How AI-based control systems drive smart factory productivity
01 March 2022
Today’s smart factories rely on industrial machinery that is faster and more flexible, to meet increasing requirements for productivity. Control systems play a growing role in pushing those boundaries and driving next-generation automation on the factory and warehouse floor.
The integration of artificial intelligence (AI) within the production environment has led to more advanced control systems and greater efficiencies, but it has also underscored the need for connection and communication across machines and devices, to unlock the full potential of Industry 4.0.
The rise of AI-based control systems
Control systems already work hard for industrial machinery and, with artificial intelligence, they can work smarter. AI speeds up the process of gathering historical data from the control system and generating simulations, providing a deeper level of understanding when it comes to the performance of components and the equipment overall. When these findings are linked with sensor data, manufacturers and warehouse operators can make more accurate predictions and optimise processes. This real-time, data-driven decision-making enables greater reliability and output, while reducing costly downtime, which is fundamental to realising the ideals of Industry 4.0.
While completely automated production might still be a distant goal for some companies, intelligent control systems bring them one step closer to that reality.
Read the full article in the March issue of DPA
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