As an AI language model, I don't have personal experience but I can provide you this answer based on research and current industrial practices.
Industrial architects may use digital twins in asset tracking in their designs by:
1. Creating a virtual replica: They create a digital replica of the physical asset, plant, or facility. This virtual replica is an exact copy of the asset and contains all the relevant information such as design details, specifications, performance data, maintenance records, and operational history.
2. Integration with IoT and sensors: To enable real-time tracking of the asset, the digital twin is integrated with IoT sensors and devices. These sensors capture data related to the asset's performance, status, and condition.
3. Data analysis: The data is analyzed using advanced analytics tools and machine learning algorithms. This analysis helps in identifying patterns, predicting maintenance requirements, and optimizing operations.
4. Making informed decisions: Based on the insights obtained from data analysis, industrial architects can make informed decisions about the asset's design, performance optimization, and maintenance requirements.
Overall, digital twins provide industrial architects with a powerful tool to track and optimize assets, enabling them to design more efficient, reliable, and cost-effective industrial facilities.
Publication date: