基于分布式声传感器的车辆运行状态监控
Mengmeng Chen1,2, Haotian Ding2, Mingming Liu3
1College of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
使用分布式声学传感 (DAS) 的实地测试成功识别了车辆细节并监控了交通流动. 这项研究推进了DAS数据处理,以便在运输基础设施中更广泛地实施.
科学领域:
- 工程 工程师 工程师 工程师
- 运输科学 运输科学
- 传感器技术 传感器技术
背景情况:
- 分布式光纤传感提供了新的监控能力.
- 实施研究对于采用分布式声学传感 (DAS) 等先进技术至关重要.
- 现有的交通和车辆分析方法可以从增强的传感解决方案中受益.
研究的目的:
- 在市政道路和铁路上进行分布式声学传感 (DAS) 技术的实地测试.
- 分析DAS收集的短期和长期数据,以获得车辆和交通洞察力.
- 为DAS的数据处理方法的开发做出贡献,以促进其实施.
主要方法:
- 在运输基础设施上部署分布式声学传感器 (DAS).
- 长期数据采集 (超过20分钟) 使用DAS.
- 单独进行短期 (<10秒) 和长期 (≥10秒) 数据分析.
主要成果:
- 短期DAS分析成功确定了车辆类型,长度和发动机/压缩机状态.
- 长期的DAS分析使交通流量监控成为可能,提供了关于跑距,加速,速度和制动距离的数据.
- 通过实地测试实现了车辆操作数据的表征.
结论:
- 收集的车辆运行数据特征对于完善DAS数据处理技术至关重要.
- 成功的实地测试证明了DAS在详细的车辆和交通监控方面的潜力.
- 这项研究支持在运输应用中更广泛地实施分布式声学传感.
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