Design and implementation of remote fault Diagnosis Center for equipment based on cloud computing

Design and implementation of remote fault Diagnosis Center for equipment based on cloud computing

Nanjing University of Goeling

After studying the related theories, characteristics and key technologies of cloud computing, combined with the above problems, this paper introduces the concept of "fault diagnosis Cloud", and the storage and calculation of enterprise equipment fault data are concentrated in "cloud". This paper designs a b/c (brower/cloud-center) architecture Remote fault diagnosis system (relative to the traditional C/s and b/s), and expounds the overall composition and working principle of the system. Based on the research and analysis of the core technology of HDFs, MapReduce, hbase and remote fault diagnosis system of the open source cloud computing platform, this paper designs a remote fault diagnosis center based on cloud computing, which provides fault diagnosis cloud service to enterprise users registered on it. In the diagnosis Center, the database table is designed by the distributed database HBase, which makes the diagnostic center have a strong scalability in data storage capability; Using distributed programming framework MapReduce to design case-based reasoning fault diagnosis expert system, so that when the number of equipment failure cases is large, It can also satisfy the problem of the real-time retrieval of the case; in the interaction with the artificial diagnosis expert, the on-line real-time interactive module is designed, which is used as a bridge for the diagnosis experts and the equipment users to communicate and watch the real-time operation of the equipment. The diagnostics Center includes the equipment fault management module, Responsible for the storage enterprise's private device failure information: In addition, the diagnostic Center also includes registration login Management module, background management module, online fault learning module and help module. Finally, using Hadoop framework to build a cloud computing development environment, and on the cloud computing platform developed a cloud based equipment remote fault Diagnosis center of the prototype system, gave the implementation results, and the cloud computing platform performance test analysis.

Design and implementation of remote fault Diagnosis Center for equipment based on cloud computing