Prediction method for refining property of pure component based on hierarchical group construction

The invention discloses a method for predicting refining properties of pure components based on hierarchical group construction, which is used for predicting octane number and cetane number of pure component compounds in petroleum products, and avoids redundancy of feature sets through hierarchical construction of component feature sets and introduction of hierarchical group construction. When a third-level component descriptor is added into a feature set, a Bayesian rule is introduced, so that posterior probability distribution estimation can be carried out on the feature set, and a feature set with a higher posterior probability is selected without only paying attention to prediction precision. On the basis, the Bayesian rule is introduced again, so that posterior probability distribution estimation can be carried out on the final model, and the over-fitting risk of the final prediction model is avoided. The method can be applied to a crude oil and product blending unit in the petrochemical industry, and th