US 11,897,068 B2
Information processing method, information processing system, and information processing device
Yasuhiko Morita, Yamatokoriyama (JP); Masafumi Takahashi, Sapporo (JP); Satoshi Miyamoto, Yamatokoriyama (JP); Sumihiro Kiyota, Yamatokoriyama (JP); Masakazu Takayama, Yamatokoriyama (JP); and Katsuhiko Ono, Yamatokoriyama (JP)
Assigned to DMG MORI CO., LTD., Yamatokoriyama (JP)
Appl. No. 16/467,901
Filed by DMG MORI CO., LTD., Yamatokoriyama (JP)
PCT Filed Aug. 24, 2017, PCT No. PCT/JP2017/030288
§ 371(c)(1), (2) Date Jun. 7, 2019,
PCT Pub. No. WO2018/105175, PCT Pub. Date Jun. 14, 2018.
Claims priority of application No. 2016-239830 (JP), filed on Dec. 9, 2016.
Prior Publication US 2020/0061768 A1, Feb. 27, 2020
Int. Cl. B23Q 17/09 (2006.01); G05B 13/02 (2006.01); G05B 23/02 (2006.01)
CPC B23Q 17/0995 (2013.01) [G05B 13/024 (2013.01); G05B 13/0265 (2013.01); G05B 23/0229 (2013.01); B23Q 17/0952 (2013.01); B23Q 2717/003 (2013.01)] 5 Claims
OG exemplary drawing
 
1. An information processing method comprising the steps of:
communicating with a plurality of machine tools, the plurality of machine tools each including a sensor to sense information about each of the plurality of machine tools as sensed information,
the step of communicating including the step of receiving as collected data from each of the plurality of machine tools part information about a part of each of the plurality of machine tools and the sensed information obtained by each sensor;
storing in a storage unit the collected data received from each of the plurality of machine tools;
based on the collected data stored in the storage unit, learning for each type of the part a correlation between part information of each of the plurality of machine tools of the plurality of machine tools and respective sensed information obtained by the sensor for each of the plurality of machine tools;
utilizing at least one of the plurality of machine tools to process at least one workpiece and to collect current operation data; and
performing a self-diagnosis routine utilizing the correlation and the current operation data.