Abstract: According to the observation data of Ya 'an ground meteorological station, an element-level monitoring and alert system was developed and tested. The results show that the system aims to improve the availability of data quality. Through the investigation and analysis of the possible errors or abnormal information of each quantitative element in the operation of the ground meteorological observation station, the abnormal judgment criteria are formulated in combination with the regional climate characteristics, and the observation values are tested and generated. The false alarm information is sent to the business personnel by using ' Ali Dingding ' and ' Skyscope Centralized Alarm Platform ' (Enterprise WeChat), and the log record is completed at the same time. From data acquisition, analysis to anomaly determination, information transmission, and log recording, the system not only realizes unattended full-automatic operation (without increasing the workload of business personnel), but also shortens the discovery time of suspicious data from a few days to within 24 hours, and also increases the data availability from 98.65 % in 2002 to 99.92 % in 2024.