Recipe recommendation method based on cooking oil fume and hood

Abstract

The invention discloses a recipe recommendation method based on cooking oil fume. The recipe recommendation method based on cooking oil fume comprises the steps that oil fume information during cooking is obtained; oil consumption information of a user during cooking is calculated according to the oil fume information; information of cooking ingredients is obtained; the fat intake of the corresponding user is determined according to the oil consumption information and the information of the cooking ingredients; and according to the fat intake, alternative recipes are recommended for the corresponding user. Based on the method, the combination of ingredients and cooking oil can be used for more accurately determining the actual fat intake of the user, thus recommending healthier recipes forthe user, and helping the user to stay away from chronic diseases caused by excessive fat intake. The invention further discloses a hood for implementing the method. The hood is provided with an oilfume detection module and an oil consumption estimation module, and a recipe can be recommended for the user based on the oil intake of the user.

Description

technical field [0001] The invention relates to the field of home appliances, and more specifically, to a method for recommending recipes based on cooking fume. The invention also relates to a cigarette machine. Background technique [0002] With the development of big data and machine learning technology, smart home appliances have become more and more good at solving the problem of "what to eat" for users, and can recommend recipes for users from multiple dimensions based on the user's physical health and eating habits. [0003] As one of the nutrients that the human body must ingest, oil has great benefits for maintaining body temperature and storing energy. However, with the improvement of people's quality of life, excessive intake of oil has become more and more common. Adding too much fat will not only make the user fat, but also chronic diseases such as high blood pressure, hyperlipidemia and fatty liver may occur, which seriously threatens the user's health. [000...

AI Technical Summary

Problems solved by technology

[0003] As one of the nutrients that the human body must ingest, oil has great benefits for maintaining body temperature and storing energy. However, with the improvement of people's quality of life, excessive oil intake has become more and more common. Adding too much oil will not only make the user fat, but also may cause chronic diseases such as high blood pressure, hyperlipidemia, and fatty liver, which seriously threaten the health of the user

[0004] However, although the existing recipe recommendation methods can give scientific nutritional advice, they cannot accurately determine how much fat each user consumes. In particular, fat exists in the ingredients themselves on the one hand, and is also related to the The amount of oil used in the cooking process is closely related. Therefore, the current recipe recommendation method cannot combine the user's actual oil intake to give healthy recipe suggestions

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