Flow self-adaptive control method for water supply system

Abstract

The invention discloses a self-adaptive flow control method for a water supply system, and particularly relates to the technical field of water supply control, which comprises the following steps of: analyzing the quality of steam generated by a steam generator, analyzing the influence of steam quality fluctuation on the steam, and ensuring that the steam quality is kept in an optimal range; the steam flow rate generated by the steam generator is analyzed, the influence of the steam flow rate on steam is analyzed, the influence of the steam flow rate under different working conditions is determined, the energy output of steam is determined through the steam enthalpy value and the steam mass flow rate, and the energy output is compared with input energy consumed by steam generation. According to the method, the efficiency of steam generated by the water supply system is determined, the target function of the optimization algorithm is determined by analyzing the steam quality, the steam flow speed and the steam efficiency, the current control parameters are determined by minimizing the target function, and the method is beneficial for further reducing the negative influence of fluctuation on the system and achieving energy conservation, cost reduction and reliable operation.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply control, and more specifically, to a method for self-adaptive control of flow in 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 and generate steam, which is then used to 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, it is a technical challenge to achieve joint control of valves, pumps, pressure and flow, especially to automatically adjust the water supply according to the optimal steam quantity under different operating conditions. Any influence 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 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 water supply system flow adaptive control method specifically comprises 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 influence of the steam flow rate on steam generation, and determine the influence of the steam flow rate under different working conditions;

[0010] S3: Determine the energy output of steam by the steam enthalpy and steam mass flow rate, and compare it with the input energy consumed to generate the steam to determine the efficiency of steam 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, the steam flow rate generated by the steam generator is analyzed, including:

[0013] The logic for obtaining the steam quality related influence coefficient is as follows: according to the operation history of the steam generator under different working conditions, the steam quality fractions under different working conditions are collected, and the probability distribution of different steam quality fractions is fitted by the kernel density estimation of the steam quality fractions under different working conditions 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 time period, and marking the steam quality score collected by the current steam generator during the monitoring time 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 quality fraction collected by the current steam generator during the monitoring period are calculated by kernel density estimation. The formula for kernel density estimation is: Wherein, ZL is the steam quality fraction collected by the current steam generator in the monitoring time period, n = 1, 2, 3, ..., N, N is a positive integer, n is the number of the steam quality fraction collected in the monitoring time 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, the steam flow rate generated by the steam generator is analyzed, including:

[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, the calculation formula is: 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 enthalpy value and mass flow rate of steam. The calculation formula for the enthalpy value of steam 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; where E out is the energy output of steam;

[0024] Determine the input energy consumed to generate steam and label it 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: Where BY is the coefficient of variation of the 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, and 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 real-time monitoring of various system parameters, the optimization algorithm will adjust the system parameters according to the value of the current evaluation coefficient, 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 new values;

[0035] Based on the optimization evaluation coefficient as the objective function of the optimization algorithm, the system performance of the current state is evaluated, the new control parameters are calculated through the optimization algorithm, the objective function is minimized, the control parameters are adjusted according to the constraints, and they are 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, stop the optimization.

[0037] Technical effects and advantages of the present invention:

[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 can be further reduced, thereby 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 is further described below in conjunction with the accompanying drawings;

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

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

[0042] Example 1

[0043] Figure 1 A flow chart of a water supply system flow self-adaptive control method of the present invention is given, 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 influence of the steam flow rate on steam generation, and determine the influence of the steam flow rate under different working conditions;

[0046] S3: Determine the energy output of steam by the steam enthalpy and steam mass flow rate, and compare it with the input energy consumed to generate the steam to determine the efficiency of steam 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 usually composed of multiple devices and control modules, which can adjust key parameters such as water supply volume, pump load, pressure, flow rate, etc. according to real-time load changes and operating condition fluctuations to ensure the 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, softening, etc.) 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 pump 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 pump 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 kept within a certain range to ensure the normal operation of the system. Too high 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 adjust the amount of water flow, which is essential to ensure the normal operation of the steam generator. Flow valves are usually adjusted dynamically 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. According to the comprehensive analysis of steam quality, steam flow and steam efficiency, the optimal state of steam generation under different working conditions is determined, so as to adjust the various parameters in the water supply system 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 (large gas phase ratio) contains more energy and can drive steam turbines and other equipment more efficiently. The stability of steam quality is crucial because fluctuations can affect the operating efficiency of the system and the life of the equipment.

[0055] Steam flow rate is the total amount of steam passing through the steam pipeline 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 the system's ability to effectively convert fuel or other energy into steam energy. When steam efficiency is high, it 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 influence of steam quality fluctuation 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 the energy conversion efficiency and reducing unnecessary energy waste. By timely adjusting the system operating parameters, the heat loss caused by steam quality fluctuation is avoided, thereby improving the thermal efficiency of the system and ensuring that steam generation is always in the best state.

[0058] The logic for obtaining the steam quality related influence coefficient is as follows: according to the operation history of the steam generator under different working conditions, the steam quality fractions under different working conditions are collected, and the probability distribution of different steam quality fractions is fitted by the kernel density estimation of the steam quality fractions under different working conditions 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 time period, and marking the steam quality score collected by the current steam generator during the monitoring time period as: ZL;

[0060] It should be noted that the monitoring time period is set by professional staff, and 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 quality fraction collected by the current steam generator during the monitoring period are calculated by kernel density estimation. The formula for kernel density estimation is: Wherein, ZL is the steam quality fraction collected by the current steam generator in the monitoring time period, n = 1, 2, 3, ..., N, N is a positive integer, n is the number of the steam quality fraction collected in the monitoring time 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 the fluctuation of steam quality on the optimal state of steam production by the steam generator, which means 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 influence accumulation coefficient is determined. The steam flow rate influence accumulation coefficient is used to analyze the influence of the steam flow rate on steam generation. By analyzing the influence of the steam flow rate on the steam generator, the influence of the steam flow rate on steam quality, steam temperature, pressure and other parameters under different working conditions can be more accurately understood.

[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, the calculation formula is: 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 will decrease or the steam flow will be unstable, affecting the energy efficiency of the entire system. This means that it is necessary to reduce energy losses and improve the energy utilization of the system by adjusting control parameters such as valves and pump speeds.

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

[0070] Under different working conditions (such as load changes, environmental changes, system status changes, etc.), the optimal valve opening will change. 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 working conditions in real time to ensure maximum steam efficiency.

[0071] The operation of the 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 operation of the system to avoid reduced system efficiency or instability due to fluctuations in certain parameters;

[0072] Through the optimization algorithm, the feed water flow can be adjusted dynamically to avoid the problem of excessive or insufficient steam. Proper adjustment of the valve opening can reduce energy waste and achieve more efficient steam production. For example, the feed water flow can be reduced at low load to avoid excessive steam and reduce unnecessary energy consumption.

[0073] The logic for obtaining the steam efficiency fluctuation coefficient is: obtaining the enthalpy value and mass flow rate of steam. The calculation formula for the enthalpy value of steam 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 contained in a unit mass of steam, and enthalpy can be determined by thermodynamic tables or the temperature and pressure of steam. It is usually calculated using a steam table (such as a steam enthalpy table) or using a state equation, and the mass flow rate of steam is determined by 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; where E out is the energy output of steam;

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

[0077] It should be noted that input energy refers to the energy consumed to generate steam, which usually includes the heat of 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: Where BY is the coefficient of variation of the 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, and 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 real-time monitoring of various system parameters, the optimization algorithm will adjust the system parameters according to the value of the current evaluation coefficient, 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] Based on the optimization evaluation coefficient as the objective function of the optimization algorithm, the system performance of the current state is evaluated, the new control parameters are calculated through the optimization algorithm, the objective function is minimized, the control parameters are adjusted according to the constraints, and they are 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, stop the optimization.

[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 can be further reduced, thereby achieving energy saving, cost reduction and reliable operation.

[0090] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula 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 by 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 programs 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 site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access 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 hard disk.

[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 of ordinary skill 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 to be beyond the scope of this application.

[0094] Those skilled in the art can 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 the present 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 only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, 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 can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0097] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope 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 influence of the steam flow rate on steam generation, and determine the influence of the steam flow rate under different working conditions; S3: Determine the energy output of steam by the steam enthalpy and steam mass flow rate, and compare it with the input energy consumed to generate the steam to determine the efficiency of steam 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 rates from steam generators, including: The logic for obtaining the steam quality related influence coefficient is as follows: according to the operation history of the steam generator under different working conditions, the steam quality fractions under different working conditions are collected, and the probability distribution of different steam quality fractions is fitted by the kernel density estimation of the steam quality fractions under different working conditions 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 time period, and marking the steam quality score collected by the current steam generator during the monitoring time 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 quality fraction collected by the current steam generator during the monitoring period are calculated by kernel density estimation. The formula for kernel density estimation is: Wherein, ZL is the steam quality fraction collected by the current steam generator in the monitoring time period, n = 1, 2, 3, ..., N, N is a positive integer, n is the number of the steam quality fraction collected in the monitoring time 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 rates 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, the calculation formula is: 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 generation in the feedwater system, including: The logic for obtaining the steam efficiency fluctuation coefficient is: obtaining the enthalpy value and mass flow rate of steam. The calculation formula for the enthalpy value of steam 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; where E out is the energy output of steam; Determine the input energy consumed to generate steam and label it 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: Where BY is the coefficient of variation of the 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, and 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 real-time monitoring of various system parameters, the optimization algorithm will adjust the system parameters according to the value of the current evaluation coefficient, 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 new values; Based on the optimization evaluation coefficient as the objective function of the optimization algorithm, the system performance of the current state is evaluated, the new control parameters are calculated through the optimization algorithm, the objective function is minimized, the control parameters are adjusted according to the constraints, and they are fed back to the system; Set the optimization evaluation coefficient threshold. When the optimization evaluation coefficient is less than the optimization evaluation coefficient threshold, stop the optimization.

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