Development of a Multi-Sensor Fuzzy Logic-Based Automatic Water Gate Control System for Real-Time Biodiesel Oil Leak Monitoring
DOI:
https://doi.org/10.64780/jeims.v2i1.18Keywords:
Automatic Water Gate Control, Fuzzy Logic, Industrial Wastewater Monitoring, Multi-Sensor Integration, Real-Time MonitoringAbstract
The rapid growth of the biodiesel industry has contributed to economic development but has also increased the risk of environmental pollution caused by oil-contaminated industrial wastewater. Conventional wastewater control systems generally rely on manual monitoring, resulting in delayed detection and ineffective responses to oil leakage incidents. This study aimed to develop a multi-sensor fuzzy logic-based automatic water gate control system for real-time biodiesel oil leak monitoring. The proposed system employed an Arduino Uno microcontroller integrated with a TCS34725 color sensor, a turbidity sensor, and an HC-SR04 ultrasonic sensor to detect oil contamination, water turbidity, and water level, respectively. A Sugeno fuzzy logic algorithm was implemented to process sensor data and automatically control the water gate and pump operation based on predefined decision rules. Experimental results showed that the TCS34725 sensor successfully distinguished water and biodiesel oil, with red (R) values of 44–47 for water and 49–54 for oil. The turbidity sensor generated values ranging from 969–1424 NTU for water and −300 to −2705 NTU for biodiesel oil. The developed system reliably closed the water gate upon oil detection and activated the appropriate pump according to water level conditions. These findings demonstrate that the proposed intelligent control system provides an effective and reliable solution for real-time biodiesel wastewater monitoring, contributing to improved industrial wastewater management and reduced environmental pollution risks.
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