A flow adaptive control method for water supply system

Abstract

The present invention discloses a self-adaptive control method for the flow of a water supply system, which specifically relates to the technical field of water supply control, including analyzing the steam quality generated by a steam generator, analyzing the influence of steam quality fluctuation on steam generation, ensuring that the steam quality is maintained within an optimal range, analyzing the steam flow rate generated by the steam generator, analyzing the influence of the steam flow rate on steam generation, determining the influence of the steam flow rate under different working conditions, determining the energy output of the steam through the steam enthalpy and the steam mass flow rate, and comparing it with the input energy consumed in generating the steam, determining the steam efficiency generated by the water supply system, determining the objective function of the optimization algorithm through analysis of the steam quality, steam flow rate and steam efficiency, and determining the current control parameters by minimizing the objective function. The present invention helps to further reduce the negative impact of fluctuations on the system, achieve energy saving and cost reduction and reliable operation.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply control, and more particularly to a method for self-adaptive flow control of a water supply system. Background Art

[0002] As a highly efficient and clean energy generation method, nuclear power plants use the heat energy generated by nuclear reactors to heat water, generate steam, and drive generators through steam turbines to generate electricity. In this process, steam generators, as key equipment, are responsible for converting the heat energy of nuclear reactors into steam. The quality, flow rate, pressure and other characteristics of steam are crucial to the operational safety, efficiency and power generation capacity of nuclear power plants.

[0003] Currently, in nuclear power plants and other steam systems, achieving joint control of valves, pumps, pressure and flow is a technical challenge, especially the automatic adjustment of water feed according to the optimal steam volume under different operating conditions. Any impact will affect the stability of steam generation, and it is difficult to reduce the impact of unstable factors.

[0004] In order to solve the above-mentioned defects, a technical solution is now provided. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a flow adaptive control method for a water supply system to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for self-adaptive flow control of a water supply system, comprising the following steps:

[0008] S1: Analyze the steam quality produced by the steam generator and the impact of steam quality fluctuation on steam production to ensure that the steam quality remains within the optimal range;

[0009] S2: Analyze the steam flow rate generated by the steam generator, analyze the impact of the steam flow rate on steam generation, and determine the impact of the steam flow rate under different working conditions;

[0010] S3: Determine the energy output of the steam by using the steam enthalpy and steam mass flow rate, and compare it with the input energy consumed to generate the steam to determine the steam efficiency generated by the water supply system;

[0011] S4: Determine the objective function of the optimization algorithm by analyzing the steam quality, steam flow rate and steam efficiency, and determine the current control parameters by minimizing the objective function.

[0012] In a preferred embodiment, analyzing the steam flow rate generated by the steam generator includes:

[0013] The logic for obtaining the steam quality related influence coefficient is as follows: based on the operation history of the steam generator under different operating conditions, the steam quality fractions under different operating conditions are collected, and the probability distribution of different steam quality fractions under different operating conditions is fitted by kernel density estimation to determine the expected value of the steam quality fraction, and the expected value of the steam quality fraction is marked as: E(X);

[0014] Obtaining the steam quality score collected by the current steam generator during the monitoring period, and marking the steam quality score collected by the current steam generator during the monitoring period as: ZL;

[0015] According to the operation history of the steam generator under different working conditions, the correlation between the steam quality fraction and the feed water flow rate is determined, and the correlation between the steam quality fraction and the feed water flow rate is marked as: XG gs ,in, Cov(ZL,LS) is the covariance of steam mass fraction and feedwater flow rate, BZ(ZL) is the standard deviation of steam mass fraction, and BZ(LS) is the standard deviation of feedwater flow rate;

[0016] The distribution characteristics of the steam mass fraction collected by the current steam generator during the monitoring period are calculated by kernel density estimation. The formula for kernel density estimation is: Where ZL is the steam quality score collected by the current steam generator during the monitoring period, n = 1, 2, 3, ..., N, N is a positive integer, n is the number of the steam quality score collected during the monitoring period, ZL n is the steam mass fraction collected for the nth time, h is the bandwidth parameter, and K is the Gaussian kernel function;

[0017] Calculate the steam quality related influence coefficient, the calculation formula is: Among them, XY xg is the steam quality related influence coefficient.

[0018] In a preferred embodiment, analyzing the steam flow rate generated by the steam generator includes:

[0019] The logic for obtaining the steam flow rate influence accumulation coefficient is as follows: determining the temperature standard value range and the air pressure standard value range corresponding to different working conditions in the steam generator, and determining the steam flow rate, temperature and air pressure in the steam generator in real time through sensors;

[0020] Calculate the accumulation coefficient of steam velocity influence using the following formula: Among them, LS zqis the accumulation coefficient of steam flow rate, [t1, t2] is the time period that is not within the standard temperature range, and [t3, t4] is the time period that is not within the standard pressure range.

[0021] In a preferred embodiment, determining the efficiency of steam generated by the feedwater system includes:

[0022] The logic for obtaining the steam efficiency fluctuation coefficient is: obtaining the steam enthalpy and mass flow rate. The calculation formula for the steam enthalpy is: h g =h f +zl*(h fg ); where h g is the enthalpy of steam, h f is the enthalpy of liquid water, h fg is the enthalpy of vaporization, which represents the additional heat required to convert liquid water into steam;

[0023] The steam energy output is calculated by the steam flow rate and enthalpy value. The calculation formula is: E out =h g *LL; among them, E out is the energy output of steam;

[0024] Determine the input energy consumed to generate steam and label the input energy consumed to generate steam as: E in ;

[0025] Determine the steam efficiency coefficient, the calculation formula is: Among them, XL zq is the steam efficiency coefficient;

[0026] Calculate the average value and standard deviation of the steam efficiency coefficient during the monitoring period, and mark the average value and standard deviation of the steam efficiency coefficient during the monitoring period as: XL avg and XL std ;

[0027] Calculate the coefficient of variation of the steam efficiency coefficient using the following formula: Wherein, BY is the coefficient of variation of steam efficiency coefficient;

[0028] Calculate the steam efficiency fluctuation coefficient, the calculation union is: BD xl =BY*e BY+1 ; Among them, BD xl is the steam efficiency fluctuation coefficient.

[0029] In a preferred embodiment, determining the objective function of the optimization algorithm includes:

[0030] The steam quality related influence coefficient, steam flow rate influence accumulation coefficient and steam efficiency fluctuation coefficient are weighted and calculated to construct an optimization evaluation model. The optimization evaluation model is generated. The calculation formula of the optimization evaluation coefficient is: Among them, PG Yh To optimize the evaluation coefficient, α1, α2, and α3 are the proportional coefficients of the steam quality related influence coefficient, the steam flow rate influence accumulation coefficient, and the steam efficiency fluctuation coefficient, respectively. α1, α2, and α3 are all greater than 0.

[0031] In a preferred embodiment, the current control parameters are determined by minimizing the objective function, including:

[0032] The optimization evaluation coefficient is used as the objective function of the optimization algorithm. During the optimization process, constraints on the control parameters are added. By monitoring the various system parameters in real time, the optimization algorithm will adjust the system parameters according to the current evaluation coefficient value, gradually approaching the maximum efficiency state, including:

[0033] Based on the real-time monitored system status, these parameters are passed into the optimization algorithm as input;

[0034] Calculate the current optimal control parameters through the optimization algorithm and adjust these parameters to the new values;

[0035] Using the optimization evaluation coefficient as the objective function of the optimization algorithm, the system performance of the current state is evaluated, and new control parameters are calculated through the optimization algorithm to minimize the objective function. The control parameters are adjusted according to the constraints and fed back to the system.

[0036] Set the optimization evaluation coefficient threshold. When the optimization evaluation coefficient is less than the optimization evaluation coefficient threshold, the optimization is stopped.

[0037] The technical effects and advantages of the present invention are as follows:

[0038] The present invention realizes intelligent optimization of the steam generation process by comprehensively analyzing the steam quality, flow rate and efficiency of the steam generator and combining it with an optimization algorithm. By real-time monitoring and analysis of these key parameters, the optimization algorithm can dynamically adjust control parameters (such as valve opening, pump power, etc.) to ensure that the system is always in the best operating state, thereby improving steam generation efficiency, reducing energy consumption and enhancing system stability. In addition, by regulating the fluctuations in steam quality and flow rate, the negative impact of fluctuations on the system is further reduced, achieving energy saving, cost reduction and reliable operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0040] Figure 1The figure is a flow chart of a method for self-adaptive flow control of a water supply system according to the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0042] Example 1

[0043] Figure 1 A flow chart of a method for adaptively controlling flow in a water supply system according to the present invention is provided, which specifically includes the following steps:

[0044] S1: Analyze the steam quality produced by the steam generator and the impact of steam quality fluctuation on steam production to ensure that the steam quality remains within the optimal range;

[0045] S2: Analyze the steam flow rate generated by the steam generator, analyze the impact of the steam flow rate on steam generation, and determine the impact of the steam flow rate under different working conditions;

[0046] S3: Determine the energy output of the steam by using the steam enthalpy and steam mass flow rate, and compare it with the input energy consumed to generate the steam to determine the steam efficiency generated by the water supply system;

[0047] S4: Determine the objective function of the optimization algorithm by analyzing the steam quality, steam flow rate and steam efficiency, and determine the current control parameters by minimizing the objective function.

[0048] The water supply system is typically composed of multiple devices and control modules that can adjust key parameters such as water supply volume, pump load, pressure, flow, etc. according to real-time load changes and operating condition fluctuations to ensure stable operation of the steam generator, including:

[0049] The initial part of the water supply system is usually a water source pool or water tower. These devices store a large amount of water for the system. The water source usually undergoes preliminary treatment (such as impurity removal and softening) to ensure that the water quality meets certain standards and prevent sediment or corrosion problems in the pipes and equipment in the water supply system.

[0050] The pumping station is the core equipment in the water supply system, responsible for transporting water from the water source to the steam generator or boiler. The pumping station contains multiple pumps. The working principle of the pump is usually based on electric drive, which drives the water flow through mechanical rotation.

[0051] The pressure regulating valve is used to control the pressure in the water supply pipeline. During the water supply process, the water pressure must be maintained within a certain range to ensure the normal operation of the system. Excessive pressure will increase the pipeline load and may cause the pipeline to rupture; while too low pressure may cause insufficient flow and affect the operation of the steam generator. Therefore, the pressure regulating valve adjusts the valve opening according to the feedback signal to ensure the stability of the system pressure.

[0052] Flow control valves are used to regulate the amount of water flow, which is crucial to ensuring the normal operation of the steam generator. Flow valves are usually dynamically adjusted according to system requirements to ensure the generation of steam in the steam generator by precisely controlling the water flow.

[0053] Based on the optimization algorithm, the various parameters in the water supply system are adjusted to achieve the optimal state of steam generation under different working conditions. It is usually necessary to comprehensively consider multiple influencing factors, such as pump speed, valve opening, flow, pressure, temperature, etc., and find the optimal operating state of the system through the optimization algorithm. Based on the comprehensive analysis of steam quality, steam flow and steam efficiency, the optimal state of steam generation under different working conditions is determined, so that the various parameters in the water supply system can be adjusted through the optimization algorithm, among which:

[0054] Steam quality refers to the ratio of gas phase to liquid phase in steam, which affects the efficiency of steam energy utilization. High-quality steam (with a large gas phase ratio) contains more energy and can more effectively drive steam turbines and other equipment. The stability of steam quality is crucial because fluctuations can affect the operating efficiency of the system and the life of equipment.

[0055] Steam flow rate is the total amount of steam passing through the steam pipe per unit time. It directly determines the amount of energy output by the system. In order to adapt to different working conditions, the steam flow rate needs to be properly adjusted.

[0056] Steam efficiency is a measure of a system's ability to effectively convert fuel or other energy into steam energy. A high steam efficiency means that the system can maximize the use of input energy to produce the required steam.

[0057] By analyzing the steam quality generated by the steam generator, the steam quality-related influence coefficient is determined. The steam quality-related influence coefficient is used to analyze the impact of steam quality fluctuations on steam generation. By analyzing the steam quality-related influence coefficient, it is ensured that the steam quality is maintained within the optimal range, thereby maximizing energy conversion efficiency and reducing unnecessary energy waste. By timely adjusting the system operating parameters, heat loss caused by steam quality fluctuations is avoided, thereby improving the thermal efficiency of the system and ensuring that steam generation is always in an optimal state.

[0058] The logic for obtaining the steam quality related influence coefficient is as follows: based on the operation history of the steam generator under different operating conditions, the steam quality fractions under different operating conditions are collected, and the probability distribution of different steam quality fractions under different operating conditions is fitted by kernel density estimation to determine the expected value of the steam quality fraction, and the expected value of the steam quality fraction is marked as: E(X);

[0059] Obtaining the steam quality score collected by the current steam generator during the monitoring period, and marking the steam quality score collected by the current steam generator during the monitoring period as: ZL;

[0060] It should be noted that the monitoring time period is set by professional staff. Usually, the monitoring time period is a shorter time period that can reflect the operation of the steam generator under the same operating conditions.

[0061] According to the operation history of the steam generator under different working conditions, the correlation between the steam quality fraction and the feed water flow rate is determined, and the correlation between the steam quality fraction and the feed water flow rate is marked as: XG gs ,in, Cov(ZL,LS) is the covariance of steam mass fraction and feedwater flow rate, BZ(ZL) is the standard deviation of steam mass fraction, and BZ(LS) is the standard deviation of feedwater flow rate;

[0062] The distribution characteristics of the steam mass fraction collected by the current steam generator during the monitoring period are calculated by kernel density estimation. The formula for kernel density estimation is: Where ZL is the steam quality score collected by the current steam generator during the monitoring period, n = 1, 2, 3, ..., N, N is a positive integer, n is the number of the steam quality score collected during the monitoring period, ZL n is the steam mass fraction collected for the nth time, h is the bandwidth parameter, and K is the Gaussian kernel function;

[0063] Calculate the steam quality related influence coefficient, the calculation formula is: Among them, XY xg is the steam quality related influence coefficient.

[0064] It can be seen from the formula that the larger the steam quality-related influence coefficient is, the greater the impact of steam quality fluctuations on the optimal state of steam production by the steam generator, indicating that the pump and valve may be operating in a non-optimal state and need to be adjusted.

[0065] By analyzing the steam flow rate generated by the steam generator, the steam flow rate impact accumulation coefficient is determined. The steam flow rate impact accumulation coefficient is used to analyze the impact of the steam flow rate on steam generation. By analyzing the impact of the steam flow rate on the steam generator, we can more accurately understand the impact of the steam flow rate on steam quality, steam temperature, pressure and other parameters under different working conditions.

[0066] The logic for obtaining the steam flow rate influence accumulation coefficient is as follows: determining the temperature standard value range and the air pressure standard value range corresponding to different working conditions in the steam generator, and determining the steam flow rate, temperature and air pressure in the steam generator in real time through sensors;

[0067] Calculate the accumulation coefficient of steam velocity influence using the following formula: Among them, LS zq is the accumulation coefficient of steam flow rate, [t1, t2] is the time period that is not within the standard temperature range, and [t3, t4] is the time period that is not within the standard pressure range.

[0068] It can be seen from the formula that the greater the steam flow rate impact accumulation coefficient, the more likely it is that the heat exchange efficiency in the steam generator may decrease or the steam flow may be unstable, affecting the energy utilization efficiency of the entire system. This means that it is necessary to reduce energy loss and improve the energy utilization rate of the system by adjusting control parameters such as valves and pump speeds.

[0069] In a steam generator system, the steam efficiency coefficient is a key indicator for measuring the efficiency of the steam generation process and whether it can maximize energy utilization. By optimizing the steam production process, energy waste can be reduced and overall system performance can be improved. Reasons for using optimization algorithms to adjust valves include:

[0070] The optimal valve opening will change under different operating conditions (such as load changes, environmental changes, system status changes, etc.). Traditional manual adjustment or fixed control strategies often fail to fully consider all dynamic factors, resulting in efficiency loss. The optimization algorithm can automatically adjust the valve opening according to the current operating conditions in real time to ensure maximum steam efficiency.

[0071] The operation of a steam generation system involves multiple dynamic variables, and there may be complex nonlinear relationships between these variables. The optimization algorithm can comprehensively consider the fluctuations of parameters such as pressure, flow, and temperature, and adjust the valve opening to ensure stable system operation, avoiding system efficiency reduction or instability caused by fluctuations in certain parameters;

[0072] Through optimization algorithms, the feedwater flow rate can be dynamically adjusted to avoid excessive or insufficient steam. Proper adjustment of valve opening can reduce energy waste and achieve more efficient steam production. For example, the feedwater flow rate can be reduced during low load conditions, thereby avoiding excessive steam and reducing unnecessary energy consumption.

[0073] The logic for obtaining the steam efficiency fluctuation coefficient is: obtaining the steam enthalpy and mass flow rate. The calculation formula for the steam enthalpy is: h g =h f +zl*(h fg ); where h g is the enthalpy of steam, h f is the enthalpy of liquid water, h fg is the enthalpy of vaporization, which represents the additional heat required to convert liquid water into steam;

[0074] It should be noted that enthalpy represents the total energy per unit mass of steam. It can be determined using thermodynamic tables or the steam's temperature and pressure. It is typically calculated using steam tables (such as steam enthalpy tables) or equations of state. The steam mass flow rate is determined using a mass flow meter.

[0075] The steam energy output is calculated by the steam flow rate and enthalpy value. The calculation formula is: E out =h g *LL; among them, E out is the energy output of steam;

[0076] Determine the input energy consumed to generate steam and label the input energy consumed to generate steam as: E in ;

[0077] It should be noted that input energy refers to the energy consumed to generate steam, which usually includes the heat from the combustion of fuel in gas boilers, electricity used to drive pumps, fans and other auxiliary equipment, etc.

[0078] Determine the steam efficiency coefficient, the calculation formula is: Among them, XL zq is the steam efficiency coefficient;

[0079] Calculate the average value and standard deviation of the steam efficiency coefficient during the monitoring period, and mark the average value and standard deviation of the steam efficiency coefficient during the monitoring period as: XL avg and XL std ;

[0080] Calculate the coefficient of variation of the steam efficiency coefficient using the following formula: Wherein, BY is the coefficient of variation of steam efficiency coefficient;

[0081] Calculate the steam efficiency fluctuation coefficient, the calculation union is: BD xl =BY*e BY+1 ; Among them, BD xl is the steam efficiency fluctuation coefficient.

[0082] It can be seen from the formula that the larger the steam efficiency fluctuation coefficient, the greater the volatility of the steam efficiency coefficient, which may mean that the system operation is unstable and the steam output energy fluctuates greatly, which may lead to a decrease in the efficiency of the steam generator, heat exchanger or steam turbine. It is more necessary to adjust control parameters such as valves and pump speeds to reduce energy losses.

[0083] The steam quality related influence coefficient, steam flow rate influence accumulation coefficient and steam efficiency fluctuation coefficient are weighted and calculated to construct an optimization evaluation model. The optimization evaluation model is generated. The calculation formula of the optimization evaluation coefficient is: Among them, PG Yh To optimize the evaluation coefficient, α1, α2, and α3 are the proportional coefficients of the steam quality related influence coefficient, the steam flow rate influence accumulation coefficient, and the steam efficiency fluctuation coefficient, respectively. α1, α2, and α3 are all greater than 0.

[0084] The optimization evaluation coefficient is used as the objective function of the optimization algorithm. During the optimization process, constraints on the control parameters are added. By monitoring the various system parameters in real time, the optimization algorithm will adjust the system parameters according to the current evaluation coefficient value, gradually approaching the maximum efficiency state, including:

[0085] Based on the real-time monitored system status (such as steam flow, temperature, pressure, etc.), these parameters are passed into the optimization algorithm as input;

[0086] Calculate the current optimal control parameters (such as valve opening, pump power, etc.) through the optimization algorithm and adjust these parameters to the new values;

[0087] Using the optimization evaluation coefficient as the objective function of the optimization algorithm, the system performance of the current state is evaluated, and new control parameters are calculated through the optimization algorithm to minimize the objective function. The control parameters are adjusted according to the constraints and fed back to the system.

[0088] Set the optimization evaluation coefficient threshold. When the optimization evaluation coefficient is less than the optimization evaluation coefficient threshold, the optimization is stopped.

[0089] The present invention realizes intelligent optimization of the steam generation process by comprehensively analyzing the steam quality, flow rate and efficiency of the steam generator and combining it with an optimization algorithm. By real-time monitoring and analysis of these key parameters, the optimization algorithm can dynamically adjust control parameters (such as valve opening, pump power, etc.) to ensure that the system is always in the best operating state, thereby improving steam generation efficiency, reducing energy consumption and enhancing system stability. In addition, by regulating the fluctuations in steam quality and flow rate, the negative impact of fluctuations on the system is further reduced, achieving energy saving, cost reduction and reliable operation.

[0090] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0091] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0092] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0093] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0094] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0095] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0096] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0097] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A water supply system flow adaptive control method, characterized in that: The specific steps include: S1: Analyze the steam quality produced by the steam generator and the impact of steam quality fluctuation on steam production to ensure that the steam quality remains within the optimal range; S2: Analyze the steam flow rate generated by the steam generator, analyze the impact of the steam flow rate on steam generation, and determine the impact of the steam flow rate under different working conditions; S3: Determine the energy output of steam by using the steam enthalpy and steam mass flow rate, and compare it with the input energy consumed to generate the steam to determine the steam efficiency generated by the water supply system; S4: Determine the objective function of the optimization algorithm by analyzing the steam quality, steam flow rate and steam efficiency, and determine the current control parameters by minimizing the objective function.

2. A water supply system flow adaptive control method according to claim 1, characterized in that: Analysis of steam flow rate from steam generators, including: The logic for obtaining the steam quality related influence coefficient is as follows: based on the operation history of the steam generator under different operating conditions, the steam quality fractions under different operating conditions are collected, and the probability distribution of different steam quality fractions under different operating conditions is fitted by kernel density estimation to determine the expected value of the steam quality fraction, and the expected value of the steam quality fraction is marked as: E(X); Obtaining the steam quality score collected by the current steam generator during the monitoring period, and marking the steam quality score collected by the current steam generator during the monitoring period as: ZL; According to the operation history of the steam generator under different working conditions, the correlation between the steam quality fraction and the feed water flow rate is determined, and the correlation between the steam quality fraction and the feed water flow rate is marked as: XG gs ,in, Cov(ZL,LS) is the covariance of steam mass fraction and feedwater flow rate, BZ(ZL) is the standard deviation of steam mass fraction, and BZ(LS) is the standard deviation of feedwater flow rate; The distribution characteristics of the steam mass fraction collected by the current steam generator during the monitoring period are calculated by kernel density estimation. The formula for kernel density estimation is: Where ZL is the steam quality score collected by the current steam generator during the monitoring period, n = 1, 2, 3, ..., N, N is a positive integer, n is the number of the steam quality score collected during the monitoring period, ZL n is the steam mass fraction collected for the nth time, h is the bandwidth parameter, and K is the Gaussian kernel function; Calculate the steam quality related influence coefficient, the calculation formula is: Among them, XY xg is the steam quality related influence coefficient.

3. A water supply system flow adaptive control method according to claim 2, characterized in that: Analysis of steam flow rate from steam generators, including: The logic for obtaining the steam flow rate influence accumulation coefficient is as follows: determining the temperature standard value range and the air pressure standard value range corresponding to different working conditions in the steam generator, and determining the steam flow rate, temperature and air pressure in the steam generator in real time through sensors; Calculate the accumulation coefficient of steam velocity influence using the following formula: Among them, LS zq is the accumulation coefficient of steam flow rate, [t1, t2] is the time period that is not within the standard temperature range, and [t3, t4] is the time period that is not within the standard pressure range.

4. A water supply system flow adaptive control method according to claim 3, characterized in that: Determine the efficiency of steam generated by the feedwater system, including: The logic for obtaining the steam efficiency fluctuation coefficient is: obtaining the steam enthalpy and mass flow rate. The calculation formula for the steam enthalpy is: h g =h f +zl*(h fg ); where h g is the enthalpy of steam, h f is the enthalpy of liquid water, h fg is the enthalpy of vaporization, which represents the additional heat required to convert liquid water into steam; The steam energy output is calculated by the steam flow rate and enthalpy value. The calculation formula is: E out =h g *LL; among them, E out is the energy output of steam; Determine the input energy consumed to generate steam and label the input energy consumed to generate steam as: E in ; Determine the steam efficiency coefficient, the calculation formula is: Among them, XL zq is the steam efficiency coefficient; Calculate the average value and standard deviation of the steam efficiency coefficient during the monitoring period, and mark the average value and standard deviation of the steam efficiency coefficient during the monitoring period as: XL avg and XL std ; Calculate the coefficient of variation of the steam efficiency coefficient using the following formula: Wherein, BY is the coefficient of variation of steam efficiency coefficient; Calculate the steam efficiency fluctuation coefficient, the calculation union is: BD xl =BY*e BY+1 ; Among them, BD xl is the steam efficiency fluctuation coefficient.

5. A water supply system flow adaptive control method according to claim 4, characterized in that: Determine the objective function of the optimization algorithm, including: The steam quality related influence coefficient, steam flow rate influence accumulation coefficient and steam efficiency fluctuation coefficient are weighted and calculated to construct an optimization evaluation model. The optimization evaluation model is generated. The calculation formula of the optimization evaluation coefficient is: Among them, PG Yh To optimize the evaluation coefficient, α1, α2, and α3 are the proportional coefficients of the steam quality related influence coefficient, the steam flow rate influence accumulation coefficient, and the steam efficiency fluctuation coefficient, respectively. α1, α2, and α3 are all greater than 0.

6. A water supply system flow adaptive control method according to claim 5, characterized in that: By minimizing the objective function, the current control parameters are determined, including: The optimization evaluation coefficient is used as the objective function of the optimization algorithm. During the optimization process, constraints on the control parameters are added. By monitoring the various system parameters in real time, the optimization algorithm will adjust the system parameters according to the current evaluation coefficient value, gradually approaching the maximum efficiency state, including: Based on the real-time monitored system status, these parameters are passed into the optimization algorithm as input; Calculate the current optimal control parameters through the optimization algorithm and adjust these parameters to the new values; Using the optimization evaluation coefficient as the objective function of the optimization algorithm, the system performance of the current state is evaluated, and new control parameters are calculated through the optimization algorithm to minimize the objective function. The control parameters are adjusted according to the constraints and fed back to the system. Set the optimization evaluation coefficient threshold. When the optimization evaluation coefficient is less than the optimization evaluation coefficient threshold, the optimization is stopped.

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