US 12,142,423 B2
Solenoid valve abnormality detection device, automatic medical analysis apparatus using same, and solenoid valve abnormality detection method
Guangbin Zhou, Tokyo (JP); Hiroshi Suzuki, Tokyo (JP); Gorou Yoshida, Tokyo (JP); and Kazuhiro Tanaka, Tokyo (JP)
Assigned to HITACHI HIGH-TECH CORPORATION, Tokyo (JP)
Appl. No. 17/997,382
Filed by HITACHI HIGH-TECH CORPORATION, Tokyo (JP)
PCT Filed Mar. 2, 2021, PCT No. PCT/JP2021/007844
§ 371(c)(1), (2) Date Oct. 28, 2022,
PCT Pub. No. WO2021/229895, PCT Pub. Date Nov. 18, 2021.
Claims priority of application No. 2020-083774 (JP), filed on May 12, 2020.
Prior Publication US 2023/0230741 A1, Jul. 20, 2023
Int. Cl. H01F 7/18 (2006.01); F16K 31/06 (2006.01); F16K 37/00 (2006.01)
CPC H01F 7/1844 (2013.01) [F16K 31/06 (2013.01); F16K 37/0041 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A solenoid valve abnormality detection device for detecting an abnormality of a solenoid valve based on a driving current pattern which is associated with solenoid valve opening of the solenoid valve and which is detected by a current sensor, the solenoid valve abnormality detection device comprising:
a feature data extraction unit configured to obtain feature data of the driving current pattern associated with the solenoid valve opening of the solenoid valve in a predetermined detection period;
a feature data correction unit configured to estimate a solenoid valve temperature of the solenoid valve based on a saturation current value of the solenoid valve, and correct a value of the feature data obtained by the feature data extraction unit to a value at a reference temperature that is based on the estimated solenoid valve temperature; and
an opening state estimation unit configured to estimate an opening state of the solenoid valve using an estimation model configured to estimate the opening state of the solenoid valve based on the feature data of the driving current pattern associated with the solenoid valve opening of the solenoid valve and the value of the feature data corrected by the feature data correction unit.