YIN189: AUTO CLOGGED TOILET DETECTING SYSTEM

PHAN LIP KIONG SMK BAHANG

AUTO CLOGGED TOILET DETECTING SYSTEM

 

Phan Lip Kiong, Rayyan bin Zullkfly, Jesper Teo, Ryan Maxwell Lius,  Mckale Emmanuel, Jophery  Zhanorra Monni, Oriana Tamin

1smk Bahang, Peti Surat 352, 89507, Penampang Sabah

 

ABSTRACT

 

Toilet clogs in public facilities often go unnoticed for long periods, leading to unpleasant odors, overflow, and increased maintenance demands. To address this issue, we developed a smart detection system that identifies clogging at an early stage and immediately alerts janitorial staff. The prototype uses water-level and flow sensors installed in the toilet bowl or pipe section, connected to a microcontroller programmed to recognize abnormal water rise or slow drainage. An integrated alert module—featuring a buzzer, indicator light, or wireless notification—provides instant warnings to janitors. System performance was evaluated by simulating various clogging scenarios to assess detection speed and reliability. Results show that the system accurately detected clogs and promptly delivered alerts, enabling rapid intervention before overflow or damage occurred. This solution has the potential to reduce maintenance workload, improve hygiene, and ensure toilet usability throughout the day. Future enhancements may include app-based notifications, centralized monitoring, and the integration of automatic unclogging mechanisms.

 

 

Keywords: Smart Living & Environment, Energy saving technology, Smart waste