In the 40872 regional automatic weather stations participating in information quality assessment, due to the initial information deviation of the position of station (POS), changed POS information, site demolition, and other reasons, the statements of POS information are inconsistent with the actual situation. It is necessary to inspect and found the abnormal stations so to improve the observation quality. Using the SQL index data query optimization and regular Chinese character matching technology, the altitudes and locations of the regional automatic weather stations are inspected, and the accuracy of POS’s is assessed. Statistical analysis indicates that the stations with altitude differrence within 20 m account for about 72%, those more than 100 m about 7%, those within 1 km about 62%, and those more than 10 km and no matching results about 6%. Study indicates that the most of the national regional automatic weather station POS data are accurate and applicable. The related management department should verify the abnormal changes of POS information, and the results of the evaluation can be used for finding the corresponding solution in operational applications.