CAJ | 학술논문

随着复杂系统测试、试验和状态监测产生的数据呈级数增长，大数据逐渐成为各种工业领域的研究热点。为此，从大数据定义、产生、特性的角度阐述大数据的内涵，重点强调大数据产生三要素的彻底变革，并按照大数据处理流程———产生、存储、预处理、分析及挖掘、呈现，归纳得出大数据处理的通用技术体系，分析了技术体系中各环节技术的发展现状。最后，从数据科学、工业4．0以及信息物理系统的角度，阐述大数据发展的趋势，并分析了大数据发展的挑战。
수착복잡계통측시、시험화상태감측산생적수거정급수증장，대수거축점성위각충공업영역적연구열점。위차，종대수거정의、산생、특성적각도천술대수거적내함，중점강조대수거산생삼요소적철저변혁，병안조대수거처리류정———산생、존저、예처리、분석급알굴、정현，귀납득출대수거처리적통용기술체계，분석료기술체계중각배절기술적발전현상。최후，종수거과학、공업4．0이급신식물리계통적각도，천술대수거발전적추세，병분석료대수거발전적도전。
The large amount of data increases significantly in the tests, experiments and condition monitoring of com-plex system, the big data becomes the research hotspot in various industrial fields.Thus, connotation of big data is concluded from its definition, production and characteristics, etc.And this work also focuses on the three generation elements to show the inevitability and specialty of the era of big data.In accordance with the big data processing pro-cedures involving its production, storage, pretreatment, analysis, mining and presentation, this paper summarizes the universal technology framework for the big data processing.Moreover, the development status of technologies involved in the framework is also analyzed in detail.Finally, from the view of data science, industrial 4.0 and cyber-physical system, the trend and challenges are further explained.