US 12,135,536 B2
Method, system and computer program product for monitoring a shaping process
Patrick Braun, Ghent (BE); and Herwig Koppauer, Linz (AT)
Assigned to ENGEL AUSTRIA GMBH, Schwertberg (AT)
Filed by ENGEL AUSTRIA GmbH, Schwertberg (AT)
Filed on Jun. 17, 2022, as Appl. No. 17/843,082.
Claims priority of application No. A 50505/2021 (AT), filed on Jun. 21, 2021.
Prior Publication US 2022/0404792 A1, Dec. 22, 2022
Int. Cl. G05B 19/18 (2006.01); G06N 5/02 (2023.01)
CPC G05B 19/182 (2013.01) [G06N 5/02 (2013.01); G05B 2219/45244 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A method for monitoring a molding process carried out in cycles, wherein a data collection is provided which contains at least the following data:
in each case cycle data of the molding process carried out on a molding machine for past cycles, and
quality data from molded parts produced using the molding machine for at least some of the past cycles,
and wherein, with the molding machine, at least one further cycle of the molding process is carried out as well as current cycle data of the at least one further cycle are gathered, wherein the following further steps are carried out:
determining at least two nearest neighbors in the form of the cycle data from at least two of the past cycles, such that the cycle data of the at least two nearest neighbors lie nearer to the current cycle data than the cycle data which do not pertain to the at least two nearest neighbors, wherein only those past cycles for which quality data are contained in the data collection are used for the determination of the at least two nearest neighbors,
checking a predictability criterion, wherein it is checked whether a quality variation of the quality data of the cycles of the at least two nearest neighbors is smaller than a maximum variation and/or larger than a minimum variation and,
if the predictability criterion is not met, issuing a first notification that a quality and/or a quality datum of the molded part produced with the at least one further cycle is not reliably predictable.