探测坑洞和计算国际度指数 (IRI) 使用ATV用于道路监测
Kevin Guerra1, Carlos Raymundo2, Manuel Silvera3
1R &D Laboratory in Emerging Tehnologies, Universidad Peruana de Ciencias Aplicadas, Lima, 15023, Peru.
Scientific reports
|August 26, 2024
概括
本研究介绍了一种低成本的系统,用于监测道路状况,准确检测坑洞,并使用优化的算法计算国际粗度指数 (IRI),用于全地形车辆.
科学领域:
- 土木工程 土木工程是指土木工程.
- 运输工程 运输工程
- 传感器技术 传感器技术
背景情况:
- 气候变化,建设不良,交通繁忙等因素加快了道路的恶化.
- 道路状况监测依赖于国际粗度指数 (IRI) 和坑洞检测等指标.
- 现有的方法通常使用专用车辆或复杂的算法,导致高成本和高功耗.
研究的目的:
- 开发一个具有成本效益的道路状况监测系统.
- 通过低复杂度的信号处理来优化能源消耗.
- 提高漏洞检测和IRI计算的准确性和效率.
主要方法:
- 在城市巡逻全地形车辆 (ATV) 上实施低成本的专用传感器.
- 应用低复杂度的信号处理来降低噪音.
- 开发高效的坑洞检测和IRI计算算法.
主要成果:
- 在坑洞检测中实现了90.5%的平均准确性.
- 计算了国际粗度指数 (IRI),相对误差为8.41%.
- 减少了平均65.4%的监测时间.
结论:
- 拟议的系统为道路状况监测提供了准确有效的解决方案.
- 低成本的传感器和优化的算法为现有方法提供了可行的替代方案.
- 这种方法大大减少了监控时间和能源消耗.
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