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Big Data for Operator Support in Chemical Plants

February 13, 2018

Driven by the development of the Internet and IoT, the amount of data we are generating every day has exploded in the last few years. Therefore, big data analytics has become increasingly important for many companies trying to mine data to better understand their business and make better decisions. Industrial companies are no exception. Industrial automation has led to plants being increasingly IT-centric and data-intense. Today, a typical process plant like a paper mill, a hot-rolling mill or a petrochemical plant generates a large amount of data throughout its entire life-cycle: e.g. measurement values, alarm and event logs, shift book logs, laboratory results, piping and instrumentation diagrams (P&ID).

Spotlight

QIAGEN

QIAGEN is the leading global provider of Sample to Insight solutions to transform biological materials into valuable molecular insights. QIAGEN sample technologies isolate and process DNA, RNA and proteins from blood, tissue and other materials. Assay technologies make these biomolecules visible and ready for analysis. Bioinformatics software and knowledge bases interpret data to report relevant, actionable insights. Automation solutions tie these together in seamless and cost-effective molecular testing workflows. QIAGEN provides these workflows to more than 500,000 customers around the world in Molecular Diagnostics (human healthcare), Applied Testing (forensics, veterinary testing and food safety), Pharma (pharmaceutical and biotechnology companies) and Academia (life sciences research).

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Big Data for Operator Support in Chemical Plants