摘要
在"双碳"背景下,乡村振兴和低碳建设成为乡村规划和建设的重要议题.选取京津冀发展先行区某域,对乡村发展过程中碳排放的时空分布特征进行监测,对实现低碳乡村建设具有重要意义.本研究利用无人机热成像技术,结合BIM模型技术,提出了一种面向乡村的碳图谱构建方法,实现了基于热成像无人机数据的低碳乡村碳图谱构建,并结合BIM模型技术,建立了一套低碳乡村时空特征分析方法,为实现低碳乡村建设提供了一种新思路.针对乡村特点加强无人机技术创新适应低空经济应用场景,针对碳图谱大数据平台整合资源拓展产科教融合共同体建设.
Abstract
In the context of the"Carbon Peaking and Carbon Neutrality"initiative,rural revitalization and low-carbon construction have become important topics in rural planning and development.Taking a certain area in the Beijing-Tianjin-Hebei Development Pilot Zone as an example,this study monitors the spatial-temporal distribution characteristics of carbon emissions during rural development,which is of great significance for achieving low-carbon rural construction.This research proposes a method for constructing a carbon spectrum specifically for rural areas using unmanned aerial vehicle thermal imaging technology combined with BIM modeling technology.It successfully constructs a low-carbon rural carbon spectrum based on thermal imaging data from drones and establishes a set of methods for analyzing the spatiotemporal characteristics of low-carbon villages by integrating BIM modeling technology.This provides a new approach to achieve low-carbon rural construction.In order to adapt drone technology innovation to meet the needs of low-altitude economic applications in rural areas,efforts should be made to integrate resources and expand the production-industry-education integration community through a large-scale data platform for carbon spectra.
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