US 11,914,359 B2
Method and device for planning maintenance on at least one machine
Alexander Metzger, Eislingen (DE); and Stefanie Apprich, Stuttgart (DE)
Assigned to SCHULER PRESSEN GMBH, Goeppingen (DE)
Filed by SCHULER PRESSEN GMBH, Goeppingen (DE)
Filed on Jan. 31, 2022, as Appl. No. 17/588,422.
Application 17/588,422 is a continuation in part of application No. PCT/EP2020/070874, filed on Jul. 23, 2020.
Claims priority of application No. 10 2019 120 864.5 (DE), filed on Aug. 1, 2019.
Prior Publication US 2022/0155775 A1, May 19, 2022
Int. Cl. G05B 23/02 (2006.01); G05B 13/04 (2006.01)
CPC G05B 23/0283 (2013.01) [G05B 13/048 (2013.01); G05B 23/0224 (2013.01); G05B 23/0243 (2013.01); G05B 23/0262 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A device (10) for planning of maintenance work on a machine (11), comprising:
an input module (12) that is configured for receipt of sensor data (S) of the machine (11) and for generating input data (E) based on the sensor data (S),
a model database (17) in which multiple maintenance models (22) are stored for the maintenance work to be carried out, wherein each maintenance model (22) comprises a maintenance progress (23) with at least one maintenance step (24) and a resource (25) required for carrying out each maintenance step (24) and wherein each maintenance model (22) is linked with a model data pattern (26) comprising model sensor data (M),
a model module (14) is communicatively connected to the model database (17),
a resource database (18) in which resources (25) and their availability periods (30) are stored,
a resource module (15) that is communicatively connected to the resource database (18),
a planning module (13) that is communicatively connected with the input module (12), the model module (14), the resource module (15) and an interface module (16),
wherein the planning module (13) and/or the model module (14) is configured to carry out a comparison between the input data (E) and the model data pattern (26) and to select the maintenance model (22) assigned to the model data pattern (26) in case of determined conformity and to provide it in the planning module (13),
wherein the comparison between the input data (E) and the model data pattern (26) uses artificial intelligence algorithms for pattern recognition and/or pattern analysis in order to check whether the input data (E) and the model data pattern (26) comprising the model sensor data (M), are identical or similar,
wherein the planning module (13) and/or the resource module (15) is configured to check the availability of the resource (25) indicated in the selected maintenance model (22) and to confirm the resource availability in case of determined availability,
wherein the planning module (13) is configured to control the interface module (16) and to output the maintenance progress (23) comprising the at least one maintenance step (24) via interface module (16) to the required resource (25),
wherein the planning module (13) and/or the model module (14) is configured to correlate the input data (E) by means of a predefined correlation and to calculate an indicator value (IE) therefrom,
wherein the planning module (13) and/or the model module (14) is configured to compare the indicator value (IE) with a model indicator value (IM) assigned to the maintenance model (22) for carrying out the comparison, and,
wherein the planning module (13) and/or the model module (14) is further configured to determine a conformity between the input data (E) and the model sensor data (M), if the deviation between the indicator value (IE) and the model indicator value (IM) is less than a predefined maximum deviation.