Because of the unique platform advantage, the satellite-based lightning detection in geostationary orbit can continuously obtain the observation information of all lightning activities in a large field of view, which is a new direction for the development of lightning detection technology in the future. LMI (Lightning Mapping Imager) is the first satellite-based Lightning optical imaging observation instrument in China. It is independently developed on the basis of less prior knowledge, and its technical indicators are in the forefront in the world. However, LMI still faces many challenges such as data quality control and verification. For the widely used LMI Level-2 1-minute quantitative Group data (LMIG), according to the coupling relationship between lightning activities and severe weather processes, a multi-level data quality control technology based on multi-source meteorological data is proposed in this paper, through comparison with third-party data, the quality control effect was evaluated and optimized to effectively eliminate the error data and improve the quality of LMI data. The work of this paper provides the basis for the application of LMI data, and it also helps to promote the exploration of satellite-based lightning observation technology and the improvement of instrument performance in China.