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Received:June 30, 2019 Revised:July 16, 2019
Received:June 30, 2019 Revised:July 16, 2019
中文摘要: 本文使用传感器、ZigBee无线传感网络、嵌入式系统、GPRS、云端、大数据挖掘分析等技术，设计并实现了一种多指标、多节点、低功耗的“水域天网监测系统”.测试表明，系统设计方案合理可行，系统运行稳定，实现了水质状态分布式监控、预警、大数据分析和多种科学图表可视化，有效扩大监测范围，加快预警和反应速度，提高水质监测治理进程.
中文关键词: 物联网|大数据|无线传感网络|水质监测
Abstract:In this study, we use sensors, ZigBee wireless sensor network, embedded system, GPRS, cloud, big data mining analysis, and other technologies to design and implement a multi-indicator, multi-node, low-power “waters skynet monitoring system”. The test shows that the system design scheme is reasonable and feasible, and the system runs stably. It has realized distributed monitoring of water quality status, early warning, big data analysis and visualization of various scientific charts, effectively expands the scope of monitoring, accelerates the early warning and response speed, and improves the process of water quality monitoring and treatment.
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基金项目:四川省大学生创新创业训练计划项目（S201910619098）
引用文本：
丁越昌,李攀,林真友,曹文旭.基于物联网和大数据的水域天网监测系统.计算机系统应用,2020,29(1):105-111
DING Yue-Chang,LI Pan,LIN Zhen-You,CAO Wen-Xu.Waters Skynet Monitoring System Based on Internet of Things and Big Data.COMPUTER SYSTEMS APPLICATIONS,2020,29(1):105-111
丁越昌,李攀,林真友,曹文旭.基于物联网和大数据的水域天网监测系统.计算机系统应用,2020,29(1):105-111
DING Yue-Chang,LI Pan,LIN Zhen-You,CAO Wen-Xu.Waters Skynet Monitoring System Based on Internet of Things and Big Data.COMPUTER SYSTEMS APPLICATIONS,2020,29(1):105-111
