Sensors and actuators in gas turbines, trains or manufacturing collect data, monitor conditions, automate functions and optimize processes by utilizing the possibilities of the digital twin as well as consistent data models. Advanced algorithms, high-powered computing, better connectivity and cloud storage all facilitate the emergence of smart systems. Knowing how to leverage the respective opportunities, however, requires a unique set of skills. Siemens has the engineering, domain and digital know-how to generate performance improvements across the entire value chain, from design to production and operations to maintenance.
Digital simulation technology radically accelerates the plant design, the installation and commissioning as well as the entire product design and production planning process. Multiple products can be virtually compared, tested and assessed within a short period of time.
Multiple components in systems and plants can be intelligently networked to communicate with each other and exchange real-time data. The analysis of this data optimizes systems for improved flexibility, efficiency and resilience in response to unforeseen disruptions.
Machine learning makes complex systems more efficient without human intervention – through the use of data, high performance computing and advanced intelligent algorithms. Wind turbines, for example, can increase electricity output by comparing operating data with weather data and making necessary adjustments.
Digital services quickly detect and resolve issues. The intelligent analysis of operational data helps identify patterns and predict potential downtimes. Minimum downtimes boost reliability thanks to lifecycle services.
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