IoT (Internet of Things) Based Clog Detection System
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Abstract
Clogs had posed significant challenges, resulting in flooding of culverts with wastewater. Presently, market solutions for detecting clogs are either scarce or expensive, making them inaccessible to many. In response to this, the researcher had conducted a study to develop an alternative, more affordable device. The study proposes a clog detection system to monitor clogs through an increase in water level. The system runs in a reactive architecture with an ultrasonic sensor as the main data entry point that measures the water level from the drainage. IoT is utilized for real-time clog detection, using the following major components: Ultrasonic sensor, ESP32 microcontroller, GSM module and cloud for web server. Additional features are the map, graph, timestamp, and risk level category. The study implements a threshold to minimize false alarms caused by a sudden increase in water level, and a 5-meter base value. The risk level categories are no clog at 4 meters up, slightly clogged at 3.5-3.99 meters, moderately clogged at 3-3.49 meters, and highly clogged at 2.5-2.99 meters and above. Furthermore, the sensor cannot detect objects underwater and cannot predict the occurrence of a clog. The IoT-based clog detection serves as an early warning tool for potential flooding due to clogs, enabling prompt action to mitigate risks.
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References
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