摘要
航空发动机型号研制过程中会产生大量的试验数据,为了充分发挥这些数据的作用,选用IoTDB数据管理平台,对航空发动机多源试验数据的清洗和升维方法进行了研究,并提供了一种面向多源数据融合的分布式数据平台架构。通过该平台,可保证数据得到高效利用,解决了通过人工手段处理、整合数据费时耗力且效果不理想的问题,同时为后续开展数据挖掘奠定了基础。
A large amount of test data will be accumulated in the process of aero-engine model development.In order to make full use of these data,the IoTDB data management platform was selected to study the data cleaning and dimension increasing methods of aero-engine multi-source test data,and provide a distributed data platform architecture for multi-source data fusion.Through this platform,the efficient usage of data can be ensured to solve the problem of laborious and ineffective data processing and integration by manual means,and lay a foundation for subsequent data mining.
作者
陆超
李晓瑜
孙婧博
LU Chao;LI Xiaoyu;SUN Jingbo(Key Laboratory of Altitude Simulation Technology,AECC Sichuan Gas Turbine Establishment,Mianyang 621000,China;School of information and software engineering,University of Electronic Science and Technology of China,Chengdu 610054,China;Areo Engine Academy of China,Areo Engine Corporation of China,Beijing 101300,China)
出处
《燃气涡轮试验与研究》
2023年第3期38-42,共5页
Gas Turbine Experiment and Research
基金
国家财政稳定支持项目(GJCZ-0026-W1)。
