2results 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.

The application discloses a kind of open area unmanned aerial vehicle real-time moving target detection method, including the following steps: open area moving target dataset construction, the dataset suitable for open area moving target detection is constructed;Baseline establishment of airborne detection model, the lightweight baseline network containing only shallow high-definition features is constructed;Multi-scale target detection module is established;Anti false target loss function is established;Two-stage real-time inference detection on machine, after inverse mapping back to full map of detailed frame, high-confidence frame is output final detection result after non-maximum suppression.This open area unmanned aerial vehicle real-time moving target detection method is set through the above steps, significantly improve the real-time detection of model in unmanned aerial vehicle airborne environment, ensure that detection result is instant feedback, can be well applied to the real-time detection demand of moving target under open area.