摘要
针对目前城市雨涝灾害严重、传统雨涝监测方法的可观性差、准确率低和效率低等问题,设计了基于图像的城市雨涝监测系统,实现了视频图像采集、水位识别和数据通信等功能。实验结果表明,本系统可以准确地识别出水位,数据误差在±2 cm以内,同时数据可在系统的LED屏幕和Web界面展示,满足城市雨涝监测系统的实用性和准确性要求。
In order to solve the problems of serious urban rain-waterlogging disaster,poor observability,low accuracy and low efficiency of traditional rain-waterlogging monitoring methods,an image-based urban rain-waterlogging monitoring system is designed,which realizes the functions of image acquisition,water level identification and data communication.The experimental results show that the system can accurately identify the water level,the data error is within±2 cm,and the data can be displayed on the system's LED screen and Web interface,which meets the practicability and accuracy requirements of the urban rain-waterlogging monitoring system.
作者
曲金秋
褚泽帆
陈城
宗泽
王猛
Qu Jinqiu;Chu Zefan;Chen Cheng;Zong Ze;Wang Meng(Nanjing Automation Institute of Water Conservancy and Hydrology,Nanjing 210012,China;Hydrology and Water Resources Engineering Research Center for Monitoring)
出处
《单片机与嵌入式系统应用》
2020年第6期73-77,共5页
Microcontrollers & Embedded Systems
基金
接触式声学流量在线监测技术与装备研发(2017YFC0405702)
江河湖库水文要素在线监测技术与装备(2017YFC0405700)
基于时域频域空间的河流超声波信号动态处理算法研究(Y520018)
基于残差学习与卷积神经网络的水文图像算法研究(Y520019)。
关键词
图像处理
水位识别
雨涝监测
S3C6410
image procession
water level identification
rain-waterlogging monitoring
S3C6410
