用无人机+机器人实现热带林精准采伐，几乎零破坏且经济可行
Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems
- 结合直升机与无人机技术，实现选择性采伐和灾后修复一体化
- 模拟显示可近乎消除森林附带损伤，且不同航程组合均具经济可行性
- 适合关注可持续林业的政府、企业及原住民群体合作推广
全球热带森林正面临严峻的滥伐压力，源于经济与政治利益驱动，科学证据表明滥伐加剧气候变化。本文提出一种新型采伐方法——超低影响封装式采伐（URIEL），基于直升机采伐技术，深度融合机器人与人工智能，并由无人机执行采伐后的抚育管理。研究完成了该技术所需设备的概念设计、尺寸确定与数字化原型验证，对多种直升机-木材距离组合进行了有效数字仿真与经济可行性分析。结果表明，URIEL方法具备高度经济可行性，可在维持生态系统服务的前提下几乎完全避免森林附带损伤。论文主要结论为：尽管技术成果令人满意，但其实际落地依赖于高科技产业、政府部门、认证采伐企业及原住民群体的协同整合。
原文摘要 · Abstract (English)
Tropical forests worldwide are under intense deforestation pressure driven by economic and political interests, and scientific evidence suggests this deforestation contributes to climate change. This paper proposes a novel logging method for tropical forests, Ultra-Reduced-Impact-Encased-Logging (URIEL). This new method is based on heli-logging techniques combined with intensive use of robotics and AI integrated with post-harvest silvicultural treatments performed by drones. The concept of appropriate equipment for this method was developed, dimensions were determined, details were completed in a digital proof of concept, and an effective digital simulation and economic feasibility analysis were carried out for various helicopter-timber-distance combinations. The results demonstrated that a URIEL method has high economic viability and makes it possible to virtually eliminate collateral damage to forests while maintaining ecosystem services. The main conclusion of this paper is that, despite the satisfactory scientific and technological results, the feasibility of a Uriel method depends on the integration of stakeholders intrinsic to the context: high-tech industry; political governments; certified logging companies; and native populations.
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