Process data analytics

流程数据分析

• 批准号: RGPIN-2017-04012
• 负责人: Shah, Sirish
• 金额: $ 3.42万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638316
• 关键词: Process; data; analytics

The fusion of information from disparate sources of data is the key step in devising strategies for the foundation of a smart analytics platform. In the context of application of analytics in the process industry, this grant proposal is to develop a theoretical framework and a tool for seamless integration of information from process and alarm databases complimented with process connectivity information.

融合来自不同数据源的信息是为智能分析平台的基础设计策略的关键步骤。在过程工业中应用分析的背景下，这项拨款提案旨在开发一个理论框架和一个工具，以无缝集成来自过程和警报数据库的信息，并补充过程连接信息。