An automated data logger system for real-time monitoring and anomaly detection in industrial IoT environment

• Main Authors: Harum, Norharyati, Emran, Nurul Akmar, Md Fauadi, Muhammad Hafidz Fazli, Hamid, Erman, Md Khambari, Mohd Najwan
• Format: Article
• Language: English
• Published: Penerbit UTeM 2024
• Online Access: http://eprints.utem.edu.my/id/eprint/28431/2/4072; http://eprints.utem.edu.my/id/eprint/28431/; https://jamt.utem.edu.my/jamt/article/view/6798

In Industrial Internet-of-Things, a data logger must possess critical features such as real-time data acquisition, scalable storage capabilities, robust anomaly detection, and efficient dashboard integration for user-friendly monitoring, ensuring comprehensive data management and...