Generating plant data and imparting it with context is the first step in many digital transformation projects. High-integrity data can be used to build soft sensors, which can reveal process insights.
Industry 4.0 has revolutionized the way that companies use data and automation in manufacturing. Companies in the chemical process industries (CPI) in particular are modifying and updating their existing technologies to take advantage of the massive quantities of data generated by their facilities. Breaking data silos, curating data by asset, and connecting these results in new, meaningful ways can unlock significant value for small and large organizations alike. Model-based analytics software for process simulation is one technology that promises to help solve operational problems as they occur. Many companies today are embarking on digital transformation projects to harness their data and use it to leverage powerful simulation projects.
This article discusses how process data is traditionally generated and used, how data gains integrity, how to deploy analytics to gain insight, and how to use analytics tools to build soft sensors that can deepen process insight...
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