Identification of Interference Signals in Infrared Temperature Measurement of Pavement

Home > Archive>Volume 44, Issue 8, 2021 >141-149

Identification of Interference Signals in Infrared Temperature Measurement of Pavement
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                        Gu PingyueGu Pingyue
1.Nanjing University of Information Science and Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2.Aerospace Newsky Technology Co., Ltd, Wuxi 214127, China
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Xing Hongyan1Xing Hongyan
Nanjing University of Information Science and Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China
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Xu Ming2Xu Ming
Aerospace Newsky Technology Co., Ltd, Wuxi 214127, China
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Sun Lixin2Sun Lixin
Aerospace Newsky Technology Co., Ltd, Wuxi 214127, China
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Affiliation:1.Nanjing University of Information Science and Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2.Aerospace Newsky Technology Co., Ltd, Wuxi 214127, China
Clc Number:TP274+.2
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Abstract:

This paper provided a method to improve the accuracy of infrared temperature measurement on pavement by an accelerated K-means clustering separation interference signal based on the mean-standard deviation for initial central，using the temperature difference between the road surface and the vehicle，the standard deviation of the vehicle signals，and the duration of the interference signal to separate vehicle interference, low-speed obstacles, and environmental mutations data and retain environmental mutation data. The recognition rate of this method for interference signals is 95.6% on sunny days, 90.9% on cloudy days, and 78.2% on cloudy and rainy days, which effectively improves the accuracy of on-surface infrared temperature measurement on the road surface.

Key words:pavement temperature;infrared temperature;vehicle interference;K-means

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Online: October 11,2024
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