Autor: |
Ying Li, Hong Wei Gu, Wen-hai Xu |
Rok vydání: |
2015 |
Předmět: |
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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 |
Externí odkaz: |
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