Comprehensive monitoring and early warning system and method for fire leaving in kitchen

By integrating cameras, smoke sensors and gas sensors into a comprehensive monitoring system, combined with deep learning models for face and flame recognition, the problem of insufficient monitoring in existing kitchen safety systems is solved, intelligent early warning and emergency response are achieved, and kitchen safety is improved.

CN120673537AInactive Publication Date: 2025-09-19SHENZHEN HONGREN KITCHENWARE CO LTD
View PDF 0 Cites 2 Cited by

Patent Information

Application Number
CN202510732145.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-03
Publication Date
2025-09-19
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing kitchen safety systems rely on basic smoke detectors and temperature sensors, which cannot provide comprehensive environmental monitoring and lack effective emergency response measures, resulting in greater safety risks if no human intervention is performed.

Method used

It adopts scene perception module, preliminary analysis module, data decision module and emergency processing module, integrates cameras, smoke sensors, and gas sensors, performs face and human behavior recognition through deep learning models, monitors the fire source status in real time, and triggers buzzer alarms or automatically cuts off power and gas in abnormal situations.

Benefits of technology

It realizes intelligent and active monitoring of the kitchen environment, timely warning and emergency measures, reduces fire risks and improves kitchen safety.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120673537A_ABST
    Figure CN120673537A_ABST
Patent Text Reader

Abstract

The invention, which relates to the technical field of monitoring and early warning, discloses a comprehensive monitoring and early warning system and method for fire leaving in a kitchen, and the system comprises a scene sensing module, a preliminary analysis module, a data decision module and an emergency processing module. The scene sensing module is integrated with a camera, a smoke sensor and a gas sensor, and acquired image information, gas concentration and smoke index are transmitted to the preliminary analysis module; face and human body behavior recognition is carried out by adopting a deep learning model, the state of a kitchen fire source is monitored in real time by utilizing a flame state recognition technology, and in a normal state, the system does not intervene and only carries out low-power-consumption monitoring; when temperature abnormity or gas leakage occurs, the system enters an early warning mode, a buzzer alarm device is triggered to prompt a user, emergency disposal is carried out when necessary, timely response can be carried out according to different fire risks, and accidents are reduced.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Cited By

  • Intelligent gas alarm method and system

    CN121482966A

  • Live fire leaving early warning method and system based on behavior trajectory and heat domain correlation analysis

    CN121564874A