IP Library Granted Patent US 11,553,817
Granted Patent B2
US 11,553,817 · App. 16/467,095 · Granted Jan 17, 2023

Food processing apparatus, control device and operating method

Inventors: Yafang Jin (Shanghai, CN); ZhongChi Luo (Shanghai, CN); Haitao Feng (Shanghai, CN)
Assignee: KONINKLIJKE PHILIPS N.V.
A47J37/0641A21B1/26A23L5/15A23L5/17A23L13/50A23L17/00A47J36/321F24C15/32A23V2002/00
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Quick Facts
Patent No.
US 11,553,817
App. No.
16/467,095
Granted
Jan 17, 2023
Kind
B2
Abstract

The present disclosure relates to a control device for a food processing apparatus, and to a food processing apparatus, the apparatus comprising a food processing compartment ( 3 ) for a food substance, a heating unit ( 15 ) arranged to apply a heating procedure to the food substance, a weight sensor ( 44 ) arranged to monitor the weight of the processed food substance, and a control device ( 40 ) that is arranged to obtain weight information for the food substance, compute a derivative signal that is indicative of a weight loss rate of the food substance, compute a characteristic value of the derivative signal, and in an initial stage of the heating procedure, based on the characteristic value, determine an estimate for an initial fat content of the food substance, for the ongoing heating procedure, and/or an estimate for a resulting fat content change for the food substance. The present disclosure further relates to a method of operating a food processing apparatus.

Claims (26)

1. A food processing apparatus, comprising:

a food processing compartment for a food substance,

a heating unit arranged to apply a heating procedure to the food substance,

a weight sensor arranged to monitor a weight of the food substance that is processed in the food processing compartment, and

a control device that is arranged to:

obtain weight information for the food substance during the heating procedure,

compute a derivative signal that is indicative of a weight loss rate of the food substance,

compute a characteristic value of the derivative signal at least by computing an absolute weight loss rate of the food substance from the weight loss rate,

in an initial stage of the heating procedure, based on the characteristic value, determine at least one of: an estimate for an initial fat content of the food substance for the ongoing heating procedure, or an estimate for a resulting fat content change for the food substance, and

control the ongoing heating procedure for achieving a desired doneness level based on the determined at least one of: the estimate for the initial fat content, or the estimate for the resulting fat content change.

2. The food processing apparatus as claimed in claim 1 , wherein the weight sensor is arranged to record a water loss of the food substance in the initial stage of the heating procedure, and wherein the control device is arranged to determine, based on the recorded water loss, an estimate for a resulting fat loss and/or a current fat content.

3. The food processing apparatus as claimed in claim 1 , wherein the control device is arranged to control the ongoing heating procedure based on the determined estimate for the initial fat content of the food substance.

4. The food processing apparatus as claimed in claim 1 , wherein the control device is arranged to control at least one of: a heating temperature or a heating time.

5. The food processing apparatus as claimed in claim 1 , wherein the food substance involves fat containing meat, poultry, or seafood, and wherein the control device is arranged to control the ongoing heating procedure further based on the desired doneness level.

6. The food processing apparatus as claimed in claim 5 , wherein the desired doneness level, for a required cooking time and/or weight loss, is determined based on a water loss or a weight loss of the food substance.

7. The food processing apparatus as claimed in claim 1 , wherein the control device is coupled with a correlation database, and wherein an empirical correlation between the characteristic value and the estimated resulting fat content change or the estimated initial fat content is provided by the correlation database.

8. The food processing apparatus as claimed in claim 1 , wherein the characteristic value is at least one of:

a maximum weight loss rate in the initial stage of the heating procedure,

a product of a maximum weight loss rate and an absolute weight loss in the initial stage of the heating procedure,

a value of an absolute weight loss in the initial stage of the heating procedure, where a maximum weight loss rate is present,

a value of a plot of the weight loss rate over an absolute weight loss, or

an integral of a portion of a plot of the weight loss rate over the absolute weight loss rate.

9. The food processing apparatus as claimed in claim 1 , wherein, in the initial stage of the heating procedure, a temperature rise in the food substance is induced resulting in a water loss.

10. The food processing apparatus as claimed in claim 1 , wherein the food processing apparatus is arranged as one of: an airbased frying apparatus or a convection oven, and wherein the food processing apparatus comprises at least one ventilation unit.

11. The food processing apparatus as claimed in claim 1 , further comprising an air flow temperature sensor.

12. The food processing apparatus as claimed in claim 1 , further comprising a user interface, wherein the control device is supplied with food type information through the user interface, and wherein the determination of the estimate of the resulting fat content change or the estimate of the initial fat content is computed based on selected food type information.

Assignments (2)
NUNC PRO TUNC ASSIGNMENT Recorded Aug 17, 2023
From: KONINKLIJKE PHILIPS N.V.
To: VERSUNI HOLDING B.V.
Reel/Frame 064618/0115 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 6, 2019
From: JIN, YAFANG; LUO, ZHONGCHI; FENG, HAITAO
To: KONINKLIJKE PHILIPS N.V.
Reel/Frame 049389/0826 →
Priority Claims (2)
WO PCT/CN2016/000676 · Dec 8, 2016 · international
EP 17161734 · Mar 20, 2017 · regional
Continuity (1)
Related Publication 20190387922A1 · Dec 26, 2019