Level 1 remote sensing data of polar meteorological satellite are the basis of quantitative application of remote sensing information, which can ensure the data quality at the most extent when the abnormal phenomenon of affecting the integrity and timeliness of level1 remote sensing data is known, and the abnormal problem is located and solved as fast as possible. Taking the FY3B satellite as an example, with the operating experiences accumulated by the National Satellite Meteorological Center for many years, the quality problems of FY3B are classified, and then some quality assurance technologies are studied, aiming at problematic phenomena, reason locations, and solutions. The findings provide proposals for the ground application system to further improve the quality of level1 data.