基于PON与NB-IoT技术在智慧城市的应用

Application of PON and NB-IoT technology in smart city

当前国内外物联网行业的市场规模逐渐扩增,服务体系也随之完善,在近年,智慧城市(smart city)概念成为了人们关注的热点问题,与之相关的数据传输网络也成为研究人员的重点研究方向。窄带物联网(NB-IoT)的概念在2015年7月正式提出,作为一种在全球范围内逐渐兴起的技术成果,该项技术在智慧环境监测、智慧医疗等方面的应用逐渐推广开来。PON技术作为一种成本相对较低,纯介质网络,资源占用少的传输方式,消除了有源设备,仅需通过OLT即可进行信号处理。由于其造价低、架设便捷、维护方便等特点,国内外运营商也将该项技术列入重点关注的方向。如在智慧城市的城市监控体系,传统的MSTP存在着价格高昂,接入繁琐复杂的问题,而采用PON却能有效地改变该类状况,未来可将NB-IoT、PON技术广泛推广于智慧城市的建设,使城市的管理水平、居民的生活方式有效改善。本文对NB-IoT及PON技术的传输方法及其协议进行阐述并计算,介绍了国内外智慧城市最前沿的应用体系,对智慧环境监测体系中采集到的数据依据K-Means聚类算法分类,可通过图形化方式区分不同类型传感器。

At present,the market scale of the Internet of Things industry at home and abroad is gradually expanding,and the service system is also improving. In recent years,the concept of smart city has become a hot issue of concern,and the data transmission network related to it has become a key research direction. The concept of narrowband Internet of Things( NB-IoT) was officially proposed in July 2015. As a technological achievement that has gradually emerged on a global scale,the application of this technology in smart environment monitoring,smart medical care,etc. gradually spreaded. OLT PON technology,as a relatively low-cost,pure media network,resource-occupied transmission mode,first of all eliminates active devices,and because of its low cost,easy to install makes its maintenance easier,domestic and foreign operators also put this technology into the focus of attention.In urban monitoring system with an important position in smart cities,traditional MSTP has the problems of high price and complicated access,and PON can effectively change this kind of situation. In the future,NB-IoT,PON technology will be widely promoted in the construction of smart cities,which effectively improves the management level of the city and the lifestyle of the residents. This paper describes and calculates the transmission method and protocol of NB-IoT and PON technology,and introduces the most advanced application system of smart cities at home and abroad. The data collected in the intelligent environment monitoring system is classified according to K-Means clustering algorithm. Users can graphically distinguish between different types of sensors.