TY - GEN
T1 - Carbon Monoxide and Methane Gas Identification System
AU - Adhim, Fauzi Imaduddin
AU - Priananda, Ciptian Weried
AU - Rahayu, Lucky Putri
AU - Pramudijanto, Josaphat
AU - Tsauri, Dzulfikar Ats
AU - Susila, Joko
AU - Kindhi, Berlian Al
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Health issues will haunt those who work close to the exploited site of natural gas. Carbon Monoxide (CO) and Methane (CH4) are two poisonous natural gases that could cause serious effect such as difficulty of breathing, unconsciousness, or even death to human. These gases are difficult to be observed or smelled. The development of a system which can measure and display the concentration of these two gases will help those whose activity are impacted.In this research we built the system which consists of two separated devices, the first device was planted in the affected area, while the other was placed in the safe area. The planted device identified the concentrations of CO and CH4 while the other device displayed it to human so any prevention action could be done. CO and CH4 were identified by sensor MQ-7 and MQ-4 respectively. Like any other sensor, these two requires preheating process before they can be used to measure the gases accurately. Based on the test results, it could be seen that the average preheating time of MQ-7 and MQ-4 were 83.3 and 78.2 seconds respectively. The error percentage of the concentration identification yielded the biggest value at 11,043% for MQ-7 and 5,984% for MQ-4.
AB - Health issues will haunt those who work close to the exploited site of natural gas. Carbon Monoxide (CO) and Methane (CH4) are two poisonous natural gases that could cause serious effect such as difficulty of breathing, unconsciousness, or even death to human. These gases are difficult to be observed or smelled. The development of a system which can measure and display the concentration of these two gases will help those whose activity are impacted.In this research we built the system which consists of two separated devices, the first device was planted in the affected area, while the other was placed in the safe area. The planted device identified the concentrations of CO and CH4 while the other device displayed it to human so any prevention action could be done. CO and CH4 were identified by sensor MQ-7 and MQ-4 respectively. Like any other sensor, these two requires preheating process before they can be used to measure the gases accurately. Based on the test results, it could be seen that the average preheating time of MQ-7 and MQ-4 were 83.3 and 78.2 seconds respectively. The error percentage of the concentration identification yielded the biggest value at 11,043% for MQ-7 and 5,984% for MQ-4.
KW - carbon monoxide
KW - identification system
KW - methane
KW - poisonous gas
KW - sensor
UR - http://www.scopus.com/inward/record.url?scp=85095845690&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA47173.2019.9223367
DO - 10.1109/ICAMIMIA47173.2019.9223367
M3 - Conference contribution
AN - SCOPUS:85095845690
T3 - 2019 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2019 - Proceeding
SP - 263
EP - 267
BT - 2019 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2019 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2019
Y2 - 9 October 2019 through 10 October 2019
ER -
