Web-Based Digital Twin
data must be generated from the continuous sensor values , which are calculated together with the models .
Depending on the sampling rate of the sensors , different measured values from different sensors and different time steps are combined to a coherent data set . The fusion with data that may not be captured by the asset , such as environmental values , must also be ensured . The use of a simulation data management system in the digital twin meets these requirements . Only through the central interface between models , sensor data and solver , an efficient sensor data-based simulation can be realized .
The current FMI technology is suitable for simulation on the server side and on external servers . Client-side simulation cannot be performed with the current state of the art , since no tools for integrating FMI technology are available for JavaScript .
Context 2
For internal and external communication , the developed web-based digital twin basically offers two interfaces . As shown in Fig . 5 , the digital twin uses both HTTP and OPC UA . For the bidirectional connection between the digital twin and the asset , the web-based digital twin |
Context 1 |
Context 3 |
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utilizes an OPC UA server , which enables a uniform , cross-industry interface .
All
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Fig . 6 : Possibilities of networking digital twins . |
accessible information and functions are |
available via this server and can be requested by a client . |
- 10 - March 2021