基于数字孪生技术的通信业务多文本数据差异识别方法

Method for identifying difference in multi text data in communication service based on digital twin technology

针对现行方法在通信业务多文本数据差异识别中存在召回率较低和识别速度较慢的问题,文章提出了基于数字孪生技术的通信业务多文本数据差异识别方法。利用数字孪生技术对通信业务进行虚实映射,构建了通信网络孪生数字模型,以自动读取模型通信业务数据。同时,通过与采集的多本文数据进行关联分析,可量化数据差异程度与识别数据差异,从而实现对基于数字孪生技术的通信业务多文本数据的差异识别。经实验证明,设计方法召回率不低于96%,识别速率在1300bit/s以上,可以实现对通信业务多文本数据差异的精准快速识别。

Aiming at the problems of low recall rate and slow recognition speed in the existing methods,this paper proposes a new method of multi-text data difference recognition based on digital twin technology.Using digital twin technology to map virtual and real communication services,the twin digital model of communication network is constructed to automatically read the communication service data of the model.At the same time,through the correlation analysis with the collected multi-text data,the difference degree of data can be quantified and the difference of data can be identified,so as to realize the difference recognition of multi-text data of communication service based on digital twin technology.The experiment proves that the recall rate of the design method is not less than 96%,and the recognition rate is more than 1300 bit/s,which can realize the accurate and rapid recognition of multi-text data differences in communication services.