Hybrid digital twin framework for optimizing food processing
A hybrid digital twin framework that integrates Aspen HYSYS with Azure cloud and AI to optimize food processing. The system leverages IoT sensors and a natural language interface to improve efficiency and product quality through real-time data analysis and multi-objective optimization.
Overview
The hybrid digital twin framework for food processing is designed to enhance efficiency, sustainability, and product quality by integrating Aspen HYSYS with Azure cloud services and AI technologies. This platform allows for real-time simulation of thermodynamic behavior during various food processing stages like heating and cooling, using IoT-enabled sensors. The system employs a natural language processing interface, enabling users to interact and query the digital twin for dynamic predictions and process adjustments, all without the need for manual data analysis or programming.
Technical specifications
Key features:
- Hybrid modeling: Combines Aspen HYSYS for physical–chemical simulations with Azure for real-time data processing and natural language interactions.
- IoT Integration: Sensors capture real-time data, enhancing process monitoring and predictive control.
- Natural language interface: Users can engage with the system through conversational queries, such as "What happens if I change temperature to 200°C?"
- Multi-objective optimization (MOO): Dynamically adjusts process parameters to optimize product quality and operational efficiency.
Technology readiness level
This technology is currently at TRL 6, indicating that the system has been demonstrated in a relevant environment. The planned 9-month development period includes further integration, calibration, and validation to ensure reliability and prepare for deployment in food processing facilities.
About Michigan Technological University
Michigan Technological University is a mid‑sized public technological research university known for hands‑on, industry‑engaged innovation and a strong applied research culture. Companies tap co‑op pathways and an embedded, multi‑year enterprise model to access talent while shaping solutions alongside faculty and students. Co‑located laboratories, pilot‑scale facilities, and instrumented field sites—including cold‑weather test ranges near campus, waterfront facilities on the Great Lakes, and a research presence in Southeast Michigan—enable validation from lab to operational environments. Research is supported by competitive awards from agencies such as the National Science Foundation, the Department of Energy, the Department of Defense, and NASA, alongside state and industry sponsors. A dedicated technology transfer office streamlines IP protection, sponsored research agreements, and startup formation for corporate collaborators.
delivered to your inbox.