Method for performing real-time cooking allocation and intelligent cooking utensil thereof
A practical, parameter-representing technology, used in cooking utensils, kitchen utensils, home utensils, etc., to solve problems such as lack of accurate standards, vague maturity of ingredients, and inability to achieve refined standards, and achieve accurate cooking results.
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Embodiment 1
[0032] A method for real-time cooking and preparation, which compares the maturity of the ingredients detected in real time with the theoretical maturity of the ideal maturity curve at the corresponding moment, and adjusts the actual heating curve of cooking when there is a deviation in the comparison result.
[0033] The maturity of the food material detected in real time is the maturity degree of the food material surface, and the ideal maturity curve is the ideal maturity curve of the food material surface. The ideal maturity curve can be obtained through a pre-established local or cloud database; it can also be obtained through remote control software input; or through the input of interconnected appliances. Ideal maturation curves can also be obtained from historical data of prior cooking.
[0034] Maturity characterizes the maturity state attribute of an ingredient, and is composed of a characterization parameter and a characterization parameter value. One is composed w...
Embodiment 2
[0041] A method for real-time cooking and preparation, the other features are the same as those in Embodiment 1, except that: in this embodiment, all the characterization parameters of the ingredients are detected, and the detection values of some of the characterization parameters of the detected ingredients and the corresponding characterization parameters are selected. Compare with the theoretical value. In this way, the workload of comparison can be reduced and the efficiency can be improved.
Embodiment 3
[0043] A method for real-time cooking and preparation, the other features are the same as those in Embodiment 1, the difference is that: in this embodiment, only the characterization parameters of some ingredients are detected, and all or part of the detected characterization parameter detection values are compared with the corresponding characterization parameter theory. values are compared. In this way, the workload of detection and comparison is further reduced, and the efficiency is improved.
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