Intelligent piping inspection machine

A system for automated inspection of a pipe using artificial intelligence, the system comprising:

• a housing;
• a positioning apparatus configured to position the pipe with respect to the housing;
• a laser scanner coupled to the housing and configured to scan a size and dimensions of the positioned pipe;
• a camera coupled to the housing and configured to capture images of the positioned pipe;
• an artificially intelligent module trained through machine learning to match input size data to standardized pipe types and output corresponding specifications and historical data of the standardized pipe types from a non-transitory memory device;
• and
• an inspection circuit configured to:
• control the scanning of the size of the positioned pipe by the laser scanner and the capturing of images of the positioned pipe by the camera;
• identify a specification and historical data of a type of the pipe by inputting the scanned size to the artificially intelligent module;
• control the scanning of the dimensions of the positioned pipe by the laser scanner using the scanned size and a dimension portion of the identified historical data;
• compare the scanned dimensions and the captured images with standard dimensions from the identified specification;
• detect a dimension nonconformity of the pipe when the scanned dimensions or the captured images are not within acceptable tolerances of the standard dimensions;
• and
• in response to detecting the dimension nonconformity, generate an alert and update the memory device to reflect the detected dimension nonconformity in the dimension portion of the identified historical data.

A non-transitory computer readable medium (CRM) having computer instructions stored therein that, when executed by a processing circuit, cause the processing circuit to carry out an automated process of inspecting a pipe using artificial intelligence, the process comprising:

• controlling a scanning of a size and an appearance of the pipe by a laser scanner and a camera, the pipe having been positioned with respect to the laser scanner and the camera using a positioning apparatus;
• identifying a specification and historical data of a type of the pipe by inputting the scanned size and appearance to an artificially intelligent module trained through machine learning to match input size and appearance data to standardized pipe types and output corresponding specifications and historical data of the standardized pipe types from a non-transitory memory device;
• controlling a scanning of dimensions of the positioned pipe by the laser scanner using the scanned size and a dimension portion of the identified historical data;
• comparing the scanned dimensions with standard dimensions from the identified specification;
• detecting a dimension nonconformity of the pipe when the scanned dimensions are not within acceptable tolerances of the standard dimensions;
• and
• in response to detecting the dimension nonconformity, generating an alert and updating the memory device to reflect the detected dimension nonconformity in the dimension portion of the identified historical data.