Digital Twin
What is Digital Twin
A digital twin refers to a virtual replica of a physical object or system. It is created using data from sensors and other sources, and can be used to simulate and analyse the performance of the physical object or system in real-world conditions.
What is needed to achieve Digital Twin?
Physical Asset
A digital twin represents a physical asset or system, such as a machine, a building, or a manufacturing process.
Sensors for Data Collection
Sensors are needed to collect data from the physical asset or system. This data can include information about the asset's performance, condition, and environment.
Data Processing & Analysis
The data collected by sensors needs to be processed and analysed to create a digital model of the physical asset or system. This involves using algorithms and machine learning techniques to identify patterns and relationships in the data.
Virtualisation & Modelling Software
Once the digital model has been created, it needs to be visualised and analysed. Specialised software is used to create a 3D model of the physical asset or system, which can be interacted with and explored.
Integration with Other Systems
To fully leverage the benefits of a digital twin, it needs to be integrated with other systems such as manufacturing execution systems (MES), enterprise resource planning (ERP) systems, and other digital tools.
How we do it
Achieving a digital twin requires a combination of hardware, software, and data analytics expertise to create a virtual replica of a physical asset or system, allowing for real-time monitoring, analysis, and optimisation. OptoAsia combines sensors, automation solution and visualisation software to achieve customers’ Digital Twin needs.