A digital twin leads to efficient production processes.
Greater efficiency with a digital twin
Digital twins are virtual, dynamic representatives that map a physical object Digital Twin or a Digital Process Twin in real-time, thus connecting the real and the virtual world. This networking of digital models and physical systems is possible thanks to the technological development of sensors and network systems.
Application areas of “digital twins”
We divide the application areas of digital twins into the four fields of descriptive, diagnostic, predictive and prescriptive analytics. These areas describe the reporting of past events up to the simulation and optimization of systems that do not yet exist.
Descriptive Analytics describes a static method for analyzing historical data in order to identify patterns or deviations and their effects on the future. The digital twin is the information base that is processed by data mining and visualized in dashboards
In this step, the information is analyzed, and comparisons are made with other data to clarify why something happened. The aim is to use data analysis to identify causes and effects, recognize patterns and analyze consequences. In this way, problems are examined in depth, and targeted solutions can be generated.
We understand predictive analytics to mean an expanded view based on the results of descriptive and diagnostic analyzes. With the help of predictive analytics, trends can be determined, deviations from normal values can be identified at an early stage, and future trends can be predicted based on data. Complex algorithms and modern software are used to apply data scientists, deep learning and machine learning algorithms to create forecasts.
Prescriptive analytics look one step further into the future. Recommendations for action are also generated here, such as influencing a specific trend in the desired direction, preventing a predicted event or reacting to future events. The aim is to understand or predict confusing, complex and economic relationships and to be able to develop and evaluate decision options from them.
The primary goal is to generate a cost reduction through the use of a “digital twin”. A “digital twin” supports the early detection of errors and ensures the smooth commissioning of production systems and buildings. Through virtual tests and simulations, we create a deep understanding of your company’s procedures and processes, help you monitor your systems sustainably, and generate a continuous increase in performance through permanent optimization of actual and target situations. In addition, predictive analytics are used to make meaningful forecasts about properties, performance and operating behaviour. Thanks to the digital twin, we can do this without affecting your company’s operational processes.
We’ll support you in developing a digital twin
- BIM Building Information Modeling
- VR Virtual Reality
- AR Argumented Reality
- Ablauf- und Materialflusssimulation (z.B. eM-Plant, Vistable)
- Data Mining & Data Science
Are you unsure whether your scenario justifies a digital twin from a cost perspective? Find out more in a non-binding first consultation.