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Chemcial Industry and Engineering 2022, Vol. 39 Issue (2) :37-40,49    DOI: 10.13353/j.issn.1004.9533.20210401
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Application of big data monitoring system in intelligentization of factory
HAN Chengyu1, LU Zheng1, XU Mingyang2, MA Fangyuan1, WANG Jingde1, SUN Wei1
1. College of Chemical Engineering, Beijing university of chemical technology, Beijing 100029, China;
2. Sinochem Quanzhou Petrochemical Co., Ltd, Fujian Quanzhou 362103, China

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Abstract In view of some common problems existing in the existing information systems of chemical enterprises, a big data monitoring system was designed and developed on the basis of the existing information architecture. The big data monitoring system integrates many relatively isolated information systems, introduces advanced big data analysis algorithms and strategies, provides guidance for production and operations, and will become an important part of intelligentization of the factory. The intelligent data gateway in the system can access DCS (Distributed Control System) real-time data, historical data, laboratory test data and other data sources in a unified way; The data dispatching center standardizes the interaction between subsystems, and enhances the flexibility of business expansion and data application. Knowledge fusion library combines data-driven technology, and can accumulate the operation experience of engineers. The system also provides an open secondary development interface, which supports the customized development of algorithm modules. The above-mentioned system has been put into production in a petrochemical enterprise, running stably, providing timely and accurate operation guidance for field engineers, and being fully recognized by users.
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Articles by authors
HAN Chengyu
LU Zheng
XU Mingyang
MA Fangyuan
WANG Jingde
SUN Wei
Keywords： process monitoring；   data driven；   intelligent manufacturing technology     
Received 2021-08-03;
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HAN Chengyu, LU Zheng, XU Mingyang, MA Fangyuan, WANG Jingde, SUN Wei.Application of big data monitoring system in intelligentization of factory[J]  Chemcial Industry and Engineering, 2022,V39(2): 37-40,49
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