The Internet of Things (IoT) and the related terms, Smart Manufacturing, Cyber-Physical Systems, and Industry 4.0, attract significant interest in the chemical manufacturing industry. Such technologies, which include in-Cloud data storage, large scale computation, advanced control, enterprise-wide-optimization, and machine-learning, offer opportunities for improved production management, rapid proto-typing, and lower cost. This paper describes the application and proof of concept (POC) of the Vitro base-architecture for Smart Manufacture. Benchmarking against current technology showed that the engineering time required for data reconciliation, rectification, and standardization is significantly reduced. Instead of spending 80% of their efforts on such activities, process engineers and data scientists started to spend most of their time on real-time process analysis and decision making. The cloud-based architecture used to support the development was developed under a cooperative project between Vitro and Microsoft. The architecture can be applied to other industry sectors, such as the chemicals, petro-chemicals, pharmaceutical, agricultural, and metallurgical industries. The current paper describes the data management component of the project. It describes the standardized storage formats used for uniform display of rectified process data in engineering units. We found that the MS Azure based system provides operators, process engineers, and managers alike, the data needed to run the process at or close to optimal conditions minute by minute, day by day, and week by week as product portfolios and markets change. In a follow-up paper we will describe how the approach facilitates application of APC such adaptive MPC, real time optimization, and adaptive decision-making.

物联网 (IoT) 和相关术语、智能制造、信息物理系统和工业 4.0 吸引了化学制造行业的极大兴趣。此类技术包括云端数据存储、大规模计算、高级控制、企业范围优化和机器学习，为改进生产管理、快速原型设计和降低成本提供了机会。本文描述了用于智能制造的 Vitro 基础架构的应用和概念验证 (POC)。对当前技术的基准测试表明，数据协调、纠正和标准化所需的工程时间显着减少。与其将 80% 的精力花在此类活动上，流程工程师和数据科学家开始将大部分时间花在实时流程分析和决策上。用于支持开发的基于云的架构是在 Vitro 和微软之间的合作项目下开发的。该架构可应用于其他行业，例如化工、石化、制药、农业和冶金行业。当前论文描述了该项目的数据管理组件。它描述了用于在工程单位中统一显示修正过程数据的标准化存储格式。我们发现基于 MS Azure 的系统为操作员、过程工程师和管理人员等提供了在或接近最佳条件下运行过程所需的数据，每一分钟，每一天，随着产品组合和市场的变化，每周都在变化。在后续论文中，我们将描述该方法如何促进 APC 的应用，例如自适应 MPC、实时优化和自适应决策。