Pulse flushing method and system for water supply network

Abstract

The invention relates to the technical field of water supply network flushing, and discloses a pulse flushing method and system for a water supply network, and the system comprises a collection module which is configured to collect the water quality data of a pipeline before flushing and the water quality data of a pipeline after flushing in a pipe network monitoring area; recording the water quality data of the pipeline before flushing as first pipeline water quality data and recording the water quality data of the pipeline after flushing as second pipeline water quality data; the acquisition module is further configured to acquire the thickness of pipeline sediment in a pipe network monitoring area; the processing module is used for determining initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the pipeline sediment thickness; the judging module is used for judging whether the pipe network monitoring area needs to be recharged or not according to the comparison result; and the supplementary flushing module is used for flushing the interior of the pipe network monitoring area according to the supplementary flushing parameters. Through cooperative work of all the modules, the whole pulse washing process is more efficient and controllable.

Description

Technical Field

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

[0002] In the urban water supply system, the water supply network plays a vital role. The stability of its operation and the cleanliness of the water quality are directly related to the quality of life of residents and the effective use of water resources. After a long period of operation, various impurities and dirt are easily accumulated inside the water supply network, including sediments, microorganisms, rust products, etc. These dirt will not only reduce the water quality, but also may cause serious problems such as pipe blockage and poor water flow.

[0003] Poly-Pig pipeline cleaning technology can select appropriate pipe cleaners for different hardness of rust and scaling. This technology can not only effectively remove rust and scaling materials inside the pipeline, but also is suitable for the initial water cleaning of newly laid pipelines, with the advantages of water saving and high efficiency. Poly-Pig pipe cleaning technology is suitable for descaling operations of pipelines of various diameters of DN100mm and above, and its single cleaning length can cover a range from tens of meters to thousands of meters. As long as the pipeline does not change diameter, this technology can smoothly pass through bends and valves (except butterfly valves) of any angle to achieve long-distance pipeline cleaning.

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

[0005] Therefore, it is necessary to design a pulse flushing method and system for a water supply network 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 a water supply network, aiming to improve the cleaning efficiency of the water supply network.

[0007] In one aspect, the present invention provides a pulse flushing system for a water supply network, comprising: 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 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, determine an initial flushing parameter of the pulse flushing device according to the pipeline pollution degree index and the thickness of the pipeline sediment; 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 control the acquisition module to acquire the distance from the pulse flushing device to the pipe network monitoring area when it is determined that the pipe network monitoring area needs to be re-flushed, and 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.

[0008] Further, 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.

[0009] Further, judging whether it is necessary to start the pulse flushing device according to the pipeline pollution degree index 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.

[0010] 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: 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.

[0011] Further, judging whether it is necessary to supplement the pipe network monitoring area according to the comparison result 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.

[0012] Further, when determining the flushing influence 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: ; Among them, CIF represents the flushing influence factor; T2 represents the turbidity of the second liquid; Tt represents the liquid turbidity threshold; C2 represents the second residual chlorine concentration; Ct represents the residual chlorine concentration threshold; pH2 represents the pH value of the second liquid; pHo represents the ideal pH value; α represents the first influence coefficient; β represents the second influence coefficient; γ represents the third influence coefficient; and D represents the distance.

[0013] Furthermore, the flushing influencing factor is compared with historical data, and 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 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.

[0014] Further, 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, 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.

[0015] Furthermore, 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.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: the pulse flushing system for water supply network provided by the present invention can accurately judge the flushing needs, optimize the flushing process, and reduce unnecessary waste of resources; it can also flexibly adjust the re-flushing strategy according to the water quality improvement after flushing and the distance factor, to ensure that the water quality of the network continues to meet the standards, greatly improving the management efficiency and water quality safety of the water supply network; through the coordinated work of various modules, 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.

[0017] In another aspect, the present invention also provides a pulse flushing method for a water supply network, comprising the following steps: S100: Collecting pipeline water quality data before flushing and pipeline water quality data after flushing in the pipeline network monitoring area; recording the pipeline water quality data before flushing as first pipeline water quality data, and recording the pipeline water quality data after flushing as second pipeline water quality data; collecting the thickness of pipeline sediments in the pipeline network monitoring area; S200: calculating the pipeline pollution degree index before flushing according to the first pipeline water quality data, and judging 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, determining the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the thickness of the pipeline sediment; S300: comparing each item of water quality data in the second pipeline water quality data with the corresponding water quality threshold, and judging whether it is necessary to recharge the monitoring area of ​​the pipeline network according to the comparison result; S400: 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 according to 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 according to the comparison result, and the inside of the pipe network monitoring area is flushed according to the supplementary flushing parameters.

[0018] It is understandable that the above-mentioned pulse flushing method and system for water supply network have the same beneficial effects, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] 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 A structural block diagram of a pulse flushing system for a water supply network provided by an embodiment of the present invention; Figure 2 A flow chart of a pulse flushing method for a water supply network provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] 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.

[0021] See also Figure 1 As shown, in some embodiments of the present application, this embodiment provides a pulse flushing system for a water supply network, comprising: 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 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, determine an initial flushing parameter of the pulse flushing device according to the pipeline pollution degree index and the thickness of the pipeline sediment; 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 control the acquisition module to acquire the distance from the pulse flushing device to the pipe network monitoring area when it is determined that the pipe network monitoring area needs to be re-flushed, and 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.

[0022] In this embodiment, the initial flushing parameters include initial pulse frequency, initial flushing duration, and 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 continuous working time of the pulse flushing device; and the initial flushing pressure refers to the water pressure output when the pulse flushing device is working. The settings of these initial flushing parameters can be adjusted according to the pipeline pollution degree index and the thickness of pipeline sediment to achieve the best flushing effect.

[0023] In this embodiment, the supplementary flushing parameters include supplementary flushing pulse frequency, supplementary flushing duration, and supplementary flushing pressure. The supplementary flushing pulse frequency refers to the number of pulses generated per second by the pulse flushing device during the supplementary flushing stage; the supplementary flushing duration refers to the time that the pulse flushing device continues to work during the supplementary flushing stage; and the supplementary flushing pressure refers to the water pressure output by the pulse flushing device when it is working during the supplementary flushing stage. The settings of these supplementary flushing parameters can be determined based on the comparison results of the flushing influencing factors and historical data to ensure that a good flushing effect can be achieved during the supplementary flushing stage.

[0024] It can be seen that the pulse flushing system for water supply network provided in this embodiment realizes intelligent control of the pulse flushing process of water supply network through the collaborative work of acquisition module, processing module, judgment module and re-flushing module. The system can not only accurately judge the flushing demand according to the pipeline water quality data and sediment thickness, but also flexibly adjust the re-flushing strategy according to the water quality improvement and distance factors after flushing to ensure that the water quality of the network continues to meet the standards. During the specific implementation process, the acquisition module is used to obtain water quality data and sediment information in the pipe network monitoring area in real time, providing a reliable basis for subsequent processing; the processing module calculates the pipeline pollution degree index based on these data through a complex algorithm model, and determines whether to start the pulse flushing device accordingly. Once it is determined that flushing is needed, the processing module will also combine the sediment thickness to set reasonable initial flushing parameters for the pulse flushing device to ensure the maximum flushing effect; after the flushing is completed, the judgment module will intervene to conduct a comprehensive analysis of the water quality data after flushing to determine whether further flushing is needed; if flushing is required, the flushing module will respond quickly, collect the distance information from the pulse flushing device to the pipe network monitoring area, and calculate the flushing influence factor together with the water quality data. Subsequently, the flushing module will compare the flushing influence factor with the historical data to find the best matching flushing parameters, and finally achieve accurate flushing of the pipe network monitoring area.

[0025] It can be understood that the pulse flushing system for the water supply network provided in this embodiment can accurately judge the flushing needs, optimize the flushing process, and reduce unnecessary waste of resources; it can also flexibly adjust the re-flushing strategy according to the water quality improvement after flushing and distance factors, to ensure that the water quality of the network continues to meet the standards, greatly improving the management efficiency and water quality safety of the water supply network; through the coordinated work of various modules, 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.

[0026] Specifically, when calculating the pipeline pollution degree index before flushing based on 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.

[0027] In this embodiment, the liquid turbidity threshold is obtained through long-term practical experience accumulation, and is usually set to 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, which is usually set to 7; the allowable deviation range of pH is the pH fluctuation range set to ensure the safety and stability of water quality; the residual chlorine concentration threshold is the minimum 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 costs, ensuring the accuracy and practicality of the pulse flushing system.

[0028] 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 pollution factors and the accumulation of long-term practical experience, ensuring that the pipeline pollution degree index can accurately reflect the actual status of pipeline water quality.

[0029] Specifically, judging whether it is necessary to start the pulse flushing device according to the pipeline pollution degree index 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.

[0030] It is understandable that the setting of pipeline pollution index threshold is based on long-term practical experience and scientific analysis, aiming to ensure that the pulse flushing device is activated in time when the pipeline water quality deteriorates to a certain extent, so as to avoid the impact of further deterioration of water quality on residents' lives and industrial production. In actual application, the pipeline pollution index threshold can be adjusted according to factors such as specific pipe network conditions, water quality requirements and flushing costs, so as to achieve the best balance between flushing effect and economic benefits.

[0031] 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: 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.

[0032] It is understandable that, through comprehensive consideration of the pipeline pollution index and the thickness of the pipeline sediment, the pulse flushing system provided in this embodiment can more accurately determine the flushing requirements and set reasonable initial flushing parameters accordingly. This parameter setting method not only improves the flushing efficiency, but also effectively avoids the waste of resources 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 the determination of the initial flushing parameters. By comparing the flushing influence index with the preset first flushing influence index and the second flushing influence index, the system can automatically select the most appropriate initial flushing parameters to ensure the maximization of the flushing effect.

[0033] Specifically, judging whether it is necessary to recharge the pipe network monitoring area according to the comparison results 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.

[0034] Specifically, 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: ; Among them, CIF represents the flushing influence factor; T2 represents the turbidity of the second liquid; Tt represents the liquid turbidity threshold; C2 represents the second residual chlorine concentration; Ct represents the residual chlorine concentration threshold; pH2 represents the pH value of the second liquid; pHo represents the ideal pH value; α represents the first influence coefficient; β represents the second influence coefficient; γ represents the third influence coefficient; and D represents the distance.

[0035] It is understandable that the calculation of the flushing influence factor comprehensively considers the water quality improvement and distance factors, providing a more accurate basis for determining the flushing parameters. In this embodiment, the setting of the first influence coefficient, the second influence coefficient and the third influence coefficient is based on a comprehensive analysis of the water quality improvement effect and the distance factor, ensuring that the flushing influence factor can accurately reflect the degree of deviation between the water quality after flushing and the ideal state and the impact of distance on the flushing effect. The setting of these coefficients also takes into account multiple factors such as water quality safety, pipeline material tolerance, and water treatment costs, ensuring the accuracy and practicality of the pulse flushing system.

[0036] Specifically, 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 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.

[0037] It can be understood that by comparing the flushing influence factor with the historical data, the pulse flushing system provided in this embodiment can make full use of the historical flushing experience and quickly determine the supplementary flushing parameters. When there is a historical flushing influence factor that is exactly the same as the current flushing influence factor in the historical data, the system can directly adopt the supplementary flushing parameters corresponding to the historical flushing influence 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 influence factor that is exactly the same as the current flushing influence factor in the historical data, the system calculates the maximum similarity between the flushing influence factor and the historical data to find the closest flushing influence factor, and determines the supplementary flushing parameters accordingly. Although this parameter determination method based on maximum similarity is relatively complex, it can more accurately reflect the degree of deviation between the water quality after flushing and the ideal state and the influence of distance on the flushing effect, thereby ensuring the accuracy and reliability of the flushing effect.

[0038] Specifically, 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 includes: 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.

[0039] In this embodiment, the historical data includes multiple historical flushing cases, each of which records in detail the flushing influencing factors, flushing parameters, and water quality improvement after flushing. These historical data provide the system with rich flushing experience, so that the system can quickly find the most appropriate flushing strategy when facing new flushing requirements.

[0040] 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 flushing parameters. In the specific implementation process, the system will first traverse all 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 greatest similarity.

[0041] Specifically, 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.

[0042] In this embodiment, the first supplementary flushing parameter is less than the second supplementary flushing parameter, and the second supplementary flushing parameter is less than the third supplementary flushing parameter. This parameter setting method not only takes into account 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 flushing effect and economic benefit. In addition, this parameter determination method based on maximum similarity also has a certain degree of adaptability, and can flexibly adjust the supplementary flushing strategy according to historical flushing experience and changes in current flushing needs, thereby improving flushing efficiency and water quality safety.

[0043] See also Figure 2 As shown, in some embodiments of the present application, this embodiment provides a pulse flushing method for a water supply network, comprising the following steps: S100: Collecting pipeline water quality data before flushing and pipeline water quality data after flushing in the pipeline network monitoring area; recording the pipeline water quality data before flushing as first pipeline water quality data, and recording the pipeline water quality data after flushing as second pipeline water quality data; collecting the thickness of pipeline sediments in the pipeline network monitoring area; S200: calculating the pipeline pollution degree index before flushing according to the first pipeline water quality data, and judging 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, determining the initial flushing parameters of the pulse flushing device according to the pipeline pollution degree index and the thickness of the pipeline sediment; S300: comparing each item of water quality data in the second pipeline water quality data with the corresponding water quality threshold, and judging whether it is necessary to recharge the monitoring area of ​​the pipeline network according to the comparison result; S400: 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 according to 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 according to the comparison result, and the inside of the pipe network monitoring area is flushed according to the supplementary flushing parameters.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] 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 A step that specifies a function in one or more boxes.

[0048] 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 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 control the acquisition module to acquire the distance from the pulse flushing device to the pipe network monitoring area when it is determined that the pipe network monitoring area needs to be re-flushed, and 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.

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 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: ； Among them, CIF represents the flushing influence factor; T2 represents the turbidity of the second liquid; Tt represents the liquid turbidity threshold; C2 represents the second residual chlorine concentration; Ct represents the residual chlorine concentration threshold; pH2 represents the pH value of the second liquid; pHo represents the ideal pH value; α represents the first influence coefficient; β represents the second influence coefficient; γ represents the third influence coefficient; and D represents the distance.

7. The pulse flushing system for a water supply network according to claim 1, characterized in that: 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 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.

8. The pulse flushing system for a water supply network according to claim 7, characterized in that: 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.

9. The pulse flushing system for a water supply network according to claim 8, 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.

10. 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 9, 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.

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