1results about How to "Improve real-time detection" patented technology

This invention discloses a gas pipeline leak detection method based on the random forest algorithm, relating to the field of gas leak detection. The invention first collects and preprocesses monitoring data from combustible gas sensors in the gas pipeline, then extracts features from the preprocessed data and assigns classification labels based on actual leak conditions, constructing a gas pipeline leak detection dataset. Using this dataset as training samples, a model is trained based on the random forest algorithm to obtain a gas pipeline leak detection classification model. Finally, real-time monitoring data from each combustible gas sensor during gas pipeline operation is input into the trained classification model, and the pipeline leak status is determined based on the model's output. This invention, through standardized data preprocessing, feature engineering, model training, and parameter optimization processes, can achieve accurate identification and early warning of gas pipeline leak status, effectively improving the accuracy and efficiency of leak detection.