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基于地面激光雷达数据模拟电缆廊道。

Simulating cable corridors based on terrestrial LiDAR data.

作者信息

Retzlaff Carl O, Gollob Christoph, Nothdurft Arne, Stampfer Karl, Holzinger Andreas

机构信息

Human-Centered AI Lab, Department of Forest and Soil Sciences, Institute of Forest Engineering, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Strasse 82, 1190 Vienna, Austria.

Department of Forest and Soil Sciences, Institute of Forest Growth, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Strasse 82, 1190 Vienna, Austria.

出版信息

Eur J For Res. 2024;143(4):1083-1095. doi: 10.1007/s10342-024-01673-1. Epub 2024 Mar 26.

DOI:10.1007/s10342-024-01673-1
PMID:39091962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11289336/
Abstract

This article introduces a new basis for optimising cable corridor layouts in timber extraction on steep terrain by using a digital twin of a forest. Traditional approaches for generating cable corridor layouts rely on less accurate contour maps, which can lead to layouts which rely on infeasible supports, undermining confidence in the generated layouts. We present a detailed simulational approach which uses high-resolution tree maps and digital terrain models to compute realistic representations of all possible cable corridors in a given terrain. We applied established methods in forestry to compute feasible cable corridors in a designated area, including rope deflection, determining sufficient tree anchors and placing intermediate supports where necessary. The proposed individual cable corridor trajectories form the foundation for an optimised overall layout that enables a reduction of installation and operation costs and promotes sustainable timber extraction practices on steep terrain. As a next step we aim to mathematically optimise the layout of feasible cable corridors based on multiple criteria (cost, ergonomic aspects, ecological aspects), and integrate the results into an user-friendly workflow.

摘要

本文介绍了一种通过使用森林数字孪生体来优化陡峭地形木材采伐中索道走廊布局的新依据。生成索道走廊布局的传统方法依赖于精度较低的等高线地图，这可能导致布局依赖于不可行的支撑，从而削弱对生成布局的信心。我们提出了一种详细的模拟方法，该方法使用高分辨率树木地图和数字地形模型来计算给定地形中所有可能索道走廊的真实表示。我们应用林业中的既定方法在指定区域计算可行的索道走廊，包括绳索挠度、确定足够的树木锚固点以及在必要时设置中间支撑。所提出的单个索道走廊轨迹构成了优化总体布局的基础，该布局能够降低安装和运营成本，并促进陡峭地形上的可持续木材采伐实践。下一步，我们旨在基于多个标准（成本、人体工程学方面、生态方面）对可行索道走廊的布局进行数学优化，并将结果整合到用户友好的工作流程中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8664/11289336/7347a70a8504/10342_2024_1673_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8664/11289336/6b291e1c8018/10342_2024_1673_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8664/11289336/c0919e764509/10342_2024_1673_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8664/11289336/9d1041d025ae/10342_2024_1673_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8664/11289336/5fd9538f259a/10342_2024_1673_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8664/11289336/d4d5903059c9/10342_2024_1673_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8664/11289336/7347a70a8504/10342_2024_1673_Fig10_HTML.jpg

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Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions.智慧农场和森林作业中的数字化转型需要以人为中心的人工智能：挑战与未来方向。
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Possibilities of a personal laser scanning system for forest mapping and ecosystem services.个人激光扫描系统在森林测绘和生态系统服务中的应用可能性。
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