河北软件职业技术学院学报

自动气象站中业务数据的形成，以及程序运行流程等多种情况都会用到数据字典。由于自动气象站数据字典中元素多、流程复杂导致程序极易出现错误，因此提出数据字典自动维护方法。经过精确查找，筛选出需要订正与维护的数据，通过求概率距离、词性距离，选出可能匹配的值，再结合哈希字典进行校正以达到对整个数据字典自动维护的效果，减少不必要的错误与程序员的排错时间。

Data dictionaries are used in various situations such as the formation of business data and program operation processes in automatic weather stations. Due to the large number of elements and complex process in the automatic weather station data dictionary, the program is prone to errors. Therefore, an automatic maintenance method for the data dictionary is proposed. After precise searching, the data that needs to be corrected and maintained is selected.By calculating the probability distance and part of speech distance, possible matching values are selected, and then combined with a hash dictionary for correction to achieve automatic maintenance of the entire data dictionary, reducing unnecessary errors and programmers' troubleshooting time.