Duct Void Detection System and Learning Apparatus of Duct Void Detection Model Using Artificial Intelligence Learning Model

摘要

A duct cavity detection system using an artificial intelligence learning model is provided. The duct cavity detection system includes a duct cavity detection model learning device and a cavity generation determination device. The joint detection model learning apparatus includes: a first learning model that performs learning by inputting standardized detection data and structure information; A second learning model that performs learning by inputting a frequency signal; And a third learning model that learns a result value of the first learning model and a result value of the second learning model and provides it to an output layer, wherein the co-occurrence determination device comprises the co-occurrence determination model Based on the detection data and structure information for the structure including the duct, it is determined whether or not a cavity occurs for the structure. With only detection data and structure information, on-site practitioners can quickly and accurately determine whether or not a structure is co-occurring, reducing the time and cost required for internal exploration.