BibTeX
@article{IJASEIT6656,
author = {Muhammad Rivai and Rudy Dikairono and Irfan Fachrudin Priyanta},
title = {Mapping Gaseous Pollutant Using Quadcopter on Autonomous Waypoint Navigation},
journal = {International Journal on Advanced Science, Engineering and Information Technology},
volume = {10},
number = {5},
year = {2020},
pages = {1998--2004},
keywords = {air pollution; gas sensor; global positioning system; quadcopter; waypoints.},
abstract = {Air pollution is a condition in which air quality is damaged and contaminated with substances that are harmful to living things. Along with the increase in the number of motorized vehicles and industrial areas in Indonesia can increase the level of air pollution. Generally, monitoring systems for air pollution are carried out using gas sensors at certain points. However, this method takes a lot of time and cost, as well as low spatial resolution for a wide area. The quadcopter is a type of Unmanned Aerial Vehicle that can move automatically according to the tracking system based on the waypoints of the Global Positioning System. In this study, a quadcopter equipped with a gas sensor is used to map air pollution levels. Mission Planner software is used to determine the waypoints of the quadcopter. The proportional-integral-derivative (PID) control is used to maintain the altitude of the quadcopter while hovering. The gas level can be stored and accessed online on the webserver, in which the results of the gas mapping are displayed on Google Earth. The experiment results show that the measurement of carbon monoxide using the semiconductor gas sensor has an error of 9.6%. The quadcopter can route all the provided waypoints for its navigation. The quadcopter can also maintain the height according to the offered altitude setpoints with a steady-state error of 21.4 % and 15.75%, respectively.},
issn = {2088-5334},
publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6656},
doi = {10.18517/ijaseit.10.5.6656}
}
EndNote
%A Rivai, Muhammad
%A Dikairono, Rudy
%A Priyanta, Irfan Fachrudin
%D 2020
%T Mapping Gaseous Pollutant Using Quadcopter on Autonomous Waypoint Navigation
%B 2020
%9 air pollution; gas sensor; global positioning system; quadcopter; waypoints.
%! Mapping Gaseous Pollutant Using Quadcopter on Autonomous Waypoint Navigation
%K air pollution; gas sensor; global positioning system; quadcopter; waypoints.
%X Air pollution is a condition in which air quality is damaged and contaminated with substances that are harmful to living things. Along with the increase in the number of motorized vehicles and industrial areas in Indonesia can increase the level of air pollution. Generally, monitoring systems for air pollution are carried out using gas sensors at certain points. However, this method takes a lot of time and cost, as well as low spatial resolution for a wide area. The quadcopter is a type of Unmanned Aerial Vehicle that can move automatically according to the tracking system based on the waypoints of the Global Positioning System. In this study, a quadcopter equipped with a gas sensor is used to map air pollution levels. Mission Planner software is used to determine the waypoints of the quadcopter. The proportional-integral-derivative (PID) control is used to maintain the altitude of the quadcopter while hovering. The gas level can be stored and accessed online on the webserver, in which the results of the gas mapping are displayed on Google Earth. The experiment results show that the measurement of carbon monoxide using the semiconductor gas sensor has an error of 9.6%. The quadcopter can route all the provided waypoints for its navigation. The quadcopter can also maintain the height according to the offered altitude setpoints with a steady-state error of 21.4 % and 15.75%, respectively.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6656
%R doi:10.18517/ijaseit.10.5.6656
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 5
%@ 2088-5334
IEEE
Muhammad Rivai,Rudy Dikairono and Irfan Fachrudin Priyanta,"Mapping Gaseous Pollutant Using Quadcopter on Autonomous Waypoint Navigation," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 5, pp. 1998-2004, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.5.6656.
RefMan/ProCite (RIS)
TY - JOUR
AU - Rivai, Muhammad
AU - Dikairono, Rudy
AU - Priyanta, Irfan Fachrudin
PY - 2020
TI - Mapping Gaseous Pollutant Using Quadcopter on Autonomous Waypoint Navigation
JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 5
Y2 - 2020
SP - 1998
EP - 2004
SN - 2088-5334
PB - INSIGHT - Indonesian Society for Knowledge and Human Development
KW - air pollution; gas sensor; global positioning system; quadcopter; waypoints.
N2 - Air pollution is a condition in which air quality is damaged and contaminated with substances that are harmful to living things. Along with the increase in the number of motorized vehicles and industrial areas in Indonesia can increase the level of air pollution. Generally, monitoring systems for air pollution are carried out using gas sensors at certain points. However, this method takes a lot of time and cost, as well as low spatial resolution for a wide area. The quadcopter is a type of Unmanned Aerial Vehicle that can move automatically according to the tracking system based on the waypoints of the Global Positioning System. In this study, a quadcopter equipped with a gas sensor is used to map air pollution levels. Mission Planner software is used to determine the waypoints of the quadcopter. The proportional-integral-derivative (PID) control is used to maintain the altitude of the quadcopter while hovering. The gas level can be stored and accessed online on the webserver, in which the results of the gas mapping are displayed on Google Earth. The experiment results show that the measurement of carbon monoxide using the semiconductor gas sensor has an error of 9.6%. The quadcopter can route all the provided waypoints for its navigation. The quadcopter can also maintain the height according to the offered altitude setpoints with a steady-state error of 21.4 % and 15.75%, respectively.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6656
DO - 10.18517/ijaseit.10.5.6656
RefWorks
RT Journal Article
ID 6656
A1 Rivai, Muhammad
A1 Dikairono, Rudy
A1 Priyanta, Irfan Fachrudin
T1 Mapping Gaseous Pollutant Using Quadcopter on Autonomous Waypoint Navigation
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 5
YR 2020
SP 1998
OP 2004
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 air pollution; gas sensor; global positioning system; quadcopter; waypoints.
AB Air pollution is a condition in which air quality is damaged and contaminated with substances that are harmful to living things. Along with the increase in the number of motorized vehicles and industrial areas in Indonesia can increase the level of air pollution. Generally, monitoring systems for air pollution are carried out using gas sensors at certain points. However, this method takes a lot of time and cost, as well as low spatial resolution for a wide area. The quadcopter is a type of Unmanned Aerial Vehicle that can move automatically according to the tracking system based on the waypoints of the Global Positioning System. In this study, a quadcopter equipped with a gas sensor is used to map air pollution levels. Mission Planner software is used to determine the waypoints of the quadcopter. The proportional-integral-derivative (PID) control is used to maintain the altitude of the quadcopter while hovering. The gas level can be stored and accessed online on the webserver, in which the results of the gas mapping are displayed on Google Earth. The experiment results show that the measurement of carbon monoxide using the semiconductor gas sensor has an error of 9.6%. The quadcopter can route all the provided waypoints for its navigation. The quadcopter can also maintain the height according to the offered altitude setpoints with a steady-state error of 21.4 % and 15.75%, respectively.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6656
DO - 10.18517/ijaseit.10.5.6656
