基于云平台的海洋水质在线监测系统上位机设计
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摘要
传统海洋水质监测主要采用人工现场采样和实验室仪器分析方法,时效性不足。通过对基于Python的端口监听技术、数据分析算法和服务器搭建模式进行研究,应用云平台及云计算技术,完成了数据通信和服务器端上位机系统的搭建,实测数据可以通过网页获取和分析,实现了海洋水质的在线实时监测,对预防海洋水质污染具有积极作用。
The traditional monitoring of marine water quality mainly uses manual on-site sampling and laboratory instrument analysis methods, therefore its timeliness is insufficient. Based on the research of Python-based port monitoring technology, data analysis algorithm and server building mode, the cloud platform and cloud computing technology are used to implement the construction of data communication as well as server-side host computer system. The measured data can be obtained and analyzed via the web page to implement the online realtime monitoring for marine water quality. The proposed design scheme has a positive effect on preventing marine water pollution.
The traditional monitoring of marine water quality mainly uses manual on-site sampling and laboratory instrument analysis methods, therefore its timeliness is insufficient. Based on the research of Python-based port monitoring technology, data analysis algorithm and server building mode, the cloud platform and cloud computing technology are used to implement the construction of data communication as well as server-side host computer system. The measured data can be obtained and analyzed via the web page to implement the online realtime monitoring for marine water quality. The proposed design scheme has a positive effect on preventing marine water pollution.
引文
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[2]李红杰.基于浮标的近海海洋环境监测与接入技术[D].成都:电子科技大学,2016.
[3]李旭,蔡中华.基于ARM9的船载海水监测系统设计[J].现代电子技术,2012,35(13):115-118.
[4]张国杰.基于STM32的水产养殖水质监测与预测预警系统的设计与实现[D].杭州:杭州电子科技大学，2016.
[5]Tsai C W,Lai C F,Chiang M C,et al.Data Mining for Internet of Things:a Survey[J].IEEE Communications Surveys&Tutorials,2014,16(1):77-97.
[6]Wu X,Zhu X,Wu G Q,et al.Data Mining with Big Data[J].IEEE Transactions on Knowledge and Data Engineering,2014,26(1):97-107.
[7]蔡晓川.云平台网络性能评测技术研究及实现[D].北京:北京邮电大学,2018.
[8]王小强.基于操作码的Python程序防逆转算法研究与实现[D].合肥:中国科学技术大学,2017.
[9]刘欢,陈能成陈泽强.基于Apache Spark的MODIS海表温度反演方法[J].计算机系统应用,2018,27(9):112-117.