Open AccessThe Research on Data Acquisition and Analysis Platform for Lathe Machine based on Stream Computing
Author(s) -
Taizhi Lv,
Juan Zhang,
Yong Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032060
Subject(s) - process (computing) , machine tool , manufacturing engineering , manufacturing , computer science , data acquisition , production (economics) , foundation (evidence) , data processing , engineering , industrial engineering , database , mechanical engineering , operating system , business , history , archaeology , marketing , economics , macroeconomics
Manufacturing industry is the main body of national economy, the foundation of building a country, the tool of rejuvenating a country and the foundation of a strong country. Lathe machine is the basis of manufacturing industry, which determines the level of intelligent manufacturing industry. This paper uses the real-time processing characteristics of stream computing to build a data acquisition and analysis platform for lathe machine. This platform monitors the efficiency of the equipment in real time, improve the utilization rate of the equipment, and improve the processing efficiency. The platform collects data in real time, analyses the data, and tracks the efficiency and process of the process, which is of great significance to optimize the process and improve production management.