基于大数据分析方法的商用飞机MOC9试验项目管理可视化模型研究  

Study on visualization model of commercial aircraft MOC9 test project management based on big data analysis method

作　　者：于海燕[1] 余汇[2] YU Haiyan;YU Hui(Program Center,Shanghai Aircraft Design and Research Institute,Shanghai 201210,China;Aircraft Electronic Control Integration Engineering Technology Institute,Shanghai Aircraft Design and Research Institute,Shanghai 201210,China)

机构地区：[1]上海飞机设计研究院项目中心,上海201210 [2]上海飞机设计研究院飞机电控集成工程技术所,上海201210

出　　处：《航空工程进展》2024年第3期71-80,共10页Advances in Aeronautical Science and Engineering

摘　　要：实践表明,大数据技术可以对管理过程赋能,商用飞机MOC9试验项目作为商用飞机研制复杂高端项目群中的重要项目,其在研制期间会产生大量项目管理数据,因此,研究如何利用大数据技术推动该类项目实现项目目标十分必要。基于商用飞机研制项目群下MOC9试验项目的特点及其对大数据管理的需求,结合大数据技术处理流程和方法对MOC9试验项目从架构策划、数据获取与存储、数据清洗处理、分析挖掘、可视化展示多方面开展研究。结果表明:通过大数据技术对MOC9试验项目建立量化的可视化模型,能够对项目经理掌握项目整体情况、定位问题根本原因、识别项目潜在风险提供必要的帮助。Practice has shown that big data technology can empower the management process.As an important project in the complex high-end program of commercial aircraft development,the commercial aircraft MOC9 test project will generate a large amount of project management data during development.Therefore,it is necessary to study how to use big data technology to promote such projects to achieve project objectives.Based on the characteristics of the MOC9 test project under the commercial aircraft development program and its demand for big data management,this article conducts study on the MOC9 test project from multiple aspects such as architecture plan⁃ning,data acquisition and storage,data cleaning and processing,analysis mining,and visual display,combined with big data technology processing processes and methods.The results show that establishing a quantitative visual model for MOC9 projects through big data technology can provide the necessary help for the project managers to master the overall situation of the project,locate the root causes of problems,and identify potential risks of the proj⁃ect.

关 键 词：商用飞机 MOC9试验项目 大数据 可视化 项目监控 

分 类 号：V216[航空宇航科学与技术—航空宇航推进理论与工程] V217[自动化与计算机技术—计算机软件与理论] TP311.13[自动化与计算机技术—计算机科学与技术] C931.9[经济管理—管理学]