Technical water supply intelligent regulation and control system for energy-saving pumped storage power station

Abstract

The invention discloses a technical water supply intelligent regulation and control system for an energy-saving pumped storage power station. The system comprises a real-time monitoring module, a data analysis module, a scheduling control module and a data interaction module. The method is mainly characterized in that hydraulic model calculation is carried out by adopting seasonal multi-modes considering reality, and the calculation is mainly divided into summer amp; large flow condition and winter amp; the flow is small. Wherein for winter amp; the small-flow condition is to keep the opening of each valve unchanged and adjust the rotating speed of the water pump. Amp in summer; under the condition of large flow, the rotating speed of the water pump is adjusted to be maximum, and water distribution of all pipelines is achieved by adjusting the opening degree of the valve. The water supply system has the advantages that a proper adjusting mode can be selected according to different conditions, so that energy conservation and emission reduction are realized, and the efficiency of the water supply system is improved.

Description

Technical Field

[0001] The invention relates to the field of technical water supply systems for power stations, and in particular to an energy-saving pumped-storage power station technical water supply intelligent control system. Background Art

[0002] In order to strive to achieve carbon neutrality and carbon peak goals, existing science and technology actively develops clean energy such as solar energy, hydropower, nuclear energy, wind energy and tidal energy to gradually replace fossil energy, and on the other hand promotes industrial transformation to save energy and reduce emissions. However, while pumped storage power stations can produce clean energy, they are also accompanied by energy consumption, one of the main energy consumption of which is its technical water supply system.

[0003] The water supply of a pumped storage power station is mainly to provide cooling water to the generator set and its auxiliary equipment. The equipment involved includes generator air coolers, unit water-cooled air compressors, generator thrust bearings and guide bearings, main shaft seal cooling water, governor oil tank coolers, etc. The technical water supply system of the power station ensures the safe operation of the power station production process. Due to the lack of scientific and effective theoretical guidance and the low degree of digitalization and intelligence of operation and maintenance, in order to meet production needs, the power station often blindly improves the cooling performance of the system, causing the circulating cooling water system to operate at high load, resulting in a large amount of energy waste. The refined regulation of water volume is the premise of energy conservation, emission reduction and water safety. At present, most power stations use saturated water supply, without considering the differences in water demand of each water user, and the power of the water supply pump is also adjusted to the maximum.

[0004] Based on the above situation, the present invention proposes an energy-saving pumped storage power station technical water supply intelligent control system to effectively solve the above problems. Summary of the invention

[0005] In order to solve the problems existing in the background technology, the present invention provides an energy-saving pumped storage power station technical water supply intelligent control system.

[0006] The present invention adopts the following technical solution:

[0007] An energy-saving pumped storage power station technical water supply intelligent control system, including intelligent monitoring module, data analysis module, dispatching control module, data interaction module,

[0008] At the same time, all data are uploaded to the database;

[0009] The data analysis module uses the data collected from the technical water supply system in typical years to train the deep learning model, and obtains the mapping relationship between the index data of the water system of the technical water supply system and the index data of the pumped storage unit and the cooling water volume required by each water-using equipment. It also obtains the flow required by each water-using equipment based on the partial data collected in real time as input, and provides the target adjustment amount for the dispatching control module.

[0010] The dispatch control module includes a hydraulic calculation unit and a dispatch optimization unit, wherein the hydraulic calculation unit establishes a pipeline loss model according to the branch pipelines where each water-using equipment in the technical water supply system is located and the equipment on the pipeline, and iteratively solves the flow rate obtained. The flow rate is used as the call calculation part of the dispatch optimization unit. The dispatch optimization unit selects different control modes according to actual conditions and user needs. The system is divided according to seasons and selected according to the relationship between the total flow rate required by the water-using equipment and the set threshold value.

[0011] The data interaction module consists of a storage unit and a human-computer interaction unit. The storage unit is used to store and organize the data collected by the technical water supply system, and store the operation log generated by the control results. The human-computer interaction unit is used to retrieve the data from the storage unit and visualize the data.

[0012] Further: the system monitoring module collects water supply system equipment and pipeline information data, as well as some information from the pumped storage unit, at a set time interval as the sampling frequency.

[0013] Further: The numerical control analysis module is based on each water-using equipment to perform deep learning to obtain the mapping relationship of the required flow rate of the indicator, and the system acquisition module collects the indicators and inputs them into the system to obtain the cooling water flow rate Q required by each water-using equipment. i need .

[0014] Further: The hydraulic calculation unit of the dispatching control module is used to establish a technical water supply system pipe network model and a variable frequency pump model and solve the parameter calculations therein:

[0015] Pipeline network model of the technical water supply system: The hydraulic loss model of the pipeline is established based on each node pipe section and pipeline equipment of the pumped storage power station technical water supply system, and the flow distribution ratio of the branch pipeline is obtained. Then, the hydraulic loss of the technical water supply main pipeline of the water supply system is calculated, and the hydraulic loss of the branch pipeline where each water-using equipment is located is combined to obtain the overall pipeline network characteristic curve;

[0016] Variable frequency pump model: According to the pump characteristic curve, the flow-efficiency (Q-η) curve and flow-head (QH) curve of the pump at different speeds are obtained, and the speed ratio-motor efficiency (k-η) curve is established for the motor part. e) and the inverter speed ratio-inverter efficiency (k-η b ) curve model.

[0017] Further: The hydraulic calculation unit technology water supply system pipe network model construction includes various hydraulic losses of each pipe, and its specific modeling and solving process is as follows:

[0018] S1. First, the technical water supply system network model constructs various hydraulic loss calculation models and then constructs the entire network model. Models are built for various hydraulic resistances, including:

[0019] S1a, along-the-line resistance model: When the fluid flows in the pipe, the viscous friction between the fluid and the pipe wall forms resistance to the movement, causing energy loss, recorded as h f The present invention adopts the Hazen-Williams formula to calculate the hydraulic loss along the way, and its expression is:

[0020]

[0021] Where Q is the flow rate, m 3 / h; d is the pipe diameter, unit is m; L is the pipe length, unit is m; f is the friction coefficient; m is the flow index, which is taken as 2 in the present invention; b is the pipe diameter index.

[0022] S1b, local resistance model: When the fluid encounters local resistance during movement, the fluid generates vortex motion, dissipating part of the fluid mechanical energy, which is expressed as velocity head:

[0023]

[0024] Where A is the cross-sectional area of ​​the pipeline, g is the acceleration due to gravity, which is 9.81 m / s 2 , Q is the flow rate, m 3 / h, ζ can be determined by empirical formula and actual situation of power station;

[0025] S1c, valve local resistance model: the valve resistance coefficient can be defined as:

[0026]

[0027] Where h k is the valve hydraulic loss, m; ρ is the water density, kg / m 3 ; g is the acceleration due to gravity m / s -2 ;

[0028] Reference fitting formula for valve local resistance coefficient:

[0029] S = A × exp (-K / t) + C;

[0030] Where K is the valve opening, °; A, t, and C are unknown constants.

[0031] S2. Then establish the overall pipe network model according to different resistance models:

[0032] Calculate the total hydraulic loss of the main pipeline of the water supply system. The main water supply pipeline resistance mainly considers the resistance along the pipeline and the local resistance:

[0033]

[0034] U main =h main / Q total 2 ;

[0035] Where h main is the total hydraulic loss of the main pipeline of the technical water supply system; main is the friction coefficient of the main pipeline; d main is the main pipe diameter main is the local resistance coefficient of the main pipeline; A main is the cross-sectional area of ​​the main pipeline, in m 2 ;Q total is the total water volume in the pipeline, m 3 / h; U main is the resistance coefficient of the main pipeline;

[0036] Secondly, calculate the overall hydraulic loss of each branch pipeline where the water-using equipment is located. The total hydraulic loss of each branch pipeline is the sum of the resistance along the way, the local resistance of the elbow, the local resistance of the valve, and the local resistance of the water-using equipment:

[0037]

[0038] Where h i is the total hydraulic loss of the branch pipeline where the i-th water-using equipment in the technical water supply system is located; h f i is the hydraulic loss along the branch pipeline where the i-th water-using equipment is located; h j i is the local hydraulic loss of the branch pipeline where the i-th water-using equipment is located; h k i is the hydraulic loss of the electric valve of the branch pipeline where the i-th water-using equipment is located; f i The friction coefficient of the branch pipeline where the i-th water-using equipment is located; d i is the diameter of the branch pipe where the i-th water-using equipment is located, in meters; ζ i is the local resistance coefficient of the branch pipeline where the i-th water-using equipment is located; A i The cross-sectional area of ​​the branch pipe where the i-th water-using equipment is located, in m 2 ;Qi is the total water volume in the pipeline, m 3 / h; ρ is water density, unit: kg / m 3 ; S i is the resistance characteristic number of the valve of the branch pipeline where the i-th water-using equipment is located;

[0039] After that, the proportion of water allocated to each branch pipe can be determined according to the resistance of the branch pipe, and the calculation method is:

[0040]

[0041]

[0042] Where U i is the resistance coefficient of the valve of the branch pipeline where the i-th water-using equipment is located, Φ i is the ratio of the flow rate of the branch pipeline where the i-th water-using equipment is located.

[0043] Finally, the characteristic curve of the pipe network is obtained. Since water needs to have a certain amount of energy to reach the water-using equipment through the pipe network, it must overcome the hydraulic loss of the pipeline, the upstream and downstream water level difference, and the upstream and downstream water surface pressure difference. When the water energy is balanced with these three energies, the pipe network can operate stably. These three parts of energy can be expressed as follows:

[0044]

[0045]

[0046] S t =U main +U dis ;

[0047] In the formula, H G is the total head required by the water supply system, in m, Q is the total flow rate currently required by the pipe network, in m 3 / h; S t is the tube resistance coefficient, unit is h 2 / m 2 ;H st is the hydrostatic pressure, unit is m; U dis is all points; λ is the pipe network resistance index coefficient, which is 2.

[0048] Further: It is characterized in that the variable frequency pump model in the hydraulic calculation unit includes the characteristic curve flow-efficiency (Q-η) curve and flow-head (QH) curve of the water pump, and its specific modeling process: the performance curve at different pump frequency conversions can be expressed as:

[0049]

[0050]

[0051] H=a 1 Q 2 +a 2 Q 3 k 2 ;

[0052] Where H is the pump head; Q is the total flow rate of the pump, m 3 / h; η is the pump efficiency; k is the defined speed ratio; n 0 is the rated speed; n is the running speed of the pump; a 1 ,a 2 ,a 3 b is the pump flow-lift curve parameter obtained by fitting; 1 ,b 2 ,b 3 is the flow-efficiency curve of the pump;

[0053] Then solve the motor efficiency and inverter efficiency according to the speed ratio:

[0054] η m =0.94187×(1-e -9.04k );

[0055] η v =0.5087+1.283k-1.42k 2 +0.5834k 3 ;

[0056] Where η m is the motor efficiency; η v is the motor efficiency; k is the defined speed ratio; e is the natural index;

[0057] Then, according to the pump flow-lift characteristic curve and the pipe network characteristic curve, an equation relationship is established to solve the total power efficiency:

[0058]

[0059] N=ρgH w Q w ηη m η v ;

[0060] Where H w is the working head of the water pump; Qw is the working flow rate of the water pump, m 3 / h;Φ i is the allocation ratio of the i-th water-using equipment; ρ is the water density, in kg / m 3 ; g is the acceleration due to gravity m / s -2 .

[0061] Further: The winter & small flow mode adjustment method in the dispatch optimization unit system of the dispatch control module is to keep the valve opening of each water-using equipment unchanged and optimize the water pump speed. The specific dispatch optimization model and optimization solution are as follows: S1. Calculate the difference between the target demand flow and the current flow:

[0062]

[0063] Where dQ i is the difference between the required flow and the current flow; Q i need is the cooling water flow required by the i-th user equipment; Q i current is the current cooling water flow of the i-th user;

[0064] S2. Calculate the water flow rate that needs to be increased in the total pipeline based on the current water distribution ratio of each branch pipeline network and select the maximum value:

[0065]

[0066]

[0067] Where Q i increase The additional flow rate of the total pipeline required for the i-th water-using equipment; Φ i current The flow distribution ratio of the branch pipeline where the i-th water-using equipment is located is obtained based on the hydraulic model; Q m increase For all Q i increase Maximum value.

[0068] S3. Calculate the water volume adjusted by the water pump. The calculation method is:

[0069]

[0070] Where Q Z is the target regulating flow rate of the pump, k a The safety factor is 1.1 to 1.2;

[0071] S4. Solve the speed of the target water pump:

[0072]

[0073] Where n t is the target speed.

[0074] Further: the dispatch optimization unit system of the dispatch control module has multiple objectives in the summer and large flow modes, including the minimum sum of the difference between the working flow and the demand flow of each water-using equipment pipeline and the minimum total power. The minimum objective function is simplified to a single objective by weighted sum; after setting the water pump speed n to the rated speed, the electric valve opening K of each pipeline pair and the branch where each water-using equipment is located is i Parameter optimization is performed, and its specific scheduling optimization model and optimization solution are as follows:

[0075] Take total power consumption and minimum as the objective function:

[0076]

[0077] Where N z The total power consumption of the water pump is calculated by referring to formula (19); Q i need is the cooling water flow required by the i-th user equipment; Q i w Calculate the optimized flow for the i-th user device; {w 1 ,w 2} is the multi-objective parameter weight.

[0078] Constraints:

[0079] Speed ​​constraint:

[0080] n=n 0 ;

[0081] Lift Constraints:

[0082] a 1 Q t 2 +a 2 QUR t +a 3 k 2 ≥H st +S t Q t 2 ;

[0083] Flow constraints of branch lines:

[0084] Q i max ≥Q i w ≥Q i need ;

[0085] Pressure constraints:

[0086]

[0087] Total flow constraint:

[0088] Q t max ≥Q t ≥Q t f ;

[0089] Where n is the speed 0 is the rated speed; Q i max is the maximum flow rate allowed in the pipeline where the i-th water-using equipment is located; Q i need is the cooling water flow required by the i-th user equipment; Q t is the calculated total pipeline flow; Q is the total flow threshold of the pipeline in winter & small flow and summer & large flow modes; t max is the maximum flow allowed in the total pipeline; P j max is the maximum pressure value that the j-th node pipeline can withstand; P j min is the minimum pressure value for safe operation of the j-th node pipeline; P j is the pressure value of the jth node pipeline; Q i w The flow rate calculated from the pipeline where the i-th water-using device is located;

[0090] Further: The system implementation steps are as follows:

[0091] Step 1: On-site terminal equipment inspection and system startup phase:

[0092] Inspect, calibrate and debug the terminal equipment involved in each module of the technical water supply dispatching and control system of the pumped storage power station, including debugging and checking the intelligent monitoring module in the control center of the pumped storage power station and the information interaction system of the technical water supply system monitoring equipment, inspect and debug the control equipment involved in the dispatching control module, set relevant parameters and preliminarily build the built-in models of the data analysis module, the hydraulic calculation unit in the dispatching control module and the dispatching optimization unit, debug and check the interaction between the information and data interaction module of the dispatching control module and the communication station network of the intelligent monitoring module; pre-start after completing the inspection and debugging of all terminal equipment. If the system prompts that the operating status of the terminal equipment does not meet the specifications, the system will check again and reset the parameters until the startup conditions are met;

[0093] Step 2: Information collection and operation data monitoring:

[0094] After the system is started, the intelligent monitoring module automatically collects information and measures data from various sensors on the pumped storage power station control center and technical water supply system equipment and pipelines, and uploads the information collected by each part to the storage unit of the data interaction module in real time to complete the collection of historical data of typical years. During the operation of the system, when the collected pipeline pressure is higher than the set maximum value or the water temperature at the water intake is higher than the set safety temperature, prompts and alarms are given in time at this stage to provide the actual location of the power station where the problem is located to the power station operation and maintenance personnel, and make a judgment on whether to shut down for adjustment;

[0095] Step 3: Data analysis and target flow determination:

[0096] The data of the intelligent monitoring module is preprocessed and normalized, and new eigenvalues ​​are extracted to obtain a set of eigenvalues ​​as input. The input is used to obtain the mapping relationship between the index data of the technical water supply system and the index data of the pumped storage unit trained by the deep learning model based on the historical data of typical years and the cooling water required by each water-using equipment to obtain the required flow of each water equipment. This part of the data set is transmitted to the dispatching control module as the target parameter and uploaded to the storage unit of the data interaction module for backup.

[0097] Step 4: Determine and calculate the scheduling control model:

[0098] The overall flow is calculated based on the demand flow of each water device obtained by the data analysis module. The mode selection is made according to the seasonal conditions and the total demand flow. After the specific control optimization mode is selected, the system calls the model for calculation and generates a dispatch instruction based on the calculation result. Then the electric valves of the relevant pipeline equipment are adjusted to the corresponding opening and the water pump is adjusted to the corresponding speed.

[0099] Step 5: Dynamic data update and analysis:

[0100] After the system executes step 4, the system's intelligent monitoring module, data analysis module, and dispatch control module update and analyze the data;

[0101] Step 6: Repeat steps 2 to 5 throughout the system startup period.

[0102] The present invention provides an energy-saving pumped-storage power station technical water supply intelligent control system: the system realizes the relationship between the flow required by data such as the unit load condition, the water temperature of the technical water supply system, the temperature of each water-using equipment, etc., and while ensuring the safety of water supply, takes into account the differences in control methods caused by the different total flow requirements of water-using equipment in different seasons. Based on the hydraulic model of the technical water supply system pipeline, the pumps and valves of the technical water supply system are optimized and dispatched to meet the flow requirements of each water-using equipment; the appropriate adjustment mode can be selected according to different situations, thereby achieving energy conservation and emission reduction and improving the efficiency of the water supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0103] Figure 1 It is a system module diagram of the present invention;

[0104] Figure 2 The present invention is a system diagram for determining the control process according to seasonality and water demand. DETAILED DESCRIPTION

[0105] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0106] Refer to the attached Figure 1 , considering the energy-saving pumped storage power station technology water supply intelligent control system, including intelligent monitoring module, data analysis module, dispatching control module, data interaction module, among which:

[0107] The intelligent monitoring module is used to automatically obtain relevant information of the technical water supply system equipment, pipeline network information and pumped-storage units at the power station level in real time. It collects information by interacting with the pumped-storage power station control center and receiving data transmission signals from sensors and equipment installed in the technical water supply system. At the same time, various data are uploaded to the database to provide training data support for the data analysis system to improve the module and also provide information support for other modules.

[0108] The data analysis module uses the data collected from the technical water supply system in typical years to train the deep learning model, and obtains the mapping relationship between the index data of the water system of the technical water supply system and the index data of the pumped storage unit and the cooling water volume required by each water-using equipment. It also obtains the flow required by each water-using equipment based on the partial data collected in real time as input, and provides the target adjustment amount for the dispatching control module.

[0109] The dispatching control module includes a hydraulic calculation unit and a dispatching optimization unit. The hydraulic calculation unit establishes a pipeline loss model according to the branch pipelines where each water-using equipment in the technical water supply system is located and the equipment on the pipeline, and iteratively solves the flow (and pressure) obtained, which is the call calculation part of the dispatching optimization unit. The dispatching optimization unit selects different control modes according to actual conditions and user needs. The system selects the winter & small flow mode dispatching control mode in December-February according to the season division, and the summer & large flow mode in May-August. In addition, the remaining time periods are selected according to the relationship between the total flow of water-using equipment demand and the set threshold. If the total flow of the overall water-using equipment demand is greater than the threshold, the summer & large flow mode is selected, otherwise the winter & small flow mode is selected, and the boundaries are defined as the time to meet the annual quarter in December-February. In the winter & large flow mode, the pump valve joint control mode and the monotonic pump mode can also be selected manually. According to different modes, the system selects the corresponding dispatching optimization model, and then optimizes the parameters of the variable frequency pump speed and the electric valve opening of each water-using equipment pipeline.

[0110] The data interaction module consists of a storage unit and a human-computer interaction unit. The storage unit is used to store and organize the data collected by the technical water supply system, and store the operation logs generated by the control results. It is an important part of the data source for the subsequent development of the system. The human-computer interaction unit retrieves and visualizes the data uploaded to the storage unit by the intelligent monitoring module and the dispatching control module according to the needs of the monitoring personnel, and can also transfer the manually selected results to the dispatching control module according to the mode in the dispatching control module.

[0111] The numerical control analysis module performs deep learning on each water-using equipment to obtain the mapping relationship between the water-using equipment temperature, the temperature of the pumped-storage unit, the water temperature of the technical water supply intake, and the flow required by other indicator inputs. This part of the training data comes from the indicator data set sampled in a typical year of the pumped-storage power station, and the optimized and trained deep learning is embedded in the data analysis system as the core calculation part. According to the water-using equipment temperature, pumped-storage unit temperature, technical water supply intake water temperature, and other indicator inputs collected by the system acquisition module, the cooling water flow Q required by each water-using equipment is obtained. i need .

[0112] The system monitoring module uses a sampling frequency of 10-minute intervals. The collected data is mainly divided into two parts. One part is the water supply system equipment and pipeline information data, which includes the temperature of each technical water supply system water-using equipment and the hydraulic information of the water supply pipeline. The water-using equipment of the technical water supply system includes the generator / motor air cooler, thrust lower guide bearing cooler, upper guide bearing cooler, upper / lower labyrinth ring, water guide bearing cooler, governor oil tank cooler, upper guide bearing cooler, main shaft seal, governor oil tank cooler, and main transformer. The hydraulic information of the technical water supply pipeline includes the flow and pressure of the branch pipelines where the water-using equipment of each technical water supply system is located, the opening of the electric valves of each branch pipeline, the speed and power of the technical water supply pump, the cooling water flow and pressure of the total pipeline of the technical water supply system, and the water temperature of the water intake of the technical water supply system. The other part of the data comes from some information of the pumped storage unit, including the power / load of the pumped storage unit and the water level of the upper / lower reservoir. The data collected by the system module is uploaded to the storage unit of the data interaction module for backup.

[0113] The hydraulic calculation unit in the dispatching and control module is mainly used to establish the technical water supply system network model and the variable frequency pump model and solve the parameter calculations therein. The technical water supply system network model is based on the various node pipe sections and pipeline equipment of the pumped storage power station technical water supply system to establish the pipeline hydraulic loss model and obtain the flow distribution ratio of the branch pipeline. The hydraulic loss involved mainly comes from two parts: along-the-line resistance and local resistance. The local resistance comes from the hydraulic loss caused by valves, elbows, diffusers, and water-using equipment. The along-the-line resistance comes from the loss caused by overcoming the viscous force during the flow of the technical water supply pipeline. Then calculate the hydraulic loss related to the technical water supply main pipeline of the water supply system and combine the hydraulic loss of the branch pipeline where each water-using equipment is located to obtain the overall network characteristic curve. The variable frequency pump model is based on the pump characteristic curve to obtain the flow-efficiency (Q-η) curve and flow-head (QH) curve of the water pump at different speeds. And establish the speed ratio-motor efficiency (k-η) for the motor part. e ) and the inverter speed ratio-inverter efficiency (k-η b ) curve model.

[0114] The specific modeling and solution process:

[0115] S1. First, the technical water supply system network model constructs various hydraulic loss calculation models and then constructs the entire network model. Models are built for various hydraulic resistances, including:

[0116] S1a, along-the-line resistance model: When the fluid flows in the pipe, the viscous friction between the fluid and the pipe wall forms resistance to the movement, causing energy loss, recorded as h fThe present invention adopts the Hazen-Williams formula to calculate the hydraulic loss along the way, and its expression is:

[0117]

[0118] Where Q is the flow rate, m 3 / h; d is the pipe diameter, unit is m; L is the pipe length, unit is m; f is the friction coefficient; m is the flow index, which is taken as 2 in the present invention; b is the pipe diameter index.

[0119] S1b, local resistance model: When the fluid encounters local resistance (such as closed valves, pipe bends, thick and thin pipe interfaces, etc.) during movement, the fluid will produce vortex motion due to flow separation, secondary flow, etc., dissipating part of the fluid mechanical energy, which is expressed as velocity head:

[0120]

[0121] Where A is the cross-sectional area of ​​the pipeline, g is the acceleration due to gravity, which is 9.81 m / s 2 , Q is the flow rate, m 3 / h, ζ can be selected according to the empirical formula and the actual situation of the power station.

[0122] S1c, valve local resistance model: the valve resistance coefficient can be defined as:

[0123]

[0124] Where h k is the valve hydraulic loss, m; ρ is the water density, kg / m 3 ; g is the acceleration due to gravity m / s -2

[0125] Reference fitting formula for valve local resistance coefficient:

[0126] S = A × exp (-K / t) + C;

[0127] Where K is the valve opening, °; A, t, and C are unknown constants.

[0128] S2. Then establish the overall pipe network model according to different resistance models:

[0129] Calculate the total hydraulic loss of the main pipeline of the water supply system. The main water supply pipeline resistance mainly considers the resistance along the pipeline and the local resistance:

[0130]

[0131] U main =h main / Q total 2 ;

[0132] Where h main is the total hydraulic loss of the main pipeline of the technical water supply system; main is the friction coefficient of the main pipeline; d main is the main pipe diameter main is the local resistance coefficient of the main pipeline; A main is the cross-sectional area of ​​the main pipeline, in m 2 ;Q total is the total water volume in the pipeline, m 3 / h; U main is the resistance coefficient of the main pipeline.

[0133] Secondly, calculate the overall hydraulic loss of each branch pipeline where the water-using equipment is located. The total hydraulic loss of each branch pipeline is the sum of the resistance along the way, the local resistance of the elbow, the local resistance of the valve, and the local resistance of the water-using equipment:

[0134]

[0135] Where hi is the total hydraulic loss of the branch pipeline where the i-th water-using equipment in the technical water supply system is located; h f i is the hydraulic loss along the branch pipeline where the i-th water-using equipment is located; h j i is the local hydraulic loss of the branch pipeline where the i-th water-using equipment is located; h k i is the hydraulic loss of the electric valve of the branch pipeline where the i-th water-using equipment is located; f i The friction coefficient of the branch pipeline where the i-th water-using equipment is located; d i is the diameter of the branch pipe where the i-th water-using equipment is located, in meters; ζ i is the local resistance coefficient of the branch pipeline where the i-th water-using equipment is located; A i The cross-sectional area of ​​the branch pipe where the i-th water-using equipment is located, in m 2 ;Q i is the total water volume in the pipeline, m 3 / h; ρ is water density, unit: kg / m 3 ; S i is the resistance characteristic number of the valve of the branch pipeline where the i-th water-using equipment is located;

[0136] After that, the proportion of water allocated to each branch pipe can be determined according to the resistance of the branch pipe, and the calculation method is:

[0137]

[0138]

[0139] Where Ui is the resistance coefficient of the valve of the branch pipeline where the i-th water-using equipment is located, Φ i is the ratio of the flow rate of the branch pipeline where the i-th water-using equipment is located.

[0140] Finally, the characteristic curve of the pipe network is obtained. Since water needs to have a certain amount of energy to reach the water-using equipment through the pipe network, it must overcome the hydraulic loss of the pipeline, the upstream and downstream water level difference, and the upstream and downstream water surface pressure difference. When the water energy is balanced with these three energies, the pipe network can operate stably. These three parts of energy can be expressed as follows:

[0141]

[0142]

[0143] S t =U main +U dis ;

[0144] In the formula, H G is the total head required by the water supply system, in m, Q is the total flow rate currently required by the pipe network, in m 3 / h; S t is the tube resistance coefficient, unit is h 2 / m 2 ;H st is the hydrostatic pressure, unit is m; U dis is all points; λ is the pipe network resistance index coefficient, which is 2. Establish a relevant model for the variable frequency pump and solve

[0145] First, establish the characteristic curves of the water pump, the flow-efficiency (Q-η) curve and the flow-head (QH) curve. The performance curves at different pump frequency conversions can be expressed as:

[0146]

[0147]

[0148] H=a 1 Q 2 +a 2 Q 3 k 2 ;

[0149] Where H is the pump head; Q is the total flow rate of the pump, m 3 / h; η is the pump efficiency; k is the defined speed ratio; n 0 is the rated speed; n is the running speed of the pump; a 1 ,a 2 ,a 3 b is the pump flow-lift curve parameter obtained by fitting; 1 ,b2 ,b 3 This is the flow-efficiency curve of the pump.

[0150] Then solve the motor efficiency and inverter efficiency according to the speed ratio:

[0151] η m =0.94187×(1-e -9.04k );

[0152] η v =0.5087+1.283k-1.42k 2 +0.5834k 3 ;

[0153] Where η m is the motor efficiency; η v is the motor efficiency; k is the defined speed ratio; e is the natural index.

[0154] Then, according to the pump flow-lift characteristic curve and the pipe network characteristic curve, an equation relationship is established to solve the total power efficiency:

[0155]

[0156] N=ρgH w Q w ηη m η v ;

[0157] Where H w is the working head of the water pump; Qw is the working flow rate of the water pump, m 3 / h; Qi is the flow rate of the i-th water-using equipment m 3 / h;Φ i ρ is the water density, in kg / m 3 ; g is the acceleration due to gravity m / s -2 .

[0158] like Figure 2 As shown in the figure, the control strategy logic diagram is determined according to seasonality and water demand. The system can obtain different optimization scheduling results according to different modes by selecting different seasonal modes. For the large flow mode in summer, two different optimization energy-saving modes can be selected. One is a monotonic pump mode that keeps the valve regulating the water pump to meet the water demand of each pipeline. The other is a pump-valve joint control mode in which the opening of each valve and the speed of the water pump can be adjusted. For small flow conditions, the water pump speed is adjusted to the maximum, and the water distribution of each pipeline is achieved by adjusting the valve opening.

[0159] The winter & small flow mode in the dispatch optimization unit system of the dispatch control module is to keep the valve opening of each water-using equipment unchanged and optimize the water pump speed. The specific dispatch optimization model and optimization solution are as follows:

[0160] S1. Calculate the difference between the target demand flow and the current flow:

[0161]

[0162] Where dQ i is the difference between the required flow and the current flow; Q i need is the cooling water flow required by the i-th user equipment; Q i current is the current cooling water flow of the i-th water-consuming equipment.

[0163] (2) According to the current water distribution ratio of each branch network, the water flow rate that needs to be increased in the total pipeline is solved and the maximum value is selected:

[0164]

[0165]

[0166] Where Q i increase The additional flow rate of the total pipeline required for the i-th water-using equipment; Φ i current The flow distribution ratio of the branch pipeline where the i-th water-using equipment is located is obtained based on the hydraulic model; Q m increase For all Q i increase Maximum value.

[0167] S3. Calculate the water volume adjusted by the water pump. The calculation method is:

[0168]

[0169] Where Q Z is the target regulating flow rate of the pump, k a The safety factor is 1.1 to 1.2;

[0170] S4. Solve the speed of the target water pump:

[0171]

[0172] Where n t is the target speed.

[0173] The dispatch optimization unit system of the dispatch control module has multiple objectives in the summer and large flow modes, including the minimum sum of the difference between the working flow and the demand flow of each water-using equipment pipeline and the minimum total power. The minimum objective function is simplified to a single objective by weighted sum; after setting the water pump speed n to the rated speed, the electric valve opening K for each pipeline pair and the branch where each water-using equipment is located is i Parameter optimization is performed, and the specific scheduling optimization model and optimization solution are as follows: the total power consumption and the minimum are taken as the objective function:

[0174]

[0175] Where N z The total power consumption of the water pump is calculated by referring to formula (19); Q i need is the cooling water flow required by the i-th user equipment; Q i w Calculate the optimized flow for the i-th user device; {w 1 ,w 2} is the multi-objective parameter weight.

[0176] Constraints:

[0177] Speed ​​constraint:

[0178] n=n 0 ;

[0179] Lift Constraints:

[0180]

[0181] Flow constraints of branch lines:

[0182]

[0183] Pressure constraints:

[0184]

[0185] Total flow constraint:

[0186]

[0187] Where n is the speed 0 is the rated speed; Q i max is the maximum flow rate allowed in the pipeline where the i-th water-using equipment is located; Q i need is the cooling water flow required by the i-th user equipment; Q t is the calculated total pipeline flow; Q is the total flow threshold of the pipeline in winter & small flow and summer & large flow modes; t max is the maximum flow allowed in the total pipeline; P j max is the maximum pressure value that the j-th node pipeline can withstand; P j min is the minimum pressure value for safe operation of the j-th node pipeline; P j is the pressure value of the jth node pipeline; Q i w The flow rate calculated from the pipeline where the i-th water-using device is located;

[0188] The following is a specific calculation case:

[0189] The assumed period is a time in the morning of December in winter when the pumped storage power station faces an increase in unit load.

[0190] The equipment status and pipeline hydraulic parameters of the intelligent control module at a certain moment are shown in Table 1:

[0191]

[0192] Table 1

[0193] The demand flow obtained through calculation in the data analysis module is shown in Table 2:

[0194]

[0195] Table 2

[0196] In this case, the system is selected as winter & small flow mode. The calculated control parameters and hydraulic calculation results are shown in Table 3:

[0197]

[0198] Table 3

[0199] The system implementation steps are as follows:

[0200] Step 1: On-site terminal equipment inspection and system startup phase:

[0201] Inspect, calibrate and debug the terminal equipment involved in each module of the technical water supply dispatching and control system of the pumped storage power station, including debugging and checking the intelligent monitoring module in the control center of the pumped storage power station and the information interaction system of the technical water supply system monitoring equipment, inspect and debug the control equipment involved in the dispatching control module, set relevant parameters and preliminarily build the built-in models of the data analysis module, the hydraulic calculation unit in the dispatching control module and the dispatching optimization unit, debug and check the interaction between the information and data interaction module of the dispatching control module and the communication station network of the intelligent monitoring module; pre-start after completing the inspection and debugging of all terminal equipment. If the system prompts that the operating status of the terminal equipment does not meet the specifications, the system will check again and reset the parameters until the startup conditions are met;

[0202] Step 2: Information collection and operation data monitoring:

[0203] After the system is started, the intelligent monitoring module automatically collects information and measures data from various sensors on the pumped storage power station control center and technical water supply system equipment and pipelines, and uploads the information collected by each part to the storage unit of the data interaction module in real time to complete the collection of historical data of typical years. During the operation of the system, when the collected pipeline pressure is higher than the set maximum value or the water temperature at the water intake is higher than the set safety temperature, prompts and alarms are given in time at this stage to provide the actual location of the power station where the problem is located to the power station operation and maintenance personnel, and make a judgment on whether to shut down for adjustment;

[0204] Step 3: Data analysis and target flow determination:

[0205] The data of the intelligent monitoring module is preprocessed and normalized, and new eigenvalues ​​are extracted to obtain a set of eigenvalues ​​as input. The input is used to obtain the mapping relationship between the index data of the technical water supply system and the index data of the pumped storage unit trained by the deep learning model based on the historical data of typical years and the cooling water required by each water-using equipment to obtain the required flow of each water equipment. This part of the data set is transmitted to the dispatching control module as the target parameter and uploaded to the storage unit of the data interaction module for backup.

[0206] Step 4: Determine and calculate the scheduling control model:

[0207] The overall flow is calculated based on the demand flow of each water device obtained by the data analysis module. The mode selection is made according to the seasonal conditions and the total demand flow. After the specific control optimization mode is selected, the system calls the model for calculation and generates a dispatch instruction based on the calculation result. Then the electric valves of the relevant pipeline equipment are adjusted to the corresponding opening and the water pump is adjusted to the corresponding speed.

[0208] Step 5: Dynamic data update and analysis:

[0209] After the system executes step 4, the system's intelligent monitoring module, data analysis module, and dispatch control module update and analyze the data;

[0210] Step 6: Repeat steps 2 to 5 throughout the system startup period.

[0211] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. An energy-saving pumped storage power station technical water supply intelligent control system, characterized in that: Including intelligent monitoring module, data analysis module, dispatching control module, data interaction module, At the same time, all data are uploaded to the database; The data analysis module uses the data collected from the technical water supply system in typical years to train the deep learning model, and obtains the mapping relationship between the index data of the water system of the technical water supply system and the index data of the pumped storage unit and the cooling water volume required by each water-using equipment. It also obtains the flow required by each water-using equipment based on the partial data collected in real time as input, and provides the target adjustment amount for the dispatching control module. The dispatch control module includes a hydraulic calculation unit and a dispatch optimization unit, wherein the hydraulic calculation unit establishes a pipeline loss model according to the branch pipelines where each water-using equipment in the technical water supply system is located and the equipment on the pipeline, and iteratively solves the flow rate obtained. The flow rate is used as the call calculation part of the dispatch optimization unit. The dispatch optimization unit selects different control modes according to actual conditions and user needs. The system is divided according to seasons and selected according to the relationship between the total flow rate required by the water-using equipment and the set threshold value. The data interaction module consists of a storage unit and a human-computer interaction unit. The storage unit is used to store and organize the data collected by the technical water supply system, and store the operation log generated by the control results. The human-computer interaction unit is used to retrieve the data from the storage unit and visualize the data.

2. An energy-saving pumped storage power station technical water supply intelligent control system as claimed in claim 1, characterized in that: The system monitoring module collects water supply system equipment and pipeline information data, as well as some information from the pumped storage unit, at a set time interval as the sampling frequency.

3. The energy-saving pumped storage power station technical water supply intelligent control system according to claim 1, characterized in that: The numerical control analysis module is based on each water-using equipment to perform deep learning to obtain the mapping relationship of the required flow rate of the indicator, and the system acquisition module collects the indicators and inputs them into the system to obtain the cooling water flow rate Q required by each water-using equipment. i need .

4. The energy-saving pumped storage power station technical water supply intelligent control system according to claim 1, characterized in that: The hydraulic calculation unit of the dispatching control module is used to establish a technical water supply system pipe network model and a variable frequency pump model and solve the parameter calculations therein: Pipeline network model of the technical water supply system: The hydraulic loss model of the pipeline is established based on each node pipe section and pipeline equipment of the pumped storage power station technical water supply system, and the flow distribution ratio of the branch pipeline is obtained. Then, the hydraulic loss of the technical water supply main pipeline of the water supply system is calculated, and the hydraulic loss of the branch pipeline where each water-using equipment is located is combined to obtain the overall pipeline network characteristic curve; Variable frequency pump model: According to the pump characteristic curve, the flow-efficiency (Q-η) curve and flow-head (QH) curve of the pump at different speeds are obtained, and the speed ratio-motor efficiency (k-η) curve is established for the motor part. e ) and the inverter speed ratio-inverter efficiency (k-η b ) curve model.

5. The energy-saving pumped storage power station technical water supply intelligent control system according to claim 2, characterized in that: The hydraulic calculation unit technology water supply system pipe network model construction includes various hydraulic losses of each pipe, and its specific modeling and solving process is as follows: S1. First, the technical water supply system network model constructs various hydraulic loss calculation models and then constructs the entire network model. Models are built for various hydraulic resistances, including: S1a, along-the-line resistance model: When the fluid flows in the pipe, the viscous friction between the fluid and the pipe wall forms resistance to the movement, causing energy loss, recorded as h f The present invention adopts the Hazen-Williams formula to calculate the hydraulic loss along the way, and its expression is: Where Q is the flow rate, m 3 / h; d is the pipe diameter, unit is m; L is the pipe length, unit is m; f is the friction coefficient; m is the flow index, which is taken as 2 in the present invention; b is the pipe diameter index. S1b, local resistance model: When the fluid encounters local resistance during movement, the fluid generates vortex motion, dissipating part of the fluid mechanical energy, which is expressed as velocity head: Where A is the cross-sectional area of ​​the pipeline, g is the acceleration due to gravity, which is 9.81 m / s 2 , Q is the flow rate, m 3 / h, ζ can be determined by empirical formula and actual situation of power station; S1c, valve local resistance model: the valve resistance coefficient can be defined as: Where h k is the valve hydraulic loss, m; ρ is the water density, kg / m 3 ; g is the acceleration due to gravity m / s -2 ; Reference fitting formula for valve local resistance coefficient: S = A × exp (-K / t) + C; Where K is the valve opening, °; A, t, and C are unknown constants. S2. Then establish the overall pipe network model according to different resistance models: Calculate the total hydraulic loss of the main pipeline of the water supply system. The main water supply pipeline resistance mainly considers the resistance along the pipeline and the local resistance: U main =h main / Q total 2 ; Where h main is the total hydraulic loss of the main pipeline of the technical water supply system; main is the friction coefficient of the main pipeline; d main is the main pipe diameter main is the local resistance coefficient of the main pipeline; A main is the cross-sectional area of ​​the main pipeline, in m 2 ;Q total is the total water volume in the pipeline, m 3 / h; U main is the resistance coefficient of the main pipeline; Secondly, calculate the overall hydraulic loss of each branch pipeline where the water-using equipment is located. The total hydraulic loss of each branch pipeline is the sum of the resistance along the way, the local resistance of the elbow, the local resistance of the valve, and the local resistance of the water-using equipment: Where h i is the total hydraulic loss of the branch pipeline where the i-th water-using equipment in the technical water supply system is located; is the hydraulic loss along the branch pipeline where the i-th water-using equipment is located; h j i is the local hydraulic loss of the branch pipeline where the i-th water-using equipment is located; h k i is the hydraulic loss of the electric valve of the branch pipeline where the i-th water-using equipment is located; f i The friction coefficient of the branch pipeline where the i-th water-using equipment is located; d i is the diameter of the branch pipe where the i-th water-using equipment is located, in meters; ζ i is the local resistance coefficient of the branch pipeline where the i-th water-using equipment is located; A i The cross-sectional area of ​​the branch pipe where the i-th water-using equipment is located, in m 2 ;Q i is the total water volume in the pipeline, m 3 / h; ρ is water density, unit: kg / m 3 ; S i is the resistance characteristic number of the valve of the branch pipeline where the i-th water-using equipment is located; After that, the proportion of water allocated to each branch pipe can be determined according to the resistance of the branch pipe, and the calculation method is: Where U i is the resistance coefficient of the valve of the branch pipeline where the i-th water-using equipment is located, Φ i is the ratio of the flow rate of the branch pipeline where the i-th water-using equipment is located. Finally, the characteristic curve of the pipe network is obtained. Since water needs to have a certain amount of energy to reach the water-using equipment through the pipe network, it must overcome the hydraulic loss of the pipeline, the upstream and downstream water level difference, and the upstream and downstream water surface pressure difference. When the water energy is balanced with these three energies, the pipe network can operate stably. These three parts of energy can be expressed as follows: WITH t =U main +U dis ; In the formula, H G is the total head required by the water supply system, in m, Q is the total flow rate currently required by the pipe network, in m 3 / h; S t is the tube resistance coefficient, unit is h 2 / m 2 ;H st is the hydrostatic pressure, unit is m; U dis is all points; λ is the pipe network resistance index coefficient, which is 2.

6. The energy-saving pumped storage power station technical water supply intelligent control system as claimed in claim 1, characterized in that: The variable frequency pump model in the hydraulic calculation unit includes the characteristic curves of the water pump, the flow-efficiency (Q-η) curve and the flow-head (QH) curve. The specific modeling process is as follows: the performance curve at different pump frequency conversions can be expressed as: <h2 style=";text-align:left;direction:ltr">H=a1Q<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> +a2kQ+a3k<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> ; Where H is the pump head; Q is the total flow rate of the pump, m 3 / h; η is the pump efficiency; k is the defined speed ratio; n0 is the rated speed; n is the pump operating speed; a1, a2, a3 are the pump flow-head curve parameters obtained by fitting; b1, b2, b3 are the pump flow-efficiency curves; Then solve the motor efficiency and inverter efficiency according to the speed ratio: or m =0.94187×(1-e -9.04k ); or v =0.5087+1.283k-1.42k 2 +0.5834k 3 ; Where η m is the motor efficiency; η v is the motor efficiency; k is the defined speed ratio; e is the natural index; Then, according to the pump flow-lift characteristic curve and the pipe network characteristic curve, an equation relationship is established to solve the total power efficiency: N=ρgH w Q w dd m or v ; Where H w is the working head of the water pump; Qw is the working flow rate of the water pump, m 3 / h;Φ i is the allocation ratio of the i-th water-using equipment; ρ is the water density, unit is kg / m 3 ; g is the acceleration due to gravity m / s -2 .

7. The energy-saving pumped storage power station technical water supply intelligent control system according to claim 1, characterized in that: The winter & small flow mode adjustment method in the dispatch optimization unit system of the dispatch control module is to keep the valve opening of each water-using equipment unchanged and optimize the water pump speed. The specific dispatch optimization model and optimization solution are as follows: S1. Calculate the difference between the target demand flow and the current flow: Where dQ i is the difference between the demand flow and the current flow; Q i need is the cooling water flow required by the i-th user equipment; Q i current is the current cooling water flow of the i-th user; S2. Calculate the water flow rate that needs to be increased in the total pipeline based on the current water distribution ratio of each branch pipeline network and select the maximum value: Where Q i increase The additional flow rate of the total pipeline required for the i-th water-using equipment; Φ i current The flow distribution ratio of the branch pipeline where the i-th water-using equipment is located is obtained based on the hydraulic model; Q m increase For all Q i increase Maximum value. S3. Calculate the water volume adjusted by the water pump. The calculation method is: Where Q Z is the target regulating flow rate of the pump, k a The safety factor is 1.1 to 1.2; S4. Solve the speed of the target water pump: Where n t is the target speed.

8. The energy-saving pumped storage power station technical water supply intelligent control system according to claim 1, characterized in that: The dispatch optimization unit system of the dispatch control module has multiple objectives in the summer and large flow modes, including the minimum sum of the difference between the working flow and the demand flow of each water-using equipment pipeline and the minimum total power. The minimum objective function is simplified to a single objective by weighted sum; after setting the water pump speed n to the rated speed, the electric valve opening K of each pipeline pair and the branch where each water-using equipment is located is i Parameter optimization is performed, and its specific scheduling optimization model and optimization solution are as follows: Take total power consumption and minimum as the objective function: Where N z The total power consumption of the water pump is calculated by referring to formula (19); Q i need is the cooling water flow required by the i-th user equipment; Q i w Calculate the optimized flow for the i-th book-using device; {w1,w2} are the multi-objective parameter weights; Constraints: Speed ​​constraint: n=n0; Lift Constraints: Flow constraints of branch lines: Pressure constraints: Total flow constraint: Where n is the speed and n0 is the rated speed; Q i max is the maximum flow rate allowed in the pipeline where the i-th water-using equipment is located; Q i need is the cooling water flow required by the i-th user equipment; Q t is the calculated total pipeline flow; Q is the total flow threshold of the pipeline in winter & small flow and summer & large flow modes; t max is the maximum flow allowed in the total pipeline; P j max is the maximum pressure value that the j-th node pipeline can withstand; P j min is the minimum pressure value for safe operation of the j-th node pipeline; P j is the pressure value of the jth node pipeline; Q i w The flow rate calculated for the pipeline where the i-th water-using device is located.

9. The energy-saving pumped storage power station technical water supply intelligent control system according to claim 1 is carried out according to the following steps: Step 1: On-site terminal equipment inspection and system startup phase: Inspect, calibrate and debug the terminal equipment involved in each module of the technical water supply dispatching and control system of the pumped storage power station, including debugging and checking the intelligent monitoring module in the control center of the pumped storage power station and the information interaction system of the technical water supply system monitoring equipment, inspect and debug the control equipment involved in the dispatching control module, set relevant parameters and preliminarily build the built-in models of the data analysis module, the hydraulic calculation unit in the dispatching control module and the dispatching optimization unit, debug and check the interaction between the information and data interaction module of the dispatching control module and the communication station network of the intelligent monitoring module; pre-start after completing the inspection and debugging of all terminal equipment. If the system prompts that the operating status of the terminal equipment does not meet the specifications, the system will check again and reset the parameters until the startup conditions are met; Step 2: Information collection and operation data monitoring: After the system is started, the intelligent monitoring module automatically collects information and measures data from various sensors on the pumped storage power station control center and technical water supply system equipment and pipelines, and uploads the information collected by each part to the storage unit of the data interaction module in real time to complete the collection of historical data of typical years. During the operation of the system, when the collected pipeline pressure is higher than the set maximum value or the water temperature at the water intake is higher than the set safety temperature, prompts and alarms are given in time at this stage to provide the actual location of the power station where the problem is located to the power station operation and maintenance personnel, and make a judgment on whether to shut down for adjustment; Step 3: Data analysis and target flow determination: The data of the intelligent monitoring module is preprocessed and normalized, and new eigenvalues ​​are extracted to obtain a set of eigenvalues ​​as input. The input is used to obtain the mapping relationship between the index data of the technical water supply system and the index data of the pumped storage unit trained by the deep learning model based on the historical data of typical years and the cooling water required by each water-using equipment to obtain the required flow of each water equipment. This part of the data set is transmitted to the dispatching control module as the target parameter and uploaded to the storage unit of the data interaction module for backup. Step 4: Determine and calculate the scheduling control model: The overall flow is calculated based on the demand flow of each water device obtained by the data analysis module. The mode selection is made according to the seasonal conditions and the total demand flow. After the specific control optimization mode is selected, the system calls the model for calculation and generates a dispatch instruction based on the calculation result. Then the electric valves of the relevant pipeline equipment are adjusted to the corresponding opening and the water pump is adjusted to the corresponding speed. Step 5: Dynamic data update and analysis: After the system executes step 4, the system's intelligent monitoring module, data analysis module, and dispatch control module update and analyze the data; Step 6: Repeat steps 2 to 5 throughout the system startup period.

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