Fast and Intelligent Information Processing Method for Fault Recorder Master Station Based on Edge Computing

  Introduction  Aiming at the problems of business concentration， fault decision delay and high data transmission overhead for power grid dispatching control center， a fast and intelligent information processing method for fault recorder master station based on edge computing was proposed.

  Method  Based on the edge computing design principle and overall framework of fault recording information processing， we used DataSocket asynchronous parallel real-time communication and Hadoop distributed storage scheme to ensure stable transmission， fast storage and retrieval for data， adopted improved SSDA algorithm to sift out the fault information to analysis quickly， and submitted the fault analysis results electronically.

  Result  The experimental results show that this method has good application effects in mass data processing， rapid fault diagnosis， auxiliary decision support， etc. It can alleviate the pressure of information processing of dispatching control center and shorten the time delay of fault decision-making.

  Conclusion  The proposed method is effective and feasible to handle massive fault recording information reliably combined with the Guangxi power grid operation case.