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在堤防维护中的虫检测技术:方法和趋势
Xiaoke Li1, Xiaofei Zhang1, Shengwen Dong2
1Henan Key Lab of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
本综述评估了用于堤防维护的虫检测方法. 集成的多传感器系统和人工智能有望提高结构损坏的准确性和自动化.
科学领域:
- 地质技术工程 地质技术工程
- 环境科学 环境科学
- 虫害管理 虫害管理 虫害管理
背景情况:
- 长通过筑巢和道来威胁堤防的结构完整性,造成空洞和潜在的故障.
- 有效的虫检测对于积极的堤防维护和风险减轻至关重要.
研究的目的:
- 系统地分类和评估当前对堤防的白检测技术.
- 确定新兴的解决方案,以提高检测准确度和自动化.
主要方法:
- 对物理传感技术 (如GPR,声学检测,电阻成像) 的审查和分析.
- 评估基于生物特征的方法 (例如,电子鼻子,嗅探犬,无人机成像).
- 评估集成的多传感器框架和人工智能算法.
主要成果:
- 物理传感提供了非侵入性的地下异常定位.
- 生物方法检测挥发性化合物和表面活动.
- 集成系统和人工智能提高了检测准确性,适应性和自动化.
结论:
- 未来的虫检测依赖于跨学科的整合和智能监测.
- 先进的系统支持早期预警,快速响应和长期结构弹性.
- 这项工作为改善白管理和堤防安全提供了基础.
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