Abstract: A pipe inspection method includes a first process of disposing an outside coil and a camera outside a thermal insulator, a second process of measuring the thickness of a pipe at a position of an ultrasonic sensor fixed in advance to an inside of the thermal insulator and to the outer surface of the pipe, by using the ultrasonic sensor, an inside coil, the outside coil, and a controller, a third process of photographing the thermal insulator with the camera, a fourth process of removing the thermal insulator from the pipe when judging an abnormality in the thickness of the pipe at the position of the ultrasonic sensor or in the appearance of the thermal insulator, a fifth process of disposing another ultrasonic sensor on the outer surface of the pipe, and a sixth process of measuring the thickness of the pipe at the position of the other ultrasonic sensor.

Abstract: An ultrasonic inspection apparatus includes a control device 12 that outputs a pulse signal for making an ultrasonic probe 11A transmit an ultrasonic wave to the ultrasonic probe 11A and that is supplied with a waveform signal obtained by converting the received ultrasonic wave from an ultrasonic probe 11B, and that computes a thickness reduction depth of a pipe 1 between the ultrasonic probe 11A and the ultrasonic probe 11B. The control device 12 computes the thickness reduction depth of the pipe 1 by selectively using a reception time of the ultrasonic wave transmitted from the ultrasonic probe 11A, reflected once by an inner surface 3 of the pipe 1, and received by the ultrasonic probe 11B, and a reception time of the ultrasonic wave transmitted from the ultrasonic probe 11A, reflected twice by the inner surface 3 of the pipe 1, and received by the ultrasonic probe 11B.

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.