CN113051747B - Method and device for constructing aircraft reliability data asset model - Google Patents

Method and device for constructing aircraft reliability data asset model Download PDF

Info

Publication number
CN113051747B
CN113051747B CN202110296613.4A CN202110296613A CN113051747B CN 113051747 B CN113051747 B CN 113051747B CN 202110296613 A CN202110296613 A CN 202110296613A CN 113051747 B CN113051747 B CN 113051747B
Authority
CN
China
Prior art keywords
reliability
target model
task
aircraft
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110296613.4A
Other languages
Chinese (zh)
Other versions
CN113051747A (en
Inventor
陈冬梅
王群勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BEIJING SHENGTAOPING TEST ENGINEERING TECHNOLOGY RESEARCH INSTITUTE
Original Assignee
BEIJING SHENGTAOPING TEST ENGINEERING TECHNOLOGY RESEARCH INSTITUTE
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BEIJING SHENGTAOPING TEST ENGINEERING TECHNOLOGY RESEARCH INSTITUTE filed Critical BEIJING SHENGTAOPING TEST ENGINEERING TECHNOLOGY RESEARCH INSTITUTE
Priority to CN202110296613.4A priority Critical patent/CN113051747B/en
Publication of CN113051747A publication Critical patent/CN113051747A/en
Application granted granted Critical
Publication of CN113051747B publication Critical patent/CN113051747B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Operations Research (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a method and a device for constructing an aircraft reliability data asset model, comprising the following steps: acquiring an aircraft operation reliability historical original data set; determining a system availability target model based on the aircraft operational reliability historical raw data set; decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model; and optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index. According to the invention, the service object of the aircraft reliability basic data is converted by constructing the asset global model of the aircraft reliability data, the performance data of the equipment is converted into the performance requirement of purchasing the asset, and the decision support relationship among availability, reliability and maintainability is perfected.

Description

Method and device for constructing aircraft reliability data asset model
Technical Field
The invention relates to the technical field of aviation equipment, in particular to a method and a device for constructing an aircraft reliability data asset model.
Background
For the reliability research of the operation of the aircraft, the research and analysis of the indexes of the aircraft or the indexes of each system, each device and even each part are mostly limited in the industry, and the indexes are aimed at the local data of the specific problems, but the global model construction process is not needed, and the local solution is easily limited.
Therefore, a new method for global model construction for aircraft reliability data needs to be proposed, which converts the target object of the aircraft reliability data and seeks an optimal solution.
Disclosure of Invention
The invention provides a method and a device for constructing an aircraft reliability data asset model, which are used for solving the defect that no system reliability asset model exists in the prior art.
In a first aspect, the present invention provides a method for constructing an aircraft reliability data asset model, comprising:
acquiring an aircraft operation reliability historical original data set;
determining a system availability target model based on the aircraft operational reliability historical raw data set;
decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model;
and optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index.
In one embodiment, the determining a system availability target model based on the aircraft operational reliability historical raw data set specifically includes:
determining a final requirement of the aircraft reliability base data service object as a purchase asset based on the PBL concept;
determining a system KPP as task availability;
the system availability goal models include task decisions, assets, information assets, and business assets.
In one embodiment, the task decision includes a function or performance, the asset includes a performance or wellness, the information asset includes a RAM-C, and the business asset includes an AOA code.
In one embodiment, the decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model specifically includes:
the system reliability target model comprises risks, hazards, events, consequences, weak links, hazard sources and hazard modes;
the system maintainability target model includes risk countermeasures, task requirements and controls.
In one embodiment, the risk comprises a functional failure state, the hazard comprises a functional failure mode, the event comprises a functional failure effect, the outcome comprises a functional failure outcome, the weak link comprises FRACAS, the hazard source comprises FTA, and the hazard pattern comprises FMEA;
the risk countermeasure includes a functional failure guard, the TASK requirement includes a TASK, and the control includes a functional failure default.
In one embodiment, the optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index specifically includes:
determining a fault rate by task reliability and determining a repair rate by task maintainability;
obtaining a quantitative model relation between the system reliability target model and the system maintainability target model based on the fault rate and the maintenance rate;
and carrying out optimization solution on the quantitative model relation to obtain the task guarantee key performance index.
In a second aspect, the present invention also provides an aircraft reliability data asset model building apparatus, including:
the acquisition module is used for acquiring an aircraft operation reliability historical original data set;
a determining module for determining a system availability target model based on the aircraft operational reliability historical raw data set;
the decomposition module is used for decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model;
and the optimization module is used for optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index.
In one embodiment, the determining module is specifically configured to:
determining a final requirement of the aircraft reliability base data service object as a purchase asset based on the PBL concept;
determining a system KPP as task availability;
the system availability goal models include task decisions, assets, information assets, and business assets.
In a third aspect, the present invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the aircraft reliability data asset model building method as described in any one of the above when the program is executed.
In a fourth aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a method of constructing an aircraft reliability data asset model as described in any of the above.
According to the method and the device for constructing the aircraft reliability data asset model, the service object of the aircraft reliability basic data is converted by constructing the asset global model of the aircraft reliability data, the performance data of the equipment is converted into the performance requirement of purchasing the asset, and the decision support relation among availability, reliability and maintainability is perfected.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a method for constructing an aircraft reliability data asset model provided by the invention;
FIG. 2 is a conceptual layer model schematic diagram of decision purposes provided by the present invention;
FIG. 3 is a schematic diagram of the structure of the aircraft reliability data asset model building apparatus provided by the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides an aircraft reliability data asset model construction method, which is Based on a PBL (Performance-Based logic, based organization) concept, defines the final requirement of a service object of aircraft reliability basic data as a purchased asset, and determines that the purchased asset is Performance, namely Performance, is a key Performance index KPP (Key Performance Parameter) for ensuring success of a task, is not an aircraft or a system, equipment, parts and the like, is task Availability availabilities, is not a stack of objects, and is the task Availability of an aircraft or a plurality of aircraft clusters, wherein the stack of objects is the capability of completing the task.
FIG. 1 is a schematic flow chart of a method for constructing an aircraft reliability data asset model, as shown in FIG. 1, comprising:
s1, acquiring an aircraft operation reliability historical original data set;
s2, determining a system availability target model based on the aircraft operation reliability historical original data set;
s3, decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model;
and S4, optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index.
Specifically, firstly, an aircraft operation reliability original data set, namely various historical index data of aircraft operation, is obtained, a system Availability target model is definitely formulated based on various historical index data, then two support target models, namely a system reliability target model and a system maintainability target model, are decomposed by the system Availability target model, and task guarantee key performance indexes, namely a task Availability target finally realized, are obtained by carrying out optimization solution on the two decomposed models.
According to the invention, the service object of the aircraft reliability basic data is converted by constructing the asset global model of the aircraft reliability data, the performance data of the equipment is converted into the performance requirement of purchasing the asset, and the decision support relationship among availability, reliability and maintainability is perfected.
Based on the above embodiment, the determining a system availability target model based on the aircraft operational reliability historical raw data set specifically includes:
determining a final requirement of the aircraft reliability base data service object as a purchase asset based on the PBL concept;
determining a system KPP as task availability;
the system availability goal models include task decisions, assets, information assets, and business assets.
Wherein the task decision includes a function or performance, the asset includes a performance or health, the information asset includes RAM-C, and the business asset includes an AOA code.
Specifically, as shown in the conceptual layer model schematic diagram of fig. 2, a conceptual layer model of the technical field of aircraft product reliability basic data is established, a boundary range is defined, and the core total elements are defined as seven core problems of international ATA MSG-3 universal RCM.
The Availability of tasks availabilities may be broken down into task decisions, assets, information assets, and business assets, where task decisions include functions or capabilities (functions), assets include efficacy or health, information assets include RAM-C, and business assets include AOA (Aircraft Operational Availability) encodings.
Here, the asset is the task ultimate performance (effective) or integrity (Readiness), the information asset is the top layer of RAM-C and the unified consistency constraint of each level, and the business asset is the completeness of the AOA coding system.
According to the invention, through aiming functions/performances, decision support points can be found in the conceptual layer model for any particle in any level of any system, so that the performance conversion problem in the field of basic data of the reliability of aircraft products is effectively solved, and an organic life system is formed.
Based on any one of the above embodiments, the decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model specifically includes:
the system reliability target model comprises risks, hazards, events, consequences, weak links, hazard sources and hazard modes;
the system maintainability target model includes risk countermeasures, task requirements and controls.
Wherein the risk includes a functional failure state, the hazard includes a functional failure mode, the event includes a functional failure effect, the outcome includes a functional failure outcome, the weak link includes FRACAS, the hazard source includes FTA, and the hazard mode includes FMEA.
The risk countermeasure includes a functional failure guard, the TASK requirement includes a TASK, and the control includes a functional failure default.
Specifically, in FIG. 2, the system reliability goal model includes risk, hazard, event, outcome, weak link, hazard source, and hazard pattern.
Wherein the risk includes a functional failure state (Function Failure Condition), the hazard includes a functional failure mode (Function Failure Mode), the event includes a functional failure effect (Function Failure Effect), the outcome includes a functional failure outcome (Function Failure Consequence), the weak link includes a FRACAS closed loop vulnerability, the hazard source includes an FTA, and the hazard mode includes an FMEA.
The system maintainability goal model includes risk countermeasures, mission requirements, and controls.
The risk countermeasure includes a functional failure protection (Function Failure Maintenance), and the TASK requirement includes TASK, i.e., a last landing action.
The invention effectively integrates the original independence of the reliability R, the maintainability M and the task availability A, integrates the internal logic relations of the reliability R, the maintainability M and the task availability A into a unified quantitative relation based on KPP, integrates the complicated relation around seven RCM problems which are the most focused by the ATA MSG-3Reliability Centered Maintenance concept, reduces and unifies the seven RCM problems in a limited problem frame diagram, and reduces the communication cost.
Based on any one of the above embodiments, the optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index specifically includes:
determining a fault rate by task reliability and determining a repair rate by task maintainability;
obtaining a quantitative model relation between the system reliability target model and the system maintainability target model based on the fault rate and the maintenance rate;
and carrying out optimization solution on the quantitative model relation to obtain the task guarantee key performance index.
Specifically, the invention is based on the definition of the unavailable time, the task availability A, the reliability R, the maintainability M and the task availability A have the following quantitative model relation:
the fault rate lambda is determined by reliability, the repair rate mu is determined by maintainability, the physical connotation range of the fault rate and the repair rate is unified and solidified, and a complete panoramic context scene is provided.
The invention solidifies the context foundation for the establishment condition of the quantitative model relationship and lays the foundation for establishing an accurate calculation model.
The aircraft reliability data asset model construction device provided by the invention is described below, and the aircraft reliability data asset model construction device described below and the aircraft reliability data asset model construction method described above can be correspondingly referred to each other.
FIG. 3 is a schematic structural diagram of an aircraft reliability data asset model building apparatus provided by the present invention, as shown in FIG. 3, including: the system comprises an acquisition module 31, a determination module 32, a decomposition module 33 and an optimization module 34; wherein:
the acquisition module 31 is used for acquiring an aircraft operation reliability historical original data set; a determination module 32 is configured to determine a system availability target model based on the aircraft operational reliability historical raw data set; the decomposition module 33 is configured to decompose the system availability target model to obtain a system reliability target model and a system maintainability target model; the optimization module 34 is configured to optimize the system reliability target model and the system maintainability target model to obtain a task guarantee key performance index.
According to the invention, the service object of the aircraft reliability basic data is converted by constructing the asset global model of the aircraft reliability data, the performance data of the equipment is converted into the performance requirement of purchasing the asset, and the decision support relationship among availability, reliability and maintainability is perfected.
In one embodiment, the determining module 32 is specifically configured to:
determining a final requirement of the aircraft reliability base data service object as a purchase asset based on the PBL concept;
determining a system KPP as task availability;
the system availability goal models include task decisions, assets, information assets, and business assets.
Fig. 4 illustrates a physical schematic diagram of an electronic device, as shown in fig. 4, which may include: processor 410, communication interface 420, memory 430 and communication bus 440, wherein processor 410, communication interface 420 and memory 430 communicate with each other through communication bus 440. Processor 410 may invoke logic instructions in memory 430 to perform an aircraft reliability data asset model building method comprising: acquiring an aircraft operation reliability historical original data set; determining a system availability target model based on the aircraft operational reliability historical raw data set; decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model; and optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index.
Further, the logic instructions in the memory 430 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method of constructing an aircraft reliability data asset model provided by the methods described above, the method comprising: acquiring an aircraft operation reliability historical original data set; determining a system availability target model based on the aircraft operational reliability historical raw data set; decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model; and optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the above-provided aircraft reliability data asset model building methods, the method comprising: acquiring an aircraft operation reliability historical original data set; determining a system availability target model based on the aircraft operational reliability historical raw data set; decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model; and optimizing the system reliability target model and the system maintainability target model to obtain the task guarantee key performance index.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (6)

1. A method of constructing an aircraft reliability data asset model, comprising:
acquiring an aircraft operation reliability historical original data set;
determining a system availability target model based on the aircraft operational reliability historical raw data set;
decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model;
optimizing the system reliability target model and the system maintainability target model to obtain a task guarantee key performance index; the method for determining the system availability target model based on the aircraft operation reliability historical original data set specifically comprises the following steps:
determining a final requirement of the aircraft reliability base data service object as a purchase asset based on a logical organization work PBL concept;
determining a key performance index KPP for successful system guarantee task as task availability;
the system availability goal model includes task decisions, assets, information assets, and business assets;
the system reliability target model and the system maintainability target model are obtained by decomposing according to the system availability target model, and the method specifically comprises the following steps:
the system reliability target model comprises risks, hazards, events, consequences, weak links, hazard sources and hazard modes;
the system maintainability target model comprises risk countermeasures, task requirements and control;
the risk comprises a functional failure state, the hazard comprises a functional failure mode, the event comprises a functional failure effect, the result comprises a functional failure result, the weak link comprises a fault reporting, analyzing and correcting measure system FRACAS, the hazard source comprises a fault tree analysis technology FTA, and the hazard mode comprises a fault mode and an influence analysis technology FMEA;
the risk countermeasure includes a functional failure guard, the TASK requirement includes a TASK, and the control includes a functional failure default.
2. The aircraft reliability data asset model construction method of claim 1, wherein the mission decision comprises a function or performance, the asset comprises a performance or integrity, the information asset comprises a RAM-C, and the business asset comprises an AOA code.
3. The method for constructing an aircraft reliability data asset model according to claim 1, wherein optimizing the system reliability target model and the system maintainability target model to obtain the mission-guarantee key performance index specifically comprises:
determining a fault rate by task reliability and determining a repair rate by task maintainability;
obtaining a quantitative model relation between the system reliability target model and the system maintainability target model based on the fault rate and the maintenance rate;
and carrying out optimization solution on the quantitative model relation to obtain the task guarantee key performance index.
4. An aircraft reliability data asset model building apparatus, comprising:
the acquisition module is used for acquiring an aircraft operation reliability historical original data set;
a determining module for determining a system availability target model based on the aircraft operational reliability historical raw data set;
the decomposition module is used for decomposing according to the system availability target model to obtain a system reliability target model and a system maintainability target model;
the optimization module is used for optimizing the system reliability target model and the system maintainability target model to obtain task guarantee key performance indexes;
the determining module is specifically configured to:
determining a final requirement of the aircraft reliability base data service object as a purchase asset based on a logical organization work PBL concept;
determining a key performance index KPP for successful system guarantee task as task availability;
the system availability goal model includes task decisions, assets, information assets, and business assets;
the decomposition module is specifically configured to:
the system reliability target model comprises risks, hazards, events, consequences, weak links, hazard sources and hazard modes;
the system maintainability target model comprises risk countermeasures, task requirements and control;
the risk comprises a functional failure state, the hazard comprises a functional failure mode, the event comprises a functional failure effect, the result comprises a functional failure result, the weak link comprises a fault reporting, analyzing and correcting measure system FRACAS, the hazard source comprises a fault tree analysis technology FTA, and the hazard mode comprises a fault mode and an influence analysis technology FMEA;
the risk countermeasure includes a functional failure guard, the TASK requirement includes a TASK, and the control includes a functional failure default.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the aircraft reliability data asset model construction method of any one of claims 1 to 3.
6. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the aircraft reliability data asset model construction method of any of claims 1 to 3.
CN202110296613.4A 2021-03-19 2021-03-19 Method and device for constructing aircraft reliability data asset model Active CN113051747B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110296613.4A CN113051747B (en) 2021-03-19 2021-03-19 Method and device for constructing aircraft reliability data asset model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110296613.4A CN113051747B (en) 2021-03-19 2021-03-19 Method and device for constructing aircraft reliability data asset model

Publications (2)

Publication Number Publication Date
CN113051747A CN113051747A (en) 2021-06-29
CN113051747B true CN113051747B (en) 2024-02-09

Family

ID=76513860

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110296613.4A Active CN113051747B (en) 2021-03-19 2021-03-19 Method and device for constructing aircraft reliability data asset model

Country Status (1)

Country Link
CN (1) CN113051747B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102136034A (en) * 2011-03-18 2011-07-27 北京航空航天大学 Military aircraft reliability quantitative requirement demonstration method
CN104636826A (en) * 2015-01-27 2015-05-20 中国石油化工股份有限公司 Method for optimizing reliability and maintenance strategy of chemical refining equipment
WO2017093560A1 (en) * 2015-12-03 2017-06-08 Electricite De France Estimating the reliability of an industrial system
CN110390404A (en) * 2019-07-12 2019-10-29 杭州培慕科技有限公司 A kind of RCM in knowledge based library and data management
CN110705065A (en) * 2019-09-20 2020-01-17 中国航空综合技术研究所 Multi-quality characteristic integrated modeling simulation evaluation method for aviation equipment
CN111291448A (en) * 2019-12-24 2020-06-16 中国航空工业集团公司西安飞机设计研究所 Military aircraft mission reliability index distribution method
CN111950089A (en) * 2020-08-18 2020-11-17 北京航空航天大学 Method and device for confirming reliability technical-requirement of helicopter transmission system
CN112182783A (en) * 2020-11-02 2021-01-05 中国运载火箭技术研究院 Risk identification method and device for aerospace vehicle system and storage medium

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180218277A1 (en) * 2017-01-30 2018-08-02 General Electric Company Systems and methods for reliability monitoring
US11016479B2 (en) * 2017-05-16 2021-05-25 Mitek Analytics Llc System and method for fleet reliabity monitoring
US10861252B2 (en) * 2018-01-23 2020-12-08 Massoud Nakhkoob Niasar Aircraft maintenance and aircraft reliability engineering software system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102136034A (en) * 2011-03-18 2011-07-27 北京航空航天大学 Military aircraft reliability quantitative requirement demonstration method
CN104636826A (en) * 2015-01-27 2015-05-20 中国石油化工股份有限公司 Method for optimizing reliability and maintenance strategy of chemical refining equipment
WO2017093560A1 (en) * 2015-12-03 2017-06-08 Electricite De France Estimating the reliability of an industrial system
CN110390404A (en) * 2019-07-12 2019-10-29 杭州培慕科技有限公司 A kind of RCM in knowledge based library and data management
CN110705065A (en) * 2019-09-20 2020-01-17 中国航空综合技术研究所 Multi-quality characteristic integrated modeling simulation evaluation method for aviation equipment
CN111291448A (en) * 2019-12-24 2020-06-16 中国航空工业集团公司西安飞机设计研究所 Military aircraft mission reliability index distribution method
CN111950089A (en) * 2020-08-18 2020-11-17 北京航空航天大学 Method and device for confirming reliability technical-requirement of helicopter transmission system
CN112182783A (en) * 2020-11-02 2021-01-05 中国运载火箭技术研究院 Risk identification method and device for aerospace vehicle system and storage medium

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
作战飞机可靠性与维修性仿真模型;廖武, 张诤敏, 陈云翔, 项华春;火力与指挥控制(第07期);52-55, 60 *
军用飞机可用度概念模型及仿真;赵冰化;王勇;;火力与指挥控制(第06期);82-85 *
可靠性及维修性对飞机***效能的影响分析;马利东, 王立波, 张德斌;工业工程(第01期);16-18 *
基于签派可靠度的民用飞机可靠性参数体系构建方法研究;褚双磊;魏志强;任强;王岩韬;;数学的实践与认识(第10期);129-138 *
舰空导弹武器***可靠性维修性试验设计;薛鲁强;隋江波;王贵喜;;兵工自动化(第10期);8-11 *

Also Published As

Publication number Publication date
CN113051747A (en) 2021-06-29

Similar Documents

Publication Publication Date Title
US11119878B2 (en) System to manage economics and operational dynamics of IT systems and infrastructure in a multi-vendor service environment
US10057144B2 (en) Remote system data collection and analysis framework
US20190236485A1 (en) Orchestration system for distributed machine learning engines
US8260736B1 (en) Intelligent system manager system and method
Wang et al. Reliability importance of components in a complex system
US20180261100A1 (en) Decision aid system for remotely controlled/partially autonomous vessels
US11797890B2 (en) Performance manager to autonomously evaluate replacement algorithms
CN113516244B (en) Intelligent operation and maintenance method and device, electronic equipment and storage medium
RU2502131C1 (en) Method for automated control of design of onboard intelligent systems
WO2019209231A2 (en) System and method for creating recommendation of splitting and merging microservice
RU2589353C2 (en) System for helicopter engine maintenance recommendation
CN115062906A (en) Intelligent evaluation method and device for production operation risk
CN113051747B (en) Method and device for constructing aircraft reliability data asset model
CN113313304A (en) Power grid accident abnormity analysis method and system based on big data decision tree
US20180089637A1 (en) Framework for industrial asset repair recommendations
CN109978299B (en) Data analysis method and device for offshore wind power business and storage medium
Larrinaga et al. Implementation of a reference architecture for cyber physical systems to support condition based maintenance
CN113610474B (en) Inventory management method and system based on event network
CN113986495A (en) Task execution method, device, equipment and storage medium
CN110674935A (en) Method for transplanting intelligent algorithm to airborne embedded platform and intelligent computing platform
CN112860523B (en) Batch job processing fault prediction method, device and server
CN117196321B (en) Nuclear power plant planning task probability risk calculation method and calculation device thereof
CN114124526B (en) Threat complexity analysis method combining multi-level and entropy weight method
US20220391807A1 (en) Systems and methods for predicting and managing tool assets
US20230385730A1 (en) Segmenting processes into stand-alone services

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant