当前位置: X-MOL 学术Nat. Hazards › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A LabVIEW-based fire monitoring software using multi-criteria AHP approach for detecting geolocation of wildfire
Natural Hazards ( IF 3.3 ) Pub Date : 2021-07-07 , DOI: 10.1007/s11069-021-04901-8
Yucel Gulluce 1
Affiliation  

High Conservation Value Forests or botanical parks are critical forested areas that need to be appropriately managed and protected against fire, as they contain large concentrations of biodiversity-which includes endangered or threatened species–which are very sensitive to fire outbreaks. Thus, early detection and rapid responses are so important in combating and containing fire in these areas. As such, a lot of innovative methods are used for the containment and combating of fire. This paper proposes a stand-alone program called FireLocator created by LabVIEW that can detect in real-time the geolocation and behavior of fires by superposition of detection areas through state-of-the-art multispectral infrared detectors using wireless transmitters and mathematical modeling algorithms at a very early stage with maximum spatial resolution. In this context, four alternative models for the optimum positions of detectors in pilot control area are analyzed with Analytic Hierarchy Process (AHP) method. Experimental results demonstrated that preferred alternative model for FireLocator program has the highest percentage with 38.22% based on the AHP algorithm that validates the model used in this study. Moreover, FireLocator outperformed other fire monitoring systems and provided high spatial resolution (up to 3 m) which assisted in determining fire behavior and the geolocation of the fire in a minimum pilot area of ~ 3598.9 square meters.



中文翻译:

基于LabVIEW的火灾监测软件使用多标准AHP方法检测野火的地理位置

高保护价值森林或植物园是重要的森林地区,需要适当管理和防火,因为它们包含大量的生物多样性——包括濒危或受威胁的物种——对火灾爆发非常敏感。因此,早期检测和快速响应对于在这些地区扑灭和控制火灾非常重要。因此,许多创新方法被用于遏制和扑灭火灾。本文提出了一个由 LabVIEW 创建的名为 FireLocator 的独立程序,该程序可以通过使用无线发射器和数学建模算法的最先进的多光谱红外探测器叠加探测区域来实时探测火灾的地理位置和行为。具有最大空间分辨率的非常早期的阶段。在此背景下,使用层次分析法(AHP)方法分析了用于先导控制区域中探测器最佳位置的四种替代模型。实验结果表明,基于验证本研究中使用的模型的 AHP 算法,FireLocator 程序的首选替代模型的百分比最高,为 38.22%。此外,FireLocator 的性能优于其他火灾监测系统,并提供了高空间分辨率(高达 3 m),有助于在 ~ 3598.9 平方米的最小试点区域内确定火灾行为和火灾的地理定位。实验结果表明,基于验证本研究中使用的模型的 AHP 算法,FireLocator 程序的首选替代模型的百分比最高,为 38.22%。此外,FireLocator 的性能优于其他火灾监测系统,并提供了高空间分辨率(高达 3 m),有助于在 ~ 3598.9 平方米的最小试点区域内确定火灾行为和火灾的地理定位。实验结果表明,基于验证本研究中使用的模型的 AHP 算法,FireLocator 程序的首选替代模型的百分比最高,为 38.22%。此外,FireLocator 的性能优于其他火灾监测系统,并提供了高空间分辨率(高达 3 m),有助于在 ~ 3598.9 平方米的最小试点区域内确定火灾行为和火灾的地理定位。

更新日期:2021-07-07
down
wechat
bug