摘要
为对海量智能设备的信息进行接入、存储、处理、挖掘其价值,设计并实现了基于MongoDB的物联网接入云服务平台。该平台包括感知层、接入层、存储层、服务层和应用层,利用分片的MongoDB和负载均衡技术,能实时接入并存储海量设备数据,通过REST架构实现灵活的系统组合,根据不同设备和不同条件统计、分析设备数据,按照地址、操作、检测值等挖掘数据信息,并将结果以地图、统计图和统计表等直观方式展示。实验数据验证了该平台的有效性,并达到了预期的运行效果。
In order to access,store and process the massive information of the smart device and then dig its value efficiently,a cloud service platform based on MongoDB for internet of things accessing is designed and implemented.This platform consists of cognition,accessing,storage,service and application layers,provides high accessing and storage capability for the smart devices in real-time through the sharding MongoDB and load balance technologies,and realizes the flexible combination of system using REST architecture.These data can be statistically analyzed according to different devices and conditions,the valuable data information is mined based on address,operation and detection value and the results are presented as such visual form as map,statistical chart and statistical tables.The system architecture,implementation mechanisms and key technologies of this service platform are presented in detail.After deploying the accessing cloud on the Aliyun,the function and performance of the cloud service are evaluated.
出处
《桂林电子科技大学学报》
2017年第1期1-7,共7页
Journal of Guilin University of Electronic Technology
基金
国家自然科学基金(61661015)
广西云计算与大数据协同创新中心基金(YQ16801)
认知无线电与信息处理教育部重点实验室主任基金(CRKL160101)
广西自动检测技术与仪器重点实验室主任基金(YQ15102)
