基于InfluxDB与Grafana的物联网监测系统设计  

Design of IoT monitoring system based on InfluxDB and Grafana

作　　者：郭彬 杨晨[1] 刘庆涛 张梁子沁 GUO Bin;YANG Chen;LIU Qingtao;ZHANG Liangziqin(Beijing Engineering Research Center for IoT Software and Systems,Beijing University of Technology,Beijing 100124,China)

机构地区：[1]北京工业大学北京市物联网软件与系统工程技术研究中心,北京100124

出　　处：《现代电子技术》2022年第18期41-46,共6页Modern Electronics Technique

摘　　要：随着监测系统使用时间的增加与物联网设备的不断接入,系统内数据量增长十分迅速,现有的单一存储模式已无法满足海量数据的存取需求。文中针对物联网异构数据海量性、时序型、低修改性和高写入性等特点,提出使用时序型数据库InfluxDB作为数据持久层存储核心业务数据的新思路。在此基础上,视图层增添Grafana组件用于业务数据可视化展示,并提出一种具备设备接入、设备监控、数据分析与展示功能的物联网监测系统。该系统易于操作,耦合程度低,可使用容器化部署方式降低后期运维成本。实验结果表明,系统存储海量物联网数据后,仍可在极短时间内提供服务,实现了海量物联网数据的高效存取,具有较高的研究价值与现实意义。With the increase of the use time of the monitoring system and the continuous access of IoT(Internet of Things)devices,the amount of data in the system is growing rapidly,and the existing single storage mode cannot meet the demand for access of massive data. In allusion to the massive,time sequential,low modification and high writing characteristics of heterogeneous data of IoT,a new idea of using the time series database InfluxDB as the data persistence layer to store core business data is proposed. On this basis,the Grafana components is added on the view layer for the visual display of business data,and a IoT monitoring system with device access,device monitoring,data analysis and display functions is proposed. The system is easy to operate,has low coupling,and can reduce the later operation and maintenance costs by means of the container deployment. The experimental results show that the system can still provide services in a very short time after storing massive amounts of IoT data,which can achieve efficient access of massive IoT data and has high research value and practical significance.

关 键 词：物联网监测 数据存取 时序数据库 异构数据 数据展示 Grafana 系统设计 

分 类 号：TN931.3-34[电子电信—信号与信息处理]