Increasingly modern industrial environments have become more complex, where different machines, sensors, software systems work together, and produce ongoing flows of operational data. There are several ways to address the challenge, and one of them is the use of digital twins.
Digital twins are virtual images of a physical item, process, or system. They are meant to reflect real-life situations through the use of live or near-live data, allowing to monitor, analyze and simulate processes in the digital realm.
What Are Digital Twins?
In simple terms, a digital twin is a connection between a physical item and a dynamic digital model, that updates itself according to the data gathered from sensors, IoT devices, industrial control systems and others.
Digital twins can be:
- A certain machine or part of it
- A manufacturing line or manufacturing cell
- An entire factory or industrial site
- A distributed network of supply chains
Unlike simulation models that are static and based on assumptions, digital twins develop alongside their counterparts in reality.
How Digital Twins Operate
The usual digital twin technology includes a feedback loop:
Physical asset → Data gathering → Digital model → Analysis → Knowledge → Action
Data from sensors built into equipment provides information about physical conditions such as temperature, vibration, pressure, speed, and levels of output. The information is sent to a digital model which represents the present state of the system.
After updating the model, analytics and AI may be used to:
- Detect performance abnormalities
- Model operational processes
- Predict maintenance needs
- Optimize production workflows
- Increase the efficiency of the system
Then the findings can be used to make an informed decision.
Importance of Digital Twins
With digital twins, an organization gets the chance to try out different decisions within a simulation environment before implementing them in reality. Thus, a company may model its production speed or the setup of the machines to see how it will affect the efficiency, consumption of energy, and lifespan of the equipment.
This capability allows avoiding any possible risks and making decisions faster.
Benefits of Digital Twins
Some of the key benefits of digital twins include the following:
- Increased visibility
- Enhanced predictive maintenance
- Decreased downtime
- Efficient resource allocation
- Identification of operational problems
Conclusion
The digital twin can be thought of as the link between operations in the real world and digital intelligence. Digital twins keep on updating themselves with information about the real world, allowing companies to shift from being reactive to proactive and predictive in their decision-making processes.
With further development of industrial systems, digital twins will become increasingly crucial for turning data into insights. For more information, visit Aperture Venture Studio.
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