Data Fusion Algorithms of Temperature in Fresh Grape Cold Chain Transportation Based on Multi-sensor

Abstract

By grouping several sensors in the cold chain transport vehicle, this paper proposes a fusion estimation method based on temporal-space data fusion algorithm, which can accurately measure the environmental state of the refrigerated carriage. The results show that the time-space data fusion algorithm can correct the variance of each group of data, adjust the correction factors of each group of sensors in real time, and weaken the influence of large errors on monitoring results. Its fusion accuracy is better than batch estimation method and arithmetic average method. The algorithm proposed in this paper can more accurately reflect the environmental state of refrigerated vehicle, and has a certain practical application value.