ReDiMon - Realistic models for assembly plants
The use of modern planning, optimization, and commissioning methods currently often fails because of outdated or incorrect models. Although it is now standard practice for plants to be planned digitally and that a digital model exists at the time of completion, in reality not all adjustments made to the plant over its lifecycle are transferred to the digital model. Furthermore, such a planning model does not include information about wear or defects of the plant and its components. Often, reliable information for decisions regarding maintenance, troubleshooting, or reconfiguration of a plant is missing.
Objective
The objective of the ReDiMon research project is to create transparency about the current condition of assembly plants. For this purpose, a system is to be researched and implemented in order to digitally represent the plant's condition and update it automatically. In order to achieve this goal, on the one hand existing simulation models of the plant are compared with their real condition and updated accordingly. The focus here is primarily on changes to the equipment used or its positioning. On the other hand, plant and production data are analyzed and the findings obtained, such as the wear or condition of the equipment, are integrated into the digital model.
Solution concept
The solution concept comprises four main steps:
- Complete 3D acquisition of the current plant configuration using a suitable combination of sensor technology, such as 3D cameras or LiDAR scanners, and a carrier system
- Linking of individual 3D images to a point cloud of the plant (registration) as well as extraction of relevant information regarding the presence and position of the corresponding equipment using artificial intelligence methods
- Acquisition and analysis of plant and process data from the assembly line using suitable sensor technology and data analytics methods
- Comparison of the extracted information with the simulation model and the metadata stored in the PLM system as well as their updating
Consortium
The consortium consists of the Institute for Machine Tools and Industrial Management (*iwb*) of the Technical University of Munich and the companies Conti Temic microelectronic GmbH, mts Consulting & Engineering GmbH and Software Factory GmbH.