| The power and environment monitoring system is the guarantee of stable operation of the engine room.It use the cloud computing to manage the large area distributed engine room now.With the development of society,manufacturers began to set up engine room,and the density and distribution area growth rapidly.With the expansion of the number of server nodes,the distributed cloud system consumption increased exponentially,that limit the extensibility.This paper proposes that use the edge computing architecture in the power and environment monitoring system,to enhance the extensibility.The edge computing architecture is that add a core server in the distributed cloud architecture to schedule the storage and computing resource.On the basis of the distributed cloud architecture features,it solves some defects of distributed cloud architecture.According to the characteristics of the edge computing architecture,presents the edge computing architecture of star topology by analyze the correspondence between the edge computing and the star topology.Presents a links selection scheme by analyzing the network's delay model,to improve the user experience.For the security difficulty of edge computing architecture,proposed the system that use key distribution scheme on the base of the characteristics and application environment of edge computing architecture.Using Canopy+K-means clustering to manege the data.According to the selection of threshold T1 and T2 in the Canopy algorithm,propose a computing method that based on probability distribution by analyze the characteristics of the data distribution of the power and environment monitoring system,.The experimental results show that the proposed method can realize the data exchange and interactive computing,and use OMC to remote operation FSU,that on the basic functions of the traditional power and environment monitoring system.And in terms of system consumption and scalability,it has better performance than distributed cloud. |
PDF Full Text Request