IEEE Trans Cybern. 2017 Jan;47(1):81-92. doi: 10.1109/TCYB.2015.2507599. Epub 2016 Jan 12.
"Big data" is an emerging topic and has attracted the attention of many researchers and practitioners in industrial systems engineering and cybernetics. Big data analytics would definitely lead to valuable knowledge for many organizations. Business operations and risk management can be a beneficiary as there are many data collection channels in the related industrial systems (e.g., wireless sensor networks, Internet-based systems, etc.). Big data research, however, is still in its infancy. Its focus is rather unclear and related studies are not well amalgamated. This paper aims to present the challenges and opportunities of big data analytics in this unique application domain. Technological development and advances for industrial-based business systems, reliability and security of industrial systems, and their operational risk management are examined. Important areas for future research are also discussed and revealed.
“大数据”是一个新兴的课题，已经引起了工业系统工程和控制论领域许多研究人员和从业者的关注。大数据分析肯定会为许多组织带来有价值的知识。由于相关工业系统中有许多数据收集渠道（例如，无线传感器网络、基于互联网的系统等），因此业务运营和风险管理将是受益者。然而，大数据研究仍处于起步阶段。其重点还不够明确，相关研究也没有很好地融合。本文旨在展示大数据分析在这个独特的应用领域中的挑战和机遇。本文研究了工业业务系统的技术发展和进步、工业系统的可靠性和安全性，以及它们的运营风险管理。还讨论并揭示了未来研究的重要领域。
