Digital Twin: Driving revolutionary gains in asset-centric world
Digital twins’ ability to pair virtual and physical world enables system monitoring to predict and mitigate asset breakdowns. This analytical, monitoring and predictive capabilities has made digital twin pervasive across industries.
Digital twin provides an integrated outlook of any physical product to optimize the key operational metrics of any complex system. Some of the major metrics include:
- Operating cost reduction
- Asset lifetime extension
- Failure prediction of equipment tools and overall assets
- Enhancement of design through continuous feedback
Asset-centric organizations leverage digital twin to pave road for efficient optimization and business transformation.
- Automakers use digital twin to visualize and predict the lifetime of a car engine at a component level. For e.g. predicting the burn out of a piston head using virtual analysis.
- Philips built CT scanners using digital twin that can generate 800k log messages enabling healthcare staff with fast anomaly detection and thereby effective treatment.
Service providers are helping enterprises develop the virtual replicas and the use-cases for asset lifetime and operational optimization.
- TCS IP2™ is an excellent power plant solution that provides real-time data for asset optimization and failure prediction to curb maintenance and operational costs by ~3%.
- Infosys digital twin partnership enables GE to identify airplane’s landing gear failures and other key components with warning alerts. This helped GE optimize fuel consumption and increase safety leading to 90% production efficiency.
Over the next decade, millions of physical systems will have a digital twin representation. These representations will enable new digital collaborations to understand the product, process and service enhancements thereby leading to high business returns. Service providers play the technology enabler role for organization to scale the replication of physical systems in virtual world.