Guide vane position control method and system based on different operation modes

Abstract

The invention discloses a guide vane position control method and system based on different operation modes, and belongs to the technical field of fluid dynamic control and intelligent control systems.The method comprises the steps that user operation behavior data are collected through a sensor and preprocessed; identifying a current working scene, carrying out scene operation mode distribution, and adjusting control parameters of the guide vane in different operation modes; the optimal guide vane position is calculated, and the position of the guide vane is adjusted in real time through a control algorithm to achieve the optimal fluid guiding effect; and the operation effect of the guide vane is monitored in real time to continuously optimize control parameters. According to the invention, comprehensive understanding of operation behaviors of a water turbine user is realized, a foundation is laid for dynamic self-adaptive control, the intelligent level of equipment is improved, the burden of operators is reduced, the optimal performance of the equipment is ensured, and optimization of a fluid guiding effect is realized; it is guaranteed that the water turbine has efficient, intelligent and reliable control capacity in the load fluctuation and abnormal environment, and progress of the power industry is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of fluid dynamics control and intelligent control systems, and in particular to a guide vane position control method and system based on different operating modes. Background Art

[0002] In recent years, as an important equipment for renewable energy power generation, the control technology of hydraulic turbines has been continuously developed, especially in the control of guide vane position. The position of the guide vane directly affects the fluid performance and power generation efficiency of the turbine, so the research on its control method has always been a hot topic in the field of engineering technology. With the changes in power load demand, the traditional fixed method can no longer meet the ever-changing grid dispatching needs, so dynamic guide vane control technology based on different operating modes has emerged. Existing guide vane control methods usually rely on simple preset parameters or adjust based on single factors such as flow and speed. They lack flexibility and intelligence and are often difficult to quickly adapt to load fluctuations. With the development of intelligent sensors and data processing technology, the research on introducing adaptive algorithms for guide vane control has gradually increased. Through real-time monitoring and data analysis, dynamically adjusting the optimal position of the guide vane has become an important direction for improving the operating efficiency of turbines.

[0003] However, the existing guide vane control methods often show shortcomings such as response delay and untimely adjustment under rapidly changing load and fluid conditions. For example, in working conditions with frequent load changes, the traditional method cannot adjust the guide vane position in real time, resulting in the turbine output power being unable to keep up with the fluctuation of power demand, limiting the improvement of power generation efficiency. In addition, under equipment maintenance or no-load conditions, users often implement it at a low frequency, lack of an intelligent recommendation system, and cannot fully utilize the potential of the equipment, and will increase the user's operating burden. In the case of equipment failure or fluid abnormality, the existing methods often fail to detect and take effective measures in time, resulting in an increased risk of equipment damage. Therefore, there is an urgent need for an intelligent and dynamically adaptive guide vane position control method to cope with the demand fluctuations of power grid dispatching and improve the performance and reliability of turbines under various working conditions. The guide vane position control method based on different operating modes of the present invention collects and analyzes user operation behavior data through sensors, can quickly identify working scenes and make intelligent adjustments under various conditions such as load changes, maintenance status, stable power generation and equipment failure, and provides a new solution for the efficient operation of turbines. Summary of the invention

[0004] In view of the above existing problems, the purpose of the present invention is to solve the problems of insufficient flexibility, long response delay and low intelligence of the existing guide vane control method. By intelligently controlling the guide vane position based on different operating modes, the present invention aims to improve the adaptability of the turbine to fluctuations in grid dispatching demand, optimize the working efficiency of the guide vanes, reduce the user's operating burden, and ensure the stable operation of the turbine under various working conditions. Specifically, the technology has significant effects in the following application scenarios: under working conditions with frequent load changes, the turbine output frequency can be quickly adjusted to improve power generation efficiency; in maintenance or no-load state, human intervention is reduced through intelligent recommendation to ensure that the guide vanes are in the best position; under stable power generation conditions, the guide vane layout is optimized to maintain long-term stable operation; in the event of equipment failure or fluid abnormality, a rapid response and adjustment strategy is provided to reduce the risk of equipment damage. Through real-time monitoring and automatic adjustment, the present invention will greatly improve the intelligence and reliability of turbine operation and promote its application and popularization in the field of energy generation.

[0005] In order to solve the above technical problems, a guide vane position control method based on different operation modes is proposed, including:

[0006] Collect user operation behavior data through sensors and perform preprocessing; identify the current working scene and allocate scenario-based operation modes, and adjust the control parameters of the guide vanes in different operation modes; calculate the optimal guide vane position and adjust the guide vane position in real time through control algorithms to achieve the best fluid guiding effect; monitor the operating effect of the guide vanes in real time to continuously optimize the control parameters.

[0007] As a preferred solution of the guide vane position control method based on different operation modes described in the present invention, wherein: the user operation behavior data includes the number of operations, duration and operation type;

[0008] The preprocessing includes removing data points with negative operation times or zero duration, completing missing data, extracting operation frequency, average duration, and proportion of each operation type from the original data, analyzing the time interval and regular periodicity of the average duration and scaling the characteristic values ​​to the same range, and obtaining the final operation frequency, average duration, and proportion of each operation type;

[0009] Determine the current work scenario based on the final user operation behavior data:

[0010] When the operation frequency is on the rise, different operation types occur frequently and the duration is short, it is judged as scenario one;

[0011] When the operation frequency shows a downward trend, the operation types are concentrated between any two types of operations, and the operation interval is long, it is judged as scenario 2;

[0012] When the operation frequency fluctuates in a stable and regular manner, the number of operations is within the expected range, and the operation type is a regular operation, it is judged as scenario three;

[0013] When the operation frequency rises sharply and fluctuates abnormally and irregularly, the duration increases, and the operation type has exception processing, it is judged as scenario four.

[0014] As a preferred solution of the guide vane position control method based on different operation modes described in the present invention, the scenario-based operation mode includes: according to different scenarios obtained, a clustering algorithm is used to identify user behavior patterns, and the guide vane position control parameters are automatically adjusted according to the identified patterns:

[0015] For the scenario 1, a frequent operation mode is assigned, the visibility and response time of the guide vanes are adjusted, and the display time τ is set to achieve a second-level response:

[0016] P frequent =P0+k1·τ

[0017] Among them, P frequent is the guide vane position control parameter in the frequent operation mode, P0 is the initial guide vane position control parameter of the system, k1 is the adjustment coefficient reflecting the influence of frequent operation on parameter adjustment, and τ is the set display standard response time;

[0018] For scenario 2, assign lazy operation mode, add smart recommendations for default settings, and use normalized data streams:

[0019]

[0020] Among them, P lazy is the guide vane position control parameter in lazy operation mode, n is the number of operation behavior features considered, i is the variable index, k2 is the weight parameter of the influence of different features on the guide vane position, is the time decay function of feature i, τ i is the time of feature operation, τ i Description Over time, the influence of the characteristics on the guide vane position decreases.

[0021] As a preferred solution of the guide vane position control method under different operation modes described in the present invention, the scenario-based operation mode further includes, for the scenario three, allocating a conventional operation mode and adjusting the stability of the guide vane layout:

[0022] P routine =P0+k3·const(X)

[0023] Among them, P routineis the guide vane position control parameter in the normal operation mode, k2 is the adjustment coefficient of the influence of normal operation on parameter adjustment, and const(X') is the constant of the environmental variable X';

[0024] For scenario 4, assign abnormal operation mode, set notification frequency, and dynamically adjust information display of guide vane position:

[0025]

[0026] Among them, P abnormal is the guide vane position control parameter under abnormal operation mode, m is the number of abnormal operation types considered, k i is the weight of the influence of the ith abnormal operation type on the guide vane position, ω i To simulate the frequency of periodic changes caused by abnormal operation, I i is the information intensity of the ith abnormal operation type, reflecting the severity of the abnormality; NF i is the notification frequency of the i-th abnormal operation type.

[0027] As a preferred solution of the guide vane position control method based on different operating modes according to the present invention, wherein: the calculation of the optimal guide vane position includes, according to the obtained adjusted control parameter results of different operating modes, based on the current guide vane position, inputting different adjusted control parameters P mode , P mode = {P frequent ,P lazy ,P routine ,P abnormal}, calculate the optimal guide vane position under different operation modes;

[0028] The current guide vane is adjusted to the optimal position according to the calculation results for trial operation, and the guide vane fluid guiding performance data during the trial operation is obtained through sensors to determine whether the optimal fluid guiding effect can be achieved after adjustment.

[0029] As a preferred solution of the guide vane position control method under different operation modes described in the present invention, wherein: the optimal fluid guiding effect includes testing the fluid guiding effect and obtaining a fluid guiding effect evaluation value;

[0030] When the fluid guiding effect evaluation value is less than the first threshold value, the fluid guiding effect is judged to be unqualified, and the guide vane position is recalculated and adjusted;

[0031] When the first threshold value ≤ the fluid guiding effect evaluation value < the second threshold value, the fluid guiding effect is judged to be qualified, but the control parameters still need to be optimized;

[0032] When the fluid guiding effect evaluation value is ≥ the second threshold value, the fluid guiding effect is judged to be ideal and meets the design requirements, and the current setting is maintained and long-term monitoring is performed.

[0033] As a preferred solution of the guide vane position control method under different operation modes described in the present invention, the optimization control parameters include, when the fluid guiding effect is judged to be unqualified, calculating the error between the current turbine flow and the rated turbine flow, inputting the error into the control parameter calculation formula that needs to be adjusted, re-adjusting the control parameter and inputting it into the optimal position calculation, and continuously circulating until the fluid guiding effect is judged to be qualified;

[0034] When the fluid guiding effect is judged to be qualified and in the normal operation mode, real-time data is continuously acquired to update the optimal position until the fluid guiding effect is judged to be ideal or less than 10% of the ideal value;

[0035] When the fluid guiding effect is judged to be qualified and in abnormal operation mode, the maximum time that the turbine guide vanes can work normally is predicted based on the current data, and the abnormality is corrected within the maximum time range. When the abnormality correction is completed, the turbine guide vanes are switched to normal operation mode.

[0036] Another object of the present invention is to provide a guide vane position control system based on different operating modes. The present invention optimizes the position of the guide vane in real time through a guide vane position control method based on different operating modes, thereby achieving the best fluid guiding effect. The system aims to improve the efficiency and accuracy of fluid management, ensure the stability and performance of fluid flow under different operating conditions, and solve the problem that traditional fluid guiding systems often cannot respond to user operating behaviors in real time, user needs and fluid characteristics may change dramatically, and fluid flow may produce unstable flow or poor efficiency due to improper guide vane configuration.

[0037] As a preferred solution of the guide vane position control system based on different operation modes described in the present invention, it is characterized by comprising a data analysis module, a scene mode allocation module, a guide vane control module and a monitoring optimization module;

[0038] The data analysis module acquires the user's operation behavior data through sensors, including operation frequency, duration, and operation type, performs preprocessing, eliminates noise and outliers, forms a standardized data set, and transmits the data processing results to the scene mode allocation module;

[0039] The scenario mode allocation module inputs the collected data into the scenario recognition algorithm, determines the current working environment and allocates different operation modes including frequent operation mode, lazy operation mode, normal operation mode and abnormal operation mode according to the working scenario, and outputs the corresponding scenario information and control parameters to the guide vane control module;

[0040] The guide vane control module calculates the optimal guide vane position based on the scene information and control parameters provided by the scene mode allocation module, adjusts the guide vane position according to real-time feedback to achieve the best fluid guiding effect, adjusts the guide vane in real time and sends the adjusted data to the monitoring module;

[0041] The monitoring and optimization module obtains the current and optimized guide vane position data from the guide vane control module, applies an evaluation formula to determine the fluid guiding effect and feeds back the evaluation result to the guide vane control module, receives the evaluation result of the performance monitoring module, calculates the error and readjusts the control parameters if the fluid guiding effect is unqualified, and feeds back the new control parameters to the guide vane control module.

[0042] 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 the guide vane position control method under different operation modes are implemented.

[0043] 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 guide vane position control method based on different operating modes are implemented.

[0044] Beneficial effects of the present invention: In maintenance or no-load state, the present invention reduces unnecessary user intervention, reduces the energy consumption of the equipment, and keeps the equipment in the best performance state; after identifying the working scene through the clustering algorithm, the guide vane control parameters are adjusted for different operating modes, and the visibility and response time of the guide vanes are adjusted in time according to different operating modes, such as achieving a second-level response when the load changes frequently, thereby enhancing the equipment's coping ability; for maintenance or no-load mode, the guide vane position is automatically recommended, which effectively reduces the operating burden of the operator and improves the intelligence level of the system. This intelligence allows users to focus more on other key tasks while ensuring that the equipment is in the best working state; in normal operating mode, the stability of the guide vanes is maintained, thereby continuously ensuring hydraulic efficiency. In abnormal operating mode, equipment failures are handled in a timely manner to avoid high maintenance costs caused by equipment damage.

[0045] The optimal guide vane position calculated in real time ensures the best performance of fluid flow, thereby improving the overall working efficiency of the turbine. By evaluating and optimizing the fluid guidance effect, efficient and stable power generation can be maintained in a dynamic environment, especially when the external environment fluctuates, rapid adjustments can be made to avoid energy waste. The system can continuously optimize itself to ensure that efficient power generation capabilities are maintained during long-term operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0047] Figure 1 An overall flow chart of a guide vane position control method under different operation modes provided by one embodiment of the present invention.

[0048] Figure 2 A schematic diagram of modules of a guide vane position control system under different operation modes provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0049] 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.

[0050] 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.

[0051] 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 is it an embodiment that is mutually exclusive with other embodiments, either individually or selectively.

[0052] 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.

[0053] 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.

[0054] 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.

[0055] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a guide vane position control method based on different operation modes, including:

[0056] S1: Collect user operation behavior data through sensors and perform preprocessing.

[0057] Specifically, user operation behavior data includes the number of operations, duration, and operation type;

[0058] The preprocessing includes removing data points with negative operation times or zero duration, completing missing data, extracting operation frequency, average duration, and proportion of each operation type from the original data, analyzing the time interval and regular periodicity of the average duration and scaling the characteristic values ​​to the same range, and obtaining the final operation frequency, average duration, and proportion of each operation type;

[0059] Furthermore, the current working scenario is determined based on the final user operation behavior data:

[0060] When the operation frequency shows an upward trend, different operation types occur frequently and the duration is short, it is judged as scenario 1, that is, the working condition with frequent load changes;

[0061] When the turbine is in a condition where the load changes frequently, such as when the output needs to be adjusted quickly in power grid dispatch to cope with fluctuations in power demand; optimize the visibility and response speed of the guide vanes to achieve adjustments in seconds, ensuring that the turbine can adapt to load changes in a timely manner and improve power generation efficiency.

[0062] When the operation frequency shows a downward trend, the operation types are concentrated between any two types of operations, and the operation interval is long, it is judged as scenario 2, that is, maintenance or no-load status;

[0063] When the turbine is under maintenance or in a no-load state, operators may not make frequent adjustments. Adding intelligent recommendations automatically adjusts the guide vane position to the optimal state, simplifying user operations while ensuring that the equipment reduces energy consumption while maintaining effective performance.

[0064] When the operating frequency fluctuates in a stable and regular manner, the number of operations is within the expected range, and the operation type is a regular operation, it is judged as scenario three, i.e., stable power generation conditions;

[0065] Under stable power generation conditions, the turbine operates at a constant flow and load. In this mode, the layout stability of the guide vanes is adjusted to maintain the best hydraulic efficiency, which meets the needs of long-term operation.

[0066] When the operation frequency rises sharply and fluctuates abnormally and irregularly, the duration increases, and the operation type has specific abnormal processing, it is judged as scenario 4, that is, equipment failure or fluid abnormality;

[0067] In the event of equipment failure, fluid anomalies or sudden changes in the external environment, such as flooding or abnormal flow rates, operators are notified of necessary adjustments and timely information display to help quickly restore equipment performance and avoid damage.

[0068] S2: Identify the current working scenario and allocate scenario-based operation modes, and adjust the control parameters of the guide vanes under different operation modes.

[0069] Furthermore, according to the different scenarios obtained, a clustering algorithm is used to identify user behavior patterns, and the guide vane position control parameters are automatically adjusted according to the identified patterns:

[0070] For the scenario 1, a frequent operation mode is assigned, the visibility and response time of the guide vanes are adjusted, and the display time τ is set to achieve a second-level response:

[0071] P frequent =P0+k1·τ

[0072] Among them, P frequent is the guide vane position control parameter in the frequent operation mode, P0 is the initial guide vane position control parameter of the system, k1 is the adjustment coefficient reflecting the influence of frequent operation on parameter adjustment, and τ is the set display standard response time;

[0073] For scenario 2, assign lazy operation mode, add smart recommendations for default settings, and use normalized data streams:

[0074]

[0075] Among them, P lazy is the guide vane position control parameter in lazy operation mode, n is the number of operation behavior features considered, i is the variable index, k2 is the weight parameter of the influence of different features on the guide vane position, is the time decay function of feature i, τ i is the time of feature operation, τ i Description Over time, the influence of the characteristics on the guide vane position decreases.

[0076] For scenario 3, assign a normal operation mode and adjust the stability of the guide vane layout:

[0077] P routine =P0+k3·const(X)

[0078] Among them, P routine is the guide vane position control parameter in the normal operation mode, k2 is the adjustment coefficient of the influence of normal operation on parameter adjustment, and const(X') is the constant of the environmental variable X';

[0079] For scenario 4, assign abnormal operation mode, set notification frequency, and dynamically adjust information display of guide vane position:

[0080]

[0081] Among them, P abnormal is the guide vane position control parameter under abnormal operation mode, m is the number of abnormal operation types considered, k i is the weight of the influence of the ith abnormal operation type on the guide vane position, ω i To simulate the frequency of periodic changes caused by abnormal operation, I i is the information intensity of the ith abnormal operation type, reflecting the severity of the abnormality; NF i is the notification frequency of the i-th abnormal operation type.

[0082] S3: Calculate the optimal guide vane position and adjust the guide vane position in real time through the control algorithm to achieve the best fluid guiding effect.

[0083] Furthermore, according to the obtained adjusted control parameter results of different operation modes, different adjusted control parameters P are input based on the current guide vane position. mode , P mode = {P frequent ,P lazy ,P routine ,P abnormal}, calculate the optimal guide vane position under different operation modes:

[0084] Loptimal =L base +k mode ·P mode f(T,A)

[0085] Among them, L optimal is the optimal guide vane position after considering the current operation mode and control parameters, L base is the current guide vane position, f(T,A) is a composite function that affects the fluid guiding performance of the guide vane, and its specific form depends on the ambient temperature T and the fluid property A; k mode is the adjustment factor related to the operating mode:

[0086]

[0087] Among them, α is the adjustment factor that affects the final adjustment result, F usage is the user operating frequency, T avg is the average operation time;

[0088] The current guide vane is adjusted to the optimal position according to the calculation results for trial operation. The guide vane fluid guiding performance data during the trial operation is obtained through the sensor to determine whether the best fluid guiding effect can be achieved after adjustment. The expression for testing the fluid guiding effect is:

[0089]

[0090] Among them, E flow is the fluid guiding effect evaluation value, V out is the actual fluid flow after execution, V expected is the desired flow rate according to the guide vane position, C quality is the fluid guiding quality factor, W flow The influence of the gap between the guide vane position after quantitative optimization and the current guide vane position on the fluid guiding effect is:

[0091]

[0092] Among them, β is the adjustment factor that reflects the influence of the difference between the optimized guide vane position and the actual final position on the fluid guidance effect, L final is the actual guide vane position after real-time adjustment;

[0093] When E flow <E th1 When , the fluid guiding effect is judged as unqualified, and the guide vane position is recalculated and adjusted;

[0094] When E th1 ≤E flow <E th2 When , the fluid guidance effect is judged to be qualified, but the control parameters still need to be optimized;

[0095] When E flow ≥E th2 When , the fluid guidance effect is judged to be ideal and in line with the design requirements, and the current settings are maintained and monitored for a long time.

[0096] S4: Real-time monitoring of the operating effect of the guide vanes to continuously optimize the control parameters.

[0097] Furthermore, when the fluid guiding effect is judged to be unqualified, the error between the current turbine flow and the rated turbine flow is calculated, the error is input into the control parameter calculation formula that needs to be adjusted, the control parameter is readjusted and input into the optimal position calculation, and the cycle is continued until the fluid guiding effect is judged to be qualified;

[0098] When the fluid guiding effect is judged to be qualified and in the normal operation mode, real-time data is continuously acquired to update the optimal position until the fluid guiding effect is judged to be ideal or less than 10% of the ideal value;

[0099] When the fluid guiding effect is judged to be qualified and in abnormal operation mode, the maximum time that the turbine guide vanes can work normally is predicted based on the current data, and the abnormality is corrected within the maximum time range. When the abnormality correction is completed, the turbine guide vanes are switched to normal operation mode.

[0100] Embodiment 2, the second embodiment of the present invention, is different from the first two embodiments in that:

[0101] 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. The computer software product is stored in a storage medium, including 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: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0102] 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.

[0103] 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.

[0104] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0105] Example 3, reference Figure 2 , which is the third embodiment of the present invention, and provides a guide vane position control system based on different operation modes, including a data analysis module 10, a scene mode allocation module 20, a guide vane control module 30 and a monitoring optimization module 40;

[0106] The data analysis module 10 obtains the user's operation behavior data through sensors, including operation frequency, duration, and operation type, and performs preprocessing to eliminate noise and outliers to form a standardized data set, and transmits the data processing results to the scene mode allocation module 20;

[0107] The scene mode allocation module 20 inputs the collected data into the scene recognition algorithm, determines the current working environment and allocates different operation modes including frequent operation mode, lazy operation mode, normal operation mode and abnormal operation mode according to the working scene, and outputs the corresponding scene information and control parameters to the guide vane control module 30;

[0108] The guide vane control module 30 calculates the optimal guide vane position based on the scene information and control parameters provided by the scene mode allocation module 20, adjusts the guide vane position according to real-time feedback to achieve the best fluid guiding effect, adjusts the guide vane in real time and sends the adjusted data to the monitoring module 40;

[0109] The monitoring and optimization module 40 obtains the current and optimized guide vane position data from the guide vane control module 30, applies the evaluation formula to determine the fluid guiding effect and feeds back the evaluation result to the guide vane control module 30, receives the evaluation result of the performance monitoring module, and if the fluid guiding effect is unqualified, calculates the error and readjusts the control parameters, and feeds back the new control parameters to the guide vane control module 30.

[0110] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. 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 guide vane position control method based on different operation modes, characterized in that: include, Collect user operation behavior data through sensors and perform pre-processing; Identify the current working scenario and allocate scenario-based operation modes, and adjust the control parameters of the guide vanes in different operation modes; Calculate the optimal guide vane position and adjust the guide vane position in real time through control algorithms to achieve the best fluid guiding effect; Real-time monitoring of the operating effect of the guide vanes continuously optimizes the control parameters.

2. The guide vane position control method based on different operation modes according to claim 1, characterized in that: The user operation behavior data includes the number of operations, duration and operation type; The preprocessing includes removing data points with negative operation times or zero duration, completing missing data, extracting operation frequency, average duration, and proportion of each operation type from the original data, analyzing the time interval and regular periodicity of the average duration and scaling the characteristic values ​​to the same range, and obtaining the final operation frequency, average duration, and proportion of each operation type; Determine the current work scenario based on the final user operation behavior data: When the operation frequency is on the rise, different operation types occur frequently and the duration is short, it is judged as scenario one; When the operation frequency shows a downward trend, the operation types are concentrated between any two types of operations, and the operation interval is long, it is judged as scenario 2; When the operation frequency fluctuates in a stable and regular manner, the number of operations is within the expected range, and the operation type is a regular operation, it is judged as scenario three; When the operation frequency rises sharply and fluctuates abnormally and irregularly, the duration increases, and the operation type has exception processing, it is judged as scenario four.

3. The guide vane position control method based on different operation modes according to claim 2, characterized in that: The scenario-based operation mode includes using a clustering algorithm to identify user behavior patterns according to different scenarios, and automatically adjusting guide vane position control parameters according to the identified patterns: For the scenario 1, a frequent operation mode is assigned, the visibility and response time of the guide vanes are adjusted, and the display time τ is set to achieve a second-level response: P frequent =P0+k1·τ Among them, P frequent is the guide vane position control parameter in the frequent operation mode, P0 is the initial guide vane position control parameter of the system, k1 is the adjustment coefficient reflecting the influence of frequent operation on parameter adjustment, and τ is the set display standard response time; For scenario 2, assign lazy operation mode, add smart recommendations for default settings, and use normalized data streams: Among them, P lazy is the guide vane position control parameter in lazy operation mode, n is the number of operation behavior features considered, i is the variable index, k2 is the weight parameter of the influence of different features on the guide vane position, is the time decay function of feature i, τ i is the time of feature operation, τ i Description Over time, the influence of the characteristics on the guide vane position decreases.

4. The guide vane position control method based on different operation modes according to claim 3, characterized in that: The scenario-based operation mode also includes, for scenario three, allocating a conventional operation mode and adjusting the stability of the guide vane layout: P routine =P0+k3·const(X′) Among them, P routine is the guide vane position control parameter in the normal operation mode, k2 is the adjustment coefficient of the influence of normal operation on parameter adjustment, and const(X') is the constant of the environmental variable X'; For scenario 4, assign abnormal operation mode, set the notification frequency of prompts, and dynamically adjust the information display of the guide vane position: Among them, P abnormal is the guide vane position control parameter under abnormal operation mode, m is the number of abnormal operation types considered, k i is the weight of the influence of the ith abnormal operation type on the guide vane position, ω i To simulate the frequency of periodic changes caused by abnormal operation, I i is the information intensity of the ith abnormal operation type, reflecting the severity of the abnormality; NF i is the notification frequency of the i-th abnormal operation type.

5. The guide vane position control method based on different operation modes according to claim 4, characterized in that: The calculating of the optimal guide vane position includes, according to the obtained adjusted control parameter results of different operation modes, inputting different adjusted control parameters P based on the current guide vane position. mode , P mode =P frequent ,P lazy ,P routine ,P abnormal }, calculate the optimal guide vane position under different operation modes; The current guide vane is adjusted to the optimal position according to the calculation results for trial operation, and the guide vane fluid guiding performance data during the trial operation is obtained through sensors to determine whether the optimal fluid guiding effect can be achieved after adjustment.

6. The guide vane position control method based on different operation modes according to claim 5, characterized in that: The optimal fluid guiding effect includes testing the fluid guiding effect and obtaining a fluid guiding effect evaluation value; When the fluid guiding effect evaluation value is less than the first threshold value, the fluid guiding effect is judged to be unqualified, and the guide vane position is recalculated and adjusted; When the first threshold value ≤ the fluid guiding effect evaluation value < the second threshold value, the fluid guiding effect is judged to be qualified, but the control parameters still need to be optimized; When the fluid guiding effect evaluation value is ≥ the second threshold value, the fluid guiding effect is judged to be ideal and meets the design requirements, and the current setting is maintained and long-term monitoring is performed.

7. The guide vane position control method based on different operation modes according to claim 6, characterized in that: The optimization control parameters include, when the fluid guiding effect is judged to be unqualified, calculating the error between the current turbine flow and the rated turbine flow, inputting the error into the control parameter calculation formula that needs to be adjusted, re-adjusting the control parameter and inputting it into the optimal position calculation, and continuously looping until the fluid guiding effect is judged to be qualified; When the fluid guiding effect is judged to be qualified and in the normal operation mode, real-time data is continuously acquired to update the optimal position until the fluid guiding effect is judged to be ideal or less than 10% of the ideal value; When the fluid guiding effect is judged to be qualified and in abnormal operation mode, the maximum time that the turbine guide vanes can work normally is predicted based on the current data, and the abnormality is corrected within the maximum time range. When the abnormality correction is completed, the turbine guide vanes are switched to normal operation mode.

8. A system using the guide vane position control method based on different operation modes according to any one of claims 1 to 7, characterized in that: It includes data analysis module, scene mode allocation module, guide vane control module and monitoring optimization module; The data analysis module acquires the user's operation behavior data through sensors, including operation frequency, duration, and operation type, performs preprocessing, eliminates noise and outliers, forms a standardized data set, and transmits the data processing results to the scene mode allocation module; The scenario mode allocation module inputs the collected data into the scenario recognition algorithm, determines the current working environment and allocates different operation modes including frequent operation mode, lazy operation mode, normal operation mode and abnormal operation mode according to the working scenario, and outputs the corresponding scenario information and control parameters to the guide vane control module; The guide vane control module calculates the optimal guide vane position based on the scene information and control parameters provided by the scene mode allocation module, adjusts the guide vane position according to real-time feedback to achieve the best fluid guiding effect, adjusts the guide vane in real time and sends the adjusted data to the monitoring module; The monitoring and optimization module obtains the current and optimized guide vane position data from the guide vane control module, applies an evaluation formula to determine the fluid guiding effect and feeds back the evaluation result to the guide vane control module, receives the evaluation result of the performance monitoring module, calculates the error and readjusts the control parameters if the fluid guiding effect is unqualified, and feeds back the new control parameters to the guide vane control module.

9. 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 guide vane position control method in different operation modes are implemented as described in any one of claims 1 to 7.

10. 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 guide vane position control method in different operation modes are implemented as described in any one of claims 1 to 7.

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