Digital Twins: What Are They and How Do They Work?
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How Do Digital Twins Work?
A digital twin can be as complex or as simple as you require it to be. The amount of data that you use determines how the model represents the real-world physical version.
There are three different types of digital twin:
Digital Twin Prototype (DTP)
The DTP is a digital twin implemented before a physical product is created. It consists of the designs, analyses, and processes required to create the physical version of a product.
Digital Twin Instance (DTI)
The DTI is the digital twin designed for a product that’s already manufactured. It stays linked to the physical object throughout its life cycle to run tests on different use cases.
Digital Twin Aggregate (DTA)
The DTA is the aggregation of many DTIs. It helps gather the information that helps determine the capabilities of a physical product under various conditions.
Why Are Digital Twins Important?
Businesses are under mounting pressure to overcome the challenges in today’s ever-changing market landscapes. By introducing digital twins, you can gain valuable insights by exploring the relationship between interrelated data sets of the physical and digital systems.
In addition to this, digital twins can provide you with several benefits such as:
- Optimizing manufacturing processes while reducing the risk of accidents and unplanned downtime.
- Enhancing efficiency to reduce product quality issues.
- Using predictive maintenance to sustain equipment and facilities.
- Testing and validating assumptions.
- Troubleshooting equipment remotely.
- Improving productivity and creating more efficient supply chains.
- Training employees to handle equipment that isn’t physically close.
- Improving customer experience and helping you gain better insights on product performance.
- Eliminating the need for multiple prototypes and reducing total development time.
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