US 12,405,251 B2
Piping wall thinning prediction system, piping soundness evaluation system, and method
Shirou Takahashi, Tokyo (JP); Akinori Tamura, Tokyo (JP); Michiaki Kurosaki, Hitachi (JP); and Yoshizumi Fukuhara, Hitachi (JP)
Assigned to HITACHI-GE NUCLEAR ENERGY, LTD., Ibaraki (JP)
Filed by Hitachi-GE Nuclear Energy, Ltd., Ibaraki (JP)
Filed on Mar. 10, 2022, as Appl. No. 17/691,156.
Claims priority of application No. 2021-049784 (JP), filed on Mar. 24, 2021.
Prior Publication US 2022/0308016 A1, Sep. 29, 2022
Int. Cl. G01N 29/07 (2006.01); G01N 29/04 (2006.01)
CPC G01N 29/07 (2013.01) [G01N 29/043 (2013.01); G01N 2291/02854 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A wall thinning prediction system comprising:
a computer programmed to:
receive information of a fluid in a plant from a sensor,
receive pipe shape information from Computer Aided Design (CAD) data,
execute a first learned artificial intelligence (AI) evaluation unit configured to obtain fluid characteristic values of piping of the plant based on inputs of the received information of the fluid and the pipe shape information,
execute a second learned AI evaluation unit configured to obtain an index related to wall thinning of the piping based on the fluid characteristic values obtained from the first learned AI evaluation unit and the received information of the fluid, and
predict the index related to the wall thinning of the piping based on the index related to wall thinning obtained by the second learned AI evaluation unit.