An Asset Maintenance solution leveraging Azure IOT Hub, Device Twin and Azure functions
Solution Overview:
Wipro's Digital Twin is a logical extension of Predictive Asset Maintenance (PAM) solutions. With a twin, it is possible to build a virtual version of an asset where data and predictive insights can be overlaid on the asset to provide meaningful and rich insight to the maintenance staff. This Solution is a combination of a fan and CPU. As soon as heat increases beyond a certain threshold, the fan will start automatically and vice versa.
This solution in real-time is connected to actual hardware as well as the simulated version of the assets to demonstrate the features. This solution has used Azure’s out-of-the-box services like Azure IOT Hub, Device Twin, Azure functions, etc. integrated with Custom Model designed and developed by Wipro’s Data Science Team.
Key Features:
Wipro's Digital Twin is a logical extension of Predictive Asset Maintenance (PAM) solutions. With a twin, it is possible to build a virtual version of an asset where data and predictive insights can be overlaid on the asset to provide meaningful and rich insight to the maintenance staff. This Solution is a combination of a fan and CPU. As soon as heat increases beyond a certain threshold, the fan will start automatically and vice versa.
This solution in real-time is connected to actual hardware as well as the simulated version of the assets to demonstrate the features. This solution has used Azure’s out-of-the-box services like Azure IOT Hub, Device Twin, Azure functions, etc. integrated with Custom Model designed and developed by Wipro’s Data Science Team.
Key Features:
- End to End connection and control: All hardware temperature censures are connected and controlled by the solution with 3D Visualization containing 360 Degree Rotation
- Real-time Simulation: Simulation of temperature can be done to observe fan behavior
- What If Condition: User can provide own value and check the behavior
- Dashboard: Dashboard provides a complete view and report of the process
Cross-Industry Use Cases:
- Manufacturing - Shop floor performance improvement, Self-driving car development, Design customization and Predictive Maintenance
- Energy - Use to optimize the operations and maintenance of Physical assets, Systems and Production process
- Retail - Customer Modeling and Simulation
- Healthcare - Improving efficiency of hospital operations and improving personalized care
- Supply Chain - Predicting the performance of packaging materials, optimizing warehouse design and creating a logistics network
https://store-images.s-microsoft.com/image/apps.63874.63d38392-6540-4559-ac38-8dab35e2eb3d.cc4f2cc1-cf7c-4265-a21e-518145fe324a.423ef3f9-5a4f-46de-9712-5bd39203f6c4
https://store-images.s-microsoft.com/image/apps.63874.63d38392-6540-4559-ac38-8dab35e2eb3d.cc4f2cc1-cf7c-4265-a21e-518145fe324a.423ef3f9-5a4f-46de-9712-5bd39203f6c4
https://store-images.s-microsoft.com/image/apps.3729.63d38392-6540-4559-ac38-8dab35e2eb3d.cc4f2cc1-cf7c-4265-a21e-518145fe324a.065f2288-e938-45af-905b-cb45ff74cc36
https://store-images.s-microsoft.com/image/apps.29117.63d38392-6540-4559-ac38-8dab35e2eb3d.cc4f2cc1-cf7c-4265-a21e-518145fe324a.77d996d6-4c5e-4d38-a2e8-f5c753fb8b11