Self-service cooking machine based on big data

Abstract

The invention discloses a big-data-based self-help stir-fryer, comprising: a housing, a stir-fryer body, a material storage unit, and a menu storage unit. Multiple chambers are used for storing materials based on class; a material database is generated with information of the materials in the chambers; materials required for various dishes and processing methods are stored in a menu database witha process database generated; the process database is connected with a control system of the stir-fryer body; therefore, after a user selects the menu according the preference, the dishes can be madeby controlling the stir-fryer body. The invention also provides a method of using the self-help stir-fryer; a user operates the stir-fryer according to the method of use, with great simplicity and conveniences; the self-help stir-fryer also has a system to ensure safety and sanitation for dish making. The self-help stir-fryer can be operated by a user through big data to select satisfactory dishesand can also be used to upload and store the dish making processes to a menu storage unit for sharing; the modern quick-pace life is satisfied.

Description

technical field [0001] The invention relates to the technical field of cooking machines, in particular to a self-service cooking machine based on big data. Background technique [0002] With the acceleration of the pace of life, people have put forward higher requirements for traditional home meals. Generally, outside restaurants can change the taste and cooking methods of home-cooked meals to meet people's pursuit of food, but because everyone's tastes are not the same , and catering institutions generally only provide the same food taste for the same dish, which cannot meet the multiple requirements of different people for the same dish at the same time, and the menu provided by each catering institution is fixed and limited, and the chefs make it according to the existing raw materials. Therefore, diners cannot choose raw materials, check raw materials and production process by themselves, and cannot guarantee the safety and sanitation of eating. At the same time, physica...

AI Technical Summary

Problems solved by technology

[0002] With the acceleration of the pace of life, people have put forward higher requirements for traditional home meals. Generally, outside restaurants can change the taste and cooking methods of home-cooked meals to meet people's pursuit of food, but because everyone's tastes are not the same , and catering institutions generally only provide the same food taste for the same dish, which cannot meet the multiple requirements of different people for the same dish at the same time, and the menu provided by each catering institution is fixed and limited, and the chefs make it according to the existing raw materials. Therefore, diners cannot choose raw materials, check raw materials and production process by themselves, and cannot guarantee the safety and sanitation of eating. At the same time, physical catering institutions also need a lot of manpower to provide services. The production of a limited menu in a fixed mode does not fundamentally change the problem that different people have different needs, but a food that can independently select raw materials, tastes, query raw material information, pricing information, and independently customize cooking plans, etc., to satisfy everyone. Different needs for dishes are essential to change the status quo

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