Research On Artificial Intelligence For IT Operations Of OTN Network

Due to the rapid development of society,the status of the network in life is becoming more and more important,and how to carry out a new generation of operation and maintenance for the current network has become an important problem.The research of fast fault location and fault prediction is a key research direction in the field of operation and maintenance.In life,the demand for the network is growing,so there are more and more faults.It is difficult to find the real source from many faults without intelligent positioning technology.Based on the idea of big data analysis,using massive historical alarm data,mining association rules between alarms,in order to optimize the previous positioning technology,can strengthen the ability of operation and maintenance;at the same time,the lack of intelligent technology in the direction of fault prediction is also difficult to achieve good results.Deep learning technology in the field of artificial intelligence,through its unique network structure,can get the appropriate results in fault prediction,so it can be combined with deep learning to improve the fault prediction technology.Based on the alarm data of Fiberhome network management system and the related knowledge of artificial intelligence,this paper discusses the fault location and fault prediction scenarios in optical transmission network.The main tasks are as follows:Firstly,based on the AI training platform,the rule mining and rule-based association method are designed to verify the effectiveness of the model in fast fault location.The experimental results show that the model can effectively locate the fault in the fast fault location.Secondly,based on AI training platform and deep learning knowledge,LSTM neural network model is designed to verify the effectiveness of the model in fault prediction.The experimental results show that the model is effective in fault prediction.