CN117287728B - Induction cooker control system and method based on Internet of things - Google Patents
Induction cooker control system and method based on Internet of things Download PDFInfo
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- CN117287728B CN117287728B CN202311586115.9A CN202311586115A CN117287728B CN 117287728 B CN117287728 B CN 117287728B CN 202311586115 A CN202311586115 A CN 202311586115A CN 117287728 B CN117287728 B CN 117287728B
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- 230000006698 induction Effects 0.000 title claims abstract description 140
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims abstract description 130
- 238000004458 analytical method Methods 0.000 claims abstract description 104
- 238000010438 heat treatment Methods 0.000 claims abstract description 50
- 230000002159 abnormal effect Effects 0.000 claims abstract description 29
- 230000003749 cleanliness Effects 0.000 claims abstract description 28
- 230000005856 abnormality Effects 0.000 claims description 13
- 238000004140 cleaning Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000007405 data analysis Methods 0.000 abstract description 2
- 230000032683 aging Effects 0.000 description 2
- 238000010411 cooking Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C7/00—Stoves or ranges heated by electric energy
- F24C7/08—Arrangement or mounting of control or safety devices
- F24C7/082—Arrangement or mounting of control or safety devices on ranges, e.g. control panels, illumination
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Abstract
The invention belongs to the technical field of induction cooker control, relates to a data analysis technology, and in particular relates to an induction cooker control system and method based on the Internet of things, wherein the induction cooker control system comprises a processor, a heating monitoring module, a linear analysis module, a panel monitoring module and a storage module; the heating monitoring module is used for monitoring and analyzing the heating performance of the induction cooker, the linear analysis module is used for monitoring and analyzing the starting performance of the induction cooker, and the panel monitoring module is used for monitoring and analyzing the panel cleanliness of the induction cooker. According to the invention, the heating performance of the induction cooker can be monitored and analyzed, the temperature of the pan bottom is collected through the monitoring point after the induction cooker starts to work, the heating performance and the heating uniformity of the induction cooker are fed back through analyzing the temperature value and the analysis deviation value, and early warning is timely carried out when abnormal operation occurs.
Description
Technical Field
The invention belongs to the technical field of induction cooker control, relates to a data analysis technology, and particularly relates to an induction cooker control system and method based on the Internet of things.
Background
The induction cooker is a common appliance in the cooking process, and has higher safety, more convenience and wider application range compared with gas cooking. The principle is that in the electromagnetic oven, 220V AC voltage of 50Hz is changed into pulsating DC voltage by a rectifying circuit, the DC voltage is converted into high-frequency voltage with the frequency of 20KHz-40KHz by a capacitance filtering and a control circuit, the high-speed changing current flows through a coil to generate a high-speed changing magnetic field, when magnetic force lines in the magnetic field pass through the metal body at the bottom of a metal vessel, a large amount of strong vortex is generated, and when the vortex is blocked by material resistance, a large amount of heat is generated, so that food is heated.
In the existing induction cooker control, the heating performance and the starting state of the induction cooker cannot be monitored, and when an abnormality occurs in the process of using the induction cooker, the abnormal operation state cannot be early-warned. Meanwhile, when the work of the induction cooker starts and ends, the table top of the induction cooker cannot be automatically monitored for cleanliness, and the induction cooker can only be identified manually, so that certain potential safety hazards exist when the induction cooker operates.
Disclosure of Invention
According to the defects in the prior art, the induction cooker control system and the induction cooker control method based on the Internet of things can timely perform early warning when abnormal operation occurs, timely feed back the cleanliness of the panel and improve the safety of the induction cooker.
In order to achieve the above purpose, the invention provides an induction cooker control system and method based on the Internet of things, comprising a processor, wherein the processor is in communication connection with a heating monitoring module, a linear analysis module, a panel monitoring module and a storage module;
the heating monitoring module is used for monitoring and analyzing the heating performance of the induction cooker: setting a plurality of monitoring points on an upper cover of the induction cooker, collecting the temperature of a pan bottom at the monitoring points in real time after the induction cooker works, uniformly analyzing L1 seconds after the induction cooker works, and judging whether the heating performance and the heating uniformity of the induction cooker meet the requirements;
the linear analysis module is used for monitoring and analyzing the starting performance of the induction cooker: marking a time interval from the beginning of the work of the induction cooker to L1 seconds as a monitoring period, dividing the monitoring period into a plurality of sub-periods, obtaining temperature values of monitoring points at the beginning of the sub-periods and marking the temperature values as starting temperature data of the monitoring points, summing the starting temperature data of all the monitoring points in the sub-periods, averaging the starting temperature data to obtain starting temperature values of the sub-periods, establishing a rectangular coordinate system by taking the execution time of the monitoring period as an X axis and the starting temperature values of the sub-periods as a Y axis, drawing a starting line segment and a cut-off line segment in the rectangular coordinate system, forming a closed graph by the starting line segment, the X axis, the Y axis and the cut-off line segment, marking the area value of the closed graph as a starting performance value QX of the monitoring period, and judging whether the starting performance of the induction cooker in the monitoring period meets the requirement or not through the starting performance value QX;
the panel monitoring module is used for monitoring and analyzing the panel cleanliness of the induction cooker.
As a preferred embodiment of the invention, the specific process of carrying out uniform analysis for L1 seconds after the induction cooker is operated comprises the following steps: obtaining temperature values of monitoring points and marking the temperature values as analysis temperature data of the monitoring points, summing the analysis temperature data of all the monitoring points, taking an average value to obtain analysis temperature values, obtaining analysis temperature threshold values through a storage module, and comparing the analysis temperature values with the analysis temperature threshold values: if the analysis temperature value is smaller than the analysis temperature threshold value, judging that the heating performance of the induction cooker does not meet the requirement, generating a performance abnormality signal and sending the performance abnormality signal to a processor, and sending the performance abnormality signal to a mobile phone terminal of a user after the processor receives the performance abnormality signal; if the analysis temperature value is greater than or equal to the analysis temperature threshold value, judging that the heating performance of the induction cooker meets the requirement.
As a preferred embodiment of the invention, the specific process for judging whether the heating uniformity of the induction cooker meets the requirement comprises the following steps: the analysis temperature data of all monitoring points form an analysis set, variance calculation is carried out on the analysis set to obtain an analysis deviation value, an analysis deviation threshold value is obtained through a storage module, and the analysis deviation value is compared with the analysis deviation threshold value: if the analysis deviation value is smaller than the analysis deviation threshold value, judging that the heating uniformity of the induction cooker meets the requirement, generating a linear analysis signal and sending the linear analysis signal to a processor, and sending the linear analysis signal to a linear analysis module after the processor receives the linear analysis signal; if the analysis deviation value is greater than or equal to the analysis deviation threshold value, judging that the heating uniformity of the induction cooker does not meet the requirement, generating a uniform abnormal signal and sending the uniform abnormal signal to the processor, and sending the uniform abnormal signal to a mobile phone terminal of a user after the processor receives the uniform abnormal signal.
As a preferred embodiment of the present invention, the drawing process of the analysis line segment and the cut-off line segment includes: marking a plurality of starting points in a rectangular coordinate system by taking the starting time of the subperiod as an abscissa and the starting temperature value of the subperiod as an ordinate, sequentially connecting all the starting points from left to right to obtain a plurality of starting line segments, and making a vertical line on the rightmost starting point to the X axis to obtain a cut-off line segment.
As a preferred embodiment of the invention, the specific process for judging whether the starting performance of the induction cooker in the monitoring period meets the requirement comprises the following steps: the starting performance thresholds QXmin and QXmax are obtained through the storage module, and the starting performance value QX of the monitoring period is compared with the starting performance thresholds QXmin and QXmax: if QXmin is less than QX and less than QXmax, judging that the starting performance of the induction cooker in the monitoring period meets the requirement; otherwise, judging that the starting performance of the induction cooker in the monitoring period does not meet the requirement, generating a starting abnormal signal and sending the starting abnormal signal to the processor, and sending the starting abnormal signal to the mobile phone terminal of the user after the processor receives the starting abnormal signal.
As a preferred embodiment of the invention, the specific process of monitoring and analyzing the panel cleanliness of the induction cooker by the panel monitoring module comprises the following steps: after the work of the electromagnetic oven is finished, image shooting is carried out on the surface of the electromagnetic oven, the shot image is marked as a monitoring image, the monitoring image is amplified into a pixel grid image, gray level conversion is carried out, a gray level range is obtained through a storage module, the pixel grid with the gray level value being outside the gray level range is marked as a pollution grid, the number ratio of the pollution grid to the pixel grid is marked as a pollution coefficient, a pollution threshold is obtained through the storage module, and the pollution coefficient is compared with the pollution threshold: if the pollution coefficient is smaller than the pollution threshold value, judging that the panel cleanliness of the induction cooker meets the requirement; if the pollution coefficient is greater than or equal to the pollution threshold, judging that the panel cleanliness of the induction cooker does not meet the requirement, generating a panel cleaning signal and sending the panel cleaning signal to a mobile phone terminal of a user.
As a preferred embodiment of the present invention, the specific process of the panel monitoring module for monitoring and analyzing the panel cleanliness of the induction cooker further includes: when the electromagnetic oven works next time, image shooting is carried out again, a pollution coefficient is obtained, the difference value between the current pollution coefficient and the previous pollution coefficient is marked as a ring shadow value, a ring shadow threshold value is obtained through a storage module, and the ring shadow value is compared with the ring shadow threshold value: if the ring shadow value is smaller than the ring shadow threshold value, judging that the electromagnetic oven meets the use requirement; if the ring shadow value is greater than or equal to the ring shadow threshold value, the induction cooker is judged to not meet the use requirement, and a panel cleaning signal and an environment adjusting signal are generated and sent to a mobile phone terminal of a user through a processor.
The control method of the induction cooker control system based on the Internet of things comprises the following steps:
step S1: monitoring and analyzing the heating performance of the induction cooker: setting a plurality of monitoring points on an upper cover of the induction cooker, collecting the temperature of a pan bottom at the monitoring points in real time after the induction cooker works, uniformly analyzing the temperature for L1 seconds after the induction cooker works, and judging whether the heating performance and the heating uniformity of the induction cooker meet the requirements;
step S2: monitoring and analyzing the starting performance of the induction cooker: marking a time interval from the beginning of the work of the induction cooker to the L1 second of the work as a monitoring period, acquiring a starting performance value QX of the induction cooker in the monitoring period, and judging whether the starting performance of the induction cooker in the monitoring period meets the requirement or not through the starting performance value QX;
step S3: after the work of the electromagnetic oven is finished, cleanliness monitoring analysis is carried out on the surface of the electromagnetic oven to obtain a pollution coefficient, and whether the panel cleanliness of the electromagnetic oven meets the requirement is judged according to the pollution coefficient; and the ring shadow value is obtained when the electromagnetic oven works next time, and whether the electromagnetic oven meets the use requirement is judged through the ring shadow value.
The invention has the following beneficial effects:
1. according to the invention, the heating performance of the induction cooker can be monitored and analyzed through the heating monitoring module, the temperature of the bottom of the cooker is collected through the monitoring point after the induction cooker starts to work, then an analysis temperature value and an analysis deviation value are obtained through calculation, the heating performance and the heating uniformity of the induction cooker are fed back through the analysis temperature value and the analysis deviation value, and early warning is timely carried out when abnormal operation occurs;
2. according to the invention, the starting performance of the induction cooker can be monitored and analyzed through the linear analysis module, the starting temperature data acquisition is carried out on the subintervals of the monitoring period, then the starting performance value of the monitoring period is obtained through an image drawing mode, and the normal degree of the starting performance of the induction cooker is monitored through the starting performance value, so that the influence of ageing of the induction cooker on the normal operation of the induction cooker is avoided;
3. according to the invention, the panel cleanliness of the induction cooker can be monitored and analyzed through the panel monitoring module, the panel cleanliness is monitored at the beginning and ending time of the work, the pollution coefficient of the panel is collected through the image shooting and image processing technology, and then the cleanliness degree of the panel is fed back through the pollution coefficient, so that the potential safety hazard during the operation of the induction cooker is eliminated.
Drawings
FIG. 1 is a system block diagram of a first embodiment of the present invention;
FIG. 2 is a system block diagram of a second embodiment of the present invention;
fig. 3 is a flowchart of a method according to a third embodiment of the present invention.
Detailed Description
The technical scheme provided by the embodiment of the invention is described below with reference to the accompanying drawings.
Example 1
As shown in FIG. 1, the induction cooker control system based on the Internet of things comprises a processor, wherein the processor is in communication connection with a heating monitoring module, a linear analysis module and a storage module.
The heating monitoring module is used for monitoring and analyzing the heating performance of the induction cooker: the upper cover of the induction cooker is provided with a plurality of monitoring points, the temperature of the bottom of the cooker at the monitoring points is acquired in real time after the induction cooker works, and the uniform analysis is carried out in L1 seconds after the induction cooker works: obtaining temperature values of monitoring points and marking the temperature values as analysis temperature data of the monitoring points, summing the analysis temperature data of all the monitoring points, taking an average value to obtain analysis temperature values, obtaining analysis temperature threshold values through a storage module, and comparing the analysis temperature values with the analysis temperature threshold values: if the analysis temperature value is smaller than the analysis temperature threshold value, judging that the heating performance of the induction cooker does not meet the requirement, generating a performance abnormality signal and sending the performance abnormality signal to the processor, and sending the performance abnormality signal to a mobile phone terminal of a user after the processor receives the performance abnormality signal.
If the analysis temperature value is greater than or equal to the analysis temperature threshold value, judging that the heating performance of the induction cooker meets the requirement, forming an analysis set by analysis temperature data of all monitoring points, performing variance calculation on the analysis set to obtain an analysis deviation value, acquiring the analysis deviation threshold value by a storage module, and comparing the analysis deviation value with the analysis deviation threshold value: if the analysis deviation value is smaller than the analysis deviation threshold value, judging that the heating uniformity of the induction cooker meets the requirement, generating a linear analysis signal, sending the linear analysis signal to a processor, and sending the linear analysis signal to a linear analysis module after the processor receives the linear analysis signal.
If the analysis deviation value is greater than or equal to the analysis deviation threshold value, judging that the heating uniformity of the induction cooker does not meet the requirement, generating a uniform abnormal signal and sending the uniform abnormal signal to the processor, and sending the uniform abnormal signal to a mobile phone terminal of a user after the processor receives the uniform abnormal signal.
The method comprises the steps of monitoring and analyzing the heating performance of the induction cooker, collecting the temperature of the bottom of the cooker through monitoring points after the induction cooker starts to work, obtaining an analysis temperature value and an analysis deviation value through calculation, feeding back the heating performance and the heating uniformity of the induction cooker through the analysis temperature value and the analysis deviation value, and carrying out early warning in time when abnormal operation occurs.
The linear analysis module is used for monitoring and analyzing the starting performance of the induction cooker: marking a time interval from starting working of the induction cooker to L1 seconds as a monitoring period, dividing the monitoring period into a plurality of sub-periods, obtaining temperature values of monitoring points at the starting time of the sub-periods and marking the temperature values as starting temperature data of the monitoring points, summing the starting temperature data of all the monitoring points in the sub-periods, averaging the starting temperature data to obtain starting temperature values of the sub-periods, establishing a rectangular coordinate system by taking the execution time of the monitoring period as an X axis and the starting temperature values of the sub-periods as a Y axis, marking a plurality of starting points in the rectangular coordinate system by taking the starting time of the sub-periods as an abscissa and the starting temperature values of the sub-periods as an ordinate, sequentially connecting all the starting points from left to right to obtain a plurality of starting line segments, taking the starting point on the rightmost side to the X axis to obtain a cut-off line segment, and forming a closed graph by the starting line segments, the X axis, the Y axis and the cut-off line segments.
The area value of the closed graph is marked as a starting performance value QX of a monitoring period, starting performance thresholds QXmin and QXmax are obtained through a storage module, and the starting performance value QX of the monitoring period is compared with the starting performance thresholds QXmin and QXmax: if QXmin is less than QX and less than QXmax, judging that the starting performance of the induction cooker in the monitoring period meets the requirement; otherwise, judging that the starting performance of the induction cooker in the monitoring period does not meet the requirement, generating a starting abnormal signal and sending the starting abnormal signal to the processor, and sending the starting abnormal signal to the mobile phone terminal of the user after the processor receives the starting abnormal signal.
The method comprises the steps of monitoring and analyzing the starting performance of the induction cooker, acquiring starting temperature data through sub-time periods of a monitoring period, acquiring a starting performance value of the monitoring period through an image drawing mode, and monitoring the normal degree of the starting performance of the induction cooker through the starting performance value, so that the influence of ageing of the induction cooker on the normal operation of the induction cooker is avoided.
Example two
As shown in fig. 2, the difference between the present embodiment and the first embodiment is that the processor is further connected with a panel monitoring module in a communication manner; the panel monitoring module is used for monitoring and analyzing the panel cleanliness of the induction cooker: after the work of the electromagnetic oven is finished, image shooting is carried out on the surface of the electromagnetic oven, the shot image is marked as a monitoring image, the monitoring image is amplified into a pixel grid image, gray level conversion is carried out, a gray level range is obtained through a storage module, the pixel grid with the gray level value being outside the gray level range is marked as a pollution grid, the number ratio of the pollution grid to the pixel grid is marked as a pollution coefficient, a pollution threshold is obtained through the storage module, and the pollution coefficient is compared with the pollution threshold:
if the pollution coefficient is smaller than the pollution threshold value, judging that the panel cleanliness of the induction cooker meets the requirement; if the pollution coefficient is greater than or equal to the pollution threshold, judging that the panel cleanliness of the induction cooker does not meet the requirement, generating a panel cleaning signal and sending the panel cleaning signal to a mobile phone terminal of a user.
When the electromagnetic oven works next time, image shooting is carried out again, a pollution coefficient is obtained, the difference value between the current pollution coefficient and the previous pollution coefficient is marked as a ring shadow value, a ring shadow threshold value is obtained through a storage module, and the ring shadow value is compared with the ring shadow threshold value: if the ring shadow value is smaller than the ring shadow threshold value, judging that the electromagnetic oven meets the use requirement; if the ring shadow value is greater than or equal to the ring shadow threshold value, judging that the electromagnetic oven does not meet the use requirement, generating a panel cleaning signal and an environment adjusting signal, and sending the panel cleaning signal and the environment adjusting signal to a mobile phone terminal of a user through a processor; the panel cleanliness of the induction cooker is monitored and analyzed, panel cleanliness is monitored at the beginning and ending time of work respectively, the pollution coefficient of the panel is collected through the image shooting and image processing technology, then the cleanliness degree of the panel is fed back through the pollution coefficient, and potential safety hazards during operation of the induction cooker are eliminated.
Example two
As shown in fig. 3, an induction cooker control method based on the internet of things comprises the following steps:
step S1: monitoring and analyzing the heating performance of the induction cooker: setting a plurality of monitoring points on an upper cover of the induction cooker, collecting the temperature of a pan bottom at the monitoring points in real time after the induction cooker works, uniformly analyzing the temperature for L1 seconds after the induction cooker works, and judging whether the heating performance and the heating uniformity of the induction cooker meet the requirements;
step S2: monitoring and analyzing the starting performance of the induction cooker: marking a time interval from the beginning of the work of the induction cooker to the L1 second of the work as a monitoring period, acquiring a starting performance value QX of the induction cooker in the monitoring period, and judging whether the starting performance of the induction cooker in the monitoring period meets the requirement or not through the starting performance value QX;
step S3: after the work of the electromagnetic oven is finished, cleanliness monitoring analysis is carried out on the surface of the electromagnetic oven to obtain a pollution coefficient, and whether the panel cleanliness of the electromagnetic oven meets the requirement is judged according to the pollution coefficient; and the ring shadow value is obtained when the electromagnetic oven works next time, and whether the electromagnetic oven meets the use requirement is judged through the ring shadow value.
Claims (6)
1. The induction cooker control system based on the Internet of things is characterized by comprising a processor, wherein the processor is in communication connection with a heating monitoring module, a linear analysis module, a panel monitoring module and a storage module;
the heating monitoring module is used for monitoring and analyzing the heating performance of the induction cooker: setting a plurality of monitoring points on an upper cover of the induction cooker, collecting the temperature of a pan bottom at the monitoring points in real time after the induction cooker works, uniformly analyzing L1 seconds after the induction cooker works, and judging whether the heating performance and the heating uniformity of the induction cooker meet the requirements;
the linear analysis module is used for monitoring and analyzing the starting performance of the induction cooker: marking a time interval from the beginning of the work of the induction cooker to L1 seconds as a monitoring period, dividing the monitoring period into a plurality of sub-periods, obtaining temperature values of monitoring points at the beginning of the sub-periods and marking the temperature values as starting temperature data of the monitoring points, summing the starting temperature data of all the monitoring points in the sub-periods, averaging the starting temperature data to obtain starting temperature values of the sub-periods, establishing a rectangular coordinate system by taking the execution time of the monitoring period as an X axis and the starting temperature values of the sub-periods as a Y axis, drawing a starting line segment and a cut-off line segment in the rectangular coordinate system, forming a closed graph by the starting line segment, the X axis, the Y axis and the cut-off line segment, marking the area value of the closed graph as a starting performance value QX of the monitoring period, and judging whether the starting performance of the induction cooker in the monitoring period meets the requirement or not through the starting performance value QX;
the panel monitoring module is used for monitoring and analyzing the panel cleanliness of the induction cooker;
the drawing process of the analysis line segment and the cut-off line segment comprises the following steps: marking a plurality of starting points in a rectangular coordinate system by taking the starting time of the subperiod as an abscissa and the starting temperature value of the subperiod as an ordinate, sequentially connecting all the starting points from left to right to obtain a plurality of starting line segments, and making a vertical line on the rightmost starting point to an X axis to obtain a cut-off line segment;
the specific process for judging whether the starting performance of the induction cooker in the monitoring period meets the requirement comprises the following steps: the starting performance thresholds QXmin and QXmax are obtained through the storage module, and the starting performance value QX of the monitoring period is compared with the starting performance thresholds QXmin and QXmax: if QXmin is less than QX and less than QXmax, judging that the starting performance of the induction cooker in the monitoring period meets the requirement; otherwise, judging that the starting performance of the induction cooker in the monitoring period does not meet the requirement, generating a starting abnormal signal and sending the starting abnormal signal to the processor, and sending the starting abnormal signal to the mobile phone terminal of the user after the processor receives the starting abnormal signal.
2. The induction cooker control system based on the internet of things according to claim 1, wherein the specific process of performing uniform analysis for L1 seconds after the induction cooker works comprises: obtaining temperature values of monitoring points and marking the temperature values as analysis temperature data of the monitoring points, summing the analysis temperature data of all the monitoring points, taking an average value to obtain analysis temperature values, obtaining analysis temperature threshold values through a storage module, and comparing the analysis temperature values with the analysis temperature threshold values: if the analysis temperature value is smaller than the analysis temperature threshold value, judging that the heating performance of the induction cooker does not meet the requirement, generating a performance abnormality signal and sending the performance abnormality signal to a processor, and sending the performance abnormality signal to a mobile phone terminal of a user after the processor receives the performance abnormality signal; if the analysis temperature value is greater than or equal to the analysis temperature threshold value, judging that the heating performance of the induction cooker meets the requirement.
3. The induction cooker control system based on the internet of things according to claim 2, wherein the specific process of determining whether the heating uniformity of the induction cooker meets the requirement comprises: the analysis temperature data of all monitoring points form an analysis set, variance calculation is carried out on the analysis set to obtain an analysis deviation value, an analysis deviation threshold value is obtained through a storage module, and the analysis deviation value is compared with the analysis deviation threshold value: if the analysis deviation value is smaller than the analysis deviation threshold value, judging that the heating uniformity of the induction cooker meets the requirement, generating a linear analysis signal and sending the linear analysis signal to a processor, and sending the linear analysis signal to a linear analysis module after the processor receives the linear analysis signal; if the analysis deviation value is greater than or equal to the analysis deviation threshold value, judging that the heating uniformity of the induction cooker does not meet the requirement, generating a uniform abnormal signal and sending the uniform abnormal signal to the processor, and sending the uniform abnormal signal to a mobile phone terminal of a user after the processor receives the uniform abnormal signal.
4. The induction cooker control system based on the internet of things according to claim 3, wherein the specific process of the panel monitoring module for monitoring and analyzing the panel cleanliness of the induction cooker comprises: after the work of the electromagnetic oven is finished, image shooting is carried out on the surface of the electromagnetic oven, the shot image is marked as a monitoring image, the monitoring image is amplified into a pixel grid image, gray level conversion is carried out, a gray level range is obtained through a storage module, the pixel grid with the gray level value being outside the gray level range is marked as a pollution grid, the number ratio of the pollution grid to the pixel grid is marked as a pollution coefficient, a pollution threshold is obtained through the storage module, and the pollution coefficient is compared with the pollution threshold: if the pollution coefficient is smaller than the pollution threshold value, judging that the panel cleanliness of the induction cooker meets the requirement; if the pollution coefficient is greater than or equal to the pollution threshold, judging that the panel cleanliness of the induction cooker does not meet the requirement, generating a panel cleaning signal and sending the panel cleaning signal to a mobile phone terminal of a user.
5. The induction cooker control system based on the internet of things according to claim 4, wherein the specific process of the panel monitoring module for monitoring and analyzing the panel cleanliness of the induction cooker further comprises: when the electromagnetic oven works next time, image shooting is carried out again, a pollution coefficient is obtained, the difference value between the current pollution coefficient and the previous pollution coefficient is marked as a ring shadow value, a ring shadow threshold value is obtained through a storage module, and the ring shadow value is compared with the ring shadow threshold value: if the ring shadow value is smaller than the ring shadow threshold value, judging that the electromagnetic oven meets the use requirement; if the ring shadow value is greater than or equal to the ring shadow threshold value, the induction cooker is judged to not meet the use requirement, and a panel cleaning signal and an environment adjusting signal are generated and sent to a mobile phone terminal of a user through a processor.
6. A control method of an induction cooker control system based on the internet of things according to claim 5, comprising the following steps:
step S1: monitoring and analyzing the heating performance of the induction cooker: setting a plurality of monitoring points on an upper cover of the induction cooker, collecting the temperature of a pan bottom at the monitoring points in real time after the induction cooker works, uniformly analyzing the temperature for L1 seconds after the induction cooker works, and judging whether the heating performance and the heating uniformity of the induction cooker meet the requirements;
step S2: monitoring and analyzing the starting performance of the induction cooker: marking a time interval from the beginning of the work of the induction cooker to the L1 second of the work as a monitoring period, acquiring a starting performance value QX of the induction cooker in the monitoring period, and judging whether the starting performance of the induction cooker in the monitoring period meets the requirement or not through the starting performance value QX;
step S3: after the work of the electromagnetic oven is finished, cleanliness monitoring analysis is carried out on the surface of the electromagnetic oven to obtain a pollution coefficient, and whether the panel cleanliness of the electromagnetic oven meets the requirement is judged according to the pollution coefficient; and the ring shadow value is obtained when the electromagnetic oven works next time, and whether the electromagnetic oven meets the use requirement is judged through the ring shadow value.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR950010372B1 (en) * | 1993-05-27 | 1995-09-16 | 엘지전자주식회사 | Uniform heating device for an electronic range |
| WO2017012338A1 (en) * | 2015-07-20 | 2017-01-26 | 广东美的厨房电器制造有限公司 | Microwave oven, and starting control device and method for variable-frequency power supply of microwave oven |
| CN107743224A (en) * | 2017-09-30 | 2018-02-27 | 奇酷互联网络科技（深圳）有限公司 | The dirty based reminding method of camera lens, system, readable storage medium storing program for executing and mobile terminal |
| CN110933795A (en) * | 2019-11-15 | 2020-03-27 | 广东美的厨房电器制造有限公司 | Microwave oven, control method and device thereof and storage medium |
| CN114995556A (en) * | 2022-07-27 | 2022-09-02 | 山东齐能电器有限公司 | Intelligent control system for electric food warmer operation based on data analysis |
| CN116067690A (en) * | 2023-03-06 | 2023-05-05 | 山东齐能电器有限公司 | Intelligent electric cooker operation fault prediction system based on big data |
| CN116202641A (en) * | 2023-03-27 | 2023-06-02 | 芜湖美的智能厨电制造有限公司 | Oven, temperature uniformity testing method and device thereof and storage medium |
| CN116764261A (en) * | 2023-08-18 | 2023-09-19 | 济宁长胜新材料股份有限公司 | Execution safety supervision system for distillation flow |
Family Cites Families (1)
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Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR950010372B1 (en) * | 1993-05-27 | 1995-09-16 | 엘지전자주식회사 | Uniform heating device for an electronic range |
| WO2017012338A1 (en) * | 2015-07-20 | 2017-01-26 | 广东美的厨房电器制造有限公司 | Microwave oven, and starting control device and method for variable-frequency power supply of microwave oven |
| CN107743224A (en) * | 2017-09-30 | 2018-02-27 | 奇酷互联网络科技（深圳）有限公司 | The dirty based reminding method of camera lens, system, readable storage medium storing program for executing and mobile terminal |
| CN110933795A (en) * | 2019-11-15 | 2020-03-27 | 广东美的厨房电器制造有限公司 | Microwave oven, control method and device thereof and storage medium |
| CN114995556A (en) * | 2022-07-27 | 2022-09-02 | 山东齐能电器有限公司 | Intelligent control system for electric food warmer operation based on data analysis |
| CN116067690A (en) * | 2023-03-06 | 2023-05-05 | 山东齐能电器有限公司 | Intelligent electric cooker operation fault prediction system based on big data |
| CN116202641A (en) * | 2023-03-27 | 2023-06-02 | 芜湖美的智能厨电制造有限公司 | Oven, temperature uniformity testing method and device thereof and storage medium |
| CN116764261A (en) * | 2023-08-18 | 2023-09-19 | 济宁长胜新材料股份有限公司 | Execution safety supervision system for distillation flow |
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