A Trend Analysis Method Design of Measurement Data Based on Time Series

In this paper, a method for analyzing the trend of time series measurement data based on vector inner product is designed. The key action time series is taken as the time datum, the measurement data based on time series and the data processed by computer are piecewise aligned, and the influence of the random error is eliminated by calculating the inner product of the time course of the measurement data and the time course of the historical measurement data. To judge the relationship between the two plane positions and realize the trend correctness analysis of real-time measurement information. It is proved that the proposed algorithm can effectively calculate the trend of measurement data based on time series and analyze whether it is correct or not.