Prediction apparatus and method for N value using artificial intelligence and data augmentation

An N-value prediction apparatus, comprising;

• a hypothetical learning data augmentation unit, based on an actual N-value measured at an actual location according to the Standard Penetration Test through drilling investigation, generating at least one of hypothetical N-values corresponding to a preset hypothetical point based on the actual location;
• an N-value prediction model learning unit learning ground characteristic data corresponding to each of the actual location and the hypothetical point by artificial intelligence, the ground characteristic data including the actual N-value and the hypothetical N-values;
• and
• an N-value prediction result calculation unit predicting an N-value at an arbitrary prediction target point by using an N-value prediction model generated by artificial intelligence learning executed in the N-value prediction model learning unit,
• wherein the hypothetical learning data augmentation unit uses circular augmentation where multiple hypothetical points are set up radially in a certain distance centering the actual location-,
• wherein the multiple hypothetical points consist of 8 points in a radius of 0.5 m, 12 points in a radius of 1 m, and 16 points in a radius of 2 m centering around the actual location.