Data Exchange Logistics in Engineering Networks Exploiting Automated Data Integration

Abstract

Data exchange and integration in an engineering network are challenges that each engineering organization has to solve. Most practioners have realized that these challenges require detailed consideration and involvement of the engineering disciplines involved. However, these engineering disciplines usually do not speak the same language. Thus, a data exchange logistics is required overseeing the complete engineering network and ensuring proper data transformation between the disciplines. This data logistics requires automated mapping and integration of engineering data, following the VDI Guideline 3695. In this paper, we introduce a methodology to set up such a data logistics and envision a new role, the engineering data curator, responsible for the necessary knowledge management within this methodology. Following the technical background of the authors, the methodology is presented and validated in a proof of concept using AutomationML.