Title: |
An Advanced Intelligent Monitoring and Controlling System of Wastewater Aerators using Fuzzy Logic Based on Internet of Things (IoT) |
Authors: |
Ir. I Made Mataram, I Komang Gede Sukarsa, I Made Suartika |
Source: |
International Journal of Latest Engineering Research and Applications, pp 01 - 06, Vol 11 - No. 07, 2026 |
Abstract: |
Wastewater treatment represents a major environmental and industrial challenge due to the need for sustainable pollutant removal and efficient resource management. The aeration machine plays a crucial role in maintaining sufficient dissolved oxygen for microbial degradation, yet its conventional manual operation typically around 11 hours per dayleads to inefficiencies and inconsistent process performance. This research proposes the design and development of an intelligent fuzzy logic–based control system integrated with the Internet of Things (IoT) to enhance the operational efficiency of wastewater aeration. The fuzzy logic controller (FLC) enables real-time adaptive decision-making to handle nonlinear and uncertain wastewater dynamics, while IoT provides continuous monitoring and remote control capabilities. Experimental results demonstrate that the proposed system optimizes aerator run time, reduces power consumption, maintains stable chemical oxygen demand (COD) and biological oxygen demand (BOD) levels, and improves effluent quality compared to manual operation. The integration of fuzzy logic and IoT contributes toward smart and sustainable wastewater treatment operations. |
Kaywords: |
Fuzzy logic, Internet of Things, Wastewater aeration, Intelligent control, Energy efficiency, Environmental sustainability. |
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