Study On Cloud-Dust Based Fool-Proofing Design And Crisis Management For Maintenance Of Solar Energy Generating System
In the paper, a cloud-dust based fool-proofing design and crisis management for maintenance of solar energy
generating system is proposed. It is designed to prevent the failure of the various intelligent mechanisms of solar energy
generating system, including records, surveillance, assessments, predictions, diagnosis, prescription, and scheduling. It is
implemented based on cloud-dust architecture. And it is separated into (1) fool-proofing design module (2) crisis
management module. The fool-proofing indexes are set to prevent the failure of the various mechanisms. The states of the
various mechanisms are managed by the auto-checked fool-proofing indexes. If mistakes prevention is fail, we have to
execute the crisis management for stopping harmful results. The crisis management will find the error level and response the
solution by intelligent Inference. The computing engines of the intelligent system model are designed using neural network,
fuzzy logic and particle swarm optimization method. By the experiments, we can find the advantages of the proposed system.
And it is effective to prevent the failure of the various mechanisms of intelligent solar energy generating system.
Keywords- Cloud Computing, Fool-Proofing, Crisis Management, Intelligent Maintenance, Solar Energy Generating