Do you love to get a virtual glimpse of what can happen to your physical asset in the future?
Machines in the connected world no longer require a traditional operation manager or engineer’s toolbox. Our assets and systems have been technologically advanced, and so has the way we manage them. We need tools fuelled by digital disruption to meet the new realities of software-driven products.
Fortunately, the digital twin technology gives industries an unprecedented view of their product’s performance. There is no need for the operator and the product to be nearby or even in the same country!
What Is A Digital Twin?
‘Digital twin’ is a highly complex dynamic virtual representation designed to reflect a real object accurately. It is a digitalized duplicate that enables industries to have digital footprints at every phase of the product management life cycle. The virtual counterpart can display how your physical object performs in the real world.
Connected sensors generate data and information flow between real and virtual space. The real-time data enables industries to get the best possible physical product analysis and insights. The fundamental purpose is to model real-world systems’ behaviour to allow companies to make better decisions that impact the real world.
How does a digital twin work?
Representing the convergence of the physical and the virtual world, the digital twin updates itself with real-world data. Connected digital things map data from your physical asset to its virtual model. The generated information helps businesses analyze better and perform predictive analysis.
Digital twin technology runs simulations and uses machine learning to enable understanding and decision-making. The goal is to study performance issues and generate valuable insights. The developed possible improvements are applied back to the original physical object.
The digital twin technology incorporates Big Data, Artificial Intelligence (AI), Machine Learning (ML) and the Internet of Things. IoT business space, engineering and manufacturing industries use it predominantly, making it essential in industry 4.0.
Microsoft’s Azure Digital Twins cloud service provides an effective platform for creating digital twin models. Azure offers a rich set of features for describing its contents, including properties, components, inheritance, and more.
Digital Twin Predicts The Future!
Digital twin technology is crucial to help engineers and operators understand how products perform in the future. Connected sensors analyze data and make these predictions. The virtual model answers what-if questions and presents the insights intuitively. Engineers learn faster using this information, breaking down old product innovation boundaries.
Digital twin tool helps industries accomplish great deals.
- The digital thread can promote traceability by connecting disparate systems.
- Predictive analysis can refine assumptions and improve processes.
- The detailed and intricate view enables operators to troubleshoot far away equipment.
- They can manage linkage and complexities within systems-of-systems.
- The generated data gives early warnings to prevent downtime.
- They allow actual users to visualize products in use in real-time.
- Simulations allow industries to plan better outcomes for the future at lower costs.
Conclusion
The widespread usage of IoT has made the digital twin technology more accessible and cost-effective to businesses. Digital twin technology significantly impacts businesses in delivering a better customer experience. Many organizations have started using this technology to stay ahead of digital disruption and rapidly deliver their products.
