Transactions of Nanjing University of Aeronautics & Astronautics
A Detection Method of Ice Accretion Based on Flash Pulse Infrared Thermography
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Abstract:
Ice detection plays a crucial role in operation of anti/de-icing systems. An ice detection method exploiting infrared thermal wave detection technology was proposed， followed by the identification of the edge， thickness and shape reconstruction of ice accretion using the related processing techniques. An active infrared ice detection experimental platform was constructed by flash pulse infrared technology. With regular and step-shaped ice samples prepared， the infrared thermal signals of the ice accretion were captured by an infrared thermal imager. A comparative analysis of the edge detection effects was conducted between the traditional edge detection methods and a new edge detection algorithm combining Gaussian-Laplacian pyramids and area filtering. Through the spatiotemporal correlation of the ice thermal signal， an end-to-end infrared detection ice thickness prediction model （i.e.， convolutional neural network-long short term memory-efficient channel attention （CNN-LSTM-ECA）） was constructed by introducing the attention mechanism into the LSTM model， with the thickness of the ice predicted. Further， three-dimensional reconstruction of ice accretion was performed by combining the edge detection and thickness prediction. It concluded that both traditional and new edge detection algorithms based on Gaussian-Laplacian pyramids and area filtering can be used to detect the outer edge of the ice， but the new algorithm shows a significant advantage in detecting the ice edge with internal step boundaries. The CNN-LSTM-ECA thickness prediction model based on signal features performs well in prediction accuracy， stability， and noise resistance. The data for reconstructing three-dimensional ice accretion shape come from the collected digital signals and thermal images， which are not limited by temperature reading and heat transfer conditions， and have a wider application prospect. This paper provides a reference for exploring an effective accurate and quantitative identification method for ice accretion detection based on flash pulse infrared thermography.
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Project Supported:
This work was supported by the Open Fund of Key Laboratory of Icing and Anti/De-icing （No.IADL20200201） and the National Natural Science Foundation of China （No.62171271）.
Clc Number:
V248.1
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