WO2022237917A1 - 核电站汽轮机控制阀门性能诊断方法、存储介质及计算机 - Google Patents

核电站汽轮机控制阀门性能诊断方法、存储介质及计算机 Download PDF

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WO2022237917A1
WO2022237917A1 PCT/CN2022/103133 CN2022103133W WO2022237917A1 WO 2022237917 A1 WO2022237917 A1 WO 2022237917A1 CN 2022103133 W CN2022103133 W CN 2022103133W WO 2022237917 A1 WO2022237917 A1 WO 2022237917A1
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valve
steam turbine
steam
oil motor
performance
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French (fr)
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杨里平
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中广核工程有限公司
中国广核集团有限公司
中国广核电力股份有限公司
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Publication of WO2022237917A1 publication Critical patent/WO2022237917A1/zh

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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • the invention relates to the field of steam turbines in nuclear power plants, and more specifically relates to a method for diagnosing the performance of control valves of steam turbines in nuclear power plants, a storage medium and a computer.
  • the steam inlet valve resistance of the steam turbine is one of the important performance indicators of the steam turbine valve, which will directly affect the switching time of the main steam valve and the regulating valve of the steam turbine.
  • the fast closing time of the main steam valve and regulating valve of the steam turbine is directly related to the safety of the steam turbine, and is one of the important indicators for the safety of the steam turbine.
  • Both nuclear power plants and thermal power plants have strict standards for the fast closing time of the main steam valve and regulating valve of the steam turbine. . Therefore, how to measure and analyze the resistance when the steam inlet valve of the steam turbine is installed and running is an important index for analyzing the driving ability and fast closing ability of the steam turbine oil motor in operation, and it is also the key for analyzing the fast closing time of the main steam valve and the control valve.
  • the opening driving force of the steam turbine inlet valve comes from the high-pressure hydraulic oil pressure entering the oil motor
  • the closing driving force comes from the spring force in the oil motor
  • the resistance mainly comes from the friction force inside the oil motor and the steam shut-off resistance during operation.
  • the elastic force of the spring can be obtained according to the parameters of the spring and the test data of the manufacturer when leaving the factory.
  • the internal friction of the oil motor is related to the piston in the oil motor and the type of oil used, and it will change as the running time goes by. There are no tools and measuring points for online measurement of steam shut-off resistance, and it needs to be obtained indirectly through experiments.
  • the oil motor resistance is generally tested by the oil motor manufacturer in the factory, and the corresponding test data will be provided in the factory acceptance report. After the test is completed, the oil motor and the valve body are assembled, and the complete set is sent to a nuclear power plant or a thermal power plant. After the oil motor arrives at the power plant, it generally does not have the conditions for the resistance test of the oil motor. When the driving force of the main steam valve or regulating valve of the steam turbine is insufficient or jammed, if it is suspected that the oil motor piston or system design resistance is too large, it is necessary to return the oil motor to the manufacturer for testing. The oil motor needs to be disassembled and reassembled during the test, and the hydraulic oil used in the test needs to be filtered for a long time to meet the requirements.
  • the technical problem to be solved by the present invention is to provide a method for diagnosing the performance of a steam turbine control valve in a nuclear power plant, a storage medium and a computer for the above-mentioned defects of the prior art.
  • the technical solution adopted by the present invention to solve the technical problems is: to construct a method for diagnosing the performance of a steam turbine control valve in a nuclear power plant, which is characterized in that it comprises the following steps:
  • the intelligent diagnosis system performs an intelligent diagnosis combining qualitative analysis and quantitative analysis on the steam inlet valve according to the obtained test data.
  • the present invention also provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor, so as to execute the above-mentioned method for diagnosing the performance of a steam turbine control valve in a nuclear power plant. step.
  • the present invention also provides a computer, including a memory and a processor, the memory stores a computer program, and the processor executes the above-mentioned nuclear power plant steam turbine control valve by calling the computer program stored in the memory. Steps in the performance diagnostics method.
  • a method for diagnosing the performance of a steam turbine control valve in a nuclear power plant, a storage medium, and a computer implementing the present invention have the following beneficial effects: the present invention provides online fault diagnosis basis for fault diagnosis of steam turbine main steam valves and control valves with fast closing time exceeding the standard, jamming, etc. , to provide an online measurement method for oil motor resistance measurement, which can shorten the maintenance time, reduce the number of unit stoppages, and improve the safety and economy of the unit.
  • Fig. 1 is the flow chart of the method for diagnosing the performance of the steam turbine control valve of the nuclear power plant provided by the embodiment of the present invention
  • Fig. 2 is a flow chart of a method for diagnosing the performance of a steam turbine control valve in a nuclear power plant provided by an embodiment of the present invention
  • Fig. 3 is the oil pressure-valve position characteristic curve diagram of the steam turbine oil motor provided by the embodiment of the present invention.
  • Fig. 4 is a friction force-valve position-oil pressure characteristic curve of the oil motor friction force changing with the oil pressure provided by the embodiment of the present invention.
  • FIGS. 1 , 2 , 3 and 4 The present invention will be described with reference to FIGS. 1 , 2 , 3 and 4 .
  • the nuclear power plant steam turbine control valve performance diagnosis method of the present embodiment includes the following steps:
  • the resistance of the steam inlet valve is measured before the steam inlet valve is supplied with steam.
  • the intelligent diagnosis system performs an intelligent diagnosis combining qualitative analysis and quantitative analysis on the steam inlet valve according to the obtained test data.
  • This embodiment provides an online fault diagnosis basis for fault diagnosis such as fast closing time exceeding the standard and jamming of the main steam valve and control valve of the steam turbine, and provides an online measurement method for the oil motor resistance measurement, which can shorten the maintenance time and reduce the number of accidental shutdowns of the unit. Improve the safety and economy of the unit.
  • the oil motor resistance manufacturer database established in step S1 includes: the valve body and the oil motor of the main steam valve and regulating valve of the steam turbine are generally assembled and tested by the manufacturer in the factory, and the complete set Sent to the site for complete installation on site. According to the test data provided by the oil motor manufacturer, a corresponding database is established according to the number of the oil motor of the main steam valve or control valve of the steam turbine, and input into the fault diagnosis system of the steam turbine valve debugging and fault diagnosis device.
  • the oil motor resistance manufacturer database includes the following data:
  • Oil motor type number, piston area, friction.
  • the total length of the valve stem of the oil motor, the position of the valve stem at the fully closed position, the position of the valve stem at the fully open position, and the total stroke of the valve is the total length of the valve stem of the oil motor, the position of the valve stem at the fully closed position, the position of the valve stem at the fully open position, and the total stroke of the valve.
  • Oil motor command output signal type range, fully open position value, fully closed position value.
  • the establishment of an oil motor resistance installation database in step S1 includes: establishing a corresponding database according to the oil motor number of the main steam valve or regulating valve of the steam turbine, and inputting the steam turbine valve debugging and fault diagnosis device
  • the oil motor resistance installation database includes the following data:
  • the oil motor valve stem position when the main steam valve or regulating valve is in the mechanical zero position of the fully closed position is in the mechanical zero position of the fully closed position.
  • the oil motor valve stem position of the main steam valve or regulating valve fully open position.
  • the stroke length of the oil motor valve stem of the main steam valve or regulating valve is the stroke length of the oil motor valve stem of the main steam valve or regulating valve.
  • the establishment of an intelligent diagnosis system in step S2 includes:
  • step S212 includes: providing an interface for connecting the steam turbine valve switch command, feedback, valve position feedback, and oil pressure signal to the steam turbine valve debugging and fault diagnosis device.
  • step S2 Carrying out performance measurement to steam inlet valve in step S2 comprises:
  • step S221 includes: when testing the normal opening time of the valve, recording the normal opening time of the valve from the test curve, and recording the valve positions of the fully closed position and the fully open position of the valve Transmitter current value.
  • step S222 includes: when performing the normal closing time test of the valve, recording the normal closing time of the valve from the test curve, and recording the valve positions of the fully closed position and the fully open position of the valve Transmitter current value.
  • step S223 includes: when performing the valve fast closing time test, recording the fast closing time of the valve from the test curve, and recording the valve positions of the fully closed position and the fully open position of the valve Transmitter current value.
  • step S224 includes: performing a steam turbine main steam valve and regulating valve oil pressure-valve position performance test, recording the valve position value of each valve when the valve is opened according to the valve number, The output current of the valve position transmitter and the oil pressure value of the oil motor. During the test, the valve is opened and closed normally. By comparing the data of the normal opening time test and the normal closing time test of the valve, it is confirmed that the valve switch is flexible without jamming and the value is stable.
  • step S225 includes: a test for testing the dynamic adjustment performance of the control valve, a step response performance test for the test verification instruction and valve position, and recording the value of each valve according to the valve number Valve position value, command value, and oil pressure value of the oil motor. During the test, it is confirmed that the valve switch is flexible and free of jamming, and the value is stable.
  • step S226 includes: through the speed algorithm in the steam turbine valve debugging and fault diagnosis device diagnosis system, calculate the speed of the oil-driven switch process of the inlet valve and draw a curve, using for analyzing and assessing resistance.
  • the valve position and command of the inlet valve need to be verified before the performance test, and the following parameters of each valve are obtained: the current value of the valve position electrical zero position and the valve stem length, as well as current and stem length in the fully open position of the valve.
  • step S3 includes:
  • step S31 includes: obtaining the oil pressure-valve position characteristic curve of the steam turbine oil motor, in the oil pressure-valve position characteristic curve: the valve reaches the full The corresponding oil pressure at the closed position corresponds to the coordinate point a, the corresponding oil pressure corresponds to the coordinate point b when the valve is just opened, the corresponding oil pressure corresponds to the coordinate point c when the valve opening is fully open during the valve opening process, and the corresponding oil pressure corresponds to the coordinate point c when the valve is closed. When the corresponding oil pressure corresponds to the coordinate point d.
  • the parameters of the 4 states a, b, c, and d can be obtained, including:
  • step S32 includes:
  • the driving force of the oil motor comes from the pressure of the high-pressure hydraulic oil, and the calculation is as follows:
  • F d is the driving force of the oil motor
  • P is the pressure of the oil motor
  • S is the piston area of the oil motor.
  • the driving force of the oil motor comes from the elastic force of the spring on the piston of the oil motor, which is calculated as follows:
  • K is the elastic coefficient
  • X is the spring deformation
  • step S33 includes:
  • F is the total force of the oil motor, and it is 0 when the valve moves at a constant speed.
  • F m is the spring force of the oil motor.
  • k m is the spring force coefficient of the oil motor, which is -1 in the process of opening the valve and 1 in the process of closing the valve.
  • F s is the steam force, and this value is 0 before the steam inlet valve of the steam turbine passes steam.
  • F f is the oil motor friction.
  • F g is the gravity of the valve stem.
  • F d is the oil pressure driving force of the oil engine.
  • k d is the oil pressure driving force coefficient of the oil motor, which is 1 during the valve opening process and -1 during the valve closing process. F was kept at zero during the running of the test.
  • step S34 includes:
  • the resistance at valve opening is calculated as follows:
  • step S35 includes: according to the data tested by the manufacturer, correct the mechanical zero position of the steam inlet valve and the oil motor valve stem when installed on site, and calculate in real time according to the verified mechanical zero position The difference between the electrical zero position and the mechanical zero position of the steam inlet valve and oil motor valve stem, and verify the electrical zero position. Therefore, the calculation formula of the oil motor spring force Fm after calibration is:
  • F' m is the spring force after electrical zero calibration
  • ⁇ F m is the electrical zero calibration value
  • step S36 includes: the coordinate point b of the oil pressure-valve position characteristic curve, which is the oil motor driving force of the inlet valve overcomes the oil motor static friction force, valve stem gravity and spring force The minimum start-up oil pressure of the inlet valve of the electrical zero calibration value, so the calculation formula for the static friction force F of the oil motor is:
  • ⁇ F f is the calibration value of the dynamic friction force. According to the test data of the dynamic and static friction force of the diesel engine, the change curve of the friction force of the diesel engine with the oil pressure of the diesel engine can be drawn, as shown in Figure 4.
  • the test data of each steam inlet valve oil motor is stored in the database of the steam turbine valve debugging and fault diagnosis device, and the corresponding oil motor will be generated in the database according to the number of the steam inlet valve oil motor Oil pressure-group force-valve position characteristic curve, when measuring the oil motor resistance, the corresponding curves and data will be called for query, comparison and verification, and new data and curves will be generated.
  • step S4 includes: after the steam inlet valve (main steam valve and regulating valve) of the steam turbine is supplied with steam, each component of the valve is heated and deformed, and the valve opening/closing time, performance parameters such as resistance. If the resistance of the valve motor is tested while the steam turbine is running, the steam will also have an effect on the resistance of the valve motor. It is necessary to measure after the steam is passed, and obtain the data after the valve is passed the steam.
  • the steam force Fs in formula (3) produces different effects when the valve is opened and closed. When the valve is opened, Fs is the driving force, and the resistance is calculated using formula (4).
  • the valve closing Fs is the resistance, and the calculation of the resistance adopts the formula (5).
  • the oil motor of the valve after the steam is turned on is measured according to the steps of measuring the resistance of the oil motor before the steam inlet valve of the steam turbine is turned on, and the data and curves of the oil motor of the steam turbine valve are obtained after the steam is turned on , verify the data and curves before steaming, and store them in the database of the steam turbine valve debugging and fault diagnosis device.
  • step S5 includes: when the steam turbine valve of the in-service unit is jammed or the spring elastic performance needs to be evaluated, analyzing and diagnosing the resistance of the valve and the oil motor can provide an important evaluation basis .
  • the data sampling time of the steam turbine valve debugging and fault diagnosis device can reach the millisecond level, so the accuracy of analysis and diagnosis is relatively high.
  • the speed curve is used for qualitative analysis and diagnosis during the opening and closing of the valve.
  • the speed-valve position curve analysis and diagnosis algorithm module of the steam turbine valve debugging and fault diagnosis device By calling the speed-valve position curve analysis and diagnosis algorithm module of the steam turbine valve debugging and fault diagnosis device, the opening and closing of the steam inlet valve can be realized. Qualitative analysis and diagnosis of the whole process.
  • Quantitative analysis During the valve opening process, the oil pressure-valve position-time curve analysis and diagnosis algorithm module of the steam turbine valve debugging and fault diagnosis device is called to perform quantitative analysis and diagnosis. During the valve closing process, the spring force-speed-valve position curve analysis and diagnosis algorithm module of the steam turbine valve debugging and fault diagnosis device is called to perform quantitative analysis and diagnosis. In this way, the on-line quantitative analysis and diagnosis of oil motor resistance can be realized.
  • step S5 includes: calling the speed-valve position curve analysis and diagnosis algorithm module for qualitative analysis and diagnosis when performing online intelligent analysis and diagnosis of the steam inlet valve. It is necessary to carry out the switching time performance test of the valve to be measured, obtain the corresponding data and curves, and input them into the fault diagnosis system of the steam turbine valve debugging and fault diagnosis device, and calculate the speed-valve position curve analysis and diagnosis algorithm module in the diagnosis system. Valve position characteristic curve, the algorithm will extract the speed-valve position characteristic curve and data of the valve reference in the fault diagnosis system, and compare and analyze the measurement data of the valve to be determined. Through this analysis algorithm, it is possible to qualitatively judge whether the resistance of the intake valve and the oil motor is abnormal.
  • step S5 includes: before performing analysis and diagnosis, it is necessary to perform an oil pressure-valve position performance test on the valve to be measured and the oil motor, obtain corresponding data and curves, and input the steam turbine valve
  • the fault diagnosis system of the debugging and fault diagnosis device conducts quantitative analysis through the oil pressure-valve position-time curve characteristic analysis and diagnosis algorithm in the diagnosis system, and the algorithm will extract the reference oil pressure-valve position of the valve in the fault diagnosis system - Time characteristic curve and data, comparative analysis of the measurement data of the valve to be determined.
  • the driving force and resistance of the steam inlet valve and the oil motor during the valve opening process can be quantitatively analyzed, so as to diagnose whether the resistance of the steam inlet valve is abnormal.
  • step S5 includes: performing an oil pressure-valve position performance test on the valve to be measured and the oil motor before performing analysis and diagnosis, obtaining corresponding data and curves, and inputting fault diagnosis
  • the system through the spring force-velocity curve analysis and diagnostic algorithm in the diagnostic system, performs quantitative calculations, calculates the spring force and instantaneous velocity during the valve closing process, and draws the oil pressure-valve position-time curve and spring force-speed -Valve position curve, the algorithm will extract the reference oil pressure-valve position-time characteristic curve and spring force-speed-valve position curve of the valve in the fault diagnosis system, as well as the corresponding data, and quantitatively compare and analyze the valve to be tested secondary measurement data.
  • the driving force and resistance of the inlet valve and the oil motor during the valve closing process can be quantitatively analyzed, so as to diagnose whether the resistance of the inlet valve is abnormal.
  • the computer-readable storage medium of this embodiment stores a computer program, and the computer program is suitable for being loaded by a processor to execute the steps of the method for diagnosing the performance of a steam turbine control valve in a nuclear power plant as in the above-mentioned embodiment.
  • the computer in this embodiment includes a memory and a processor, and a computer program is stored in the memory, and the processor executes the method for diagnosing the performance of a steam turbine control valve in a nuclear power plant as in the above embodiment by calling the computer program stored in the memory step.
  • the steam turbine inlet valve intelligent diagnosis database establishment method has established a measurement database, an installation database and a performance test database (including before and after the steam inlet valve is passed through the steam inlet valve) in the factory, which can be fast, Accurately analyze and diagnose the resistance of intake valve and oil motor to provide historical data.
  • the method provided in this embodiment establishes a measuring system for the spring force and resistance of the steam inlet valve of the steam turbine and the oil motor.
  • the control signal of the steam inlet valve is connected to the specially developed steam turbine valve debugging and fault diagnosis device, which can quickly provide on-site measurement for the analysis and diagnosis of the spring force and resistance of the steam inlet valve and the oil motor. system, and set up the fault diagnosis system measurement system database according to the measurement system.
  • the intelligent diagnosis parameter test method provided in this embodiment establishes a special performance test system for the intelligent diagnosis parameters of the steam turbine intake valve and oil motor.
  • the quantitative measurement method provided in this embodiment provides a method for obtaining the spring force and resistance values of the steam inlet valve and oil motor through tests on site.
  • the online intelligent diagnosis method of the steam inlet valve establishes a method combining qualitative analysis and quantitative analysis: the speed curve algorithm is used for qualitative analysis and diagnosis during the opening and closing strokes of the valve.
  • the oil pressure-valve position-time curve analysis and diagnosis algorithm are used for quantitative analysis and diagnosis; during the valve closing process, the spring force-speed-valve position curve analysis and diagnosis algorithm is used for quantitative analysis and diagnosis .
  • each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other.
  • the description is relatively simple, and for the related information, please refer to the description of the method part.
  • RAM random access memory
  • ROM read-only memory
  • EEPROM electrically programmable ROM
  • EEPROM electrically erasable programmable ROM
  • registers hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

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Abstract

本发明涉及一种核电站汽轮机控制阀门性能诊断方法、存储介质及计算机。该方法包括：S1、建立油动机阻力厂家数据库和油动机阻力安装数据库；S2、建立智能诊断系统对进汽阀进行阻力和性能测定；S3、在进汽阀通蒸汽前进行进汽阀阻力测定；S4、在进汽阀通蒸汽后进行进汽阀阻力测定；S5、智能诊断系统根据所得测试数据对进汽阀进行定性分析与定量分析相结合的智能诊断。本发明为汽轮机主汽阀和调节阀快关时间超标、卡涩等故障诊断提供在线的故障诊断依据，为油动机阻力测定提供在线的测定方法，可以缩短检修时间，减少机组误停次数，提高机组的安全性和经济性。

Description

核电站汽轮机控制阀门性能诊断方法、存储介质及计算机 技术领域
本发明涉及核电站汽轮机领域，更具体地说，涉及一种核电站汽轮机控制阀门性能诊断方法、存储介质及计算机。
背景技术
汽轮机进汽阀阻力是汽轮机阀门的重要性能指标之一，它将直接影响汽轮机主汽阀和调节阀的开关时间。汽轮机主汽阀和调节阀的快关时间直接关系着汽轮机的安全，是汽轮机安全保障的重要指标之一，核电厂和火电厂均对汽轮机主汽阀和调节阀的快关时间有着严格的标准。因此，如何在汽轮机进汽阀已经安装运行的时候进行阻力的测定和分析诊断，是分析运行机组汽轮机油动机驱动能力和快关能力的重要指标，也是分析主汽阀和调节阀快关时间的重要指标。
汽轮机进汽阀的开启驱动力来自进入油动机的高压液压油压力，关断驱动力来自油动机内的弹簧力，阻力主要来自油动机内部的摩擦力和运行时的蒸汽关断阻力。弹簧的弹力可以根据弹簧的参数和出厂时厂家的测试数据获取，油动机内部的摩擦力与油动机内活塞和所使用的油的类型有关系，随着运行时间的推移，会产生变化。蒸汽关断阻力没有在线测量的工具和测点，需要通过试验的方法间接的获取。
油动机阻力一般由油动机厂家在厂内进行测试，在出厂验收报告中提供相应的测试数据。测试完成后油动机与阀门本体进行组装，成套发送至核电厂或火电厂。油动机抵达电厂后，一般不具备进行油动机阻力测试的条件。当现场汽轮机主汽阀或调节阀出现驱动力不足或者卡涩现象时，如果怀疑油动机活塞或系统设计阻力过大，需要将油动机返回制造厂家进行测试。测试时需要将油动机解体和重新组装，并且测试用的液压油需要长时间的过滤才 能达到要求。如果核电厂的汽轮机主汽阀或调节阀油动机由国外进口的，耗费的时间就更长了。现有的技术没有专门针对油动机阻力的在线测试技术。油动机阻力的测定需要将油动机返回厂家，由厂家采用专门开发的测试装置进行试验测量。油动机阻力的测定需要对油动机解体，采用专门的装置和仪器来测试油动机油缸活塞等的阻力。
发明内容
本发明要解决的技术问题在于，针对现有技术的上述缺陷，提供一种核电站汽轮机控制阀门性能诊断方法、存储介质及计算机。
本发明解决其技术问题所采用的技术方案是：构造一种核电站汽轮机控制阀门性能诊断方法，其特征在于，包括下述步骤：
S1、建立油动机阻力厂家数据库和油动机阻力安装数据库；
S2、建立智能诊断系统对进汽阀进行阻力和性能测定；
S3、在进汽阀通蒸汽前进行进汽阀阻力测定；
S4、在进汽阀通蒸汽后进行进汽阀阻力测定；
S5、所述智能诊断系统根据所得测试数据对进汽阀进行定性分析与定量分析相结合的智能诊断。
另外，本发明还提供一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序适于处理器进行加载，以执行如上述的核电站汽轮机控制阀门性能诊断方法的步骤。
另外，本发明还提供一种计算机，包括存储器和处理器，所述存储器中存储有计算机程序，所述处理器通过调用所述存储器中存储的所述计算机程序，执行如上述的核电站汽轮机控制阀门性能诊断方法的步骤。
实施本发明的一种核电站汽轮机控制阀门性能诊断方法、存储介质及计算机，具有以下有益效果：本发明为汽轮机主汽阀和调节阀快关时间超标、卡涩等故障诊断提供在线的故障诊断依据，为油动机阻力测定提供在线的测定方法，可以缩短检修时间，减少机组误停次数，提高机组的安全性和经济性。
附图说明
下面将结合附图及实施例对本发明作进一步说明，附图中：
图1是本发明实施例提供的核电站汽轮机控制阀门性能诊断方法的流程图；
图2是本发明实施例提供的核电站汽轮机控制阀门性能诊断方法的流程图；
图3是本发明实施例提供的汽轮机油动机的油压-阀位特性曲线图；
图4是本发明实施例提供的油动机摩擦力随油压而变化的摩擦力-阀位-油压特性曲线图。
具体实施方式
为了对本发明的技术特征、目的和效果有更加清楚的理解，现对照附图详细说明本发明的具体实施方式。
参考图1、图2、图3和图4对本发明进行说明。
在一优选实施例中，参考图1，本实施例的核电站汽轮机控制阀门性能诊断方法包括下述步骤：
S1、建立油动机阻力厂家数据库和油动机阻力安装数据库。
S2、建立智能诊断系统对进汽阀进行阻力和性能测定。
S3、在进汽阀通蒸汽前进行进汽阀阻力测定。
S4、在进汽阀通蒸汽后进行进汽阀阻力测定。
S5、智能诊断系统根据所得测试数据对进汽阀进行定性分析与定量分析相结合的智能诊断。
本实施例为汽轮机主汽阀和调节阀快关时间超标、卡涩等故障诊断提供在线的故障诊断依据，为油动机阻力测定提供在线的测定方法，可以缩短检修时间，减少机组误停次数，提高机组的安全性和经济性。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S1中建立 油动机阻力厂家数据库包括：汽轮机主汽阀和调节阀的阀门本体和油动机一般是由厂家在厂内组装测试好，成套发送至现场，现场成套安装。根据油动机厂家提供的测试数据，按汽轮机主汽阀或调节阀的油动机编号建立相应的数据库，输入汽轮机阀门调试及故障诊断装置的故障诊断系统中。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，油动机阻力厂家数据库包括下述数据：
油动机类型、编号、活塞面积、摩擦力。
油动机阀杆总长度、全关位置阀杆位置、全开位置阀杆位置、阀门总行程。
油动机指令输出信号类型、量程、全开位置数值、全关位置数值。
油动机开启和关闭时间、延迟时间和总行程时间。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S1中建立油动机阻力安装数据库包括：按汽轮机主汽阀或调节阀的油动机编号建立相应的数据库，输入汽轮机阀门调试及故障诊断装置的故障诊断系统中，油动机阻力安装数据库包括以下数据：
主汽阀或调节阀全关位置的机械零位时的油动机阀杆位置。
主汽阀或调节阀全开位置的油动机阀杆位置。
主汽阀或调节阀的油动机阀杆行程长度。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S2中建立智能诊断系统包括：
S211、将油压变送器安装至油动机油缸高压液压油入口的快速接口处。
S212、建立汽轮机阀门调试及故障诊断装置接口。
S213、标定油动机控制零位时的油动机阀杆位置，全开位置、全关位置的油动机阀杆位置，以及对应位置的电流电压值，按汽轮机主汽阀或调节阀的油动机编号建立相应的数据库。
S214、对应角行程的阀门，标定油动机控制零位时的油动机阀杆位置和汽轮机阀门角行程的角度，全开位置、全关位置的油动机阀杆位置和汽轮机阀门角行程的角度，以及对应位置的电流电压值，按汽轮机主汽阀或调节阀 的油动机编号建立相应的数据库。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S212包括：提供将汽轮机阀门开关指令、反馈、阀位反馈、油压信号接入汽轮机阀门调试及故障诊断装置的接口。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，进行汽轮机进汽阀阻力测定前需要先进行阀门性能试验，采用专门开发的汽轮机阀门调试及故障诊断装置，接入进汽阀的试验电磁阀指令、阀位、油压等信号，根据主汽阀和调节阀的不同特点进行相应的试验。步骤S2中对进汽阀进行性能测定包括：
S221、阀门正常开启时间测试。
S222、阀门正常关闭时间测试。
S223、阀门快关时间测试。
S224、油压-阀位性能试验。
S225、阶跃响应性能试验。
S226、速度曲线。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S221包括：进行阀门正常开启时间测试时，从测试曲线中记录阀门的正常开启时间，并且记录阀门全关位置和全开位置的阀位变送器的电流值。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S222包括：进行阀门正常关闭时间测试时，从测试曲线中记录阀门的正常关闭时间，并且记录阀门全关位置和全开位置的阀位变送器的电流值。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S223包括：进行阀门快关时间测试时，从测试曲线中记录阀门的快关时间，并且记录阀门全关位置和全开位置的阀位变送器的电流值。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S224包括：进行汽轮机主汽阀和调节阀油压-阀位性能试验，按阀门编号记录每个阀门的阀门开启时的阀位值、阀位变送器的输出电流和油动机的油压值。试验时阀门以正常开启和关闭方式进行，对比阀门正常开启时间测试和正常关闭时间 测试的数据，确认阀门开关灵活无卡涩，数值稳定。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S225包括：对调节阀动态调节性能进行测试的试验，试验验证指令和阀位的阶跃响应性能试验，按阀门编号记录每个阀门的阀位值、指令值、和油动机的油压值，试验时确认阀门开关灵活无卡涩，数值稳定。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S226包括：通过汽轮机阀门调试及故障诊断装置诊断系统中的速度算法，计算出进汽阀油动机开关过程的速度并绘制出曲线，用于分析和评估阻力。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，性能试验前需要先对进汽阀的阀位和指令进行校验，获取各个阀门的以下参数：阀位电气零位的电流值和阀杆长度，以及阀门全开位置的电流和阀杆长度。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S3包括：
S31、油压-阀位性能试验。
S32、油动机油压驱动力的计算。
S33、油动机总作用力计算。
S34、油动机阻力计算。
S35、油动机弹簧力Fm的校验计算。
S36、油动机摩擦力Ff的校验计算。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，参考图3，步骤S31包括：获取汽轮机油动机的油压-阀位特性曲线，油压-阀位特性曲线中：阀门关闭过程中到达全关位置时对应的油压对应坐标点a，阀门刚开启时对应的油压对应坐标点b，阀门开启过程中阀门开度为全开时对应的油压对应坐标点c，阀门关闭时刚关闭时对应的油压对应坐标点d。通过油压-阀位性能试验，可以获取a、b、c、d 4个状态的参数，包括：
1)油压。
2)阀位。
3)电流(或电压)。
4)活塞阀杆相对机械零位的距离。
通过油压-阀位性能试验，可以测定以下数据：
1)阀门最小开启油压，通过试验曲线的坐标b点测定。
2)阀门开启状态全开位置油压，通过试验曲线的坐标c点测定。
3)阀门最小关闭油压，通过试验曲线的坐标d点测定。
4)阀门关闭状态全关位置油压，通过试验曲线的坐标a点测定。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S32包括：
进汽阀开启过程中油动机驱动力来自高压液压油压力，计算如下：
F d＝P*S        (1)
其中：F d为油动机驱动力，P为油动机压力，S为油动机活塞面积。
进汽阀关闭过程中油动机驱动力来自油动机活塞上的弹簧的弹力，计算如下：
F d＝-KX         (2)
其中：K为弹性系数，X为弹簧形变量。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S33包括：
F＝k m*F m+F s-F f-F g+k d*F d        (3)
其中：F为油动机总作用力，当阀门匀速动作时为0。F m为油动机弹簧力。k m为油动机弹簧力系数，开阀过程为-1，关阀过程为1。F s为蒸汽作用力，汽轮机进汽阀通蒸汽前该数值为0。F f为油动机摩擦力。F g为阀杆重力。F d为油动机油压驱动力。k d为油动机油压驱动力系数，开阀过程为1，关阀过程为-1。在进行试验过程中F保持为零。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S34包括：
在阀门开启时的阻力计算如下：
F r＝-F m-F f-F g         (4)
Fr为油动机阻力合力。
在阀门关闭时的阻力计算如下：
F r＝-F d-F s-F f      (5)。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S35包括：根据厂家测试的数据，校正现场安装时进汽阀和油动机阀杆的机械零位，根 据校验的机械零位实时计算进汽阀和油动机阀杆的电气零位与机械零位的差距，校验电气零位。因此校验后的油动机弹簧力Fm计算公式为：
F' m＝-(ΔF m+F m)          (6)
其中：F' m为电气零位校验后的弹簧力，ΔF m为电气零位校验值。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S36包括：油压-阀位特性曲线的坐标b点，为进汽阀油动机驱动力克服油动机静摩擦力、阀杆重力和弹簧力电气零位校验值的进汽阀最低启动油压力，因此油动机静摩擦力F f静的计算公式为：
F f静＝F d-F g-ΔF m         (7)
阀门开启后油动机油压驱动力克服的是滑动摩擦力、阀杆重力和弹簧随弹簧形变的弹力，因此油动机动摩擦力F f动的计算公式为：
F f动＝F d-F g-F' m+ΔF f        (8)
其中：ΔF f为动摩擦力的校验值，根据油动机动、静摩擦力的试验数据，可以绘制出油动机摩擦力随油动机油压的变化曲线，如图4所示。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，在计算油动机阻力F r时需要使用校验后的公式(6)、公式(7)和公式(8)进行计算。按照汽轮机进汽阀和油动机编号，对每个进汽阀油动机的测试数据存入汽轮机阀门调试及故障诊断装置的数据库中，数据库中将按照进汽阀油动机的编号生成相应的油动机油压-组力-阀位特性曲线，进行油动机阻力测定时将调用相应的曲线和数据进行查询、比对和校验，生成新的数据和曲线。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S4包括：汽轮机进汽阀(主汽阀和调节阀)通蒸汽后，阀门各部件受热产生形变，将对阀门的开/关时间、阻力等性能参数产生影响。如果在汽轮机运行时测试阀门油动机的阻力，蒸汽也将对阀门油动机的阻力产生影响。需要通蒸汽后进行测定，获取阀门通蒸汽后的数据。公式(3)中的蒸汽作用力Fs在阀门开启和关闭时产生不同的作用，阀门开启时Fs为驱动力，阻力的计算采用公式(4)。阀门关闭Fs为阻力，阻力的计算采用公式(5)。
在汽轮机进汽阀通蒸汽后汽轮机停机过程中，按照汽轮机进汽阀通蒸汽 前油动机阻力测定的步骤对通蒸汽后的阀门油动机进行测定，获取汽轮机阀门油动机通蒸汽后的数据和曲线，校验通蒸汽前的数据和曲线，存入汽轮机阀门调试及故障诊断装置的数据库中。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S5包括：当在役机组汽轮机阀门出现卡涩或需要评价弹簧弹力性能时，分析和诊断阀门和油动机的阻力可以提供重要的评价依据。汽轮机阀门调试及故障诊断装置的数据采样时间可以达到毫秒级，因此，分析和诊断的精度比较高。
进行阀门分析和诊断时，采用定性分析和定量分析相结合的方法，对进汽阀进行在线智能分析和诊断：
定性分析：在阀门的开启和关闭行程中采用速度曲线进行定性分析和诊断，通过调用汽轮机阀门调试及故障诊断装置的速度-阀位曲线分析与诊断算法模块，可以实现对进汽阀开启和关闭全过程的定性分析和诊断。
定量分析：在阀门开启过程中，调用汽轮机阀门调试及故障诊断装置的油压-阀位-时间曲线分析与诊断算法模块，进行定量的分析和诊断。在阀门关闭过程中，调用汽轮机阀门调试及故障诊断装置的采用弹簧力-速度-阀位曲线分析与诊断算法模块，进行定量的分析和诊断。从而实现对油动机阻力的在线定量分析和诊断。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S5包括：对进汽阀进行在线智能分析和诊断时，调用速度-阀位曲线分析与诊断算法模块进行定性的分析和诊断。需要对待测定的阀门进行开关时间性能试验，获取相应的数据和曲线，输入汽轮机阀门调试及故障诊断装置的故障诊断系统，通过诊断系统中的速度-阀位曲线分析与诊断算法模块计算出速度-阀位特性曲线，该算法会提取故障诊断系统中该阀门基准的速度-阀位特性曲线和数据，对比分析待测定阀门的此次测量数据。通过该分析算法可以定性地判断进汽阀和油动机阻力是否异常。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S5包括：进行分析和诊断前需要对待测定的阀门和油动机进行油压-阀位性能试验，获取相应的数据和曲线，输入汽轮机阀门调试及故障诊断装置的故障诊断系统， 通过诊断系统中的油压-阀位-时间曲线特性分析和诊断算法进行定量地分析，该算法会提取故障诊断系统中该阀门的基准油压-阀位-时间特性曲线和数据，对比分析待测定阀门的此次测量数据。通过该分析算法可以定量地分析进汽阀和油动机在阀门开启过程中的驱动力和阻力，从而诊断进汽阀的阻力是否异常。
在一些实施例的核电站汽轮机控制阀门性能诊断方法中，步骤S5包括：进行分析和诊断前需要对待测定的阀门和油动机进行油压-阀位性能试验，获取相应的数据和曲线，输入故障诊断系统，通过诊断系统中的弹簧力-速度曲线分析和诊断算法进行定量地计算，计算出阀门关闭过程中的弹簧力和瞬时速度，并绘制出油压-阀位-时间曲线和弹簧力-速度-阀位曲线，该算法会提取故障诊断系统中该阀门的基准油压-阀位-时间特性曲线和弹簧力-速度-阀位曲线，以及相应的数据，定量地对比分析待测定阀门的此次测量数据。通过该分析算法可以定量地分析进汽阀和油动机在阀门关闭过程中的驱动力和阻力，从而诊断进汽阀的阻力是否异常。
在一优选实施例中，本实施例的计算机可读存储介质存储有计算机程序，计算机程序适于处理器进行加载，以执行如上述实施例的核电站汽轮机控制阀门性能诊断方法的步骤。
在一优选实施例中，本实施例的计算机包括存储器和处理器，存储器中存储有计算机程序，处理器通过调用存储器中存储的计算机程序，执行如上述实施例的核电站汽轮机控制阀门性能诊断方法的步骤。
上述实施例的技术方案带来的技术效果：
本实施例提供的汽轮机进汽阀智能诊断数据库建立方法，建立了包括进汽阀厂内测定数据库、安装数据库和性能试验数据库(包括进汽阀通蒸汽前和通蒸汽后)，可以为快速、准确地分析和诊断进汽阀与油动机的阻力提供历史数据。
本实施例提供的方法，建立了汽轮机进汽阀与油动机弹簧力和阻力测定系统。通过安装专用的油压变送器，将进汽阀的控制信号接入专门开发的汽轮机阀门调试及故障诊断装置，可以为分析和诊断进汽阀与油动机的弹簧力 和阻力快速提供现场测定系统，并根据测定系统设置故障诊断系统测定系统数据库。
本实施例提供的智能诊断参数试验方法，建立了汽轮机进汽阀和油动机智能诊断参数的专用性能试验系统。采用专门开发的阀门调试装置对汽轮机主汽阀和调节阀分别进行通蒸汽前和通蒸汽后的性能试验，按主汽阀和调节阀的编号建立相应的数据库，为智能诊断进汽阀提供数据和曲线。
本实施例提供的定量测定方法，提供了一种在现场通过试验获取进汽阀和油动机的弹簧力和阻力值的测定方法。
本实施例提供的进汽阀在线智能诊断的方法，建立了一种采用定性分析和定量分析相结合的方法：在阀门的开启和关闭行程中采用速度曲线算法进行定性分析和诊断。在阀门开启过程中采用油压-阀位-时间曲线分析与诊断算法进行定量的分析和诊断，在阀门关闭过程中，采用弹簧力-速度-阀位曲线分析与诊断算法进行定量的分析和诊断。
本说明书中各个实施例采用递进的方式描述，每个实施例重点说明的都是与其他实施例的不同之处，各个实施例之间相同相似部分互相参见即可。对于实施例公开的装置而言，由于其与实施例公开的方法相对应，所以描述的比较简单，相关之处参见方法部分说明即可。
专业人员还可以进一步意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、计算机软件或者二者的结合来实现，为了清楚地说明硬件和软件的可互换性，在上述说明中已经按照功能一般性地描述了各示例的组成及步骤。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。
结合本文中所公开的实施例描述的方法或算法的步骤可以直接用硬件、处理器执行的软件模块，或者二者的结合来实施。软件模块可以置于随机存储器(RAM)、内存、只读存储器(ROM)、电可编程ROM、电可擦除可编程ROM、寄存器、硬盘、可移动磁盘、CD-ROM、或技术领域内所公知的任意其它形式 的存储介质中。
以上实施例只为说明本发明的技术构思及特点，其目的在于让熟悉此项技术的人士能够了解本发明的内容并据此实施，并不能限制本发明的保护范围。凡跟本发明权利要求范围所做的均等变化与修饰，均应属于本发明权利要求的涵盖范围。

Claims (29)

  1. 一种核电站汽轮机控制阀门性能诊断方法，其特征在于，包括下述步骤：
    S1、建立油动机阻力厂家数据库和油动机阻力安装数据库；
    S2、建立智能诊断系统对进汽阀进行阻力和性能测定；
    S3、在进汽阀通蒸汽前进行进汽阀阻力测定；
    S4、在进汽阀通蒸汽后进行进汽阀阻力测定；
    S5、所述智能诊断系统根据所得测试数据对进汽阀进行定性分析与定量分析相结合的智能诊断。
  2. 根据权利要求1所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S1中建立油动机阻力厂家数据库包括：根据油动机厂家提供的测试数据，按汽轮机主汽阀或调节阀的油动机编号建立相应的数据库，输入汽轮机阀门调试及故障诊断装置的故障诊断系统中。
  3. 根据权利要求2所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述油动机阻力厂家数据库包括下述数据：
    油动机类型、编号、活塞面积、摩擦力；
    油动机阀杆总长度、全关位置阀杆位置、全开位置阀杆位置、阀门总行程；
    油动机指令输出信号类型、量程、全开位置数值、全关位置数值；
    油动机开启和关闭时间、延迟时间和总行程时间。
  4. 根据权利要求1所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S1中建立油动机阻力安装数据库包括：按汽轮机主汽阀或调节阀的油动机编号建立相应的数据库，输入汽轮机阀门调试及故障诊断装置的故障诊断系统中，所述油动机阻力安装数据库包括以下数据：
    主汽阀或调节阀全关位置的机械零位时的油动机阀杆位置；
    主汽阀或调节阀全开位置的油动机阀杆位置；
    主汽阀或调节阀的油动机阀杆行程长度。
  5. 根据权利要求1所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S2中建立智能诊断系统包括：
    S211、将油压变送器安装至油动机油缸高压液压油入口的快速接口处；
    S212、建立汽轮机阀门调试及故障诊断装置接口；
    S213、标定油动机控制零位时的油动机阀杆位置，全开位置、全关位置的油动机阀杆位置，以及对应位置的电流电压值，按汽轮机主汽阀或调节阀的油动机编号建立相应的数据库；
    S214、对应角行程的阀门，标定油动机控制零位时的油动机阀杆位置和汽轮机阀门角行程的角度，全开位置、全关位置的油动机阀杆位置和汽轮机阀门角行程的角度，以及对应位置的电流电压值，按汽轮机主汽阀或调节阀的油动机编号建立相应的数据库。
  6. 根据权利要求5所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S212包括：提供将汽轮机阀门开关指令、反馈、阀位反馈、油压信号接入汽轮机阀门调试及故障诊断装置的接口。
  7. 根据权利要求1所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S2中对进汽阀进行性能测定包括：
    S221、阀门正常开启时间测试；
    S222、阀门正常关闭时间测试；
    S223、阀门快关时间测试；
    S224、油压-阀位性能试验；
    S225、阶跃响应性能试验；
    S226、速度曲线。
  8. 根据权利要求7所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S221包括：进行阀门正常开启时间测试时，从测试曲线中记录阀门的正常开启时间，并且记录阀门全关位置和全开位置的阀位变送器的电流值。
  9. 根据权利要求7所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S222包括：进行阀门正常关闭时间测试时，从测试曲线中记 录阀门的正常关闭时间，并且记录阀门全关位置和全开位置的阀位变送器的电流值。
  10. 根据权利要求7所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S223包括：进行阀门快关时间测试时，从测试曲线中记录阀门的快关时间，并且记录阀门全关位置和全开位置的阀位变送器的电流值。
  11. 根据权利要求7所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S224包括：进行汽轮机主汽阀和调节阀油压-阀位性能试验，按阀门编号记录每个阀门的阀门开启时的阀位值、阀位变送器的输出电流和油动机的油压值；试验时阀门以正常开启和关闭方式进行，对比阀门正常开启时间测试和正常关闭时间测试的数据，确认阀门开关灵活无卡涩，数值稳定。
  12. 根据权利要求7所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S225包括：对调节阀动态调节性能进行测试的试验，试验验证指令和阀位的阶跃响应性能试验，按阀门编号记录每个阀门的阀位值、指令值、和油动机的油压值，试验时确认阀门开关灵活无卡涩，数值稳定。
  13. 根据权利要求7所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S226包括：通过汽轮机阀门调试及故障诊断装置诊断系统中的速度算法，计算出进汽阀油动机开关过程的速度并绘制出曲线，用于分析和评估阻力。
  14. 根据权利要求7所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，性能试验前需要先对进汽阀的阀位和指令进行校验，获取各个阀门的以下参数：阀位电气零位的电流值和阀杆长度，以及阀门全开位置的电流和阀杆长度。
  15. 根据权利要求1所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S3包括：
    S31、油压-阀位性能试验；
    S32、油动机油压驱动力的计算；
    S33、油动机总作用力计算；
    S34、油动机阻力计算；
    S35、油动机弹簧力Fm的校验计算；
    S36、油动机摩擦力Ff的校验计算。
  16. 根据权利要求15所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S31包括：获取汽轮机油动机的油压-阀位特性曲线，油压-阀位特性曲线中：阀门关闭过程中到达全关位置时对应的油压对应坐标点a，阀门刚开启时对应的油压对应坐标点b，阀门开启过程中阀门开度为全开时对应的油压对应坐标点c，阀门关闭时刚关闭时对应的油压对应坐标点d。
  17. 根据权利要求16所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S32包括：
    进汽阀开启过程中油动机驱动力来自高压液压油压力，计算如下：
    F d＝P*S  (1)
    其中：F d为油动机驱动力，P为油动机压力，S为油动机活塞面积；
    进汽阀关闭过程中油动机驱动力来自油动机活塞上的弹簧的弹力，计算如下：
    F d＝-KX  (2)
    其中：K为弹性系数，X为弹簧形变量。
  18. 根据权利要求17所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S33包括：
    F＝k m*F m+F s-F f-F g+k d*F d  (3)
    其中：F为油动机总作用力，当阀门匀速动作时为0；F m为油动机弹簧力；k m为油动机弹簧力系数，开阀过程为-1，关阀过程为1；F s为蒸汽作用力，汽轮机进汽阀通蒸汽前该数值为0；F f为油动机摩擦力；F g为阀杆重力；F d为油动机油压驱动力；k d为油动机油压驱动力系数，开阀过程为1，关阀过程为-1；在进行试验过程中F保持为零。
  19. 根据权利要求18所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S34包括：
    在阀门开启时的阻力计算如下：
    F r＝-F m-F f-F g  (4)
    Fr为油动机阻力合力；
    在阀门关闭时的阻力计算如下：
    F r＝-F d-F s-F f  (5)。
  20. 根据权利要求19所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S35包括：根据厂家测试的数据，校正现场安装时进汽阀和油动机阀杆的机械零位，根据校验的机械零位实时计算进汽阀和油动机阀杆的电气零位与机械零位的差距，校验电气零位；因此校验后的油动机弹簧力Fm计算公式为：
    F' m＝-(ΔF m+F m)  (6)
    其中：F' m为电气零位校验后的弹簧力，ΔF m为电气零位校验值。
  21. 根据权利要求20所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S36包括：油压-阀位特性曲线的坐标b点，为进汽阀油动机驱动力克服油动机静摩擦力、阀杆重力和弹簧力电气零位校验值的进汽阀最低启动油压力，因此油动机静摩擦力F f静的计算公式为：
    F f静＝F d-F g-ΔF m  (7)
    阀门开启后油动机油压驱动力克服的是滑动摩擦力、阀杆重力和弹簧随弹簧形变的弹力，因此油动机动摩擦力F f动的计算公式为：
    F f动＝F d-F g-F' m+ΔF f  (8)
    其中：ΔF f为动摩擦力的校验值，根据油动机动、静摩擦力的试验数据，可以绘制出油动机摩擦力随油动机油压的变化曲线。
  22. 根据权利要求21所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，在计算油动机阻力F r时需要使用校验后的公式(6)、公式(7)和公式(8)进行计算；按照汽轮机进汽阀和油动机编号，对每个进汽阀油动机的测试数据存入汽轮机阀门调试及故障诊断装置的数据库中，数据库中将按照进汽阀油动机的编号生成相应的油动机油压-组力-阀位特性曲线，进行油动机阻力测定时将调用相应的曲线和数据进行查询、比对和校验，生成新的数据和曲线。
  23. 根据权利要求21所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S4包括：公式(3)中的蒸汽作用力F s在阀门开启和关闭时产生不同的作用，阀门开启时F s为驱动力，阻力的计算采用公式(4)；阀门关闭F s为阻力，阻力的计算采用公式(5)；
    在汽轮机进汽阀通蒸汽后汽轮机停机过程中，按照汽轮机进汽阀通蒸汽前油动机阻力测定的步骤对通蒸汽后的阀门油动机进行测定，获取汽轮机阀门油动机通蒸汽后的数据和曲线，校验通蒸汽前的数据和曲线，存入汽轮机阀门调试及故障诊断装置的数据库中。
  24. 根据权利要求23所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S5包括：进行阀门分析和诊断时，采用定性分析和定量分析相结合的方法，对进汽阀进行在线智能分析和诊断：
    定性分析：在阀门的开启和关闭行程中采用速度曲线进行定性分析和诊断，通过调用汽轮机阀门调试及故障诊断装置的速度-阀位曲线分析与诊断算法模块，可以实现对进汽阀开启和关闭全过程的定性分析和诊断；
    定量分析：在阀门开启过程中，调用汽轮机阀门调试及故障诊断装置的油压-阀位-时间曲线分析与诊断算法模块，进行定量的分析和诊断；在阀门关闭过程中，调用汽轮机阀门调试及故障诊断装置的采用弹簧力-速度-阀位曲线分析与诊断算法模块，进行定量的分析和诊断；从而实现对油动机阻力的在线定量分析和诊断。
  25. 根据权利要求23所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S5包括：对进汽阀进行在线智能分析和诊断时，调用速度-阀位曲线分析与诊断算法模块进行定性的分析和诊断；需要对待测定的阀门进行开关时间性能试验，获取相应的数据和曲线，输入汽轮机阀门调试及故障诊断装置的故障诊断系统，通过诊断系统中的速度-阀位曲线分析与诊断算法模块计算出速度-阀位特性曲线，该算法会提取故障诊断系统中该阀门基准的速度-阀位特性曲线和数据，对比分析待测定阀门的此次测量数据；通过该分析算法可以定性地判断进汽阀和油动机阻力是否异常。
  26. 根据权利要求23所述的核电站汽轮机控制阀门性能诊断方法，其特 征在于，所述步骤S5包括：进行分析和诊断前需要对待测定的阀门和油动机进行油压-阀位性能试验，获取相应的数据和曲线，输入汽轮机阀门调试及故障诊断装置的故障诊断系统，通过诊断系统中的油压-阀位-时间曲线特性分析和诊断算法进行定量地分析，该算法会提取故障诊断系统中该阀门的基准油压-阀位-时间特性曲线和数据，对比分析待测定阀门的此次测量数据；通过该分析算法可以定量地分析进汽阀和油动机在阀门开启过程中的驱动力和阻力，从而诊断进汽阀的阻力是否异常。
  27. 根据权利要求23所述的核电站汽轮机控制阀门性能诊断方法，其特征在于，所述步骤S5包括：进行分析和诊断前需要对待测定的阀门和油动机进行油压-阀位性能试验，获取相应的数据和曲线，输入故障诊断系统，通过诊断系统中的弹簧力-速度曲线分析和诊断算法进行定量地计算，计算出阀门关闭过程中的弹簧力和瞬时速度，并绘制出油压-阀位-时间曲线和弹簧力-速度-阀位曲线，该算法会提取故障诊断系统中该阀门的基准油压-阀位-时间特性曲线和弹簧力-速度-阀位曲线，以及相应的数据，定量地对比分析待测定阀门的此次测量数据；通过该分析算法可以定量地分析进汽阀和油动机在阀门关闭过程中的驱动力和阻力，从而诊断进汽阀的阻力是否异常。
  28. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质存储有计算机程序，所述计算机程序适于处理器进行加载，以执行如权利要求1至27任一项所述的核电站汽轮机控制阀门性能诊断方法的步骤。
  29. 一种计算机，其特征在于，包括存储器和处理器，所述存储器中存储有计算机程序，所述处理器通过调用所述存储器中存储的所述计算机程序，执行如权利要求1至27任一项所述的核电站汽轮机控制阀门性能诊断方法的步骤。
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