Scholarlink

<p>Efficient material handling during construction operations is essential for minimizing construction costs, optimizing resource utilization, and reducing environmental impact. This study introduces a novel methodology that employs 3D solid-state time-of-flight LiDAR technology for real-time estimation of soil volume within an excavator bucket. Unlike traditional measurement approaches, this system utilizes a LiDAR sensor, which in this setup is mounted on the cabin to enhance accuracy and efficiency. The volume calculation is performed using two computational methods: Delaunay triangulation and Geom3D. The error analysis reveals that the Geom3D method achieves an average accuracy of 96% for bucket fill factors up to 50%, while Delaunay triangulation is optimal for higher fill levels, maintaining a similar accuracy rate of 96%. These findings highlight the distinct computational efficiencies of each method within their respective operational ranges. The solid-state 3D LiDAR technology is characterized by its high precision, real-time data processing, absence of mechanical components, and robustness in low-light conditions, eliminating the need for frequent calibration. Beyond excavator applications, the proposed method has the potential to improve automation in other industrial sectors, including mining, construction, civil engineering, and agriculture, by providing accurate, real-time volume estimations for mobile machinery such as loaders, tractors, dredgers, and backhoes.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Volume measurement of soil in excavator buckets by solid-state 3D LiDAR

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月3日

查看全文
  • Ilpo Niskanen,
  • Guoyong Duan,
  • Tanja Kolli,
  • Matti Immonen,
  • Tomi Makkonen,
  • Rauno Heikkilä

摘要

Efficient material handling during construction operations is essential for minimizing construction costs, optimizing resource utilization, and reducing environmental impact. This study introduces a novel methodology that employs 3D solid-state time-of-flight LiDAR technology for real-time estimation of soil volume within an excavator bucket. Unlike traditional measurement approaches, this system utilizes a LiDAR sensor, which in this setup is mounted on the cabin to enhance accuracy and efficiency. The volume calculation is performed using two computational methods: Delaunay triangulation and Geom3D. The error analysis reveals that the Geom3D method achieves an average accuracy of 96% for bucket fill factors up to 50%, while Delaunay triangulation is optimal for higher fill levels, maintaining a similar accuracy rate of 96%. These findings highlight the distinct computational efficiencies of each method within their respective operational ranges. The solid-state 3D LiDAR technology is characterized by its high precision, real-time data processing, absence of mechanical components, and robustness in low-light conditions, eliminating the need for frequent calibration. Beyond excavator applications, the proposed method has the potential to improve automation in other industrial sectors, including mining, construction, civil engineering, and agriculture, by providing accurate, real-time volume estimations for mobile machinery such as loaders, tractors, dredgers, and backhoes.