By Don Wilcher – Artificial intelligence (AI) and machine learning (ML) are making major impacts in the healthcare, advanced manufacturing, agriculture, and consumer electronics vertical markets. The ability to predict behaviors and trends or classify objects based on physical traits is accomplished through AI and ML technologies. With the aid of an Internet of Things (IoT) infrastructure, a digital twin can be created.
Developing a digital twin requires the meshing of physical properties with an information communication technology (ICT) framework and software for data visualization. This data visualization represents real world events and characteristics of physical objects and processes.
In an industrial control process, the ability to monitor physical stimuli, such as temperature, pressure, vibration, and force, is important to the product manufacturer. Such physical stimuli affect the feel, function, and look of the manufactured product. To ensure the quality of the product meets the requirements of the customer, a specification is developed.
The traditional method of using specifications was based on building a physical prototype for testing and data collection. Continuous building of the target physical prototype to adjust the function of the product is costly and time consuming.
However, the digital twin can address functional concerns through a visual representation of the physical prototype. A digital twin is a virtual replica of the physical prototype. more>