Abstract
Background: Data volume and multitude of sources have experienced exponential growth in manufacture process and are facing with the challenge of Industry 4.0.
Objective: The purpose of this study is to provide an overview about the recent patents on big data in process control systems and explain how big data technique settles the problems in different manufacturing processes.
Methods: The research method and patent analysis are employed for use in this study.
Results: Current and future developments of the patents on big data in process control systems are finally provided to improve the current process control systems and big data technique applications.
Conclusions: It is suggested that future work should focus on developing big data algorithms appropriate for manufacturing operations, combination of modern and traditional information techniques, models for manufacturing supply chain collaboration, models for data collection and generation based on more powerful big data devices, and new data skew handling methods.
Keywords: Big data, control system, data mining, industry 4.0, manufacturing, process control.
Recent Patents on Mechanical Engineering
Title:Current Status, Future Developments and Recent Patents on Big Data Technique in Process Control Systems
Volume: 9 Issue: 2
Author(s): Yin Huang, Ying Xu, Xiaoping Fang and Bo Wei
Affiliation:
Keywords: Big data, control system, data mining, industry 4.0, manufacturing, process control.
Abstract: Background: Data volume and multitude of sources have experienced exponential growth in manufacture process and are facing with the challenge of Industry 4.0.
Objective: The purpose of this study is to provide an overview about the recent patents on big data in process control systems and explain how big data technique settles the problems in different manufacturing processes.
Methods: The research method and patent analysis are employed for use in this study.
Results: Current and future developments of the patents on big data in process control systems are finally provided to improve the current process control systems and big data technique applications.
Conclusions: It is suggested that future work should focus on developing big data algorithms appropriate for manufacturing operations, combination of modern and traditional information techniques, models for manufacturing supply chain collaboration, models for data collection and generation based on more powerful big data devices, and new data skew handling methods.
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Cite this article as:
Huang Yin, Xu Ying, Fang Xiaoping and Wei Bo, Current Status, Future Developments and Recent Patents on Big Data Technique in Process Control Systems, Recent Patents on Mechanical Engineering 2016; 9 (2) . https://dx.doi.org/10.2174/2212797609666160413161049
DOI https://dx.doi.org/10.2174/2212797609666160413161049 |
Print ISSN 2212-7976 |
Publisher Name Bentham Science Publisher |
Online ISSN 1874-477X |
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