In the paper,a multi-sensor information fusion monitoring system based on CatBoost algorithm is designed for combustible gas ignition and explosion state.In this system,a catalytic combustion sensor with faster response time and an infrared methane sensor with a larger measurement range are used for methane acquisition,making it fast and able to detect methane concentration in a high-concentration gas environment.The sensor data obtained are selected by gradient lifting tree algorithm to select the characteristics that can best characterize the state of ignition and detonation.Then SMOTEENN algorithm is used to deal with class unbalance of feature set.Finally,CatBoost algorithm is used to classify and train the data to get the prediction model.The model has high accuracy for classification of combustible gas explosion state.
Key words
multi-sensor information fusion /
SMOTEENN /
CatBoost
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