Multi-sensor Methane Detection System Based on LightGBM-Stacking Model Fusion

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Integrated Circuits and Embedded Systems ›› 2023, Vol. 23 ›› Issue (6) : 65-69.

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Multi-sensor Methane Detection System Based on LightGBM-Stacking Model Fusion

Liu Xiaofei, Chen Xiangdong, Ding Xing, Zhou Long

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Abstract

In the paper,a multi-sensor methane detection system based on LightGBM-Stacking module fusion is designed using multi-sensor detection technology combined with integrated learning method.The combination of constant voltage powered catalytic combustion type sensors,two pulse powered catalytic combustion type sensors,and heat conduction type sensors is used to achieve the purpose of full range detection.The experiment results show that the LightGBM-Stacking integrated model proposed in the paper has better performance in methane prediction accuracy,root-mean-square error and determination coefficient than the single algorithm model.

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STM32F103R8T6 / stacking integrated learning / machine learning / methane prediction

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Liu Xiaofei, Chen Xiangdong, Ding Xing, Zhou Long. Multi-sensor Methane Detection System Based on LightGBM-Stacking Model Fusion[J]. Integrated Circuits and Embedded Systems. 2023, 23(6): 65-69

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