Hydraulic engineering operation and maintenance management system based on digital twinning

Abstract

The invention discloses a hydraulic engineering operation and maintenance management system based on digital twinning, and relates to the technical field of hydraulic engineering operation and maintenance management, and the system comprises an operation and maintenance management center which is in communication connection with the following modules: a sensor network module which is used for deploying multiple types of sensors in key equipment and links of a hydraulic engineering, and is used for providing a communication network for the key equipment and links of the hydraulic engineering; an intelligent sensor network is formed, and equipment operation data and energy consumption data of hydraulic engineering equipment and links are obtained. Operation data and energy consumption data of hydraulic engineering equipment and links are acquired through the sensor network, energy consumption simulation is performed in combination with the virtual model, and energy consumption distribution and fluctuation conditions of hydraulic engineering under different operation conditions are visually displayed, so that managers can accurately master the energy consumption conditions of the equipment and links, and the management efficiency is improved. Energy consumption abnormal points are found in time, a powerful basis is provided for formulating targeted energy-saving measures, energy waste is effectively avoided, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy project operation and maintenance management, and in particular to a water conservancy project operation and maintenance management system based on digital twins. Background Art

[0002] With the increase in global population, climate change and accelerated urbanization, the demand for water resources is also increasing. Water conservancy projects play an important role in ensuring social water supply, farmland irrigation, hydropower generation, flood prevention and disaster reduction. Therefore, how to effectively manage the operation and maintenance of water conservancy projects to ensure their long-term stable and safe operation has become an urgent task.

[0003] For example, a water conservancy project operation and management system with Chinese patent publication number: CN120047105A ensures that the water demand of each receiving area is met, comprehensively understands the water quality of the reservoir after the project operation, and the impact of the reservoir water quality on the river, and continuously monitors the reservoir and the rivers entering the reservoir.

[0004] In the existing technology, by combining the business application needs of the operation and management of the Guanlu large-scale reservoir, a reservoir dam safety management and control system is constructed to improve the operation management and control capabilities of the reservoir, thereby solving the problem of difficulty in coping with rapidly changing environmental conditions or extreme weather conditions. However, due to the interweaving of energy consumption of different equipment and links in water conservancy projects, it is difficult to accurately grasp the energy consumption distribution and implement accurate energy-saving plans. Moreover, due to the lack of effective means to monitor and verify the energy-saving effects in real time, it is impossible to adjust and optimize the energy-saving plans in time. Therefore, how to grasp the energy consumption distribution and fluctuations through digital twin technology, and simulate and evaluate the energy-saving plans to select the optimal energy-saving plan is the problem to be solved by the present invention. To this end, a water conservancy project operation and maintenance management system based on digital twin is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a water conservancy project operation and maintenance management system based on digital twins to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0007] A water conservancy project operation and maintenance management system based on digital twins includes an operation and maintenance management center, which is communicatively connected to the following modules, including:

[0008] The sensor network module is used to deploy multiple types of sensors at key equipment and links of water conservancy projects to form an intelligent sensor network and obtain equipment operation data and energy consumption data of water conservancy project equipment and links;

[0009] The modeling and simulation module is used to use digital twin technology to create virtual models of various equipment and links in water conservancy projects, simulate the energy consumption of water conservancy equipment, and predict energy consumption fluctuations;

[0010] The energy-saving scheme evaluation module generates multiple energy-saving schemes based on virtual models and energy consumption analysis results. It then conducts a comprehensive evaluation of the energy-saving schemes by comparing them with the predicted energy consumption fluctuations, assesses the actual effects of the energy-saving schemes, and adjusts the schemes based on feedback to select the optimal energy-saving scheme, ensuring that the implementation of energy-saving measures can achieve the expected energy-saving goals.

[0011] The optimization and adjustment module is used to dynamically optimize and adjust the energy-saving plan based on real-time monitoring data and the implementation effect of the energy-saving plan, so as to achieve continuous improvement of energy-saving measures.

[0012] A further improvement of the technical solution of the present invention is that the sensor network module specifically includes:

[0013] Determine the sensor deployment locations for key equipment and links based on the structure and function of the water conservancy project, draw plan and cross-sectional views of the water conservancy project, mark the installation locations of each sensor, develop a sensor layout plan, and clearly define the sensor installation sequence and time plan to ensure that sensors can fully cover the key parts of the water conservancy project;

[0014] According to the established sensor layout plan, various types of sensors are installed at key equipment and links of the water conservancy project. During the installation process, the technical specifications and operating procedures are strictly followed to ensure that the sensors are installed in the correct position and firmly fixed. After the installation is completed, the sensors are debugged to check whether the communication connection of the sensors is normal and whether the data collection is accurate, thereby forming an intelligent sensor network;

[0015] The deployed intelligent sensor network collects equipment operation and energy consumption data of water conservancy project equipment and links according to the set collection frequency, and transmits the acquired data to the operation and maintenance management center through the wireless communication network;

[0016] After receiving the data transmitted by the intelligent sensor network, the operation and maintenance management center performs data preprocessing, cleans the data, removes noise data and outliers, converts and standardizes the data format, and stores the preprocessed equipment operation data and energy consumption data in the data warehouse.

[0017] A further improvement of the technical solution of the present invention is that: the modeling and simulation module includes a digital twin modeling unit and an energy consumption simulation unit;

[0018] The digital twin modeling unit is used to build a virtual model of the water conservancy project using BIM technology and GIS technology, integrate the collected data with the virtual model to form a complete digital twin, and intuitively display the overall structure and equipment distribution of the water conservancy project;

[0019] The energy consumption simulation unit is used to establish an energy consumption simulation model in a virtual model based on the collected equipment operation data and energy consumption data, simulate the energy consumption distribution and fluctuation of the water conservancy project under different operating conditions, calculate the corresponding energy consumption value by inputting different equipment operation parameters, and predict energy consumption fluctuations.

[0020] A further improvement of the technical solution of the present invention is that the digital twin modeling unit specifically includes:

[0021] Collect various data related to water conservancy projects, including BIM model data (including detailed design information such as architecture, structure, and electromechanical), GIS spatial data (including topography, geographic coordinates, and surrounding environment), and equipment operation data and energy consumption data collected by smart sensor networks;

[0022] Based on BIM technology, according to design drawings and specifications, a 3D building information model of the water conservancy project is constructed to present the building structure and equipment details. GIS technology is also used in combination with geospatial data to create a spatial geographic model of the area where the water conservancy project is located, showing the topography and surrounding geographical environment. Furthermore, the 3D building information model and spatial geographic model are integrated to construct a complete virtual model of the water conservancy project, intuitively presenting the overall structure and equipment distribution.

[0023] The collected equipment operation data and energy consumption data are integrated with the constructed virtual model, and the equipment operation data and energy consumption data are mapped to the corresponding positions and equipment in the virtual model. The virtual model and the actual water conservancy project status are updated synchronously to form a digital twin with dynamic update capabilities.

[0024] By using graphics rendering technology and visualization tools, the digital twin with integrated data is dynamically displayed, presenting the operating status and change trends of the water conservancy project in the form of intuitive graphics, animations and charts. Based on user feedback and actual needs, the display effect and interactive functions of the digital twin are optimized to improve its ease of use and practicality.

[0025] A further improvement of the technical solution of the present invention is that the energy consumption simulation unit specifically includes:

[0026] Extract equipment operation data and energy consumption data from the collected water conservancy project data, and analyze the system structure and operation logic of the water conservancy project in combination with the virtual model to determine the basic structure of the energy consumption simulation model, clearly using equipment operation parameters as input variables and energy consumption values ​​as output variables;

[0027] Based on equipment operation data, energy consumption data and the basic framework of the energy consumption simulation model, and in accordance with the physical characteristics of the water conservancy project, equipment operation rules and energy consumption characteristics, simulation software is used to construct an energy consumption simulation model that reflects the energy consumption distribution and fluctuation of the water conservancy project;

[0028] In the constructed energy consumption simulation model, different combinations of equipment operating parameters are input to simulate the energy consumption of the water conservancy project under different operating conditions. The energy consumption simulation model calculates the corresponding energy consumption value based on the input parameters and generates an energy consumption distribution map and fluctuation curve to show the distribution of energy consumption in different equipment and different locations, as well as the fluctuation trend with changes in operating conditions;

[0029] Based on the energy consumption simulation results, the time series analysis method is used to predict the energy consumption trend according to historical energy consumption data and current operating conditions. The prediction results are analyzed to evaluate whether the energy consumption is within a reasonable range and to identify water conservancy project equipment and operating conditions with high energy consumption.

[0030] A further improvement of the technical solution of the present invention is that the generation process of the energy consumption distribution diagram and the fluctuation curve is:

[0031] Based on the actual operation characteristics and needs of the water conservancy project and combined with the historical database, in the constructed energy consumption simulation model, the key equipment operating parameters that affect the energy consumption of the water conservancy project are determined, and the value ranges of each parameter under different operation scenarios are collected, sorted and classified to form a parameter combination library. Then, according to the simulation needs of different operating conditions of the water conservancy project, the required parameter values ​​are selected from the parameter combination library and combined. The set parameter combination is input into the energy consumption simulation model through the interface provided by the simulation software;

[0032] After inputting the equipment operating parameter combination, the energy consumption simulation model starts the corresponding calculation process according to the parameter combination, simulates the energy consumption of the water conservancy project under the corresponding operating conditions, calculates the energy loss of each device, and comprehensively calculates the energy consumption of each device to obtain the total energy consumption of the water conservancy project under different operating conditions, outputs the corresponding energy consumption value, and records the energy consumption data of different equipment, locations and time periods;

[0033] Based on the calculation results, the energy consumption values ​​of different equipment under different operating conditions are counted to generate an equipment energy consumption distribution diagram. In combination with the virtual model of the water conservancy project, the energy consumption data is mapped to different equipment installation locations to generate a location energy consumption distribution diagram. Then, with time as the horizontal axis and energy consumption as the vertical axis, a fluctuation curve of energy consumption over time is drawn. By analyzing the fluctuation curve, the energy consumption change trend of the water conservancy project in different time periods is understood. With the operating condition parameters as the horizontal axis and energy consumption as the vertical axis, a fluctuation curve of energy consumption over operating conditions is drawn;

[0034] The energy consumption values ​​obtained by simulation are compared with the actual energy consumption data and design energy consumption indicators of the water conservancy project to evaluate the energy consumption level of the water conservancy project under different operating conditions.

[0035] A further improvement of the technical solution of the present invention is that the calculation process of the total energy consumption of the water conservancy project under different operating conditions is:

[0036] According to the actual situation of the water conservancy project, list all key equipment and count the quantity of each type of equipment to ensure that all key equipment is included in the calculation scope;

[0037] For each device, determine its average power through historical operation data, and determine the operating time of each device in a specific time period based on the device's actual operation records;

[0038] Obtain the equipment's operating efficiency from the equipment's technical manual. Analyze the equipment's historical operating data based on the equipment's operating conditions to determine the average workload and rated workload of each device. Furthermore, based on the equipment's operating conditions, obtain the unit energy loss coefficient for each device. The unit energy loss coefficient is determined based on the equipment's operating efficiency, rated power, rated workload, and the difference between the actual operating pressure and the rated operating pressure.

[0039] The power consumption of each device is obtained by multiplying the average power of each device by the operating time of each device, and the energy loss of the device is obtained by multiplying the average workload of each device by the operating efficiency of the device and the product of the ratio and the energy loss coefficient of each device.

[0040] Add the power energy consumption of the equipment and the energy loss of the equipment to obtain the total energy consumption of the equipment, and add the energy consumption of all equipment to obtain the total energy consumption of the water conservancy project under different operating conditions.

[0041] A further improvement of the technical solution of the present invention is that the energy-saving solution evaluation module specifically includes:

[0042] Based on the constructed virtual models of various equipment and links of the water conservancy project and the results of energy consumption simulation analysis, key energy consumption points in the water conservancy project are identified. Based on the characteristics and actual needs of the water conservancy project and for different equipment and operation links, a variety of energy-saving solutions are initially conceived from multiple dimensions such as equipment optimization, operation scheduling, and management measures. The initially conceived energy-saving solutions are then refined and improved, and the specific implementation steps, technical requirements, required resources, and expected results of each energy-saving solution are clarified;

[0043] The generated energy-saving plans are input into the energy consumption simulation model one by one to simulate the energy consumption changes of the water conservancy project after the implementation of each energy-saving plan. The energy consumption simulation results after the implementation of the energy-saving plan are compared with the predicted energy consumption fluctuations to obtain evaluation indicators such as the total energy consumption reduction, energy saving rate and energy consumption fluctuation reduction rate. The energy-saving plan evaluation coefficient is comprehensively calculated to analyze the actual energy-saving effect of each energy-saving plan under different operating conditions.

[0044] According to the calculated energy-saving scheme evaluation coefficient, each energy-saving scheme is ranked and the order of advantages and disadvantages of each energy-saving scheme is determined. Based on the comprehensive evaluation results, the energy-saving schemes with lower rankings are analyzed to find out the existing problems and shortcomings. After multiple rounds of evaluation and adjustment, the TOP3 schemes are selected from all energy-saving schemes as alternative energy-saving schemes. Among them, the energy-saving scheme ranked first is the optimal energy-saving scheme. At the same time, the implementation plan of the optimal energy-saving scheme is determined, and the implementation steps, time nodes, responsible persons and required resource guarantees are clarified.

[0045] A further improvement of the technical solution of the present invention is that the process of obtaining the energy-saving scheme evaluation coefficient is as follows:

[0046] Based on the actual operation of the water conservancy project, determine the number of operating conditions that need to be evaluated. For each energy-saving plan, obtain its initial energy consumption and calculate the total energy consumption before implementation.

[0047] The energy consumption simulation model is used to simulate the energy consumption after the implementation of each energy-saving plan, and the total energy consumption reduction after the implementation of the energy-saving plan is calculated. Moreover, for each energy-saving plan and each operating condition, the energy saving rate is calculated by using the ratio of the energy consumption reduction to the initial energy consumption;

[0048] Through the energy consumption simulation model, the energy consumption fluctuation range before and after the implementation of each energy-saving plan is simulated, which are the initial energy consumption fluctuation range and the energy consumption fluctuation range after the implementation of the energy-saving plan. The difference between the two is calculated to obtain the reduction in energy consumption fluctuation range under each operating condition for each energy-saving plan;

[0049] For each energy-saving scheme and each operating condition, the comprehensive impact factor is calculated by calculating the ratio of the energy consumption fluctuation amplitude reduction to the initial energy consumption fluctuation amplitude, subtracting the ratio from 1, and multiplying it by the energy-saving rate and taking the square root.

[0050] For all energy-saving schemes, the product of the total energy consumption reduction and the comprehensive influencing factor is calculated and summed up. Then, the ratio of the summation result to the total energy consumption before implementation is calculated to obtain the energy-saving scheme evaluation coefficient.

[0051] A further improvement of the technical solution of the present invention is that the optimization and adjustment module specifically includes:

[0052] Continuously collect various monitoring data during the operation of water conservancy projects, covering equipment operating parameters and energy consumption data. At the same time, collect effect data after the implementation of energy-saving plans, including actual energy consumption reduction and energy-saving rate achieved;

[0053] Based on the collected monitoring data, we conduct a comprehensive evaluation of the implementation effect of the energy-saving plan. By comparing the actual energy consumption data with the expected target, we analyze whether the energy-saving plan has achieved the expected effect.

[0054] Based on the results of the effect evaluation, the energy-saving plan is optimized and adjusted in a targeted manner. In response to the problems found, improvement measures are proposed from multiple dimensions such as equipment optimization, operation scheduling and management measures. The optimized and adjusted energy-saving plan is put into implementation, and a real-time feedback mechanism is established. During the implementation process, the operation data and energy-saving effects of the water conservancy project are continuously monitored to grasp the implementation status and actual effects of the energy-saving plan. Through regular evaluation and analysis, the energy consumption changes and energy-saving effects before and after implementation are compared to verify the effectiveness of the optimization and adjustment measures. Then, based on the feedback results, the energy-saving plan is continuously iterated and optimized to achieve continuous improvement of energy-saving measures and ensure that the energy-saving plan always maintains the best energy-saving effect.

[0055] Due to the adoption of the above technical solution, the present invention has the following technical advancements compared to the prior art:

[0056] 1. The present invention provides a water conservancy project operation and maintenance management system based on digital twins. It collects the operating data and energy consumption data of water conservancy project equipment and links through a sensor network, combines it with a virtual model to perform energy consumption simulation, and intuitively displays the energy consumption distribution and fluctuation of the water conservancy project under different operating conditions, so that management personnel can accurately grasp the energy consumption status of each equipment and link, and promptly discover energy consumption anomalies, providing a strong basis for formulating targeted energy-saving measures, effectively avoiding energy waste, and improving energy utilization efficiency.

[0057] 2. The present invention provides a water conservancy project operation and maintenance management system based on digital twins. Based on the virtual model and energy consumption analysis results, it can generate multiple energy-saving schemes, and simulate and evaluate each scheme through an energy consumption simulation model. By calculating the total energy consumption reduction, energy saving rate and energy consumption fluctuation reduction rate, the energy-saving scheme evaluation coefficient is comprehensively obtained, and the schemes are ranked, which helps managers to scientifically screen out the optimal energy-saving scheme and ensure that the implementation of energy-saving measures can achieve the expected energy-saving goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0059] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0060] Figure 2 Schematic diagram of the system function modules of the present invention. DETAILED DESCRIPTION

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0062] Example 1, as Figure 1 、 Figure 2 As shown, the present invention provides a water conservancy project operation and maintenance management system based on digital twins, including an operation and maintenance management center, which is communicatively connected to the following modules, including:

[0063] The sensor network module is used to deploy multiple types of sensors in key equipment and links of water conservancy projects to form an intelligent sensor network, and obtain equipment operation data and energy consumption data of water conservancy project equipment and links. According to the structure and function of the water conservancy project, the sensor deployment position of key equipment and links is determined, the plan and cross-section of the water conservancy project are drawn, and the installation position of each sensor is marked to ensure that the sensors can fully cover the key parts of the water conservancy project and avoid monitoring blind spots. Sensors including water level sensors, flow sensors, pressure sensors, energy consumption monitoring sensors, etc. are selected, and a sensor layout plan is formulated. The sensor installation sequence and time plan are clarified to ensure that the sensors can fully cover the key parts of the water conservancy project. Various types of sensors are installed in key equipment and links of the water conservancy project according to the formulated sensor layout plan. During the installation process, the technical specifications and operating procedures are strictly followed to ensure that the sensor is installed accurately and firmly. After the installation is completed, the sensor is debugged and checked. Whether the communication connection is normal and the data collection is accurate, thereby forming an intelligent sensor network. Among them, for the water level sensor, it is necessary to ensure that its installation position is vertical and the measuring end is not affected by water flow impact and debris. The installation of the flow sensor must ensure that the fluid flow direction is consistent with the sensor calibration direction, and there are enough straight pipe sections before and after the sensor. The installation of the pressure sensor must pay attention to sealing to prevent leakage and avoid installation in parts with large vibrations. The installation of the energy consumption monitoring sensor must ensure correct wiring and good contact. The intelligent sensor network deployed in operation, each sensor obtains the equipment operation data and energy consumption data of the water conservancy project equipment and links according to the set collection frequency, and transmits the obtained data to the operation and maintenance management center through the wireless communication network. After receiving the data transmitted by the intelligent sensor network, the operation and maintenance management center performs data preprocessing, cleans the data, removes noise data and outliers, converts and standardizes the data format, and stores the preprocessed equipment operation data and energy consumption data in the data warehouse;

[0064] The modeling and simulation module is used to use digital twin technology to create virtual models of various equipment and links in water conservancy projects, simulate the energy consumption of water conservancy equipment, and predict energy consumption fluctuations. The modeling and simulation module includes a digital twin modeling unit and an energy consumption simulation unit;

[0065] Among them, the digital twin modeling unit is used to use BIM technology and GIS technology to build a virtual model of the water conservancy project, integrate the collected data with the virtual model to form a complete digital twin, intuitively display the overall structure and equipment distribution of the water conservancy project, collect various types of data related to the water conservancy project, covering BIM model data (including detailed design information such as architecture, structure, electromechanical, etc.), GIS spatial data (including topography, geographic coordinates, surrounding environment, etc.) and equipment operation data and energy consumption data collected by the intelligent sensor network. Based on BIM technology, according to design drawings and specifications, a three-dimensional building information model of the water conservancy project is constructed to present the building structure and equipment details, and using GIS technology, combined with geographic spatial data, a spatial geographic model of the area where the water conservancy project is located is created to show the topography and surrounding geographical environment, thereby integrating the three 3D building information model and spatial geographic model, construct a complete virtual model of the water conservancy project, intuitively present the overall structure and equipment distribution, integrate the collected equipment operation data and energy consumption data with the constructed virtual model, map the equipment operation data and energy consumption data to the corresponding positions and equipment in the virtual model, and synchronously update the virtual model with the actual water conservancy project status, so that the model can dynamically reflect the actual operation status of the water conservancy project, realize the organic combination of virtual and reality, and form a digital twin with dynamic update capabilities. Utilize graphics rendering technology and visualization tools to dynamically display the digital twin after fusion of data, and present the operation status and change trend of the water conservancy project in the form of intuitive graphics, animations and charts. Based on user feedback and actual needs, optimize the display effect and interactive functions of the digital twin to improve its usability and practicality;

[0066] The energy consumption simulation unit is used to establish an energy consumption simulation model in the virtual model based on the collected equipment operation data and energy consumption data, simulate the energy consumption distribution and fluctuation of the water conservancy project under different operating conditions, calculate the corresponding energy consumption value by inputting different equipment operation parameters, and predict the energy consumption fluctuation. The equipment operation data and energy consumption data are extracted from the collected water conservancy project data, and the system structure and operation logic of the water conservancy project are analyzed in combination with the virtual model to determine the basic structure of the energy consumption simulation model. The equipment operation parameters are clearly used as input variables and the energy consumption value is used as the output variable. Based on the equipment operation data, energy consumption data and the basic structure of the energy consumption simulation model, according to the physical characteristics of the water conservancy project (hydraulic loss, heat transfer, etc.), equipment operation laws (head-flow characteristics of the pump, power-speed characteristics of the generator) and energy consumption characteristics, the simulation software (MATLAB / Simul) is used to simulate the energy consumption of the water conservancy project. ink) construct an energy consumption simulation model that reflects the distribution and fluctuation of energy consumption in water conservancy projects. By continuously adjusting the model parameters and structure, conducting multiple simulations and verifications, the accuracy and reliability of the model are improved, so that the model can better simulate the energy consumption characteristics of water conservancy project equipment. In the constructed energy consumption simulation model, different equipment operating parameter combinations are input to simulate the energy consumption of water conservancy projects under different operating conditions (different water supply demands, power generation loads, etc.). The energy consumption simulation model calculates the corresponding energy consumption values ​​based on the input parameters and generates an energy consumption distribution diagram and fluctuation curve to show the distribution of energy consumption in different equipment and different locations, as well as the fluctuation trend with changes in operating conditions. Based on the energy consumption simulation results, a time series analysis method is used to predict the energy consumption change trend according to historical energy consumption data and current operating conditions. The prediction results are analyzed to evaluate whether the energy consumption is within a reasonable range and identify water conservancy project equipment and operating conditions with high energy consumption;

[0067] In addition, the generation process of energy consumption distribution graph and fluctuation curve is as follows:

[0068] Based on the actual operation characteristics and needs of the water conservancy project and combined with the historical database, in the constructed energy consumption simulation model, the operating parameters of the key equipment that affect the energy consumption of the water conservancy project are determined, covering the operating indicators of various key equipment of the water conservancy project, including the flow, head, and speed of the water pump, the active power, reactive power, power factor of the generator, the opening of the gate, etc., and the value ranges of each parameter under different operation scenarios are collected, sorted and classified to form a parameter combination library. Then, according to the simulation needs of different operating conditions of the water conservancy project, the required parameter values ​​are selected from the parameter combination library for combination, and the set parameter combination is input into the energy consumption simulation model through the interface provided by the simulation software. After entering the equipment operation parameter combination, the energy consumption simulation model starts the corresponding calculation process according to the parameter combination, simulates the energy consumption of the water conservancy project under the corresponding operating conditions, calculates the energy loss of each device, and comprehensively calculates the energy consumption of each device to obtain the total energy consumption of the water conservancy project under different operating conditions, outputs the corresponding energy consumption value, records the energy consumption data of different equipment, locations and time periods, and statistics the energy consumption of different equipment in different operating conditions based on the calculation results. The energy consumption value under the working condition is used to generate the equipment energy consumption distribution diagram. In combination with the virtual model of the water conservancy project, the energy consumption data is mapped to different equipment installation locations to generate the location energy consumption distribution diagram. Then, with time as the horizontal axis and energy consumption value as the vertical axis, a fluctuation curve of energy consumption changing with time is drawn. By analyzing the fluctuation curve, the energy consumption trend of the water conservancy project in different time periods is understood. With the operating condition parameters as the horizontal axis and energy consumption value as the vertical axis, a fluctuation curve of energy consumption changing with operating conditions is drawn to intuitively display the energy consumption change law of the water conservancy project under different operating conditions, helping operators understand the energy consumption characteristics of the equipment under different operating conditions, thereby optimizing the operating parameters and reducing energy consumption. The simulated energy consumption value is compared with the actual energy consumption data and design energy consumption indicators of the water conservancy project to evaluate the energy consumption level of the water conservancy project under different operating conditions. If the simulated energy consumption value is significantly higher than the actual energy consumption data or the design energy consumption indicator, it means that there are unreasonable parameter settings in the energy consumption simulation model and the model needs to be further optimized. If the simulated energy consumption value is lower than the actual energy consumption data, it is necessary to check whether there is energy waste or equipment failure during the actual operation process.

[0069] The calculation process of the total energy consumption of water conservancy projects under different operating conditions is as follows:

[0070] According to the actual situation of the water conservancy project, a list of all key equipment is made, including water pumps, generators, gates, etc., and the number of each type of equipment is counted to ensure that all key equipment is included in the calculation range. Among them, the type and quantity of equipment are determined through the design drawings of the water conservancy project, equipment list and on-site investigation. For each equipment, its average power is determined through historical operation data, and the operating time of each equipment in a specific time period is determined based on the actual operation record of the equipment. The operating efficiency of the equipment is obtained through the technical manual of the equipment. According to the operating conditions of the equipment, the historical operation data of the equipment is analyzed to determine the average workload of each equipment and the rated workload of the equipment, and then according to the operation of the equipment, the average workload of the equipment and the rated workload of the equipment are determined. According to the operating conditions, the unit energy loss coefficient of each device is obtained, where the unit energy loss coefficient needs to be determined in combination with the operating efficiency of the device, the rated power of the device, the rated workload of the device, and the difference between the actual operating pressure and the rated operating pressure. The power energy consumption of the device is obtained by calculating the product of the average power of each device and the operating time of each device, and the ratio of the average workload of each device to the operating efficiency of the device, as well as the product of this ratio and the energy loss coefficient of each device, to obtain the energy loss of the device. The power energy consumption of the device and the energy loss of the device are added to obtain the total energy consumption of the device. The energy consumption of all devices is added to obtain the total energy consumption of the water conservancy project under different operating conditions.

[0071] The calculation expression of the total energy consumption of water conservancy projects under different operating conditions is:

[0072]

[0073] Where, E total is the total energy consumption of the water conservancy project under specific operating conditions (unit: kilowatt-hour, kWh), N is the total number of key equipment in the water conservancy project, P k is the average power of the kth device (unit: kilowatt, kW), t k is the operating time of the kth device (unit: hours, h), L k is the unit energy loss coefficient of the kth device (unit: kilowatt-hour / unit workload, kWh / unit workload), d k is the unit workload of the kth device, η k is the operating efficiency of the kth device (range 0 to 1), P k，r is the rated power of the kth device (unit: kilowatt, kW), α k is the temperature sensitivity coefficient of the kth device, ranging from 0 to 0.01, depending on the material and design of the device. For metal devices, the temperature sensitivity coefficient is higher, and for plastic devices, it is lower. ΔT k is the difference between the actual operating temperature and the rated operating temperature of the kth device (unit: degrees Celsius, ℃), β kis the pressure sensitivity coefficient of the kth device, which is between 0 and 0.001, depending on the design and operating conditions of the device. For high-pressure devices, the pressure sensitivity coefficient is higher, and for low-pressure devices, it is lower. ΔP k is the difference between the actual operating pressure and the rated operating pressure of the kth device (unit: Pascal, Pa), d k，r is the rated workload of the kth device

[0074] The energy-saving scheme evaluation module generates multiple energy-saving schemes based on virtual models and energy consumption analysis results. It then conducts a comprehensive evaluation of the energy-saving schemes by comparing them with the predicted energy consumption fluctuations, assesses the actual effects of the energy-saving schemes, and adjusts the schemes based on feedback to select the optimal energy-saving scheme, ensuring that the implementation of energy-saving measures can achieve the expected energy-saving goals.

[0075] The optimization and adjustment module is used to dynamically optimize and adjust the energy-saving plan based on real-time monitoring data and the implementation effect of the energy-saving plan, to achieve continuous improvement of energy-saving measures, and to ensure that the energy-saving plan can be adjusted in time according to the actual operation of the water conservancy project to maintain the best energy-saving effect.

[0076] Example 2, as Figure 1 、 Figure 2 As shown, based on Example 1, the present invention provides a technical solution: preferably, the energy-saving solution evaluation module specifically includes:

[0077] Based on the constructed virtual models of various equipment and links of the water conservancy project and the energy consumption simulation analysis results, the key energy consumption points in the water conservancy project are identified, and for different equipment and operation links, combined with the characteristics and actual needs of the water conservancy project, a variety of energy-saving schemes are preliminarily conceived from multiple dimensions such as equipment optimization, operation scheduling, and management measures. The preliminarily conceived energy-saving schemes are then refined and improved, and the specific implementation steps, technical requirements, required resources and expected effects of each energy-saving scheme are clarified, aiming to reduce energy consumption and improve operational efficiency. Among them, the virtual model presents the equipment layout, operation process and the relationship between each equipment of the water conservancy project. The energy consumption analysis results show the energy consumption distribution and fluctuation of different equipment and different operating conditions. The generated energy-saving schemes are input one by one into the energy consumption simulation model to simulate the energy consumption of the water conservancy project after the implementation of each energy-saving scheme. The energy consumption simulation results after the implementation of the energy-saving plan are compared with the predicted energy consumption fluctuations to obtain evaluation indicators of total energy consumption reduction, energy saving rate and energy consumption fluctuation reduction rate, and the energy-saving plan evaluation coefficient is calculated comprehensively. The actual energy-saving effect of each energy-saving plan under different operating conditions is analyzed, and the energy-saving plans are ranked according to the calculated energy-saving plan evaluation coefficient to determine the order of advantages and disadvantages of each energy-saving plan. According to the comprehensive evaluation results, the energy-saving plans with lower rankings are analyzed to find out the existing problems and shortcomings. After multiple rounds of evaluation and adjustment, the TOP3 plans are selected from all energy-saving plans as alternative energy-saving plans. Among them, the energy-saving plan ranked first is the optimal energy-saving plan. At the same time, the implementation plan of the optimal energy-saving plan is determined, and the implementation steps, time nodes, responsible persons and required resource guarantees are clarified;

[0078] The process of obtaining the energy-saving scheme evaluation coefficient is as follows:

[0079] According to the actual operation of the water conservancy project, the number of operating conditions that need to be evaluated is determined. For each energy-saving plan, its initial energy consumption is obtained, and the total energy consumption before implementation is calculated. The operating conditions include different water supply demands, power generation loads, seasonal changes, etc. By analyzing historical operating data and actual operating needs, the key operating conditions are determined. The total energy consumption under all operating conditions before the implementation of each energy-saving plan is obtained through historical operating data. The energy consumption after the implementation of each energy-saving plan is simulated through an energy consumption simulation model, and the total energy consumption reduction after the implementation of the energy-saving plan is calculated. In addition, for each energy-saving plan and each operating condition, the energy consumption reduction is calculated by using the ratio of the energy consumption reduction to the initial energy consumption. Energy rate: Through the energy consumption simulation model, the energy consumption fluctuation range before and after the implementation of each energy-saving plan is simulated, which are the initial energy consumption fluctuation range and the energy consumption fluctuation range after the implementation of the energy-saving plan, and the difference between the two is calculated to obtain the energy consumption fluctuation range reduction of each energy-saving plan under each operating condition. For each energy-saving plan and each operating condition, the comprehensive impact factor is calculated by calculating the ratio of the energy consumption fluctuation range reduction to the initial energy consumption fluctuation range, subtracting the ratio from 1, and multiplying it by the energy-saving rate to obtain the square root. For all energy-saving plans, the product of the total energy consumption reduction and the comprehensive impact factor is calculated, and the sum is calculated. Then, the ratio of the sum result to the total energy consumption before implementation is calculated to obtain the energy-saving plan evaluation coefficient;

[0080] The calculation expression of the energy-saving scheme evaluation coefficient is:

[0081]

[0082] ΔE ij =E 0ij -E ij ;

[0083]

[0084] ΔV ij =V 0j -V ij ;

[0085] Where, EA i is the energy-saving scheme evaluation coefficient of the i-th energy-saving scheme, M is the number of operating conditions, ΔE ij is the total energy consumption reduction of the i-th energy-saving scheme under the j-th operating condition (unit: kilowatt-hour, kWh). As the effectiveness of energy-saving measures increases, ΔE ij Increase, E ij is the energy consumption after implementing the energy-saving plan, η ij is the energy saving rate of the i-th energy saving scheme under the j-th operating condition (range 0 to 1). As the effectiveness of energy saving measures increases, η ij Increase, E 0ij is the initial energy consumption, ΔVij is the reduction in energy consumption fluctuation of the i-th energy-saving scheme under the j-th operating condition (unit: kilowatt-hour, kWh). As the effectiveness of energy-saving measures increases, ΔV ij Increase, V 0j is the initial energy consumption fluctuation amplitude under the jth operating condition (unit: kilowatt-hour, kWh), V ij is the energy consumption fluctuation range after the implementation of the energy-saving plan, E 0i is the total energy consumption before the implementation of the i-th energy-saving plan (unit: kilowatt-hour, kWh), EA i The value of is between 0 and 1, EA i The higher the value, the better the effect of the energy-saving scheme. If the energy-saving scheme evaluation coefficient is close to 1, it means that the energy-saving scheme can significantly reduce energy consumption and energy consumption fluctuations under all operating conditions.

[0086] The optimization and adjustment module specifically includes:

[0087] Continuously collect various types of monitoring data during the operation of water conservancy projects, covering equipment operating parameters and energy consumption data. At the same time, collect effect data after the implementation of energy-saving plans, including actual energy consumption reduction, energy-saving rate achievement, etc. Based on the various types of monitoring data collected, conduct a comprehensive evaluation of the implementation effect of the energy-saving plan. By comparing the actual energy consumption data with the expected target, analyze whether the energy-saving plan has achieved the expected effect. According to the effect evaluation results, carry out targeted optimization and adjustment of the energy-saving plan. For the problems found, propose improvement measures from multiple dimensions such as equipment optimization, operation scheduling and management measures, and put the optimized and adjusted energy-saving plan into implementation, establish a real-time feedback mechanism, and continuously monitor the operation data and energy-saving effects of water conservancy projects during implementation to grasp the implementation status and actual effects of energy-saving plans. Through regular evaluation and analysis, compare the energy consumption changes and energy-saving effects before and after implementation to verify the effectiveness of the optimization and adjustment measures. Then, based on the feedback results, continuously iterate and optimize the energy-saving plan to achieve continuous improvement of energy-saving measures and ensure that the energy-saving plan always maintains the best energy-saving effect.

[0088] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A water conservancy project operation and maintenance management system based on digital twins, including an operation and maintenance management center, characterized by: The operation and maintenance management center is connected to the following modules: The sensor network module is used to deploy multiple types of sensors at key equipment and links of water conservancy projects to form an intelligent sensor network and obtain equipment operation data and energy consumption data of water conservancy project equipment and links; The modeling and simulation module is used to use digital twin technology to create virtual models of various equipment and links in water conservancy projects, simulate the energy consumption of water conservancy equipment, and predict energy consumption fluctuations; The energy-saving scheme evaluation module generates multiple energy-saving schemes based on the virtual model and energy consumption analysis results. It then conducts a comprehensive evaluation of the energy-saving schemes by comparing them with the predicted energy consumption fluctuations, assesses the actual effects of the energy-saving schemes, and adjusts the schemes based on the feedback to select the optimal energy-saving scheme. The optimization and adjustment module is used to dynamically optimize and adjust the energy-saving plan based on real-time monitoring data and the implementation effect of the energy-saving plan.

2. The water conservancy project operation and maintenance management system based on digital twin according to claim 1 is characterized by: The sensor network module specifically includes: Determine the sensor deployment locations for key equipment and links based on the structure and function of the water conservancy project, draw plan and cross-sectional views of the water conservancy project, mark the installation locations of each sensor, develop a sensor layout plan, and clarify the sensor installation sequence and time plan; According to the developed sensor layout plan, various types of sensors are installed at key equipment and links of the water conservancy project. After installation, the sensors are debugged to form an intelligent sensor network. The deployed intelligent sensor network collects equipment operation and energy consumption data of water conservancy project equipment and links according to the set collection frequency, and transmits the acquired data to the operation and maintenance management center through the wireless communication network; After receiving the data transmitted by the intelligent sensor network, the operation and maintenance management center performs data preprocessing and stores the preprocessed equipment operation data and energy consumption data in the data warehouse.

3. The water conservancy project operation and maintenance management system based on digital twin according to claim 1 is characterized by: The modeling and simulation module includes a digital twin modeling unit and an energy consumption simulation unit; The digital twin modeling unit is used to build a virtual model of the water conservancy project using BIM technology and GIS technology, and integrate the collected data with the virtual model to form a complete digital twin; The energy consumption simulation unit is used to establish an energy consumption simulation model in a virtual model based on the collected equipment operation data and energy consumption data, simulate the energy consumption distribution and fluctuation of the water conservancy project under different operating conditions, calculate the corresponding energy consumption value by inputting different equipment operation parameters, and predict energy consumption fluctuations.

4. The water conservancy project operation and maintenance management system based on digital twin according to claim 3 is characterized by: The digital twin modeling unit specifically includes: Collect various data related to water conservancy projects, including BIM model data, GIS spatial data, and equipment operation data and energy consumption data collected by smart sensor networks; Based on BIM technology, a 3D building information model of the water conservancy project is constructed according to design drawings and specifications. GIS technology is used in combination with geospatial data to create a spatial geographic model of the area where the water conservancy project is located. The 3D building information model and spatial geographic model are then integrated to construct a complete virtual model of the water conservancy project. The collected equipment operation data and energy consumption data are integrated with the constructed virtual model, and the equipment operation data and energy consumption data are mapped to the corresponding positions and equipment in the virtual model. The virtual model and the actual water conservancy project status are updated synchronously to form a digital twin with dynamic update capabilities. Using graphics rendering technology and visualization tools, the digital twin after data fusion is dynamically displayed, and the display effect and interactive functions of the digital twin are optimized based on user feedback and actual needs.

5. The water conservancy project operation and maintenance management system based on digital twin according to claim 3 is characterized by: The energy consumption simulation unit specifically includes: Extract equipment operation data and energy consumption data from the collected water conservancy project data, and analyze the system structure and operation logic of the water conservancy project in combination with the virtual model to determine the basic structure of the energy consumption simulation model, clearly using equipment operation parameters as input variables and energy consumption values ​​as output variables; Based on equipment operation data, energy consumption data and the basic framework of the energy consumption simulation model, and in accordance with the physical characteristics of the water conservancy project, equipment operation rules and energy consumption characteristics, simulation software is used to construct an energy consumption simulation model that reflects the energy consumption distribution and fluctuation of the water conservancy project; In the constructed energy consumption simulation model, different combinations of equipment operating parameters are input to simulate the energy consumption of the water conservancy project under different operating conditions. The energy consumption simulation model calculates the corresponding energy consumption value based on the input parameters and generates an energy consumption distribution map and fluctuation curve to show the distribution of energy consumption in different equipment and different locations, as well as the fluctuation trend with changes in operating conditions; Based on the energy consumption simulation results, the time series analysis method is used to predict the energy consumption trend according to historical energy consumption data and current operating conditions. The prediction results are analyzed to evaluate whether the energy consumption is within a reasonable range and to identify water conservancy project equipment and operating conditions with high energy consumption.

6. The water conservancy project operation and maintenance management system based on digital twin according to claim 5 is characterized by: The generation process of the energy consumption distribution diagram and fluctuation curve is as follows: Based on the actual operation characteristics and needs of the water conservancy project and combined with the historical database, in the constructed energy consumption simulation model, the key equipment operating parameters that affect the energy consumption of the water conservancy project are determined, and the value ranges of each parameter under different operation scenarios are collected, sorted and classified to form a parameter combination library. Then, according to the simulation needs of different operating conditions of the water conservancy project, the required parameter values ​​are selected from the parameter combination library and combined. The set parameter combination is input into the energy consumption simulation model through the interface provided by the simulation software; After inputting the equipment operating parameter combination, the energy consumption simulation model starts the corresponding calculation process according to the parameter combination, simulates the energy consumption of the water conservancy project under the corresponding operating conditions, calculates the energy loss of each device, and comprehensively calculates the energy consumption of each device to obtain the total energy consumption of the water conservancy project under different operating conditions, outputs the corresponding energy consumption value, and records the energy consumption data of different equipment, locations and time periods; Based on the calculation results, the energy consumption values ​​of different equipment under different operating conditions are counted to generate an equipment energy consumption distribution diagram. In combination with the virtual model of the water conservancy project, the energy consumption data is mapped to different equipment installation locations to generate a location energy consumption distribution diagram. Then, with time as the horizontal axis and energy consumption as the vertical axis, a fluctuation curve of energy consumption over time is drawn. With operating condition parameters as the horizontal axis and energy consumption as the vertical axis, a fluctuation curve of energy consumption as operating conditions is drawn. The energy consumption values ​​obtained by simulation are compared with the actual energy consumption data and design energy consumption indicators of the water conservancy project to evaluate the energy consumption level of the water conservancy project under different operating conditions.

7. The water conservancy project operation and maintenance management system based on digital twin according to claim 6 is characterized by: The calculation process of the total energy consumption of the water conservancy project under different operating conditions is as follows: According to the actual situation of the water conservancy project, list all key equipment and count the quantity of each type of equipment to ensure that all key equipment is included in the calculation scope; For each device, determine its average power through historical operation data, and determine the operating time of each device in a specific time period based on the device's actual operation records; Obtain the equipment's operating efficiency from the equipment's technical manual. Analyze the equipment's historical operating data based on the equipment's operating conditions to determine the average workload and rated workload of each device. Furthermore, based on the equipment's operating conditions, obtain the unit energy loss coefficient for each device. The unit energy loss coefficient is determined based on the equipment's operating efficiency, rated power, rated workload, and the difference between the actual operating pressure and the rated operating pressure. The power consumption of each device is obtained by multiplying the average power of each device by the operating time of each device, and the energy loss of the device is obtained by multiplying the average workload of each device by the operating efficiency of the device and the product of the ratio and the energy loss coefficient of each device. Add the power energy consumption of the equipment and the energy loss of the equipment to obtain the total energy consumption of the equipment, and add the energy consumption of all equipment to obtain the total energy consumption of the water conservancy project under different operating conditions.

8. The water conservancy project operation and maintenance management system based on digital twin according to claim 1 is characterized by: The energy-saving scheme evaluation module specifically includes: Based on the constructed virtual models of the various equipment and links of the water conservancy project and the results of energy consumption simulation analysis, the key energy consumption points in the water conservancy project are identified. Based on the characteristics and actual needs of the water conservancy project and the different equipment and operation links, a variety of energy-saving solutions are initially conceived. The energy-saving solutions are then refined and improved, and the specific implementation steps, technical requirements, required resources and expected results of each energy-saving solution are clarified; The generated energy-saving plans are input into the energy consumption simulation model one by one to simulate the energy consumption changes of the water conservancy project after the implementation of each energy-saving plan. The energy consumption simulation results after the implementation of the energy-saving plan are compared with the predicted energy consumption fluctuations to obtain evaluation indicators such as the total energy consumption reduction, energy saving rate and energy consumption fluctuation reduction rate. The energy-saving plan evaluation coefficient is comprehensively calculated to analyze the actual energy-saving effect of each energy-saving plan under different operating conditions. According to the calculated energy-saving scheme evaluation coefficient, each energy-saving scheme is ranked and the order of advantages and disadvantages of each energy-saving scheme is determined. Based on the comprehensive evaluation results, the energy-saving schemes with lower rankings are analyzed to find out the existing problems and shortcomings. After multiple rounds of evaluation and adjustment, the TOP3 schemes are selected from all energy-saving schemes as alternative energy-saving schemes. Among them, the energy-saving scheme ranked first is the optimal energy-saving scheme. At the same time, the implementation plan of the optimal energy-saving scheme is determined, and the implementation steps, time nodes, responsible persons and required resource guarantees are clarified.

9. The water conservancy project operation and maintenance management system based on digital twin according to claim 8, characterized in that: The process of obtaining the energy-saving scheme evaluation coefficient is as follows: Based on the actual operation of the water conservancy project, determine the number of operating conditions that need to be evaluated. For each energy-saving plan, obtain its initial energy consumption and calculate the total energy consumption before implementation. The energy consumption simulation model is used to simulate the energy consumption after the implementation of each energy-saving plan, and the total energy consumption reduction after the implementation of the energy-saving plan is calculated. Moreover, for each energy-saving plan and each operating condition, the energy saving rate is calculated by using the ratio of the energy consumption reduction to the initial energy consumption; Through the energy consumption simulation model, the energy consumption fluctuation range before and after the implementation of each energy-saving plan is simulated, which are the initial energy consumption fluctuation range and the energy consumption fluctuation range after the implementation of the energy-saving plan. The difference between the two is calculated to obtain the reduction in energy consumption fluctuation range under each operating condition for each energy-saving plan; For each energy-saving scheme and each operating condition, the comprehensive impact factor is calculated by calculating the ratio of the energy consumption fluctuation amplitude reduction to the initial energy consumption fluctuation amplitude, subtracting the ratio from 1, and multiplying it by the energy-saving rate and taking the square root. For all energy-saving schemes, the product of the total energy consumption reduction and the comprehensive influencing factor is calculated and summed up. Then, the ratio of the summation result to the total energy consumption before implementation is calculated to obtain the energy-saving scheme evaluation coefficient.

10. The water conservancy project operation and maintenance management system based on digital twin according to claim 1, characterized in that: The optimization and adjustment module specifically includes: Continuously collect various monitoring data during the operation of water conservancy projects, including equipment operating parameters and energy consumption data, and collect effect data after the implementation of energy-saving plans; Based on the collected monitoring data, we will conduct a comprehensive evaluation of the implementation effect of the energy-saving plan. By comparing the actual energy consumption data with the expected target, we will analyze whether the energy-saving plan has achieved the expected effect. Based on the results of the effect evaluation, the energy-saving plan is optimized and adjusted in a targeted manner. In response to the problems found, improvement measures are proposed from multiple dimensions such as equipment optimization, operation scheduling and management measures. The optimized and adjusted energy-saving plan is put into implementation, and a real-time feedback mechanism is established. During the implementation process, the operation data and energy-saving effects of the water conservancy project are continuously monitored, and the energy consumption changes and energy-saving effects before and after implementation are compared to verify the effectiveness of the optimization and adjustment measures. Then, based on the feedback results, the energy-saving plan is continuously iterated and optimized to achieve continuous improvement of energy-saving measures.

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