Prof. Jie Bao (in collaboration with Prof Biao Huang) was awarded a new Discovery Project, starting 2021, to develop a novel big data-driven approach for modern chemical processes.
Prof. Jie Bao (in collaboration with Prof Biao Huang) was awarded a new Discovery Project, starting 2021, to develop a novel big data-driven approach for modern chemical processes.
This is the 10th ARC Discovery Projects (formerly ARC Large Grants) that Prof Jie Bao has won. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use big process data to enhance process operations.
Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data.
The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.