Digital Twin

Flywheel Advanced Technology (FWAT) has been working deeply in a variety of industries, especially the food and beverage supply chain and smart property management. Accumulating ample experience and data from these two industries, FWAT further allocates R&D resources to strategically implement ‘digital twin’ technologies to provide ‘clairvoyant’ predictive analyses that can allow such businesses to operate better and more efficiently in the future.

Creating a ‘digital twin’ involves five core technologies: the IoT, cloud, data lake, extended reality, and artificial intelligence (AI). These technologies combine to help with the creation of digital representations, the collection and storage of real-time data, and provision of important insights based on the information gathered.

A digital twin can also utilise IoT and IT data as well as apply AI and data analytics to optimise performance in real-time. The process offers in-depth insights for the F&B business including kitchen output performance, storefront resource utilisation, potential risk by stock. For smart buildings, such technology provides insights for optimising sustainability, security, and building efficiency.

It is common to have different types of digital twins co-exist within a system or process. In smart buildings, they may be asset twins or system twins; whilst in F&B, it could be system twins and process twins. Through digital twin technology, FWAT expects its main revenue model to migrate from project-based to subscription-based, particularly to assist F&B and smart building businesses, in the long run.