Analysis and Exploitation of Landforms for Improved Optimisation of Camera-Based Wildfire Detection Systems

Analysis and Exploitation of Landforms for Improved Optimisation of Camera-Based Wildfire Detection Systems
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DOI:
10.1007/s10694-021-01120-2
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发表时间:
2021-04
期刊:
影响因子:
3.4
通讯作者:
Andries M. Heyns;W. du Plessis;Kevin M. Curtin;M. Kosch;G. Hough
Andries M. Heyns;W. du Plessis;Kevin M. Curtin;M. Kosch;G. Hough
中科院分区:
工程技术3区
文献类型:
--
作者:
Andries M. Heyns;W. du Plessis;Kevin M. Curtin;M. Kosch;G. Hough

文献摘要

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基于摄像机的森林火灾探测系统为森林火灾的早期探测提供了一种有效的手段。从历史上看,塔的位置是由森林管理员和当地人确定的,他们对地形有着深入的了解,没有计算优化工具的帮助。当迁移到广阔的新领土时,如果没有当地知识的帮助,这个过程就会变得繁琐和令人生畏。在这种情况下,如果采用合适的策略将候选站点限制在提供上级系统可视性的地形上,则可以简化最终站点布局的优化。为此目的,提出了一个利用地貌的框架。地形分类在165个现有的塔网站从野火探测系统在南非,加拿大和美国进行了分析,使用地貌技术,并指出,塔位于或靠近某些地形类型。一个元启发式和整数线性规划的方法,然后在目前监测的森林观察野火检测系统的大面积搜索最佳的塔网站,这些网站,然后根据地形进行分类。结果支持现有的塔在值得注意的地形方面所作的观察,并通过将候选地点限制在选定的地形上来重复优化过程。这导致具有改进的系统覆盖的解决方案,在减少的计算时间内实现。所提出的框架可以被复制以用于类似的应用中,例如用于军事设备、蜂窝发射机和气象雷达的选址。
Tower-mounted camera-based wildfire detection systems provide an effective means of early forest fire detection. Historically, tower sites have been identified by foresters and locals with intimate knowledge of the terrain and without the aid of computational optimisation tools. When moving into vast new territories and without the aid of local knowledge, this process becomes cumbersome and daunting. In such instances, the optimisation of final site layouts may be streamlined if a suitable strategy is employed to limit the candidate sites to landforms which offer superior system visibility. A framework for the exploitation of landforms for these purposes is proposed. The landform classifications at 165 existing tower sites from wildfire detection systems in South Africa, Canada and the USA are analysed using the geomorphon technique, and it is noted that towers are located at or near certain landform types. A metaheuristic and integer linear programming approach is then employed to search for optimal tower sites in a large area currently monitored by the ForestWatch wildfire detection system, and these sites are then classified according to landforms. The results support the observations made for the existing towers in terms of noteworthy landforms, and the optimisation process is repeated by limiting the candidate sites to selected landforms. This leads to solutions with improved system coverage, achieved within reduced computation times. The presented framework may be replicated for use in similar applications, such as site-selection for military equipment, cellular transmitters, and weather radar.