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相关概念视频

Lumber Defects01:23

Lumber Defects

103
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
103
Lumber01:19

Lumber

108
Lumber is derived from logs which are harvested, debarked, and processed into long pieces with a rectangular cross-section. The transformation of logs into lumber involves multiple steps, beginning with an automated saw that slices the log into slabs. These slabs are then transported via a conveyor belt to smaller saws, where they are cut into square-edged pieces of specific widths.
Initially, the surfaces of these lumber pieces are rough, and their dimensions may vary slightly from one end to...
108
Veneer01:19

Veneer

71
Veneer refers to a thin sheet of wood, typically produced to a thickness of about one-eighth of an inch or less. This material is crafted through various methods, the most common being rotary cutting. In this process, a log is mounted into a large lathe and spun against a knife edge, peeling off a continuous strip of wood as the knife penetrates deeper into the rotating log, creating a rotary-cut veneer.
Other veneering techniques include plain-slicing, quarter-slicing, and rift-slicing. These...
71
Wood Surfacing01:14

Wood Surfacing

88
Wood surfacing is a critical finishing process designed to smoothen the wood surface, enhance its dimensional accuracy, and make handling safer. This process compensates for potential shrinkage during the seasoning phase by marginally increasing the wood dimensions before surfacing. It also helps correct some distortions that may occur as the wood dries.
The equipment used in the surfacing process is a plane equipped with rotating blades. This tool efficiently smoothens the wood surface and can...
88

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基于人工智能缺陷检测模型的木双边缺陷切割策略

Chenlong Fan1, Zilong Zhuang1, Ying Liu1

  • 1College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.

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概括

这项研究介绍了木材加工的AI策略,改进了缺陷检测,并增加了12.3%的 sawn木材产量. 双边缺陷切割战略 (BDCS-YOLO) 提高了实木资源的利用率.

关键词:
人工智能的人工智能是人工智能.双边切割是双边切割的方法.检测缺陷检测检测缺陷检测的方法这是木材加工,木材加工.

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科学领域:

  • 木材科学与技术 木材科学与技术
  • 人工智能在制造业中的应用
  • 木材加工自动化木材加工自动化

背景情况:

  • 实木是一种有价值的建筑和家具材料.
  • 木材的生长和加工会引入诸如结节和裂之类的缺陷,从而降低机械性能.
  • 现有的处理方法在有效的缺陷识别和利用方面扎.

研究的目的:

  • 使用人工智能开发自动木材加工战略.
  • 改进实木木材缺陷的检测和定位.
  • 为了提高从原木木材中切割木材的整体产量.

主要方法:

  • 实施BDCS-YOLO (基于你只看一次的双边缺陷切割策略),这是用于缺陷检测的AI模型.
  • 使用双面图像采集平台进行全面的木材扫描.
  • 部署双面处理优化模块,用于精细的缺陷界限框和处理坐标.

主要成果:

  • 在 450 张图像的数据集上,BDCS-YOLO 实现了 0.94 的平均特征检测精度.
  • 双面处理优化模块提高了缺陷检测的准确性.
  • 与当前的生产方法相比,木产量增加了12.3%.

结论:

  • BDCS-YOLO显著提升了木材加工自动化.
  • 由人工智能驱动的战略提高了对实木资源的有效利用.
  • 这种方法为木材加工行业带来了巨大的改善.