Method and device for predicting pollutant chlorination degradation rate based on machine learning

The invention discloses a method and device for predicting the chlorination degradation rate of pollutants based on machine learning, and belongs to the technical field of environment monitoring. The method comprises the following steps: through a chlorination degradation experiment, obtaining a secondary reaction rate constant of a chlorination degradation compound standard substance, obtaining a molecular descriptor, and constructing a database; constructing a chlorination degradation rate prediction model, training the constructed model by adopting a database, and adjusting parameters of the model; for an actual target compound, obtaining a molecular descriptor of the target compound, inputting the molecular descriptor into the trained chlorination degradation rate prediction model for prediction, and outputting a prediction result; performing a chlorination degradation experiment on the target compound to obtain an actual secondary reaction rate constant; and comparing the prediction result with the actua