The current electric energy metering device fault diagnosis technology has a large amount of calculation, which leads to low efficiency and low accuracy of the electric energy metering device fault diagnosis. For this reason, the electric energy metering device fault diagnosis technology based on parallel computing is designed. Use information clustering technology to sample information of electric energy metering devices, preprocess data through threshold method, remove redundant data, and establish discriminant function, use parallel computing method to process fault data, execute multiple fault data processing instructions at the same time, and pass discriminant function Judge the probability of failure and gather the same kind of failure data together to realize the fault diagnosis of the electric energy metering device. The experimental results show that the proposed electric energy metering device has high fault diagnosis accuracy, and under the data volume of 17MB and 1024MB, the researched technology can complete the fault diagnosis in a relatively short time.