In order to achieve the quality control of the detection equipment-level data of the regional automatic weather station, and to improve the stability, authenticity and reliability of the weather detection data from the observation source, this paper is based on the existing technical architecture of the regional automatic weather station, using 3 temperature sensors, 3 rainfall sensors, 2 A wind sensor and an intelligent control unit transform the existing regional automatic weather station, which mainly realizes the multi-sensor redundant observation of the non-linear variables (temperature, rainfall, wind direction, wind speed) of the meteorological observations. By setting the front-end algorithm of the collector, Perform threshold cross-validation on multiple detection data of the same element at the same time to obtain the optimal detection data.The test results prove that the multi-sensor redundant observation technology can effectively improve the uncertainty and instability of single-sensor measurement results, and it is of great significance to improve the availability and accuracy of detection data from regional automatic weather stations.