The fusion of information from disparate sources of data is the key step in devising strategies for a smart analytics platform. In the context of the application of analytics in the process industry, this paper provides a framework for seamless integration of information from process and alarm databases complimented with process connectivity information. The discovery of information from such diverse data sources can be subsequently used for process and performance monitoring including alarm rationalization, root cause diagnosis of process faults, hazard and operability analysis, safe and optimal process operation. The utility of the proposed framework is illustrated by several successful industrial case studies.

来自不同数据源的信息融合是设计智能分析平台策略的关键步骤。在分析技术在过程工业中的应用情况下，本文提供了一个框架，用于无缝集成来自过程数据库和警报数据库的信息，并补充过程连接信息。从这些不同的数据源中发现的信息可以随后用于过程和性能监视，包括警报合理化，过程故障的根本原因诊断，危害和可操作性分析，安全和最佳的过程操作。几个成功的工业案例研究说明了所提出框架的实用性。