CN116105185A

CN116105185A - Dry combustion method, dry combustion method system, kitchen range, electronic equipment and storage medium

Info

Publication number: CN116105185A
Application number: CN202310030169.0A
Authority: CN
Inventors: 张希
Original assignee: Ningbo Fotile Kitchen Ware Co Ltd
Current assignee: Ningbo Fotile Kitchen Ware Co Ltd
Priority date: 2022-01-07
Filing date: 2023-01-09
Publication date: 2023-05-12
Also published as: CN115962494A

Abstract

The invention discloses a dry burning detection method, a system, a kitchen range, electronic equipment and a storage medium, wherein whether dry burning occurs is judged not by simply comparing detected temperature of a cooker with a preset dry burning threshold value, but based on at least two temperature characteristics extracted from temperature data of the cooker and confidence coefficients corresponding to the temperature characteristics, particularly in different temperature intervals, the contribution of the two temperature characteristic values to dry burning judgment is different, the confidence coefficients are different, and further whether the dry burning occurs to the cooker is dynamically determined from at least two dimensional information.

Description

Dry combustion method, dry combustion method system, kitchen range, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of data processing, in particular to a dry combustion method, a dry combustion method detection system, a kitchen range, electronic equipment and a storage medium.

Background

When the cooker is in a long-time cooking state and a person is not on site, the phenomenon that water in the cooker is burnt or the oil temperature in the cooker is too high easily occurs, so that the cooker is burnt through easily, and even a fire disaster is caused. It is therefore necessary to prevent such dangers, and to prevent such dangers, it is necessary to detect the dry heating condition of the cookware. The current dry-burning detection scheme in the market is single, and specifically, whether dry burning occurs or not is judged by comparing the detected bottom temperature of the pot with a preset dry-burning threshold value. However, the dry-burning detection scheme is simple in logic, the accuracy of a detection result is low, for example, a situation that a stove is turned off by mistake due to the dry-burning misjudgment in a quick-frying scene can occur, and therefore user experience is reduced.

Disclosure of Invention

The invention aims to overcome the defect of low accuracy of a detection result of a dry combustion method in the prior art, and provides a dry combustion method, a dry combustion system, a stove, electronic equipment and a storage medium.

The invention solves the technical problems by the following technical scheme:

a dry combustion method is characterized in that whether dry combustion is generated or not is judged through temperature value and/or temperature rise rate characteristics, and under different temperature conditions, contribution weights of the temperature value and the temperature rise rate to dry combustion judgment are different.

Preferably, in a low temperature region, the contribution weight of the temperature rise rate characteristic to the dry combustion judgment is larger, and in a high temperature region, the contribution weight of the temperature value characteristic to the dry combustion judgment is larger.

Preferably, under the low temperature condition, whether dry burning occurs is judged through the temperature rise rate, and under the high temperature condition, whether dry burning occurs is judged through the temperature value.

Preferably, in the intermediate state between the low temperature condition and the high temperature condition, whether dry combustion occurs is judged by the two characteristics of the temperature value and the temperature rise rate.

Preferably, when judging whether dry combustion occurs or not by the two characteristics of the temperature value and the temperature rise rate, firstly, referring to the absolute temperature value, and observing the temperature rise rate at the same time, and if the temperature rise rate is kept at a stable lower level, judging that dry combustion does not occur; and if the temperature rise rate is higher than the empirical threshold, judging that dry combustion occurs.

Preferably, temperature data of the cookware are obtained, a temperature value and a temperature rise rate are extracted from the temperature data, confidence coefficients of the cookware are respectively determined, and confidence scores are calculated;

acquiring a preset score threshold corresponding to the current state according to the association relation between the pre-established confidence score and whether the pot is dry-burned or not;

judging whether the current confidence score of the pot is larger than the preset score threshold, and if yes, generating dry burning.

Preferably, the first confidence coefficient and the second confidence coefficient are determined according to a table lookup, a confidence function or a sigmoid function.

Preferably, the sum of the first confidence coefficient and the second confidence coefficient is 1.

Preferably, the confidence score is calculated according to the following formula:

score＝param_a*(a-A)+param_b*(b-B)

wherein score represents the confidence score, param_a represents the first confidence coefficient, a represents the first temperature characteristic, a represents a first temperature characteristic threshold, param_b represents the second confidence coefficient, B represents the second temperature characteristic, and B represents the second temperature characteristic threshold.

Preferably, before the step of calculating the confidence score, the detection method further includes:

and respectively determining the first temperature characteristic threshold and the second temperature characteristic threshold according to the fire gear of the kitchen range.

Preferably, after the step of extracting the first temperature characteristic and the second temperature characteristic from the temperature data, the method further comprises:

determining whether to perform the step of calculating a confidence score based on the first temperature characteristic and/or the second temperature characteristic.

Preferably, after the step of determining whether the pan is dry-burned according to the confidence score, the method further comprises:

and outputting a detection result of the dry burning of the cookware when the dry burning of the cookware is determined continuously for preset times.

Preferably, after the step of outputting the detection result of the dry heating of the pan, the method further includes:

and controlling the stove to shut down according to the detection result.

A dry combustion method detection system, comprising:

the acquisition module is used for acquiring temperature data of the cookware;

the extraction module is used for extracting a first temperature characteristic and a second temperature characteristic from the temperature data;

the computing module is used for computing a confidence score according to a first temperature characteristic and a first confidence coefficient corresponding to the first temperature characteristic, a second temperature characteristic and a second confidence coefficient corresponding to the second temperature characteristic, wherein the sum of the first confidence coefficient and the second confidence coefficient is 1;

and the dry combustion determining module is used for determining whether the cookware is dry-burned or not according to the confidence score.

Preferably, the first temperature characteristic comprises a temperature value characteristic, and the second temperature characteristic comprises a temperature rise rate characteristic;

and/or the number of the groups of groups,

the first confidence coefficient and the second confidence coefficient are determined according to a table lookup, a confidence function or a sigmoid function.

score＝param_a*(a-A)+param_b*(b-B)

Preferably, the detection system further comprises:

and the threshold value determining module is used for respectively determining the first temperature characteristic threshold value and the second temperature characteristic threshold value according to the fire power gear of the kitchen range.

Preferably, the detection system further comprises:

and the execution determining module is used for determining whether to execute the step of calculating the confidence score according to the first temperature characteristic and/or the second temperature characteristic.

Preferably, the detection system further comprises:

and the output module is used for outputting a detection result of the dry burning of the cooker when the dry burning of the cooker is determined continuously for preset times.

Preferably, the detection system further comprises:

and the control module is used for controlling the stove to shut down fire according to the detection result.

A stove comprises the dry combustion detection system.

An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing any of the above methods of dry burn detection when executing the computer program.

A computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of detecting dry combustion of any of the above.

The invention has the positive progress effects that: according to the method, whether the dry burning happens is judged by simply comparing the detected temperature of the cooker with the preset dry burning threshold, but the confidence score is calculated based on at least two temperature characteristics extracted from the temperature data of the cooker and the confidence coefficient corresponding to the temperature characteristics, and whether the cooker is dry burning happens is further dynamically determined from at least two dimensional information.

Drawings

Fig. 1a is a flowchart of a dry combustion method according to embodiment 1 of the present invention.

Fig. 1b is a schematic diagram of experimental data of a dry combustion method according to embodiment 1 of the present invention.

FIG. 1c is a schematic diagram of experimental data of another dry combustion method for detecting dry combustion in example 1 of the present invention.

Fig. 2 is a schematic block diagram of a dry combustion detection system according to embodiment 2 of the present invention.

Fig. 3 is a schematic structural diagram of an electronic device according to embodiment 4 of the present invention.

Detailed Description

The invention is further illustrated by means of the following examples, which are not intended to limit the scope of the invention.

Example 1

The embodiment provides a dry combustion method, which can be used for detecting whether a pot is dry-burned after a stove is started, and fig. 1a shows a flowchart of the detection method of the embodiment. Referring to fig. 1, the detection method of the present embodiment includes:

s101, acquiring temperature data of the cookware.

In this embodiment, the period for acquiring the temperature data may be set in a user-defined manner according to the actual application, for example, the period may take a value of 1s; the pan part for acquiring the temperature data can be selected according to the actual application, for example, the temperature data of the bottom of the pan can be selected; in addition, the electronic device for acquiring the temperature data may also be selected according to the actual application, and the present embodiment is not intended to be limited to these.

S102, extracting a first temperature characteristic and a second temperature characteristic from the temperature data.

In this embodiment, the temperature characteristic for detecting whether the pan is dry-burned may be determined according to the actual application, for example, the temperature characteristic extracted from the temperature data may include a temperature value characteristic for characterizing the current temperature value of the pan; the temperature rise characteristic can be also included and used for representing the difference value of the current temperature value of the cooker compared with the previous temperature value; a temperature rise rate feature may also be included to characterize the rate at which the pan is changed from a previous temperature value to a current temperature value. It should be understood that the temperature data used for determining the temperature rise characteristic or the temperature rise rate characteristic is not limited to two adjacent temperature data, but may be selected according to practical applications.

S103, calculating a confidence score according to the first temperature characteristic and the first confidence coefficient corresponding to the first temperature characteristic, the second temperature characteristic and the second confidence coefficient corresponding to the second temperature characteristic.

In this embodiment, the sum of the first confidence coefficient and the second confidence coefficient is 1, and how to determine the first confidence coefficient and the second confidence coefficient may be selected according to practical applications, for example, the first confidence coefficient and the second confidence coefficient may be determined according to a table lookup, a confidence function, or a sigmoid function.

In this embodiment, considering the dynamic change of the reference importance of different temperature features for dry combustion detection, the confidence coefficient corresponding to the different temperature features is different, for example, when the temperature features include a temperature value feature and a temperature rise rate feature, for a low temperature region, although the value of the temperature value feature is not high, if the pot is dry-burned, the value of the corresponding temperature rise rate feature is larger, so that the reference value of the temperature rise rate feature for dry combustion detection is larger than the temperature value feature; for the high temperature region, the larger the Wen Zhite solicitation value is, the more rapid the heat diffusion is, and the smaller the temperature rise rate characteristic solicitation value is, so that the reference value of the temperature value characteristic for dry combustion detection is larger than the temperature rise rate characteristic.

Based on this, a higher confidence coefficient is preferably given to the temperature rise rate feature for the low temperature region, and a higher confidence coefficient is preferably given to the temperature value feature for the high temperature region.

When the confidence coefficient is determined from the confidence function, there is a confidence function as follows:

for the Temperature value feature, there is a confidence coefficient of param_a=f ((a-a)/(max_temperature-a)), where max_temperature represents the highest Temperature resistance of the pot, and is determined by the material of the pot, for example, the value may be 350 ℃, and a represents the Temperature value feature threshold, and may be determined according to the current thermal gear of the pot. Based on this, for the temperature rise rate feature, the confidence coefficient param_b=1-param_a.

When determining the confidence coefficient from the sigmoid function, the sigmoid function is as follows:

for the Temperature value feature, there is a confidence coefficient param_a=s ((a-a)/(max_temperature-a)). Based on this, for the temperature rise rate feature, the confidence coefficient param_b=1-param_a.

Further, in this embodiment, the confidence score may be calculated according to the following formula:

score＝param_a*(a-A)+param_b*(b-B)

wherein score represents a confidence score, param_a represents a first confidence coefficient, a represents a first temperature characteristic threshold, param_b represents a second confidence coefficient, B represents a second temperature characteristic, and B represents a second temperature characteristic threshold.

Before calculating the confidence score, it is necessary to normalize a, A, b, B and calculate the confidence score from the normalized a, A, b, B.

In addition, different fire gear positions of the stove may correspond to different first temperature characteristic threshold values and different second temperature characteristic threshold values respectively, and correspondingly, before step S103, the detection method of the embodiment may further include a step of determining the first temperature characteristic threshold value and the second temperature characteristic threshold value according to the fire gear position of the stove, so as to obtain the first temperature characteristic threshold value and the second temperature characteristic threshold value corresponding to the current fire gear position of the stove.

For example, in the present embodiment, when the first temperature characteristic includes a temperature value characteristic, there is a correspondence relationship between a fire gear of the kitchen range and a first temperature characteristic threshold value—a temperature value characteristic threshold value, as shown in the following table:

firepower gear	Temperature characteristic threshold A
		Gear I	260℃
Gear
	2	270℃
Gear
	3	280℃
Gear
	4	290℃
Gear
	5	300℃

When the second temperature characteristic comprises a temperature rise rate characteristic, the corresponding relation between the firepower gear of the kitchen range and the second temperature characteristic threshold value-the temperature rise rate characteristic threshold value is shown in the following table:

further, after step S102, the detection method of the present embodiment may further include a step of determining whether to perform calculation of the confidence score according to the first temperature feature and/or the second temperature feature, for example, when the first temperature feature includes a temperature value feature, if the temperature value feature is greater than a preset temperature value, step S103 is performed; if the characteristic of the temperature value is not greater than the preset temperature value, the step S103 and the subsequent steps are not executed, so that the effective utilization of the resources is realized.

S104, determining whether the cookware is dry-burned or not according to the confidence score.

In this embodiment, the correlation between the confidence score and whether the pan is dry-burned may be pre-established according to the actual application, for example, when the confidence score is greater than a preset score threshold, it is determined that the pan is dry-burned, and when the confidence score is not greater than the preset score threshold, it is determined that the pan is not dry-burned.

Referring to fig. 1, the detection method of the present embodiment may further include, after step S104:

s105, outputting a detection result of the dry burning of the cookware when the cookware is determined to be dry burned continuously for preset times.

In this embodiment, the preset number of times of value setting can be customized according to practical application, and when the pot is determined to be dry-burned continuously preset number of times, accuracy of detection results of dry-burned of the pot is enhanced, and detection results of dry-burned of the pot based on the output characterization can be used for realizing other applications related to dry-burned control, for example, a stove can be controlled to be turned off according to the detection results, further occurrence of dry-burned is avoided, and a smoke machine can be controlled while or at intervals between the stove is controlled to be turned off, so that the smoke machine can avoid endless consumption of electric energy.

In the embodiment, whether the dry combustion is generated is not judged by simply comparing the detected temperature of the cooker with the preset dry combustion threshold, but the confidence score is calculated based on at least two temperature characteristics extracted from the temperature data of the cooker and the confidence coefficient corresponding to the temperature characteristics, and whether the cooker is dry-burned is dynamically determined from at least two dimensional information.

The dry combustion detection process is further described by experimental data:

fig. 1B shows a trend of temperature of the pot over time, at point a in the graph, the fire gear of the stove is 3, the temperature of the pot (the first temperature characteristic) is 220 ℃, the temperature rise rate (the second temperature characteristic) is 8 ℃/s, and as can be seen from a table look-up, a=280 ℃, b=5 ℃/s, and the temperature rise rate can be obtained according to the confidence function:

param_a＝0，param_b＝1；

the normalized a, A, b, B values are:

a＝220/280＝0.786，A＝1，b＝8/5＝1.6，B＝1；

score＝param_a*(a-A)+param_b*(b-B)＝0.6；

when the preset value of score is 0.5, the condition at A satisfies that score is larger than the preset value, namely, the condition of dry combustion fire is satisfied.

Fig. 1c shows the trend of temperature of the pot over time, at point B in the graph, the fire gear of the stove is 4, the temperature of the pot (the first temperature characteristic) is 260 ℃, the temperature rise rate (the second temperature characteristic) is 0.5 ℃/s, and as can be seen from the table look-up, a=290 ℃, b=4 ℃/s, and the following confidence function can be obtained:

param_a＝0.25，param_b＝0.75；

the normalized a, A, b, B values are:

a＝260/290＝0.897，A＝1，b＝0.125，B＝1；

score＝param_a*(a-A)+param_b*(b-B)＝-0.682；

when the preset value of score is 0.5, the condition at B does not satisfy score greater than the preset value, i.e., the condition of dry combustion fire off is not satisfied.

Referring to fig. 1C again, at point C in the figure, the fire gear of the stove is 4, the temperature of the pot (the first temperature characteristic) is 290 ℃, the temperature rise rate (the second temperature characteristic) is 4 ℃/s, and the table look-up can show that a=290 ℃, b=3 ℃/s, and the temperature rise rate can be obtained according to the confidence function:

param_a＝0.5，param_b＝0.5；

the normalized a, A, b, B values are:

a＝290/290＝1，A＝1，b＝1.333，B＝1；

score＝param_a*(a-A)+param_b*(b-B)/B＝0.667；

when the preset value of score is 0.5, the condition at C satisfies score greater than the preset value, namely, satisfies the condition of dry burning fire closing.

Example 2

The embodiment provides a dry combustion detection system, which can be used for detecting whether the cookware is dry-burned after the stove is fired, and fig. 2 shows a schematic block diagram of the detection system of the embodiment. Referring to fig. 2, the detection system of the present embodiment includes:

and the acquisition module 1 is used for acquiring temperature data of the cookware.

And the extraction module 2 is used for extracting the first temperature characteristic and the second temperature characteristic from the temperature data.

The calculating module 3 is configured to calculate a confidence score according to the first temperature feature and the first confidence coefficient corresponding to the first temperature feature, the second temperature feature and the second confidence coefficient corresponding to the second temperature feature.

score＝param_a*(a-A)+param_b*(b-B)

In addition, different firepower gears of the stove can respectively correspond to different first temperature characteristic thresholds and different second temperature characteristic thresholds, and correspondingly, the detection system of the embodiment can further comprise a threshold determining module for respectively determining the first temperature characteristic thresholds and the second temperature characteristic thresholds according to the firepower gears of the stove so as to obtain the first temperature characteristic thresholds and the second temperature characteristic thresholds corresponding to the current firepower gears of the stove.

firepower gear	Temperature characteristic threshold A
		Gear
1	260℃
		Gear
2	270℃
		Gear
3	280℃
		Gear
4	290℃
		Gear
5	300℃

further, the detection system of the present embodiment may further include an execution determining module configured to determine whether to execute the calculation of the confidence score according to the first temperature feature and/or the second temperature feature, for example, when the first temperature feature includes a temperature value feature, if the temperature value feature is greater than a preset temperature value, call the calculating module 3; if the characteristic of the temperature value is not greater than the preset temperature value, the calculation module 3 and the subsequent modules are not called, so that effective utilization of resources is realized.

And the dry heating determining module 4 is used for determining whether the cookware is dry heated according to the confidence score.

Referring to fig. 2, the detection system of the present embodiment may further include:

and the output module 5 is used for outputting a detection result of the dry burning of the cookware when the dry burning of the cookware is determined continuously for preset times.

In this embodiment, the preset number of times of value setting can be customized according to practical application, and when the pot is determined to be dry-burned continuously preset number of times, accuracy of detection results of dry-burned of the pot is enhanced, and detection results of dry-burned of the pot based on the output characterization can be used for realizing other applications related to dry-burned control of a control module further included in the detection system, for example, the control module can control a stove to close fire according to the detection results, further occurrence of dry-burned is avoided, and the control module can also control a tobacco machine at the same time of controlling the stove to close fire or at intervals so as to avoid endless consumption of electric energy by the tobacco machine.

Example 3

The embodiment provides a stove comprising the dry combustion detection system provided in embodiment 2. Based on embodiment 2, the embodiment can calculate the confidence score based on at least two temperature features extracted from the temperature data of the cookware and the confidence coefficient corresponding to the temperature features, and dynamically determine whether the cookware is dry-burned or not from at least two dimensional information, so that the embodiment considers the dynamic change of the reference importance of different temperature features on dry-burned detection, can be suitable for different cooking scenes, thereby being beneficial to improving the accuracy of dry-burned detection of the cookware, avoiding misjudgment and improving user experience.

Example 4

The present embodiment provides an electronic device, which may be expressed in the form of a computing device (for example, may be a server device), including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processor may implement the dry combustion method provided in embodiment 1 when executing the computer program.

Fig. 3 shows a schematic diagram of the hardware structure of the present embodiment, and as shown in fig. 3, the electronic device 9 specifically includes:

at least one processor 91, at least one memory 92, and a bus 93 for connecting the different system components (including the processor 91 and the memory 92), wherein:

the bus 93 includes a data bus, an address bus, and a control bus.

The memory 92 includes volatile memory such as Random Access Memory (RAM) 921 and/or cache memory 922, and may further include Read Only Memory (ROM) 923.

Memory 92 also includes a program/utility 925 having a set (at least one) of program modules 924, such program modules 924 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

The processor 91 executes various functional applications and data processing such as the dry combustion detection method provided in embodiment 1 of the present invention by running a computer program stored in the memory 92.

The electronic device 9 may further communicate with one or more external devices 94 (e.g., keyboard, pointing device, etc.). Such communication may occur through an input/output (I/O) interface 95. Also, the electronic device 9 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 96. The network adapter 96 communicates with other modules of the electronic device 9 via the bus 93. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in connection with the electronic device 9, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, data backup storage systems, and the like.

It should be noted that although several units/modules or sub-units/modules of an electronic device are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module according to embodiments of the present application. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.

Example 5

The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the dry combustion detection method provided in embodiment 1.

More specifically, among others, readable storage media may be employed including, but not limited to: portable disk, hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.

In a possible embodiment, the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps of the method for detecting dry combustion as described in embodiment 1, when said program product is run on the terminal device.

Wherein the program code for carrying out the invention may be written in any combination of one or more programming languages, which program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on the remote device or entirely on the remote device.

Example 6

The embodiment provides a table for determining the contribution weight of the temperature value and the temperature rise rate to dry combustion judgment according to different temperature conditions.

While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the principles and spirit of the invention, but such changes and modifications fall within the scope of the invention.

Claims

1. A dry combustion method is characterized in that whether dry combustion is generated or not is judged through temperature value and/or temperature rise rate characteristics, and under different temperature conditions, contribution weights of the temperature value and the temperature rise rate to dry combustion judgment are different.

2. The method for detecting dry combustion method as set forth in claim 1, wherein in the low temperature region, the temperature rise rate characteristic has a larger contribution weight to the dry combustion judgment, and in the high temperature region, the temperature value characteristic has a larger contribution weight to the dry combustion judgment.

3. The method for detecting dry combustion as set forth in claim 1, wherein whether dry combustion occurs is judged by a rate of temperature rise under low temperature conditions, and whether dry combustion occurs is judged by a temperature value under high temperature conditions.

4. The method for detecting dry combustion as claimed in claim 3, wherein the condition of the low temperature and the high temperature is intermediate, and the condition of whether dry combustion is generated is judged by both the temperature value and the temperature rise rate.

5. The method for detecting dry combustion method as claimed in claim 4, wherein when judging whether dry combustion is occurring or not by both of the temperature value and the temperature rise rate, firstly, referring to the temperature value while observing the temperature rise rate, and if the temperature rise rate is kept at a stable lower level, judging that dry combustion is not occurring; and if the temperature rise rate is higher than the empirical threshold, judging that dry combustion occurs.

6. The method for detecting dry combustion method according to claim 1, wherein temperature data of a pot is obtained, a temperature value and a temperature rise rate are extracted from the temperature data, confidence coefficients of the pot are respectively determined, and confidence scores are calculated;

7. The method of claim 6, wherein the first confidence coefficient and the second confidence coefficient are determined according to a table look-up, a confidence function, or a sigmoid function.

8. The method of dry combustion method of claim 6, wherein a sum of the first confidence coefficient and the second confidence coefficient is 1.

9. The method of dry combustion method of claim 6, wherein the confidence score is calculated according to the following formula:

score＝param_a*(a-A)+param_b*(b-B)

10. The method of dry combustion method of claim 6, wherein prior to the step of calculating a confidence score, the method further comprises:

11. The method of detecting dry heating of claim 6, further comprising, after the step of determining whether the pan is dry heated according to the confidence score:

12. The method of detecting dry heating as claimed in claim 5, further comprising, after the step of outputting the detection result of the occurrence of dry heating of the pot:

and controlling the stove to shut down according to the detection result.

13. A dry combustion method detection system, comprising:

the acquisition module is used for acquiring temperature data of the cookware;

14. A hob, characterized in, that it comprises a dry combustion detection system according to claim 13.

15. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of dry burn detection as claimed in any one of claims 1 to 12 when the computer program is executed by the processor.

16. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the dry combustion detection method as claimed in any one of claims 1 to 12.