Machine learning-based fuel gas component analysis method and system and device

A machine learning-based fuel gas component analysis system, comprising:

• an acquisition module, configured to acquire the flue gas oxygen content, the flue gas carbon dioxide content, the flue gas carbon monoxide content and the flue gas water content in a flue gas, as well as the fuel gas density, the combustion chamber temperature and the air absolute humidity;
• a first processing module, configured to obtain the content of water produced by fuel gas combustion in the flue gas through the water content relationship according to the flue gas carbon monoxide content, the flue gas water content and the air absolute humidity;
• a second processing module, configured to obtain the excess air coefficient through the excess air relationship according to the flue gas oxygen content, the flue gas carbon monoxide content and the flue gas carbon dioxide content;
• and
• a prediction module, configured to input the excess air coefficient, the flue gas oxygen content, the flue gas carbon dioxide content, the flue gas carbon monoxide content, the content of water produced by fuel gas combustion in the flue gas, the fuel gas density and the combustion chamber temperature into a trained fuel gas component prediction model, and output a fuel gas component analysis result.