CN-121977230-A - Dry combustion method and dry combustion device

CN121977230ACN 121977230 ACN121977230 ACN 121977230ACN-121977230-A

Abstract

The invention provides a dry combustion method and a dry combustion method detection device, which comprise the steps of collecting actual temperatures of different areas of the bottom of a pot through temperature measuring channels of a plurality of temperature measuring sensors, respectively constructing a conduction heating model and a boiling heat exchange model based on a heat conduction mechanism in the heating process of the pot, generating a first predicted temperature by using the conduction heating model, calculating a difference value between the actual temperatures collected by the temperature measuring sensors and the first predicted temperature to obtain a first residual error, calculating the difference value between the actual temperatures collected by the temperature measuring sensors and the second predicted temperature to obtain a second residual error, calculating the energy ratio of the first residual error to the second residual error, calculating the energy ratio median according to the energy ratio of the temperature measuring sensors, judging whether the actual temperature median exceeds a preset threshold when the energy ratio median is larger than 1, and judging that the bottom of the pot is in a dry combustion state if the actual temperature median exceeds the preset threshold.

Inventors

GU RUIQIN
LI WEI
YUE XIUCHENG
Lv Yanghua
Cong Tianqi
LI SHUAI
ZENG CHAOBIN

Assignees

郑州炜盛电子科技有限公司

Dates

Publication Date: 20260505
Application Date: 20251217

Claims (10)

1. The dry combustion method is characterized by comprising the following steps of: Collecting actual temperatures of different areas at the bottom of the pot through temperature measuring channels of a plurality of temperature measuring sensors; respectively constructing a conduction heating model and a boiling heat exchange model based on a heat conduction mechanism in the heating process of the pot; Calculating the difference value between the actual temperature acquired by each temperature measuring sensor and the first predicted temperature to obtain a first residual error; calculating the difference value between the actual temperature acquired by each temperature measuring sensor and the second predicted temperature to obtain a second residual error; And calculating the energy ratio median according to the energy ratios of the plurality of temperature measuring sensors, judging whether the actual temperature median exceeds a preset threshold when the energy ratio median is larger than 1, and judging that the bottom of the pot is in a dry burning trend if the actual temperature median exceeds the preset threshold.
2. The dry combustion method of claim 1, further comprising the steps of establishing a residual space-time diagram by taking each temperature sensor as a node, and calculating residual cross-correlation coefficients and diagram synchronicity between the nodes based on a conduction heating model of each temperature sensor; Acquiring residual standard deviations of the temperature sensors based on the first residual and the second residual corresponding to the temperature sensors, and calculating residual information entropy by combining the residual standard deviations; When the preliminary judgment is in the dry combustion trend, constructing a feature vector based on the energy ratio median, the graph synchronization degree, the residual standard deviation and the residual information entropy, and calculating the dry combustion confidence through the feature vector, wherein a calculation formula of the dry combustion confidence is as follows: ; wherein w represents a weight, and b represents a bias term; As a feature vector, H r (t) represents residual information entropy, residual standard deviation σ r (t) represents residual standard deviation, η (t) represents graph synchronization, Represents the energy ratio median; And comparing the dry combustion confidence coefficient with a dry combustion judgment threshold, and judging that the dry combustion state is established if the dry combustion confidence coefficient is larger than the dry combustion judgment threshold and the duration exceeds a preset time threshold.
3. The dry combustion method of claim 1 or 2, wherein the conductive heating model has a calculation formula: ; Wherein T env is the ambient temperature, A i is the maximum temperature rise amplitude acquired by the temperature measuring sensor i, k i is the heat transfer rate constant, deltat is the time interval of acquiring the temperature signal by the temperature measuring channel, and T is the time of acquiring the temperature signal by the temperature measuring channel; The predicted temperature of the temperature measuring sensor i at the time t under the conduction heating state; the calculation formula of the boiling heat exchange model is as follows: ; Wherein T env is the ambient temperature, B i is the proportionality coefficient, alpha i is the time power exponent, deltat is the time interval of temperature signal acquisition of the temperature measuring channel, and T is the time of temperature signal acquisition of the temperature measuring channel; the predicted temperature of the temperature measuring sensor i at the moment t under the boiling heat exchange state; the residual calculation formula is: ; Wherein, the Representing the actual temperature signal acquired by the temperature measuring sensor i at the time t, The residual error of the temperature measuring sensor i at the time t is represented, 1 represents a conduction heating model, and 2 represents a boiling heat exchange model; The calculation formula of the energy ratio is as follows: ; ; Wherein, the Representing the residual energy of the thermometric sensor i at time t, Representing the residual of the temperature sensor i within a time window τ, W being the window length, ε representing a number such that the denominator is not 0.
4. The dry combustion method of claim 3, wherein a i 、k i 、B i 、α i employs a recursive least squares real-time estimation within a sliding window: , Where W is the window length, λ is the forgetting factor, m= {1,2}, , 。
5. The dry combustion method of claim 4, wherein calculating residual cross correlation coefficients and graph synchronicity between nodes based on the conduction heating model of each temperature sensor comprises: establishing a residual space-time diagram G= (V, E), and calculating a residual cross-correlation coefficient: , wherein, node V= {1,2,3,.,. N }, N is the number of temperature measuring sensors, edge E represents the connection set between nodes, And Respectively representing the residual errors of the ith and jth temperature measuring sensor nodes when the conduction heating model is applied, wherein W ij (t) represents residual error cross correlation coefficients, corr (), represents calculated correlation coefficients, and W t represents a sliding time window; calculating the graph synchronism eta (t) based on the residual cross-correlation coefficient: , Where η (t) represents the degree of graph synchrony, |E| represents the total number of links; When the residual standard deviation of each temperature sensor is obtained based on the first residual and the second residual corresponding to the temperature sensor, the adopted formula is as follows: , Wherein, the Indicating the residual of the thermometric sensor i at time t, Representing the average value of residual errors in a window, m= {1,2}, and N represents the number of temperature measuring sensors; when the residual information entropy is calculated by combining the residual standard deviation, the adopted formula is as follows: ; Where N represents the number of temperature sensors within the window.
6. The dry combustion method of claim 5, wherein the dry combustion decision threshold is determined based on a bayesian update mechanism, and the dry combustion decision threshold is calculated by the following formula: ; where θ (t) is a dynamically updated dry combustion decision threshold, Is an estimated threshold based on historical data or current characteristics, and beta represents a smoothing coefficient for controlling the update rate.
7. The utility model provides a dry combustion method detection device which characterized in that is applied to cooking utensils, includes: the temperature detection module is used for collecting actual temperatures of different areas at the bottom of the pot through temperature measuring channels of the temperature measuring sensors; the temperature prediction module is used for respectively constructing a conduction heating model and a boiling heat exchange model based on a heat conduction mechanism in the heating process of the pot; The residual calculation module is used for carrying out difference calculation on the actual temperature acquired by each temperature measuring sensor and the first predicted temperature to obtain a first residual error, carrying out difference calculation on the actual temperature acquired by each temperature measuring sensor and the second predicted temperature to obtain a second residual error, and calculating the energy ratio of the first residual error and the second residual error; And the dry combustion judgment module is used for calculating the energy ratio median according to the energy ratios of the plurality of temperature measuring sensors, judging whether the actual temperature median exceeds a preset threshold value when the energy ratio median is larger than 1, and judging that the bottom of the cooker is in a dry combustion state if the actual temperature median exceeds the preset threshold value.
8. The dry combustion method of claim 7, comprising an integrated circuit board, a temperature sensor, an insulated housing, a bottom base, a filter lens, and a cap; The cover cap is assembled at one end of the heat insulation shell, which faces the cooker, a window is formed in the cover cap, and the filter lens is arranged between the heat insulation shell and the cover cap; The other end of the heat insulation shell is fixedly connected with the bottom base, the integrated circuit board is arranged between the bottom base and the heat insulation shell, the temperature sensor is welded on the integrated circuit board, and one end, close to the bottom base, of the integrated circuit board is electrically connected with an external lead; The integrated circuit board is integrated with a temperature detection module, a signal acquisition module, a signal preprocessing module, a temperature prediction module, a residual calculation module and a dry combustion method judgment module, wherein the signal acquisition module and the signal preprocessing module are respectively connected with the temperature detection module and the residual calculation module.
9. The dry combustion method detection device of claim 8, wherein the temperature sensors comprise a plurality of temperature sensors distributed in a ring, rectangular array or fan; the temperature sensor comprises a thermopile sensor, an infrared radiometer, a pyroelectric sensor, an infrared electric conduction sensor or an infrared electric voltage sensor.
10. A stove which is characterized by comprising the dry combustion detection device, a control module, a fuel gas electric control proportional valve and an audible and visual alarm module according to any one of claims 7-9, wherein when the dry combustion detection device judges that a cooker is in a dry combustion state, the control module is used for closing the fuel gas electric control proportional valve in a space-time state and controlling the audible and visual alarm module to alarm.

Description

Dry combustion method and dry combustion device Technical Field The invention relates to the technical field of gas cookers, in particular to a dry combustion method and a dry combustion device. Background Along with the improvement of the automation level of the gas stove, the dry burning prevention function becomes the core technical direction for guaranteeing the use safety. The existing fuel gas dry burning prevention technology mostly uses bottom temperature detection as a core principle, temperature data is acquired through a temperature sensor arranged in a fuel gas stove, and when the detected temperature reaches a fixed preset threshold value, a system automatically cuts off a gas source so as to avoid dry burning risk. However, a single fixed temperature threshold is difficult to adapt to a complex use scene, so that the flexibility and sensitivity of the dry burning prevention control are insufficient, and the safety protection requirement cannot be met accurately. The Chinese patent publication No. CN116878035A discloses an intelligent stove control system and an intelligent stove, which realize dry combustion detection by matching an infrared sensing device with a control module. The spot detection range of the infrared sensing device does not exceed the area of a heated vessel, a preset algorithm is built based on the ambient temperature, the inclination angle of the device and the distance between the infrared sensing device and the vessel, vessel temperature data are collected and then sent to the control module, and the control module judges whether dry burning occurs or not and triggers turn-off control by comparing the preset time temperature rise rate of the temperature data with the standard temperature rise rate and the temperature maximum value with the standard temperature value. The technology improves the problems of low temperature measurement efficiency and insufficient dry combustion detection sensitivity of the cookware to a certain extent, but has obvious limitations that firstly, the dry combustion state is judged only by depending on the rising rate of temperature data and a real-time temperature value, the characteristic change of a critical turning stage of the dry combustion is difficult to accurately capture, misjudgment is easy to occur, secondly, the anti-interference capability is weaker, external interference factors such as external air cooling, cookware movement and the like easily cause fluctuation of temperature signals, so that false triggering of a dry combustion prevention program is caused, thirdly, the self-adaption adjustment capability is insufficient, and the dry combustion judgment standard cannot be dynamically adjusted according to the use conditions of real-time change of a firepower gear, a cookware placement position and the like, so that the suitability is poorer. In order to solve the above problems, an ideal technical solution is always sought. Disclosure of Invention The invention aims at overcoming the defects of the prior art, and provides a dry combustion method and a dry combustion device with strong anti-interference capability and high self-adaptive adjustment capability. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: in a first aspect, the present invention provides a dry combustion method, including: Collecting actual temperatures of different areas at the bottom of the pot through temperature measuring channels of a plurality of temperature measuring sensors; respectively constructing a conduction heating model and a boiling heat exchange model based on a heat conduction mechanism in the heating process of the pot; Calculating the difference value between the actual temperature acquired by each temperature measuring sensor and the first predicted temperature to obtain a first residual error; calculating the difference value between the actual temperature acquired by each temperature measuring sensor and the second predicted temperature to obtain a second residual error; And calculating the energy ratio median according to the energy ratios of the plurality of temperature measuring sensors, judging whether the actual temperature median exceeds a preset threshold when the energy ratio median is larger than 1, and judging that the bottom of the pot is in a dry burning trend if the actual temperature median exceeds the preset threshold. And constructing a conduction heating model and a boiling heat exchange model based on a heat conduction mechanism, and identifying a heat conduction dominant state through residual energy ratio to accurately capture core characteristics of a dry combustion critical stage. The combination judgment design of the energy ratio and the temperature threshold avoids misjudgment caused by instantaneous temperature fluctuation, and combines the real-time detection performance and the stability. Through the closed loop flow of actual temperature acquisition, dual-m