Hydropower station water temperature intelligent regulation and control system and method based on stoplog gate layered water taking

Abstract

The invention provides a hydropower station water temperature intelligent regulation and control system and method based on stoplog gate layered water taking, and aims to solve the problems of insufficient tail water temperature regulation and control capability, poor adaptability and relatively high energy consumption in a traditional fixed depth water taking mode. The system comprises a layered water taking device, a water temperature monitoring system, a data processing platform, an intelligent control module and a distributed intelligent monitoring network. The layered water taking device achieves dynamic water taking of water bodies of different depths of a reservoir through a modularized stoplog door and an opening and closing control system. The water temperature monitoring system and the distributed intelligent monitoring network obtain water temperature data and other environmental parameters of water in front of and at the tail of the reservoir in real time; the data processing platform combines historical data and real-time monitoring data to analyze thermocline features and change trends; and the intelligent control module optimizes a regulation and control strategy based on an AI algorithm, and dynamically adjusts the opening and closing height and frequency of the stoplog gate. And through a closed-loop feedback mechanism, a regulation and control scheme is optimized in real time, and the tail water temperature regulation and control precision is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy and hydropower engineering, and in particular to a water temperature intelligent control system and method for a hydropower station based on layered water intake with stoplog gates. Background Art

[0002] In the current operation of hydropower stations, fixed-depth water intake devices are generally used for water intake and tailwater discharge from reservoir water bodies. Traditional fixed-depth water intake devices usually consist of a single water inlet, a fixed gate and a water diversion channel. They have a simple structure and the water intake is regulated by adjusting the opening and closing state of the fixed gate. The tailwater temperature is subject to the influence of the water intake depth and the water temperature distribution of the reservoir, and cannot flexibly adapt to the dynamic changes of the reservoir thermocline. In addition, the traditional water intake system lacks accurate monitoring and real-time control means, the water intake layer is difficult to cover the target water area, and the tailwater temperature fluctuates significantly.

[0003] Although the traditional fixed-depth water extraction scheme has certain economic and easy operation, it has obvious shortcomings in meeting the comprehensive needs of ecological protection and operational efficiency:

[0004] Insufficient tailwater temperature control capability: The design of fixed water intake depth makes it impossible for the water intake layer to dynamically adjust to the thermocline. Especially when the thermocline changes significantly in summer and winter, the water intake layer often cannot cover the target water area, resulting in the tailwater temperature being too low or too high, which has an adverse impact on the downstream ecosystem. According to historical data, under the fixed depth water intake method, the tailwater temperature fluctuates by ±3°C in summer, and the problem of low-temperature water discharge in winter is particularly serious.

[0005] Limited ability to adapt to complex hydrological conditions: Traditional solutions show poor adaptability to rapid fluctuations in reservoir water levels or extreme weather conditions. Fixed-depth water intake cannot be flexibly adjusted according to changes in water temperature distribution in front of the dam, and it is difficult to cope with rapid fluctuations in reservoir water levels or dynamic changes in seasonal thermoclines. Especially under extreme weather conditions, the accuracy of tailwater temperature control is significantly reduced, resulting in fluctuations in power generation efficiency and poor ecological protection effects.

[0006] Lack of intelligent and energy-saving and environmentally friendly design: Traditional fixed-depth water intake devices rely on manual control and lack monitoring methods. They can only perform extensive regulation based on limited water level data. The real-time and coverage of monitoring data are limited, making it difficult to achieve dynamic optimization. In addition, traditional water intake devices lack energy recovery design during operation, and the equipment has high energy consumption and insufficient economy.

[0007] In summary, the existing traditional fixed-depth water intake technology has significant deficiencies in terms of precise control of tailwater temperature, adaptability to complex hydrological conditions, and intelligent energy-saving design. There is an urgent need for a stratified water intake device and water temperature control system that can dynamically adjust the water intake layer, flexibly adapt to changes in the thermocline, and combine real-time monitoring and intelligent control. The present invention solves the core problems of traditional technical solutions through modular stacked beam doors, multi-hole collaborative operation, and AI algorithm optimization, providing advanced technical guarantees for the green and efficient operation of hydropower stations. Summary of the invention

[0008] The present invention aims to solve one of the technical problems existing in the prior art or related technology.

[0009] The present invention provides a water temperature intelligent control system and method for a hydropower station based on stratified water intake by stoplog gates, which can achieve precise control of the temperature of the downstream tailwater and ecological protection by dynamically adjusting the water intake depth, real-time monitoring of the water temperature distribution and intelligent control. The present invention includes the following contents:

[0010] The water temperature intelligent control system of the present invention includes the following modules:

[0011] Layered water intake device: It includes multiple modular stacked beam gates, which cover the target water layer area through opening and closing control to achieve water intake ratio adjustment of water bodies at different depths in the reservoir.

[0012] Water temperature monitoring system: used to monitor the water temperature distribution in front of the dam, tailwater and other water areas in real time, and provide data support for control strategies.

[0013] Data processing platform: Receive and analyze data transmitted by the water temperature monitoring system, generate thermocline characteristics and downstream water temperature change trends based on historical data, and provide accurate analysis results for subsequent operations.

[0014] Intelligent control module: Based on the analysis results of the data processing platform, the opening and closing strategies of the stratified water intake device are calculated through algorithm optimization, and specific operation instructions are generated and transmitted to the stratified water intake device.

[0015] Distributed intelligent monitoring network: By deploying multiple sensor nodes in the reservoir area, environmental data is collected in real time and transmitted to the data processing platform.

[0016] Working effect:

[0017] Through the coordinated cooperation of the stratified water intake device and the water temperature monitoring system, combined with the optimized control of the intelligent control module, the water intake layer can accurately cover the target water layer area, dynamically increase the discharged water temperature by 1.6℃ to 4℃ in summer and 0.8℃ to 2℃ in winter, and ensure the stability of the tail water temperature.

[0018] In a preferred example, the present invention can be further configured as follows: The stratified water intake device includes the following parts: Modular stacked beam doors: Each stacked beam door is composed of multiple modules, each section is 3 meters high, and the total height covers the depth range of 15-21 meters of the reservoir, and the target water layer is regulated by independent opening and closing. Portal opening and closing system: The stacked beam door is operated by hydraulic drive or electric winch, and the opening and closing accuracy of each section is ±10 cm. Energy recovery system: The potential energy or kinetic energy generated during the operation of the portal opening and closing system is converted into electrical energy to reduce operating energy consumption. Through modular design and precise opening and closing control, combined with energy recovery, energy-saving operation can be achieved, which effectively reduces system energy consumption and extends equipment life when dynamically regulating thermocline water bodies.

[0019] In a preferred example, the present invention can be further configured as follows: The water temperature monitoring system includes the following parts: Vertical temperature chain: arranged in the area in front of the dam, from the surface of the reservoir to a depth of 80 meters, a sensor is arranged every 1 meter, and sensors are arranged every 2 meters below 80 meters, to form a complete vertical water temperature distribution monitoring network. Tailwater temperature sensor: arranged in the areas on both sides of the tailwater outlet, used to monitor the downstream water temperature in real time. Distributed wireless sensor network: covers the water area in front of the dam and in the middle, and transmits real-time monitoring data to the data processing platform through wireless transmission technology.

[0020] Through real-time monitoring of the vertical temperature chain, tailwater temperature sensor and distributed wireless monitoring network, water temperature distribution data can be accurately obtained to ensure the scientific nature and flexibility of the control strategy.

[0021] In a preferred example, the present invention can be further configured as follows: The intelligent control module includes the following parts: AI algorithm module: combines historical data with real-time data to predict the trend of thermocline changes and calculate the optimal operation strategy. Optimization scheduling module: generates an opening and closing strategy based on the analysis results of the AI ​​algorithm module, including depth, frequency and coordination schemes. Feedback control unit: receives data feedback from the tailwater temperature sensor in real time, dynamically optimizes the control parameters, and realizes closed-loop optimization.

[0022] Through the optimization and feedback mechanism of the AI ​​algorithm module and feedback control unit, the water intake depth and proportion are dynamically adjusted to ensure the stability of the tail water temperature while reducing operational errors.

[0023] In a preferred example, the present invention can be further configured as follows: The method includes the following steps: Data acquisition: The water temperature and other environmental parameters in the dam front and tailwater areas are obtained through the water temperature monitoring system and the distributed intelligent monitoring network. Data analysis: Through the data processing platform, historical and real-time data are combined to analyze the characteristics and changing trends of the thermocline. Strategy generation: The intelligent control module calculates the optimal operation plan based on the data analysis results and uses the AI ​​algorithm module to generate an opening and closing strategy. Operation execution: According to the strategy generated by the intelligent control module, the stacking beam door is operated through the door machine opening and closing system to adjust the water intake depth and ratio. Real-time optimization: Feedback data is received through the feedback control unit, and the strategy is dynamically adjusted to ensure that the downstream water temperature meets the target requirements.

[0024] Through the five steps of closed-loop operation, combined with intelligent optimization and feedback control, the ability to accurately control the tailwater temperature is improved, significantly improving the system operation efficiency.

[0025] In a preferred example, the present invention can be further configured as follows: The algorithm for generating the strategy includes: Thermocline change prediction model: Analyze the distribution and dynamic changes of the thermocline through machine learning to predict its future trend. Multi-objective optimization model: Comprehensively consider the increase in tailwater temperature, energy consumption reduction and ecological needs to generate the optimal strategy.

[0026] Through the thermocline change prediction model and multi-objective optimization model, the optimal opening and closing strategy can be quickly generated under the dynamic change conditions of the thermocline, thereby improving the control response speed and accuracy.

[0027] In a preferred example, the present invention can be further configured as follows: the monitoring network supports dynamic adjustment of nodes: combining with drones or automated equipment, dynamically adjusting the positions of monitoring nodes, expanding coverage and improving data collection accuracy.

[0028] By dynamically adjusting the layout of monitoring nodes, the spatial representativeness and real-time performance of data can be improved, providing precise support for regulation under complex working conditions.

[0029] In a preferred example, the present invention can be further configured as follows: using a simulation platform in data analysis, rehearsing historical scenarios multiple times, and optimizing control strategies under different seasons and hydrological conditions.

[0030] The effectiveness of the strategy is verified through simulation, and the adaptability and reliability of the system in different seasons and complex working conditions are improved.

[0031] The present invention realizes precise control of tailwater temperature and ecological protection through the efficient collaboration of the stratified water intake device, water temperature monitoring system and intelligent control module, combined with AI algorithm and real-time feedback, providing an innovative solution for the efficient operation of the hydropower station.

[0032] The beneficial effects achieved by the present invention are:

[0033] 1. In the present invention, through the dynamic adjustment mechanism of the modular stacked beam gate and the precise water intake strategy of the thermocline, the present invention can respond to the changes in the water temperature distribution in front of the dam in real time to ensure that the water intake layer covers the target water area. Combined with the AI ​​algorithm optimization in the intelligent control module, the stacked beam gate opening and closing strategy is dynamically generated to achieve precise control of the tailwater temperature. The system effectively improves the summer discharge water temperature (1.6℃ to 4℃) and the winter discharge water temperature (0.8℃ to 2℃), significantly reducing the adverse effects of low temperature water on the downstream ecology, while ensuring the stable operation of the hydropower station.

[0034] 2. In the present invention, the multi-porous cooperative operation mechanism in the stratified water intake device is combined with the global real-time monitoring capability of the water temperature monitoring system, so that the system can flexibly adapt to seasonal water temperature changes, water level fluctuations in front of the dam and dynamic changes in the thermocline. Whether under rapid fluctuations in reservoir water levels or extreme weather conditions, the present invention can balance water temperature requirements through multi-porous stratified control, ensure the uniformity and stability of the downstream water temperature, and provide support for power generation efficiency under different working conditions.

[0035] 3. In the present invention, the closed-loop feedback mechanism of the intelligent control module is combined with the in-depth analysis of historical data and real-time monitoring data to dynamically optimize the operating frequency and height of the stoplog gate, thereby improving the intelligence level of the system. At the same time, the introduction of the distributed wireless monitoring network and energy recovery system reduces the operating energy consumption of the monitoring equipment and realizes efficient energy recovery during the operation of the stoplog gate. The overall design takes into account both ecological protection and economy, providing an important guarantee for the green operation of the hydropower station. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of the system structure of an embodiment of the present invention;

[0037] Figure 2 The figure is a schematic diagram of a method flow of an embodiment of the present invention. DETAILED DESCRIPTION

[0038] To make the purpose, technical solution and advantages of the present invention more clear, the present invention is further described in detail below in combination with specific implementations and with reference to the accompanying drawings. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

[0039] It is to be understood that these descriptions are exemplary only and are not intended to limit the scope of the invention.

[0040] A system and method for intelligently controlling water temperature in a hydropower station based on stratified water intake with stoplog gates will be described below in conjunction with the accompanying drawings, provided by some embodiments of the present invention.

[0041] Combination Figure 1-Figure 2As shown, the present invention provides a water temperature intelligent control system and method for a hydropower station based on stratified water intake with stoplog gates.

[0042] 1. A stratified water intake device, comprising:

[0043] Composition of the stopgate: Multi-section modular structure: Each stopgate consists of 20 modules, each section is 3 meters high, and the total height covers the vertical range of the reservoir, from the bottom plate to the target water layer of 15-21 meters. The gate top water depth is adjustable: The gate top height is controlled between 15 meters and 21 meters to ensure that the water body of the target water layer is taken first and the downstream water temperature is increased.

[0044] Hole layout: The water holes are distributed from the bottom plate to the top of the water inlet. Each hole is equipped with an independent stopcock to support stratified control and adapt to the dynamic changes of the reservoir's thermocline. The six-hole design is evenly distributed at different locations in the reservoir to ensure the flexibility and uniformity of stratified water intake.

[0045] Opening and closing system: hydraulic drive or electric winch opening and closing system is adopted to ensure accurate and smooth operation. Each section of the stopgate can be controlled individually, and the opening and closing adjustment accuracy reaches ±10 cm, which meets the dynamic control requirements of the thermocline. During the lifting or lowering of the stopgate, potential energy or kinetic energy recovery technology is used to convert part of the operating energy into electrical energy, reducing the operating cost of the equipment.

[0046] 1. Features

[0047] Dynamic stratified water intake: According to the changes in the thermocline in front of the dam, the opening and closing height of the stacked beam gate is dynamically adjusted to ensure that the water intake layer covers the target water area and achieve precise control of the downstream water temperature.

[0048] Multi-hole coordinated operation: The hole stacked beam gates can be operated individually or in coordination to adjust the water intake ratio of water bodies at different depths to meet the regulation needs under complex hydrological conditions.

[0049] Thermocline protection: Prioritize the use of thermocline water bodies to avoid excessive use of bottom low-temperature water or surface high-temperature water, and ensure the stability and ecological adaptability of the downstream water temperature.

[0050] 2. Operation mode

[0051] Adjustment of gate top height: When the high position drops: lift the stopper gate section by section, 3 meters each time, to ensure that the water depth at the gate top is maintained within the target range. When the water level rises: lower the stopper gate section by section to avoid excessive use of high-temperature surface water.

[0052] When the water level is lower than 715 meters: lift the first stopgate to the top height of 703 meters; when the water level is higher than 725 meters: all stopgates are lowered to the initial position to form a full-layer water intake mode. The vertical water temperature data in front of the dam is updated every 6 hours, and the stopgate operation strategy is adjusted according to the real-time analysis results to ensure a rapid response to the dynamic changes of the thermocline.

[0053] 3. Operation effect

[0054] Downstream water temperature regulation: Measurement data show that through the regulation of the stratified water intake device, the downstream tail water temperature can be increased by 1.6℃ to 4℃ in summer and 0.8℃ to 2℃ in winter, significantly reducing the impact of low temperature water on the downstream ecology.

[0055] Optimization effect: Compared with the fixed-depth water intake method, the stratified water intake device significantly improves the accuracy and flexibility of tailwater temperature control, especially during periods of large water level fluctuations, and can effectively cope with complex hydrological conditions.

[0056] 2. Water temperature monitoring system, including:

[0057] Vertical temperature chain in front of the dam: The range is set from the surface of the reservoir to a depth of 80 meters, with a sensor arranged every 1 meter, and a sensor arranged every 2 meters below 80 meters, to form a complete vertical water temperature distribution monitoring network.

[0058] Tailwater temperature sensor: High-precision temperature probes are installed on the left and right banks of the tailwater, with an installation depth of 0.5 meters underwater, for real-time monitoring of tailwater temperature changes.

[0059] Distributed wireless monitoring nodes: In front of the dam, in the middle water area and in the tailwater area, real-time collection of multi-parameter environmental data such as water temperature, flow rate, dissolved oxygen, etc.; low-power wireless communication technology is used to ensure real-time data transmission and low-energy operation of the system.

[0060] Power supply system: equipped with solar cells and backup batteries to ensure the continuous operation of the monitoring equipment in harsh environments.

[0061] Data analysis and application

[0062] Water temperature gradient calculation: Based on the vertical temperature chain monitoring data in front of the dam, the water temperature gradient at each water depth is calculated to generate the thermocline characteristic curve. The data shows that the water temperature below 40 meters changes less than 0.5℃ throughout the year.

[0063] Analysis of thermocline changes: The thermocline changes dynamically with the seasons and reservoir operation conditions:

[0064] Summer (August): The thermocline is located at a depth of 17-23 meters and is 5-6 meters thick;

[0065] Winter (December): The thermocline drops to 30-40 meters and the thickness decreases to 2-3 meters.

[0066] Tail water temperature response: Under the operating conditions of the stratified water intake device, the tail water temperature increases significantly:

[0067] When the top elevation of the stoplog gate is 703 meters: the tailwater temperature increases by 1.6℃ to 2.2℃;

[0068] When the stacked beam doors are fully opened (35 meters): the tail water temperature rises to a maximum of 4°C.

[0069] 3. Intelligent control module, including:

[0070] Data processing unit: Receives and processes data transmitted by the vertical temperature chain in front of the dam, tailwater temperature sensor and distributed wireless sensor nodes, and generates control strategies based on historical records.

[0071] Algorithm optimization module: Through machine learning algorithms and multivariate regression analysis, the trend of thermocline changes is predicted and the optimization control scheme of the stacked beam door is generated.

[0072] Control command unit: sends control commands to the stratified water intake device to adjust the opening and closing height and operating frequency of the stoplog gate.

[0073] Operation process

[0074] S1: Data collection: The intelligent control module receives the monitoring data of the dam front and tailwater areas in real time, with a monitoring frequency of once per hour.

[0075] S2: Strategy generation: Combine monitoring data and historical records to generate a stoplog door opening and closing strategy, including operation frequency and target depth.

[0076] S3: Real-time feedback and optimization: Dynamically adjust operating parameters based on tailwater temperature sensor data to ensure that the downstream water temperature always meets the target requirements.

[0077] Among them, in the above embodiments, the use of the following devices is not unique:

[0078] Modular stacked beam doors: optional XYZ-3000 hydraulic system (supports precise opening and closing operations, with a control accuracy of ±10 cm, adapting to the dynamic changes of the thermocline), kinetic energy recovery module (PoG-800 generator: recovers operating energy through potential energy conversion technology, significantly reducing operating energy consumption).

[0079] High-precision monitoring equipment: such as ZDR-500 temperature sensor (accuracy up to ±0.2℃, can form a vertical water temperature distribution monitoring network), TidbiT v2 temperature probe (easy to install, accuracy up to ±0.1℃, suitable for dynamic feedback needs), NODE-200 wireless sensor node (low power design, support for real-time monitoring of multiple parameters).

[0080] Intelligent processing and control: DPU-900 data processing unit (efficient data processing capability, supports large-scale monitoring data analysis), CTR-500 control unit (supports precise on / off control of stratified water intake devices), combined with TensorFlow / PyTorch to achieve intelligent regulation (suitable for the development and deployment of machine learning models, supports dynamic prediction of thermocline).

[0081] These devices have a high level of maturity in the technology field and can effectively support the innovative functions of the system.

[0082] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "specific embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0083] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. An intelligent water temperature control system for a hydropower station based on stratified water intake by stoplog gates, characterized in that: Includes the following modules: Stratified water intake device: used to adjust the water intake ratio of water bodies at different depths of the reservoir. Its structure includes multiple modular stopcocks, which are combined with the opening and closing system to achieve dynamic regulation of the target water body in the thermocline; Water temperature monitoring system: used to obtain real-time data on water temperature distribution and dynamic changes in different areas of the dam, tailwater and reservoir; Data processing platform: Receive and analyze the monitoring data of the water temperature monitoring system, and generate the characteristics of the thermocline and the trend of downstream water temperature changes based on historical data; Intelligent control module: Based on the analysis results of the data processing platform, the AI ​​algorithm dynamically calculates the stoplog door operation strategy and sends instructions to the stratified water intake device to adjust the opening and closing frequency and height of the stoplog door; Distributed intelligent monitoring network: Wireless sensor nodes arranged in different areas of the reservoir cooperate with the water temperature monitoring system to obtain multi-parameter environmental data and transmit the data to the data processing platform in real time.

2. The system of claim 1, wherein: The stratified water intake device comprises: Modular stoplog gates: Each stoplog gate is composed of multiple modules, each section is 3 meters high, and the total height covers a vertical range of 730 meters in the reservoir, from the bottom plate to the 15-21 meter area of ​​the target water layer; Door opening and closing system: hydraulic drive or electric winch opening and closing system is adopted. Each section of the stopcock door can be controlled individually, and the opening and closing accuracy reaches ±10 cm; Energy recovery system: The potential energy or kinetic energy during the lifting or lowering of the stoplog door is converted into electrical energy to reduce operating energy consumption and improve system economy.

3. The system of claim 1, wherein: The water temperature monitoring system comprises: Vertical temperature chain in front of the dam: arranged in front of the dam, from the surface of the reservoir to a depth of 80 meters, a high-precision temperature sensor is arranged every 1 or 2 meters to form a vertical temperature distribution monitoring network; Tailwater temperature sensor: arranged in the left and right bank areas of the tailwater outlet to monitor the temperature changes of the tailwater in real time; Distributed wireless sensor network: multiple sensor nodes are deployed in front of the dam, in the middle water area and in the tailwater area to transmit monitoring data to the data processing platform in real time.

4. The system of claim 1, wherein: The intelligent control module comprises: AI algorithm module, used to combine historical data and real-time monitoring data to analyze the trend of thermocline changes and predict the downstream water temperature response; The optimization scheduling module generates the opening and closing strategies of the stratified water intake device based on the AI ​​analysis results, including the opening and closing depth, operation frequency and multi-hole coordination scheme; The feedback control unit adjusts the strategy parameters according to the control effect data monitored in real time by the tailwater temperature sensor to achieve closed-loop optimization.

5. The water temperature intelligent control method based on the system described in claims 1 to 4 is characterized in that: The following steps are involved: S1: Data collection: Obtain water temperature data and other environmental parameters in front of the dam, tailwater and other waters through the water temperature monitoring system and distributed intelligent monitoring network; S2: Data analysis: Combine historical data with real-time data on the data processing platform to calculate the characteristic parameters of the thermocline and the changing trend of the downstream water temperature; S3: Strategy generation: The intelligent control module uses AI algorithms to predict the optimal operation plan based on the data analysis results and generates the start and stop strategy of the stratified water intake device; S4: Operation execution: Send the operation strategy to the stratified water intake device to adjust the height, opening and closing frequency and operation mode of the stoplog door; S5: Real-time optimization: Update the control plan through feedback data and continuously adjust the operating parameters of the stoplog gates to ensure that the downstream water temperature meets the target requirements.

6. The method according to claim 5, characterized in that The AI ​​algorithms used in the strategy generation step include: The thermocline change prediction model uses machine learning to analyze historical water temperature distribution data and current monitoring data to predict the dynamic changes of the thermocline. The multi-objective optimization model comprehensively considers the trade-off between increasing the downstream water temperature, reducing equipment energy consumption and ecological needs to generate a stacked beam gate operation plan.

7. The method according to claim 5, characterized in that The monitoring network supports dynamic adjustment of nodes, and combines unmanned aerial vehicles or automated underwater robots to move and deploy sensors, thereby expanding the monitoring range and improving the accuracy of data collection.

8. The method according to claim 5, characterized in that A simulation platform is used in the data analysis step to optimize the regulation strategies under different seasons and hydrological conditions and verify their effectiveness through multiple previews of historical scenarios.

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