摘要
现阶段电信运营商物联网业务大部分都承载在GSM和LTE上,少量业务承载在NB-IoT上。在对物联网进行分析时,由于人网数据和物网数据混合在一起,而且"机器人"的感知和"自然人"的感知是不一样的,因此分析的前提是将物联网业务从全量数据中分离出来。物联网业务识别是业务质量分析基础,建立物联网业务识别模型,能够对现网物联网业务进行质量分析、业务监测、主动预警,对完善物联网业务运维支撑手段有着非常重要作用。
At present, most of the telecom operators' Internet of things services are carried on GSM and LTE, while a small number of services are carried on NB-IoT. In the analysis of the Internet of things, because the data of network and IoT are mixed together, and the perception of "robot" is different from that of "natural person", the premise of the analysis is to separate the IoT business from the total amount of data. IoT business identifi cation is the basis of business quality analysis. The establishment of IoT business identifi cation model is able to conduct quality analysis, business monitoring and active warning for IoT business in current network, which plays a very important role in improving IoT business operation and maintenance support.
作者
郑波
崔洋
巢巍
陈彬
ZHENG Bo;CUI Yang;CHAO Wei;CHEN Bin(China Mobile Group Design Institute Co., Ltd. Hu’nan Branch, Changsha 410003, China)
出处
《电信工程技术与标准化》
2019年第3期10-13,共4页
Telecom Engineering Technics and Standardization
关键词
非交互特征
交互特征
特征识别
non-interactive feature
interactive features
feature identifi cation