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Updated: Jul 12, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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通过自适应物流功能的优化钻探特异能使用自动化层面接口检测.

Kechen Liu1, Jingyi Cheng1,2, Xin Sun1

  • 1School of Mines, China University of Mining and Technology, Xuzhou 221116, China.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究引入了一种新的方法,用于检测岩层接口,使用调制钻探特异能. 改进的技术显著减少了识别错误,改善了地质不连续性识别和道路安全.

关键词:
在PSO-LF中.钻探特定能源 钻探特定能源在钻井过程中进行测量.矿山公路支持层层的界面是层层的界面.

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科学领域:

  • 地质技术工程 地质技术工程
  • 采矿工程 采矿工程 采矿工程
  • 地质地质地质地质地质地

背景情况:

  • 精确检测地层接口对于地质不连续性识别和道路支优化至关重要.
  • 现有的方法在识别岩石接口时可能缺乏准确性或稳定性.
  • 精确的接口检测提高了地下建筑和采矿的安全性和效率.

研究的目的:

  • 通过变化点检测提出一种用于定位岩石接口的新型模型.
  • 提高地质构造中层面接口检测的准确性和可靠性.
  • 为了提高道路支优化和屋顶倒塌预防的感知精度.

主要方法:

  • 在复合强度砂样本上进行了钻探测试.
  • 后勤功能被用来调节用于界面检测的钻探特定能量.
  • 粒子群优化 (PSO) 算法被用于适应性参数匹配.

主要成果:

  • 调节钻井的特定能量表明,在接口上改善了反干扰和灵敏度.
  • 在调制后,平均识别误差从6.56mm降至2.83mm.
  • PSO算法导致识别错误率减少了50.88%.

结论:

  • 拟议的方法有效地提高了层面接口的感知精度.
  • 优化的钻井特定能量检测方法有助于道路支持和安全.
  • 这种方法有助于消除潜在的危险,例如采矿操作中的屋顶倒塌.