Inspiration
Digital twin technology creates virtual models of industrial assets by combining dynamic real-time sensing and visualization data. Some of the promising use cases of digital twins include model-driven design, virtual prototyping, virtual system validation, throughput optimization, and evolutionary design.
The use of digital twins is propelling industry 4.0 manufacturing towards hyper-automation. Digital twins provide valuable insights into all steps of the manufacturing process.
The US-based startup Gemius develops a digital twin solution for various industrial processes. The solution allows manufacturing facilities to standardize meticulous operation and maintenance practices to optimize output. The physics-constrained AI, which drives the Gemius digital twin, provides self-optimized design and operational intelligence. The digital twin utilizes SCADA systems to integrate with operational
data, historian software, sensor gateways, and enterprise asset management tools.
Turkish startup Simularge develops a patented approach for making digital twins without the requirement of big data.Usually, huge amounts of data are needed for making effective digital twins and ensure minimal under-utilization of input parameters. Simularge’s algorithms enable quick creation of digital twins and faster adaptation as it identifies and monitors for changes in the raw materials of the production process.
