摘要
为了更好地实现大水域移动污染源排放监测,设计了一种基于无线传感网络的大水域移动污染源排放监测系统.该系统主要由感知层、传输层和应用层3个部分组成,对采集到的大水域移动污染源数据进行处理和分析,构建BP神经网络模型对污染源进行识别,判断监测设备的启停状态,形成24h智能监控,可以较好地完成大水域移动污染源排放监测.实测结果表明,该设计系统能够扩大监测范围,降低运营成本和响应时间,获取更加精准的监测结果.
In order to better realize the emission monitoring of mobile pollution sources in large water areas,a wireless sensor network-based mobile pollution source emission monitoring system in large water areas was designed.The system was mainly composed of three parts:the sensing layer,the transmission layer and the application layer.Take environmental data in large waters;the transmission layer was responsible for data interaction,while building a wireless sensor network;the application layer was responsible for operations such as receiving and storing environmental data.Process and analyze the collected data of mobile pollution sources in large waters,build a BP neural network model to identify pollution sources,determine the start and stop status of monitoring equipment,and form 24-hour intelligent monitoring to better complete the monitoring of mobile pollution sources in large waters.Experimental tests have proved that the designed system can effectively increase the scope of monitoring,reduce operating costs and response time,and obtain more accurate monitoring results.
作者
朱荣军
金璐
ZHU Rong-jun;JIN Lu(School of Electrical Engineering,Anhui Technical College of Industry and Economy,Hefei Anhui 230051,China;Dispatch operation center,Intelligent cloud network,Jiangsu Branch of China Telecom Co.,LTD,Nanjing Jiangsu 210096,China)
出处
《淮阴师范学院学报(自然科学版)》
CAS
2022年第4期320-324,共5页
Journal of Huaiyin Teachers College;Natural Science Edition
基金
安徽省高校科研项目“基于无线传感网络的大水域生态环境监测系统应用研究”(2020zk03)。
关键词
无线传感网络
移动污染源
排放
大水域
监测系统
wireless sensor network
large water area
mobile pollution source
emission
monitoring system