摘要
水库作为重要的水源地,其水质监测是保证安全供水的主要措施。为保证水源地的供水质量,首次提出了一种基于大数据分析的智能水质分层监测系统,采用精确传感器采集水体各水层数据实现水库水质监测的全自动化、智能化,为水质预警、计算选取最优取水层和供水等后续工作提供实时、精准的水质数据。
As an important water source,reservoir water quality monitoring is the main measure to ensure safe water supply.In order to guarantee the quality of water supply in water source area,an intelligent layered monitoring system of water quality based on big data analysis is put forward for the first time,it provides real-time and accurate water quality data for the follow-up Work of water quality early warning,calculation and selection of optimal water intake layer and water supply.
作者
张叙纶
张雯
钟敏悦
李雄
衣志国
Zhang Xulun;Zhang Wen;Zhong Minyue;Li Xiong;Yi Zhiguo(College of Biological and Environmental Engineering,Zhejiang Shuren University,Zhejiang,3100152;Beijing Xingcheng Wenyuan Electric Power Design Co.,Ltd.,Beijing,102200;Shihe Reservoir Management Office,Qinhuangdao City,Hebei Province,Hebei,066200)
出处
《当代化工研究》
2021年第1期141-142,共2页
Modern Chemical Research
基金
浙江树人大学项目资助(2019R017)
浙江省自然科学基金(LQ20B060004)。
关键词
水质分层
物联网
实时监测
远程控制
智能化
water quality stratification
internet of things
real-time monitoring
remote control
intellectualization