| Popis: |
When an electricity meter is calibrated under the condition of non-reference temperature, it is generally necessary to correct the verification result according to the actual temperature of the verification environment, and then judge whether the electricity meter is qualified. Under the mode of large-scale automatic verification, the space of workplace can reach thousands of square meters, and the temperature distribution is uneven. In order to reduce the cost of controlling verification environment temperature, the effort of trying to broaden the range of verification environment temperature has been always made by researchers. The problem is that it is difficult to make an effective judgment on the batch verification results based on the verification data. Under this circumstance, a data analysis method which helps to ensure weather the verification results are effective is needed. In this paper, the batch electricity meters verification experiment is designed and carried out firstly, then the distribution characteristics of verification data are studied, and the conclusion is obtained that the distribution type of verification data is normal distribution. On this basis, the method based on parameter test is used to analyze the data consistency, which shows that this data analysis method can make auxiliary evaluation on the validity of verification data produced in non-reference temperature environment. The data analysis method described in this paper can be applied to the operation state evaluation of large-scale automatic verification system and can also provide data analysis means for broadening the range of environment temperature for large-scale automatic verification. |
