A multi-stage cooling water management method and system based on fuzzy feedforward

Abstract

The present invention relates to the technical field of multi-stage cooling water management, and specifically to a multi-stage cooling water management method and system based on fuzzy feedforward, wherein the management method comprises: real-time monitoring and tracking of cooling water valve opening information at each level; calculating fuzzy feedforward amount according to cooling water valve opening information; completing instruction adjustment based on application of fuzzy feedforward amount; optimizing the adjustment process according to management results; the present invention ensures precise control of the cooling water system by adopting the technology of real-time monitoring and tracking of cooling water valve opening information at each level, thereby realizing effective management of cooling water valve opening and improving the operation efficiency of the cooling water system; by calculating fuzzy feedforward amount according to cooling water valve opening information, the present invention can predict demand changes of the cooling water system and make adjustments in advance, effectively avoiding the problem of system response lag and improving the real-time and accuracy of cooling water management.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-stage cooling water management, and in particular to a multi-stage cooling water management method and system based on fuzzy feedforward. Background Art

[0002] In the current cooling water regulation used in power plants and other industrial fields, the traditional cooling water management method mainly relies on PID (Proportional Integral Derivative) controller for regulation, but there are the following problems in practical applications:

[0003] The parameters of the PID controller need to be adjusted according to the dynamic characteristics of the actual system, and parameter adjustment under different working conditions often requires manual intervention, which is time-consuming and labor-intensive;

[0004] Under PID control, the desuperheating water regulation may be over-regulated or under-regulated, resulting in unstable system temperature and affecting the safety and efficiency of the unit operation.

[0005] There may be mutual influence and interference between the different levels of cooling water regulation, resulting in inaccurate regulation and failure to maintain the ideal temperature;

[0006] Therefore, in response to the above problems, the present invention proposes a multi-stage cooling water management method and system based on fuzzy feedforward, aiming to improve the regulation performance and stability of the system, reduce the cost of manual intervention, and ensure the safe, economical and environmentally friendly operation of the unit. Summary of the invention

[0007] In view of the above-mentioned problems, the present invention is proposed.

[0008] Therefore, the present invention provides a multi-stage cooling water management method based on fuzzy feedforward. By adopting the technology of real-time monitoring and tracking the opening information of cooling water regulating valves at each level, the precise regulation of the cooling water system is ensured, thereby realizing effective management of the cooling water regulating valve opening and improving the operating efficiency of the cooling water system; by calculating the fuzzy feedforward amount according to the cooling water regulating valve opening information, the present invention can predict the demand changes of the cooling water system and make adjustments in advance, effectively avoiding the problem of system response lag and improving the real-time and accuracy of cooling water management.

[0009] In order to solve the above technical problems, the present invention provides the following technical solutions: a multi-stage cooling water management method based on fuzzy feedforward, comprising the following steps:

[0010] Real-time monitoring and tracking of the opening information of cooling water valves at all levels;

[0011] Calculate the fuzzy feedforward quantity according to the opening information of the cooling water regulating valve;

[0012] The command adjustment is completed based on the application of fuzzy feedforward quantity;

[0013] Optimize the adjustment process based on management results.

[0014] As a preferred solution of the multi-stage desuperheating water management method based on fuzzy feedforward described in the present invention, wherein: the real-time monitoring and tracking of the opening information of the desuperheating water regulating valves at each level is achieved by using sensors to monitor the opening information of the desuperheating water regulating valves in real time, and filtering the collected desuperheating water regulating valve opening information to ensure the accuracy of the opening information, so as to facilitate the subsequent calculation of the fuzzy feedforward amount;

[0015] The sensor is installed on the valve rotation axis and determines the opening of the cooling water valve by measuring the rotation angle. The specific implementation formula is as follows:

[0016] K=f(S)

[0017] Wherein, S represents the raw data output by the sensor, which is the information collected by the sensor in real time; f(S) represents the conversion function, which is used to convert the raw data S output by the sensor into the angle information of the opening of the cooling water regulating valve; K represents the opening information of the cooling water regulating valve, which is the calculation result of the conversion function.

[0018] As a preferred solution of the multi-stage desuperheating water management method based on fuzzy feedforward described in the present invention, the filtering process of the collected desuperheating water regulating valve opening information is to use moving average filtering to smooth the average value of the collected opening information, thereby eliminating the influence of instantaneous noise, so that the collected opening information is more stable. The specific implementation process is as follows:

[0019] By setting a window size of N, which represents the total number of data points used in calculating the average, the data used is sorted in time series;

[0020] Starting from the data point at the current time, the average value of the data points in each window is calculated, and the calculated average value is used as the output result of this time;

[0021] According to the passage of time series, the average value is calculated repeatedly until all data are calculated, and the final output result is the processed opening information.

[0022] The specific implementation formula of the moving average filter is as follows:

[0023]

[0024] Where N is the window size, the number of data points used to calculate the average, and K is irepresents the cooling water regulating valve opening information collected at time i, and K′ represents the processed cooling water regulating valve opening information, which is used for the subsequent calculation of the fuzzy feedforward amount.

[0025] As a preferred solution of the multi-stage desuperheating water management method based on fuzzy feedforward described in the present invention, wherein: the calculation of the fuzzy feedforward amount according to the desuperheating water regulating valve opening information is to calculate the corresponding fuzzy feedforward amount using fuzzy logic based on the collected desuperheating water regulating valve opening information, and the specific implementation of calculating the corresponding fuzzy feedforward amount using fuzzy logic is as follows:

[0026] Using the collected opening information, the collected opening information is divided into fuzzy sets of different levels, including a primary set, a secondary set, and a tertiary set;

[0027] Establish fuzzy rules to associate the opening information with the divided fuzzy sets to determine the regulatory actions to be taken in different situations;

[0028] According to the established fuzzy rules, fuzzy logic is used for reasoning to determine the size of the fuzzy feedforward quantity;

[0029] The determined fuzzy feedforward quantity is mapped back to the corresponding adjustment quantity for the subsequent management of the cooling water regulating valve.

[0030] As a preferred solution of the multi-stage cooling water management method based on fuzzy feedforward described in the present invention, the fuzzy feedforward amount is determined based on fuzzy rules and reasoned through fuzzy logic. The fuzzy logic uses a triangular membership function to express the divided fuzzy set as a membership degree. The specific implementation formula is as follows:

[0031] μ i (x) = triangle (x; a i ,b i ,c i )

[0032] Among them, μ i (x) represents the membership of the i-th fuzzy set, x represents the collected opening information, a i 、b i 、c i They respectively represent the parameters of the triangular membership function, which are used to determine the shape and range of the membership curve, and further to determine the size and direction of the subsequent fuzzy feedforward quantity;

[0033] The fuzzy feedforward quantity is determined according to the application of fuzzy rules under different fuzzy sets. The specific implementation formula is as follows:

[0034]

[0035] Among them, F(x) represents the fuzzy feedforward amount, which is the adjustment amount calculated according to the current opening information, μ i (x) represents the membership of the i-th fuzzy set, x represents the collected opening information, Δi represents the increment of the fuzzy feedforward quantity corresponding to the i-th fuzzy set, which is the increment value determined according to the fuzzy rule, and is specifically determined as follows:

[0036] When the opening information satisfies the first-level set, Δ1 represents the incremental value that needs to be increased;

[0037] When the opening information satisfies the first-level set, Δ2 represents the incremental value with control margin;

[0038] When the opening information satisfies the first-level set, Δ3 represents the incremental value that needs to be reduced.

[0039] As a preferred solution of the multi-stage desuperheating water management method based on fuzzy feedforward described in the present invention, the application of the fuzzy feedforward quantity to complete the instruction adjustment is based on the calculated feedforward quantity and the corresponding opening information, and combined with the adder and leadlag module to perform instruction adjustment, and the specific adjustment is as follows:

[0040] When the opening information meets the first-level set, that is, the valve opening is lower than the lower limit of the safety range, the adder is triggered immediately, the control feedforward amount increases, and the valve opening instruction is directly entered to prevent PID regulation from diverging and adjust the desuperheating water valve opening to a safe range;

[0041] When the opening information satisfies the secondary set, that is, the valve opening is in the safe opening range and has a control margin, the adder is not triggered and the current feedforward amount is maintained;

[0042] When the opening information meets the three-level set, that is, the regulating valve opening is higher than the upper limit of the safety range, the adder is triggered immediately, the control feedforward amount is reduced, and the regulating valve opening instruction is directly entered to prevent PID regulation divergence and adjust the cooling water regulating valve opening to a safe range.

[0043] As a preferred solution of the multi-stage desuperheating water management method based on fuzzy feedforward described in the present invention, the adder is installed on the desuperheating water valve of each level, and as the applied feedforward amount, the applied feedforward amount is directly added to the throttle command of the current level, and does not participate in PID regulation, thereby avoiding the influence and divergence on PID. The specific implementation formula is as follows:

[0044] D e =D e ′+K′

[0045] Among them, D e ′ represents the original instruction, K′ represents the feedforward amount, D e Indicates new adjustment instructions;

[0046] The leadlag module is applied under the cooling water regulating valve of each level to control the fast opening and slow recovery of the feedforward amount. The specific implementation is as follows:

[0047] When feedforward is needed, quickly add the feedforward. The specific implementation formula is as follows:

[0048] K″=K′+G ain1

[0049] When the working condition is relieved, the feedforward amount needs to be recovered slowly. The specific implementation formula is as follows:

[0050] K″′=K″+G ain2

[0051] Among them, K″ represents the fast added feedforward amount, G ain1 represents the gain coefficient for controlling the adding speed, K″′ represents the feedforward amount of slow recovery, G ain2 Indicates the gain coefficient that controls the recovery speed.

[0052] Another object of the present invention is to provide a multi-stage cooling water management system based on fuzzy feedforward, which can complete command adjustment through the application of fuzzy feedforward quantity, so that the adjustment process of the cooling water system is smoother and continuous, reducing system fluctuations and ensuring the safe and stable operation of the unit; by optimizing the adjustment process according to the management results, continuously accumulating data and experience, and gradually improving the intelligence level of cooling water management, the need for human intervention is reduced, and the possibility of operational errors is reduced.

[0053] As a preferred solution of the multi-stage cooling water management system based on fuzzy feedforward described in the present invention, it includes: an opening information collection module, a fuzzy feedforward quantity calculation module, an instruction adjustment module and a regulation optimization module; the opening information collection module is used to collect and track the opening information of cooling water regulating valves at each level; the fuzzy feedforward quantity calculation module is used to calculate the fuzzy feedforward quantity according to the opening information; the instruction adjustment module realizes instruction adjustment based on the application of the fuzzy feedforward quantity; the regulation optimization module optimizes the cooling water regulation process.

[0054] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of a multi-stage cooling water management method based on fuzzy feedforward are implemented.

[0055] A computer-readable storage medium stores a computer program thereon, wherein when the computer program is executed by a processor, the steps of a multi-stage cooling water management method based on fuzzy feedforward are implemented.

[0056] Beneficial effects of the present invention: The present invention ensures precise control of the cooling water system by adopting the technology of real-time monitoring and tracking the opening information of the cooling water regulating valves at all levels, thereby realizing effective management of the cooling water regulating valve opening and improving the operating efficiency of the cooling water system; by calculating the fuzzy feedforward amount according to the cooling water regulating valve opening information, the present invention can predict the demand changes of the cooling water system and make adjustments in advance, effectively avoiding the problem of system response lag and improving the real-time and accuracy of cooling water management; by completing the instruction adjustment based on the application of the fuzzy feedforward amount, the adjustment process of the cooling water system is smoother and continuous, the system fluctuation is reduced, and the safe and stable operation of the unit is ensured; by optimizing the adjustment process according to the management results, data and experience are continuously accumulated, the intelligence level of cooling water management is gradually improved, the need for human intervention is reduced, and the possibility of operational errors is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0058] Figure 1 The figure is a schematic diagram of the overall method steps of a multi-stage cooling water management method based on fuzzy feedforward of the present invention.

[0059] Figure 2 The figure is a schematic diagram of the overall structure of a multi-stage cooling water management system based on fuzzy feedforward according to the present invention. DETAILED DESCRIPTION

[0060] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0061] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0062] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0063] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0064] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0065] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0066] Example 1

[0067] Reference Figure 1 , which is the first embodiment of the present invention, provides a multi-stage cooling water management method based on fuzzy feedforward, comprising the following steps:

[0068] S1: Real-time monitoring and tracking of the opening information of cooling water valves at all levels.

[0069] Specifically, the real-time monitoring and tracking of the opening information of the cooling water regulating valves at each level is achieved by using sensors to monitor the opening information of the cooling water regulating valves in real time, and filtering the collected opening information of the cooling water regulating valves to ensure the accuracy of the opening information for subsequent calculation of the fuzzy feedforward amount.

[0070] Furthermore, the sensor is installed on the valve rotation axis, and the opening of the cooling water valve is determined by measuring the rotation angle. The specific implementation formula is as follows:

[0071] K=f(S)

[0072] Wherein, S represents the raw data output by the sensor, which is the information collected by the sensor in real time; f(S) represents the conversion function, which is used to convert the raw data S output by the sensor into the angle information of the opening of the cooling water regulating valve; K represents the opening information of the cooling water regulating valve, which is the calculation result of the conversion function.

[0073] Furthermore, the filtering of the collected desuperheating water regulating valve opening information is to use moving average filtering to smooth the average value of the collected opening information, thereby eliminating the influence of instantaneous noise, so that the collected opening information is more stable. The specific implementation process is as follows:

[0074] By setting a window size of N, which represents the total number of data points used in calculating the average, the data used is sorted in time series;

[0075] Starting from the data point at the current time, the average value of the data points in each window is calculated, and the calculated average value is used as the output result of this time;

[0076] According to the passage of time series, the average value is calculated repeatedly until all data are calculated, and the final output result is the processed opening information.

[0077] The specific implementation formula of the moving average filter is as follows:

[0078]

[0079] Where N is the window size, the number of data points used to calculate the average, and K is i represents the cooling water regulating valve opening information collected at time i, and K′ represents the processed cooling water regulating valve opening information, which is used for the subsequent calculation of the fuzzy feedforward amount.

[0080] S2: Calculate the fuzzy feedforward value based on the cooling water valve opening information.

[0081] Specifically, the calculation of the fuzzy feedforward amount according to the desuperheating water regulating valve opening information is to calculate the corresponding fuzzy feedforward amount using fuzzy logic according to the collected desuperheating water regulating valve opening information. The specific implementation of calculating the corresponding fuzzy feedforward amount using fuzzy logic is as follows:

[0082] Using the collected opening information, the collected opening information is divided into fuzzy sets of different levels, including a primary set, a secondary set, and a tertiary set;

[0083] Establish fuzzy rules to associate the opening information with the divided fuzzy sets to determine the regulatory actions to be taken in different situations;

[0084] According to the established fuzzy rules, fuzzy logic is used for reasoning to determine the size of the fuzzy feedforward quantity;

[0085] The determined fuzzy feedforward quantity is mapped back to the corresponding adjustment quantity for the subsequent management of the cooling water regulating valve.

[0086] Furthermore, the different levels of fuzzy sets are divided into different fuzzy sets using the collected opening information, including a first-level set with opening information of K′≤30%, a second-level set with opening information of 30%<K′<70%, and a third-level set with opening information of K′≥70%;

[0087] The fuzzy rule is to associate the collected opening information with the determined fuzzy set, and the specific association is as follows:

[0088] When the opening information meets the first-level set, it means that the current valve opening is lower than the lower limit of the valve safety range. It is necessary to add fuzzy feedforward to the previous level, directly enter the valve opening instruction, increase the valve opening, to prevent PID regulation divergence, and adjust the cooling water valve opening to a safe range.

[0089] When the opening information meets the secondary set, it means that the current valve opening is in the safe opening range, and there is a control margin, which can avoid over-temperature and under-temperature caused by the valve losing control after reaching the upper and lower limits;

[0090] When the opening information meets the three-level set, it means that the current regulating valve opening is higher than the upper limit of the regulating valve safety range. It is necessary to add fuzzy feedforward to the previous one, directly enter the regulating valve opening instruction, reduce the regulating valve opening, so as to prevent PID adjustment divergence and adjust the cooling water regulating valve opening to a safe range.

[0091] Furthermore, the size of the fuzzy feedforward quantity is determined based on fuzzy rules and reasoned through fuzzy logic. The fuzzy logic uses a triangular membership function to represent the divided fuzzy set as a membership degree. The specific implementation formula is as follows:

[0092] μ i (x) = triangle (x; a i ,b i ,c i )

[0093] Among them, μ i (x) represents the membership of the i-th fuzzy set, x represents the collected opening information, a i 、b i 、c i They respectively represent the parameters of the triangular membership function, which are used to determine the shape and range of the membership curve, and further to determine the size and direction of the subsequent fuzzy feedforward quantity;

[0094] The fuzzy feedforward quantity is determined according to the application of fuzzy rules under different fuzzy sets. The specific implementation formula is as follows:

[0095]

[0096] Among them, F(x) represents the fuzzy feedforward amount, which is the adjustment amount calculated according to the current opening information, μ i (x) represents the membership of the i-th fuzzy set, x represents the collected opening information, Δi represents the increment of the fuzzy feedforward quantity corresponding to the i-th fuzzy set, which is the increment value determined according to the fuzzy rule, and is specifically determined as follows:

[0097] When the opening information satisfies the first-level set, Δ1 represents the incremental value that needs to be increased;

[0098] When the opening information satisfies the first-level set, Δ2 represents the incremental value with control margin;

[0099] When the opening information satisfies the first-level set, Δ3 represents the incremental value that needs to be reduced.

[0100] It should be noted that the size and direction of the fuzzy feedforward amount are determined according to the fuzzy set corresponding to the opening information. The membership degree of each fuzzy set determines its contribution to the fuzzy feedforward amount, and the increase and decrease of the fuzzy feedforward amount are determined according to fuzzy rules, reflecting the adjustment behavior that should be taken under different opening information to keep the tuning valve within a safe range.

[0101] S3: The command adjustment is completed based on the application of the fuzzy feedforward quantity.

[0102] Specifically, the command adjustment based on the application of the fuzzy feedforward quantity is performed according to the calculated feedforward quantity and the corresponding opening information, and combined with the adder and leadag module to adjust the command. The specific adjustment is as follows:

[0103] When the opening information meets the first-level set, that is, the valve opening is lower than the lower limit of the safety range, the adder is triggered immediately, the control feedforward amount increases, and the valve opening instruction is directly entered to prevent PID regulation from diverging and adjust the desuperheating water valve opening to a safe range;

[0104] When the opening information satisfies the secondary set, that is, the valve opening is in the safe opening range and has a control margin, the adder is not triggered and the current feedforward amount is maintained;

[0105] When the opening information meets the three-level set, that is, the regulating valve opening is higher than the upper limit of the safety range, the adder is triggered immediately, the control feedforward amount is reduced, and the regulating valve opening instruction is directly entered to prevent PID regulation divergence and adjust the cooling water regulating valve opening to a safe range.

[0106] Furthermore, the adder is installed on each level of the cooling water valve as the feedforward of the application. The feedforward of the application is directly added to the valve adjustment instruction of the current level and does not participate in PID regulation, thereby avoiding the influence and divergence on PID. The specific implementation formula is as follows:

[0107] D e =D e ′+K′

[0108] Among them, D e ′ represents the original instruction, K′ represents the feedforward amount, D e Indicates new adjustment instructions;

[0109] The leadlag module is applied under the cooling water regulating valve of each level to control the fast opening and slow recovery of the feedforward amount. The specific implementation is as follows:

[0110] When feedforward is needed, quickly add the feedforward. The specific implementation formula is as follows:

[0111] K″=K′+G ain1

[0112] When the working condition is relieved, the feedforward amount needs to be recovered slowly. The specific implementation formula is as follows:

[0113] K″′=K″+G ain2

[0114] Among them, K″ represents the fast added feedforward amount, G ain1 represents the gain coefficient for controlling the adding speed, K″′ represents the feedforward amount of slow recovery, G ain2 Indicates the gain coefficient that controls the recovery speed.

[0115] It should be noted that when the next level of desuperheating water control valve opening meets the first set or the third set, it will lead to the loss of adjustment margin. At this time, the adder of the previous level will be triggered, and then the feedforward amount will be added to the control valve command for adjustment;

[0116] Through the application of fuzzy feedforward and adder, there can be sufficient margin at each level of regulation, and they can operate independently of each other. When any level loses the adjustment margin, the adder can give the corresponding fuzzy feedforward to form multi-level management, ensuring the stability and efficiency of the cooling water regulation system under different working conditions.

[0117] S4: Optimize the adjustment process based on the management results.

[0118] Specifically, the optimization of the adjustment process according to the management results is to optimize the links in the valve adjustment process of the multi-stage desuperheating water, as follows:

[0119] For the optimization of fast opening and slow closing, when a quick response is required, the fast opening and slow closing are optimized by dynamically adjusting the gain coefficient. The fast opening and slow closing are controlled by adjusting the gain coefficient. When the opening information of the valve approaches the safe range, the gain coefficient is reduced until the opening information fully meets the safe range. By dynamically adjusting the gain coefficient, the increase speed of the feedforward amount can be gradually reduced, making the valve adjustment process more stable and avoiding over-adjustment and oscillation.

[0120] For the optimization of the safety threshold range, the valve opening safety interval is adjusted in real time according to the operating conditions and equipment performance changes. When updating the safety interval, a control margin is left. When the valve opening deviates from the safety range, the fuzzy feedforward and adder are immediately triggered to adjust it to the safety interval in time. The safety interval is updated in time to avoid over-temperature and under-temperature caused by sudden operating conditions.

[0121] It should be noted that through the optimization strategy, the multi-stage cooling water management method can operate stably under different working conditions and respond quickly to adjustment needs. It can also improve the level of automation, reduce manual intervention and improve work efficiency.

[0122] Example 2

[0123] Reference Figure 2 , which is the second embodiment of the present invention, provides a multi-stage cooling water management system based on fuzzy feedforward, including an opening information collection module, a fuzzy feedforward quantity calculation module, an instruction adjustment module and a regulation optimization module;

[0124] Specifically, the opening information collection module is used to collect and track the opening information of the cooling water regulating valves at each level; the fuzzy feedforward calculation module is used to calculate the fuzzy feedforward according to the opening information; the instruction adjustment module implements instruction adjustment based on the application of the fuzzy feedforward; the regulation optimization module optimizes the cooling water regulation process.

[0125] Furthermore, the opening information collection module is the information input end of the entire system, responsible for real-time and accurate collection of the opening information of the cooling water regulating valves at all levels. The opening information collection module continuously monitors the opening changes of the regulating valves through high-precision sensor equipment, and pre-processes the collected data, including filtering and denoising, to ensure the accuracy and reliability of the data. This information provides basic data support for the calculation and adjustment of subsequent modules;

[0126] The fuzzy feedforward quantity calculation module receives data from the opening information collection module, and calculates the fuzzy feedforward quantity according to the preset fuzzy control rules and algorithms; the fuzzy feedforward quantity calculation module uses fuzzy mathematics theory to convert the opening information into fuzzy quantity, and calculates the appropriate fuzzy feedforward quantity according to the real-time status and requirements of the system; this calculation result provides an important reference basis for the instruction adjustment module;

[0127] The command adjustment module adjusts the command of the desuperheating water regulating system based on the calculation result of the fuzzy feedforward quantity; the command adjustment module dynamically adjusts the opening command of the desuperheating water regulating valve according to the change trend and size of the fuzzy feedforward quantity to achieve accurate control of the desuperheating water flow rate; through the function of the command adjustment module, the system can quickly respond to changes in the desuperheating water demand and maintain stable operation of equipment such as boilers;

[0128] The regulation and optimization module is the feedback and optimization link of the entire system; the regulation and optimization module monitors and evaluates the cooling water regulation process in real time, and optimizes and adjusts the regulation strategy according to the system's operating results and performance indicators; by collecting and analyzing historical data, the regulation and optimization module can continuously optimize the fuzzy control rules and algorithms to improve the system's regulation accuracy and response speed; at the same time, the regulation and optimization module can also warn and handle possible abnormal situations to ensure the stability and safe operation of the system.

[0129] It should be noted that through the close cooperation and interaction of the above four modules, the multi-level desuperheating water management system based on fuzzy feedforward can achieve accurate control and optimal regulation of desuperheating water flow, improve the operating efficiency and stability of equipment such as boilers; the functions of each module are closely related, forming a complete system, which has important value and significance in practical applications.

[0130] Furthermore, 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 invention, 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, which 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 each embodiment of the present invention. 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.

[0131] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0132] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0133] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0134] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0135] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A multi-stage desuperheating water management method based on fuzzy feedforward, characterized in that: The following steps are included: Real-time monitoring and tracking of the opening information of cooling water valves at all levels; Calculate the fuzzy feedforward quantity according to the opening information of the cooling water regulating valve; The command adjustment is completed based on the application of fuzzy feedforward quantity; Optimize the adjustment process based on management results; The method of calculating the fuzzy feedforward amount according to the desuperheating water regulating valve opening information is to calculate the corresponding fuzzy feedforward amount by using fuzzy logic according to the collected desuperheating water regulating valve opening information. The specific implementation of calculating the corresponding fuzzy feedforward amount by using fuzzy logic is as follows: Using the collected opening information, the collected opening information is divided into fuzzy sets of different levels, including a primary set, a secondary set, and a tertiary set; Establish fuzzy rules to associate the opening information with the divided fuzzy sets to determine the regulatory actions to be taken in different situations; According to the established fuzzy rules, fuzzy logic is used for reasoning to determine the size of the fuzzy feedforward quantity; Map the determined fuzzy feedforward quantity back to the corresponding adjustment quantity for the subsequent management of the cooling water valve; The determination of the size of the fuzzy feedforward quantity is based on fuzzy rules and is inferred through fuzzy logic. The fuzzy logic uses a triangular membership function to represent the divided fuzzy set as a membership degree. The specific implementation formula is as follows: m i (x)=triangle(x;a i ,b i ,c i ) Among them, μ i (x) represents the membership of the i-th fuzzy set, x represents the collected opening information, a i 、b i 、c i They respectively represent the parameters of the triangular membership function, which are used to determine the shape and range of the membership curve, and further to determine the size and direction of the subsequent fuzzy feedforward quantity; The fuzzy feedforward quantity is determined according to the application of fuzzy rules under different fuzzy sets. The specific implementation formula is as follows: Among them, F(x) represents the fuzzy feedforward amount, which is the adjustment amount calculated according to the current opening information, μ i (x) represents the membership of the i-th fuzzy set, x represents the collected opening information, Δi represents the increment of the fuzzy feedforward quantity corresponding to the i-th fuzzy set, which is the increment value determined according to the fuzzy rule, and is specifically determined as follows: When the opening information satisfies the first-level set, Δ1 represents the incremental value that needs to be increased; When the opening information satisfies the first-level set, Δ2 represents the incremental value with control margin; When the opening information satisfies the first-level set, Δ3 represents the incremental value that needs to be reduced; The application of the fuzzy feedforward quantity to complete the instruction adjustment is based on the calculated feedforward quantity and the corresponding opening information, and combined with the adder and leadlag module to perform instruction adjustment. The specific adjustment is as follows: When the opening information meets the first-level set, that is, the valve opening is lower than the lower limit of the safety range, the adder is triggered immediately, the control feedforward amount increases, and the valve opening instruction is directly entered to prevent PID regulation from diverging and adjust the desuperheating water valve opening to a safe range; When the opening information satisfies the secondary set, that is, the valve opening is in the safe opening range and has a control margin, the adder is not triggered and the current feedforward amount is maintained; When the opening information meets the three-level set, that is, the valve opening is higher than the upper limit of the safety range, the adder is triggered immediately, the control feedforward amount is reduced, and the valve opening instruction is directly entered to prevent PID regulation from diverging and adjust the desuperheating water valve opening to a safe range; The adder is installed on each level of the desuperheated water valve as the applied feedforward. The applied feedforward is directly added to the current level of the valve adjustment instruction and does not participate in PID regulation, thereby avoiding the impact and divergence on PID. The specific implementation formula is as follows: D e =D e ′+K′ Among them, D e ′ represents the original instruction, K′ represents the feedforward amount, D e Indicates new adjustment instructions; The leadlag module is applied under the cooling water regulating valve of each level to control the fast opening and slow recovery of the feedforward amount. The specific implementation is as follows: When feedforward is needed, quickly add the feedforward. The specific implementation formula is as follows: K″=K′+G ain1 When the working condition is relieved, the feedforward amount needs to be recovered slowly. The specific implementation formula is as follows: K″′=K″+G ain2 Among them, K″ represents the fast added feedforward amount, G ain1 represents the gain coefficient for controlling the adding speed, K″′ represents the feedforward amount of slow recovery, G ain2 Indicates the gain coefficient that controls the recovery speed.

2. A multi-stage cooling water management method based on fuzzy feedforward as claimed in claim 1, characterized in that: The real-time monitoring and tracking of the opening information of the desuperheating water regulating valves at each level is achieved by using sensors to monitor the opening information of the desuperheating water regulating valves in real time, and filtering the collected opening information of the desuperheating water regulating valves to ensure the accuracy of the opening information, so as to facilitate the subsequent calculation of the fuzzy feedforward amount; The sensor is installed on the valve rotation axis and determines the opening of the cooling water valve by measuring the rotation angle. The specific implementation formula is as follows: K=f(S) Wherein, S represents the raw data output by the sensor, which is the information collected by the sensor in real time; f(S) represents the conversion function, which is used to convert the raw data S output by the sensor into the angle information of the opening of the cooling water regulating valve; K represents the opening information of the cooling water regulating valve, which is the calculation result of the conversion function.

3. A multi-stage cooling water management method based on fuzzy feedforward as claimed in claim 2, characterized in that: The filtering process of the collected desuperheating water regulating valve opening information is to use moving average filtering to smooth the average value of the collected opening information, thereby eliminating the influence of instantaneous noise, so that the collected opening information is more stable. The specific implementation process is as follows: By setting a window size of N, which represents the total number of data points used in calculating the average, the data used is sorted in time series; Starting from the data point at the current time, the average value of the data points in each window is calculated, and the calculated average value is used as the output result of this time; According to the passage of time series, the average value is calculated repeatedly until all data are calculated, and the final output result is the processed opening information; The specific implementation formula of the moving average filter is as follows: Where N is the window size, the number of data points used to calculate the average, and K is i represents the cooling water regulating valve opening information collected at time i, and K′ represents the processed cooling water regulating valve opening information, which is used for the subsequent calculation of the fuzzy feedforward amount.

4. A system using the multi-stage cooling water management method based on fuzzy feedforward as claimed in any one of claims 1 to 3, characterized in that: Including, opening information collection module, fuzzy feedforward quantity calculation module, instruction adjustment module and regulation optimization module; The opening information collection module is used to collect and track the opening information of the cooling water valves at various levels; The fuzzy feedforward amount calculation module is used to calculate the fuzzy feedforward amount according to the opening information; The instruction adjustment module realizes instruction adjustment based on the application of fuzzy feedforward quantity; The regulation optimization module optimizes the cooling water regulation process.

5. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 3 are implemented.

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