A method and system for dredging pipes in water supply and drainage engineering

Through real-time monitoring and AI model-assisted water replenishment strategies, the problems of upstream water resource water retention and downstream drainage water quality meet standards during pipeline siltation in water supply and drainage projects are solved, and efficient and automated pipeline siltation and water quality management are achieved.

CN115889354BActive Publication Date: 2025-05-16WUHAN NEWFIBER OPTOELECTRONICS TECH
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Patent Information

Application Number
CN202211302859.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-24
Publication Date
2025-05-16
Estimated Expiration
2042-10-24

AI Technical Summary

Technical Problem

In water supply and drainage projects, it is difficult for the existing technology to effectively control the water retention amount of upstream water resources and the water quality of downstream drains during pipeline siltation, especially under different water situations and water quality conditions.

Method used

By obtaining the shape of the pipeline geometric section shape, sediment characteristics, real-time water level and flow rate data, combining AI models to establish a fixed AI rate model, monitor the pipeline status in real time and formulate water replenishment strategies to achieve self-siltation and water quality management.

Benefits of technology

The water retention volume upstream of the pipeline and the water quality of the downstream drain are achieved, the efficiency and automation of pipeline dredging are improved, and the degree of adaptation to different water situations and water quality conditions are adapted.

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Abstract

The present invention proposes a pipeline desilting method and system applied to water supply and drainage projects, the method comprising: step 1, obtaining the geometric section shape and sediment characteristics of the pipeline; step 2, obtaining pipeline hydrodynamic data; step 3, obtaining the initial sedimentation velocity and initial flushing velocity of the pipeline; step 4, obtaining the current state of the pipeline by comparing the real-time velocity in the pipeline with the initial sedimentation velocity and initial flushing velocity of the pipeline; step 5, establishing an AI calibration modeling model through a variety of AI models as a self-desilting water intake time period start-up strategy; step 6, formulating a water intake worker replenishment strategy under the current corresponding state of the pipeline. The present invention considers the influence of different flood and dry water situations, different water quality conditions and self-desilting time upstream of the pipeline on the water replenishment amount of the water supply and drainage pipeline, realizes real-time, automatic and accurate desilting of the pipeline, improves the efficiency of pipeline desilting, and at the same time realizes the ability to maintain the water retention upstream of the pipeline and the water quality downstream of the outlet to meet the standards.
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Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy engineering, and in particular to a pipeline desilting method and system applied to water supply and drainage engineering. Background Art

[0002] In water supply and drainage projects, due to the cross-sectional shape of the pipeline and the characteristics of the sediment, it is easy to cause pipeline sedimentation problems. When pipeline sedimentation occurs, due to the closed and narrow space of the pipeline, it is impossible to clean the sediment deposited in the pipeline manually or mechanically. The only way is to increase the pipeline flow and flow rate to self-dredge the sediment in the pipeline. For example, Chinese patents with publication numbers CN109201658A and CN114607035A all use flushing water into the pipeline to flush the sediment in the pipeline, and all use certain equipment to flush water into the pipeline from the upstream of the pipeline.

[0003] The flushing and dredging methods known in the prior art usually involve manually replenishing water at regular intervals by water intake workers upstream of the water supply and drainage pipelines, or determining the replenishment of water by water intake workers upstream of the pipeline based on the flow rate downstream of the pipeline outlet. In order to flush and clean the silt in the pipeline, the upstream water intake worker's replenishment flow rate is usually set relatively large. However, the desilting time must be carried out within a reasonable time. When the water intake upstream of the pipeline is insufficient, if the pipeline is continued to be replenished with water for flushing, this will cause a serious shortage of water resources upstream of the pipeline. If the water quality of the upstream water resources does not meet the standards, replenishing and flushing the pipeline will cause the water quality of the downstream outlet of the pipeline to fail to meet the discharge standards.

[0004] Therefore, at this stage, how to fully consider the impact of different flood and dry conditions, different water quality conditions and self-dredging time upstream of the pipeline on the water replenishment volume of the water supply and drainage pipeline to achieve pipeline dredging, while maintaining the water retention volume upstream of the pipeline and the ability to meet the water quality standards downstream of the outlet is an issue that needs to be solved urgently. Summary of the invention

[0005] In view of this, the present invention proposes a pipeline dredging method and system applied to water supply and drainage projects to solve the problem of how to control the water replenishment volume of the water supply and drainage pipeline according to different upstream flood and dry water situations, different water quality conditions and self-dredging time in the pipeline dredging project, so as to achieve the ability to maintain the water retention volume upstream of the pipeline and the water quality meeting the standards downstream of the outlet.

[0006] Based on the above technical problems, the present invention discloses, on one hand, a pipeline desilting method applied to water supply and drainage engineering, the method comprising:

[0007] Step 1: Obtain the geometric shape of the pipeline section and the characteristics of the sediment;

[0008] Step 2: Obtain water quality data of the water intake and outlet of the pipeline and real-time water level and flow rate data in the pipeline;

[0009] Step 3, obtaining the initial deposition velocity and initial flushing velocity of the pipeline;

[0010] Step 4: By comparing the real-time flow velocity in the pipeline with the initial deposition flow velocity and the initial flushing flow velocity of the pipeline, the current state of the pipeline is obtained, wherein the current state of the pipeline includes a deposition section, a mixing section, and a self-dredging section;

[0011] Step 5: Establish an AI rating modeling model through multiple AI models, use the water quality of the pipeline water intake, and the water level and flow rate data in the pipeline as the transmission to train the AI ​​rating modeling model, and use the trained AI rating modeling model as the self-desilting water intake time period start strategy;

[0012] Step 6: According to the current state of the pipeline obtained, combined with the pipeline flow rate information and the matching of the self-dredging water intake time period, a water intake worker replenishment strategy under the current corresponding state of the pipeline is formulated.

[0013] On the basis of the above technical solution, preferably, the initial deposition flow rate and the initial flushing flow rate of the pipeline are obtained by the following formula:

[0014]

[0015]

[0016] Where V im is the initial flushing velocity, in meters per second; V id is the initial sedimentation velocity, in meters per second; g is the acceleration due to gravity; d is the particle size, in millimeters; s is the specific gravity of the sediment; R is the hydraulic radius, in meters.

[0017] On the basis of the above technical solution, preferably, when the real-time flow velocity in the pipeline is less than the initial sedimentation flow velocity, the current state of the pipeline is the sedimentation section; when the real-time flow velocity in the pipeline is less than the initial flushing flow velocity, the current state of the pipeline is the mixing section; when the real-time flow velocity in the pipeline is greater than the initial flushing flow velocity, the current state of the pipeline is the self-dredging section.

[0018] Further, preferably, when the current state of the pipeline is the sedimentation stage, the water intake worker's water replenishment strategy is to increase the water volume until the real-time flow rate in the pipeline is greater than or equal to the initial sedimentation flow rate;

[0019] When the current state of the pipeline is a mixed section, if it is in the self-desilting and water replenishment period, the water intake worker's water replenishment strategy is to increase the water volume until the real-time flow rate in the pipeline is greater than or equal to the initial flushing flow rate; if it is in the non-self-desilting and water replenishment period, the water intake worker's water replenishment strategy is to maintain the water volume;

[0020] When the current state of the pipeline is the self-desilting section, if it is in the self-desilting and water replenishment time period, the water intake worker's water replenishment strategy is to maintain the water volume; if it is in the non-self-desilting and water replenishment time period, the water intake worker's water replenishment strategy is to reduce the water volume until the real-time flow rate in the pipeline is less than or equal to the initial flushing flow rate.

[0021] On the basis of the above technical solution, preferably, the training AI calibration modeling model specifically includes:

[0022] The water quality of the pipeline water intake, the historical water level and the historical flow rate data in the pipeline are input into the AI ​​calibration model. The output result of the AI ​​calibration model is to simulate whether the outlet water quality meets the environmental standards. The outlet water quality at the end of the pipeline is analyzed to determine whether the monitored outlet water quality meets the environmental standards.

[0023] The simulated outlet water quality is tested to see if it meets environmental standards, and the monitored outlet water quality is tested to see if it meets environmental standards. The weight parameters of the AI ​​calibration modeling model are adjusted until the AI ​​calibration modeling model meets the usable standards.

[0024] Further, preferably, the application of the training AI calibration model in the self-dredging and water extraction time period includes:

[0025] The water quality of the pipeline water intake, the real-time water level and real-time flow rate data in the pipeline are input into the AI ​​calibration model that meets the standards. The output result of the AI ​​calibration model is whether the simulated outlet water quality meets the environmental standards.

[0026] When the simulated outlet water quality meets the environmental standards, the self-dredging is activated to increase the water intake of the water intake workers; when the simulated outlet water quality does not meet the environmental standards, the self-dredging is closed to reduce the water intake of the water intake workers.

[0027] On the other hand, the present invention also discloses a pipeline desilting system applied to water supply and drainage engineering, comprising:

[0028] Data sampling module, used to obtain pipeline geometric section shape data, sediment characteristics data, pipeline water intake and outlet water quality data, and real-time water level and real-time flow rate data in the pipeline;

[0029] The data processing module calculates the initial deposition velocity and initial flushing velocity of the pipeline based on the data obtained by the data sampling module, and determines the current state of the pipeline;

[0030] A model building module, which establishes an AI rating modeling model through multiple AI models, uses the water quality of the pipeline water intake, and the water level and flow rate data in the pipeline as the transmission to train the AI ​​rating modeling model, and uses the trained AI rating modeling model as the starting strategy for the self-dredging water intake time period;

[0031] The model feedback module formulates the water replenishment strategy for the water intake worker under the current corresponding state of the pipeline based on the current state of the pipeline obtained, combined with the pipeline flow rate information and the matching of the self-dredging water intake time period.

[0032] In a third aspect of the present invention, an electronic device is disclosed, comprising: at least one processor, at least one memory, a communication interface and a bus;

[0033] Wherein, the processor, memory, and communication interface communicate with each other via the bus;

[0034] The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to implement the method according to the first aspect of the present invention.

[0035] According to a fourth aspect of the present invention, a computer-readable storage medium is disclosed, wherein the computer-readable storage medium stores computer instructions, and the computer instructions enable a computer to implement the method described in the first aspect of the present invention.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention can monitor the real-time flow rate in the pipeline and compare it with the real-time initial deposition flow rate and initial flushing flow rate conditions in the pipeline to determine whether the current state of the pipeline is a deposition section, a mixing section or a self-desilting section. Based on the current state of the pipeline obtained, combined with these flow rate information and the self-desilting time, it can be used as a basis for the real-time water replenishment strategy of the pipeline water intake worker to achieve the ability to maintain the water retention capacity upstream of the pipeline and the water quality compliance downstream of the outlet;

[0038] 2. The present invention obtains the real-time initial deposition velocity and initial flushing velocity in each pipeline by pipeline self-desilting formula through pipeline section shape, sediment characteristic analysis and real-time water level monitoring, so as to understand the critical state of deposition and flushing of water supply and drainage pipelines;

[0039] 3. The present invention uses the trained AI calibration model as the starting strategy for the self-dredging and water intake period, so that the water quality at the outlet of the pipeline can meet the environmental standards after flushing and desilting.

[0040] 4. The present invention fully considers the influence of different flood and dry conditions, different water quality conditions and self-dredging time on the water replenishment amount of the water supply and drainage pipeline upstream of the pipeline, so as to realize real-time, automatic and accurate dredging of the pipeline, improve the dredging efficiency of the pipeline, and at the same time achieve the ability to maintain the water retention amount upstream of the pipeline and the water quality meeting the standard downstream of the outlet. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a flow chart of the pipeline desilting method for water supply and drainage engineering disclosed in the present invention;

[0043] Figure 2 A water replenishment strategy diagram for water workers;

[0044] Figure 3 Establish a step flow chart for the AI ​​calibration modeling model for the self-dredging water intake time period;

[0045] Figure 4 The flowchart of the AI ​​model application process for the self-desilting and water extraction period; DETAILED DESCRIPTION

[0046] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] like Figure 1 and 2 As shown, an embodiment of the present invention discloses a pipeline desilting method applied to a water supply and drainage project, the method comprising:

[0048] Step 1: Obtain the geometric shape of the pipeline section and the characteristics of the sediment.

[0049] The geometric shape of the pipeline section is obtained through on-site pipeline measurement, design, and completion drawings, including but not limited to the top width, bottom width, height, and circular diameter of the pipeline. Sediment is obtained through on-site water sampling, specific gravity and particle size tests, and sediment characteristics, including sediment specific gravity and sediment particle size.

[0050] Step 2: Obtain water quality data of the water intake and outlet of the pipeline and real-time water level and flow rate data in the pipeline.

[0051] Step 2 is implemented by obtaining the water quality at the water intake of the water worker through water environment monitoring equipment, including but not limited to flow meters, flow meters, water level meters and other equipment; the real-time water level and real-time flow rate in the pipeline; and the water quality at the outlet at the end of the pipeline.

[0052] Step 3: Obtain the initial deposition velocity and initial flushing velocity of the pipeline.

[0053] The implementation of step 3 is to calculate by inputting the pipeline geometric section shape and sediment characteristic data obtained in step 1 and the real-time water level in the pipeline obtained in step 2 into the following formula.

[0054] Specifically, the initial deposition velocity and initial flushing velocity of the pipeline are obtained by the following formula:

[0055]

[0056]

[0057] Where V im is the initial flushing velocity, in meters per second; V id is the initial sedimentation velocity, in meters per second; g is the acceleration due to gravity; d is the particle size, in millimeters; s is the specific gravity of the sediment; R is the hydraulic radius, in meters.

[0058] It should be noted that the hydraulic radius R in the above formula can be obtained through the pipe water level, which is a prior art.

[0059] The present invention obtains the real-time initial deposition flow rate and initial flushing flow rate in each pipeline by the above formula through the combined surface shape of pipeline sections, sediment characteristics analysis and real-time water level monitoring. When the real-time flow rate in the pipeline is less than the initial deposition flow rate, it is a deposition section and sediment will begin to accumulate. When the real-time flow rate in the pipeline is greater than the initial deposition flow rate, the pipeline will be flushed. This can understand the critical states of deposition and flushing of water supply and drainage pipelines, and facilitate the formulation of reasonable water replenishment strategies.

[0060] Step 4: By comparing the real-time flow velocity in the pipeline with the initial deposition flow velocity and the initial flushing flow velocity of the pipeline, the current state of the pipeline is obtained, and the current state of the pipeline includes a deposition section, a mixing section, and a self-dredging section.

[0061] In this embodiment, the sedimentation section is defined as the sand content of the water filled into the pipeline is greater than the sand content of the water in the outlet, and the mud and sand reduced in the water in the pipe section is deposited in the pipeline. The mixing section is defined as the sand content of the water filled into the pipeline is equal to the water in the water intake, and the mud and sand deposition and scouring in the pipe section are in a balanced state. The desilting section is defined as the sand content of the water filled into the pipeline is less than the sand content of the water in the outlet, and the mud and sand added in the water in the pipe section is obtained by scouring in the pipeline.

[0062] When the current state of the pipeline is the sedimentation section, the water intake worker's water replenishment strategy is to increase the water volume until the real-time flow velocity in the pipeline is greater than or equal to the initial sedimentation flow velocity. In this way, the silt in the pipeline can be flushed by increasing the water volume in the pipeline to increase the water-carrying cross-section of the pipeline.

[0063] When the real-time flow velocity in the pipeline is greater than the initial deposition velocity, it is necessary to determine whether the pipeline has been eroded and whether it is in the self-desilting time period.

[0064] When the real-time flow velocity in the pipeline is less than the initial flushing flow velocity, it is a mixed section. If it is in the self-dredging and water replenishment time period, the water intake worker's water replenishment strategy is to increase the water volume until the real-time flow velocity in the pipeline is greater than or equal to the initial flushing flow velocity, thereby flushing the pipeline by increasing the water volume. If it is in the non-self-dredging and water replenishment time period, the water intake worker's water replenishment strategy is to maintain the water volume and no pipeline flushing occurs.

[0065] When the real-time flow rate in the pipeline is greater than the initial flushing flow rate, it is a self-desilting section. If it is in the self-desilting water replenishment period, the water intake worker's water replenishment strategy is to maintain the water volume; use the water volume flowing through the pipeline itself to maintain the water-passing end face of the pipeline, thereby achieving self-desilting. If it is in the non-self-desilting water replenishment period, the water intake worker's water replenishment strategy is to reduce the water volume to avoid causing the exhaustion of water resources upstream of the pipeline until the real-time flow rate in the pipeline is less than or equal to the initial flushing flow rate.

[0066] In this embodiment, the pipeline water intake should be set at a location relative to the clean water source inside the pipeline.

[0067] The present invention fully considers the influence of different flood and dry conditions, different water quality conditions and self-dredging time upstream of the pipeline on the water replenishment amount of the water supply and drainage pipeline, so as to realize real-time, automatic and accurate dredging of the pipeline, improve the dredging efficiency of the pipeline, and at the same time achieve the ability to maintain the water retention amount upstream of the pipeline and the water quality meeting the standard downstream of the outlet.

[0068] Step 5: The self-dredging water intake time period start strategy is established by the AI ​​model. Figure 3 As shown, an AI calibration modeling model is established through multiple AI models, and the water quality of pipeline water intake workers, and the water level and flow rate data in the pipeline are used to train the AI ​​calibration modeling model. The trained AI calibration modeling model is used as the starting strategy for the self-dredging and water intake time period.

[0069] Training the AI ​​calibration model specifically includes: inputting the water quality of the pipeline water intake, the historical water level and the historical flow rate data in the pipeline into the AI ​​calibration model, and the output result of the AI ​​calibration model is whether the simulated outlet water quality meets the environmental standards; analyzing whether the monitored outlet water quality meets the environmental standards through the outlet water quality at the end of the pipeline;

[0070] The simulated outlet water quality meets the environmental standards and the monitored outlet water quality meets the environmental standards. The weight parameters of the AI ​​calibration modeling model are adjusted until the AI ​​calibration modeling model reaches the usable standard. In this embodiment, the AI ​​calibration modeling model reaches the usable standard AUC (area under curve) greater than 0.7, that is, the AI ​​calibration modeling model for the self-dredging and water intake time period is effectively established. Among them, AUC is the area under the receiver operating characteristic curve.

[0071] Step 6: According to the current state of the pipeline obtained, combined with the pipeline flow rate information and the matching of the self-dredging water intake time period, formulate the water intake worker replenishment strategy under the current corresponding state of the pipeline, refer to the attached Figure 4 shown.

[0072] The water quality of the pipeline water intake, the real-time water level and real-time flow rate data in the pipeline are input into the AI ​​calibration model that meets the standards. The output result of the AI ​​calibration model is whether the simulated outlet water quality meets the environmental standards.

[0073] When the simulated outlet water quality meets the environmental standards, the self-dredging is activated to increase the water intake of the water intake workers; when the simulated outlet water quality does not meet the environmental standards, the self-dredging is closed to reduce the water intake of the water intake workers.

[0074] The present invention uses the trained AI calibration model as the starting strategy for the self-dredging and water intake time period, so that the outlet water quality can meet environmental standards after the pipeline is flushed and desilted.

[0075] In the existing manual experience methods, some are completed at a fixed time and quantity, and some are completed by maintaining a constant flow rate. The goal of this method to replace the traditional manual experience work is to maintain the water retention in the upstream of the pipeline and the water quality in the downstream of the outlet. The desilting time must be carried out within a reasonable time. The goal is to maintain the pipeline without increasing the amount of siltation. When the flow rate is too low, the water intake worker will replenish water, but the pipeline will not be flushed; when the water volume is abundant and conducive to diluting pollutants, in order to reduce the amount of siltation in the pipeline, the water intake worker will replenish water, increase the water volume in the pipeline, flush the silt in the pipeline, and increase the water-passing section of the pipeline.

[0076] The present invention can monitor the real-time flow rate in the pipeline and compare it with the real-time initial sedimentation flow rate and initial flushing flow rate conditions in the pipeline to obtain whether the current state of the pipeline is a sedimentation section, a mixing section or a self-desilting section. And according to the current state of the pipeline obtained, combined with these flow rate information and the self-desilting time, it can be used as a basis for the real-time water replenishment strategy of the pipeline water intake worker to achieve the ability to maintain the water retention volume upstream of the pipeline and the water quality downstream of the outlet to meet the standards.

[0077] The present invention also discloses a pipeline desilting system applied to water supply and drainage engineering, comprising:

[0078] Data sampling module, used to obtain pipeline geometric section shape data, sediment characteristics data, pipeline water intake and outlet water quality data, and real-time water level and real-time flow rate data in the pipeline;

[0079] The data processing module calculates the initial deposition velocity and initial flushing velocity of the pipeline based on the data obtained by the data sampling module, and determines the current state of the pipeline;

[0080] A model building module, which establishes an AI rating modeling model through multiple AI models, uses the water quality of the pipeline water intake, and the water level and flow rate data in the pipeline as the transmission to train the AI ​​rating modeling model, and uses the trained AI rating modeling model as the starting strategy for the self-dredging water intake time period;

[0081] The model feedback module formulates the water replenishment strategy for the water intake worker under the current corresponding state of the pipeline based on the current state of the pipeline obtained, combined with the pipeline flow rate information and the matching of the self-dredging water intake time period.

[0082] The present invention also discloses an electronic device, comprising: at least one processor, at least one memory, a communication interface and a bus;

[0083] Wherein, the processor, memory, and communication interface communicate with each other via the bus;

[0084] The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to implement the aforementioned method of the present invention.

[0085] The present invention also discloses a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, wherein the computer instructions enable the computer to implement all or part of the steps of the method described in the embodiment of the present invention. The storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk, and other media that can store program codes.

[0086] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A pipeline desilting method applied to water supply and drainage engineering, characterized in that: The method comprises: Step 1: Obtain the geometric shape of the pipeline section and the characteristics of the sediment; Step 2: Obtain water quality data of the water intake and outlet of the pipeline and real-time water level and flow rate data in the pipeline; Step 3, obtaining the initial deposition velocity and initial flushing velocity of the pipeline; Step 4: By comparing the real-time flow velocity in the pipeline with the initial deposition flow velocity and the initial flushing flow velocity of the pipeline, the current state of the pipeline is obtained, wherein the current state of the pipeline includes a deposition section, a mixing section, and a self-dredging section; Step 5: Establish an AI rating modeling model through multiple AI models, use the water quality of the pipeline water intake, and the water level and flow rate data in the pipeline as the transmission to train the AI ​​rating modeling model, and use the trained AI rating modeling model as the self-desilting water intake time period start strategy; Step 6: According to the current state of the pipeline obtained, combined with the pipeline flow rate information and the matching of the self-dredging water intake time period, formulate a water intake worker replenishment strategy under the current corresponding state of the pipeline; The training of the AI ​​calibration modeling model specifically includes: the output result of the AI ​​calibration modeling model is whether the simulated outlet water quality meets the environmental standard, whether the monitored outlet water quality meets the environmental standard through the outlet water quality at the end of the pipeline, whether the simulated outlet water quality meets the environmental standard and whether the monitored outlet water quality meets the environmental standard are calibrated and verified in a loop training, and the weight parameters of the AI ​​calibration modeling model are adjusted until the AI ​​calibration modeling model reaches the usable standard; The application of the training AI calibration model in the self-dredging water intake period includes: The water quality of the pipeline water intake, the real-time water level and real-time flow rate data in the pipeline are input into the AI ​​calibration model that meets the standards. The output result of the AI ​​calibration model is whether the simulated outlet water quality meets the environmental standards. When the simulated outlet water quality meets the environmental standards, the self-dredging is activated to increase the water intake of the water intake workers; when the simulated outlet water quality does not meet the environmental standards, the self-dredging is closed to reduce the water intake of the water intake workers.

2. The pipeline desilting method for water supply and drainage engineering according to claim 1, characterized in that: The initial deposition velocity and initial flushing velocity of the pipeline are obtained by the following formula: Where V im is the initial flushing velocity, in meters per second; V id is the initial sedimentation velocity, in meters per second; g is the acceleration due to gravity; d is the particle size, in millimeters; s is the specific gravity of the sediment; R is the hydraulic radius, in meters.

3. The pipeline desilting method for water supply and drainage engineering according to claim 1, characterized in that: When the real-time flow velocity in the pipeline is less than the initial deposition flow velocity, the current state of the pipeline is the deposition section; when the real-time flow velocity in the pipeline is less than the initial flushing flow velocity, the current state of the pipeline is the mixing section; when the real-time flow velocity in the pipeline is greater than the initial flushing flow velocity, the current state of the pipeline is the self-dredging section.

4. The pipeline desilting method for water supply and drainage engineering according to claim 3, characterized in that: When the current state of the pipeline is the sedimentation section, the water intake worker's water replenishment strategy is to increase the water volume until the real-time flow rate in the pipeline is greater than or equal to the initial sedimentation flow rate; When the current state of the pipeline is a mixed section, if it is in the self-desilting and water replenishment period, the water intake worker's water replenishment strategy is to increase the water volume until the real-time flow rate in the pipeline is greater than or equal to the initial flushing flow rate; if it is in the non-self-desilting and water replenishment period, the water intake worker's water replenishment strategy is to maintain the water volume; When the current state of the pipeline is the self-desilting section, if it is in the self-desilting and water replenishment time period, the water intake worker's water replenishment strategy is to maintain the water volume; if it is in the non-self-desilting and water replenishment time period, the water intake worker's water replenishment strategy is to reduce the water volume until the real-time flow rate in the pipeline is less than or equal to the initial flushing flow rate.

5. A pipeline desilting system used in water supply and drainage engineering to implement the method according to any one of claims 1 to 4, characterized in that: The system comprises: Data sampling module, used to obtain pipeline geometric section shape data, sediment characteristics data, pipeline water intake and outlet water quality data, and real-time water level and real-time flow rate data in the pipeline; The data processing module calculates the initial deposition velocity and initial flushing velocity of the pipeline based on the data obtained by the data sampling module, and determines the current state of the pipeline; A model building module, which establishes an AI rating modeling model through multiple AI models, uses the water quality of the pipeline water intake, and the water level and flow rate data in the pipeline as the transmission to train the AI ​​rating modeling model, and uses the trained AI rating modeling model as the starting strategy for the self-dredging water intake time period; The model feedback module formulates the water replenishment strategy for the water intake worker under the current corresponding state of the pipeline based on the current state of the pipeline obtained, combined with the pipeline flow rate information and the matching of the self-dredging water intake time period.

6. An electronic device, characterized in that: include: at least one processor, at least one memory, a communication interface, and a bus; Wherein, the processor, memory, and communication interface communicate with each other via the bus; The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to implement the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions enable a computer to implement the method according to any one of claims 1 to 4.

Citation Information

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