The micro meteorology of the power grid environment refers to small-scale meteorological phenomena near or directly affecting the power grid facilities. Each element will undergo significant changes within a small range, which will have a significant impact on the safe operation of the power grid. Accurately evaluating the operating environment of the power grid can provide strong support for the safe and stable operation of the power grid. Therefore, accurate analysis and prediction of micro meteorology in the power grid environment is particularly crucial. This article studies the micro meteorological analysis and prediction method of power grid environment based on micro sensors. Firstly, embed micro sensors into highly integrated micro meteorological stations and obtain micro meteorological data of the power grid environment based on fiber optic grating technology; Then, based on the real-time micro meteorological data obtained, the variation characteristics of each influencing factor in the data are extracted using the mean method; Finally, taking into account all influencing factors, a micro meteorological prediction model for the power grid environment is constructed based on the most significant threatening features among the influencing factors, in order to predict changes in the micro meteorological environment. The experimental results show that using the risk factors of wind deviation angle in the micro environment of the power grid as the analysis object, the designed method can achieve the correlation ranking of wind deviation angle related factors, achieve accurate prediction of sample data, and have application value.