Open Platform for Digital Manufacturing

This program aims to create an open platform supporting the development of Digital Twins and AI/ML-based solutions. The platform will include tools for Digital Twin composition, AI/ML management, and seamless computing across different environments.

Aims:

  • Leverage the Knowledge Graph Management Framework (KGMF) to integrate AI/ML models.

  • Develop a programming framework for composing Digital Twins and AI/ML models.

  • Extend work on creating cost-efficient DM solutions from Digital Twin models.

  • Support standardised protocols and semantic data structures in the framework, reducing integration costs and increasing vendor interoperability.

Outcomes:

  • The program will deliver an innovative framework for optimised production planning and seamless integration of Digital Twins and AI/ML models, enhancing vendor interoperability.

Program Leader: Prof. Albert Zomaya

Project 1 – Blockchain-based Digital Twin Implementation

As part of an initiative to enhance operational transparency, security, and data integrity in industrial processes, InnoLabs seeks to implement a blockchain-based secure Digital Twin (DT) solution. The goal of this project is to create a secure, tamper-proof, and real-time digital replica of physical assets, processes, or systems, integrated with blockchain technology for traceability, data validation, and real-time monitoring. This solution will be applied across critical assets in InnoLabs’ customers’ operations, including manufacturing equipment, supply chains, or infrastructure.

Personnel Name, Project Party
Project Leader Albert Zomaya, UNIVERSITY OF SYDNEY
Program Leader (Academic) Albert Zomaya, UNIVERSITY OF SYDNEY
Partner Investigator Andrew Dong, AUSTRALIA INNOVATION LABORATORIES PTY LTD
Project Personnel Kanchana Thilakarathna, UNIVERSITY OF SYDNEY

Wei Li, UNIVERSITY OF SYDNEY

Archie Chapman, UNIVERSITY OF QUEENSLAND

Lily Li, SWINBURNE UNIVERSITY