Siemens Energy (SE) is one of the leading companies with the focus on energy generation, transmission and distribution.  We offer products, solutions, and services across the entire energy value chain.  Digitalization opens up new opportunities within the energy business to secure competitive advantage providing advanced services and optimizing internal processes.  One of our main digitalization pillar is Internet of Things (IoT).  Realization of the industrial IoT based on MindSphere platform enables manufacturing process analytics and data-driven optimization

Multiple production sites within the SE manufacturing network are connected to MindSphere. Various production and testing facilities are sending real time data to the platform to be analyzed by conventional and custom developed applications to come closer to predictive maintenance planning, process stability assessment and product quality prediction.  The analytic applications do not only visualize the data; they deliver valuable information about machine utilization, process stability, product quality issues and maintenance using corresponding process models.  In particular, use of the Operations Insight, Visual Explorer and Visual Flow Creator apps help to create dashboards, data flows and notification services in very convenient and easy way with low-coding approach.  Several custom applications at the SE are focused on analysis of machine efficiency, planning of maintenance intervals based on machine utilization and automatic identification of critical process variations. First pilots are in development including machine learning (ML) models to extract added value out of the industrial data to improve manufacturing and business processes.