Implement method for water film thickness sensor based on bilinear interpolation algorithm

Abstract

The invention discloses an implement method for a water film thickness sensor based on a bilinear interpolation algorithm. The method includes the following steps that amplitude values Aik and phase values Pik which correspond to different water film thicknesses Hi at different temperature Tk are measured, wherein k= (1, 2, 3, ..., n), i = (1, 2, ..., m), m represents the number of selected water film thickness values, and the values of water film thickness Hi are selected according to a measurement accuracy of the water film thickness; a current temperature T0 is measured, a piecewise bilinear interpolation for the temperature is performed to obtain an amplitude value Am0 and a phase value Pm0 at the current temperature, and T0 E(T1,Tn). According to the implement method for the water film thickness sensor based on the bilinear interpolation algorithm, a collecting capacity of calibration data is reduced, the calibration efficiency is improved, the calculating speed is accelerated, a measuring resolution ratio is improved, the temperature drift phenomenon is reduced, and thereby performances of the water film thickness detection sensor are remarkably improved.

Description

Technical field [0001] The water film thickness detection sensor implementation method using a dual -linear interpolation algorithm is the parameter estimation area of the microwave measurement technology, which is specifically used to estimate the calibration data of the water film thickness of different temperatures. Background technique [0002] In recent years, the scale of highway construction is huge, so the monitoring and maintenance of a large number of road pavement is becoming increasingly important.In the actual use of road pavement, the stagnant water will adversely affect the entire pavement structure and greatly increase the chance of the occurrence of traffic accidents.The thickness detection sensor can accurately measure the water thickness of the road, so as to achieve real -time measurement and early warning of the road pavement. It is of great significance for the informatization and intelligence of highway systems and prevention and early warning of traffic ac...

AI Technical Summary

Problems solved by technology

However, the actual water film thickness test value is significantly affected by the ambient temperature, resulting in temperature drift and large errors. At the same time, due to the limitation of actual measurement conditions, it is impossible to obtain a large number of water film thickness calibration data at different temperatures for use in Calibration of the sensor

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