摘要
随着物联网技术的广泛应用和各类传感器的大量部署,越来越多的体现物理世界状态信息的感知数据被采集,而为了有效利用这些感知数据支撑智能家居、智慧环境等新型应用,需要为多源、多类感知数据的汇集管理提供有效的支撑。现有的技术在高并发、高吞吐量、多源感知数据的通信以及实时存储等方面难以满足需求。本文针对感知数据实时、多源、海量等特点设计了一种云环境下面向感知数据汇集的通信服务器系统。该系统能够基于一种统一的数据通信协议和云端实时数据库技术,实现感知数据的高并发连接、实时存储,并为不同数据所有者提供自助式的感知设备接入与感知数据管理web交互应用。相关应用实例及实验表明该系统可以为云端的感知数据汇集和存储提供有效支持。
As the wide application of Internet of Things technology and mass deployment of various sensors,more and more information about physical state of the world sensing data is collected.In order to effectively use these sensing data to support the smart home,intelligent environment and other new applications are required to provide effective support for the multi-source and multi-type sensing data collection management.The existing technology in high con-currency,high throughput,multi-source sensing data communications as well as the real-time storage is difficult to meet the demand.In this paper,according to the characteristics of sensing data with real-time,multi-source,mass and other characteristics were designed a communication service system for sensor data collection in cloud environment.The sys-tem is based on a unified data communication protocol and cloud real-time database technology,achieving high con-current connections,real-time data storage and offering different data owner self-sevice accessing sensing device and a interactive sensing data management web application.Related application examples and experiments show that the sys-tem can provide effective support for sensing data collection and storage in cloud.
出处
《软件》
2016年第2期155-159,共5页
Software
关键词
实时
多源
集成设计
通信服务器
Real-time
Multi-source
Integrated design
Communication server
