A method, system, device and medium for evaluating the health state of a water turbine runner

Abstract

The application relates to a water turbine runner health state evaluation method, system, device and medium, wherein the method comprises the following steps: obtaining unit operation parameters of a water turbine unit, wherein the unit operation parameters comprise water turbine efficiency, runner chamber pressure pulsation numerical value, runner blade dynamic stress, cavitation coefficient and top cover vibration value; taking water turbine efficiency maximization, runner blade dynamic stress minimization, cavitation inhibition, runner chamber pressure pulsation control and top cover vibration control as targets, a target function representing the health state of the water turbine is constructed through principal component analysis; in the operation process of the water turbine unit, the health state of the water turbine unit is evaluated in real time through the target function, and the operation condition of the water turbine is adjusted in real time based on the evaluation result. Through the application, comprehensive evaluation of the runner health state based on multiple characteristic parameters is realized, the fatigue damage risk of structural components of the hydroelectric unit can be effectively found, and the problem of how to improve the evaluation accuracy of the health state of the water turbine runner is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hydroelectric power generation, in particular to a method, system and device for evaluating the health state of a water turbine runner and a medium. BACKGROUND

[0002] In order to cope with the demand for power grid load fluctuation and sudden failure, ecological flow discharge, and other problems, as well as the problem of unreasonable load distribution, the hydroelectric generating set needs to frequently cross the vibration zone or run in the vibration zone for a long time. Long-term deviation from stable operating conditions can cause the hydraulic characteristics of the unit to deteriorate significantly, and the flow passage components are prone to cavitation, flow separation and other hydraulic phenomena, causing water turbine runner cavitation, wear, cracks, and increased unit vibration. In other words, long-term operation in the vibration zone can cause loosening and fatigue damage of the structural components of the unit, and in severe cases, major accidents such as water flooding of the plant may occur.

[0003] Currently, the maintenance mode of hydroelectric generating sets is still mainly planned maintenance, under which water turbine runner faults can only be discovered during maintenance, lacking timeliness in problem handling. Although some real-time state monitoring or evaluation methods for hydroelectric generating sets have emerged, there are still certain limitations, such as the patent with publication number CN110552832A, which discloses a method for diagnosing faults and evaluating the health state of a hydroelectric generating set, which evaluates the health state of the unit by monitoring the unit output size, water turbine vibration amplitude, water turbine operating sound, no-load opening degree, braking time, bearing temperature, and tail water pressure pulsation. However, this method does not consider the differentiation of unit health state parameters under different operating conditions, and lacks specific evaluation of the water turbine runner. The patent with publication number CN113027658A discloses a real-time state evaluation method for a water turbine runner, which evaluates the state of the runner by monitoring the vibration and abnormal sound of the top cover. However, this method has fewer monitoring parameters and is difficult to comprehensively judge the operating state of the runner, lacking comprehensive evaluation of the health degree of the runner.

[0004] Currently, there is no effective solution to how to improve the evaluation accuracy of the health state of the water turbine runner in the related art. SUMMARY

[0005] The embodiments of the present application provide a method, system, device and medium for evaluating the health state of a water turbine runner, to at least solve the problem of how to improve the evaluation accuracy of the health state of the water turbine runner in the related art.

[0006] In a first aspect, the embodiments of the present application provide a method for evaluating the health state of a water turbine runner, the method comprising:

[0007] obtaining unit operating parameters of a hydroelectric generating set, wherein the unit operating parameters include water turbine efficiency, runner chamber pressure pulsation value, runner blade dynamic stress, cavitation coefficient, and top cover vibration value;

[0008] In some embodiments, constructing a target function representing the health state of the hydraulic turbine by principal component analysis method, with the goal of maximizing the efficiency of the hydraulic turbine, minimizing the dynamic stress of the runner blade, inhibiting cavitation, controlling the pressure pulsation of the runner chamber, and controlling the vibration of the top cover includes:

[0009] In the process of operation of the hydraulic turbine unit, the health state of the hydraulic turbine unit is evaluated in real time through the target function, and the operating condition of the hydraulic turbine is adjusted in real time based on the evaluation result.

[0010] In some embodiments, constructing a target function representing the health state of the hydraulic turbine by principal component analysis method, with the goal of maximizing the efficiency of the hydraulic turbine, minimizing the dynamic stress of the runner blade, inhibiting cavitation, controlling the pressure pulsation of the runner chamber, and controlling the vibration of the top cover includes:

[0011] Constructing a target function representing the health state of the hydraulic turbine based on weight coefficients ω1, ω2, ω3, ω4 and ω5, with the goal of maximizing the efficiency of the hydraulic turbine, minimizing the dynamic stress of the runner blade, inhibiting cavitation, controlling the pressure pulsation of the runner chamber, and controlling the vibration of the top cover.

[0012] The weight coefficients ω1, ω2, ω3, ω4 and ω5 of the unit operating parameters are calculated by principal component analysis method, that is, the target function is determined, wherein ω1 is the weight coefficient of the efficiency of the hydraulic turbine, ω2 is the weight coefficient of the pressure pulsation value of the runner chamber, ω3 is the weight coefficient of the vibration value of the top cover, ω4 is the weight coefficient of the cavitation coefficient, and ω5 is the weight coefficient of the dynamic stress of the runner blade.

[0013] In some embodiments, obtaining the efficiency of the hydraulic turbine of the hydraulic turbine unit includes:

[0014] Arranging an efficiency monitoring device in the hydraulic turbine unit, and collecting power data of the hydraulic turbine and the generator in the unit through the efficiency monitoring device;

[0015] Based on the power data, the efficiency of the hydraulic turbine of the hydraulic turbine unit is calculated by a hydraulic turbine efficiency formula.

[0016] In some embodiments, obtaining the pressure pulsation value of the runner chamber of the hydraulic turbine unit includes:

[0017] A pressure sensor is installed in the runner chamber of the hydraulic turbine unit, and the pressure condition of the runner chamber of the hydraulic turbine unit is collected through the pressure sensor, wherein the pressure sensor is uniformly arranged in 8 groups on the upper crown and the lower ring of the runner along the circumference.

[0018] Based on the collected runner chamber pressure data, the pressure pulsation value of the hydraulic turbine unit is calculated by a pressure pulsation formula.

[0019] In some embodiments, the method further comprises:

[0020] In some embodiments, the method further comprises:

[0021] In some embodiments, the method further comprises:

[0022] In some embodiments, the method further comprises:

[0023] In some embodiments, the method further comprises:

[0024] In some embodiments, the method further comprises:

[0025] In some embodiments, the method further comprises:

[0026] In a second aspect, the embodiments of the present application provide a health state evaluation system of a hydraulic turbine runner, the system being configured to execute the method of the first aspect, and the system comprising a data acquisition module, a data analysis module and a power station monitoring module.

[0027] The data acquisition module is configured to acquire unit operation parameters of the hydraulic turbine unit, wherein the unit operation parameters comprise a hydraulic turbine efficiency, a runner chamber pressure pulsation value, a runner blade dynamic stress, a cavitation erosion coefficient and a top cover vibration value.

[0028] The data analysis module is configured to construct a target function representing a health state of the hydraulic turbine by a principal component analysis method, with the target function being aimed at maximizing the hydraulic turbine efficiency, minimizing the runner blade dynamic stress, inhibiting cavitation erosion, controlling the runner chamber pressure pulsation and controlling the top cover vibration.

[0029] The power station monitoring module is configured to evaluate the health state of the hydraulic turbine unit in real time by the target function during operation of the hydraulic turbine unit, and to adjust a running condition of the hydraulic turbine in real time based on an evaluation result.

[0030] In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method of the first aspect when executing the computer program.

[0031] In a fourth aspect, a computer readable storage medium is provided, which stores a computer program, and the program is executable on a processor to implement the method of the first aspect.

[0032] Compared with the related art, the water turbine runner health state evaluation method, system, device and medium provided by the embodiments of the present application, wherein the method obtains the unit operation parameters of the water turbine unit, wherein the unit operation parameters include the water turbine efficiency, the runner chamber pressure pulsation value, the runner blade dynamic stress, the cavitation coefficient and the top cover vibration value; taking the maximization of the water turbine efficiency, the minimization of the runner blade dynamic stress, the cavitation suppression, the runner chamber pressure pulsation control and the top cover vibration control as the target, the principal component analysis method is used to construct the target function representing the health state of the water turbine; in the operation process of the water turbine unit, the health state of the water turbine unit is evaluated in real time through the target function, and the operation condition of the water turbine is adjusted in real time based on the evaluation result, realizing the comprehensive evaluation of the runner health condition based on the pressure pulsation, the runner blade stress, the cavitation coefficient, the water turbine efficiency and the top cover vibration, effectively discovering the fatigue damage risk of the water turbine structure caused by the cavitation, wear and tear, cracks and excessive vibration of the flow part, and the real-time updated target function provides a basis for dynamically adjusting the operation condition of the water turbine, effectively prolonging the maintenance period of the unit, improving the safety and operation efficiency of the unit, and solving the problem of how to improve the evaluation accuracy of the health state of the water turbine runner. BRIEF DESCRIPTION OF DRAWINGS

[0033] The accompanying drawings, which are included to provide a further understanding of the present application, form a part of the present application and illustrate the illustrative embodiments of the present application and together with the description, serve to explain the present application. In the drawings:

[0034] Figure 1 is a flow diagram of a water turbine runner health state evaluation method according to an embodiment of the present application;

[0035] Figure 2 is a flow diagram of water turbine runner operation characteristic parameter acquisition according to an embodiment of the present application;

[0036] Figure 3 is a schematic diagram of the arrangement of a specific system according to an embodiment of the present application;

[0037] Figure 4 is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the purposes, technical solutions, and advantages of the present application clearer, the present application is described and explained below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application. Based on the embodiments provided by the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort belong to the scope of the present application.

[0039] It is obvious that the accompanying drawings in the following description are only some examples or embodiments of the present application, and for those of ordinary skill in the art, the present application can be applied to other similar scenarios without creative effort based on the accompanying drawings. In addition, it can be understood that although the efforts made in the development process can be complex and lengthy, for those of ordinary skill in the art related to the content disclosed in the present application, some designs, manufacturing or production changes based on the technical content disclosed in the present application are only routine technical means and should not be understood as insufficient disclosure of the content disclosed in the present application.

[0040] In the present application, "embodiments" means that the specific features, structures or properties described in conjunction with the embodiments can be included in at least one embodiment of the present application. The phrase appears at various places in the specification does not necessarily refer to the same embodiment, nor is it mutually exclusive or alternative to other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in the present application can be combined with other embodiments without conflict.

[0041] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0042] This application provides a method for evaluating the health status of a water turbine runner. Figure 1 This is a flowchart illustrating the method for evaluating the health status of a turbine runner according to an embodiment of this application, as shown below. Figure 1 As shown, the method includes the following steps:

[0043] Step S102: Obtain the unit operating parameters of the turbine unit, including turbine efficiency, runner chamber pressure pulsation value, runner blade dynamic stress, cavitation coefficient and top cover vibration value.

[0044] Specifically, in step S102, Figure 2 This is a schematic diagram illustrating the process of obtaining the operating characteristic parameters of the turbine runner according to an embodiment of this application, as shown below. Figure 2 As shown, the pressure pulsation values ​​of the runner chamber are obtained through a pressure sensor array; the dynamic stress of the runner blades is measured by installing a strain gauge array at the root of the runner blades; the cavitation monitoring device is installed in the high cavitation risk area to obtain the cavitation coefficient; and the turbine efficiency is combined with the top cover vibration value obtained by the vibration sensor in real time. Specifically, step S102 includes the following steps:

[0045] Step S1021, obtaining the turbine efficiency of the turbine unit includes:

[0046] The efficiency monitoring device is arranged in the hydraulic turbine unit, and power data of the hydraulic turbine and the generator in the unit are collected by the efficiency monitoring device; and based on the power data, the hydraulic turbine efficiency of the hydraulic turbine unit is calculated by a hydraulic turbine efficiency formula.

[0047] In step S1021, the hydraulic turbine efficiency is a ratio of the output mechanical power and the input hydraulic power:

[0048]

[0049] wherein, is the output power of the hydraulic turbine, is the input hydraulic power.

[0050] The input hydraulic power is calculated by the following formula:

[0051]

[0052] wherein, is the inflow of the hydraulic turbine, is the working water head of the unit.

[0053] The output mechanical power is calculated by the following formula:

[0054]

[0055] wherein, is the electric power of the generator, is the efficiency of the generator.

[0056] wherein, is the line voltage of the generator, is the line current of the generator, is the phase angle.

[0057] In step S1022, the runner chamber pressure fluctuation value of the hydraulic turbine unit is obtained, including:

[0058] The pressure sensor is installed in the runner chamber of the hydraulic turbine unit, and the pressure sensor is arranged along the circumference on the upper crown and the lower ring of the runner, and 8 groups of pressure sensors are arranged on the upper crown and the lower ring of the runner, respectively; based on the collected runner chamber pressure data, the runner chamber pressure fluctuation value of the hydraulic turbine unit is calculated by a pressure fluctuation formula.

[0059] In step S1022, the pressure sensor is installed in the runner chamber, and the pressure sensor is arranged along the circumference on the upper crown and the lower ring of the runner, and 8 groups of pressure sensors are arranged on the upper crown and the lower ring of the runner, respectively; based on the collected runner chamber pressure data, the runner chamber pressure fluctuation value of the hydraulic turbine unit is calculated by a pressure fluctuation formula.

[0060]

[0061] wherein, and are the maximum and minimum values of the pressure sensor in the same sampling period, respectively.

[0062] In step S1023, the runner blade dynamic stress of the hydraulic turbine unit is obtained, including:

[0063] Strain sensors are installed on the runner blades of the hydraulic turbine unit, and the runner blade dynamic stress of the hydraulic turbine unit is collected directly through the strain sensors, wherein the strain sensors are arranged on the corresponding runner blades every 60°, and one is arranged on the water inlet edge and the water outlet edge of each runner blade.

[0064] In step S1024, the cavitation coefficient of the hydraulic turbine unit is obtained, including:

[0065] Cavitation monitoring devices are arranged on the runner blades of the hydraulic turbine unit, and the cavitation of the high cavitation risk area is collected through the cavitation monitoring devices, wherein the cavitation monitoring devices are arranged every 60° along the circumference near the position close to the lower half of the water outlet edge and the lower ring on the back of the runner blade; based on the collected cavitation data, the cavitation coefficient of the hydraulic turbine unit is calculated through the cavitation coefficient formula.

[0066] In step S1024, the cavitation coefficient of the high cavitation risk area is monitored through the cavitation monitoring device, and the specific arrangement points are: the position close to the lower half of the water outlet edge and the lower ring on the back of the runner blade; the device arrangement mode is: evenly arranged along the circumference, one set every 60°, a total of 6 sets. The basic principle of the device is:

[0067] The cavitation coefficient calculation formula of the high cavitation risk area is:

[0068]

[0069] wherein, is the atmospheric pressure water head, is the water vaporization pressure water head, is the suction height of the hydraulic turbine (the difference in height from the runner reference point to the tail water level, negative downward), and H is the working water head (net water head) of the hydraulic turbine.

[0070] The calculation formula of the working water head is:

[0071]

[0072] wherein, and are the upstream water level and the downstream water level of the power station, and are the inlet pressure of the turbine volute and the outlet pressure of the tail water, respectively, With respectively the water flow velocity at the inlet of the spiral case and the water flow velocity at the outlet of the draft tube of the hydraulic turbine, is the density of water (may take 1000 kg / m 3 ), is the acceleration of gravity (may take 9.81 m / s 2 ).

[0073] The calculation formula of the atmospheric pressure water head is:

[0074]

[0075] wherein, is the atmospheric pressure.

[0076] The calculation formula of the vaporization pressure water head of water is:

[0077]

[0078] wherein, , is the water temperature.

[0079] The calculation formula of the suction height of the hydraulic turbine is:

[0080]

[0081] wherein, is the elevation of the reference point of the runner, is the elevation of the tail water level.

[0082] In step S1025, the top cover vibration value of the hydraulic turbine unit is obtained, including:

[0083] The vibration sensor is installed on the top cover of the hydraulic turbine of the hydraulic turbine unit, and the top cover vibration value of the hydraulic turbine unit is collected directly through the vibration sensor, wherein the vibration sensor is respectively directed to X, Y and Z three directions, the X direction is along the radial direction of the large shaft of the unit, the Y direction is along the upstream side of the water flow into the unit, and the Z direction is perpendicular to the X direction and the Y direction.

[0084] In step S104, the objective function representing the health state of the hydraulic turbine is constructed by the principal component analysis method, with the maximum efficiency of the hydraulic turbine, the minimum dynamic stress of the runner blade, the inhibition of cavitation, the control of runner chamber pressure pulsation and the control of top cover vibration as the target;

[0085] Step S104 specifically includes the following steps:

[0086] In step S1041, the objective function representing the health state of the hydraulic turbine is constructed based on the weight coefficients ω1, ω2, ω3, ω4 and ω5, with the maximum efficiency of the hydraulic turbine, the minimum dynamic stress of the runner blade, the inhibition of cavitation, the control of runner chamber pressure pulsation and the control of top cover vibration as the target.

[0087] Step S1041, the objective function representing the health degree of the water turbine runner is calculated as follows:

[0088]

[0089] wherein ω1-ω5 represent the weight coefficients of the respective parameters, is the average of the sum of the maximum and average values of the pressure pulsation values measured by the 16 pressure sensors; is the water turbine efficiency; is the real-time top cover vibration index monitored by the vibration sensor, which is defined as the average of the sum of the maximum and average values of the vibration values measured by the three vibration sensors; is the cavitation erosion coefficient detected by the 6 sets of cavitation monitoring devices near the lower half of the water outlet edge of the runner blade back and the lower ring, which is defined as the average of the sum of the maximum and average values of the cavitation erosion coefficients measured by the 6 sets of cavitation monitoring devices; is the stress condition of the runner blade root monitored by the 12 strain sensors at the runner blade root, which is defined as the average of the sum of the maximum and average values of the stresses measured by the 12 strain sensors. Step S1042, the weight coefficients ω1, ω2, ω3, ω4 and ω5 of the unit operation parameters are calculated by principal component analysis, i.e. the objective function is determined, wherein ω1 is the weight coefficient of the water turbine efficiency, ω2 is the weight coefficient of the runner chamber pressure pulsation value, ω3 is the weight coefficient of the top cover vibration value, ω4 is the weight coefficient of the cavitation erosion coefficient, and ω5 is the weight coefficient of the runner blade dynamic stress. Step S1042, the weight coefficients ω1-ω5 of the objective function representing the health degree of the water turbine runner are determined as follows: a historical operation data set of the hydroelectric generating unit is established, and the parameter values obtained under different water heads and loads of the unit are established as the original data set, and the number of principal components k after principal component analysis is set to 5, thereby obtaining the contribution rates corresponding to the parameters, which are defined as the weight coefficients of the objective function representing the health degree of the water turbine runner, and thus the objective function is determined.

[0090] Step S1042, the weight coefficients ω1-ω5 of the objective function representing the health degree of the water turbine runner are determined as follows: a historical operation data set of the hydroelectric generating unit is established, and the parameter values obtained under different water heads and loads of the unit are established as the original data set, and the number of principal components k after principal component analysis is set to 5, thereby obtaining the contribution rates corresponding to the parameters, which are defined as the weight coefficients of the objective function representing the health degree of the water turbine runner, and thus the objective function is determined.

[0091] Step S1042, the weight coefficients ω1-ω5 of the objective function representing the health degree of the water turbine runner are determined as follows: a historical operation data set of the hydroelectric generating unit is established, and the parameter values obtained under different water heads and loads of the unit are established as the original data set, and the number of principal components k after principal component analysis is set to 5, thereby obtaining the contribution rates corresponding to the parameters, which are defined as the weight coefficients of the objective function representing the health degree of the water turbine runner, and thus the objective function is determined. ​​​​​​​​​​​​

[0092] The realization principle of the principal component analysis method is to find the main direction (the direction with the largest variance) in the data, project the original data onto the main direction, and screen out data with low correlation with the main direction, so as to reduce the complexity of the data.

[0093] The method first calculates the covariance matrix Q of the original data set Y:

[0094]

[0095] Where N is the data length.

[0096] Then, the eigenvalue decomposition of the covariance matrix Q is performed to obtain the eigenvector and the eigenvalue :

[0097]

[0098] In the formula, , .

[0099] After linear transformation, the principal component vector is obtained:

[0100]

[0101] The first k principal components with the highest contribution rate are selected, and the data is reconstructed, k being the dimension after the principal component analysis method processing. The selected k eigenvectors form a projection matrix, which is used to map the original data into a low-dimensional space to obtain new low-dimensional space data.

[0102] The contribution rate is calculated as follows:

[0103]

[0104] Where, is the variance of , and is the sum of all variances.

[0105] Step S106, in the operation process of the hydro-turbine set, the health status of the hydro-turbine set is evaluated in real time through the objective function, and the operation condition of the hydro-turbine is adjusted in real time based on the evaluation result.

[0106] Step S106 Specifically, the water turbine operating condition is adjusted according to the obtained target function, and the target function is updated in real time, and the target function under the stable operating condition of the unit under the same water head is taken as a reference value, which is fed back to the monitoring system to provide a basis for adjusting the operating condition of the unit, and the target function is updated in real time during the adjustment process. If the target function value under the current water turbine operating condition is less than or equal to the target function value of the runner health degree under the stable operating condition, the current operating condition meets the stable operating condition, and the adjustment process is recommended to end; otherwise, the water turbine operating condition is continuously recommended to be adjusted until the requirement is met.

[0107] Through the above steps in the embodiments of the present application, the comprehensive evaluation of the runner health condition based on pressure pulsation, runner blade stress, cavitation coefficient, water turbine efficiency and top cover vibration is realized, which can effectively find the fatigue damage risk of the water turbine structure caused by the cavitation, wear and tear, cracks and excessive vibration of the over-flowing component. The target function updated in real time provides a basis for dynamically adjusting the water turbine operating condition, effectively prolongs the maintenance period of the unit, improves the safety and operating efficiency of the unit, and solves the problem of how to improve the evaluation accuracy of the water turbine runner health state.

[0108] It should be noted that the steps shown in the above flow or the flowchart of the accompanying drawings can be executed in a computer system such as a group of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0109] The embodiments of the present application provide a water turbine runner health state evaluation system, which is used to execute the method of the first aspect, and the system comprises a data acquisition module, a data analysis module and a power station monitoring module.

[0110] The data acquisition module is used to acquire the unit operating parameters of the water turbine unit, wherein the unit operating parameters comprise water turbine efficiency, runner chamber pressure pulsation value, runner blade dynamic stress, cavitation coefficient and top cover vibration value.

[0111] The data analysis module is used to construct a target function representing the health state of the water turbine by principal component analysis method, with the targets of maximizing the water turbine efficiency, minimizing the runner blade dynamic stress, inhibiting cavitation, controlling the runner chamber pressure pulsation and controlling the top cover vibration.

[0112] The power station monitoring module is used to evaluate the health state of the water turbine unit in real time through the target function during the operation of the water turbine unit, and adjust the water turbine operating condition in real time based on the evaluation result.

[0113] It should be noted that the above various modules can be functional modules or program modules, which can be implemented by software or hardware. For the modules implemented by hardware, the above various modules can be located in the same processor; or the above various modules can also be located in different processors in any combination.

[0114] The embodiment of the application provides a specific system for evaluating the health state of a water turbine runner, Figure 3 is a schematic diagram of the arrangement of the specific system according to the embodiment of the application, as Figure 3 indicated, comprising a sensor array, a data acquisition system, a real-time calculation engine, a data transmission system and a data storage system.

[0115] The monitoring system is as Figure 3 indicated, and the data acquisition subsystem mainly comprises a sensor array and an A / D converter. The A / D converter converts the electrical signals collected by the sensor array into digital signals for subsequent analysis. The monitoring signals are the monitoring parameters collected by the sensor array, such as runner chamber pressure pulsation, runner blade root dynamic stress, high-altitude erosion risk area cavitation coefficient, water turbine efficiency value and top cover vibration value. The evaluation parameters are the objective functions for evaluating the health state of the water turbine.

[0116] The sensor array comprises: 18 groups of pressure sensors (8 groups of pressure sensors are uniformly arranged along the circumference on the upper crown and the lower ring of the runner, one group of pressure sensors is arranged at the inlet of the spiral case and the outlet of the tail water, and the precision can reach ±0.1%), 12 strain sensors (6 strain sensors are uniformly arranged along the circumference at the water inlet edge and the water outlet edge of the blade, and the sensitivity is 2.2-22.0 mV / kgF), one voltage transformer, one current transformer, one power analyzer (used for measuring the electric power of the generator), one ultrasonic flow meter (used for measuring the flow of the unit), five water level meters (runner reference point, upstream and downstream of the power station, inlet of the spiral case and outlet of the tail water), six temperature sensors and six barometers (the temperature sensors and the barometers are uniformly arranged along the circumference near the lower half of the water outlet edge of the back of the runner blade and the lower ring), the precision of the temperature meter is less than or equal to ±0.1°C, the barometer is temperature-compensated, and the sampling frequency is greater than 1 kHz, and three vibration sensors (the vibration sensors are arranged on the top cover of the water turbine in X, Y and Z directions, and the frequency response range of the low-frequency vibration sensor is 0.5 Hz-80 Hz)

[0117] The data analysis subsystem is mainly composed of a high-performance data analysis workstation, which is configured with an i7-10850 six-core processor (with a basic frequency of 2.70 Hz), 32 GB DDR4 memory, and a 2T solid state disk. The evaluation parameters representing the health status of the water turbine runner are obtained by the data analysis subsystem through real-time calculation of the monitoring signals collected by the real-time calculation engine. The evaluation parameters are transmitted to the power station monitoring system in two ways: one way is transmitted to the power station monitoring system through the data transmission system for the operator to understand the health status of the runner in real time, and the other way is stored in the workstation through the data storage system for the operator to query historical data.

[0118] The electronic device provided in the embodiment includes a memory and a processor, the memory stores a computer program, and the processor is configured to execute the computer program to perform the steps in any of the method embodiments described above.

[0119] Optionally, the electronic device described above can further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0120] Optionally, the electronic device can further include a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The network interface of the electronic device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement a water turbine runner health status evaluation method. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen. The input device of the electronic device can be a touch layer overlaid on the display screen, or a key, trackball, or touchpad arranged on the shell of the electronic device, or an external keyboard, touchpad, or mouse, etc.

[0121] It should be noted that the specific examples in the embodiment can refer to the examples described in the above embodiments and optional implementation manners, which will not be described here again.

[0122] In addition, in combination with the water turbine runner health status evaluation method in the above embodiments, the embodiments of the present application can provide a storage medium to implement. The storage medium stores a computer program; the computer program is executed by the processor to implement any of the water turbine runner health status evaluation methods in the above embodiments.

[0123] In one embodiment, Figure 4 is a schematic diagram of the internal structure of the electronic device according to the embodiments of the present application, such as Figure 4As shown, an electronic device, which can be a server, is provided, and an internal structure diagram thereof can be as shown. Figure 4 The electronic device includes a processor, a network interface, an internal memory, and a non-volatile memory connected through an internal bus, wherein the non-volatile memory stores an operating system, a computer program, and a database. The processor is configured to provide computing and control capabilities, the network interface is configured to communicate with an external terminal through a network connection, the internal memory is configured to provide an environment for the operating system and the computer program to run, the computer program is executed by the processor to implement a method for evaluating the health state of a hydraulic turbine runner, and the database is configured to store data.

[0124] Those skilled in the art can understand that Figure 4 The structure shown in the above embodiment is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. Specifically, the electronic device can include more or fewer components than those shown in the diagram, or some components can be combined, or have a different arrangement of components.

[0125] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. 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 above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAM bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0126] Those skilled in the art should understand that each technical feature of the above-mentioned embodiments can be combined arbitrarily, and for the sake of brevity, all possible combinations of the technical features in the above-mentioned embodiments are not described, but as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0127] The above-described embodiments are merely illustrative of several embodiments of the present application, which are described in more detail and in a specific manner, but should not be construed as limiting the scope of the patent. It should be noted that for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, and these are all within the scope of the present application. Therefore, the scope of protection of the patent of the present application should be subject to the appended claims.

Claims

1. A method for evaluating the health status of a water turbine runner, characterized in that, The method includes: The unit operating parameters of the turbine generator set are obtained, including turbine efficiency, runner chamber pressure pulsation value, runner blade dynamic stress, cavitation coefficient and top cover vibration value. With the objectives of maximizing turbine efficiency, minimizing dynamic stress in runner blades, suppressing cavitation, controlling runner chamber pressure pulsation, and controlling top cover vibration, an objective function characterizing the turbine's health state is constructed based on weighting coefficients ω1, ω2, ω3, ω4, and ω5: in, The pressure pulsation value is obtained from the pressure sensor. For the efficiency of the water turbine, The vibration index of the roof as monitored by the vibration sensor. The cavitation erosion coefficient is measured by a cavitation monitoring device located near the lower half of the water outlet edge on the back of the runner blades, close to the lower ring. For the stress at the root of the turbine blade monitored by the strain sensor at the root of the turbine blade, ω1 is the weighting coefficient of the turbine efficiency, ω2 is the weighting coefficient of the pressure pulsation value of the turbine chamber, ω3 is the weighting coefficient of the top cover vibration value, ω4 is the weighting coefficient of the cavitation coefficient, and ω5 is the weighting coefficient of the dynamic stress of the turbine blade. The weight coefficients ω1, ω2, ω3, ω4 and ω5 of the unit operating parameters are calculated by principal component analysis, thereby determining the objective function; During the operation of the turbine unit, the health status of the turbine unit is evaluated in real time through the objective function, and the turbine operating conditions are adjusted in real time based on the evaluation results.

2. The method according to claim 1, characterized in that, The turbine efficiency of a hydro-turbine unit includes: An efficiency monitoring device is installed in the turbine unit to collect power data of the turbine and generator in the unit. Based on the power data, the turbine efficiency of the turbine unit is calculated using the turbine efficiency formula.

3. The method according to claim 1, characterized in that, The data for obtaining pressure pulsation values ​​in the turbine runner of the hydroelectric generator unit include: Pressure sensors are installed in the runner chamber of the turbine unit to collect the pressure in the runner chamber. The pressure sensors are evenly arranged in eight sets along the circumference of the runner, on the upper crown and the lower ring. Based on the collected turbine runner pressure data, the pressure pulsation value of the turbine runner is calculated using the pressure pulsation formula.

4. The method according to claim 1, characterized in that, Obtaining the dynamic stress of the turbine runner blades includes: Strain sensors are installed on the turbine runner blades of the turbine unit to directly collect the dynamic stress of the turbine runner blades. The strain sensors are arranged at 60° intervals on the corresponding turbine runner blades, with one strain sensor installed on each runner blade at both the inlet and outlet sides.

5. The method according to claim 1, characterized in that, Obtaining the cavitation coefficient of a hydro turbine unit includes: A cavitation monitoring device is installed on the turbine blades of the turbine unit to collect cavitation erosion data in high cavitation risk areas. The cavitation monitoring device is located near the lower half of the water outlet edge on the back of the turbine blade and the lower ring, with one set arranged every 60° along the circumference. Based on the collected cavitation data, the cavitation coefficient of the turbine unit is calculated using the cavitation coefficient formula.

6. The method according to claim 1, characterized in that, The vibration values ​​of the turbine generator's roof include: Vibration sensors are installed on the turbine top cover of the turbine unit to directly collect the vibration value of the turbine top cover. The vibration sensors are oriented in three directions: X, Y, and Z. The X direction is the radial direction along the main shaft of the unit, and the Y direction is the direction along the upstream side of the water flow into the unit.

7. A health status evaluation system for a water turbine runner, characterized in that, The system is used to perform the method according to any one of claims 1 to 6, and the system includes a data acquisition module, a data analysis module, and a power plant monitoring module; The data acquisition module is used to acquire the unit operating parameters of the turbine unit, including turbine efficiency, runner chamber pressure pulsation value, runner blade dynamic stress, cavitation coefficient and top cover vibration value. The data analysis module is used to construct an objective function characterizing the health status of the turbine using principal component analysis, with the objectives of maximizing turbine efficiency, minimizing dynamic stress of runner blades, suppressing cavitation, controlling runner chamber pressure pulsation, and controlling top cover vibration. The power plant monitoring module is used to evaluate the health status of the turbine unit in real time through the objective function during the operation of the turbine unit, and adjust the turbine operating conditions in real time based on the evaluation results.

8. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the method of any one of claims 1 to 6.

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

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