YOKOGAWA Electric Corporation is making waves in the industrial sector with its cutting-edge AI-based solutions designed to enhance plant control and operational efficiency.
The company’s innovations harness deep learning algorithms to continuously adapt and optimise processes in real time. This shift not only boosts safety and reliability but also leads to significant cost reductions, marking a transformative step towards autonomous industrial operations.
In an exclusive interview with OGN energy magazine, Norinao Sato, CEO of Yokogawa Middle East & Africa, says the company is expanding its AI capabilities, particularly within the oil, gas, and chemicals industries, and it is poised to significantly enhance productivity while ensuring compliance with stringent safety standards.
Below are excerpts from the interview:
• Yokogawa has rolled out several AI-based solutions to improve plant control. Could you elaborate on how these innovations differ from traditional automation systems and their impact on safety, reliability, and cost reduction?
Unlike traditional automation systems that are reactive and rely on predefined control parameters, Yokogawa’s AI-based solutions use deep learning algorithms to continuously learn and more proactively adjust processes to prevent deviations, even in highly complex systems.
These AI systems are more adaptive and able to optimise operations beyond human capabilities, and significantly enhance process safety and reliability.
The shift towards AI-driven autonomous control reduces human intervention, thereby minimising errors and downtime, and cutting operational costs.
• With Yokogawa’s expanding AI capabilities, particularly in sectors like oil, gas, and chemicals, how are these solutions enhancing productivity and compliance with stringent safety standards?
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