基于物联网的旱季潜在火灾预警系统

Excel Barthel Maitimu, I. R. Widiasari
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引用次数: 0

摘要

印度尼西亚几乎每年都发生森林和土地火灾,周围社区和邻国都能感受到其影响。比如最近在加里曼丹中部的东科塔瓦林金和卡廷甘发生的火灾。受火灾影响的土地据信是属于一家马来西亚公司的特许权。根据环境和林业部的说法,森林和土地火灾的面积是根据对Landsat 8 OLI/TIRS卫星图像的分析计算出来的,并将其与热点分布数据进行比较(叠加)。在这项研究中,物联网(IoT)可以用于防止旱季通常发生在梅尔巴布山坡上的森林火灾。物联网传感器技术可以检测干燥季节火灾的空气湿度、温度和风速参数。这项研究旨在通过提供物联网传感器的通知,警告梅尔巴布山可能发生的森林和土地火灾。从已经完成的传感器测试中可以看出,该传感器能够准确、实时地提供信息。试验在三个地方进行:Merbabu山脚下、SWCU FTI峰和稻田。不同植被指数的3个地方的不同结果表明,旱季(7 - 9月)基于物联网的火灾隐患预警系统设计可以应用于梅尔巴布山坡地植被指数较低的地区,这些地区多为干旱易被烧毁的草原。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early Warning System for Potential Fires in the Dry Season Based on the Internet of Things
Almost every year, forest and land fires occur in Indonesia, the impact of which is felt by the surrounding community and neighboring countries. Such as the recent fires in East Kotawaringin and Katingan, Central Kalimantan. The land affected by the fire is believed to be a concession belonging to a Malaysian company. According to the Ministry of Environment and Forestry, the area of forest and land fires is calculated based on an analysis of Landsat 8 OLI/TIRS satellite imagery, which is compared (overlay) with data on the distribution of hotspots. In this research, the Internet of Things (IoT) can be useful in preventing forest fires that usually occur on the slopes of Merbabu during the dry season. IoT sensor technology can detect air humidity, temperature, and wind speed parameters for fires in the dry season. This study aims to warn of potential forest and land fires in Mount Merbabu by providing notifications from IoT sensors. From the sensor testing that has been done, it can be seen that the sensor can provide information accurately and in real-time. The tests were carried out in three places: at the foot of Mount Merbabu, the SWCU FTI Peak, and the rice fields. The different results in three places with different vegetation indices indicate that the design of a fire potential warning system based on the Internet of Things in the dry season (July – September) can be used in areas with a low vegetation index on the slopes of Mount Merbabu, the majority of which are dry and easy grasslands burnt.
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