A Sensor-based Garbage Gas Detection System

Closed

Junaidy B. Sanger, Lanny Sitanayah, Imam Ahmad

2021 2021 IEEE 11th Annual Computing and Communication Workshop and Conference, CCWC 2021 Conference paper Cited by 27 Quartile

Abstract

Garbage poses threat to the environment and human health. Toxic gases may causes respiratory disorders and other health related problems. This research focuses on design and implementation of a sensor-based system to sense the existence of garbage gases, namely Methane (CH4), Hydrogen Sulfide (H2S), and Ammonia (NH3). Our sensor device consists of an Arduino Uno, a NodeMCU ESP8266, MQ-136, MQ-137, and TGS-2611 sensors. We implement two programs - an Arduino program at the sensor device and a PHP program that runs at the web server. In the experiments, the three sensors give higher values when the air is contaminated with garbage gas. The average sensor values from every sensor in the clean air and contaminated air experiments are 0.0904 ppm and 44.696 ppm for the MQ-137 sensor, 0.0624 ppm and 9.1884 ppm for the MQ-136 sensor, and 8.6236 ppm and 368.8128 ppm for the TGS-2611 sensor. © 2021 IEEE.

Affiliations

Universitas Katolik de la Salle, Dept. of Informatics Engineering, Manado, Indonesia; Universitas Teknokrat Indonesia, Dept. of Information System, Lampung, Indonesia

Research at a Glance

Premium content — register to unlock

Research at a Glance

Register to unlock

Topics & SDG Alignment

Premium content — register to unlock

Topics & SDG Alignment

Register to unlock

Collaboration

Premium content — register to unlock

Collaboration

Register to unlock

Author Profile (Selected)

Premium content — register to unlock

Author Profile (Selected)

Register to unlock

References Overview

Premium content — register to unlock

References Overview

Register to unlock

Journal & Source

Premium content — register to unlock

Journal & Source

Register to unlock

Metadata & Integrity

Premium content — register to unlock

Metadata & Integrity

Register to unlock