Smart Wastewater Treatment: Leveraging IoT for Efficient Aerator Control and Management

Industries encounter challenges in managing wastewater treatment systems, particularly in controlling aeration, which is vital for maintaining optimal oxygen levels for effective treatment. Frequent malfunctions in aerator control can lead to system damage and operational inefficiencies, impacting environmental compliance and increasing costs. To address these issues, this study examines the potential of an IoT-based monitoring system for aerators. The paper discusses specific IoT applications for aerator monitoring and explores enhancements in monitoring efficiency. The primary objective is to develop a system that maintains optimal oxygen levels by monitoring and controlling aerator operations. The system includes automatic notifications for oxygen level adjustments via the LINE application and manages data through Microsoft SQL Server for centralized storage. The methodology utilizes digital innovation and transformation techniques, integrating IoT technology through sensors, control boards, and Supervisory Control and Data Acquisition (SCADA) software, significantly enhancing monitoring and control efficiency. Automatic notifications facilitate timely issue resolution for operators, reducing their workload in wastewater management. Results indicate substantial improvements in system efficiency and operator workload reduction, highlighting the practical implications of this IoT solution for optimizing wastewater treatment processes in industrial settings.