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The Monitoring System of Urban Road Waterlogging Depth with Smart Lamp Pole

机译:智能灯杆城市道路涝灾监测系统

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Urban road waterlogging affects traffic safety and pedestrian passing seriously for urban traffic. At present, most of the existing methods to measure the actual maximum depth of urban road waterlogging are difficult to ensure its accuracy. To overcome this shortcoming, this paper establishes a calculation model to determine the maximum depth of road waterlogging. When the depth cannot be detected by the pressure sensor due to its installation position deviation or its detection zero-point in high value, the model will calculate the maximum depth based on image processing. After the change of depth can be detected by the pressure sensor, these measure values are not only used to identify the model parameters and calculate the current water level, but also used to accomplish the future road waterlogging depth pre-alarming. Finally, a monitoring system for road waterlogging depth is established to realize the pre-alarming based on the smart lamp pole. Experiment result shows that the presented model and pre-alarming system are effective and accurate.
机译:城市道路涝渍地影响了城市交通严重的交通安全和行人。目前,大多数现有方法测量城市道路涝渍的实际最大深度难以确保其准确性。为了克服这种缺点,本文建立了一个计算模型,以确定道路涝渍的最大深度。由于压力传感器由于其安装位置偏差或其检测到高值,压力传感器无法检测到深度,该模型将根据图像处理计算最大深度。后深度的变化可以由压力传感器检测到,这些测量值不仅用于识别模型参数和计算出当前的水位,但也用于完成未来的道路淹水深度预惊人。最后,建立了一种道路涝灾深度的监测系统,以实现基于智能灯杆的预警。实验结果表明,所提出的模型和预警系统是有效准确的。

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