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INDUSTRY 4 . 0 : LEGACY DEVICES INTEGRATION WITH OPC UA AND THE DIGITAL TWIN
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Resumo(s)
Over the years, the constant evolution of the industry has led to many advancements
in factories and manufacturing systems. The terms "Smart Factories" and "Smart
Manufacturing Systems" have been used to describe the latest wave of technological
innovations that have transformed how factories operate. One of these innovations
is the concept of the Digital Twin, which is a realistic virtual copy of a physical
object. This technology allows entire manufacturing shop-floors to be digitalized,
and physical processes to be tightly intertwined with their cyber counterparts.
The development of Digital Twins encompasses several challenges, including model
accuracy, security, and the integration of different devices and systems, including
interoperability and standardization across them. The goal of this work is to develop
key applications to support the implementation of Digital Twins in a Smart Factory
environment, by describing an example of the development of an Industry 4.0
enabling application for a legacy device, as well as the design of a Digital Twin for
a real industrial system from the ground up.
A key result of this work is a successful use case of creating a Digital Twin
for a quality control cell in the industry, using RobotStudio as the simulation
environment and OPC UA as the communication protocol between the devices in
the cell. The developed Digital Twin is capable of simulating the behaviour of the
devices in the cell, as well as performing the cell’s control logic. It is also capable
of storing historical process data, which could be analyzed and used to perform
process optimization.
Another relevant result is related to the use of a device’s Digital Twin to support
the development of an application, performing tests and validation, while eliminating
the need of accessing the real device. It shows that this technology can be used to
speed up development and reduce downtime of industrial devices, thus reducing
costs and improving the production process.
Descrição
Palavras-chave
Indústria 4.0 Fábrica Inteligente Gémeo Digital OPC UA