XGboost-based self-learning intelligent gas cooker system

Abstract

The invention provides an XGboost-based self-learning intelligent gas cooker system, which comprises a gas cooker, wherein the gas cooker comprises a central processing unit module, a wireless communication module, a weighing module and a firepower adjusting module, the central processing unit module is connected with a gas concentration measuring module, a gas metering module, an image acquisition module, a server and a mobile terminal by means of the wireless communication module, and the server is connected with the mobile terminal. The XGboost-based self-learning intelligent gas cooker system can complete automatic refined cooking and safety monitoring of food for different ingredients in different regions and seasons by means of the related modules through adopting a data mining algorithm on the premise of ensuring no dry burning, no overflowing and no gas leakage, can automatically learn and update an XGboost classifier according to different cooking habits of users, improves theidentification precision and accelerates the identification speed of cooking operation, can give an early warning in time for possible adverse conditions, and is wide in applicability.

Description

technical field [0001] The invention relates to the technical field of gas cookers, in particular to an XGboost-based self-learning intelligent gas cooker system. Background technique [0002] Gas stoves are household appliances that rely on gaseous fuels such as liquefied petroleum gas, artificial gas, and natural gas for direct fire heating to complete food cooking. In the process of cooking, traditional gas stoves rely on human experience to manually adjust the opening of the gas flow valve to change the firepower according to the weight of ingredients and different stages of cooking. Today, with the rapid development of information technology, in order to improve the intelligence of gas stoves, realize automatic cooking and fine control, it is imminent to design a safe and convenient smart gas stove system. [0003] A variety of smart gas cookers currently on the market are based on temperature sensors in contact with the bottom of the pot, infrared temperature sensors,...

AI Technical Summary

Problems solved by technology

[0004] In view of the deficiencies in the above-mentioned background technology, the present invention proposes a self-learning intelligent gas cooker system based on XGboost, which solves the technical problem that the existing intelligent gas cooker cannot accurately adjust the firepower and duration according to the ingredients and personal habits and complete the cooking process

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