Nanyang Polytechnic (NYP)
Data is at the centre of modern decision making. Digital twins, which basically are real-time replications of a physical asset, a manufacturing floor – or in this case, a building, can be used to run analyses. These could be about energy consumption, how efficient processes are, whether there are logjams in the production process or in people.
Currently many buildings in Singapore are used ‘as is’ with a lack of analytical data that can be used to analyse sustainability considerations such as improvements in energy and water usage in tandem with user-behaviours and indoor environmental conditions.
With the NYP-Anacle Digital Twin research project, both organisations aim to build a system that can be prototyped and applied to buildings for such analysis.
This project aims to go beyond the analysis of environmental/IAQ-to-energy usage, but focus on the capturing and monitoring of human-centred/user behavioural data through the Digital Twin to inform / provide insights to human-centred design strategies. The Project will leverage on AI technology to learn from the acquired data and be used to predict the energy, process or people flows through data simulations.
Ar. Ron Tang
Lecturer, Nanyang Polytechnic
Mr. Xavier Tay
Principal Consultant (Digital Twin), Anacle