Abstract: The invention provides a piping wall thinning prediction system, a piping soundness evaluation system, and a method which can evaluate a wall thinning amount, a wall thinning rate, and a remaining life at a high speed based on limited actual measurement results, and identify a location requiring monitoring in a piping in a plant. The wall thinning prediction system includes: a first AI evaluation unit configured to evaluate a fluid characteristic value of a piping based on an input value including piping shape information and information of a fluid in the piping; and a second AI evaluation unit configured to evaluate an index related to wall thinning of the piping based on an input value including the fluid characteristic value. The wall thinning prediction system is configured to predict the index related to the wall thinning of the piping.

Abstract: The present invention relates to a method which provides reliable image information that makes it possible to perform external inspections for defects in the welded parts of piping and the like using images such as movie images, still images and the like. Using a digital camera, digital video camera or the like, the reliability of images can be increased by adding information such as the time and place of imaging, air temperature, humidity, altitude, environment, sounds and the like to images. Furthermore, since imaging data is transmitted to a data managing company via the internet or the like immediately after imaging, the possibility of falsification by the person performing the imaging or the like is eliminated, so that the reliability of the images is increased, thus making it possible to obtain highly reliable image information.