Energy optimization and predictive maintenance of an asphalt plant: A case study

Abstract

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.