CN110731686A - Control method and system applied to electric cooker - Google Patents
Control method and system applied to electric cooker Download PDFInfo
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- CN110731686A CN110731686A CN201910872372.6A CN201910872372A CN110731686A CN 110731686 A CN110731686 A CN 110731686A CN 201910872372 A CN201910872372 A CN 201910872372A CN 110731686 A CN110731686 A CN 110731686A
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- 238000000034 method Methods 0.000 title claims abstract description 53
- 241000209094 Oryza Species 0.000 claims abstract description 186
- 235000007164 Oryza sativa Nutrition 0.000 claims abstract description 186
- 235000009566 rice Nutrition 0.000 claims abstract description 186
- 238000010411 cooking Methods 0.000 claims abstract description 41
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 40
- 238000002347 injection Methods 0.000 claims abstract description 29
- 239000007924 injection Substances 0.000 claims abstract description 29
- 230000014759 maintenance of location Effects 0.000 claims abstract description 5
- 235000013339 cereals Nutrition 0.000 claims description 21
- 210000001161 mammalian embryo Anatomy 0.000 claims description 18
- 230000009471 action Effects 0.000 claims description 11
- 238000013527 convolutional neural network Methods 0.000 claims description 11
- 238000013145 classification model Methods 0.000 claims description 6
- 238000013135 deep learning Methods 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000004140 cleaning Methods 0.000 claims description 3
- 235000016709 nutrition Nutrition 0.000 description 3
- 230000035764 nutrition Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- 238000005406 washing Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000000378 dietary effect Effects 0.000 description 1
- 235000005118 dietary health Nutrition 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 235000021395 porridge Nutrition 0.000 description 1
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J27/00—Cooking-vessels
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J36/00—Parts, details or accessories of cooking-vessels
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- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Cookers (AREA)
Abstract
The application relates to control methods and systems applied to an electric cooker, and the control methods and systems applied to the electric cooker comprise the steps of obtaining dining user information including the number of people having a dinner, the sex of a user and the age of the user, obtaining the rice quantity according to the dining user information, starting a rice storage device to release the corresponding rice quantity, obtaining the rice germ retention rate, determining a target rice cooking mode according to a relation curve graph of the rice germ retention rate and the rice cooking mode, determining the water injection quantity according to the rice quantity and the target rice cooking mode, starting a water injection device in the electric cooker to release the corresponding water quantity, receiving a working instruction, and starting the electric cooker to work according to the target rice cooking mode.
Description
Technical Field
The application relates to the technical field of computers, in particular to control methods and systems applied to electric cookers.
Background
With the improvement of living standard and quality, people pay more attention to dietary nutrition structure and dietary health. The electric cooker is an essential cooking tool in people's life. At present, the existing intelligent electric rice cookers on the market are generally only in an appointment mode/timing mode, various rice cooking modes, a cake mode, a food material cooking mode and the like, wherein a part of nutrition structures and correct modes for cooking are ignored, so that the damage rate of cooked rice grains is high, the nutrition value is low, and the water injection quantity cannot be automatically controlled according to the rice quantity.
Disclosure of Invention
In order to solve the technical problems, the application provides control methods and systems applied to electric cookers.
, the present application provides control methods for electric rice cooker, the method comprises:
obtaining dining user information, wherein the dining user information comprises the number of dining people, the gender of a user and the age of the user;
acquiring the rice quantity according to the dining user information;
starting the rice storage device to release the corresponding rice quantity;
obtaining the rice grain embryo remaining rate;
determining a target rice cooking mode according to the relation curve graph of the rice germ-remaining rate and the rice cooking mode;
determining the water injection amount according to the rice amount and the target rice cooking mode;
starting a water injection device in the electric cooker to release corresponding water quantity;
and receiving a working instruction, and starting the electric cooker to work according to the target rice cooking mode.
Preferably, after the rice storage device is started to release the corresponding rice quantity and before the rice embryo remaining rate is obtained, the method comprises the following steps:
starting the water injection device to release water;
cleaning rice grains;
and starting the drainage device to perform drainage treatment.
Preferably, after obtaining the rice amount according to the dining user information and before starting the rice storage device to release the corresponding rice amount, the method includes:
judging whether the work mode is the reserved work mode;
when the rice storage device is in the reserved working mode, waiting until the reserved time is reached, receiving a working instruction, starting the rice storage device to release the corresponding rice amount,
when the rice storage device is not in the reserved working mode, the rice storage device is started to release the corresponding rice quantity.
Preferably, the rice grain embryo retention rate comprises:
acquiring a training rice grain picture sample set;
acquiring a rice outline of a sample by using a visual cutting algorithm;
establishing a sample rice label according to the sample rice contour, wherein the sample rice label comprises whole rice, broken rice and sticky rice;
building a convolutional neural network classification model according to the sample rice labels;
and obtaining the rice grain embryo remaining rate according to the convolutional neural network classification model.
Preferably, after the water injection amount is determined according to the rice amount and the target rice cooking mode, the method includes:
acquiring rice taste information;
and determining the target water injection amount according to the rice taste information and the water injection amount.
Preferably, after the electric cooker is started to work, the method comprises the following steps:
judging whether the electric cooker is in a working state or not within a preset time period after receiving the working instruction;
when the electric cooker is in a working state, the working information is sent to the terminal,
when the electric cooker is in an out-of-operation state, the non-operation information is sent to the terminal, and the situation that a user forgets to trigger the electric cooker to operate is avoided.
Preferably, when the electric cooker is in a working state, after the working information is sent to the terminal, the method further comprises:
judging whether the work of the electric cooker is finished or not;
when the work of the electric cooker is finished, a work finishing signal is sent to the terminal to remind a user that the cooking is finished.
Preferably, the method further comprises:
starting a millimeter radar sensor for acquiring point cloud data information of target personnel in a kitchen;
generating a time-frequency graph according to the point cloud data information;
performing action recognition on the time-frequency graph according to a deep learning convolutional neural network action recognition model, and judging whether the target person falls down;
when the target personnel fall down, alarm information is sent to the terminal.
In a second aspect, the present application provides control systems for electric cookers, including the control method as described in any of the above .
In a third aspect, the present application provides electric rice cookers including the control system as described above.
The invention has the beneficial effects that:
the invention discloses control methods and systems applied to an electric cooker, wherein the control methods comprise the steps of obtaining dining user information including the number of people having a dinner, the sex of a user and the age of the user, obtaining the rice quantity according to the dining user information, starting a rice storage device to release the corresponding rice quantity, obtaining the rice grain embryo remaining rate, determining a target rice cooking mode according to a relation curve graph of the rice grain embryo remaining rate and the rice cooking mode, determining the water injection quantity according to the rice quantity and the target rice cooking mode, starting a water injection device in the electric cooker to release the corresponding water quantity, receiving a working instruction, and starting the electric cooker to work according to the target rice cooking mode.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification , illustrate embodiments consistent with the invention and together with the description , serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a flow chart of exemplary embodiments of a control method applied to an electric rice cooker;
FIG. 2 is a schematic flow chart of rice washing of examples;
FIG. 3 is a flow chart illustrating the determination of the reservation mode in embodiments;
FIG. 4 is a schematic flow chart of rice germ-remaining rate obtained in examples;
fig. 5 is a flow chart illustrating the process of identifying whether a kitchen worker falls in embodiments.
Detailed Description
For purposes of making the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described in detail and completely with reference to the drawings of the embodiments of the present application, and it is obvious that the described embodiments are partial embodiments of of the present application, rather than all embodiments.
Fig. 1 is a flow chart illustrating a control method applied to an electric cooker in embodiments, and in the embodiment of the present invention, referring to fig. 1, control methods applied to an electric cooker include:
s10, obtaining dining user information, wherein the dining user information comprises the number of dining people, the gender of a user and the age of the user;
s20, obtaining the rice amount according to the dining user information;
s30, starting the rice storage device to release the corresponding rice quantity;
s40, obtaining the rice embryo remaining rate;
s50, determining a target rice cooking mode according to the relation curve chart of the rice germ-remaining rate and the rice cooking mode;
s60, determining the water injection amount according to the rice amount and the target rice cooking mode;
s70, starting a water injection device in the electric cooker to release corresponding water quantity;
and S80, receiving the working instruction, and starting the electric cooker to work according to the target rice cooking mode.
The invention discloses control methods and systems applied to an electric cooker, wherein the control methods comprise the steps of obtaining dining user information including the number of people having a dinner, the sex of a user and the age of the user, obtaining the rice quantity according to the dining user information, starting a rice storage device to release the corresponding rice quantity, obtaining the rice grain embryo remaining rate, determining a target rice cooking mode according to a relation curve graph of the rice grain embryo remaining rate and the rice cooking mode, determining the water injection quantity according to the rice quantity and the target rice cooking mode, starting a water injection device in the electric cooker to release the corresponding water quantity, receiving a working instruction, and starting the electric cooker to work according to the target rice cooking mode.
Table 1 shows a comparison table of rice amounts required by users in examples, in which referring to table 1, the rice amounts required by each user in dining users are looked up in a preset comparison table of rice amounts required by users, and then the rice amounts required by each user are summed to obtain the final required rice amount, the mass of the cooked rice grains is about 2.5 times of the mass of the rice grains before cooking, and the rice amount in table 1 is used for indicating the mass of the rice grains before cooking.
TABLE 1
Fig. 2 is a schematic flow chart of rice washing in examples, and in the example of the invention, referring to fig. 1 and 2, after the rice storage device is started to release the corresponding amount of rice and before the rice germ retention rate is obtained, the method comprises:
s301, starting a water injection device to release water;
s302, cleaning rice grains;
and S303, starting a drainage device to perform drainage treatment.
Fig. 3 is a schematic flow chart of determination of reservation modes in embodiments, in an embodiment of the present invention, after obtaining the rice amount according to the dining user information, before the rice storage device is started to release the corresponding rice amount, that is, between step S10 and step S20, the method further includes:
s101, judging whether the work mode is a reserved work mode;
s102, when the rice storage device is in the reserved working mode, waiting until the reserved time is reached, receiving a working instruction, starting the rice storage device to release the corresponding rice amount,
if the operation mode is not the reserved operation mode, the rice storage device is started to release the corresponding rice amount, that is, the operation goes to step S30.
Fig. 4 is a schematic flow chart of rice germ remaining rate obtained in examples, and in the example of the present invention, referring to fig. 4, the rice germ remaining rate obtaining step S40 includes:
s41, acquiring a training rice grain picture sample set;
s42, obtaining a sample rice contour by using a visual cutting algorithm;
s43, establishing a sample rice label according to the sample rice contour, wherein the sample rice label comprises whole rice, broken rice and sticky rice;
s44, building a convolutional neural network classification model according to the sample rice labels;
and S45, obtaining the rice embryo remaining rate according to the convolutional neural network classification model.
And calculating the embryo remaining rate of the training sample rice to obtain an embryo remaining rate and a rice cooking mode curve graph, wherein the visual cutting algorithm adopts an OpenCV cutting algorithm, but is not limited to the OpenCV cutting algorithm.
In an embodiment of the present invention, after the determining the water injection amount according to the rice amount and the target rice cooking mode, that is, after step S60, the method further includes:
s601, obtaining rice taste information;
and S602, determining target water injection amount according to the rice taste information and the water injection amount.
The rice taste information comprises that the rice taste is hard and soft, the porridge taste is thick and thin, the target water injection amount is determined according to the taste selection and the water injection amount of the dining user, and the cooked rice can meet the dining users with different taste requirements.
In an embodiment of the present invention, after the starting of the electric rice cooker, i.e. after step S80, the method includes:
s90, judging whether the electric cooker is in a working state or not within a preset time period after receiving the working instruction;
s91, when the electric cooker is in working state, sending working information to the terminal,
and S92, when the electric cooker is in an off state, sending non-working information to the terminal to avoid the user forgetting to trigger the electric cooker to work.
The electric cooker starts to work or does not work within a preset time period, and corresponding state signals are sent to the terminal, so that the situation that a user forgets to trigger the electric cooker to work is prevented.
In an embodiment of the present invention, after the sending of the operation information to the terminal when the electric rice cooker is in the operation state, that is, after step S91 or step S92, the method further includes:
s100, judging whether the electric cooker is finished or not;
and S101, when the work of the electric cooker is finished, sending a work finishing signal to a terminal to remind a user that the cooking is finished.
Fig. 5 is a schematic flow chart of identifying whether a kitchen staff member falls in embodiments, and in the embodiment of the present invention, referring to fig. 1 to 5, the method further includes:
s110, starting a millimeter radar sensor for acquiring point cloud data information of target personnel in a kitchen;
s111, generating a time-frequency graph according to the point cloud data information;
s112, performing action recognition on the time-frequency graph according to the deep learning convolutional neural network action recognition model, and judging whether the target person falls down;
and S113, when the target personnel fall down, sending alarm information to the terminal.
In the embodiment of the invention, the millimeter radar sensor can be arranged on an electric cooker or can be arranged on other household appliances in a kitchen. In other embodiments of the present invention, the millimeter radar sensor may be replaced by another sensor in the prior art, or may be replaced by a device having a camera function and a camera function, which are not described herein again.
The method comprises the steps that water stains exist in a kitchen, dangerous actions such as wrestling or tumbling are easily caused to kitchen staff, a millimeter wave radar sensor is used for collecting point cloud data information of a target staff, a time-frequency graph is generated according to the point cloud data information, the target staff is determined by a built deep learning convolutional neural network action recognition model and is subjected to action recognition, whether the wrestling or tumbling dangerous actions occur or not is judged, wherein the deep learning convolutional neural network action recognition model can be replaced by a long-time memory neural network or a two-way long-time memory neural network, and when the target staff is determined to tumble, alarm information is sent to a terminal, and an operator of the terminal is reminded to take assistance measures to the target staff in time.
In the embodiment of the invention, the application provides control systems of electric cookers, which comprise the control method of any .
In the embodiment of the invention, the application provides electric cookers comprising the control system.
The invention discloses a control method and system applied to an electric cooker, and the method comprises the steps of obtaining dining user information including the number of people having a dinner, the gender of a user and the age of the user, obtaining the rice quantity according to the dining user information, starting a rice storage device to release the corresponding rice quantity, obtaining the rice grain embryo remaining rate, determining a target rice cooking mode according to a relation curve diagram of the rice grain embryo remaining rate and the rice cooking mode, determining the water injection quantity according to the rice quantity and the target rice cooking mode, starting a water injection device in the electric cooker to release the corresponding water quantity, receiving a working instruction, and starting the electric cooker to work according to the target rice cooking mode.
Fig. 1 is a flow chart of a control method applied to an electric cooker in embodiments, fig. 2 is a flow chart of rice washing in embodiments, fig. 3 is a flow chart of a reservation mode judgment in embodiments, fig. 4 is a flow chart of rice embryo remaining rate obtaining in embodiments, fig. 5 is a flow chart of identifying whether a kitchen worker falls down in embodiments, it should be understood that although the steps in the flow charts of fig. 1-5 are sequentially shown according to the arrow indication, the steps are not necessarily sequentially executed according to the order indicated by the arrow, unless explicitly stated herein, the execution of the steps is not strictly limited in order, the steps may be executed in other orders, and at least part of the steps in fig. 1-5 may include multiple sub-steps or multiple stages, which are not necessarily executed at the same time , but may be executed at different times, and the execution order of the sub-steps or stages is not necessarily executed sequentially, but may be executed at least partially alternated with other steps or sub-steps of .
It should be noted that, in this document, relational terms such as "" and "second", and the like, are only used to distinguish entities or operations from another entities or operations, without necessarily requiring or implying any actual relationship or order between such entities or operations, furthermore, the terms "comprise", "include", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises the series of elements does not include only those elements but also other elements not expressly listed or inherent to such process, method, article, or apparatus.
It will thus be appreciated that the present invention is not limited to the embodiments illustrated herein but is to be accorded the widest scope consistent with the principles and novel features as herein claimed.
Claims (10)
1, A control method for electric rice cooker, which is characterized in that the method comprises:
obtaining dining user information, wherein the dining user information comprises the number of dining people, the gender of a user and the age of the user;
acquiring the rice quantity according to the dining user information;
starting the rice storage device to release the corresponding rice quantity;
obtaining the rice grain embryo remaining rate;
determining a target rice cooking mode according to the relation curve graph of the rice germ-remaining rate and the rice cooking mode;
determining the water injection amount according to the rice amount and the target rice cooking mode;
starting a water injection device in the electric cooker to release corresponding water quantity;
and receiving a working instruction, and starting the electric cooker to work according to the target rice cooking mode.
2. The method as claimed in claim 1, wherein after the rice storing device is activated to release the corresponding amount of rice and before the rice germ remaining rate is obtained, the method comprises:
starting the water injection device to release water;
cleaning rice grains;
and starting the drainage device to perform drainage treatment.
3. The method according to claim 1, wherein after the rice amount is acquired according to the dining user information and before the rice storage device is activated to release the corresponding rice amount, the method comprises:
judging whether the work mode is the reserved work mode;
when the rice storage device is in the reserved working mode, waiting until the reserved time is reached, receiving a working instruction, starting the rice storage device to release the corresponding rice amount,
when the rice storage device is not in the reserved working mode, the rice storage device is started to release the corresponding rice quantity.
4. The method of claim 1, wherein the obtaining rice kernel embryo retention rate comprises:
acquiring a training rice grain picture sample set;
acquiring a rice outline of a sample by using a visual cutting algorithm;
establishing a sample rice label according to the sample rice contour, wherein the sample rice label comprises whole rice, broken rice and sticky rice;
building a convolutional neural network classification model according to the sample rice labels;
and obtaining the rice grain embryo remaining rate according to the convolutional neural network classification model.
5. The method of claim 1, wherein after determining the water injection amount according to the rice amount and the target rice cooking mode, the method comprises:
acquiring rice taste information;
and determining the target water injection amount according to the rice taste information and the water injection amount.
6. The method of claim 1, wherein after the rice cooker is started, the method comprises:
judging whether the electric cooker is in a working state or not within a preset time period after receiving the working instruction;
when the electric cooker is in a working state, the working information is sent to the terminal,
when the electric cooker is in an out-of-operation state, the non-operation information is sent to the terminal, and the situation that a user forgets to trigger the electric cooker to operate is avoided.
7. The method as claimed in claim 6, wherein after the operation information is sent to the terminal when the electric rice cooker is in the operation state, the method further comprises:
judging whether the work of the electric cooker is finished or not;
when the work of the electric cooker is finished, a work finishing signal is sent to the terminal to remind a user that the cooking is finished.
8. The method of claim 1, further comprising:
starting a millimeter radar sensor for acquiring point cloud data information of target personnel in a kitchen;
generating a time-frequency graph according to the point cloud data information;
performing action recognition on the time-frequency graph according to a deep learning convolutional neural network action recognition model, and judging whether the target person falls down;
when the target personnel fall down, alarm information is sent to the terminal.
A control system of an electric cooker of , characterized in that, it includes the control method of any in claims 1-8.
An electric rice cooker of the type 10, , comprising a control system as claimed in claim 9.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910872372.6A CN110731686A (en) | 2019-09-16 | 2019-09-16 | Control method and system applied to electric cooker |
| PCT/CN2020/100329 WO2021051962A1 (en) | 2019-09-16 | 2020-07-06 | Control method and system applied to electric rice cooker |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910872372.6A CN110731686A (en) | 2019-09-16 | 2019-09-16 | Control method and system applied to electric cooker |
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| CN110731686A true CN110731686A (en) | 2020-01-31 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910872372.6A Pending CN110731686A (en) | 2019-09-16 | 2019-09-16 | Control method and system applied to electric cooker |
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| Country | Link |
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| CN (1) | CN110731686A (en) |
| WO (1) | WO2021051962A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021051962A1 (en) * | 2019-09-16 | 2021-03-25 | 珠海格力电器股份有限公司 | Control method and system applied to electric rice cooker |
| CN113995316A (en) * | 2021-09-28 | 2022-02-01 | 珠海格力电器股份有限公司 | Method and device for determining cooking amount, storage medium and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH03237931A (en) * | 1990-02-16 | 1991-10-23 | Matsushita Electric Ind Co Ltd | Automatic rice cooker |
| CN102764067A (en) * | 2012-08-06 | 2012-11-07 | 成都威辰木业有限公司 | Embedded full-automatic electric rice cooker and control method thereof |
| CN108829011A (en) * | 2018-07-16 | 2018-11-16 | 华中农业大学 | Intelligent cooking system based on intelligent electric cooker |
| CN109085761A (en) * | 2018-08-16 | 2018-12-25 | 夏琦 | A kind of detection device and the smart home system using the device |
| CN110069977A (en) * | 2019-02-22 | 2019-07-30 | 哈尔滨工程大学 | A method of improving rice germ rate of kernels with remained germ recognition correct rate |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100555974B1 (en) * | 2003-10-22 | 2006-03-03 | 주식회사 대우일렉트로닉스 | Control method for washing rice of automatic rice cooking apparatus |
| CN110731686A (en) * | 2019-09-16 | 2020-01-31 | 珠海格力电器股份有限公司 | Control method and system applied to electric cooker |
-
2019
- 2019-09-16 CN CN201910872372.6A patent/CN110731686A/en active Pending
-
2020
- 2020-07-06 WO PCT/CN2020/100329 patent/WO2021051962A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH03237931A (en) * | 1990-02-16 | 1991-10-23 | Matsushita Electric Ind Co Ltd | Automatic rice cooker |
| CN102764067A (en) * | 2012-08-06 | 2012-11-07 | 成都威辰木业有限公司 | Embedded full-automatic electric rice cooker and control method thereof |
| CN108829011A (en) * | 2018-07-16 | 2018-11-16 | 华中农业大学 | Intelligent cooking system based on intelligent electric cooker |
| CN109085761A (en) * | 2018-08-16 | 2018-12-25 | 夏琦 | A kind of detection device and the smart home system using the device |
| CN110069977A (en) * | 2019-02-22 | 2019-07-30 | 哈尔滨工程大学 | A method of improving rice germ rate of kernels with remained germ recognition correct rate |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021051962A1 (en) * | 2019-09-16 | 2021-03-25 | 珠海格力电器股份有限公司 | Control method and system applied to electric rice cooker |
| CN113995316A (en) * | 2021-09-28 | 2022-02-01 | 珠海格力电器股份有限公司 | Method and device for determining cooking amount, storage medium and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021051962A1 (en) | 2021-03-25 |
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