An artificial intelligence driven multi-scene combustion intelligent regulation system for gas stoves

Through multimodal sensing and AI-driven gas stove systems, the cooking status is collected and predicted in real time, and combustion parameters are dynamically adjusted. This solves the problems of feedback lag and single sensing in existing gas stoves, and achieves efficient and safe combustion control.

CN122151547APending Publication Date: 2026-06-05SHANXI SANYI TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANXI SANYI TECH CO LTD
Filing Date
2026-04-22
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing gas stove combustion control technology suffers from drawbacks such as lagging single-sensor feedback control, inability to fully perceive multimodal information during the cooking process, and difficulty in coping with dynamic cooking operations and external disturbances, resulting in poor cooking performance and safety hazards.

Method used

The system employs a multimodal sensing module to collect real-time data on cookware temperature, sound spectrum, and motion status. Combined with the cooking process prediction model of the artificial intelligence decision-making module and the digital twin of the combustion field, it achieves proactive prediction and dynamic combustion optimization. Precise control is achieved through a multi-physics field collaborative execution module.

Benefits of technology

It enables proactive prediction and dynamic compensation of the cooking process, improves combustion stability and thermal efficiency, avoids uneven heat field and energy waste, and ensures safety and cooking results.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122151547A_ABST
    Figure CN122151547A_ABST
Patent Text Reader

Abstract

The application discloses an artificial intelligence driven gas stove multi-scene combustion intelligent regulation and control system, and particularly relates to the technical field of gas stoves, and comprises: a multi-modal perception module for collecting pot bottom global temperature field, cooking sound spectrum, flame ion current and pot motion state data in real time; an artificial intelligence decision module internally provided with a cooking process space-time prediction model and a combustion field digital twin, for predicting cooking state evolution trend and generating optimal combustion control parameters; and a multi-physical field collaborative execution module for synchronously adjusting gas supply amount, combustion air supply amount and burner inner and outer ring firepower ratio. Through multi-modal perception, space-time prediction and digital twin technology, the application realizes active prediction and dynamic regulation and control of the cooking state, can intervene before events such as pot overflow and dry burning occur, dynamically adapts to complex cooking actions such as pot overturning, and effectively improves combustion stability and thermal efficiency.
Need to check novelty before this filing date? Find Prior Art