PANG Qian, YU Zhongqing, WANG Haiya. Data Resource Management Platform of Paper-making Mill Equipment Operation based on Hadoop[J]. International Journal of Plant Engineering and Management, 2019, 24(1): 44-51

Data Resource Management Platform of Paper-making Mill Equipment Operation based on Hadoop
PANG Qian, YU Zhongqing, WANG Haiya
Qingdao University, Shandong Qingdao 266000, China
Aiming at the ″Made in China 2025″ strategy proposed by the state and combining with the popular the Internet, Internet of things, big data, machine learning and other technologies, Hadoop-based open source framework is adopted to realize the equipment data resource management platform of paper-making mill equipment. In this paper, the main function module of the platform is introduced, and some of operational effect map from the C paper-making mill are shown, and the key technologies in the platform construction is studied. It proposal to combine the internet, the internet of things, big data and machine learning to improve the informatization of the paper-making mill equipment, and ensure production safety, optimize technological process, improve product competitiveness, and also provide the theoretical guidance and practical basis for constructing the similar projects.
Key words:    paper-making mill equipment    hadoop    big data    internet of things   
Received: 2018-10-11     Revised:
DOI: 10.13434/j.cnki.1007-4546.2019.0106
Corresponding author:     Email:
Author description: PANG Qian is a master, School of Data Science and Software Engineering, Qingdao University. His research interest is industrial big date.
YU Zhongqing is a researcher, School of Data Science and Software Engineering, Qingdao University. His research interests include predictive maintenance, intelligent manufacturing, industrial big data.
WANG Haiya is a master, School of Data Science and Software Engineering, Qingdao University. His research interest is industrial big data.
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YU Zhongqing
WANG Haiya

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