Digital Twin And Predictive Quality Solution For Insulated Glass Machine (DTPQS4IG)

DTPQS4IG project aims to create a Predictive Quality tool with Digital Twin functions for Insulated Glass Machines. Insulated glasses are vital for sustainable building by reducing emissions. The emission reduction performance of the products is directly related to the gas filled in the insulated glasses. With that project, we make 100 % quality control of gas filling process by analyzing the IIoT data collected over machine controller and show the results to manufacturing operation over a digital twin.


Information source: Digitbrain


CMS Makine Sanayi Ve Ticaret Anonim Şirketi (Turkey), Simtera Bilişim İletişim Teknolojileri Limited Şirketi, DIGIT DIH (Denmark)




Glass, emissions, gas,