摘要
对于制造物联领域中持续产生的海量、多源、结构复杂的工业生产数据来说,具有数据量大、易堆积、分析处理困难以及难以可视化的特点。设计实现了一种弹性分布式的海量数据分析系统,以弹性分布式的大数据计算框架为核心,并采用模块化和层次化的系统设计,使其具有松耦合、易拓展及容错性强的特点。把该系统应用于某汽车零配件生产企业,实际应用效果表明,该系统可以很好地应对制造物联领域中的海量数据分析处理问题。
For the massive, multi-source and complex structure data in the manufacturing Internet of things, it has the characteristics of large amount, easy to accumulate, difficult to analyze and process as well as difficult to visualize. In view of the above problems, an elasticity-distributed massive data analysis system is designed and implemented with the core of massive data computing framework, adopting the system design of modularization and layering to make the system can be very good to deal with massive data analysis problem in the industrial internet of things, besides it has the following advantages： module division is clear, easy expansibility and fault tolerance. The practical application shows that the system works well when analyzing the massive data in manufacturing Internet of things.
出处
《计算机应用与软件》
2017年第7期55-60,共6页
Computer Applications and Software
关键词
制造物联
海量数据处理
分布式
数据分析系统
Manufacturing Internet of things Mass data processing Distributed Data analysis system
