Dispersed data sources, incompatible data formats and a lack of non-ambiguous and machine readable meta-data are major obstacles in data analytics and data mining projects in process industries. Usually, meta-information is only available in unstructured format optimized for human consumption. This contribution captures common problems when handling data from process plants in analytics, develops the vision of a data collection process supported by a search tool, and describe a search tool for the heterogeneous plant data as a proof-of-concept.
['Benjamin Klöpper', 'Marcel Dix', 'Dikshith Siddapura', 'Luke T. Taverne']
Integrated search for heterogeneous data in process industry applications — A proof of concept