Multi-Sensor System for Land and Forest Fire Detection Application in Peatland Area
Main Authors: | Abdul Kadir, Evizal; Department of Informatics Engineering, Faculty of Engineering, Universitas Islam Riau, Rahim, Sharul Kamal Abdul; Wireless Communication Center, Universiti Teknologi Malaysia, Rosa, Sri Listia; Department of Informatics Engineering, Faculty of Engineering, Universitas Islam Riau |
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Other Authors: | KEMENRISTEKDIKTI and Universitas Islam Riau |
Format: | Article info application/pdf eJournal |
Bahasa: | eng |
Terbitan: |
IAES Indonesian Section
, 2020
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Subjects: | |
Online Access: |
http://section.iaesonline.com/index.php/IJEEI/article/view/1604 http://section.iaesonline.com/index.php/IJEEI/article/view/1604/475 http://section.iaesonline.com/index.php/IJEEI/article/downloadSuppFile/1604/264 http://section.iaesonline.com/index.php/IJEEI/article/downloadSuppFile/1604/339 |
Daftar Isi:
- Forest fire has a dangerous impact on environments and humans because of haze and carbon emitted from it. A common technology to detect fire hotspots is to use satellite images and then process them to determine the number of hotspots and their location. However, satellite systems cannot penetrate in bad weather or cloudy condition. This research proposes a ground sensor system, which uses several sensors related to the indicators of fire, especially fire in peatland area with unique characteristics. Common parameters of fire, such as temperature, smoke, haze, and carbon dioxide, are applied in this system. Indicators are measured using special sensors. Results of every sensor are analyzed by implementing intelligent computer programming, and an algorithm to determine fire hotspots and locations is applied. The fire hotspot location and intensity determined by integrated multiple sensors are more accurate than those determined by a single sensor. Data collected from every sensor are kept in a database, and a graph is generated for reporting and recording. In case of sensor readings with parameters, potential of fire and hotspots detected can be forwarded to the representative department for corresponding actions.