基于IoTDB的航空发动机试验数据清洗与升维方法  

Aero-engine test data cleaning and dimension increasing methods based on IoTDB

作　　者：陆超 李晓瑜[2] 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)

机构地区：[1]中国航发四川燃气涡轮研究院高空模拟技术重点实验室,四川绵阳621000 [2]电子科技大学信息与软件工程学院,成都610054 [3]中国航发航空发动机研究院,北京101300

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)。

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.

关 键 词：发动机试验 数据融合 数据清洗 数据升维 IoTDB 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]