Optimizing Energy Efficiency for Industrial Enterprise Buildings & Offices

Optimizing Energy Efficiency for Industrial Enterprise Buildings & Offices

Explore Yokogawa's EEMS revolutionizing energy efficiency in industrial buildings, recognizing their substantial impact on global energy consumption and CO2 emissions. This blog delves into EEMS's digital prowess for optimizing energy dynamics through real-time monitoring and a centralized platform. Uncover insights into smart meters, sensors, and communication protocol challenges and solutions.

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Digital Asset Management

Digital Asset Management

Perhaps the most common application of machine learning in the process industries is to support predictive maintenance. Anomaly detection is widely used to identify equipment performance degradation much earlier than using traditional condition monitoring systems and data analytics. However, the use of artificial intelligence to improve reliability and reduce maintenance costs is still in its infancy.

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