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Reliability prediction method of smart meter based on Hadoop platform and published parameter estimation

Smart meter is an important electrical measurement equipment in the construction of smart grid, its operation reliability will directly affect the safety and stability of the grid. Therefore, a reliability prediction method that can accurately predict smart meters is of great practical significance for building a strong smart grid. First of all, build a smart meter reliability prediction architecture based on the Hadoop cloud computing platform; then, with real-time data, the Weibull distribution parameter method and fuzzy binary ranking method are used to obtain the optimal failure rate of the smart meter; finally, the smart meter life and reliability of the predictions is analyzed, and ultimately the reliability of smart meters is expected to optimize the method. The results of calculation examples show that the proposed forecasting method is consistent with the actual situation of the reliability prediction of the meter, and the design ideas and methods of the forecasting method have theoretical and practical significance for smart meter manufacturing and using enterprises.