Digital Twins of the Water Cooling System in a Power Plant Based on Fuzzy Logic

Article Automation & Control Systems

Toward a Web-Based Digital Twin Thermal Power Plant

Zhongcheng Lei et al.

Summary: This article introduces the methodologies and techniques towards a web-based digital twin thermal power plant, exploring the architecture, modeling, control algorithm, rule model, and physical-digital twin control. The potential functionalities of the web-based digital twin including real-time monitoring, visualization and interactions, and provided services for physical thermal plants and universities are also presented. A case study has been proved to illustrate the web-based digital twin power plant.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

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Article Chemistry, Analytical

Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Mahmoud Elsisi et al.

Summary: The modern control infrastructure is crucial for managing and monitoring communication between smart machines in industrial environments like smart grids. Cyber-physical systems play a key role in the fourth industrial revolution, known as industry 4.0, utilizing embedded software and IoT to control smart machines. However, challenges such as reliability and security are faced in implementing industry 4.0, making it essential to establish new infrastructure, like machine learning algorithms, for data analysis and monitoring to ensure data authenticity and address issues like data loss and inefficiency caused by external factors.

SENSORS (2021)

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Article Automation & Control Systems