Application Of IoT And Neural Network In Emergency Repair Of Communications

With the deep integration of Internet of things,artificial intelligence and communication technology,our society has opened a new era of "intelligent connection of all things" and "human-computer depth".This paper focuses on the use of the Internet of things and artificial intelligence technology based on neural network to build intelligent emergency repair and backup means for important customers,and carry out application research in the actual production line.This paper first studies the application of VPDN networking mode in the field of communication emergency repair.It uses L2 TP,GRE and other technologies to realize virtual private network,which separates the public Internet and the customer's Internet of things,so as to meet the customer's internal network can be accessed by the wireless emergency terminal of the Internet of things in case of emergency,and aims at the VP of Internet of things under different business scenarios The implementation of DN service is studied in detail.At the same time,this paper introduces the universal wireless network emergency repair scheme as an extension and supplement of the Internet of things emergency repair scheme.Based on telecommunication network,emergency repair of IP network for important customers is realized.Secondly,how to use AI technology based on neural network to build intelligent emergency repair means is explored.The content includes python programming implementation and application of NN,RNN and LSTM.And based on the Internet of things and neural network communication emergency repair means research in the first-line production,has been applied in practice,effectively shorten the repair time of important government and enterprise customers,improve the user perception.Finally,the value embodiment of the research content in communication enterprises and important customers is elaborated.The next step is to integrate 5g and AI technology,and to build a centralized management system with the further growth of customer scale and business.