Research On Service Configuration Method Of Power Communication Transmission Network Based On Deep Learning

The power communication transmission network carries various services to ensure the safe and stable operation and production management of the power system.With the gradual deployment and promotion of smart grid,the types and quantity of services carried on the transmission network are increasing.The traditional service configuration method has been unable to meet all the needs of power communication transmission network services,and the way of manually configuring services based on experience is not only time-consuming and laborious,but also difficult to ensure the balance of network load.At present,with the rapid development of artificial intelligence technology base d on deep learning,deep learning model has strong learning ability and excellent generalization.In order to overcome the shortage of manual configuration services,this paper studies a routing optimization algorithm of power communication transmission network based on deep learning.The main research contents of this paper are as follows.First of all,the services carried on the power communication transmission network are classified.The principle and process of service configuration are clarified,which lays a foundation for follow-up research Then,aiming at the problem that the current traditional routing algorithm does not consider all the factors,and combined with the principle of service configuration of power c ommunication transmission network,a service routing optimization model of power communication transmission network based on multiple constraints is designed.On this basis,a service routing optimization algorithm suitable for power communication transmission network is proposed,which provides data support for the implementation of subsequent intelligent routing algorithms Finally,the deep learning algorithm is compared and analyzed to demonstrate the advantages of the deep learning algorithm in the service configuration application scenario.A service routing optimization algorithm for power communication transmission network based on deep learning is proposed.Through a practical example,the proposed algorithm is compared with the relevant typical algorit hms.It is verified that the proposed algorithm has obvious advantages in balancing the network load,reducing the risk of the whole network and computing efficiency.The service routing optimization algorithm of power communication transmission network based on deep learning is feasible and correct.It can improve the shortcomings of traditional routing methods and manual service configuration methods,reduce the operation risk of power communication transmission network,and improve the resource utilizati on of power communication transmission network.It is of great significance to ensure the safe,stable,economic and efficient operation of power communication network.