Water conservancy pipeline section intelligent adjustment method based on digital twinning

Abstract

The application relates to the technical field of hydraulic engineering, and particularly discloses a water conservancy pipeline section intelligent adjustment method based on digital twinning, which uses a sensor to collect entity operation data in a water conservancy pipeline; the collected data is transmitted to a central processing system through a network, and data modeling is carried out based on a digital twinning model through the entity operation data; a meteorological sensor is used to monitor meteorological data of an initial section of the water conservancy pipeline, and the monitored meteorological data is transmitted to the central processing system; big data analysis is used to predict the meteorological data, and the water conservancy pipeline is subjected to variable-diameter regulation and control according to the predicted meteorological data and real-time pipeline supply data. An automatic process from data collection, transmission and analysis to pipeline section regulation and control is realized, the real-time operation state of the water conservancy pipeline is monitored without the need for manual frequent on-site inspection and manual adjustment of the pipeline section, and the management efficiency is greatly improved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of water conservancy projects, in particular to a water conservancy pipeline section intelligent adjustment method based on digital twinning. BACKGROUND

[0002] The water conservancy pipeline is used for long-distance transportation of water resources from a water resource-rich area to a town, an industrial area or an agricultural irrigation area with a shortage of water resources. The pipeline system is important infrastructure for water transportation, water distribution and water drainage. The flow capacity and operation efficiency of the pipeline system directly depend on the effective area and shape of the pipeline section.

[0003] However, in the prior art, the water conservancy pipeline has different requirements in the water transportation process due to different seasons and weather, and cannot maintain high-efficiency water transportation capacity under different flow rates. SUMMARY

[0004] The application aims to provide a water conservancy pipeline section intelligent adjustment method based on digital twinning, which aims to solve the technical problem that the water conservancy pipeline in the prior art has different requirements in the water transportation process due to different seasons and weather, and cannot maintain high-efficiency water transportation capacity under different flow rates.

[0005] To achieve the above-mentioned purpose, the application adopts a water conservancy pipeline section intelligent adjustment method based on digital twinning, which comprises the following steps:

[0006] The sensor is used to collect entity operation data inside the water conservancy pipeline.

[0007] The collected data is transmitted to the central processing system through the network, and data modeling is performed based on the digital twinning model of the entity operation data.

[0008] The meteorological sensor is used to monitor the meteorological data of the initial section of the water conservancy pipeline, and the monitored meteorological data is transmitted to the central processing system.

[0009] The meteorological data is predicted using big data analysis, and the water conservancy pipeline is controlled in real time according to the predicted meteorological data and the pipeline supply data.

[0010] The sensor is used to detect the water flow velocity data, water flow rate data, water flow temperature data and real-time image data of the initial section, the end section, the middle section of the main pipeline, the initial section, the end section and the middle section of the branch pipeline.

[0011] The water conservancy pipeline flow network model is established, and each sensor point, valve point, baffle point and partition point is labeled in the water conservancy pipeline flow network model. The data in the water conservancy pipeline flow network model is updated in real time, and the state of each point is synchronized with the physical entity.

[0012] The meteorological data of the initial section of the water pipeline is detected, the air temperature, dew point temperature, ground temperature, humidity and wind speed of the initial section are determined, whether rainfall occurs is determined according to the meteorological data, the predicted rainfall of the initial section of the water pipeline is determined, and the actual rainfall is monitored in real time.

[0013] The diameter of the water pipeline is adjusted by the four methods.

[0014] The main pipeline and branch pipeline of the water pipeline are adjusted by the gradual diameter adjustment method, and the initial section of the water pipeline is A and the target section is X when the diameter of the main pipeline or branch pipeline is adjusted, and the required reduced section is A-X, the main pipeline includes B sets of adjustment devices, each set of adjustment devices includes a set of valves, a set of baffles and a set of partitions, and the B sets of adjustment devices are odd, the adjustment device at the center has a diameter adjustment ratio of (A-X) / B, the adjustment devices adjacent to the adjustment device with a diameter adjustment ratio of α have diameter adjustment ratios of α-(n*β) and α+(n*β) respectively, where n is the number of intervals from the adjustment device at the center, and β is the gradual diameter adjustment ratio.

[0015] The weather anomaly pre-diameter adjustment method is based on the gradual diameter adjustment method, and the initial section of the water pipeline is pre-expanded according to the predicted rainfall, the diameter adjustment ratio of the pre-expanded water body section is γ, the diameter adjustment ratio of each set is increased by γ, and the diameter adjustment ratio is adjusted according to the real-time rainfall.

[0016] The pipeline rupture management method identifies and records the rupture point position when the main pipeline or branch pipeline is ruptured, then sets the target section X of the pipeline to 0, then each set of adjustment devices is adjusted according to the gradual diameter adjustment method, and after the diameter adjustment is completed, each set of adjustment devices is closed from the end to the beginning of the pipeline until the adjustment device before the rupture point is closed.

[0017] The pipeline closure management method controls the valve of the adjustment device at the beginning of the branch pipeline to be closed when the branch pipeline is closed, and the closing rate T1=A / 300, where the valve is closed for 300 seconds, and T1 is the rate of adjusting the valve per second, and when the main pipeline is closed, the main pipeline and the branch pipeline are closed at the same time, and the closing rate of the main pipeline is T2=A / 600, where the valve is closed for 600 seconds, and T2 is the rate of adjusting the valve per second.

[0018] The valves in each group of the control devices are used to close the pipeline, and the baffle and the partition plate are used to adjust the area of the water flow cross section in the pipeline by adjusting the angle.

[0019] The application discloses a water conservancy pipeline section intelligent adjustment method based on digital twinning. The method can accurately control the variable-diameter of the water conservancy pipeline according to the actual weather condition and the real-time data provided by the pipeline by collecting the entity operation data in the water conservancy pipeline through a sensor, transmitting the data to a central processor through a network and combining weather data prediction. The water conservancy pipeline model is constructed by combining the digital twinning technology, the water flow distribution under different section sizes is simulated, the pipeline data and weather data are analyzed by combining big data, the pipeline section can be reasonably adjusted, the water resource can be optimally distributed in different regions, times, seasons and climates, the pipeline section adjustment can reduce the water head loss of the water flow in the pipeline, the water flow distribution in the pipeline is more reasonable, the water flow resistance caused by the excessively large or small pipeline section is reduced, the power consumption of the water pump is reduced, the operation data in the water conservancy pipeline and the weather data are collected in real time, comprehensive monitoring information is provided for the central processing system, potential problems of the pipeline can be found in advance through the analysis of the data, the intelligent variable-diameter can relieve the pressure change in the pipeline and reduce the pipeline damage risk caused by the excessively large or small pressure, the intelligent adjustment method based on the digital twinning can keep the pipeline in a reasonable operation state, avoids the pipeline in a long-term extreme working condition, provides a scientific decision basis for the water conservancy pipeline through the digital twinning model and the big data analysis, management personnel can make a maintenance plan for the pipeline and the water resource distribution in advance according to the model prediction and analysis result, realizes the automatic process from data collection, transmission and analysis to pipeline section regulation, the real-time operation state of the water conservancy pipeline is monitored without manual frequent on-site inspection and manual adjustment of the pipeline section, and the management efficiency is greatly improved. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, brief descriptions will be given to the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort.

[0021] Figure 1 is a step flow chart of the water conservancy pipeline section intelligent adjustment method based on digital twinning. DETAILED DESCRIPTION

[0022] Please refer to Figure 1 The application provides a water conservancy pipeline section intelligent adjustment method based on digital twinning, which comprises the following steps:

[0023] S1: collecting entity operation data inside the water pipeline using sensors;

[0024] S2: transmitting the collected data to the central processing system through the network, and modeling the data based on the digital twin model using the entity operation data;

[0025] S3: monitoring the meteorological data of the initial section of the water pipeline using meteorological sensors, and transmitting the monitored meteorological data to the central processing system;

[0026] S4: predicting the meteorological data using big data analysis, and adjusting the diameter of the water pipeline in real time according to the predicted meteorological data and the pipeline supply data.

[0027] In this embodiment, by collecting entity operation data inside the water pipeline using sensors, and combining meteorological data prediction after transmitting the data to the central processor through the network, the diameter of the water pipeline can be accurately controlled according to the actual meteorological conditions and real-time data provided by the pipeline. The water pipeline model is constructed by combining digital twin technology to simulate the water flow distribution under different cross-sectional sizes. The pipeline data and meteorological data are analyzed by combining big data, which can reasonably adjust the pipeline cross-section to realize the optimal allocation of water resources in different regions, times, seasons and climates. The adjustment of the pipeline cross-section can reduce the head loss of water flow in the pipeline, making the flow velocity distribution in the pipeline more reasonable, reducing the water flow resistance caused by the excessive or insufficient diameter of the pipeline, and thus reducing the power consumption of the water pump. Real-time collection of operation data and meteorological data inside the water pipeline provides comprehensive monitoring information for the central processing system. Through data analysis, potential problems in the pipeline can be detected in advance. Intelligent diameter adjustment can alleviate the pressure changes inside the pipeline and reduce the risk of pipeline damage caused by excessive or insufficient pressure. The intelligent adjustment method based on digital twin can keep the pipeline in a reasonable operating state and avoid long-term operation in extreme working conditions.

[0028] Further, the water flow velocity data, water flow volume data, water flow temperature data and real-time image data of the initial section of the main pipeline, the end section of the main pipeline, the middle section of the main pipeline, the initial section of the branch pipeline, the end section of the branch pipeline and the middle section of the branch pipeline in the water pipeline are detected using sensors.

[0029] In this embodiment, by collecting data at multiple key positions of the main pipeline and branch pipeline, the operation of the entire water pipeline system can be comprehensively understood, the water flow velocity data can help analyze the distribution and transmission efficiency of water flow in the pipeline, the flow data can directly reflect the water conveying capacity of the pipeline, the temperature data can monitor the influence of water temperature change on the pipeline material and water flow characteristics, and the real-time image data can directly observe the physical condition inside the pipeline. The multi-dimensional and multi-position data collection method enables the management personnel to comprehensively and accurately master the operation state of the water pipeline system, and in combination with the real-time image data, it can further confirm whether the pipeline is blocked, cracked or caused by other reasons. The accurate basis for timely repair and maintenance is provided, and by analyzing the water flow velocity, flow and temperature data at different positions, a reasonable water resource allocation scheme can be developed. When the water flow velocity in the middle section of the main pipeline is lower than the set threshold, the system can automatically issue an alarm and determine whether the repair program needs to be started according to the real-time image data. The automated and intelligent management method can improve the management efficiency, reduce human errors and ensure the stable operation of the water pipeline system.

[0030] Further, a water pipeline flow network model is established, and each sensor point, valve point, baffle point and partition point is marked in the water pipeline flow network model. The data in the water pipeline flow network model is updated in real time and keeps the state synchronized with the physical entity of each point.

[0031] In this embodiment, by marking the positions of sensors, valves, baffles and partitions in the water pipeline flow network model, the management personnel can intuitively understand the layout of the entire water pipeline system and the positions of key components, which helps to quickly identify the key parts of the system, facilitates management and maintenance, and the data in the model is updated in real time and keeps the state synchronized with the physical entity, so that the management personnel can monitor the operation state of the water pipeline system in real time. When the data of a certain sensor point is abnormal or the opening and closing state of a certain valve does not match the expectation, the management personnel can quickly identify the fault point through the water pipeline flow network model. The real-time updated model provides strong support for emergency response. The establishment of the water pipeline flow network model and the real-time updating of the data can significantly improve the management efficiency, fault diagnosis capability, operation optimization level, maintenance reliability, decision-making scientificity and overall performance of the water pipeline system, and provide strong support for the efficient, stable and sustainable operation of the water pipeline system.

[0032] Further, the meteorological data of the initial section of the water pipeline is detected, and the air temperature, dew point temperature, ground temperature, humidity and wind speed of the initial section are determined. According to the above meteorological data, it is determined whether it is raining and the predicted rainfall of the initial section of the water pipeline, and the actual rainfall is monitored in real time.

[0033] In this embodiment, by detecting the weather data of air temperature, dew point temperature and humidity, it can be more accurately judged whether rainfall phenomenon will occur. Based on the analysis of weather data, the rainfall of the initial section of the water pipeline can be predicted. Through the humidity and wind speed data, combined with historical weather data and weather model, the intensity and duration of rainfall can be predicted, so as to estimate the rainfall in advance. Accurate rainfall prediction and real-time rainfall monitoring can provide an important basis for the operation and management of the water pipeline system. When the rainfall is predicted to be large, the operation parameters of the pipeline can be adjusted in advance, such as increasing the pipeline section or adjusting the valve opening, to cope with the possible increase in water flow, which helps to prevent pipeline overflow and flood disasters. Real-time monitoring of actual rainfall can be compared with predicted data to dynamically adjust the operation strategy of the water pipeline. If there is a large deviation between the actual rainfall and the predicted value, the control measures of the pipeline can be adjusted in time to ensure the safe and efficient operation of the water pipeline system. Through accurate rainfall prediction and real-time monitoring, the water pipeline system can more effectively cope with various weather conditions, improve the overall performance of the system, and reduce energy consumption. The utilization efficiency of water resources can be improved, and the rainfall prediction accuracy, operation management efficiency, flood control and water resource management ability, system reliability and safety, decision-making scientificity and management level of the water pipeline system can be significantly improved, providing strong support for the efficient, stable and sustainable operation of the water pipeline system.

[0034] Further, the water pipeline variable-diameter regulation includes a step-by-step variable-diameter management method, a weather anomaly pre-variable-diameter management method, a pipeline rupture management method, and a pipeline shutdown management method. The water pipeline variable-diameter is regulated by the above four methods.

[0035] In this embodiment, by gradually adjusting the pipeline section, water flow impact and pressure fluctuations caused by sudden changes in pipeline section can be avoided. This smooth transition helps to protect the pipeline system and reduce pipeline damage caused by water flow impact. When weather anomalies are predicted, the pipeline section can be adjusted in advance to effectively cope with possible changes in flow. The pipeline section is increased in advance to cope with the possible increase in water flow. When pipeline rupture is detected, the pipeline section is immediately adjusted to reduce water flow loss and prevent further pipeline damage. When the pipeline needs to be closed, the pipeline section can be gradually adjusted to ensure smooth transition of water flow in the pipeline and avoid water hammer effect caused by sudden valve closure, protecting the pipeline system. By using the step-by-step variable-diameter management method, the weather anomaly pre-variable-diameter management method, the pipeline rupture management method, and the pipeline shutdown management method, the adaptability, flexibility, safety, reliability, water resource management efficiency, and intelligent level of the water pipeline system can be significantly improved, providing strong support for the efficient, stable and sustainable operation of the water pipeline system.

[0036] Further, the step-by-step diameter management method regulates the main pipeline and branch pipeline of the water pipeline. When the main pipeline or branch pipeline is being reduced in diameter, the initial section of the water pipeline has an inlet cross-section A and a target cross-section X. The required reduction in cross-section is A-X. The main pipeline includes B sets of regulating devices. Each set of regulating devices includes a set of valves, a set of baffles, and a set of partitions. The number of sets of regulating devices is odd. The regulating device at the center position has a diameter reduction ratio α of (A-X) / B. The regulating devices adjacent to the regulating device with a diameter reduction ratio α have diameter reduction ratios of α-(n×β) and α+(n×β), respectively, where n is the number of intervals from the regulating device at the center position, and β is the step-by-step diameter adjustment ratio.

[0037] In this embodiment, the required reduction in cross-section is A-X, which is evenly distributed among the B sets of regulating devices. The diameter reduction ratio of each set of regulating devices is α=(A-X) / B. The regulating device at the center position has a diameter reduction ratio α=(A-X) / B. The regulating devices adjacent to the regulating device with a diameter reduction ratio α have diameter reduction ratios of α-(n×β) and α+(n×β), respectively, where n is the number of intervals from the regulating device at the center position. This ensures that the adjacent regulating devices work together to ensure a smooth and uniform diameter reduction process for the entire pipeline system, improving the overall reliability of the system. When the demand for water increases, the pipeline cross-section is gradually increased to ensure sufficient water supply. When the demand for water decreases, the pipeline cross-section is gradually reduced to reduce water waste. The step-by-step diameter management method can achieve efficient management of the water pipeline system through precise control strategies. Through an automated and intelligent control system, management personnel can monitor and adjust the pipeline cross-section in real time, improving management efficiency and reducing human error. This ensures that the water pipeline system can maintain optimal operating conditions under different operating conditions, improving the overall performance of the system. The step-by-step diameter management method optimizes water resource management and reduces energy waste, supporting the sustainable development of the system. Dynamic adjustment of the pipeline cross-section ensures efficient use of water resources and reduces environmental impact. The step-by-step diameter management method can significantly improve the precision control capability, flow optimization level, system reliability, resource allocation efficiency, intelligent level, and overall performance of the water pipeline system, providing strong support for efficient, stable, and sustainable operation of the water pipeline system. This precise control method ensures smooth changes in flow during the diameter reduction process and avoids water flow impact and pressure fluctuations caused by rapid changes in cross-section.

[0038] Further, the weather anomaly pre-diameter management method is based on the step-by-step diameter management method. The initial section of the water pipeline is pre-expanded based on the predicted rainfall. The diameter reduction ratio of the pre-expanded water body is γ. The diameter reduction ratio of each set is increased by γ, and the real-time rainfall is adjusted.

[0039] In this embodiment, by predicting rainfall, the initial section of the water pipeline is pre-expanded in advance, which can effectively deal with the possible increase in flow. The pre-expanded water body cross-section variable ratio is γ, which means that the variable ratio of each group of regulating devices increases by γ, so as to prepare a larger pipeline cross-section in advance to deal with the possible increase in water flow. According to the real-time rainfall, the pipeline system can always maintain the best operating state during the rainfall process. If the actual rainfall deviates from the predicted value, the system can adjust the pipeline cross-section in time to avoid pipeline overflow due to excessive flow or resource waste due to insufficient flow. Pre-expanding the pipeline cross-section can significantly reduce the risk of flooding caused by increased rainfall. By adjusting the pipeline cross-section in advance, the pipeline system can have enough capacity to deal with sudden large flow, thereby protecting the surrounding area from flood disasters. By dynamically regulating the pipeline cross-section, the impact of flow mutation on the pipeline system can be reduced, and the service life of the pipeline can be prolonged. Through pre-expansion and dynamic regulation, the water pipeline system can maintain the best operating state under different working conditions, improve the overall performance of the system, and significantly improve the ability of the water pipeline system to deal with weather anomalies, enhance the safety and reliability of the system, optimize water resource management and allocation, and improve the intelligent level of the system. Provide strong support for efficient, stable and sustainable operation of water pipeline system.

[0040] Further, the pipeline rupture management method identifies and records the rupture point position when the main pipeline or branch pipeline is ruptured, then sets the target cross-section X of the pipeline to 0, and then each group of regulating devices adjusts the diameter according to the step-by-step variable diameter management method. After variable diameter adjustment is completed, each group of regulating devices is closed one by one from the end of the pipeline to the beginning until the regulating device before the rupture point is closed.

[0041] In this embodiment, through the sensor and monitoring system, the specific location of the rupture point can be quickly identified and recorded. After identifying the rupture point, the pipeline rupture management program is immediately started, the target section X is set to 0, and the pipeline section is gradually adjusted. This rapid response can effectively reduce the loss of water flow and prevent further pipeline damage. Each group of regulating devices is closed from the end of the pipeline to the beginning of the pipeline until the regulating device before the rupture point is closed. The gradual closing method can effectively reduce the loss of water flow and ensure that the water resources in the system are maximally preserved during the treatment of the rupture problem. It can protect the integrity of the entire pipeline system and prevent the system from collapsing due to local rupture. Through the gradual diameter adjustment management method, it can ensure that the system can smoothly transition to a closed state when the pipeline ruptures, reducing the water hammer effect caused by sudden valve closure and protecting the pipeline system. The pipeline rupture management method can significantly improve the emergency handling capability of the water pipeline system in the event of a rupture, reduce water loss and resource waste, protect the pipeline system and the surrounding environment, improve the reliability and safety of the system, optimize maintenance and maintenance efficiency, and improve the intelligent level of the system, providing strong support for efficient, stable and sustainable operation of the water pipeline system.

[0042] Further, when closing the branch pipeline, the valve of the regulating device at the beginning of the branch pipeline is closed at a closing rate T1 = initial water inlet section A of the branch pipeline / 300. In the formula, the valve is closed for 300 seconds, and T1 is the rate of adjusting the valve per second. When closing the main pipeline, the main pipeline and the branch pipeline are closed simultaneously, and the closing rate of the main pipeline is T2 = initial water inlet section A of the main pipeline / 600. In the formula, the valve is closed for 600 seconds, and T2 is the rate of adjusting the valve per second.

[0043] In this embodiment, the closing rates of the main pipeline and the branch pipeline are set to T1 and T2 respectively. The valve of the branch pipeline is gradually closed within 300 seconds at the preset T1 closing rate, and the valve of the main pipeline is gradually closed within 600 seconds at the preset T2 closing rate. The gradual closing method can effectively reduce the water flow impact and pressure fluctuation caused by sudden valve closure, and preferentially closing the branch pipeline before closing the main pipeline can avoid pipeline rupture, valve damage and other system failures caused by water hammer effect. By gradually closing the valve, these risks can be significantly reduced. By precisely controlling the closing rate, system failures caused by pressure fluctuations during the closing process can be reduced. By reducing water flow impact and pressure fluctuation, the service life of the pipeline and valve can be extended. This protective measure can reduce maintenance costs and downtime, and improve the overall reliability of the system.

[0044] Further, the valves in each group of the control devices are used to close the pipeline, and the baffles and the partitions are used to adjust the water flow cross-sectional area in the pipeline by adjusting the angle.

[0045] In this embodiment, the valves can be completely closed to close the pipeline, ensuring that the water flow can be completely cut off when needed. The valves can be partially opened or closed as needed to achieve flexible control of the water flow. The baffles and the partitions can be finely adjusted by adjusting the angle to achieve fine adjustment of the water flow cross-sectional area in the pipeline. This adjustment method can accurately control the flow rate and speed of the water flow, ensuring that the pipeline system can maintain the best operating state under different working conditions. The angle of the baffles and the partitions can be dynamically adjusted according to real-time monitoring data to achieve real-time control of the water flow. The dynamic adjustment capability can effectively respond to changes in flow rate, improving the response speed and adaptability of the system.

[0046] The above only discloses one preferred embodiment of the present application, and of course cannot limit the scope of the present application. Those skilled in the art can understand that the entire or partial processes of the above-mentioned embodiments can be implemented, and equivalent changes made in accordance with the claims of the present application still fall within the scope of the present application.

Claims

1. A method for intelligent adjustment of water conservancy pipeline cross-section based on digital twin, characterized in that, Includes the following steps: Sensors are used to collect physical operation data inside water conservancy pipelines; The collected data is transmitted to the central processing system via the network, and data modeling is performed based on the digital twin model using the entity's operational data. Meteorological sensors are used to monitor meteorological data at the initial section of the water conservancy pipeline, and the monitored meteorological data is transmitted to the central processing system. Big data analysis is used to predict meteorological data, and the diameter of water conservancy pipelines is regulated based on the predicted meteorological data and real-time pipeline supply data. The diameter regulation of water conservancy pipelines includes the gradual diameter change management method, the pre-diameter change management method for abnormal weather, the pipeline rupture management method, and the pipeline closure management method. The diameter change of water conservancy pipelines is regulated through the above four methods. The gradual diameter change management method regulates the main and branch pipelines of the water conservancy pipeline. When the main or branch pipeline changes diameter, the initial inlet section of the water conservancy pipeline is A, the target section is X, and the required reduction section is AX. The main pipeline contains B sets of control devices. Each set of control devices includes a set of valves, a set of baffles, and a set of partitions. The number of B sets of control devices is odd. The diameter change ratio α of the control device at the center position is (AX) / B. The diameter change ratios of the control devices adjacent to the control device with a diameter change ratio of α are α-(n×β) and α+(n×β), respectively, where n is the number of intervals between the control devices at the center position, and β is the gradual diameter change adjustment ratio. The aforementioned weather anomaly pre-diameter change management method is based on the step-by-step diameter change management method. It pre-expands the initial section of the water conservancy pipeline in advance by predicting rainfall. The diameter change ratio of the pre-expanded water body section is γ. Then, the diameter change ratio of each group increases by γ and is adjusted according to the real-time rainfall. When a rupture occurs in the main pipeline or branch pipeline, the pipeline rupture management method identifies and records the rupture point location. Then, the target cross-section X of the pipeline is set to 0. Subsequently, each group of control devices adjusts the diameter according to the step-by-step diameter change management method. After the diameter change is completed, each group of control devices is closed one by one from the end to the beginning of the pipeline until the control device before the rupture point is closed. When closing a branch pipe, the pipeline closure management method controls the valve of the regulating device at the beginning of the branch pipe to close. The closing rate T1 = initial water inlet section A of the branch pipe / 300, where the valve is closed after 300 seconds and T1 is the rate at which the valve is adjusted per second. When closing the main pipe, the closure of the main pipe and the branch pipe are carried out simultaneously. The closing rate of the main pipe T2 = initial water inlet section A of the main pipe / 600, where the valve is closed after 600 seconds and T2 is the rate at which the valve is adjusted per second.

2. The intelligent adjustment method for water conservancy pipeline cross-section based on digital twin as described in claim 1, wherein the method uses sensors to collect physical operation data inside the water conservancy pipeline, characterized in that... Sensors are used to detect water flow velocity, flow rate, water temperature, and real-time image data in the initial section, final section, middle section, initial section, final section, and middle section of the main pipeline, as well as the branch pipeline.

3. The intelligent adjustment method for water conservancy pipeline cross-section based on digital twin as described in claim 1, wherein the collected data is transmitted to a central processing system via a network, and data modeling is performed based on the digital twin model using physical operation data, characterized in that... A network model of water pipeline flow is established, and the locations of each sensor point, valve point, baffle point, and partition point are marked in the network model. The data in the network model is updated in real time and kept synchronized with the physical entities of each point.

4. The intelligent adjustment method for water conservancy pipeline cross-section based on digital twin as described in claim 1, wherein meteorological sensors are used to monitor meteorological data of the initial section of the water conservancy pipeline, and the monitored meteorological data is transmitted to a central processing system, characterized in that... Meteorological data of the initial section of the water conservancy pipeline is collected to determine the air temperature, dew point temperature, ground temperature, humidity and wind speed in the initial section area. Based on the above meteorological data, it is determined whether rainfall will occur, the predicted rainfall in the initial section of the water conservancy pipeline is determined, and the actual rainfall is monitored in real time.

5. The intelligent adjustment method for water conservancy pipeline cross-section based on digital twin as described in claim 1, characterized in that, The valves in each set of control devices are used to close the pipeline, and the baffles and partitions adjust the angle to control the area of ​​the water flow cross section in the pipeline.

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