实现可持续的荒漠化控制:可控孔径的直立砂的制造方法
Manyu Jin1, Yijiang Zheng1, Yun Ge1
1College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, 832003, China.
Journal of environmental management
|January 30, 2026
概括
这项研究介绍了一种使用深度学习的智能系统,以精确控制砂的多孔性,改善防风和固定砂的性能. 该系统确保持续的多孔性,这对于有效的荒漠化控制材料至关重要.
科学领域:
- 材料科学 材料科学 材料科学
- 环境工程 环境工程
- 人工智能的人工智能
背景情况:
- 沙对于防风和沙子固定至关重要,但它们的性能严重取决于孔隙性.
- 由于材料的变化和制造方面的挑战,很难控制砂围的多孔性.
研究的目的:
- 开发一种智能系统,用于准确,实时控制直立砂围的孔隙性.
- 通过优化孔隙性来增强沙的防风和固定沙的能力.
主要方法:
- 开发了一种轻量级实例细分模型 (Reed-YOLOv8n-SSAS) 用于基于机器视觉的孔隙监测.
- 实现了面具转移算法,以估计束直径,以便实时控制.
- 利用闭环控制策略,根据实时孔隙数据调整制造参数.
主要成果:
- 雷德-YOLOv8n-SSAS实现了高精度 (98.6%) 和mAP (98.7%),模型尺寸和计算成本降低.
- 在实地测试期间,智能系统有效地保持了目标孔径 (近45%).
- 机械制造的围显示出优良的结构完整性 (直度偏差≤3°) 和一致的多孔性 (44.8 ± 1.2%).
结论:
- 开发的智能系统为绿色,高效和智能制造沙子控制材料提供了可行的解决方案.
- 实时孔隙控制显著提高了机械制造的砂的质量和一致性.
- 这项技术为加强荒漠化控制策略提供了一条途径.
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