文章基本信息

标题：Energy optimization and predictive maintenance of an asphalt plant: A case study
本地全文：下载
作者：Jean Welako ; Grâce N’cho ; Arsène Marta 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2022
卷号：353
页码：1-6
DOI：10.1051/e3sconf/202235302004
语种：English
出版社：EDP Sciences
摘要：This communication presents a real-life study dealing with energy optimization by using specific IoT devices in an industrial asphalt plant. The study is conducted by KANTENA TECHNOLOGIES. The objective is to demonstrate that collecting data from the plants is very valuable and useful for process optimization. The data recovered from sensors (IoT) allows us to develop a real-time supervision tool for the production system, in order to : (1) Monitor asphalt plant productions, (2) Track energy consumption and optimize its consumption, (3) Monitor the quality of service of the plant’s sensitive machines while offering predictive maintenance.