一种新型的基于被动红外/超声波传感器的交通/山洪双监测系统

M. Mousa, Enas Odat, C. Claudel
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引用次数: 22

摘要

洪水是最常见的自然灾害类型,每年造成数千人伤亡。在这些事件中,城市山洪尤其致命,因为它们发生的时间很短,而且城市人口高度集中。由于大多数山洪伤亡是由于缺乏信息造成的,因此生成准确和详细的山洪警报至关重要。然而,部署一个仅仅监测山洪暴发的基础设施几乎没有经济意义,因为灾难性山洪暴发的平均周期超过了典型传感器网络的使用寿命。为了解决这个问题,我们提出了一种新的传感设备,可以同时监测城市山洪暴发和另一种感兴趣的现象(本案例中的交通拥堵)。这种传感装置是基于超声波测距仪与一个或多个远程温度传感器的组合。我们展示了该装置的实现,并说明了其在交通流量和山洪检测中的性能。现场数据表明,除了估计车辆速度和根据车辆长度对其进行分类外,该传感器还能以99%的准确率检测车辆。同样的传感器还可以以小于2厘米的精度监测城市水位。其中两个传感器被部署在一个洪水易发地区,在那里他们捕获了在一年的测试期间发生的唯一的(轻微的)山洪暴发,没有错误的检测,并且在估计的水位估计中(在山洪暴发事件期间)一致约2厘米。
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A Novel Dual Traffic/Flash Flood Monitoring System Using Passive Infrared/Ultrasonic Sensors
Floods are the most common type of natural disaster, causing thousands of casualties every year. Among these events, urban flash floods are particularly deadly because of the short timescales on which they occur, and because of the high concentration of population in cities. Since most flash flood casualties are caused by a lack of information, it is critical to generate accurate and detailed warnings of flash floods. However, deploying an infrastructure that solely monitor flash floods makes little economic sense, since the average periodicity of catastrophic flash floods exceeds the lifetime of a typical sensor network. To address this issue, we propose a new sensing device that can simultaneously monitor urban flash floods and another phenomenon of interest (traffic congestion on the present case). This sensing device is based on the combination of an ultrasonic rangefinder with one or multiple remote temperature sensors. We show an implementation of this device, and illustrate its performance in both traffic flow and flash flood sensing. Field data shows that the sensor can detect vehicles with a 99% accuracy, in addition to estimating their speed and classifying them in function of their length. The same sensor can also monitor urban water levels with an accuracy of less than 2 cm. Two of the sensors have been deployed in a flood prone area, where they captured the only (minor) flash flood that occurred over the one-year test period, with no false detection, and an agreement in the estimated water level estimate (during the flash flood event) of about 2 cm.
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