一个多视图超声波成像解决方案用于埋下下水道管道检查
Xiaoyu Sun1, Alexander R K Towlson1, Qiming Kong1
1School of Electrical, Electronic and Mechanical Engineering, University of Bristol, Queen's Building, University Walk, Bristol, BS8 1TR, United Kingdom.
Ultrasonics
|July 30, 2025
概括
本研究介绍了一种多视图超声波成像方法,用于高效地使用机器人检查埋藏的管道. 一个24元素阵列实现了与较大的阵列可比的成像质量,减少了数据大小和检查时间.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 非破坏性测试 不破坏性测试
- 超声波成像 超声波成像
背景情况:
- 空气合超声波阵列显示出对复杂结构的成像具有前景.
- 限制包括高元素数量,大数据和缓慢的处理,阻碍自主机器人应用程序.
研究的目的:
- 为了提高空气合超声波阵列的效率,用于埋藏管道系统中的机器人传感.
- 减少数据采集和处理时间,以提高检查性能.
主要方法:
- 实施多视图超声波成像算法,以减少元素要求.
- 在3D超声波管道图像中采用修改后的基于转换的方法来提取特征.
主要成果:
- 使用多视图技术的24个元素阵列实现了2.0厘米的平均维度表征误差.
- 这种性能与使用Tippet的融合方法 (误差为2.8厘米) 的64元素数组相当.
结论:
- 多视图成像技术显著提高了空气合超声波阵列的效率.
- 较小的阵列可以实现高质量的成像结果,使得机器人检查埋藏的管道更加可行.
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