Corrosion prediction method

A corrosion prediction method of predicting a corrosion amount of a vehicle, the corrosion prediction method comprising:

• a first step of acquiring corrosion environment data of a vehicle and corrosion amount data of the vehicle, the corrosion environment data including at least a temperature, a humidity, a salt concentration, and a traveling time for each road surface state;
• a second step of constructing a corrosion prediction model by performing machine learning using the corrosion environment data acquired in the first step as an explanatory variable and the corrosion amount data acquired in the first step as an objective variable, and defining an explanatory variable having a high correlation with the corrosion amount among the corrosion environment data as a corrosion promoting factor;
• a third step of acquiring vehicle data including position information of the vehicle, and meteorological data based on the position information of the vehicle;
• a fourth step of constructing a corrosion promoting factor selection model by performing machine learning using the vehicle data and the meteorological data acquired in the third step as explanatory variables and the corrosion promoting factor defined in the second step as an objective variable;
• and
• a fifth step of predicting a corrosion amount of a vehicle based on the vehicle data of a vehicle to be predicted, the meteorological data based on the position information of the vehicle to be predicted, and the corrosion promoting factor selection model constructed in the fourth step.