Defining software architectures for big data enabled operator support systems

Big Data technologies enable new possibilities to analyze historical data generated by process plants. One possible application is the development of new types of operator support systems (OSS), which could help plant operators during operations in identifying and dealing with critical situations. The project FEE has the objective to develop such support functions based on Big Data analytics of historical plant data. In this contribution we describe our approach to define software architectures for Big Data enabled OSS in industrial plants.