Water supply engineering water hammer protection and intelligent regulation system based on digital twinning

Abstract

The application provides a water supply engineering water hammer protection and intelligent regulation system based on digital twinning, comprising: a monitoring management system, monitoring a plurality of state information of the water supply engineering; a digital twinning system, establishing a related hydraulics model of the water supply engineering, an analysis and prediction algorithm model according to the hydraulic operation state, the equipment operation state and the equipment state of the water supply engineering; a data center, storing a plurality of information of the water supply engineering, a model, a mode, a case and the like of the water supply engineering; a distributed water hammer protection equipment, realizing protection of conventional water hammer; a transient process intelligent scheduling system, controlling the performance of the water system component, realizing water quantity and pressure targets and process safety. The application takes online monitoring as the basis, network cooperation and sharing as the link, digital twinning and intelligent analysis as the core, and the running water quantity and pressure of the water supply network as the target, guarantees the process safety of daily operation and scheduling, and realizes the water supply engineering water hammer protection and intelligent regulation system of the whole life cycle monitoring and early warning of the water supply system.

Description

Technical Field

[0001] This invention relates to a water hammer protection and intelligent control system for water supply projects based on digital twins, and particularly to a water hammer protection and intelligent control system for water supply projects based on digital twins. Background Technology

[0002] my country faces a shortage of water resources, which are unevenly distributed in time and space. To meet the needs of social and economic development, many water diversion projects have been constructed. Due to its significant advantages in water utilization, water quality assurance, and land occupation, pipeline water transfer is being adopted by an increasing number of water diversion projects.

[0003] Water hammer is the most significant safety issue in water diversion projects, often referred to as a "traffic accident" in pipelines. Water hammer monitoring and protection are the core foundation for intelligent control of water diversion projects. Water diversion projects are typically complex systems, currently facing issues such as a lack of interaction between water hammer calculations, process control valves, and information and automation systems. This results in a lack of system integrity, interface compatibility, and capability effectiveness. During commissioning and operation, water diversion projects can only undergo static pressure tests, and cannot perform safety verification under extreme conditions or real-time intelligent scheduling.

[0004] Municipal water supply projects are the lifeblood of a city. Underground pipelines, ensuring water supply for residents, businesses, public services, and fire fighting, are a crucial component of urban infrastructure. Problems exist in water supply networks: First, the water supply network operates under abnormal conditions. To adapt to the needs of urban water supply development, most urban water supply networks have experienced varying degrees of problems: network system upgrades lag behind the expansion of the water supply area, and changes in water sources have caused the original network system to become unsuitable. Second, water leakage is a serious problem. Pipes are severely aging, frequently experiencing leaks, pipe ruptures, and bursts, which not only affect the production and lives of local businesses and residents but also cause significant profit losses for water supply companies.

[0005] Overview of water hammer protection: Water hammer is the most significant safety issue in complex water supply systems, and water hammer safety protection is a fundamental requirement for intelligent control.

[0006] In 2007, the US AWWA C512 air valve standard added requirements for water hammer protection of air valves. In 2010, the IWA (International Water Association) Leakage Control Expert Group's "Water Hammer Protection Initiative Report" stated that water hammer is a major cause of aging and damage to water supply networks, ultimately leading to pipe bursts. In 2013, the Delta Institute in the Netherlands published "Guidelines for Water Hammer Analysis in Water Transmission and Distribution Systems." In 2018, the 13th International Water Hammer Conference, with its "Overall Strategy for Water Hammer Protection" and "Making the World Safer and Better – Calling for More Data, Verification Cases, and Guidelines for Water Hammer Simulation," expressed a desire for large-scale laboratories to meet the requirements of water hammer software testing. In 2020, Southern Valve built a world-leading full-scale hydraulic laboratory. Southern Valve, Hunan University, and the China Institute of Water Resources and Hydropower Research conducted extreme-condition water hammer model verification tests on six high-lift pumping stations in Guizhou and published a paper. In 2021, the national standard "General Technical Requirements for Water Hammer Monitoring Systems in Water Supply Networks," edited by Zhuzhou Zhuhua Smart Water Technology Co., Ltd., was launched; the "Water Hammer Protection Technology Development Report" was published. In 2022, the themes of the 14th International Water Hammer Conference were: Simplified Control Systems; Model-Driven and Data-Driven Approaches; How to Meet Conventional Water Hammer Protection Requirements with Appropriate Products; and the Application of Artificial Intelligence and Machine Learning in Smart Control Systems.

[0007] In traditional water supply engineering operation and maintenance models, when pipelines leak or burst due to water hammer, the problem is solved through leak detection, pipeline repair, or replacement. Because operators lack understanding of the water hammer mechanism, fail to trace the source of water hammer incidents, and lack preventative measures, leaks and bursts repeatedly occur. Summary of the Invention

[0008] This invention provides a water hammer protection and intelligent control system for water supply projects based on digital twins, in order to reduce the negative impact of water hammer on water supply projects.

[0009] This invention provides a water hammer protection and intelligent control system for water supply projects based on digital twins, the system comprising:

[0010] The monitoring and management system is used to monitor the operational status information, equipment operational status information, and equipment status information of the water supply project.

[0011] A digital twin system, which is used to establish relevant hydraulic models and analysis and prediction algorithm models for water supply projects based on the operating status information, equipment operating status information and equipment status information of the water supply project;

[0012] The data center is used to store the operation status information of the water supply project, the operation status information of the equipment and the status information of the equipment, the relevant hydraulic models of the water supply project, and the analysis and prediction algorithm models.

[0013] A water hammer protection and intelligent control system for water supply projects based on digital twins, wherein the distributed water hammer protection system is equipped with several water hammer protection devices in the water supply project.

[0014] A transient process intelligent scheduling system is used to schedule the operation of one or more hydraulic components to achieve the target water volume and pressure while ensuring water hammer safety.

[0015] Furthermore, the monitoring and management system includes a sensing layer, which includes one or more of hydraulic operation parameter acquisition devices and equipment operation parameter acquisition devices. The hydraulic operation parameter acquisition devices are used to acquire hydraulic-related information during the water supply process, and the equipment operation parameter acquisition devices are used to acquire the status of water supply engineering equipment.

[0016] Furthermore, the digital twin system includes a pipeline digital twin module, which is used to construct a water hammer-induced pipeline aging and failure model based on at least one of pipeline vibration, deformation, displacement, and sound waves, and to analyze and predict the impact of different levels of load on pipeline aging.

[0017] Furthermore, the digital twin system also includes an equipment digital twin module, which is used to construct a flow field analysis model and an equipment performance degradation model for pumps, pipes, and valves based on the operating conditions of the water supply engineering equipment, thereby analyzing and predicting the health status of the water supply engineering equipment.

[0018] Furthermore, the digital twin system also includes a hydraulic digital twin module, which is used to simulate the hydraulic changes of a water supply project during operation.

[0019] Furthermore, the data center includes:

[0020] A model library, which is used to store one or more of the following: hydraulic modeling for engineering design, model and algorithm selection, modeling methods, and parameter settings;

[0021] A strategy library, which is used to store transient process control strategies under different operating conditions;

[0022] A case library, which provides solutions for different scheduling scenarios.

[0023] Furthermore, the transient process intelligent scheduling system includes a scheduling process:

[0024] S101. Obtain scheduling demand data, such as the demand for adjustment in daily water volume, abnormal adjustment or emergency response, etc. Based on the steady-state hydraulic model of the water supply project, obtain the initial working parameters of the water supply project through water demand data, and verify whether the water demand scheduling has been achieved.

[0025] S102. Based on the initial operating parameters, obtain the control objects and control objectives of the water supply project scheduling;

[0026] S103 uses intelligent algorithms and a control strategy library to formulate control strategies that include the timing, time point, and duration of the controlled object.

[0027] S104 applies a transient hydraulic model of the water supply project to form a control strategy and performs a safety check. If the safety requirements are met, the control strategy is used as the execution target and an execution command is generated.

[0028] S105 executes control commands and simultaneously monitors the hydraulic operation status of the pipeline network in real time, including steady-state pressure, flow rate, equipment operation status, and at least one of transient water hammer or air monitoring data. If no abnormality occurs, the scheduling target is achieved and the water supply process is safe and meets the requirements.

[0029] If an exception occurs, suspend the program and determine whether the scheduling goal has been achieved.

[0030] If no abnormality occurs in S106, the scheduling objective is achieved and the safety requirements are met. The monitoring results are compared and analyzed with the model analysis data. If the matching degree exceeds 70%, the information of this scheduling process can be entered into the control strategy library, and the accuracy of the steady-state model and transient model can be checked in combination with real-time monitoring data.

[0031] If an anomaly occurs, determine whether the scheduling objective has been achieved;

[0032] If the scheduling objective is not achieved, a new round of scheduling will continue.

[0033] If the scheduling objective is achieved, the cause of the anomaly is analyzed, and the original scheduling scheme and model are updated and optimized based on the cause of the anomaly.

[0034] Furthermore, the transient intelligent scheduling system also includes an emergency intelligent scheduling process:

[0035] S201. Based on the relevant hydraulic models and analysis and prediction algorithm models of the water supply project, conduct a safety analysis to determine the safe operating threshold of the water supply project equipment;

[0036] S202. If the actual working condition of the water supply equipment exceeds the safe working threshold, extract the corresponding transient process control strategy from the strategy library;

[0037] S203. Control the water supply equipment according to the corresponding transient process control strategy.

[0038] Furthermore, the hydraulic digital twin module also includes model accuracy assurance measures, which verify the content through boundary conditions, specifically including one or more of the following: dynamic characteristics of check valves, performance characteristics of control valves, steady-state and dynamic characteristics of air valves, and full characteristics of water pumps.

[0039] Furthermore, the distributed water hammer protection system also includes a verification module, which includes at least one of the following: a hydraulic digital twin module, an accuracy assurance measures module, a full-scale laboratory device, and actual engineering verification.

[0040] Compared with existing technologies, this invention employs a monitoring and management system, a digital twin system, a data center, and a transient process intelligent scheduling system. Based on online monitoring and linked by network collaboration and sharing, it focuses on digital twins and intelligent analysis, targeting the water volume and pressure of the water supply network. This ensures the safety of daily operation and scheduling, achieving multi-dimensional monitoring, collaborative networking, predictive early warning, remote control, human-machine visualization, online evaluation, and a safe and reliable digital twin water supply engineering water hammer protection and intelligent control system throughout the entire lifecycle of pumps, pipes, valves, and equipment in the water supply network. This achieves the effect of a comprehensive inspection of water diversion pipelines and urban water supply pipelines, reducing the risk of pipeline rupture due to water hammer effects. This reduces public events and emergency management issues such as ground subsidence and flooding of underground facilities, providing a system solution for water diversion projects and ensuring the expected goals and investment benefits of large-scale national water diversion projects. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating the workflow of a distributed water hammer protection system according to an embodiment of the present invention.

[0042] Figure 2 A flowchart for establishing the data center module in an embodiment of the present invention;

[0043] Figure 3 This is a functional diagram of the data center module according to an embodiment of the present invention;

[0044] Figure 4 This is a flowchart illustrating the steady-state monitoring and scheduling process and the emergency intelligent scheduling process according to an embodiment of the present invention.

[0045] Figure 5 A flowchart is provided for establishing the verification module in this embodiment of the invention. Detailed Implementation

[0046] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0047] This invention discloses a water hammer protection and intelligent control system for water supply projects based on digital twins. The distributed water hammer protection system includes:

[0048] The monitoring and management system is used to monitor the operational status information, equipment operational status information, and equipment status information of the water supply project.

[0049] Among them, the monitoring and management system has online monitoring and health management, and has distributed acquisition devices that can collect relevant information on various equipment and hydraulics in water supply projects;

[0050] A digital twin system, which is used to establish relevant hydraulic models and analysis and prediction algorithm models for water supply projects based on the operating status information, equipment operating status information and equipment status information of the water supply project;

[0051] Among them, the digital twin system can establish multiple different simulation models based on the operating status of the water supply project, the operating status of the equipment, and the status of the equipment, so as to realize the multi-dimensional simulation of the water supply project.

[0052] The data center is used to store the operation status information of the water supply project, the operation status information of the equipment and the status information of the equipment, the relevant hydraulic models of the water supply project, and the analysis and prediction algorithm models.

[0053] The data center can store the operational status of water supply projects, equipment operation status, and analytical models established by the digital twin system. For example, real-time monitoring data such as hydraulic operation status and equipment operation status, as well as result data with guiding significance such as control strategies, patterns, and cases formed by big data models and algorithm mining, are all stored in the data center.

[0054] A distributed water hammer protection system, wherein the distributed water hammer protection system is equipped with several adaptive water hammer protection devices in the water supply project;

[0055] Among them, the distributed water hammer protection system can protect each water hammer protection device from conventional water hammer. If the corresponding pipeline is detected to have a risk of water hammer formation, the water hammer protection device near the pipeline can be used for regulation. Through adaptive control, the target of water volume and water pressure can be ensured, thereby ensuring the safety of water supply process control.

[0056] A transient process intelligent scheduling system is used to schedule the performance of the hydraulic components of the system, achieve the target of water volume and pressure, and ensure water hammer safety during the process.

[0057] Among them, the transient process intelligent scheduling system can achieve safe water supply process control based on the scheduling objectives of the steady-state hydraulic model and the transient hydraulic model.

[0058] Optionally, the equipment status includes the characteristics of the water supply engineering device, which includes at least one or more of the following: dynamic characteristics of check valves, performance characteristics of control valves, steady-state and dynamic characteristics of air valves, and full characteristics of water pumps.

[0059] Among them, the transient process intelligent scheduling system can control and schedule water supply projects, thereby achieving control over the water supply projects.

[0060] This invention employs a monitoring and management system, a digital twin system, a data center, and a transient process intelligent scheduling system. Based on online monitoring, linked by network collaboration and sharing, and centered on digital twins and intelligent analysis, it aims to achieve intelligent scheduling and automatic control. This results in a safe and reliable digital twin water supply engineering water hammer protection and intelligent control system that enables multi-dimensional monitoring throughout the entire lifecycle, collaborative networking, predictive early warning, remote controllability, human-machine visualization, online evaluation, and overall safety. This achieves the effect of a comprehensive urban pipeline inspection, reducing the risk of pipeline rupture due to water hammer, thereby mitigating public events and emergency management issues such as ground subsidence and flooding of underground facilities. It provides a system solution for water diversion projects, ensuring the expected goals and investment benefits of large-scale national water diversion projects.

[0061] Optionally, the monitoring and management system includes a sensing layer, which includes one or more of hydraulic operation parameter acquisition devices and equipment operation parameter acquisition devices. The hydraulic operation parameter acquisition devices are used to acquire hydraulic-related information during the water supply process, and the equipment operation parameter acquisition devices are used to acquire the status of water supply engineering equipment.

[0062] During the operation of the water transmission and distribution system, the monitoring and management system can collect equipment operation parameters and pipeline hydraulic parameters through the hydraulic operation parameter acquisition equipment and equipment operation parameter acquisition equipment in the sensing layer, including the flow rate and pressure of the water in the pipeline, the positioning of the equipment operation structure, vibration, noise, etc.

[0063] Based on the completed engineering pipeline system and normal operating conditions, the monitoring and management system addresses water hammer caused by various factors, including conventional water hammer from pumping stations and pipelines, water hammer caused by changes in water level and equipment performance at the pumping station upstream, changes in water volume downstream, and airflow within the pipeline. The system also includes distributed water hammer protection components to eliminate water hammer. These components include adaptive water hammer protection devices such as check valves, pressure relief valves, and water hammer air valves. A well-planned water hammer protection layout allows for transient pressure control, thereby reducing some of the water hammer generated by transient control.

[0064] The monitoring and management system of this invention collects equipment operating parameters and pipeline hydraulic parameters, enabling the digital twin system to analyze the water volume targets and water hammer safety risks of the pipeline system based on mechanism models and mathematical algorithms, conduct system health assessments and trend predictions, and provide operation and scheduling suggestions for the water transmission and distribution pipeline system.

[0065] Optional, such as Figure 1 As shown, the digital twin system includes a pipeline digital twin module, which is used to construct a water hammer-induced pipeline aging and failure model based on at least one of pipeline vibration, deformation, displacement, and sound waves, and to analyze and predict the impact of different levels of load on pipeline aging.

[0066] Among them, pipelines are the largest part of the investment in water supply projects. The material of the pipeline determines the speed and life of natural aging. In daily operation, they are also affected by internal and external loads, which accelerates the aging of the pipeline. If water hammer occurs continuously in the pipeline, leakage and pipe bursting are very likely to occur, which will have a huge impact on the safety and efficiency of the project operation.

[0067] The pipeline digital twin module of this invention monitors pipeline vibration, deformation, displacement, sound waves, and other parameters based on pipeline operation patterns, pressure, and water hammer monitoring. It constructs a water hammer-induced pipeline aging and failure model and conducts experimental verification. Through big data methods, it analyzes and predicts the impact of various load levels on pipeline aging. It analyzes, predicts, and alarms pipeline aging, PCCP pipeline wire breakage, seal failure, and leakage location, proposes pipeline life and leakage trends, and identifies pipe burst risks, enabling early intervention and reducing pipeline leakage rate and new pipe burst rate.

[0068] In particular, such as Figure 1 As shown, the digital twin system also includes an equipment digital twin module, which is used to construct a flow field analysis model and an equipment performance degradation model for pumps, pipes and valves based on the operating conditions of the water supply engineering equipment, and to analyze and predict the health status of the water supply engineering equipment.

[0069] The equipment digital twin module includes a pump digital twin module and a valve digital twin module. Based on the pump digital twin module and the valve digital twin module, the equipment digital twin module can analyze the monitoring information of pumps, pipes and valves to establish performance degradation models for pumps and valves, thereby analyzing and predicting the aging degree of pipelines.

[0070] Because the pipeline system operates continuously, the mechanical forces cause the equipment to enter the performance degradation period more quickly, leading to functional failures and performance deviations, which affect the health level of the equipment.

[0071] Digital twin modules for pumps and valves can establish flow field analysis models and equipment performance degradation models based on equipment structure and performance characteristics, and conduct experimental verification. They can monitor valve opening and closing patterns and pump operating performance. By monitoring operating parameters and hydraulic parameters, they can construct fault diagnosis algorithms and performance degradation models. Using big data analysis methods, they can determine and predict equipment health status, discover pump and valve operating problems, faults, and performance degradation trends, issue timely alarms, and carry out timely maintenance and early replacement to avoid system operation safety and efficiency problems caused by equipment failure or scheduling errors.

[0072] In particular, such as Figure 1 As shown, the digital twin system also includes a hydraulic digital twin module, which is used to simulate the hydraulic changes of a water supply project during operation.

[0073] The safe and efficient operation of water transmission and distribution systems is a complex hydraulic problem. Hydraulic operational characteristics reflect the comprehensive performance of the pipeline system. Hydraulic digital twins are based on the real-time operation and structural and performance evolution of pumps, pipes, valves, and equipment, combining comprehensive mathematical applications of material mechanics, structural mechanics, and pipeline fluid mechanics for these devices. For example... Figure 1 As shown, the hydraulic digital twin module of this invention is based on a hydraulic model data model, combined with hydraulic monitoring and prediction of water hammer, air, water volume, water pressure, etc., to form a digital twin. During water supply operations, the hydraulic digital twin module includes two processes: steady-state monitoring (water parameters such as pressure and flow rate during operation, equipment operating status, etc.) and transient monitoring (water hammer monitoring and air monitoring). Furthermore, based on actual hydraulic changes, the accuracy of all models and algorithms is verified to ensure that the high-precision model simulation calculations meet the requirements of actual working conditions.

[0074] Optional, such as Figure 2 , Figure 3 As shown, the data center includes:

[0075] A model library, which is used to store one or more of the following: hydraulic modeling for engineering design, model and algorithm selection, modeling methods, and parameter settings;

[0076] The model library includes hydraulic modeling for engineering design. Model and algorithm selection, modeling methods, and parameter settings are key. The water hammer data center can provide a complete set of modeling and analysis methods for different engineering applications. This embodiment of the invention uses a hydraulic mechanism model, which is added to the AI ​​model library after model verification. Alternatively, a new hydraulic model can be established based on the data model by incorporating parameter changes during transient scheduling, and then added to the AI ​​model library after model verification.

[0077] A strategy library, which is used to store transient process control strategies under different operating conditions;

[0078] Among them, the strategy library is particularly important for formulating transient process control strategies under different operating conditions, and the water hammer data center can provide the experience data needed for algorithm training; the case library is used to provide solutions for different scheduling scenarios.

[0079] The case library includes control cases under different scheduling scenarios. Users can select appropriate control cases according to specific scheduling scenarios. Specifically, it can provide component configuration methods, scheduling simulations, and mode contingency plans for the overall water hammer protection strategy.

[0080] Staff can verify new strategies using data in a full-scale laboratory. Once verified, the data can be added to the strategy library or case library. Alternatively, data can be collected in real time during the engineering process. Based on the real-time data collected, data can be verified and added to the strategy library or case library.

[0081] The data center in this invention stores massive amounts of pipeline hydraulic data and equipment operation data from engineering projects and laboratories. Through data cleaning, a dataset is formed, which is then used to train and validate hydraulic mechanism model software and data models. This satisfies safe scheduling strategies and efficient scheduling examples under different operating conditions, continuously accumulating to form an industry-relevant library of scheduling strategies, operational cases, and models. Based on the strategy library, case library, and model library of the data center module, this invention can be combined with regression, isolation, and evolutionary analysis methods to perform data mining on the data center module, continuously expanding and optimizing the control strategy library, operational case library, and model library. This provides the industry with more design and operational data, serving the safe and efficient operation of water supply projects.

[0082] In particular, such as Figure 4 As shown, the transient process intelligent scheduling system includes a steady-state monitoring and scheduling process ( Figure 4 (Left side steady-state monitoring section):

[0083] S101. Based on the steady-state hydraulic model of the water supply project, the initial operating parameters of the water supply project are obtained through water demand data, and the water demand scheduling is verified.

[0084] Among them, the actual water demand data can be determined based on the daily water supply and the demand of the zone nodes, the reasonable water supply pressure, and the daily switching scheduling / emergency adjustment needs. Then, the node pressure / flow is input into the hydraulic model steady-state analysis to determine the initial pump valve and target parameter adjustment, and to check whether the water demand scheduling is achieved after the parameter adjustment. If it is achieved, the subsequent process is carried out; if it is not achieved, the analysis is re-analyzed.

[0085] S102. Based on the initial operating parameters, obtain the control objects and control objectives of the water supply project scheduling;

[0086] Among them, control settings can be made based on the valve operation procedures and the step incremental PID control, with small / slow flow rate changes as the setting rules;

[0087] S103 uses intelligent algorithms and a control strategy library to formulate control strategies that include the timing, time point, and duration of the controlled object.

[0088] S104 applies a transient hydraulic model of the water supply project to form a control strategy and performs a safety check. If the safety requirements are met, the control strategy is used as the execution target and an execution command is generated.

[0089] S105 executes control commands and simultaneously monitors the hydraulic operation status of the pipeline network in real time, including steady-state pressure, flow rate, equipment operation status, and at least one of transient water hammer or air monitoring data. If no abnormality occurs, the scheduling target is achieved and the water supply process is safe and meets the requirements.

[0090] If an exception occurs, suspend the program and determine whether the scheduling goal has been achieved.

[0091] If no abnormality occurs in S106, the scheduling objective is achieved and the safety requirements are met. The monitoring results are compared and analyzed with the model analysis data. If the matching degree exceeds 70%, the information of this scheduling process can be entered into the control strategy library, and the accuracy of the steady-state model and transient model can be checked in combination with real-time monitoring data.

[0092] If an anomaly occurs, determine whether the scheduling objective has been achieved;

[0093] If the scheduling objective is not achieved, a new round of scheduling will continue.

[0094] If the scheduling objective is achieved, the cause of the anomaly is analyzed, and the original scheduling scheme and model are updated and optimized based on the cause of the anomaly.

[0095] In particular, such as Figure 4 As shown, the transient intelligent scheduling system also includes an emergency intelligent scheduling process. Figure 4 (Right side of the middle section: water hammer and air monitoring section)

[0096] S201. Based on the relevant hydraulic models and analysis and prediction algorithm models of the water supply project, conduct a safety analysis to determine the safe operating threshold of the water supply project equipment;

[0097] Among them, the actual water demand data can be determined based on the daily water supply and the demand of the zone nodes, the reasonable water supply pressure, and the daily switching scheduling / emergency adjustment needs. Then, the transient analysis of the hydraulic model and the water hammer safety analysis are incorporated to determine the timing and duration of the total pump and valve action as the safe working threshold.

[0098] S202. If the actual working condition of the water supply equipment exceeds the safe working threshold, extract the corresponding transient process control strategy from the strategy library;

[0099] Among them, based on the selected emergency plan (derived from the policy library or case library of the data center module), control settings can be made based on distributed control, with large / rapid changes in traffic as the setting rules;

[0100] S203. Control the water supply equipment according to the corresponding transient process control strategy.

[0101] The scheduling of water supply projects is a transient process control, which is generally divided into two categories: planned (steady-state) and emergency. It involves the operation of hydraulic components with hydraulic targets. If the operation is improper or the control strategy is unreasonable, a large risk of water hammer will be generated during the transient scheduling process, which may even lead to pipe bursts or equipment damage.

[0102] In this invention, the scheduling and control objectives are generally to change water volume and pressure, shut down emergency pipelines, or shut down water pumps in an emergency. Based on the scheduling objectives, a scheduling scheme is first determined, such as the water supply route and parameters of the controlled objects. Combining a strategy library, a safe control strategy is analyzed using the intelligent control algorithm of the scheduling model, including parameters such as the control sequence and duration of the controlled objects. During the execution of the control strategy by the scheduling system, equipment operating status, hydraulic parameters, and water hammer are monitored to verify the safety of the scheduling objectives and control process. Strategies and cases that meet the safety assessment requirements are added to the strategy and case libraries. Simultaneously, the hydraulic model and strategy algorithm are verified to provide more accurate simulation results for the next scheduling operation.

[0103] In particular, such as Figure 5 As shown, the hydraulic digital twin module also includes model accuracy assurance measures, which verify the content through boundary conditions. Specifically, it includes one or more of the following: dynamic characteristics of check valves, performance characteristics of control valves, steady-state and dynamic characteristics of air valves, and full characteristics of water pumps.

[0104] The accuracy of hydraulic models and analytical prediction data models is fundamental to pipeline network planning and optimization design, accident analysis, and health prediction. Real-time monitoring and the effectiveness of data model predictions are crucial for water hammer protection and intelligent control. The verification module, based on a dataset formed from full-scale laboratory and tens of thousands of user cases, enables model software evaluation, hydraulic component boundary condition verification, and water hammer calculation verification, resulting in a high-precision hydraulic mechanism model and modeling and verification methods.

[0105] In particular, the distributed water hammer protection system also includes a verification module, which includes at least one of the following: a hydraulic digital twin module, an accuracy assurance measures module, a full-scale laboratory device, and actual engineering verification.

[0106] The verification module includes a full-scale laboratory, experimental setups, and tens of thousands of user cases. The experimental setups verify the hydraulic components under ambient conditions to determine the characteristics of water supply engineering equipment. The full-scale laboratory evaluates the model software and modeling through full-scale experiments and performs extreme condition verification to generate cases or strategies, which are then stored in the data center module. Alternatively, a digital twin system can be used for simulation modeling to support online monitoring and prediction of water supply projects. The tens of thousands of user cases store a large number of user cases in the case and strategy libraries of the data center module to support online monitoring and prediction of water supply projects.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that after reading this application specification, they can still modify or make equivalent substitutions to the specific implementation of the present invention, but these modifications or changes do not depart from the protection scope of the pending claims of the present invention.

Claims

1. A water hammer protection and intelligent control system for water supply projects based on digital twins, characterized in that, The system includes: A monitoring and management system, which is used to monitor the hydraulic operation status information, equipment operation status information and equipment status information of a water supply project; A digital twin system, which is used to establish relevant hydraulic models and analysis and prediction algorithm models for water supply projects based on the operating status information, equipment operating status information and equipment status information of the water supply project; The data center is used to store the operation status information of the water supply project, the operation status information of the equipment and the status information of the equipment, the relevant hydraulic models of the water supply project, and the analysis and prediction algorithm models. A distributed water hammer protection system, wherein the distributed water hammer protection system is equipped with adaptive water hammer protection devices in water supply projects; A transient process intelligent scheduling system is used to schedule the performance of the hydraulic components of the system, so as to achieve the scheduling targets for water volume and pressure and process safety. The data center includes: A model library, which is used to store one or more of the following: hydraulic modeling for engineering design, model and algorithm selection, modeling methods, and parameter settings; A strategy library, which is used to store transient process control strategies under different operating conditions; A case library is provided to offer solutions for different scheduling scenarios. The transient intelligent scheduling system includes a scheduling process: S101. Obtain scheduling demand data, which includes the specific scheduling demand that needs to be adjusted in at least one of the following situations: daily water volume adjustment, abnormal adjustment, and emergency response. Based on the steady-state hydraulic model of the water supply project, obtain the initial working parameters of the water supply project through the water demand data, and verify whether the water demand scheduling has been achieved. S102. Based on the initial operating parameters, obtain the control objects and control objectives of the water supply project scheduling; S103 uses intelligent algorithms and a control strategy library to formulate control strategies that include the timing, time point, and duration of the controlled object. S104 applies a transient hydraulic model of the water supply project to form a control strategy and performs a safety check. If the safety requirements are met, the control strategy is used as the execution target and an execution command is generated. S105 executes control commands and simultaneously monitors the hydraulic operation status of the pipeline network in real time, including steady-state pressure, flow rate, equipment operation status, and at least one of transient water hammer or air monitoring data. If no abnormality occurs, the scheduling target is achieved and the water supply process is safe and meets the requirements. If an exception occurs, suspend the program and determine whether the scheduling goal has been achieved. If no abnormality occurs in S106, the scheduling objective is achieved and the safety requirements are met. The monitoring results are compared and analyzed with the model analysis data. If the matching degree exceeds 70%, the information of this scheduling process can be entered into the control strategy library, and the accuracy of the steady-state model and transient model can be checked in combination with real-time monitoring data. If an anomaly occurs, determine whether the scheduling objective has been achieved; If the scheduling objective is not achieved, a new round of scheduling will continue. If the scheduling objective is achieved, the cause of the anomaly is analyzed, and the original scheduling scheme and model are updated and optimized based on the cause of the anomaly.

2. The water hammer protection and intelligent control system for water supply projects based on digital twins as described in claim 1, characterized in that, The monitoring and management system includes a sensing layer, which includes one or more of hydraulic operation parameter acquisition devices and equipment operation parameter acquisition devices. The hydraulic operation parameter acquisition devices are used to acquire hydraulic-related information during the water supply process, and the equipment operation parameter acquisition devices are used to acquire the status of water supply engineering equipment.

3. The water hammer protection and intelligent control system for water supply projects based on digital twins as described in claim 1, characterized in that, The digital twin system includes a pipeline digital twin module, which is used to construct a water hammer-induced pipeline aging and failure model based on at least one of pipeline vibration, deformation, displacement, and sound waves, and to analyze and predict the impact of different levels of load on pipeline aging.

4. The water hammer protection and intelligent control system for water supply projects based on digital twins according to claim 3, characterized in that, The digital twin system also includes an equipment digital twin module, which is used to construct flow field analysis models and equipment performance degradation models for pumps, pipes, and valves based on the operating conditions of the water supply engineering equipment, thereby analyzing and predicting the health status of the water supply engineering equipment.

5. The water hammer protection and intelligent control system for water supply projects based on digital twins according to claim 4, characterized in that, The digital twin system also includes a hydraulic digital twin module, which is used to simulate the hydraulic changes of a water supply project during operation.

6. The water hammer protection and intelligent control system for water supply projects based on digital twins according to claim 1, characterized in that, The transient intelligent scheduling system also includes an emergency intelligent scheduling process: S201. Based on the relevant hydraulic models and analysis and prediction algorithm models of the water supply project, conduct a safety analysis to determine the safe operating threshold of the water supply project equipment; S202. If the actual working condition of the water supply equipment exceeds the safe working threshold, extract the corresponding transient process control strategy from the strategy library; S203. Control the water supply equipment according to the corresponding transient process control strategy.

7. The water hammer protection and intelligent control system for water supply projects based on digital twins as described in claim 5, characterized in that, The hydraulic digital twin module also includes model accuracy assurance measures, which verify the content through boundary conditions, specifically including one or more of the following: dynamic characteristics of check valves, performance characteristics of control valves, steady-state and dynamic characteristics of air valves, and full characteristics of water pumps.

8. The water hammer protection and intelligent control system for water supply projects based on digital twins according to claim 7, characterized in that, The system also includes a verification module, which includes at least one of the following: a hydraulic digital twin module, an accuracy assurance measures module, a full-scale laboratory device, and actual engineering verification.

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