Hydroturbine Operation Optimization Method, Device, Computer Equipment, Readable Storage Medium and Program Product

Abstract

The present application relates to a method, device, computer equipment, readable storage medium and program product for optimizing the operation of a water turbine, and relates to the technical field of water turbines. The method includes: in response to an operation optimization instruction for a target water turbine, obtaining the operating condition information of the target water turbine; based on the operating condition information, optimizing the actuator diameter of the guide vane actuator in the target water turbine to obtain a diameter optimization result of the guide vane actuator; for each guide vane mechanism part other than the guide vane actuator in the target water turbine, based on the diameter optimization result, performing a reliability analysis on the guide vane mechanism part to obtain a respective reliability analysis result for each guide vane mechanism part; and controlling the operation of the target water turbine according to the diameter optimization result and the reliability analysis result to obtain an operation result of the target water turbine. Using this method can improve the operation efficiency of the water turbine.

Description

Technical Field

[0001] This application relates to the technical field of water turbines, and particularly to a method and device for optimizing the operation of a water turbine, a computer device, a readable storage medium, and a program product. Background Art

[0002] In the hydropower field, a water turbine is the core equipment for energy conversion in a hydropower station. It is a power machine that converts the energy of water flow into rotational mechanical energy. The operation of the water turbine not only affects the stable operation of the power system but also affects the efficiency of the hydropower station.

[0003] Currently, in practical applications, various factors usually affect the normal operation of the water turbine, resulting in low operating efficiency of the water turbine. Therefore, there is an urgent need for an optimization method for the operation of the water turbine. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer device, computer-readable storage medium, and computer program product for optimizing the operation of a water turbine that can improve the operating efficiency of the water turbine.

[0005] In a first aspect, this application provides a method for optimizing the operation of a water turbine, including: in response to an operation optimization instruction for a target water turbine, obtaining the operating condition information of the target water turbine; based on the operating condition information, optimizing the actuator diameter of the guide vane actuator in the target water turbine to obtain a diameter optimization result of the guide vane actuator; for each guide vane mechanism part other than the guide vane actuator in the target water turbine, based on the diameter optimization result, performing a reliability analysis on the guide vane mechanism part to obtain a respective reliability analysis result for each guide vane mechanism part; according to the diameter optimization result and the reliability analysis result, controlling the operation of the target water turbine to obtain an operation result of the target water turbine.

[0006] In one of the embodiments, based on the operating condition information, optimizing the actuator diameter of the guide vane actuator in the target water turbine to obtain a diameter optimization result of the guide vane actuator includes: based on the operating condition information, performing three-dimensional modeling on the target water turbine to obtain a three-dimensional water turbine model of the target water turbine; running the three-dimensional water turbine model to obtain the guide vane water torque and the guide vane friction torque output by the three-dimensional water turbine model; based on the guide vane water torque and the guide vane friction torque, determining the target operating force of the guide vane actuator for driving the operation of the target water turbine; according to the target operating force, optimizing the actuator diameter of the guide vane actuator to obtain a diameter optimization result of the guide vane actuator.

[0007] In one embodiment, according to the target operating force, the servomotor diameter of the guide vane servomotor is optimized to obtain the diameter optimization result of the guide vane servomotor, including: determining the safe operating oil pressure of the guide vane servomotor according to the target operating oil pressure required by the target operating force and the rated oil pressure of the guide vane servomotor; optimizing the servomotor diameter of the guide vane servomotor based on the safe operating oil pressure to obtain the diameter optimization result of the guide vane servomotor.

[0008] In one embodiment, the method further includes: obtaining the part structure information of the guide vane mechanism parts, and based on the part structure information, performing complexity analysis on the guide vane mechanism parts to obtain the complexity analysis result of each guide vane mechanism part; performing reliability analysis on the guide vane mechanism parts based on the diameter optimization result to obtain the reliability analysis result of each guide vane mechanism part, including: performing reliability analysis on the guide vane mechanism parts based on the complexity analysis result and the diameter optimization result to obtain the reliability analysis result of each guide vane mechanism part.

[0009] In one embodiment, the diameter optimization result includes the safe operating space of the guide vane servomotor; the reliability analysis result includes the rigid strength analysis result and the remaining operating life of the guide vane mechanism parts; performing reliability analysis on the guide vane mechanism parts based on the complexity analysis result and the diameter optimization result to obtain the reliability analysis result of each guide vane mechanism part, including: when the complexity analysis result indicates that the structure of the guide vane mechanism part is complex, based on the safe operating space of the guide vane servomotor, running the three-dimensional turbine model of the target water turbine, analyzing the rigid strength of the guide vane mechanism part during operation to obtain the rigid strength analysis result of each guide vane mechanism part; inputting the rigid strength analysis result into the part life prediction model to predict the life of the guide vane mechanism part and obtain the remaining operating life of each guide vane mechanism part.

[0010] In one embodiment, the method further includes: determining the part type of each part position in the guide vane mechanism parts; the part type includes weak part positions and stable part positions; inputting the rigid strength analysis result into the part life prediction model to predict the life of the guide vane mechanism parts and obtain the remaining operating life of the guide vane mechanism parts, including: respectively inputting the rigid strength analysis results of the weak part positions and the stable part positions into the part life prediction model to predict the life of the guide vane mechanism parts and obtain the remaining operating life of each guide vane mechanism part.

[0011] In a second aspect, the present application also provides a hydroturbine operation optimization device, including: an information acquisition module, configured to acquire the operating condition information of a target hydroturbine in response to an operation optimization instruction for the target hydroturbine; a diameter selection module, configured to optimize the relay diameter of the guide vane relay in the target hydroturbine based on the operating condition information to obtain a diameter optimization result of the guide vane relay; a component optimization module, configured to perform a reliability analysis on each guide vane mechanism component in the target hydroturbine except the guide vane relay based on the diameter optimization result to obtain a respective reliability analysis result for each guide vane mechanism component; and an operation module, configured to control the operation of the target hydroturbine according to the diameter optimization result and the reliability analysis result to obtain an operation result of the target hydroturbine.

[0012] In a third aspect, the present application also provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented: acquiring the operating condition information of a target hydroturbine in response to an operation optimization instruction for the target hydroturbine; optimizing the relay diameter of the guide vane relay in the target hydroturbine based on the operating condition information to obtain a diameter optimization result of the guide vane relay; performing a reliability analysis on each guide vane mechanism component in the target hydroturbine except the guide vane relay based on the diameter optimization result to obtain a respective reliability analysis result for each guide vane mechanism component; and controlling the operation of the target hydroturbine according to the diameter optimization result and the reliability analysis result to obtain an operation result of the target hydroturbine.

[0013] In a fourth aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: acquiring the operating condition information of a target hydroturbine in response to an operation optimization instruction for the target hydroturbine; optimizing the relay diameter of the guide vane relay in the target hydroturbine based on the operating condition information to obtain a diameter optimization result of the guide vane relay; performing a reliability analysis on each guide vane mechanism component in the target hydroturbine except the guide vane relay based on the diameter optimization result to obtain a respective reliability analysis result for each guide vane mechanism component; and controlling the operation of the target hydroturbine according to the diameter optimization result and the reliability analysis result to obtain an operation result of the target hydroturbine.

[0014] In a fifth aspect, the present application also provides a computer program product, including a computer program which, when executed by a processor, implements the following steps: in response to an operation optimization instruction for a target water turbine, obtaining the operating condition information of the target water turbine; based on the operating condition information, optimizing the actuator diameter of the guide vane actuator in the target water turbine to obtain an optimized result of the actuator diameter of the guide vane actuator; for each guide vane mechanism part in the target water turbine other than the guide vane actuator, based on the optimized result of the diameter, performing a reliability analysis on the guide vane mechanism part to obtain a respective reliability analysis result for each guide vane mechanism part; and controlling the operation of the target water turbine according to the optimized result of the diameter and the reliability analysis result to obtain an operation result of the target water turbine.

[0015] For the above-mentioned water turbine operation optimization method, device, computer device, computer-readable storage medium and computer program product, in response to an operation optimization instruction for a target water turbine, the operating condition information of the target water turbine is first obtained, and thus, based on the operating condition information, the actuator diameter of the guide vane actuator in the target water turbine is optimized to obtain an accurate and reliable optimized result of the diameter. It can be understood that the guide vane actuator is one of the core mechanisms for driving the operation of the water turbine. For the guide vane actuator, the actuator diameter affects the operating space of the guide vane actuator, and further affects the driving efficiency of the guide vane actuator. Therefore, the actuator diameter of the guide vane actuator is one of the important factors affecting the operation of the water turbine. The present application optimizes from the perspective of the actuator diameter of the guide vane actuator. By selecting an appropriate actuator diameter, the guide vane actuator has a reasonable and safe operating space, improving the driving efficiency of the guide vane actuator, and thus improving the operation efficiency of the water turbine. In addition, the present application also takes into account that other guide vane mechanism parts in the water turbine will also have a certain impact on the operation of the water turbine. Therefore, for each guide vane mechanism part in the target water turbine other than the guide vane actuator, based on the optimized result of the diameter of the guide vane actuator, a further reliability analysis is performed on the guide vane mechanism part, that is, the stiffness and remaining life of the guide vane mechanism part are analyzed. Finally, according to the optimized result of the diameter and the reliability analysis result, the operation of the target water turbine is controlled, effectively improving the operation efficiency of the water turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0017] Figure 1 It is an application environment diagram of the water turbine operation optimization method in an embodiment;

[0018] Figure 2 Schematic flow chart of the water turbine operation optimization method in one embodiment;

[0019] Figure 3 Schematic structural diagram of the water turbine in one embodiment;

[0020] Figure 4 Schematic flow chart of the guide vane servomotor diameter selection in one embodiment;

[0021] Figure 5 Schematic structural diagram of the water turbine in another embodiment;

[0022] Figure 6 Schematic flow chart of the guide vane servomotor diameter selection in another embodiment;

[0023] Figure 7 Schematic flow chart of the reliability analysis of the guide vane mechanism parts in one embodiment;

[0024] Figure 8 Schematic block diagram of the water turbine operation optimization device in one embodiment;

[0025] Figure 9 Internal structure diagram of a computer device in one embodiment. Detailed implementation manners

[0026] In the field of hydropower, the water turbine is one of the core devices for energy conversion in a hydropower station, which can convert the energy of water flow into rotational mechanical energy and then drive the motor to generate electricity. The stable operation of the water turbine not only affects the stable operation of the power system, but also affects the efficiency of the hydropower station. At present, during the actual operation of the water turbine, the operating conditions of the water turbine are relatively complex, and various factors usually affect the normal operation of the water turbine. For example, the impact of water flow or the damage of the guide vane seal, the water turbine is prone to cavitation and sediment abrasion, resulting in fatigue cracks. In the light case, it affects the operation efficiency, and in the heavy case, it leads to component damage and affects the safety of the generator set. Another example is the performance of the parts of the guide vane operating mechanism in the water turbine, which is also one of the important factors affecting the operation efficiency of the water turbine. Therefore, there is an urgent need for an optimization method for the operation of the water turbine to improve the operation efficiency of the water turbine, so as to ensure the stable operation of the power system and improve the efficiency of the hydropower station.

[0027] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0028] The water turbine operation optimization method provided by the embodiments of the present application can be applied to, for example Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed in the cloud or on other network servers. In response to the operation optimization instruction for the target water turbine sent by the terminal 102, the server 104 first obtains the working condition information of the target water turbine; based on the working condition information, optimizes the relay diameter of the guide vane relay in the target water turbine to obtain the diameter optimization result of the guide vane relay; for each guide vane mechanism part other than the guide vane relay in the target water turbine, based on the diameter optimization result, conducts a reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part; according to the diameter optimization result and the reliability analysis result, controls the operation of the target water turbine to obtain the operation result of the target water turbine. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, and Internet of Things devices. The server 104 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0029] In an exemplary embodiment, as Figure 2 shown, a method for optimizing the operation of a water turbine is provided. Taking the server 104 in Figure 1 as an example for illustration, it includes:

[0030] Step S202, in response to the operation optimization instruction for the target water turbine, obtain the working condition information of the target water turbine.

[0031] Among them, the target water turbine refers to the water turbine that needs to be optimized for operation. It can be understood that the water turbine mainly consists of a rotating part and a fixed part, and includes a guide vane mechanism. The rotating part includes a runner, a main shaft, a main shaft seal, etc. The runner is the core component of the water turbine, responsible for converting the energy of the water flow into rotational mechanical energy. The main shaft connects the runner and the generator, transmitting the rotational power. The main shaft seal is used to prevent water leakage and affect the efficiency of the water turbine. The fixed part includes a spiral case, a top cover, a bottom ring, a stay ring, a support ring, etc. The spiral case is used to guide the water flow to the runner. The top cover and the bottom ring fix the position of the runner. The bottom ring and the support ring are used to support the entire structure of the water turbine. The guide vane mechanism consists of guide vanes, a guide vane relay, and other guide vane mechanism parts. Other guide vane mechanism parts include a control ring, a connecting rod, a piston rod, etc. The guide vanes are used to control the flow rate and direction of the water flow. The guide vane relay is used to drive the guide vanes to rotate to adjust the opening degree of the guide vanes, as Figure 3As shown in the figure, a piston rod is connected to the servomotor of the guide vane. One end of the connecting rod is connected to the connecting plate of the guide vane, and the other end is connected to the control ring. The piston rod can push and pull under hydraulic action to drive the control ring to rotate left and right. When the control ring rotates, it drives the connecting rod, and the connecting rod drives the guide vane to rotate. In this embodiment, mainly by optimizing the servomotor of the guide vane and the parts of the guide vane mechanism, within the optimal diameter range of the servomotor of the guide vane, the reliability of the parts of the guide vane mechanism is analyzed and then optimized. In this way, not only can the operating space of the servomotor of the guide vane be ensured to be sufficient, but also the stable operation of the parts of the guide vane mechanism can be ensured. Optimizing the operation of the water turbine in this way can not only effectively improve the operation efficiency of the water turbine, but also reduce the production cost.

[0032] The operation optimization instruction refers to the instruction for optimizing the operation strategy of the target water turbine. The operating condition information refers to the operating condition information of the target water turbine, which may include the operating condition information of the water turbine and the operating condition information of the pump. The operating condition information of the water turbine refers to the operating condition information when the water turbine generates electricity, and the operating condition information of the pump refers to the operating condition information when the water turbine pumps water. The operating condition information can be used to establish a three-dimensional simulation model of the target water turbine.

[0033] Exemplarily, when the server receives the instruction for optimizing the operation strategy of the target water turbine sent by the terminal, it can first obtain the operating condition information of the water turbine and the operating condition information of the pump corresponding to the target water turbine, so as to facilitate the subsequent establishment of a three-dimensional simulation model of the target water turbine, and then perform stress analysis on the target water turbine.

[0034] Step S204: Based on the operating condition information, optimize the diameter of the servomotor of the guide vane in the target water turbine to obtain the diameter optimization result of the servomotor of the guide vane.

[0035] Among them, the diameter of the servomotor refers to the diameter of the servomotor of the guide vane. It can be understood that the diameter of the servomotor of the guide vane directly affects the operating space of the servomotor of the guide vane. The larger the diameter of the servomotor, the larger the operating space required, which will not only cause the space of the guide vane mechanism to be crowded, but also generate higher production costs. Therefore, in this embodiment, by optimizing the diameter of the servomotor of the guide vane to select a suitable diameter of the servomotor, it can not only improve the driving efficiency of the guide vane, thereby improving the operation efficiency of the water turbine, but also ensure the stability and safety of the operation of the entire generator set. The diameter optimization result refers to the result obtained after optimizing the diameter of the servomotor, which may include the target diameter of the servomotor of the guide vane and the safe operating space of the servomotor of the guide vane.

[0036] Exemplarily, after the server obtains the operating condition information of the water turbine and the operating condition information of the pump corresponding to the target water turbine, it can establish a three-dimensional model of the target water turbine, obtain the stress condition of the target water turbine output during the operation of the three-dimensional model, and then optimize the diameter of the servomotor of the guide vane according to the stress condition to obtain the target diameter of the servomotor of the guide vane and the safe operating space of the servomotor of the guide vane.

[0037] Step S206: For each guide vane mechanism part in the target turbine except the guide vane servomotor, based on the diameter optimization result, perform reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part.

[0038] Among them, the reliability analysis may refer to the stiffness and strength analysis of the guide vane mechanism part and the life prediction of the guide vane mechanism part. The reliability analysis results include the stiffness and strength analysis results of the guide vane mechanism part and the remaining operating life of the guide vane mechanism part.

[0039] Exemplarily, based on the diameter optimization result of the guide vane servomotor, the server further performs stiffness and strength analysis and life prediction on other guide vane mechanism parts in the target turbine to improve the reliability and stability of the turbine operation. The respective stiffness and strength analysis results and the remaining operating life of each guide vane mechanism part are obtained.

[0040] Step S208: Control the operation of the target turbine according to the diameter optimization result and the reliability analysis result to obtain the operation result of the target turbine.

[0041] Among them, the operation result may refer to the optimized operation condition of the target turbine, such as the operation speed of the target turbine after optimization, the growth rate of the speed compared with that before optimization, the current operation cost, and the reduction degree of the cost compared with that before optimization.

[0042] Exemplarily, after the server obtains the diameter optimization result and the reliability analysis result of the target turbine, it can generate an operation strategy for the target turbine according to the diameter optimization result and the reliability analysis result, and thus control the operation of the target turbine according to this operation strategy to obtain results such as the current operation speed of the target turbine, the growth rate of the speed compared with that before optimization, the current operation cost, and the reduction degree of the cost compared with that before optimization.

[0043] In this embodiment, in response to the operation optimization instruction for the target water turbine sent by the terminal, the server first obtains the working condition information of the target water turbine, and then optimizes the relay diameter of the guide vane relay in the target water turbine according to the working condition information to obtain an accurate and reliable diameter optimization result. It can be understood that the guide vane relay is one of the core mechanisms driving the operation of the water turbine. For the guide vane relay, the relay diameter affects the operation space of the guide vane relay, and further affects the driving efficiency of the guide vane relay. Therefore, the diameter of the guide vane relay is one of the important factors affecting the operation of the water turbine. This application optimizes from the perspective of the relay diameter of the guide vane relay. By selecting a suitable relay diameter, the guide vane relay has a reasonable and safe operation space, improving the driving efficiency of the guide vane relay, and thus improving the operation efficiency of the water turbine. In addition, this application also takes into account that other parts of the guide vane mechanism in the water turbine will also have a certain impact on the operation of the water turbine. Therefore, for each part of the guide vane mechanism other than the guide vane relay in the target water turbine, based on the diameter optimization result of the guide vane relay, the reliability of the guide vane mechanism parts is further analyzed, that is, the stiffness and remaining life of the guide vane mechanism parts are analyzed. Finally, according to the diameter optimization result and the reliability analysis result, the operation of the target water turbine is controlled, effectively improving the operation efficiency of the water turbine.

[0044] In an exemplary embodiment, as Figure 4 shown, based on the working condition information, the relay diameter of the guide vane relay in the target water turbine is optimized to obtain the diameter optimization result of the guide vane relay, including:

[0045] Step S402, based on the working condition information, perform three-dimensional modeling on the target water turbine to obtain a three-dimensional water turbine model of the target water turbine.

[0046] Step S404, run the three-dimensional water turbine model to obtain the guide vane water torque and the guide vane friction resistance torque output by the three-dimensional water turbine model.

[0047] Among them, the three-dimensional water turbine model refers to the three-dimensional simulation model of the target water turbine. The guide vane water torque refers to the torque of the water flow acting on the guide vanes of the water turbine. As Figure 5 shown, the connecting plate is connected to the guide vane arm, and a friction bushing is sleeved on the guide vane arm. The guide vane friction resistance torque refers to the frictional torque generated between the connecting plate and the friction bushing when the guide vane relay pushes the connecting plate to move, and the frictional torque drives the guide vane to rotate.

[0048] Exemplarily, CFD (Computational Fluid Dynamics) can be used to calculate various stresses of the target water turbine. CFD is a method that applies numerical methods to solve fluid dynamics equations. By numerically simulating the fluid motion process, the stress values at various positions in the flow field can be obtained, thereby analyzing the fluid behavior. Therefore, in this embodiment, ANSYS CFD fluid simulation software can be used to perform three-dimensional simulation modeling on the overall structure of the target water turbine to obtain a three-dimensional simulation model of the target water turbine. ANSYS CFD is a fluid mechanics analysis software that provides rich analysis tools and solvers to achieve various types of simulations including structure, dynamics, fluid, etc. Based on the finite volume method and the finite element method, it solves various flow problems. The finite element method and the finite volume method are numerical methods based on the spatial discretization of the model equation. The finite element method divides a large structure into a finite number of small regions called elements. In each small region, it is assumed that the deformation and stress of the structure are simple, and the deformation and stress within the small region are easy to solve, and then the deformation and stress of the entire structure can be obtained. The finite volume method divides the computational region into a series of non-overlapping control volumes and makes each grid point surrounded by a control volume. Integrating the differential equation to be solved for each control volume yields a set of discrete equations. The server can obtain the guide vane water torque and the guide vane friction resistance torque of the three-dimensional water turbine model through CFD calculation.

[0049] In one example, for the calculation of the guide vane friction resistance torque, since the water pressure acting on the guide vane is the largest when the guide vane is in the closed position and the friction resistance torque is the largest at this time, the corresponding reaction forces of the upper, middle, and lower shaft diameters of the guide vane can also be calculated through theoretical force analysis based on the water pressure received by the guide vane when it is fully closed. Then, the friction resistance can be calculated according to the friction coefficient between the guide vane bushing and the guide vane shaft diameter. Finally, the guide vane friction torque can be calculated based on the shaft diameter size of the guide vane shaft diameter and the friction resistance.

[0050] In one example, based on the water turbine operating condition information, a combined CFD calculation can be performed on the spiral case and the movable guide vanes. Based on the pump operating condition information, a segmented CFD calculation can be performed on the runner and the double-row vane cascade. The double-row vane cascade is the main flow-through component of the water turbine and is composed of fixed guide vanes and movable guide vanes. It should be noted that in order to ensure the calculation accuracy, in this embodiment, grid division is performed separately on the spiral case, fixed guide vanes, movable guide vanes, and runner. The grid is one of the basic elements of CFD calculation. The grid composed of elements and / or nodes can have almost any shape or size and is used to solve partial differential variances, enabling the discretization of the region for simulation analysis of each divided object.

[0051] Step S406, based on the guide vane water torque and the guide vane friction resistance torque, determine the target operating force of the guide vane servomotor that drives the target water turbine to operate.

[0052] Step S408: Optimize the diameter of the servomotor of the guide vane according to the target operating force to obtain the optimized result of the diameter of the servomotor of the guide vane.

[0053] The target operating force refers to the force for driving the guide vane to rotate by the servomotor of the guide vane.

[0054] Exemplarily, after the server obtains the guide vane hydraulic torque and the guide vane frictional torque of the target water turbine through CFD calculation, the operating force required for the servomotor of the guide vane to drive the guide vane to rotate can be directly calculated through the guide vane hydraulic torque and the guide vane frictional torque. Then, optimize the diameter of the servomotor of the guide vane according to the target operating force and the corresponding operating oil pressure to obtain the optimized result of the diameter of the servomotor of the guide vane.

[0055] In this embodiment, a three-dimensional modeling method is adopted to calculate the guide vane hydraulic torque and the guide vane frictional torque of the target water turbine, thereby calculating the corresponding operating force, and further completing the selection of the diameter of the servomotor of the guide vane according to the operating force, improving the accuracy of the diameter of the servomotor of the guide vane.

[0056] In an exemplary embodiment, as Figure 6 shown, optimizing the diameter of the servomotor of the guide vane according to the target operating force to obtain the optimized result of the diameter of the servomotor of the guide vane includes:

[0057] Step S602: Determine the safe operating oil pressure of the servomotor of the guide vane according to the target operating oil pressure required by the target operating force and the rated oil pressure of the servomotor of the guide vane.

[0058] Step S604: Optimize the diameter of the servomotor of the guide vane based on the safe operating oil pressure to obtain the optimized result of the diameter of the servomotor of the guide vane.

[0059] The oil pressure is the pressure of the pressure oil source provided by the oil pressure system for the speed regulation system of the hydro-generating unit. The target operating oil pressure refers to the oil pressure corresponding to the target operating force, the rated oil pressure refers to the standard oil pressure under the safe operation of the servomotor of the guide vane, and the safe operating oil pressure refers to the safe operating oil pressure of the guide vane operator.

[0060] It can be understood that, on the premise of meeting the operating requirements of the water turbine unit, in order to provide sufficient operating space for the guide vane servomotor, a certain proportion of oil pressure margin can be reserved for the guide vane servomotor. Therefore, in this embodiment, based on the target operating oil pressure and the rated oil pressure, a certain proportion of the pre-set oil pressure margin is reduced to obtain the safe operating oil pressure. The safe operating oil pressure can also be understood as the minimum operating oil pressure of the guide vane servomotor. The minimum operating oil pressure refers to the maximum oil pressure at which the guide vane servomotor can operate the movable guide vane. In one example, the minimum operating oil pressure is lower than the rated oil pressure and the target operating oil pressure. The server can then calculate the servomotor diameter of the guide vane servomotor based on the size of the guide vane itself and the safe operating oil pressure, and the operating space corresponding to this diameter is the safe operating space of the guide vane servomotor.

[0061] In this embodiment, the servomotor diameter of the guide vane servomotor is calculated based on the rated oil pressure and the safe operating oil pressure of the guide vane servomotor, improving the accuracy of the servomotor diameter of the guide vane servomotor, and thus improving the accuracy of the operation optimization of the water turbine.

[0062] In an exemplary embodiment, the complexity analysis process of the guide vane mechanism parts includes: obtaining the part structure information of the guide vane mechanism parts, and based on the part structure information, performing complexity analysis on the guide vane mechanism parts to obtain the respective complexity analysis results of each guide vane mechanism part.

[0063] Among them, the part structure information refers to the structural composition information of the guide vane mechanism parts, including but not limited to the material, manufacturing cost, use, connection relationship with other guide vane mechanism parts, etc. of the guide vane mechanism parts. The complexity analysis result is used to characterize the complexity of the part structure of the guide vane mechanism parts.

[0064] Exemplarily, before performing reliability analysis on the guide vane mechanism parts, the server can first obtain the material, manufacturing cost, use, connection relationship with other guide vane mechanism parts, etc. of each guide vane mechanism part, and then analyze the complexity of each guide vane mechanism part based on this structural composition information. For example, if a certain guide vane mechanism part has multiple uses or is connected to multiple other guide vane mechanism parts, it can be considered that the structure of this guide vane mechanism part is relatively complex; if a certain guide vane mechanism part has a single use or is connected to a small number or even not connected to other guide vane mechanism parts, it can be considered that the structure of this guide vane mechanism part is relatively simple.

[0065] In practical applications, the complexity analysis results of the guide vane mechanism parts can be used for reliability analysis. Therefore, in one embodiment, based on the diameter optimization result, reliability analysis is performed on the guide vane mechanism parts to obtain the respective reliability analysis results of each guide vane mechanism part, including: performing reliability analysis on the guide vane mechanism parts based on the complexity analysis result and the diameter optimization result to obtain the respective reliability analysis results of each guide vane mechanism part.

[0066] Exemplarily, based on the complexity analysis result, different reliability analysis methods can be selected, so as to perform reliability analysis on the guide vane mechanism parts according to different reliability analysis methods and diameter optimization results, and obtain the respective reliability analysis results of each guide vane mechanism part. In one example, the reliability analysis methods include the three-dimensional modeling method and the analytical method. The three-dimensional modeling method is explained in corresponding steps S302 - S304 and will not be elaborated here. The analytical method refers to using the calculation formulas of material mechanics to calculate the stress conditions of the guide vane mechanism parts. For the guide vane mechanism parts with complex structures, the three-dimensional modeling method can be used for reliability analysis, and for the guide vane mechanism parts with simple structures, the analytical method can be used for reliability analysis.

[0067] In this embodiment, by matching a suitable reliability analysis method based on the complexity of the guide vane mechanism parts, the reliability analysis of the guide vane mechanism parts is carried out, which improves the accuracy and efficiency of the reliability analysis.

[0068] In an exemplary embodiment, as Figure 7 shown, based on the complexity analysis result and the diameter optimization result, the reliability analysis of the guide vane mechanism parts is carried out, and the respective reliability analysis results of each guide vane mechanism part are obtained, including:

[0069] Step S702, when the complexity analysis result indicates that the structure of the guide vane mechanism part is complex, based on the safe operation space of the guide vane servomotor, run the three-dimensional turbine model of the target turbine, and analyze the part stiffness and strength of the guide vane mechanism part during operation to obtain the respective stiffness and strength analysis results of each guide vane mechanism part.

[0070] Among them, the safe operation space refers to the space in which the guide vane servomotor operates under the safe operation oil pressure. The stiffness and strength analysis result is used to characterize the ability of the guide vane mechanism part to resist damage or significant deformation under external forces.

[0071] Exemplarily, when the complexity analysis result indicates that the structure of the guide vane mechanism part is complex, select to use the three-dimensional modeling method for reliability analysis, that is, the server runs the three-dimensional simulation model of the target turbine, and more specifically, can construct and run the three-dimensional simulation model of the guide vane mechanism part, so as to obtain the respective stiffness and strength analysis results of each guide vane mechanism part output by the model.

[0072] Step S704, input the stiffness and strength analysis result into the part life prediction model, and perform life prediction on the guide vane mechanism part to obtain the remaining operating life of each guide vane mechanism part.

[0073] Among them, the part life prediction model is a pre-established mathematical model for predicting the part life of the guide vane mechanism part. The remaining operating life refers to the remaining available operating duration of the guide vane mechanism part.

[0074] Exemplarily, the server inputs the rigid strength analysis results of each guide vane mechanism part into a pre-established part life prediction model to predict the life of each guide vane mechanism part. In one example, the part life prediction model may include the Arrhenius model, the Coffin-Manson model, etc. The Arrhenius model accelerates the internal reaction of the part, causing the part to fail prematurely, thereby evaluating the life characteristics of the part in a short time. The Coffin-Manson model is a model for evaluating the fatigue life of parts. By considering factors such as the stress level, stress amplitude, and strain amplitude of the part, it predicts the life of the part under fatigue load.

[0075] In one embodiment, before predicting the part life, the part type of each part location in the guide vane mechanism part can be determined first. The part location refers to each location on the guide vane mechanism part, and the part type includes a weak part location and a stable part location. The weak part location refers to the location on the guide vane mechanism part with a relatively weak structure, and the stable part location refers to the location on the guide vane mechanism part with a relatively stable structure. The weak part location and the stable part location can be distinguished through the rigid strength analysis results, that is, the rigid strength analysis can be performed on each location on the guide vane mechanism part, so as to obtain the rigid strength analysis results of each location. The higher the rigid strength analysis result, the more stable the location, and it is determined that the location belongs to the stable part location. The lower the rigid strength analysis result, the weaker the location, and it is determined that the location belongs to the weak part location.

[0076] In practical applications, in order to further improve the accuracy of part life prediction, life prediction can be performed based on the weak part location and the stable part location in the guide vane mechanism part. Therefore, in one embodiment, the rigid strength analysis results are input into the part life prediction model to predict the life of the guide vane mechanism part, and the remaining operating life of the guide vane mechanism part is obtained, including: respectively inputting the rigid strength analysis results of the weak part location and the stable part location into the part life prediction model to predict the life of the guide vane mechanism part, and obtaining the remaining operating life of each guide vane mechanism part.

[0077] Exemplarily, the rigid strength analysis results include the rigid strength analysis results of the weak part of the part and the rigid strength analysis results of the stable part of the part. The rigid strength analysis results of the two types of part positions can be input into the part life prediction model to predict the life of the guide vane mechanism parts, so as to obtain the remaining operating life of each guide vane mechanism part. Further, corresponding part life prediction models can be established for the weak part and the stable part respectively. Thus, the rigid strength analysis results of the weak part are input into the corresponding part life prediction model to output the part life of the weak part, and the rigid strength analysis results of the stable part are input into the corresponding part life prediction model to output the part life of the stable part. Furthermore, by combining the part lives of the two types of part positions, the remaining operating life of the guide vane mechanism parts can be comprehensively evaluated.

[0078] In this embodiment, the reliability of the guide vane mechanism parts is analyzed from two aspects: the rigid strength of the parts and the life of the parts, and the remaining operating life of the guide vane mechanism parts is predicted using the part life model, which improves the comprehensiveness, accuracy, and reliability of the reliability analysis of the guide vane mechanism parts, thereby improving the comprehensiveness, accuracy, and reliability of the operation optimization of the water turbine.

[0079] In a specific embodiment, the process of the water turbine operation optimization method includes:

[0080] In response to the operation optimization instruction for the target water turbine, obtain the water turbine condition information and the pump condition information of the target water turbine. Based on the water turbine condition information and the pump condition information, establish a three-dimensional model of the target water turbine, and use CFD to calculate the guide vane hydraulic torque and the guide vane friction torque of the guide vane servomotor in the target water turbine. Based on the guide vane hydraulic torque and the guide vane friction torque, calculate the target operating force of the guide vane servomotor that drives the target water turbine to operate. According to the target operating oil pressure required by the target operating force and the rated oil pressure of the guide vane servomotor, determine the safe operating oil pressure of the guide vane servomotor. Based on the safe operating oil pressure, optimize the servomotor diameter of the guide vane servomotor to obtain the servomotor diameter of the guide vane servomotor and the corresponding safe operating space. For each guide vane mechanism part in the target water turbine except the guide vane servomotor, obtain the part structure information of each guide vane mechanism part, and based on the part structure information, conduct a complexity analysis of the guide vane mechanism part to obtain the complexity analysis result of each guide vane mechanism part. When the complexity analysis result indicates that the structure of the guide vane mechanism part is simple, use the analytical method to calculate the stress condition of the guide vane mechanism part, so as to analyze its reliability. When the complexity analysis result indicates that the structure of the guide vane mechanism part is complex, based on the safe operating space of the guide vane servomotor, run the three-dimensional water turbine model of the target water turbine, analyze the part rigidity and strength of the guide vane mechanism part during operation to obtain the rigidity and strength analysis results of each guide vane mechanism part. The rigidity and strength analysis results include the rigidity and strength analysis results of the weak part of the guide vane mechanism part and the rigidity and strength analysis results of the stable part of the guide vane mechanism part. Input the rigidity and strength analysis results into the part life prediction model to predict the life of the guide vane mechanism part and obtain the remaining operating life of each guide vane mechanism part. According to the servomotor diameter, the rigidity and strength analysis results, and the remaining operating life of each guide vane mechanism part, control the operation of the target water turbine to obtain the operation result of the target water turbine.

[0081] In this embodiment, in response to an operation optimization instruction for a target water turbine, the operating condition information of the target water turbine is first obtained. Then, based on the operating condition information, the actuator diameter of the guide vane actuator in the target water turbine is optimized to obtain an accurate and reliable diameter optimization result. It can be understood that the guide vane actuator is one of the core mechanisms for driving the operation of the water turbine. For the guide vane actuator, the actuator diameter affects the operating space of the guide vane actuator, and further affects the driving efficiency of the guide vane actuator. Therefore, the diameter of the guide vane actuator is one of the important factors affecting the operation of the water turbine. In this application, optimization is carried out from the perspective of the actuator diameter of the guide vane. By selecting an appropriate actuator diameter, the guide vane actuator has a reasonable and safe operating space, improving the driving efficiency of the guide vane actuator, and thus improving the operating efficiency of the water turbine. In addition, this application also takes into account that other guide vane mechanism parts in the water turbine will also have a certain impact on the operation of the water turbine. Therefore, for each guide vane mechanism part other than the guide vane actuator in the target water turbine, based on the diameter optimization result of the guide vane actuator, the reliability of the guide vane mechanism part is further analyzed, that is, the stiffness and remaining life of the guide vane mechanism part are analyzed. Finally, based on the diameter optimization result and the reliability analysis result, the operation of the target water turbine is controlled, effectively improving the operating efficiency of the water turbine.

[0082] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0083] Based on the same inventive concept, the embodiment of the present application also provides a water turbine operation optimization device for implementing the water turbine operation optimization method involved above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the water turbine operation optimization device provided below can refer to the limitations on the water turbine operation optimization method in the above text, and will not be repeated here.

[0084] In an exemplary embodiment, as Figure 8As shown, a water turbine operation optimization device is provided, including: an information acquisition module 802, configured to acquire the operating condition information of a target water turbine in response to an operation optimization instruction for the target water turbine; a diameter selection module 804, configured to optimize the actuator diameter of the guide vane actuator in the target water turbine based on the operating condition information to obtain a diameter optimization result of the guide vane actuator; a component optimization module 806, configured to perform a reliability analysis on each guide vane mechanism component other than the guide vane actuator in the target water turbine based on the diameter optimization result to obtain a reliability analysis result for each guide vane mechanism component; and an operation module 806, configured to control the operation of the target water turbine according to the diameter optimization result and the reliability analysis result to obtain an operation result of the target water turbine.

[0085] In one embodiment, the diameter selection module 804 is further configured to: perform three-dimensional modeling on the target water turbine based on the operating condition information to obtain a three-dimensional water turbine model of the target water turbine; operate the three-dimensional water turbine model to obtain the guide vane hydraulic torque and the guide vane friction torque output by the three-dimensional water turbine model; determine the target operating force of the guide vane actuator for driving the operation of the target water turbine based on the guide vane hydraulic torque and the guide vane friction torque; and optimize the actuator diameter of the guide vane actuator according to the target operating force to obtain a diameter optimization result of the guide vane actuator.

[0086] In one embodiment, the diameter selection module 804 is further configured to: determine the safe operating oil pressure of the guide vane actuator according to the target operating oil pressure required by the target operating force and the rated oil pressure of the guide vane actuator; and optimize the actuator diameter of the guide vane actuator based on the safe operating oil pressure to obtain a diameter optimization result of the guide vane actuator.

[0087] In one embodiment, the water turbine operation optimization device is further configured to: acquire the component structure information of the guide vane mechanism components, and perform a complexity analysis on the guide vane mechanism components based on the component structure information to obtain a complexity analysis result for each guide vane mechanism component. The component optimization module 806 is further configured to: perform a reliability analysis on the guide vane mechanism components based on the complexity analysis result and the diameter optimization result to obtain a reliability analysis result for each guide vane mechanism component.

[0088] In one embodiment, the component optimization module 806 is further configured to: when the complexity analysis result indicates that the structure of the guide vane mechanism component is complex, operate the three-dimensional water turbine model of the target water turbine based on the safe operating space of the guide vane actuator to analyze the component stiffness and strength of the guide vane mechanism component during operation to obtain a stiffness and strength analysis result for each guide vane mechanism component; and input the stiffness and strength analysis result into a component life prediction model to perform a life prediction on the guide vane mechanism component to obtain the remaining operating life for each guide vane mechanism component.

[0089] In one embodiment, the hydroturbine operation optimization device is further configured to: determine the part type of each part position in the guide vane mechanism parts. The part optimization module 806 is further configured to: respectively input the rigidity and strength analysis results of the weak part positions and the rigidity and strength analysis results of the stable part positions into the part life prediction model, perform life prediction on the guide vane mechanism parts, and obtain the remaining operation life of each guide vane mechanism part.

[0090] Each module in the above hydroturbine operation optimization device can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules.

[0091] In an exemplary embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 9 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store hydroturbine operation optimization data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a hydroturbine operation optimization method.

[0092] Those skilled in the art can understand that Figure 9 the structure shown in is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0093] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented: in response to an operation optimization instruction for a target water turbine, obtain the operating condition information of the target water turbine; based on the operating condition information, optimize the relay diameter of the guide vane relay in the target water turbine to obtain the diameter optimization result of the guide vane relay; for each guide vane mechanism part in the target water turbine except the guide vane relay, based on the diameter optimization result, perform a reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part; according to the diameter optimization result and the reliability analysis result, control the operation of the target water turbine to obtain the operation result of the target water turbine.

[0094] In an embodiment, when the processor executes the computer program, the following steps are further implemented: based on the operating condition information, perform three-dimensional modeling on the target water turbine to obtain a three-dimensional water turbine model of the target water turbine; run the three-dimensional water turbine model to obtain the guide vane water torque and the guide vane friction torque output by the three-dimensional water turbine model; based on the guide vane water torque and the guide vane friction torque, determine the target operating force of the guide vane relay for driving the operation of the target water turbine; according to the target operating force, optimize the relay diameter of the guide vane relay to obtain the diameter optimization result of the guide vane relay.

[0095] In an embodiment, when the processor executes the computer program, the following steps are further implemented: according to the target operating oil pressure required by the target operating force and the rated oil pressure of the guide vane relay, determine the safe operating oil pressure of the guide vane relay; based on the safe operating oil pressure, optimize the relay diameter of the guide vane relay to obtain the diameter optimization result of the guide vane relay.

[0096] In an embodiment, when the processor executes the computer program, the following steps are further implemented: obtain the part structure information of the guide vane mechanism part, and based on the part structure information, perform a complexity analysis on the guide vane mechanism part to obtain the respective complexity analysis results of each guide vane mechanism part; based on the diameter optimization result, perform a reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part, including: based on the complexity analysis result and the diameter optimization result, perform a reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part.

[0097] In one embodiment, when the processor executes the computer program, the following steps are further implemented: when the complexity analysis result indicates that the structure of the guide vane mechanism parts is complex, based on the safe operating space of the guide vane servomotor, run the three-dimensional turbine model of the target turbine, analyze the part stiffness and strength of the guide vane mechanism parts during operation, and obtain the respective stiffness and strength analysis results of each guide vane mechanism part; input the stiffness and strength analysis results into the part life prediction model, predict the life of the guide vane mechanism parts, and obtain the remaining operating life of each guide vane mechanism part.

[0098] In one embodiment, when the processor executes the computer program, the following steps are further implemented: determine the part type of each part position in the guide vane mechanism parts; the part type includes weak part positions and stable part positions; input the stiffness and strength analysis results into the part life prediction model, predict the life of the guide vane mechanism parts, and obtain the remaining operating life of the guide vane mechanism parts, including: respectively input the stiffness and strength analysis results of the weak part positions and the stable part positions into the part life prediction model, predict the life of the guide vane mechanism parts, and obtain the remaining operating life of each guide vane mechanism part.

[0099] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: in response to an operation optimization instruction for a target turbine, obtain the working condition information of the target turbine; based on the working condition information, optimize the servomotor diameter of the guide vane servomotor in the target turbine to obtain a diameter optimization result of the guide vane servomotor; for each guide vane mechanism part other than the guide vane servomotor in the target turbine, based on the diameter optimization result, perform a reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part; according to the diameter optimization result and the reliability analysis result, control the operation of the target turbine to obtain an operation result of the target turbine.

[0100] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: based on the working condition information, perform three-dimensional modeling on the target turbine to obtain a three-dimensional turbine model of the target turbine; run the three-dimensional turbine model to obtain the guide vane water torque and the guide vane friction torque output by the three-dimensional turbine model; based on the guide vane water torque and the guide vane friction torque, determine the target operating force of the guide vane servomotor that drives the target turbine to operate; according to the target operating force, optimize the servomotor diameter of the guide vane servomotor to obtain a diameter optimization result of the guide vane servomotor.

[0101] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining a safe operating oil pressure of the guide vane servomotor according to a target operating oil pressure required for a target operating force and a rated oil pressure of the guide vane servomotor; and optimizing a diameter of the guide vane servomotor based on the safe operating oil pressure to obtain an optimized result of the diameter of the guide vane servomotor.

[0102] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining part structure information of guide vane mechanism parts, and performing complexity analysis on the guide vane mechanism parts based on the part structure information to obtain respective complexity analysis results of each guide vane mechanism part; and performing reliability analysis on the guide vane mechanism parts based on the optimized diameter result to obtain respective reliability analysis results of each guide vane mechanism part, including: performing reliability analysis on the guide vane mechanism parts based on the complexity analysis result and the optimized diameter result to obtain respective reliability analysis results of each guide vane mechanism part.

[0103] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: when the complexity analysis result indicates that the structure of the guide vane mechanism part is complex, based on a safe operating space of the guide vane servomotor, running a three-dimensional turbine model of a target water turbine to analyze the part stiffness and strength of the guide vane mechanism part during operation to obtain respective stiffness and strength analysis results of each guide vane mechanism part; and inputting the stiffness and strength analysis results into a part life prediction model to predict the life of the guide vane mechanism part to obtain the remaining operating life of each guide vane mechanism part.

[0104] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining a part type of each part location in the guide vane mechanism parts; the part type includes a weak part location and a stable part location; inputting the stiffness and strength analysis results into a part life prediction model to predict the life of the guide vane mechanism part to obtain the remaining operating life of the guide vane mechanism part, including: respectively inputting the stiffness and strength analysis results of the weak part location and the stable part location into the part life prediction model to predict the life of the guide vane mechanism part to obtain the remaining operating life of each guide vane mechanism part.

[0105] In one embodiment, a computer program product is provided, including a computer program which, when executed by a processor, implements the following steps: in response to an operation optimization instruction for a target water turbine, obtain the operating condition information of the target water turbine; based on the operating condition information, optimize the actuator diameter of the guide vane actuator in the target water turbine to obtain the diameter optimization result of the guide vane actuator; for each guide vane mechanism part in the target water turbine other than the guide vane actuator, based on the diameter optimization result, perform a reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part; according to the diameter optimization result and the reliability analysis result, control the operation of the target water turbine to obtain the operation result of the target water turbine.

[0106] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: based on the operating condition information, perform three-dimensional modeling on the target water turbine to obtain a three-dimensional water turbine model of the target water turbine; run the three-dimensional water turbine model to obtain the guide vane water torque and the guide vane friction torque output by the three-dimensional water turbine model; based on the guide vane water torque and the guide vane friction torque, determine the target operating force of the guide vane actuator for driving the operation of the target water turbine; according to the target operating force, optimize the actuator diameter of the guide vane actuator to obtain the diameter optimization result of the guide vane actuator.

[0107] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: according to the target operating oil pressure required by the target operating force and the rated oil pressure of the guide vane actuator, determine the safe operating oil pressure of the guide vane actuator; based on the safe operating oil pressure, optimize the actuator diameter of the guide vane actuator to obtain the diameter optimization result of the guide vane actuator.

[0108] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: obtain the part structure information of the guide vane mechanism part, and based on the part structure information, perform a complexity analysis on the guide vane mechanism part to obtain the respective complexity analysis results of each guide vane mechanism part; based on the diameter optimization result, perform a reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part, including: based on the complexity analysis result and the diameter optimization result, perform a reliability analysis on the guide vane mechanism part to obtain the respective reliability analysis results of each guide vane mechanism part.

[0109] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: when the complexity analysis result indicates that the structure of the guide vane mechanism parts is complex, based on the safe operating space of the guide vane servomotor, run the three-dimensional turbine model of the target water turbine to analyze the part stiffness and strength of the guide vane mechanism parts during operation, and obtain the stiffness and strength analysis results of each guide vane mechanism part; input the stiffness and strength analysis results into the part life prediction model to predict the life of the guide vane mechanism parts, and obtain the remaining operating life of each guide vane mechanism part.

[0110] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determine the part type of each part position in the guide vane mechanism parts; the part type includes weak part positions and stable part positions; input the stiffness and strength analysis results into the part life prediction model to predict the life of the guide vane mechanism parts, and obtain the remaining operating life of the guide vane mechanism parts, including: respectively input the stiffness and strength analysis results of the weak part positions and the stable part positions into the part life prediction model to predict the life of the guide vane mechanism parts, and obtain the remaining operating life of each guide vane mechanism part.

[0111] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0112] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0113] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this application.

[0114] The above embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for optimizing the operation of a water turbine, characterized in that The method includes: In response to an operation optimization instruction for a target water turbine, obtaining the operating condition information of the target water turbine; Based on the operating condition information, optimizing the actuator diameter of the guide vane actuator in the target water turbine to obtain a diameter optimization result of the guide vane actuator; For each guide vane mechanism part other than the guide vane actuator in the target water turbine, based on the diameter optimization result, performing a reliability analysis on each guide vane mechanism part other than the guide vane actuator to obtain a respective reliability analysis result for each guide vane mechanism part; According to the diameter optimization result and the reliability analysis result, controlling the operation of the target water turbine to obtain an operation result of the target water turbine.

2. The method according to claim 1, wherein The optimizing the actuator diameter of the guide vane actuator in the target water turbine based on the operating condition information to obtain a diameter optimization result of the guide vane actuator includes: Based on the operating condition information, performing three-dimensional modeling on the target water turbine to obtain a three-dimensional water turbine model of the target water turbine; Running the three-dimensional water turbine model to obtain the guide vane water torque and the guide vane friction torque output by the three-dimensional water turbine model; Based on the guide vane water torque and the guide vane friction torque, determining the target operating force of the guide vane actuator for driving the operation of the target water turbine; According to the target operating force, optimizing the actuator diameter of the guide vane actuator to obtain a diameter optimization result of the guide vane actuator.

3. The method according to claim 2, characterized in that, The optimizing the actuator diameter of the guide vane actuator according to the target operating force to obtain a diameter optimization result of the guide vane actuator includes: According to the target operating oil pressure required by the target operating force and the rated oil pressure of the guide vane actuator, determining the safe operating oil pressure of the guide vane actuator; Based on the safe operating oil pressure, optimizing the actuator diameter of the guide vane actuator to obtain a diameter optimization result of the guide vane actuator.

4. The method according to claim 1, characterized in that, The method further includes: Obtaining the part structure information of the guide vane mechanism parts, and based on the part structure information, performing a complexity analysis on the guide vane mechanism parts to obtain a respective complexity analysis result for each guide vane mechanism part; The performing a reliability analysis on each guide vane mechanism part other than the guide vane actuator based on the diameter optimization result to obtain a respective reliability analysis result for each guide vane mechanism part includes: Based on the complexity analysis result and the diameter optimization result, performing a reliability analysis on each guide vane mechanism part other than the guide vane actuator to obtain a respective reliability analysis result for each guide vane mechanism part.

5. The method according to claim 4, wherein The diameter optimization result includes the safe operating space of the guide vane actuator; the reliability analysis result includes the rigid strength analysis result and the remaining operating life of the guide vane mechanism parts; The performing a reliability analysis on each guide vane mechanism part other than the guide vane actuator based on the complexity analysis result and the diameter optimization result to obtain a respective reliability analysis result for each guide vane mechanism part includes: When the complexity analysis result indicates that the structure of the guide vane mechanism parts is complex, based on the safe operating space of the guide vane servomotor, run the three-dimensional turbine model of the target water turbine, and analyze the part stiffness and strength of each guide vane mechanism part except the guide vane servomotor during operation to obtain the stiffness and strength analysis results of each guide vane mechanism part; Input the stiffness and strength analysis results into the part life prediction model to predict the life of the guide vane mechanism parts and obtain the remaining operating life of each guide vane mechanism part.

6. The method according to claim 5, wherein The method further includes: Determine the part type of each part position in the guide vane mechanism parts; the part type includes weak part positions and stable part positions; The step of inputting the stiffness and strength analysis results into the part life prediction model to predict the life of the guide vane mechanism parts and obtain the remaining operating life of the guide vane mechanism parts includes: Input the stiffness and strength analysis results of the weak part positions and the stiffness and strength analysis results of the stable part positions into the part life prediction model respectively to predict the life of the guide vane mechanism parts and obtain the remaining operating life of each guide vane mechanism part.

7. An operating optimization device for a water turbine, characterized in that, The device includes: An information acquisition module, configured to acquire the operating condition information of the target water turbine in response to an operation optimization instruction for the target water turbine; A diameter selection module, configured to optimize the servomotor diameter of the guide vane servomotor in the target water turbine based on the operating condition information to obtain the diameter optimization result of the guide vane servomotor; A part optimization module, configured to perform reliability analysis on each guide vane mechanism part except the guide vane servomotor in the target water turbine based on the diameter optimization result to obtain the reliability analysis result of each guide vane mechanism part; An operation module, configured to control the operation of the target water turbine according to the diameter optimization result and the reliability analysis result to obtain the operation result of the target water turbine.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

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

10. A computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 6.

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