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.
this contribution presents a novel approach for the automatic generation of simulation models for existing plants. The aim is to focus on brown-field projects for which the automation system has to be renewed. Whereas most research approaches for simulation based control code testing focus on green-field projects, the authors developed a method that considers the type of planning, as well as engineering data, which is given in brown-field projects. In addition, a prototype has been implemented. The paper presents the validation results of a first field study on a North Sea oil production plant - one of the largest oil discoveries in the UK North Sea.
We report enhancement of the mechanical stability of graphene through a one-step method to disperse gold nanoparticles on the pristine graphene without any added agent.