Nuclear turbine aging management method and whole-life management platform

Abstract

The invention relates to a nuclear turbine aging management method and a whole-life management platform. The method comprises the steps that an aging management table is created, the aging management table comprises a plurality of fields, and each field is used for storing equipment information of a specific type; each field of the table is configured. The method comprises the following steps: acquiring and analyzing a failure mechanism and a failure mode of an important part according to external experience, a maintenance / in-service inspection result, an abnormality / defect / fault and processing condition, operation / periodic test data, performance monitoring data and an equipment state / trend analysis / aging evaluation result, so as to obtain a predictive failure mode of the important part; and filling the data into corresponding fields of the table. According to the invention, efficient utilization of equipment information can be realized, and real-time and high-frequency aging management and state evaluation can be carried out on the equipment, so that predictive maintenance with higher economical efficiency is realized, and the equipment can be timely and accurately analyzed and processed based on a predictive fault mode when the equipment has a fault.

Description

Technical Field

[0001] The present invention relates to the field of nuclear power technology, and in particular to a nuclear power steam turbine aging management method and a full life cycle management platform. Background Art

[0002] Currently, nuclear power plant steam turbine lifecycle management lacks a clear methodology for integrating and applying the results and information generated from turbine management activities, nor are there clear regulations for the principles and methods of aging management. When a nuclear power plant steam turbine fails, the failure mode cannot be identified and addressed promptly and accurately. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a nuclear power steam turbine aging management method and a full life cycle management platform in response to the above-mentioned defects.

[0004] The technical solution adopted by the present invention to solve the technical problem is: a nuclear power steam turbine aging management method, which includes the following steps:

[0005] Creating an aging management table, wherein the aging management table includes a plurality of fields, each field being used to store a specific type of device information;

[0006] Configure each field in the table, including defining the data type, data range, and default value for each field;

[0007] Obtain and analyze the failure mechanism and failure mode of important parts based on external experience, maintenance / in-service inspection results, anomalies / defects / failures and their handling, operation / periodic test data, performance monitoring data, equipment status / trend analysis / aging assessment results to obtain the predictive failure mode of the important parts and fill it in the corresponding fields of the form.

[0008] In some embodiments, before creating the aging management table, the method further includes the following steps:

[0009] Decompose the steam turbine components step by step to form three levels: sub-equipment, components, and parts;

[0010] The importance of steam turbine components is graded, and parts that meet the preset importance conditions are determined as important parts. In addition, components containing important parts are important components, and sub-equipment containing important components is important sub-equipment.

[0011] In some embodiments, the aging management table includes the following fields: the equipment name of the sub-equipment / component / part of the steam turbine, the equipment quantity of the sub-equipment / component / part of the steam turbine, the importance level of the sub-equipment / component / part of the steam turbine, the parts supplier, the parts drawing number, the corresponding spare parts code, the maintenance / in-service inspection cycle, the corresponding inspection method in the inspection procedure, the quality assurance level, whether it is CCM equipment, and the predictive failure mode.

[0012] In some embodiments, the aging management table further includes a first analysis result field, and the method further includes:

[0013] An operating environment analysis is performed on important parts to obtain a first analysis result, and the first analysis result is filled in the corresponding field of the form; the first analysis result includes at least one of the following: design and structural characteristics analysis results, force analysis results, internal and external environment analysis results of the equipment / component / part, whether there is overload, and whether there is a design defect.

[0014] In some embodiments, the aging management table further includes a second analysis result field, and the method further includes:

[0015] The failure probability of the predictive failure mode is calculated to obtain a second analysis result, and the second analysis result is filled in the corresponding field of the table.

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

[0017] The predictive failure mode is converted into an overhaul and daily aging checklist; the overhaul and daily aging checklist is used to record the inspection of the important parts during the overhaul period and the daily period respectively.

[0018] In some embodiments, the method further comprises:

[0019] An equipment aging status and trend change evaluation table is compiled based on the predictive failure mode; the equipment aging status and trend change evaluation table is used to record the equipment aging status and trend change evaluation based on the results of overhaul and daily aging inspections.

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

[0021] A first assessment activity is performed at a first preset time interval, wherein the first assessment activity is: obtaining and determining the minimum inventory quantity and strategic spare parts reserve quantity of the equipment / component / part based on the assessed life of the equipment / component / part, existing anomalies / defects, external experience and the predictive failure mode, combined with the requirements and inspection results of the pre-stored maintenance / in-service inspection procedures and strategies, and ERP requirements.

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

[0023] A second assessment activity is performed at an interval of a second preset time, and the second assessment activity is: obtaining and determining whether to establish an aging inspection procedure and management outline based on the assessed life of the equipment / component / part, existing anomalies / defects, external experience and the predictive failure mode, combined with the inspection cycle, inspection scope, inspection method and inspection results specified in the pre-stored maintenance / in-service inspection procedures and strategies.

[0024] In addition, the present invention also provides a nuclear power turbine life cycle management platform, including an aging management module and a turbine life cycle database. The aging management module adopts the nuclear power turbine aging management method as described above, and the turbine life cycle database is used to store the data generated by the aging management module.

[0025] The implementation of the nuclear power steam turbine aging management method and full life cycle management platform of the present invention has the following beneficial effects: the present invention creates an aging management form, obtains and analyzes the failure mechanism and failure mode of important parts based on external experience, maintenance / in-service inspection results, abnormalities / defects / failures and their treatment, operation / periodic test data, performance monitoring data, equipment status / trend analysis / aging assessment results, so as to obtain the predictive failure mode of the important parts and fill it into the form, which can realize the efficient use of equipment information, can perform real-time and high-frequency aging management and status assessment of equipment, thereby realizing more economical predictive maintenance, and can timely and accurately analyze and process the equipment based on the predictive failure mode when the equipment fails. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0027] Figure 1 1 is a flow chart of a method for managing aging of a nuclear power steam turbine provided by an embodiment of the present invention;

[0028] Figure 2 is a schematic diagram of predictive failure mode analysis in some embodiments;

[0029] Figure 3 is a schematic diagram of three-stage disassembly of steam turbine components in some embodiments;

[0030] Figure 4 is an overall block diagram of a nuclear power steam turbine life cycle management platform according to some embodiments;

[0031] Figure 5 is a diagram of a steam turbine life cycle database module in some embodiments;

[0032] Figure 6 is a schematic diagram of a device status assessment process in some embodiments;

[0033] Figure 7 is a schematic diagram of a device status trend analysis process in some embodiments;

[0034] Figure 8 1 is a schematic diagram of a device aging assessment process in some embodiments. DETAILED DESCRIPTION

[0035] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific embodiments of the present invention are now described in detail with reference to the accompanying drawings. In the following description, it should also be noted that, unless otherwise clearly specified and limited, the terms "first", "second", "third", etc. are only for the convenience of describing the present technical solution, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the features. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0036] In the following description, specific details such as particular system structures and techniques are provided for purposes of illustration, not limitation, to facilitate a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0037] refer to Figure 1 In a preferred embodiment, the nuclear power steam turbine aging management method of this embodiment includes the following steps:

[0038] S1. Create an aging management table. The aging management table includes multiple fields, each used to store specific types of equipment information. Specifically, the aging management table includes the following fields: equipment name of the turbine sub-equipment / component / part, equipment quantity of the turbine sub-equipment / component / part, importance level of the turbine sub-equipment / component / part, parts supplier, parts drawing number, spare part corresponding code, maintenance / in-service inspection cycle, corresponding inspection method in the inspection procedure, warranty level, whether it is a CCM device, and predictive failure mode.

[0039] S2. Configure each field in the table, including defining the data type, data range, and default value for each field.

[0040] S3. Obtain and analyze the failure mechanism and failure mode of important parts based on external experience, maintenance / in-service inspection results, abnormalities / defects / failures and their treatment, operation / periodic test data, performance monitoring data, equipment status / trend analysis / aging assessment results to obtain the predictive failure mode of important parts and fill it in the corresponding fields of the form. Figure 2 As shown, Figure 2 A schematic diagram of predictive failure mode analysis for some embodiments is shown. It is understood that external experience, maintenance / in-service inspection results, anomalies / defects / failures and their treatment, operational / periodic test data, performance monitoring data, and equipment status / trend analysis / aging assessment results can be obtained from an established steam turbine lifecycle database.

[0041] It should be noted that in the nuclear power field, a failure mechanism refers to the physical, chemical, or mechanical process that causes a device, component, or system to lose its intended function. Failure mechanisms study the causes and processes that may occur during the operation of a device or system. This disclosure focuses not on failure mechanism and failure mode analysis per se, but rather on their application. Therefore, the specific analysis process for failure mechanism and failure mode analysis can be referenced in the prior art and will not be elaborated here.

[0042] In some embodiments, before creating the aging management table, the steps further include:

[0043] The steam turbine components are decomposed step by step to form three levels: sub-equipment, components, and parts. In other words, the arrangement and classification of equipment-related information in the database follows the three-level decomposition rule of the equipment, and conforms to the principle that a single steam turbine and sub-equipment / components / parts are interrelated. That is, the information of a single steam turbine includes the information of sub-equipment, the information of sub-equipment includes the information of components / parts, and similarly, the information of components includes the information of parts. For example, Figure 3 The diagram shows a three-level decomposition of steam turbine components. The steam turbine is broken down step by step, following the order of sub-equipment / component / part, ultimately into indecomposable parts (such as bolts, gaskets, pins, shrouds, and rotor blades). This ensures that every part of the steam turbine is analyzed. Sub-equipment includes related components, and components include related parts. For example, in the case of high-pressure cylinder / high-pressure rotor / high-pressure rotor blades, the high-pressure cylinder is a sub-equipment of the steam turbine, the high-pressure rotor is a component of the steam turbine, and the high-pressure rotor blades are parts of the steam turbine.

[0044] The importance of steam turbine components is graded, and parts that meet the preset importance conditions are determined to be important parts. In addition, components containing important parts are important components, and sub-equipment containing important parts are important sub-equipment. In some embodiments, this step grades the importance of parts into important and general. Components containing important parts become important components, and similarly, sub-equipment containing important parts become important sub-equipment. The importance of parts is graded according to the following method, divided into important and general, and aging management, life assessment, and replacement / renovation planning activities are carried out for important parts. Parts that meet any of the following conditions are important parts:

[0045] a. Parts with warranty levels of C1 and C2 are generally considered important parts.

[0046] b. Parts whose failure / malfunction will directly lead to downtime.

[0047] c. Parts that have a high probability of causing major industrial safety risks due to their own failure / malfunction.

[0048] d. Internal and external experience feedback on parts prone to failure.

[0049] e. Seals are generally important parts.

[0050] f. Load-bearing keys and pins, transmission gears, transmission bolts / parts, etc.

[0051] In some embodiments, the aging management table further includes a first analysis result field, and the method further includes:

[0052] Perform an operating environment analysis on the critical components to obtain a first analysis result, which is then entered into the corresponding fields of the table. The first analysis result includes at least one of an analysis of design and structural characteristics, a stress analysis, an analysis of the internal and external environment of the equipment / component / part, overload status, and design flaws. In other words, this step involves performing an operating environment analysis on the critical components, including analysis of design and structural characteristics, stress analysis, analysis of the internal and external environment of the equipment / component / part (corrosion, wet steam), overload status, and design flaws, and then entering the analysis into the table.

[0053] In some embodiments, the aging management table further includes a second analysis result field, and the method further includes:

[0054] The failure probability of the predictive failure mode is calculated to obtain a second analysis result, which is then entered into the corresponding field of the table. In other words, this step calculates the probability of the failure mode occurring (failure probability), analyzes the consequences after occurrence, and enters them into the table.

[0055] Translate the predicted failure modes into overhaul and routine aging checklists. The overhaul and routine aging checklists are used to record the inspections of important parts during overhaul and routine respectively.

[0056] An equipment aging status and trend change assessment table is compiled based on the predictive failure mode. The equipment aging status and trend change assessment table is used to record the equipment aging status and trend change assessment based on the results of overhaul and routine aging inspections.

[0057] A first assessment activity is conducted at a first preset interval. This assessment activity involves obtaining and determining the minimum inventory level and strategic spare parts reserve for the equipment / component / part based on the estimated lifespan of the equipment / component / part, existing anomalies / defects, external experience, and predictive failure modes, combined with the requirements and inspection results of pre-existing maintenance / in-service inspection procedures and strategies, and ERP requirements. Specifically, this step proposes the minimum inventory level and strategic spare parts reserve for the equipment / component / part based on the estimated lifespan of the equipment / component / part, existing anomalies / defects, failure modes, external experience, combined with the requirements and inspection results of existing maintenance / in-service inspection procedures and strategies, and ERP requirements. This assessment activity can be conducted annually.

[0058] A second assessment activity is conducted at a second preset interval. This involves obtaining and, based on the estimated lifespan of the equipment / component / part, existing anomalies / defects, external experience, and predictive failure modes, and in conjunction with the inspection cycles, scope, methods, and results specified in pre-existing maintenance / in-service inspection procedures and strategies, determining whether to establish a aging inspection program and management outline. Specifically, this step provides feedback on the current maintenance / in-service inspection procedures and strategies based on the estimated lifespan of the equipment / component / part, existing anomalies / defects, failure modes, external experience, and in conjunction with the inspection cycles, scope, methods, and results specified in existing maintenance / in-service inspection procedures and strategies, drawing on the results of new technologies and processes. The second assessment activity then determines whether to establish a aging inspection program and management outline based on actual conditions. This feedback activity can be conducted annually.

[0059] In some embodiments, the method further includes recording the above-mentioned content, results, evaluation results and feedback actions into a steam turbine life cycle database.

[0060] This embodiment can achieve efficient use of equipment information, can perform real-time, high-frequency aging management and status assessment of equipment, thereby achieving more economical predictive maintenance, and can perform timely and accurate analysis and processing of equipment based on predictive failure modes when equipment fails.

[0061] In another preferred embodiment, the nuclear power turbine life cycle management platform of this embodiment includes an aging management module and a turbine life cycle database. The aging management module adopts the nuclear power turbine aging management method as described in the above embodiment, and the turbine life cycle database is used to store data generated by the aging management module.

[0062] Figure 4 The overall block diagram of the nuclear power steam turbine life cycle management platform of some embodiments is shown. In the nuclear power steam turbine life cycle management platform of this embodiment, the steam turbine life cycle database includes basic information and dynamic information of the equipment. It can be understood that the basic information and dynamic information of the nuclear power steam turbine are obtained and entered into the steam turbine life cycle database, thereby building a steam turbine life cycle database (which can be simply referred to as a database). Regarding the frequency of entering dynamic information, in some embodiments, data and information can be entered regularly once a quarter, that is, the database update frequency is no more than 3 months. Regularly check for omissions and comprehensive database maintenance is carried out once a year.

[0063] Figure 5The following diagram shows a module diagram of a steam turbine lifecycle database in some embodiments. In this embodiment, a large amount of information / activity results (hereinafter referred to as information) is generated during the steam turbine lifecycle management process. Maintenance engineers, management engineers, modification engineers, and managers need to fully, accurately, in real time, and quickly understand and master this information to accurately grasp the history, current status, and future development trends of the equipment, correctly make corresponding assessment results, carry out planning activities, and make scientific decisions. The lifecycle management information / activity results are divided into basic information and dynamic information. Basic information includes but is not limited to: supplier, drawing or drawing number, spare part corresponding code, required minimum spare parts inventory and strategic spare parts storage status, quality assurance level, whether it is CCM equipment (critical sensitive equipment), design parameters, material chemical composition and metallographic structure, material heat treatment process and requirements, material conventional mechanical and physical properties, material high and low cycle fatigue data and fracture mechanics data, material stress corrosion data, manufacturing data and in-plant test data, installation data, commissioning data, etc. Dynamic information includes but is not limited to: maintenance / in-service inspection data, abnormalities / defects / faults and handling conditions or handling solutions and plans, aging inspection results, operation / periodic test data, performance inspection / test data and maintenance conditions and maintenance history, shutdown maintenance data, equipment status assessment / trend analysis / aging assessment results, handling solutions / plans / handling results for abnormal assessment results, external experience, failure modes, occurrence probability and consequences, life assessment results, replacement / modification plans for major equipment / components / parts, maintenance history such as replacement / modification of equipment / components / parts, aging status and trend change assessment results, corresponding inspection methods and inspection cycles in maintenance / in-service inspection procedures, equipment operating time (commissioning + operation), number of starts and stops (commissioning + operation, cold / hot state), transient operating condition data (commissioning + operation), load lifting statistics (commissioning + operation, including valve activity test), overspeed test data (commissioning + operation), user announcements issued by the manufacturer, ERP documents, turbine technical supervision documents, etc.

[0064] In some embodiments, the nuclear power steam turbine life cycle management platform further includes an equipment information query module for querying the steam turbine life cycle database in response to query conditions determined by the user to output corresponding equipment information query results.

[0065] Specifically, the process of implementing automatic query in the turbine life cycle database may include:

[0066] The user enters the device code or device name and determines the first query condition. The device information query module automatically searches the turbine lifecycle database for information related to a single turbine and its sub-devices / components / parts based on the device code or device name, and displays the query results. Information about a single turbine includes information about its sub-devices, which includes information about its components / parts, which in turn includes information about its parts. The user enters the device code or device name and determines the second query condition. The device information query module automatically searches the turbine lifecycle database for sub-devices / components / parts, spare parts, and / or strategic spare parts that are shared within a single turbine, across multiple units, or across power plants based on the device code or device name, and displays the query results. The user enters the device code or device name and determines the third query condition. The device information query module automatically searches the turbine lifecycle database for shared design of turbine components across multiple units and power plants based on the device code or device name, and displays the query results. The user enters the device code or name and specifies the fourth query condition. The device information query module automatically searches the turbine lifecycle database for the original design, modification / replacement, and periodic replacement information for sub-devices / components / parts based on the device code or name, and displays the query results. Modification / replacement information includes information related to modifications or replacements during the commissioning phase. When querying information related to a single steam turbine, a sub-device, component, or part of a single steam turbine, partial or all information from a single management module, multiple management modules, or all management modules is automatically displayed based on the query conditions.

[0067] This embodiment establishes a full-life database for steam turbine management to standardize and systematically integrate all data related to steam turbine equipment, thereby enabling systematic, standardized, and intensive information integration management of multiple power plants and multiple units, improving the convenience and comprehensiveness of user inquiries and facilitating timely and accurate analysis and processing when equipment failures occur.

[0068] In some embodiments, the nuclear power steam turbine life cycle management platform further includes a life cycle assessment management module. The following is an implementation of the life cycle assessment management module:

[0069] For different types of steam turbine components, corresponding life assessment methods are adopted to conduct life assessments on them, and the obtained life assessment results are entered into the steam turbine full life database.

[0070] Specifically, for different types of steam turbine components, the steps of adopting corresponding life assessment methods to conduct life assessment include:

[0071] When the part category is determined to be an important part, the life of the important component under each failure mode is evaluated to obtain multiple assessed remaining lives. The shortest assessed remaining life is compared and used as the assessed remaining life of the important part. Moreover, the assessed remaining life of a single turbine, sub-equipment, component, and part is taken as the shortest assessed remaining life at the next level.

[0072] When the part category is determined to be a seal, the estimated remaining life of the seal is determined based on the manufacturer's requirements, maintenance / in-service inspection results, operating conditions, performance test results, aging assessment results, and industry experience.

[0073] When a component is determined to be a shaft, rotor blades and their connections, wheel bolts / sleeves, or cylinder, a lifespan assessment is performed using a pre-set test calculation method. The specific pre-set test calculation method is referenced in the prior art and will not be detailed here.

[0074] For other important components that cannot be evaluated for life using the preset test calculation method, the corresponding life evaluation method is:

[0075] If a failure occurs in the unit, the shortest operating time / number of starts under the failure condition is obtained and used as the estimated remaining life of the important components.

[0076] If the unit has not failed, the shortest operating time / number of starts of similar units with failures is obtained and used as the estimated remaining life of important components.

[0077] If no failure occurs in this unit or similar units, the minimum value among the design life of this unit, the expected life of EPRI / LCM and the industry life is taken as the estimated remaining life of the important components.

[0078] For critical components with defects that cannot be corrected, the estimated remaining life is determined based on the component's operating time, current remaining value, development rate, and minimum guaranteed value. Specifically, estimated life = operating time (number of starts and stops) + (current remaining value - minimum guaranteed value) / development rate (mm / hr, mm / 1 start and stop).

[0079] For non-scheduled replacement sub-devices / components / parts, an automatic alarm will be triggered if the estimated remaining life is less than one maintenance interval. This means that for non-scheduled replacement sub-devices / components / parts, according to the Maintenance / In-Service Inspection Plan, an automatic alarm will be triggered if the estimated remaining life is less than one maintenance interval. This alarm information will automatically serve as input to other functional modules as needed.

[0080] When calculating lifespan based on the number of starts and stops, calculate the number of starts and stops corresponding to two maintenance intervals based on the average number of starts and stops per year after commercial operation. For example, if the average number of starts and stops is 2 times per year and two maintenance intervals correspond to 10 years, then the number of starts and stops corresponding to two maintenance intervals = 10 years x 2 times per year = 20.

[0081] If the life consumption is calculated in operating hours, the operating time is the total time corresponding to the two maintenance intervals minus the maintenance time.

[0082] The life assessment results shall be revised regularly based on manufacturer's user announcements, maintenance / in-service inspection results, operating conditions, performance test results, aging assessment results, industry experience, replacement conditions, etc., with a cycle of no more than 1 year, and the assessment results shall be entered into the full life cycle management database.

[0083] In some embodiments, the nuclear power steam turbine life cycle management platform further includes an equipment status assessment / trend analysis / aging assessment management module. The following is an implementation of the equipment status assessment / trend analysis / aging assessment management module:

[0084] 1.1 Management of Equipment Condition Assessment

[0085] Figure 6 A schematic diagram of a device status assessment process according to some embodiments is shown.

[0086] a. Evaluate the equipment status regularly based on equipment maintenance / in-service inspection results, performance monitoring / test results, operating parameters / operating conditions / periodic test results, shutdown maintenance, industry experience feedback results, life assessment results, aging management results, and turbine technical supervision. The cycle should not exceed 3 months, and the equipment status assessment results should be entered into the turbine life cycle database.

[0087] b. Equipment status assessment results are divided into normal, observation and improvement.

[0088] c. For the observation situation, it is necessary to formulate observation parameters, observation time, expected results and treatment plan, etc.

[0089] d. After the observation period, re-evaluate.

[0090] e. For improvement situations, treatment plans and procedures need to be developed.

[0091] f. Enter the assessment results, corresponding follow-up measures (c and e, etc.) and processing results into the life cycle management database.

[0092] 1.2 Management of equipment status trend analysis

[0093] Figure 7A schematic diagram of a device status trend analysis process according to some embodiments is shown.

[0094] a. Conduct equipment status trend analysis based on ① the changing trends of equipment status assessment results, ② the changing trends of performance monitoring / test results, ③ the changing trends of operating parameters / operating conditions / periodic test results, ④ the changing trends of maintenance / in-service inspection parameters, and ⑤ the changing trends of data and results. The trend analysis cycle shall not exceed one year.

[0095] b. Trend analysis results are classified as normal, no deterioration, and deterioration.

[0096] c. For the two situations where the results are no further deterioration or deterioration, treatment plans and procedures need to be developed.

[0097] d. Enter the equipment status trend analysis results, corresponding follow-up measures and processing results into the life cycle management database.

[0098] 1.3 Management of Equipment Aging Assessment

[0099] Figure 8 A schematic diagram of a device aging assessment process according to some embodiments is shown.

[0100] a. Evaluate the equipment aging status and trend changes based on ① routine and overhaul aging inspection results, ② equipment maintenance / in-service inspection results, ③ performance monitoring / test results, ④ life assessment results, and ⑤ industry experience feedback. Complete the evaluation within one week of the routine aging inspection results and within one month of the overhaul aging inspection results.

[0101] b. Aging assessment results are divided into normal and abnormal aging.

[0102] c. For cases where the result is abnormal aging, treatment plans and programs must be developed; equipment maintenance / in-service inspection procedures and strategies or aging inspection procedures and strategies must be evaluated, improved, and adjusted in a timely manner; equipment life and equipment replacement / modification plans must be evaluated and adjusted in a timely manner.

[0103] d. Enter the equipment aging assessment results, corresponding follow-up measures and processing results into the life cycle management database.

[0104] e. If any of the following results, including ① routine and overhaul aging inspection results, ② equipment maintenance / in-service inspection results, ③ performance monitoring / test results, ④ life assessment results, and ⑤ industry experience feedback, have a significant impact on the life assessment, the aging assessment must be completed within one week of the above results being released.

[0105] This embodiment adopts a management method based on equipment reliability management to achieve all-round, refined, intensive and information-automated management. The management content and activities include maintenance / in-service inspection activities and strategies, operation and periodic testing, performance monitoring, shutdown maintenance, equipment status assessment / trend analysis / aging assessment, internal and external experience feedback, life assessment, aging management, strategic spare parts management, replacement / modification planning and implementation of major equipment / components / parts, emergency repair plan (ERP), establishment and maintenance of full life cycle management database, and turbine technical supervision, thereby realizing automatic information query and automatic related activities.

[0106] In some embodiments, in order to solve the problem of fine management of the entire life cycle of the steam turbine, a steam turbine life management platform is built based on the steam turbine full life database (covering design, manufacturing, commissioning, operation, maintenance, and modification), which can cover: 1. Steam turbine operation status monitoring and early warning module, 2. Aging management module, 3. Life management module, 4. Equipment status assessment and trend analysis module (health status assessment management), 5. Equipment (or component) modification planning and implementation management module, 6. Maintenance and in-service inspection management module, 7. Operation and periodic test management module, 8. Performance detection and test management module, 9. Shutdown maintenance management module, 10. Internal and external experience feedback management module, 11. Maintenance outline management module, 12. Emergency plan management module, 13. Spare parts management module, 14. User management module.

[0107] In some embodiments, the establishment and maintenance of the full lifecycle management technology platform can achieve the following functions:

[0108] a. According to the corresponding code or name, the relevant information of the sub-device, component or part can be automatically queried respectively. The information of the device is required to include the information of the component / part, and similarly, the information of the component includes the information of the part.

[0109] b. Automatically query information.

[0110] c. Automatically plot manufacturing data and in-plant test data, installation data, commissioning data, maintenance / in-service inspection data, aging inspection results, operation / periodic test data, performance monitoring / test data, shutdown maintenance data, equipment status assessment / trend analysis / aging assessment results, aging status and trend change assessment results, shutdown maintenance results, etc. into trend curves or charts, and can provide alarm prompts.

[0111] d. Using automated or manual intervention methods, regularly or on schedule, conduct activities such as equipment condition assessment / trend analysis / aging assessment, life assessment, reassessment of assessed life, reassessment of spare parts condition, feedback on maintenance / in-service inspection procedures and strategies, reassessment of major equipment replacement / modification plans, external experience collection / analysis / feedback, performance monitoring / test evaluation, downtime maintenance evaluation, lifecycle management database maintenance, and turbine technical supervision feedback. The results are stored and output in graphical form. Follow-up actions are carried out according to the corresponding requirements based on the results, and the results can be output in graphical form. Alarms are issued for abnormal results.

[0112] e. Provide alarms for activities such as assessment, feedback, formulation of treatment plans, implementation of treatment plans, entry of treatment results, database maintenance, and steam turbine technical supervision, assessment, and evaluation that are not carried out on time.

[0113] f. Automatically identify whether major equipment / components / parts have been replaced / modified, and automatically query all relevant information before the major equipment / components / parts are replaced / modified, as well as the time / reason / implementation status / results of the replacement / modification.

[0114] g. It should have the functions of automatically performing life assessment and module modification, or automatically receiving the results of assessment and planning.

[0115] The life cycle management technology platform automatically accesses relevant data and information from the life cycle management database. Each power plant establishes the "Method for Establishing the Life Cycle Management Platform" and the "Method for Operating the Life Cycle Management Platform."

[0116] The steam turbine lifecycle management platform of this embodiment fills a gap in intelligent steam turbine equipment management, transforming the previous state of manual information collection and cross-management across multiple management platforms (or software). It also fills the final gap in intelligent power plant construction and provides a concrete reference for establishing intelligent management platforms for other key power plant equipment. This project is also the first platform, both domestically and internationally, to standardize and structure the management of steam turbine design, construction, operation, and maintenance data. This standardized data platform enables real-time interconnection of various equipment management modules (such as experience feedback, status assessment, and lifecycle assessment), allowing for instant assessment of equipment status.

[0117] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0118] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0119] It is understandable that the above embodiments only express the preferred implementation modes of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the patent scope of the present invention. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present invention, the above technical features can be freely combined, and several deformations and improvements can be made, all of which fall within the scope of protection of the present invention. Therefore, all equivalent changes and modifications made to the scope of the claims of the present invention should fall within the scope of coverage of the claims of the present invention.

Claims

1. A method for managing aging of a nuclear power steam turbine, characterized in that: The following steps are involved: Creating an aging management table, wherein the aging management table includes a plurality of fields, each field being used to store a specific type of device information; Configure each field in the table, including defining the data type, data range, and default value for each field; Obtain and analyze the failure mechanism and failure mode of important parts based on external experience, maintenance / in-service inspection results, anomalies / defects / failures and their handling, operation / periodic test data, performance monitoring data, equipment status / trend analysis / aging assessment results to obtain the predictive failure mode of the important parts and fill it in the corresponding fields of the form.

2. The nuclear power steam turbine aging management method according to claim 1, characterized in that: Before creating the aging management table, the following steps are also included: Decompose the steam turbine components step by step to form three levels: sub-equipment, components, and parts; The importance of steam turbine components is graded, and parts that meet the preset importance conditions are determined as important parts. In addition, components containing important parts are important components, and sub-equipment containing important components is important sub-equipment.

3. The nuclear power steam turbine aging management method according to claim 1 or 2, characterized in that: The aging management form includes the following fields: the equipment name of the sub-equipment / component / part of the steam turbine, the equipment quantity of the sub-equipment / component / part of the steam turbine, the importance level of the sub-equipment / component / part of the steam turbine, the parts supplier, the parts drawing number, the corresponding spare part code, the maintenance / in-service inspection cycle, the corresponding inspection method in the inspection procedure, the quality assurance level, whether it is CCM equipment, and the predictive failure mode.

4. The nuclear power steam turbine aging management method according to claim 1, characterized in that: The aging management table further includes a first analysis result field, and the method further includes: An operating environment analysis is performed on important parts to obtain a first analysis result, and the first analysis result is filled in the corresponding field of the form; the first analysis result includes at least one of the following: design and structural characteristics analysis results, force analysis results, internal and external environment analysis results of the equipment / component / part, whether there is overload, and whether there is a design defect.

5. The nuclear power steam turbine aging management method according to claim 1, characterized in that: The aging management table further includes a second analysis result field, and the method further includes: The failure probability of the predictive failure mode is calculated to obtain a second analysis result, and the second analysis result is filled in the corresponding field of the table.

6. The nuclear power steam turbine aging management method according to claim 1, characterized in that: The method further includes: The predictive failure mode is converted into an overhaul and daily aging checklist; the overhaul and daily aging checklist is used to record the inspection of the important parts during the overhaul period and the daily period respectively.

7. The nuclear power steam turbine aging management method according to claim 1, characterized in that: The method further includes: An equipment aging status and trend change evaluation table is compiled based on the predictive failure mode; the equipment aging status and trend change evaluation table is used to record the equipment aging status and trend change evaluation based on the results of overhaul and daily aging inspections.

8. The nuclear power steam turbine aging management method according to claim 1, characterized in that: The method further includes: A first assessment activity is performed at a first preset time interval, wherein the first assessment activity is: obtaining and determining the minimum inventory quantity and strategic spare parts reserve quantity of the equipment / component / part based on the assessed life of the equipment / component / part, existing anomalies / defects, external experience and the predictive failure mode, combined with the requirements and inspection results of the pre-stored maintenance / in-service inspection procedures and strategies, and ERP requirements.

9. The nuclear power steam turbine aging management method according to claim 1, characterized in that: The method further includes: A second assessment activity is performed at an interval of a second preset time, and the second assessment activity is: obtaining and determining whether to establish an aging inspection procedure and management outline based on the assessed life of the equipment / component / part, existing anomalies / defects, external experience and the predictive failure mode, combined with the inspection cycle, inspection scope, inspection method and inspection results specified in the pre-stored maintenance / in-service inspection procedures and strategies.

10. A nuclear power steam turbine life cycle management platform, characterized in that: It includes an aging management module and a turbine life cycle database. The aging management module adopts the nuclear power turbine aging management method according to any one of claims 1 to 9. The turbine life cycle database is used to store data generated by the aging management module.

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