Error Data Elimination Method Simulation for Meteorological Information Electronic Collection System

In this paper,the accurate elimination of meteorological information and electronic data acquisition system errors were researched.We proposed an error exclusion method for meteorological information and electronic collection system in which a secondary fuzzy clustering algorithm using was applied.Furthermore,a means clustering method was used,and the initial classification of meteorological information was performed.The different categories of information in the error message were filtered using the secondary fuzzy clustering method,so that the erroneous data can be eliminated.The experimental results show that the algorithm can effectively improve the accuracy of the results obtained by meteorological information and electronic collection system.