利用混合可再生太阳能-风能的光探测和测距(激光雷达)传感器的水位监测和洪水预警系统

Angelica F. De Leon, F. Cruz
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引用次数: 1

摘要

本文介绍了一种利用激光雷达(LiDAR)作为水位传感器的水位监测和洪水预警系统的设计与实现。本文还讨论了太阳能-风能混合可再生能源的集成问题。开发的系统安装在东方民都洛岛Calapan市的Bucayao大桥上。该系统使用了一个漂浮物体,包裹在一个重型塑料垫中,作为激光雷达传感器光脉冲的反射器。在卡拉潘市试验场发出红色降雨预警的5天观测期内,水位监测系统测得的最大水位高度为4.52 m。然而,在良好的天气条件下,系统水位测量值仅在0.28米至0.44米左右。该算法被嵌入到微控制器中,使系统能够通过短消息服务(SMS)和警报器提供早期洪水预警。在下午6点左右,风速5.56 m/s,风力机最大输出功率为370 W。而从中午到下午3点左右,太阳能电池板的高输出功率为290瓦至320瓦。当天气晴朗且多风时,混合太阳能-风能发电的最大发电量为454.97瓦。太阳能电池板和风力发电机组的联合输出功率满足了水位监测和洪水预警系统的日常功率需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water Level Monitoring and Flood Warning System using Light Detection and Ranging (LiDAR) Sensor with Hybrid Renewable Solar-Wind Power
This paper describes the design and implementation of a water level monitoring and flood warning system using light detection and ranging (LiDAR) as a water level sensor. The integration of hybrid solar-wind renewable power supply is also included in this paper. The developed system was installed at Bucayao Bridge in Calapan City, Oriental Mindoro. The system used a floater object, enclosed in a heavy-duty plastic mat, as a reflector of light pulses from the LiDAR sensor. During a 5-day observation period, in which red rainfall warning was raised at the test site in Calapan City, the water level monitoring system measured a maximum height of water at 4.52 m. Whereas, during good weather conditions, the system water level measurements were only around 0.28 m to 0.44 m. The algorithms were embedded in microcontrollers and made it possible for the system to provide early flood warnings via short message service (SMS) and siren. The maximum output power of the wind turbine was detected at around 6:00 PM with 370 W at a wind speed of 5.56 m/s. While the high output power of the solar panel was recorded from noontime until around 3:00 PM with 290 W to 320 W. The hybrid solar-wind power produced a maximum of 454.97 W when the weather was mostly clear and windy. The combined output power of solar panel and wind turbine met the daily power requirement of the water level monitoring and flood warning system.
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