Kitchen electric appliance danger intelligent monitoring method combined with edge calculation

Abstract

The invention discloses a kitchen electric hazard intelligent monitoring method combined with edge calculation, which comprises the following steps: different types of sensors are deployed at different equipment and different positions of a kitchen, a kitchen electric sensor network is formed by the sensors, and various related data are acquired in real time; the kitchen appliance sensor network transmits the acquired data to edge computing nodes which are arranged adjacently, and each edge computing node comprises a data preprocessing module, an anomaly detection module and a fault diagnosismodule; the edge computing node also stores a deep learning network model and a knowledge base required by knowledge-based fault reasoning; the kitchen electric sensor network adopted by the inventionis compatible with various sensors, various data can be collected in real time for various kitchen electric hidden dangers, and all-around potential hazard sources are fully obtained; and the edge computing nodes deployed close to a data source are adopted to process the kitchen appliance data, so that the system delay is reduced, and the reaction speed is increased.

Description

technical field [0001] The invention relates to the technical fields of edge computing and artificial intelligence, in particular to an intelligent monitoring method for kitchen appliance hazards combined with edge computing. Background technique [0002] Anomaly detection and fault diagnosis technology is an important guarantee for the safety of kitchen appliances. There are also some monitoring methods based on traditional means in the existing technology: for example, a kitchen harmful gas detection system based on STM32 single-chip microcomputer as the core component, which installs CO , CH3 and other gas sensors, detect the gas concentration, and judge whether there is any abnormality according to the preset sensitivity and threshold value, and finally realize the remote alarm function by sending alarm text messages and one-button phone calls. However, at present, the abnormal detection and fault diagnosis of kitchen appliances using traditional methods mainly rely on m...

AI Technical Summary

Problems solved by technology

However, at present, the abnormal detection and fault diagnosis of kitchen appliances using traditional methods mainly rely on manual experience, with low accuracy and intelligence. The safety of life and property requires more intelligent means

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