first weight coefficient; ω2 represents the second weight coefficient; ω3 represents the third weight coefficient.

[0018] Further, when determining whether to start a pulse flushing device according to the pipeline pollution degree index, it includes:

[0019] Compare the pipeline pollution degree index with a pipeline pollution degree index threshold, and determine whether to start a pulse flushing device according to the comparison results;

[0020] When the pipeline pollution degree index is greater than the pipeline pollution degree index threshold, it is determined that the pulse flushing device needs to be started;

[0021] When the pipeline pollution degree index is less than or equal to the pipeline pollution degree index threshold, it is determined that the pulse flushing device does not need to be started.

[0022] Further, when determining the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness, it includes:

[0023] Perform a weighted average calculation on the pipeline pollution degree index and the pipeline sediment thickness to obtain a flushing influence index;

[0024] Determine the initial flushing parameters of the pulse flushing device according to the flushing influence index;

[0025] Compare the flushing influence index with the first flushing influence index and the second flushing influence index respectively, and determine the initial flushing parameters according to the comparison results; wherein, the first flushing influence index is less than the second flushing influence index;

[0026] When the flushing influence index is less than or equal to the first flushing influence index, determine the initial flushing parameters as the first initial flushing parameters;

[0027] When the flushing influence index is greater than the first flushing influence index and less than or equal to the second flushing influence index, determine the initial flushing parameters as the second initial flushing parameters;

[0028] When the flushing influence index is greater than the second flushing influence index, determine the initial flushing parameters as the third initial flushing parameters;

[0029] Wherein, the first initial flushing parameters are less than the second initial flushing parameters, and the second initial flushing parameters are less than the third initial flushing parameters.

[0030] Further, when judging whether it is necessary to supplement the pipe network monitoring area according to the comparison results, it includes:

[0031] When each water quality data in the second pipeline water quality data is less than or equal to the water quality threshold, it is determined that there is no need to supplement the pipe network monitoring area;

[0032] When there is water quality data greater than the water quality threshold in the second pipeline water quality data, it is determined that it is necessary to supplement the pipe network monitoring area.

[0033] Further, when determining the flushing influence factor according to the second pipeline water quality data and the distance, it includes:

[0034] The water quality data of the second pipeline includes the second liquid turbidity, the second residual chlorine concentration, and the second liquid pH within the pipeline network monitoring area;

[0035] Determine the flushing influence factor according to the second liquid turbidity, the second residual chlorine concentration, the second liquid pH, and the distance;

[0036] The flushing influence factor is obtained by the following formula:

[0037] ;

[0038] Where CIF represents the flushing influence factor; T2 represents the second liquid turbidity; Tt represents the liquid turbidity threshold; C2 represents the second residual chlorine concentration; Ct represents the residual chlorine concentration threshold; pH2 represents the second liquid pH value; pHo represents the ideal pH value; α represents the first influence coefficient; β represents the second influence coefficient; γ represents the third influence coefficient; D represents the distance.

[0039] Further, when comparing the flushing influence factor with historical data, determining supplementary flushing parameters according to the comparison result, and flushing the inside of the pipeline network monitoring area according to the supplementary flushing parameters, includes:

[0040] When there is a historical flushing influence factor in the historical data that is the same as the flushing influence factor, flush the inside of the pipeline network monitoring area according to the supplementary flushing parameters corresponding to the historical flushing influence factor;

[0041] When there is no historical flushing influence factor in the historical data that is the same as the flushing influence factor, calculate the maximum similarity between the flushing influence factor and the historical data, determine the supplementary flushing parameters according to the maximum similarity, and flush the inside of the pipeline network monitoring area according to the supplementary flushing parameters.

[0042] Further, when determining the supplementary flushing parameters according to the maximum similarity and flushing the inside of the pipeline network monitoring area according to the supplementary flushing parameters, includes:

[0043] The maximum similarity is obtained by the following formula:

[0044] ;

[0045] Where Smax represents the maximum similarity; CIF represents the flushing influence factor; HCIi represents the i-th historical flushing influence factor in the historical data; n represents the number of historical flushing influence factors in the historical data.

[0046] Further, when determining the supplementary flushing parameters according to the maximum similarity and flushing the inside of the pipe network monitoring area according to the supplementary flushing parameters, it further includes:

[0047] Compare the maximum similarity with the first maximum similarity and the second maximum similarity respectively, and determine the supplementary flushing parameters according to the comparison result; wherein, the first maximum similarity is less than the second maximum similarity;

[0048] When the maximum similarity is less than or equal to the first maximum similarity, determine the supplementary flushing parameters as the first supplementary flushing parameters, and flush the inside of the pipe network monitoring area according to the first supplementary flushing parameters;

[0049] When the maximum similarity is greater than the first maximum similarity and less than or equal to the second maximum similarity, determine the supplementary flushing parameters as the second supplementary flushing parameters, and flush the inside of the pipe network monitoring area according to the second supplementary flushing parameters;

[0050] When the maximum similarity is greater than the second maximum similarity, determine the supplementary flushing parameters as the third supplementary flushing parameters, and flush the inside of the pipe network monitoring area according to the third supplementary flushing parameters.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows: The pulse flushing system for water supply pipe network provided by the present invention can accurately judge the flushing demand, optimize the flushing process, and reduce unnecessary resource waste; it can also flexibly adjust the supplementary flushing strategy according to the water quality improvement situation and distance factors after flushing to ensure the continuous compliance of the pipe network water quality, greatly improving the management efficiency and water quality safety of the water supply pipe network; through the collaborative work of each module, the entire pulse flushing process is more efficient and controllable, providing strong technical support for the maintenance and management of the water supply pipe network.

[0052] On the other hand, the present invention also proposes a pulse flushing method for a water supply pipe network, including the following steps:

[0053] S100: Collect the pipeline water quality data before flushing and the pipeline water quality data after flushing in the pipe network monitoring area; respectively record the pipeline water quality data before flushing as the first pipeline water quality data, and record the pipeline water quality data after flushing as the second pipeline water quality data; collect the pipeline sediment thickness in the pipe network monitoring area;

[0054] S200: Calculate the pipeline pollution degree index before flushing according to the first pipeline water quality data, and judge whether to start the pulse flushing device according to the pipeline pollution degree index; when it is determined that the pulse flushing device needs to be started, determine the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness;

[0055] S300: Compare each water quality data in the water quality data of the second pipeline with the corresponding water quality threshold, and determine whether it is necessary to replenish the pipe network monitoring area according to the comparison result.

[0056] S400: When it is determined that it is necessary to replenish the pipe network monitoring area, collect the distance from the pulse flushing device to the pipe network monitoring area, and determine the flushing influence factor according to the water quality data of the second pipeline and the distance; compare the flushing influence factor with historical data, determine the replenishment flushing parameters according to the comparison result, and flush the inside of the pipe network monitoring area according to the replenishment flushing parameters.

[0057] It can be understood that the above-mentioned pulse flushing method and system for a water supply pipe network have the same beneficial effects, which will not be elaborated here. Description of the Drawings

[0058] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0059] Figure 1 is a structural block diagram of a pulse flushing system for a water supply pipe network provided by an embodiment of the present invention;

[0060] Figure 2 is a flowchart of a pulse flushing method for a water supply pipe network provided by an embodiment of the present invention. Detailed Embodiments

[0061] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the drawings. Although the exemplary embodiments of the present disclosure are shown in the 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 so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention 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 drawings and in conjunction with the embodiments.

[0062] Refer to Figure 1 As shown, in some embodiments of the present application, the present embodiment provides a pulse flushing system for a water supply pipe network, including:

[0063] A collection module, configured to collect the pipeline water quality data before flushing and the pipeline water quality data after flushing in the pipeline network monitoring area; respectively record the pipeline water quality data before flushing as the first pipeline water quality data, and record the pipeline water quality data after flushing as the second pipeline water quality data; the collection module is also configured to collect the thickness of the pipeline sediment in the pipeline network monitoring area;

[0064] A processing module, configured to calculate the pipeline pollution degree index before flushing according to the first pipeline water quality data, and judge whether to start the pulse flushing device according to the pipeline pollution degree index; when it is determined that the pulse flushing device needs to be started, determine the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness;

[0065] A judgment module, configured to compare each item of water quality data in the second pipeline water quality data with the corresponding water quality threshold, and judge whether it is necessary to replenish the pipeline network monitoring area according to the comparison result;

[0066] A replenishment module, configured to control the collection module to collect the distance from the pulse flushing device to the pipeline network monitoring area when it is determined that the pipeline network monitoring area needs to be replenished, and determine the flushing influence factor according to the second pipeline water quality data and the distance; compare the flushing influence factor with historical data, determine the replenishment flushing parameters according to the comparison result, and flush the inside of the pipeline network monitoring area according to the replenishment flushing parameters.

[0067] In this embodiment, the initial flushing parameters include an initial pulse frequency, an initial flushing duration, and an initial flushing pressure. The initial pulse frequency refers to the number of pulses generated per second when the pulse flushing device is started; the initial flushing duration refers to the time during which the pulse flushing device continuously works; the initial flushing pressure refers to the water pressure output when the pulse flushing device works. The settings of these initial flushing parameters can be adjusted according to the different pipeline pollution degree indexes and pipeline sediment thicknesses to achieve the best flushing effect.

[0068] In this embodiment, the replenishment flushing parameters include a replenishment pulse frequency, a replenishment flushing duration, and a replenishment flushing pressure. The replenishment pulse frequency refers to the number of pulses generated per second by the pulse flushing device during the replenishment stage; the replenishment flushing duration refers to the time during which the pulse flushing device continuously works during the replenishment stage; the replenishment flushing pressure refers to the water pressure output when the pulse flushing device works during the replenishment stage. The settings of these replenishment flushing parameters can be determined according to the comparison result of the flushing influence factor and historical data to ensure that a good flushing effect can also be achieved during the replenishment stage.

[0069] It can be seen that the pulse flushing system for water supply networks provided in this embodiment realizes the intelligent control of the pulse flushing process of water supply networks through the collaborative work of the acquisition module, the processing module, the judgment module, and the replenishment module. This system can not only accurately judge the flushing requirements based on the pipeline water quality data and sediment thickness, but also flexibly adjust the replenishment strategy according to the water quality improvement situation and distance factors after flushing to ensure that the water quality of the water supply network continuously meets the standards. In the specific implementation process, the acquisition module is used to obtain the water quality data and sediment information in the monitored area of the water supply network in real time, providing a reliable basis for subsequent processing; the processing module, based on this data, calculates the pipeline pollution degree index through a complex algorithm model, and determines whether to start the pulse flushing device accordingly. Once it is determined that flushing is required, the processing module will also combine the sediment thickness to set reasonable initial flushing parameters for the pulse flushing device to ensure the maximization of the flushing effect; after the flushing is completed, the judgment module will intervene to comprehensively analyze the water quality data after flushing to judge whether further replenishment is required; if replenishment is required, the replenishment module will quickly respond, collect the distance information from the pulse flushing device to the monitored area of the water supply network, and calculate the flushing impact factor together with the water quality data. Subsequently, the replenishment module will compare the flushing impact factor with the historical data to find the best-matched replenishment flushing parameters, and finally achieve the precise replenishment of the monitored area of the water supply network.

[0070] It can be understood that the pulse flushing system for water supply networks provided in this embodiment can accurately judge the flushing requirements, optimize the flushing process, and reduce unnecessary resource waste; it can also flexibly adjust the replenishment strategy according to the water quality improvement situation and distance factors after flushing to ensure that the water quality of the water supply network continuously meets the standards, greatly improving the management efficiency and water quality safety of the water supply network; through the collaborative work of each module, the entire pulse flushing process is made more efficient and controllable, providing strong technical support for the maintenance and management of the water supply network.

[0071] Specifically, when calculating the pipeline pollution degree index before flushing according to the first pipeline water quality data, it includes:

[0072] The first pipeline water quality data includes the first liquid turbidity, the first residual chlorine concentration, and the first liquid pH in the monitored area of the water supply network;

[0073] Calculate the pipeline pollution degree index according to the first liquid turbidity, the first residual chlorine concentration, and the first liquid pH;

[0074] The pipeline pollution degree index is obtained through the following formula:

[0075] ;

[0076] Wherein, CPI represents the pipeline pollution degree index; T1 represents the turbidity of the first liquid; Tt represents the liquid turbidity threshold; pH1 represents the pH value of the first liquid; pHo represents the ideal pH value; pHt represents the allowable deviation range of pH; C1 represents the concentration of the first residual chlorine; Ct represents the residual chlorine concentration threshold; ω1 represents the first weight coefficient; ω2 represents the second weight coefficient; ω3 represents the third weight coefficient.

[0077] In this embodiment, the liquid turbidity threshold is obtained through long-term practical experience accumulation and is usually set as the lowest turbidity value that can keep the water quality clear and transparent; the ideal pH value is the pH value when the water quality is in the best state and is usually set as 7; the allowable deviation range of pH is the pH fluctuation range set to ensure the safety and stability of the water quality; the residual chlorine concentration threshold is the lowest value set to ensure that the residual chlorine content in the water is sufficient to kill or inhibit the growth of bacteria. The setting of these thresholds comprehensively considers multiple factors such as water quality safety, pipeline material tolerance, and water treatment cost, ensuring the accuracy and practicability of the pulse flushing system.

[0078] In this embodiment, the first weight coefficient is preferably 0.5, the second weight coefficient is preferably 0.3, and the third weight coefficient is preferably 0.2. The setting of these weight coefficients is based on a comprehensive analysis of water quality pollution factors and long-term practical experience accumulation, ensuring that the pipeline pollution degree index can accurately reflect the actual situation of the pipeline water quality.

[0079] Specifically, when judging whether to start the pulse flushing device according to the pipeline pollution degree index, it includes:

[0080] Comparing the pipeline pollution degree index with the pipeline pollution degree index threshold, and judging whether to start the pulse flushing device according to the comparison result;

[0081] When the pipeline pollution degree index is greater than the pipeline pollution degree index threshold, it is determined that the pulse flushing device needs to be started;

[0082] When the pipeline pollution degree index is less than or equal to the pipeline pollution degree index threshold, it is determined that the pulse flushing device does not need to be started.

[0083] It can be understood that the setting of the pipeline pollution degree index threshold is based on long-term practical experience and scientific analysis, aiming to ensure that the pulse flushing device is started in time when the pipeline water quality deteriorates to a certain extent, and to avoid the impact of further water quality deterioration on residents' lives and industrial production. In practical applications, the pipeline pollution degree index threshold can be adjusted according to specific pipeline network conditions, water quality requirements, and flushing costs and other factors to achieve the best balance between flushing effect and economic benefits.

[0084] Specifically, when determining the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness, it includes:

[0085] Perform a weighted average calculation on the pipeline pollution degree index and the pipeline sediment thickness to obtain a flushing influence index;

[0086] Determine the initial flushing parameters of the pulse flushing device according to the flushing influence index;

[0087] Compare the flushing influence index with the first flushing influence index and the second flushing influence index respectively, and determine the initial flushing parameters according to the comparison results; wherein, the first flushing influence index is less than the second flushing influence index;

[0088] When the flushing influence index is less than or equal to the first flushing influence index, determine the initial flushing parameters as the first initial flushing parameters;

[0089] When the flushing influence index is greater than the first flushing influence index and less than or equal to the second flushing influence index, determine the initial flushing parameters as the second initial flushing parameters;

[0090] When the flushing influence index is greater than the second flushing influence index, determine the initial flushing parameters as the third initial flushing parameters;

[0091] Wherein, the first initial flushing parameters are less than the second initial flushing parameters, and the second initial flushing parameters are less than the third initial flushing parameters.

[0092] It can be understood that by comprehensively considering the pipeline pollution degree index and the pipeline sediment thickness, the pulse flushing system provided in this embodiment can more accurately determine the flushing requirements and set reasonable initial flushing parameters accordingly. This way of parameter setting not only improves the flushing efficiency but also effectively avoids resource waste caused by insufficient flushing intensity or excessive flushing. In the specific implementation process, the introduction of the flushing influence index provides a more scientific basis for determining the initial flushing parameters. By comparing the flushing influence index with the preset first flushing influence index and second flushing influence index, the system can automatically select the most suitable initial flushing parameters to ensure the maximization of the flushing effect.

[0093] Specifically, when judging whether it is necessary to replenish the pipe network monitoring area according to the comparison results, it includes:

[0094] When each water quality data in the second pipeline water quality data is less than or equal to the water quality threshold, it is determined that there is no need to replenish the pipe network monitoring area;

[0095] When there is water quality data in the second pipeline that is greater than the water quality threshold, it is determined that the pipe network monitoring area needs to be flushed.

[0096] Specifically, when determining the flushing impact factor based on the second pipeline water quality data and the distance, it includes:

[0097] The second pipeline water quality data includes the second liquid turbidity, the second residual chlorine concentration, and the second liquid pH in the pipe network monitoring area;

[0098] Determine the flushing impact factor based on the second liquid turbidity, the second residual chlorine concentration, the second liquid pH, and the distance;

[0099] The flushing impact factor is obtained through the following formula:

[0100] ;

[0101] Where CIF represents the flushing impact factor; T2 represents the second liquid turbidity; Tt represents the liquid turbidity threshold; C2 represents the second residual chlorine concentration; Ct represents the residual chlorine concentration threshold; pH2 represents the second liquid pH value; pHo represents the ideal pH value; α represents the first impact coefficient; β represents the second impact coefficient; γ represents the third impact coefficient; D represents the distance.

[0102] It can be understood that the calculation of the flushing impact factor comprehensively considers the water quality improvement situation and the distance factor, providing a more accurate basis for determining the flushing parameters for flushing. In this embodiment, the setting of the first impact coefficient, the second impact coefficient, and the third impact coefficient is based on the comprehensive analysis of the water quality improvement effect and the distance factor, ensuring that the flushing impact factor can accurately reflect the deviation degree between the water quality after flushing and the ideal state and the impact of the distance on the flushing effect. The setting of these coefficients also considers multiple factors such as water quality safety, pipeline material tolerance, and water treatment cost, ensuring the accuracy and practicality of the pulse flushing system.

[0103] Specifically, when comparing the flushing impact factor with historical data, determining the flushing parameters for flushing based on the comparison result, and flushing the interior of the pipe network monitoring area according to the flushing parameters for flushing, it includes:

[0104] When there is a historical flushing impact factor in the historical data that is the same as the flushing impact factor, flush the interior of the pipe network monitoring area according to the flushing parameters for flushing corresponding to the historical flushing impact factor;

[0105] When there is no historical flushing impact factor in the historical data that is the same as the current flushing impact factor, calculate the maximum similarity between the flushing impact factor and the historical data, determine the supplementary flushing parameters based on the maximum similarity, and flush the interior of the pipe network monitoring area according to the supplementary flushing parameters.

[0106] It can be understood that by comparing the flushing impact factor with the historical data, the pulse flushing system provided in this embodiment can make full use of historical flushing experience and quickly determine the supplementary flushing parameters. When there is a historical flushing impact factor in the historical data that is exactly the same as the current flushing impact factor, the system can directly adopt the supplementary flushing parameters corresponding to this historical flushing impact factor, which not only improves the flushing efficiency but also ensures the stability and predictability of the flushing effect. When there is no historical flushing impact factor in the historical data that is exactly the same as the current flushing impact factor, the system calculates the maximum similarity between the flushing impact factor and the historical data to find the closest flushing impact factor and determines the supplementary flushing parameters accordingly. Although this method of determining parameters based on the maximum similarity is relatively complex, it can more accurately reflect the deviation degree between the water quality after flushing and the ideal state and the impact of distance on the flushing effect, thus ensuring the accuracy and reliability of the flushing effect.

[0107] Specifically, when determining the supplementary flushing parameters based on the maximum similarity and flushing the interior of the pipe network monitoring area according to the supplementary flushing parameters, it includes:

[0108] The maximum similarity is obtained by the following formula:

[0109] ;

[0110] where Smax represents the maximum similarity; CIF represents the flushing impact factor; HCIi represents the i-th historical flushing impact factor in the historical data; and n represents the number of historical flushing impact factors in the historical data.

[0111] In this embodiment, the historical data includes multiple historical flushing cases, and each case details the flushing impact factor, the supplementary flushing parameters, and the water quality improvement after flushing. These historical data provide rich flushing experience for the system, enabling the system to quickly find the most suitable flushing strategy when facing new flushing requirements.

[0112] It can be understood that the calculation of the maximum similarity comprehensively considers the similarity between the current flushing influence factor and the historical flushing influence factor, providing a more scientific basis for determining the supplementary flushing parameters. In the specific implementation process, the system will first traverse all the historical flushing influence factors in the historical data, calculate the similarity between the current flushing influence factor and each historical flushing influence factor, and find the historical flushing influence factor with the maximum similarity.

[0113] Specifically, when determining the supplementary flushing parameters according to the maximum similarity and flushing the inside of the pipe network monitoring area according to the supplementary flushing parameters, it further includes:

[0114] Compare the maximum similarity with the first maximum similarity and the second maximum similarity respectively, and determine the supplementary flushing parameters according to the comparison result; wherein, the first maximum similarity is less than the second maximum similarity;

[0115] When the maximum similarity is less than or equal to the first maximum similarity, determine the supplementary flushing parameters as the first supplementary flushing parameters, and flush the inside of the pipe network monitoring area according to the first supplementary flushing parameters;

[0116] When the maximum similarity is greater than the first maximum similarity and less than or equal to the second maximum similarity, determine the supplementary flushing parameters as the second supplementary flushing parameters, and flush the inside of the pipe network monitoring area according to the second supplementary flushing parameters;

[0117] When the maximum similarity is greater than the second maximum similarity, determine the supplementary flushing parameters as the third supplementary flushing parameters, and flush the inside of the pipe network monitoring area according to the third supplementary flushing parameters.

[0118] In this embodiment, the first supplementary flushing parameters are less than the second supplementary flushing parameters, and the second supplementary flushing parameters are less than the third supplementary flushing parameters. This way of parameter setting not only considers the accuracy of the flushing effect but also takes into account the control of the flushing cost. In the specific implementation process, by comparing the maximum similarity with the preset first maximum similarity and second maximum similarity, the system can automatically select the most appropriate supplementary flushing parameters to ensure the best balance between the flushing effect and economic benefits. In addition, this method of determining parameters based on the maximum similarity also has a certain adaptability, which can flexibly adjust the supplementary flushing strategy according to the historical flushing experience and the changes in the current flushing requirements, improving the flushing efficiency and water quality safety.

[0119] Refer to Figure 2 As shown, in some embodiments of the present application, this embodiment provides a pulse flushing method for a water supply pipe network, including the following steps:

[0120] S100: Collect the pipeline water quality data before flushing and after flushing in the pipeline network monitoring area; respectively record the pipeline water quality data before flushing as the first pipeline water quality data, and record the pipeline water quality data after flushing as the second pipeline water quality data; collect the thickness of pipeline sediments in the pipeline network monitoring area;

[0121] S200: Calculate the pipeline pollution degree index before flushing according to the first pipeline water quality data, and judge whether to start the pulse flushing device according to the pipeline pollution degree index; when it is determined that the pulse flushing device needs to be started, determine the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness;

[0122] S300: Compare each item of water quality data in the second pipeline water quality data with the corresponding water quality threshold, and judge whether it is necessary to replenish the pipeline network monitoring area according to the comparison result;

[0123] S400: When it is determined that it is necessary to replenish the pipeline network monitoring area, collect the distance from the pulse flushing device to the pipeline network monitoring area, and determine the flushing influence factor according to the second pipeline water quality data and the distance; compare the flushing influence factor with historical data, determine the replenishment flushing parameters according to the comparison result, and flush the inside of the pipeline network monitoring area according to the replenishment flushing parameters.

[0124] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt 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 code.

[0125] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram can be realized by computer program instructions, and the combination of processes and / or blocks in the flowchart and / or block diagram can also be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0126] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction means that implements the functions specified in one or more of the processes and / or blocks Figure 1 in one or more of the processes and / or blocks Figure 1 specified in the function.

[0127] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the processes and / or blocks Figure 1 in one or more of the processes and / or blocks Figure 1 specified in the function.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A pulse flushing system for a water supply network, characterized in that: include: The collection module is configured to collect pipeline water quality data before flushing and pipeline water quality data after flushing in the pipeline network monitoring area; the pipeline water quality data before flushing is recorded as first pipeline water quality data, and the pipeline water quality data after flushing is recorded as second pipeline water quality data; the collection module is also configured to collect the thickness of pipeline sediments in the pipeline network monitoring area; A processing module is configured to calculate a pipeline pollution degree index before flushing according to the first pipeline water quality data, and determine whether a pulse flushing device needs to be started according to the pipeline pollution degree index; When it is determined that the pulse flushing device needs to be started, the initial flushing parameters of the pulse flushing device are determined according to the pipeline pollution degree index and the pipeline sediment thickness; A judgment module is configured to compare each water quality data in the second pipeline water quality data with a corresponding water quality threshold, and judge whether it is necessary to recharge the pipe network monitoring area according to the comparison result; The re-flushing module is configured to, when it is determined that the pipe network monitoring area needs to be re-flushed, control the acquisition module to acquire the distance from the pulse flushing device to the pipe network monitoring area, determine the flushing influence factor according to the second pipeline water quality data and the distance; compare the flushing influence factor with the historical data, determine the re-flushing parameters according to the comparison result, and flush the inside of the pipe network monitoring area according to the re-flushing parameters; When determining the flushing influencing factor according to the second pipeline water quality data and the distance, it includes: The second pipeline water quality data includes a second liquid turbidity, a second residual chlorine concentration, and a second liquid pH in the pipeline network monitoring area; Determining the flushing influencing factor according to the second liquid turbidity, the second residual chlorine concentration, the second liquid pH and the distance; The flushing influence factor is obtained by the following formula: ； Wherein, CIF represents the flushing influence factor; T2 represents the second liquid turbidity; Tt represents the liquid turbidity threshold; C2 represents the second residual chlorine concentration; Ct represents the residual chlorine concentration threshold; pH2 represents the second liquid pH value; pHo represents the ideal pH value; α represents the first influence coefficient; β represents the second influence coefficient; γ represents the third influence coefficient; D represents the distance; The flushing influencing factor is compared with the historical data, and the supplementary flushing parameters are determined according to the comparison result, and the inside of the pipe network monitoring area is flushed according to the supplementary flushing parameters, including: When there is a historical flushing influence factor identical to the flushing influence factor in the historical data, flushing the interior of the pipe network monitoring area according to the supplementary flushing parameters corresponding to the historical flushing influence factor; When there is no historical flushing influence factor identical to the flushing influence factor in the historical data, the maximum similarity between the flushing influence factor and the historical data is calculated, the supplementary flushing parameter is determined according to the maximum similarity, and the inside of the pipe network monitoring area is flushed according to the supplementary flushing parameter; Determining the supplementary flushing parameters according to the maximum similarity, and flushing the inside of the pipe network monitoring area according to the supplementary flushing parameters, including: The maximum similarity is obtained by the following formula: ； Among them, Smax represents the maximum similarity; CIF represents the flushing influence factor; HCIi represents the i-th historical flushing influence factor in the historical data; and n represents the number of historical flushing influence factors in the historical data.

2. The pulse flushing system for a water supply network according to claim 1, characterized in that: When calculating the pipeline pollution degree index before flushing according to the first pipeline water quality data, it includes: The first pipeline water quality data includes a first liquid turbidity, a first residual chlorine concentration and a first liquid pH in the pipe network monitoring area; Calculating the pipeline pollution degree index according to the first liquid turbidity, the first residual chlorine concentration and the first liquid pH; The pipeline pollution degree index is obtained by the following formula: ； Among them, CPI represents the pipeline pollution index; T1 represents the first liquid turbidity; Tt represents the liquid turbidity threshold; pH1 represents the first liquid pH value; pHo represents the ideal pH value; pHt represents the allowable deviation range of pH; C1 represents the first residual chlorine concentration; Ct represents the residual chlorine concentration threshold; ω1 represents the first weight coefficient; ω2 represents the second weight coefficient; ω3 represents the third weight coefficient.

3. The pulse flushing system for a water supply network according to claim 1, characterized in that: When judging whether it is necessary to start the pulse flushing device according to the pipeline pollution degree index, it includes: Comparing the pipeline pollution degree index with the pipeline pollution degree index threshold, and judging whether it is necessary to start the pulse flushing device according to the comparison result; When the pipeline pollution degree index is greater than the pipeline pollution degree index threshold, it is determined that the pulse flushing device needs to be started; When the pipeline pollution degree index is less than or equal to the pipeline pollution degree index threshold, it is determined that there is no need to start the pulse flushing device.

4. The pulse flushing system for a water supply network according to claim 1, characterized in that: When determining the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness, it includes: Performing weighted average calculation on the pipeline pollution degree index and the pipeline sediment thickness to obtain a flushing impact index; Determining the initial flushing parameters of the pulse flushing device according to the flushing influence index; Comparing the flushing influence index with the first flushing influence index and the second flushing influence index respectively, and determining the initial flushing parameter according to the comparison result; wherein the first flushing influence index is less than the second flushing influence index; When the flushing influence index is less than or equal to the first flushing influence index, determining the initial flushing parameter to be a first initial flushing parameter; When the flushing influence index is greater than the first flushing influence index and less than or equal to the second flushing influence index, determining the initial flushing parameter to be a second initial flushing parameter; When the flushing influence index is greater than the second flushing influence index, determining the initial flushing parameter to be a third initial flushing parameter; The first initial flushing parameter is smaller than the second initial flushing parameter, and the second initial flushing parameter is smaller than the third initial flushing parameter.

5. The pulse flushing system for a water supply network according to claim 1, characterized in that: When judging whether it is necessary to supplement the pipe network monitoring area according to the comparison result, it includes: When all water quality data in the second pipeline water quality data are less than or equal to the water quality threshold, it is determined that the pipe network monitoring area does not need to be recharged; When water quality data in the second pipeline water quality data is greater than the water quality threshold, it is determined that the pipe network monitoring area needs to be recharged.

6. The pulse flushing system for a water supply network according to claim 1, characterized in that: When the supplementary flushing parameters are determined according to the maximum similarity, and the inside of the pipe network monitoring area is flushed according to the supplementary flushing parameters, it also includes: Comparing the maximum similarity with the first maximum similarity and the second maximum similarity respectively, and determining the supplementary flushing parameters according to the comparison results; wherein the first maximum similarity is smaller than the second maximum similarity; When the maximum similarity is less than or equal to the first maximum similarity, determining the supplementary flushing parameter to be the first supplementary flushing parameter, and flushing the interior of the pipe network monitoring area according to the first supplementary flushing parameter; When the maximum similarity is greater than the first maximum similarity and less than or equal to the second maximum similarity, determining the supplementary flushing parameter to be the second supplementary flushing parameter, and flushing the interior of the pipe network monitoring area according to the second supplementary flushing parameter; When the maximum similarity is greater than the second maximum similarity, the supplementary flushing parameter is determined to be a third supplementary flushing parameter, and the inside of the pipe network monitoring area is flushed according to the third supplementary flushing parameter.

7. A pulse flushing method for a water supply network, applied to a pulse flushing system for a water supply network as claimed in any one of claims 1 to 6, characterized in that: include: Collect pipeline water quality data before flushing and pipeline water quality data after flushing in the pipeline network monitoring area; record the pipeline water quality data before flushing as first pipeline water quality data, and record the pipeline water quality data after flushing as second pipeline water quality data; collect pipeline sediment thickness in the pipeline network monitoring area; Calculate the pipeline pollution degree index before flushing according to the first pipeline water quality data, and determine whether it is necessary to start the pulse flushing device according to the pipeline pollution degree index; When it is determined that the pulse flushing device needs to be started, the initial flushing parameters of the pulse flushing device are determined according to the pipeline pollution degree index and the pipeline sediment thickness; Compare each item of water quality data in the second pipeline water quality data with the corresponding water quality threshold, and determine whether it is necessary to recharge the pipe network monitoring area according to the comparison result; When it is determined that the pipe network monitoring area needs to be supplemented with flushing, the distance from the pulse flushing device to the pipe network monitoring area is collected, and the flushing influence factor is determined based on the second pipeline water quality data and the distance; the flushing influence factor is compared with the historical data, and the supplementary flushing parameters are determined based on the comparison result, and the inside of the pipe network monitoring area is flushed according to the supplementary flushing parameters.

Images