The rapid development of Internet technology, networking, and emergence technologies has deeply impacted manufacturing. Moreover, the massive data being generated have increased tremendously. All of these factors have supported the transformation of the traditional manufacturing paradigm toward smart manufacturing. At present, the Industrial Internet of Things (IIoT) is an underlying platform for various smart manufacturers seeking an effective and powerful structure. Oil and gas is an industry affected by this transformation. This article discusses the role of data management in supporting the IIoT and smart manufacturing. It also proposes a taxonomy that classifies and categorizes the pillars of data management in the IIoT. It includes the basis of important parameters such as data sources, machine learning, performance management, business intelligent, and big data. In order to measure the role of data management in the IIoT, we consider Saudi Arabia as a case study for the IIoT, and review and explore the current challenges and potential future solutions. In addition, we propose an Internet of Things (IoT)-based reliable architecture for monitoring the flow of operations in the oil and gas industry.

中文翻译：

---

数据管理在工业物联网中的作用

互联网技术、网络化和新兴技术的快速发展对制造业产生了深刻的影响。此外，正在生成的海量数据大幅增加。所有这些因素都支持了传统制造范式向智能制造的转变。目前，工业物联网（IIoT）是各种智能制造商寻求有效和强大结构的底层平台。石油和天然气是受这种转变影响的行业。本文讨论了数据管理在支持 IIoT 和智能制造方面的作用。它还提出了一种分类法，对 IIoT 中数据管理的支柱进行分类。它包括数据源、机器学习、性能管理、商业智能，大数据。为了衡量数据管理在 IIoT 中的作用，我们将沙特阿拉伯视为 IIoT 的案例研究，并审查和探索当前的挑战和潜在的未来解决方案。此外，我们提出了一种基于物联网 (IoT) 的可靠架构，用于监控石油和天然气行业的操作流程。