Methods, systems, apparatus, and media to predict operating life of a water turbine runner

Abstract

The application relates to a method, system, device and medium for predicting the service life of a water turbine runner, which comprises the following steps: obtaining basic information of each working condition point of a water turbine unit, wherein the basic information comprises an operating water head, an output size and an operating start and stop time; according to the basic information of each working condition point, the working time proportion of the water turbine unit at each working condition point is counted; the stress condition of the runner when the water turbine unit operates at each working condition point is obtained; according to the stress condition of the runner when the water turbine unit operates at each working condition point, fatigue life calculation is performed to obtain the life of the runner at each working condition point; the working time proportion of the water turbine unit at each working condition point and the life of the runner at each working condition point are weighted and averaged to obtain the service life of the runner, so that the maintenance time of the water turbine can be better controlled by the staff, frequent shutdown inspection is not needed, and the problems that in the related art, the water turbine runner condition is manually checked, manpower and financial resources are wasted, and the working efficiency of the water turbine is affected are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hydroelectric power station water turbine units, in particular to a method, system, device and medium for predicting the operating life of a water turbine runner. BACKGROUND

[0002] In recent years, with the vigorous development of hydropower, the problem of runner cracks in water turbines has increased significantly. The runner crack problem seriously affects the safe operation of power stations. In related technologies, power station staff need to frequently stop the machine to check the condition of the water turbine runner. Sometimes, the runner is found to be in good condition, which leads to unnecessary downtime. Sometimes, the runner crack is found to be very serious, and it is necessary to spend several months to deal with the crack, which greatly reduces the economic benefit of the power station and affects the working efficiency of the water turbine.

[0003] At present, there is no effective solution to the problem of wasting a lot of manpower and financial resources and affecting the working efficiency of the water turbine due to the need for manual downtime to check the condition of the water turbine runner in related technologies. SUMMARY

[0004] The embodiments of the present application provide a method, system, device and medium for predicting the operating life of a water turbine runner, to at least solve the problem of wasting a lot of manpower and financial resources and affecting the working efficiency of the water turbine due to the need for manual downtime to check the condition of the water turbine runner in related technologies.

[0005] In a first aspect, the embodiments of the present application provide a method for predicting the operating life of a water turbine runner, the method comprising:

[0006] obtaining basic information of each working condition point of a water turbine unit, the basic information including operating head, output size and operating start and end time;

[0007] According to the basic information of each working condition point, the working time proportion of the water turbine unit at each working condition point is counted;

[0008] Obtaining the stress condition of the runner when the water turbine unit is running at each working condition point, and performing fatigue life calculation according to the stress condition of the runner when the water turbine unit is running at each working condition point to obtain the life of the runner at each working condition point;

[0009] The working time proportion of the water turbine unit at each working condition point and the life of the runner at each working condition point are weighted and averaged to obtain the operating life of the water turbine runner.

[0010] In some embodiments, according to the basic information of each working condition point, the working time proportion of the water turbine unit at each working condition point is counted, comprising:

[0011] The operation water head and the output size are divided into interval segments to obtain water head interval segments and output interval segments, wherein different water head interval segments and output interval segments constitute different working condition interval segments;

[0012] According to the running start and end time of the water turbine unit in each working condition interval segment, the working time proportion of the water turbine unit in each working condition interval segment is counted.

[0013] In some embodiments, dividing the operation water head and the output size into interval segments to obtain water head interval segments and output interval segments includes:

[0014] According to the operation water head, the water head interval segments are divided according to the water turbine unit characteristics, wherein the water turbine unit characteristics include minimum water head, maximum water head and operation water head frequency;

[0015] According to the output size, the output interval segments are divided according to the output regulation characteristics, wherein the output regulation characteristics include minimum output, maximum output and output size frequency.

[0016] In some embodiments, the method further includes:

[0017] According to the operation water head frequency and the output size frequency in each working condition interval segment, the calculation working condition points of each working condition interval segment are obtained;

[0018] The stress condition of the runner of the water turbine unit when running at each calculation working condition point is obtained, and the fatigue life calculation is performed according to the stress condition of the runner of the water turbine unit when running at each calculation working condition point to obtain the life of the runner at each calculation working condition point;

[0019] The working time proportion of the water turbine unit in each working condition interval segment and the life of the runner at each calculation working condition point are weighted and averaged to obtain the operation life of the water turbine runner.

[0020] In some embodiments, the fatigue life calculation is performed according to the stress condition of the runner of the water turbine unit when running at each working condition point to obtain the life of the runner at each working condition point, including:

[0021] Based on the finite element calculation and the fluid-structure coupling principle, the stress condition of the runner of the water turbine unit when running at each working condition point is applied to the runner, and the fatigue life calculation of the runner is performed by using the fatigue calculation software to obtain the life of the runner at each working condition point.

[0022] In some embodiments, the stress condition of the runner of the water turbine unit when running at each working condition point is applied to the runner, and the fatigue life calculation of the runner is performed by using the fatigue calculation software, including:

[0023] The force condition of the runner when the water turbine unit operates at each working point is applied to the runner, and the influence of micro-defects and micro-cracks on fatigue life is considered, and the fatigue calculation software is used to calculate the fatigue life of the runner.

[0024] In some embodiments, after obtaining the operation life of the water turbine runner, the method further comprises:

[0025] According to the difference between the operation life of the water turbine runner and the running time of the water turbine runner, the operation time of the water turbine runner is obtained.

[0026] In a second aspect, the embodiments of the present application provide a system for predicting the operation life of a water turbine runner, the system comprising a data acquisition module, a statistical analysis module and a calculation analysis module,

[0027] The data acquisition module is configured to acquire basic information of each working point of a water turbine unit, wherein the basic information comprises an operation head, an output size and an operation start and end time.

[0028] The statistical analysis module is configured to statistically analyze a working time proportion of the water turbine unit at each working point according to the basic information of each working point.

[0029] The calculation analysis module is configured to acquire a force condition of the runner when the water turbine unit operates at each working point, to perform fatigue life calculation according to the force condition of the runner when the water turbine unit operates at each working point, and to obtain a life of the runner at each working point.

[0030] The working time proportion of the water turbine unit at each working point and the life of the runner at each working point are weighted and averaged to obtain an operation life of the water turbine runner.

[0031] In a third aspect, the embodiments of the present application provide an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to realize the method for predicting the operation life of the water turbine runner according to the first aspect.

[0032] In a fourth aspect, the embodiments of the present application provide a storage medium having a computer program stored thereon, wherein the program is executed by a processor to realize the method for predicting the operation life of the water turbine runner according to the first aspect.

[0033] Compared with the related art, the method for predicting the operating life of a runner of a hydraulic turbine provided in the embodiments of the present application obtains basic information of each working condition point of a hydraulic turbine unit, the basic information including an operating head, a power size and an operating start and stop time, according to the basic information of each working condition point, calculates a working time proportion of the hydraulic turbine unit at each working condition point, obtains a stress condition of the runner of the hydraulic turbine unit when operating at each working condition point, according to the stress condition of the runner of the hydraulic turbine unit when operating at each working condition point, performs fatigue life calculation to obtain the life of the runner at each working condition point, and performs weighted average calculation on the working time proportion of the hydraulic turbine unit at each working condition point and the life of the runner at each working condition point to obtain the operating life of the runner of the hydraulic turbine, that is, the operating life of the runner of the hydraulic turbine is obtained, which can enable a staff member to better understand the performance of the runner and better control the maintenance time of the hydraulic turbine, without frequent shutdown inspection, and solves the problem in the related art that manual checking of the runner of the hydraulic turbine is required, which results in waste of manpower and financial resources and affects the working efficiency of the hydraulic turbine. BRIEF DESCRIPTION OF DRAWINGS

[0034] The accompanying drawings, which are included to provide a further understanding of the present application, form a part of the present application and help to explain the present application, but do not limit the present application. The illustrative embodiments of the present application and their description serve to explain the present application. In the drawings:

[0035] Figure 1 is a flowchart of a method for predicting the operating life of a runner of a hydraulic turbine according to an embodiment of the present application;

[0036] Figure 2 is a structural block diagram of a system for predicting the operating life of a runner of a hydraulic turbine according to an embodiment of the present application. DETAILED DESCRIPTION

[0037] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application is described and explained below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application. In addition, it can be understood that, although the efforts made in this development process can be complex and lengthy, some design, manufacturing or production changes made on the basis of the technical content disclosed in the present application are only routine technical means for those of ordinary skill in the art related to the content disclosed in the present application, and should not be understood as insufficient disclosure of the present application.

[0038] Reference to an "embodiment" in this application means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that that the embodiments described herein are merely examples from among a great variety of embodiments that, as a rule, display functional equivalency. It is specifically contemplated that an embodiment described herein can be combined with another embodiment unless specifically stated to the contrary.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The materials, methods, and examples provided herein are illustrative only and not intended to be limiting. Except to the extent necessary or inherent in the processes themselves, capital terms such as "comprise", "comprises", "comprising", "include", "includes", "including", "contain", "contains", "containing", "have", "has", "having", "may", "might", "must", "need", "or", "shall", "shalls", "should", "shouldn't", "will", and "would" are not intended to be limiting. The terms "a", "an", and "the" are not intended to be limiting. The terms "comprise", "comprises", "comprising", "include", "includes", "including", "contain", "contains", "containing", "have", "has", "having", "may", "might", "must", "need", "or", "shall", "shalls", "should", "shouldn't", "will", and "would" are not intended to be limiting. The terms "a", "an", and "the" are not intended to be limiting. The terms "plurality" and "a plurality" mean two or more. The term "and / or" means that there are three possibilities: either X or Y, or both X and Y. The terms "first", "second", "third", etc. are used to differentiate between similar objects, and do not imply a particular ordering.

[0040] A hydraulic turbine is a power machine that converts the energy of water flow into mechanical energy. In a hydropower station, water in an upstream reservoir is introduced to the hydraulic turbine through a diversion pipe, which drives the hydraulic turbine runner to rotate and drives the generator to generate electricity. The water that has done work is discharged to the downstream through a tailrace pipe. The higher the water head and the greater the flow, the greater the output power of the hydraulic turbine. The output power of the hydraulic turbine refers to the work done by the water flow with a certain water head and flow through the hydraulic turbine in a unit of time.

[0041] The embodiment provides a method for predicting the operating life of a hydraulic turbine runner, Figure 1 The method for predicting the operating life of the hydraulic turbine runner according to the embodiment of the application is shown in the flowchart as Figure 1 The method comprises the following steps:

[0042] Step S101, obtain the basic information of each working condition point of the hydraulic turbine unit, the basic information including the operating water head, the output size and the running start and end time; in the embodiment, different combinations of operating water head and output size are different working condition points, and the running time under different working condition points will affect the running life of the runner of the hydraulic turbine.

[0043] It should be noted that the operating water head H is the net water head during the operation of the power station, and the output size P refers to the water turbine output obtained by inversely calculating the generator efficiency according to the generator load, wherein P = P 有功 / η 发电机 , η 发电机 is the generator efficiency, the running start and end time t1, t2 should be recorded at least to seconds, the start time should be the time t1 of the previous operation command on the upper computer of the hydraulic turbine unit monitoring system, and the stop time should be the time t2 of the next operation command after the upper computer of the monitoring system, then the running time t = (t2-t1) of the hydraulic turbine unit under the working condition in the period, wherein the operation command refers to the operation command when the working condition is switched, for example, issuing a stop command, a start command, a load conversion from 30% Pe to 40% Pe, etc.

[0044] Step S102, according to the basic information of each working condition point, the working time proportion of the hydraulic turbine unit at each working condition point is counted; specifically, according to the running start and end time under each working condition, the running time under each working condition is obtained, the running time under the same working condition is added, and then the total running time under each working condition is obtained, and the ratio of the total running time under each working condition to the total running time under all working conditions is the working time proportion W i % of the hydraulic turbine unit at each working condition point, wherein i represents different working condition points.

[0045] Step S103, obtain the stress condition of the runner of the hydraulic turbine unit when running at each working condition point, and perform fatigue life calculation according to the stress condition of the runner of the hydraulic turbine unit when running at each working condition point to obtain the life of the runner at each working condition point; in the embodiment, physical modeling of the hydraulic turbine can be performed by running modeling software, full-flow analysis of the hydraulic turbine can be performed by using simulation calculation software, the stress condition of the runner of the hydraulic turbine unit when running at each working condition point is obtained, the stress condition of the runner is different when the hydraulic turbine unit runs at different working condition points, and the life of the runner is also different under different stress conditions, therefore, fatigue life calculation is performed according to the stress condition of the runner, and the life L i of the runner at each working condition point can be obtained.

[0046] Step S104, the working time proportion of the hydraulic turbine unit at each working condition point and the life of the runner at each working condition point are weighted and averaged to obtain the running life of the runner of the hydraulic turbine.

[0047] In this embodiment, the operating life of the runner of the hydraulic turbine is calculated as shown in the following formula 1:

[0048]

[0049] wherein W i represents the working time proportion of the hydraulic turbine unit at each working condition point, and ΣWi=100, L i represents the life of the runner at each working condition point, and i represents different working condition points.

[0050] Through steps S101 to S104, compared with the related art which needs manual shutdown to check the condition of the runner of the hydraulic turbine, resulting in waste of manpower and financial resources, and affecting the working efficiency of the hydraulic turbine, in this embodiment, the basic information of each working condition point of the hydraulic turbine unit is obtained, the basic information including the operating head, the output size and the operating start and end time, the working time proportion of the hydraulic turbine unit at each working condition point is calculated according to the basic information of each working condition point, the stress condition of the runner when the hydraulic turbine unit operates at each working condition point is obtained, the fatigue life is calculated according to the stress condition of the runner when the hydraulic turbine unit operates at each working condition point, the life of the runner at each working condition point is obtained, and the working time proportion of the hydraulic turbine unit at each working condition point and the life of the runner at each working condition point are weighted and averaged to obtain the operating life of the runner of the hydraulic turbine, that is, the operating life of the runner of the hydraulic turbine is obtained, which can enable the staff to better understand the performance of the runner and better control the maintenance time of the hydraulic turbine without frequent shutdown inspection, thereby solving the problem of the related art that manual checking of the condition of the runner of the hydraulic turbine results in waste of manpower and financial resources and affects the working efficiency of the hydraulic turbine.

[0051] In this embodiment, the predicted operating life of the runner of the hydraulic turbine refers to predicting the use time of the hydraulic turbine unit according to the operating condition of the hydraulic turbine unit, therefore, once the working condition changes, the predicted operating life will also change in real time, and the hydraulic turbine unit can also be analyzed in real time through this application.

[0052] In actual application, the number of different working condition points is large, and if the working time proportion of the hydraulic turbine unit at each working condition point is calculated one by one, it will result in large calculation amount and more time consumption, therefore, in some embodiments, the working time proportion of the hydraulic turbine unit at each working condition point is calculated according to the basic information of each working condition point, including:

[0053] The operating head and the output size are divided into interval segments to obtain the head interval segment and the output interval segment, wherein different head interval segments and output interval segments form different working condition interval segments, and the working time proportion of the hydraulic turbine unit at each working condition interval segment is calculated according to the operating start and end time of the hydraulic turbine unit at each working condition interval segment.

[0054] Exemplarily, the minimum operating water head is 31.5 m, the maximum operating water head is 66.5 m, the range of the operating water head can be evenly divided into 10 water head interval segments, even if there are 100 operating water head data, they can all be classified into the 10 water head interval segments. If the water head interval segment includes [31.5, 35) and [35, 39), and the output interval segment includes [30, 45) and [45, 60), four different working condition interval segments can be formed.

[0055] In the embodiment, by taking different working condition interval segments as different working condition points, the working time proportion of the hydraulic turbine unit in each working condition interval segment and the life of the runner under each working condition interval segment are counted, and the operating life of the hydraulic turbine runner is obtained through weighted average calculation, thereby further reducing the calculation amount and improving the calculation efficiency.

[0056] Optionally, the operating water head and the output size are divided into interval segments to obtain the water head interval segment and the output interval segment, which includes:

[0057] According to the water head interval segment obtained by dividing the operating water head according to the characteristics of the hydraulic turbine unit, the water head interval segment is obtained, wherein the characteristics of the hydraulic turbine unit include the minimum water head, the maximum water head and the operating water head frequency, and the output interval segment is obtained by dividing the output size according to the output regulation characteristics, wherein the output regulation characteristics include the minimum output, the maximum output and the output size frequency.

[0058] When the interval segments are evenly divided according to the range of the operating water head and the range of the output size, it is not considered which operating water head data and output size data are commonly used operating conditions, so that the predicted operating life of the hydraulic turbine runner is not accurate enough, therefore, in the embodiment, it can be judged which range of interval segment is commonly used operating interval segment according to the operating water head frequency and the output size frequency, and the commonly used operating interval segment is further subdivided, and the range of the operating interval segment which is not commonly used can be divided larger.

[0059] Exemplarily, when the minimum operating water head is 31.5 m and the maximum operating water head is 66.5 m, the frequency of the operating water head between 43 m and 55 m is relatively high, the commonly used operating interval segment is [43, 55], and when subdivided, it can be divided into [43, 45), [45, 47), [47, 49), [49, 51), [51, 53) and [53, 55), and the operating interval segment which is not commonly used is directly divided into [31.5, 45) and [55, 66.5].

[0060] In actual application, the representative point in each working condition interval segment can also be set as the calculation working condition point f of each working condition interval segment according to the characteristics of the power station. i The stress of the runner is calculated, so that the predicted operating life of the hydraulic turbine runner is more accurate.

[0061] Therefore, in some embodiments, according to the frequency of operating water head and the frequency of output size in each working condition interval segment, the calculation working condition points of each working condition interval segment are obtained; for example, the water head interval segment in the working condition interval segment is [43, 45), the processing interval segment is [45, 60), in the working condition interval segment, the operating water head data are 43, 44 and 44.5, and the corresponding output sizes are 45, 50 and 55.5, according to the characteristics of the power station operation, the working condition with the operating water head data of 43 and the output size of 45 is operated most frequently, and therefore, the working condition with the operating water head data of 43 and the output size of 45 is selected as the calculation working condition point of the working condition interval segment.

[0062] The stress of the runner of the hydraulic turbine unit when operating at each calculation working condition point is obtained, fatigue life calculation is performed according to the stress of the runner of the hydraulic turbine unit when operating at each calculation working condition point, the life of the runner at each calculation working condition point is obtained, the working time proportion of the hydraulic turbine unit in each working condition interval segment and the life of the runner at each calculation working condition point are weighted and averaged to obtain the operating life of the runner of the hydraulic turbine.

[0063] In some embodiments, the fatigue life calculation is performed according to the stress of the runner of the hydraulic turbine unit when operating at each working condition point, and the life of the runner at each working condition point is obtained, including:

[0064] Based on the finite element calculation and the fluid-structure coupling principle, the stress of the runner of the hydraulic turbine unit when operating at each working condition point is applied to the runner, and the fatigue life calculation software is used to perform fatigue life calculation on the runner to obtain the life of the runner at each working condition point. The task of the finite element calculation is to complete the relevant numerical calculation based on the finite element model and output the required calculation results. The amount of calculation of the finite element calculation is very large, so this part of work is completed by the computer. Except for the necessary settings and selection of the calculation method, calculation content, calculation parameters and working condition before calculation, human intervention is generally not required. The fluid-structure coupling principle refers to the deformation or movement of a deformed solid under fluid load. Deformation or movement in turn affects fluid movement, thereby changing the distribution and size of fluid load. It is this interaction that produces various fluid-structure coupling phenomena under different conditions.

[0065] In some embodiments, the stress of the runner of the hydraulic turbine unit when operating at each working condition point is applied to the runner, and the fatigue life calculation software is used to perform fatigue life calculation on the runner, including:

[0066] The force condition of the runner when the hydraulic turbine unit is running at each working point is applied to the runner, and the influence of the micro-defects and micro-cracks on the fatigue life is considered, and the fatigue calculation software is used to calculate the fatigue life of the runner. In this embodiment, when predicting the operating life of the runner, the micro-defects and micro-cracks existing in the runner itself also affect the life of the runner, so the influence of the micro-defects and micro-cracks on the life of the runner can be obtained through fatigue fracture simulation analysis and corresponding evaluation criteria, and then the fatigue calculation software is used to calculate the fatigue life of the runner, so that the life of the runner at each working point is more accurate.

[0067] In some embodiments, after obtaining the operating life of the hydraulic turbine runner, the operating time of the hydraulic turbine runner is obtained according to the difference between the operating life of the hydraulic turbine runner and the operating time of the hydraulic turbine runner. The predicted operating life is converted into time T, and the total operating time T0 is subtracted from the time T, and the operating time T of the runner under the same conditions can be obtained. s Through this embodiment, the staff can better control the maintenance time of the hydraulic turbine.

[0068] 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 set 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.

[0069] The embodiment also provides a system for predicting the operating life of the hydraulic turbine runner, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the terms "module", "unit", "sub-unit" and the like can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware or a combination of software and hardware is also possible and is conceived.

[0070] Figure 2 is a structural block diagram of the system for predicting the operating life of the hydraulic turbine runner according to the embodiment of the application, as Figure 2As shown, the system comprises a data acquisition module 21, a statistical analysis module 22 and a calculation analysis module 23, the data acquisition module 21 is used to acquire the basic information of each working condition point of the hydro-turbine unit, the basic information includes the operating water head, the output size and the running start and end time, the statistical analysis module 22 is used to calculate the working time length proportion of the hydro-turbine unit at each working condition point according to the basic information of each working condition point, the calculation analysis module 23 is used to acquire the stress condition of the runner of the hydro-turbine unit when running at each working condition point, to calculate the fatigue life according to the stress condition of the runner of the hydro-turbine unit when running at each working condition point, to obtain the life of the runner at each working condition point, to perform weighted average calculation on the working time length proportion of the hydro-turbine unit at each working condition point and the life of the runner at each working condition point, to obtain the running life of the runner of the hydro-turbine, so that the staff can better understand the performance of the runner and better control the maintenance time of the hydro-turbine, without frequent shutdown inspection, solving the problem of wasting manpower and financial resources and affecting the working efficiency of the hydro-turbine caused by manually checking the condition of the runner of the hydro-turbine in the related art.

[0071] Optionally, data can also be manually input to the data acquisition module 21, and the data acquisition module 21 also has functions of data storage, event sequence recording and retrieval.

[0072] It should be noted that each of the above modules can be a functional module or a program module, and can be implemented by software or hardware. For the modules implemented by hardware, each of the above modules can be located in the same processor; or each of the above modules can be located in different processors in any combination.

[0073] The embodiment also provides an electronic device including a memory and a processor, the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the method embodiments.

[0074] Optionally, the electronic device can further include a transmission device and an input and output device, wherein the transmission device is connected with the processor, and the input and output device is connected with the processor.

[0075] 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, and the embodiment will not be described here.

[0076] In addition, in combination with the method for predicting the running life of the runner of the hydro-turbine in the above embodiment, the embodiment can provide a storage medium for implementation. The storage medium stores a computer program; when the computer program is executed by a processor, the method for predicting the running life of the runner of the hydro-turbine in the above embodiment is implemented.

[0077] In one embodiment, a computer device is provided, which can be a terminal. The computer device comprises a processor, a memory, a network interface, a display screen and an input device connected by a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises 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 running the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is configured to communicate with external terminals through a network connection. The computer program is executed by the processor to implement a method for predicting the operating life of a water turbine runner. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0078] 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), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM) and memory bus dynamic RAM (RDRAM), etc.

[0079] Those skilled in the art should understand that any combination of the technical features of the above-mentioned embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above-mentioned embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0080] 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 all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A method of predicting the operating life of a runner of a hydraulic turbine, characterized in that, The method comprises: obtaining basic information of each working condition point of the hydraulic turbine unit, the basic information comprising an operating water head, an output size and an operating start and end time; according to the basic information of each working condition point, calculating a working time length proportion of the hydraulic turbine unit at each working condition point; obtaining a stress condition of the runner when the hydraulic turbine unit operates at each working condition point, and performing fatigue life calculation according to the stress condition of the runner when the hydraulic turbine unit operates at each working condition point to obtain a life of the runner at each working condition point; performing weighted average calculation on the working time length proportion of the hydraulic turbine unit at each working condition point and the life of the runner at each working condition point to obtain an operating life of the runner of the hydraulic turbine. According to the basic information of each working condition point, the working time length proportion of the hydraulic turbine unit at each working condition point comprises: dividing intervals of the operating water head and the output size to obtain water head interval segments and output interval segments, wherein different water head interval segments and output interval segments form different working condition interval segments; according to the operating start and end time of the hydraulic turbine unit at each working condition interval segment, calculating a working time length proportion of the hydraulic turbine unit at each working condition interval segment.

2. The method of claim 1, wherein, Dividing intervals of the operating water head and the output size to obtain water head interval segments and output interval segments comprises: dividing intervals of the operating water head according to the characteristics of the hydraulic turbine unit to obtain water head interval segments, wherein the characteristics of the hydraulic turbine unit comprise a minimum water head, a maximum water head and an operating water head frequency; dividing intervals of the output size according to the output adjustment characteristics to obtain output interval segments, wherein the output adjustment characteristics comprise a minimum output, a maximum output and an output size frequency.

3. The method of claim 1, wherein, The method further comprises: obtaining calculation working condition points of each working condition interval segment according to the operating water head frequency and the output size frequency in each working condition interval segment; obtaining a stress condition of the runner when the hydraulic turbine unit operates at each calculation working condition point, and performing fatigue life calculation according to the stress condition of the runner when the hydraulic turbine unit operates at each calculation working condition point to obtain a life of the runner at each calculation working condition point; performing weighted average calculation on the working time length proportion of the hydraulic turbine unit at each working condition interval segment and the life of the runner at each calculation working condition point to obtain an operating life of the runner of the hydraulic turbine.

4. The method of claim 1, wherein, According to the stress condition of the runner when the hydraulic turbine unit operates at each working condition point, performing fatigue life calculation to obtain a life of the runner at each working condition point comprises: based on finite element calculation and fluid-structure coupling principle, applying the stress condition of the runner when the hydraulic turbine unit operates at each working condition point to the runner, and performing fatigue life calculation on the runner by using fatigue calculation software to obtain a life of the runner at each working condition point.

5. The method of claim 4, wherein, Applying the stress condition of the runner when the hydraulic turbine unit operates at each working condition point to the runner and performing fatigue life calculation on the runner by using fatigue calculation software comprises: applying the stress condition of the runner when the hydraulic turbine unit operates at each working condition point to the runner, and considering the influence of micro-defects and micro-cracks on fatigue life, and performing fatigue life calculation on the runner by using fatigue calculation software.

6. The method of claim 1, wherein, After obtaining the operation life of the water turbine runner, the method further comprises: According to the difference between the operation life of the water turbine runner and the running time of the water turbine runner, the operation time of the water turbine runner is obtained.

7. A system for predicting the operating life of a runner of a hydraulic turbine, characterized in that it comprises: The system comprises a data acquisition module, a statistical analysis module and a calculation analysis module, The data acquisition module is configured to acquire basic information of each working condition point of the water turbine unit, wherein the basic information comprises an operation head, a power size and a running start and end time. The statistical analysis module is configured to statistically analyze a working time proportion of the water turbine unit at each working condition point according to the basic information of each working condition point. The calculation analysis module is configured to acquire a stress condition of the runner when the water turbine unit operates at each working condition point, perform fatigue life calculation according to the stress condition of the runner when the water turbine unit operates at each working condition point, and obtain a life of the runner at each working condition point. The working time proportion of the water turbine unit at each working condition point and the life of the runner at each working condition point are subjected to weighted average calculation to obtain the operation life of the water turbine runner. The statistical analysis module is configured to divide intervals of the operation head and the power size to obtain head interval segments and power interval segments, wherein different head interval segments and power interval segments form different working condition interval segments; and statistically analyze a working time proportion of the water turbine unit at each working condition interval segment according to the running start and end time of the water turbine unit at each working condition interval segment. 8.An electronic device comprising a memory and a processor, the electronic device comprising: The memory stores a computer program, and the processor is configured to run the computer program to execute the method for predicting the operation life of the water turbine runner according to any one of claims 1 to 6.

9. A storage medium, characterized by The storage medium stores a computer program, and the computer program is configured to execute the method for predicting the operation life of the water turbine runner according to any one of claims 1 to 6 when running.

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