《火灾科学（中英文）》编辑部

王明惠,瞿菁菁,徐浩,唐志星,朱新平.森林火场空间地空一体数字化栅格建模方法[J].火灾科学,2025,34(3):249-258.

森林火场空间地空一体数字化栅格建模方法

Digital raster modeling method for integrating forest fire occurrences in space and on the ground

DOI：10.3969/j.issn.1004-5309.2025.03.09

基金项目:国家重点研发计划项目(2021YFB2601704);中央高校基本科研业务费(J2023-047)

作者	单位
王明惠	中国民用航空飞行学院,广汉,618307
瞿菁菁	中国民用航空飞行学院,广汉,618307
徐浩	中国民用航空飞行学院,广汉,618307
唐志星	中国民用航空飞行学院,广汉,618307
朱新平^^	中国民用航空飞行学院,广汉,618307

中文关键词: 森林火场空间数字化模型空域栅格化地空编码不规则栅格

英文关键词:Forest fires Spatial digital models Airspace rasterization Ground-space coding Irregular rasters

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中文摘要:

针对以往森林火灾救援中基于经纬度的多维空间环境表征及建模精度不足的问题,提出了基于栅格剖分的地空数字化表征方法及模型。首先,根据地形起伏对森林火场地面层进行不规则三角形剖分,对坡度、山峰等主要威胁区进行栅格加密处理,提高识别分辨率;其次,基于飞行规则及飞行间隔,以低空空域控制面为基准,对飞行层进行立体栅格化剖分处理和编码结构设计;接着,根据栅格最少与精度相对应的原则,对低空飞行层表征方式进行更新,并提出了一种空地一体化空间栅格剖分编码方式,最后结合具体的山地地形,验证了模型的可行性。

英文摘要:

In forest fire rescue operations, the precision of multi-dimensional spatial environment characterization and modeling based on latitude and longitude was deemed inadequate. To address this challenge, this study introduces an advanced ground-to-space digital characterization method and model based on raster dissection techniques. The methodology involves an initial irregular triangular profiling of the forest fire's ground layer, carefully aligned with the terrain's undulations, followed by a focused raster encryption process in key threat zones, such as slopes and peaks, to enhance spatial resolution significantly. Building upon established flight regulations and intervals, and using the low-altitude airspace control surface as a reference, the model proceeds to conduct three-dimensional rasterized profiling and to design a meticulous coding structure for the flight layer. The characterization of the low-altitude flight layer is then optimized, adhering to the principle that the most accurate representation is achieved with the minimal number of rasters. This ensures both efficiency and precision in the spatial depiction. A spatial raster dissection coding method for air-to-ground integration is proposed, and its feasibility is rigorously tested through application to diverse mountainous terrains, thereby validating the model's effectiveness in improving the accuracy of spatial characterization and modelling, which are essential for forest fire rescue endeavours.

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