Use of Online Temperature Monitoring System for the Surface Accurate Temperature Detection of Open Coal Stockpile

Autor: Ying Li, Hong Wei Gu, Wen-hai Xu
Rok vydání: 2015
Předmět:
Zdroj: Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation ISBN: 9789462391444
DOI: 10.2991/978-94-6239-145-1_65
Popis: Thermal infrared (TIR) imaging has been successfully applied in the security monitoring and temperature detection of coal stockpile. In this paper, an online temperature monitoring system is designed based on the TIR imaging technique. The temperature correction algorithm is proposed to reduce the affect of weather condition to temperature measurement accuracy. And the temperature correction algorithms composed of infrared imager spatial effect correction, atmospheric radiation transmission correction, and reflect radiation correction. The surface temperature of the coal stockpile in the infrared image can be acquired by calculated these three correction using parameters such as weather condition, geographic coordinates and infrared imaging acquisition time. The experimental results of the temperature correction in different weather conditions indicate that the temperature measurement average error of monitoring system is reduced from 13.88 to 0.97 %. And the temperature correction is an effective method to calculate the accurate surface temperature of coal stockpile.
Databáze: OpenAIRE