US 12,120,804 B2
Method for operating a domestic cooking appliance and domestic cooking appliance
Markus Kuchler, Gstadt am Chiemsee (DE); Kerstin Rigorth, Mühldorf (DE); Sebastian Sterz, Großaitingen (DE); and Matthias Vogt, Obersulm (DE)
Assigned to BSH Hausgeräte GmbH, Munich (DE)
Appl. No. 17/287,547
Filed by BSH Hausgeräte GmbH, Munich (DE)
PCT Filed Nov. 4, 2019, PCT No. PCT/EP2019/080108
§ 371(c)(1), (2) Date Apr. 22, 2021,
PCT Pub. No. WO2020/094573, PCT Pub. Date May 14, 2020.
Claims priority of application No. 10 2018 219 086.0 (DE), filed on Nov. 8, 2018.
Prior Publication US 2021/0385917 A1, Dec. 9, 2021
Int. Cl. H05B 6/68 (2006.01); F24C 7/08 (2006.01); H05B 6/64 (2006.01); H05B 6/72 (2006.01)
CPC H05B 6/687 (2013.01) [F24C 7/087 (2013.01); H05B 6/6455 (2013.01); H05B 6/725 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for operating a household cooking appliance, comprising:
a data processing device for operating the household cooking appliance by:
a) operating a food handling device for treating food located in a cooking chamber of the household cooking appliance, wherein the food is able to be treated locally differently by at least two parameter configurations, in a p-th iteration step, where p≥1, for a predetermined time period with a q-th parameter configuration, where q≤p,
b) in response to the predetermined time period has expiring, determining with a sensor directed into the cooking chamber a p-th measured value distribution of a surface property of the food,
c) comparing the p-th measured value distribution with a (p−1)-th measured value distribution recorded before step a), and calculating therefrom a pattern of change and storing the pattern of change,
d) calculating for each stored pattern of change a respective assessment value which represents a difference between a deviation of a target distribution from the measured value distribution and a deviation of the target distribution from a prediction pattern, with the prediction pattern representing a superimposition of the measured value distribution with the respective pattern of change,
e) setting a parameter configuration of the at least two parameter configurations having a corresponding assessment value that satisfies at least one predetermined criterion,
f) calculating for the p-th measured value distribution a quality value that specifies a deviation of the p-th measured value distribution from a target measured value distribution, and
g) based on the quality value having a smaller deviation from the target measured value distribution than a (p−1)-th quality value, returning to step a) while maintaining a current parameter configuration, and
h) based on the quality value having a larger deviation from the target measured value distribution than the (p−1)-th quality value, setting a new parameter configuration, and thereafter returning to step a).