阅读说明：本技术 确定谷物的烹饪模式的方法、装置和烹饪器具 (Method and device for determining cooking mode of grains and cooking appliance ) 是由 黄智刚 陈翀 谭齐宁 周幸 于 2019-01-14 设计创作，主要内容包括：本发明公开了一种确定谷物的烹饪模式的方法、装置和烹饪器具。其中,该方法包括：控制微波雷达装置发射微波扫描烹饪器具内的谷物,获取谷物的回波成像；基于谷物的回波成像,获取谷物的轮廓；基于谷物的轮廓确定谷物的类型,其中,谷物的类型包括如下至少之一：整颗粒状态的谷物和碎颗粒状态的谷物；基于谷物的类型获取针对谷物的烹饪模式。上述方案通过微波雷达技术对谷物进行检测,解决了现有技术通过人工识别谷物的种类并控制烹饪模式,导致确定的烹饪模式不准确的技术问题。(The invention discloses a method and a device for determining a cooking mode of grains and a cooking appliance. Wherein, the method comprises the following steps: controlling a microwave radar device to emit microwaves to scan grains in the cooking appliance, and acquiring echo images of the grains; acquiring the outline of the grain based on the echo imaging of the grain; determining a type of grain based on the profile of the grain, wherein the type of grain comprises at least one of: grains in whole grain state and grains in crushed grain state; a cooking profile for the grain is obtained based on the type of grain. Above-mentioned scheme detects cereal through microwave radar technique, has solved prior art through the kind of artifical discernment cereal and control the culinary art mode, leads to the inaccurate technical problem of definite culinary art mode.)

1. A method of determining a cooking profile of grain, comprising:

controlling a microwave radar device to emit microwaves to scan grains in a cooking appliance, and acquiring echo images of the grains;

acquiring the outline of the grain based on the echo imaging of the grain;

determining a type of the grain based on the profile of the grain, wherein the type of the grain comprises at least one of: grains in whole grain state and grains in crushed grain state;

a cooking profile for the grain is obtained based on the type of grain.

2. The method of claim 1, wherein obtaining the profile of the grain based on echographic imaging of the grain comprises:

determining a center point of the grain from the echo imaging;

taking the central point as a reference, acquiring a plurality of contour points, wherein the distances from the contour points to the central point are within a preset range;

and connecting the plurality of contour points in sequence to obtain the contour of the grain.

3. The method of claim 2, wherein the echo imaging is planar amplitude imaging, wherein the grain thickness in the planar amplitude imaging of the grain is proportional to the reflected wave amplitude, and wherein the center point is a point in the planar amplitude imaging where the reflected wave amplitude is the largest.

4. The method of any one of claims 1, wherein determining the type of grain based on the contour of the grain comprises:

calculating the area of the grains or the minimum circumscribed rectangle area of the grains based on the outlines of the grains;

and performing K-means clustering based on the area of the grains or the minimum circumscribed rectangle area of the grains to distinguish the types of the grains.

5. The method of claim 1, wherein obtaining a cooking profile for the grain based on the type of grain comprises:

in the case where the grains are multiparticulates, determining the proportion of each type of grain according to the type of grain;

and acquiring a corresponding cooking mode according to the proportion of each type of grains.

6. The method of claim 4, wherein K-means clustering based on the area of the grain or the minimum bounding rectangle area of the grain, the distinguishing the type of the grain comprises:

setting a K value of a cluster and a central value of the cluster, wherein the K value is the same as the type number of the grains and the number of the central values;

and according to the clustering center value, performing center classification on each grain according to the area or the minimum circumscribed rectangle area, and determining the type of each grain.

7. The method of claim 6, further comprising: and judging whether any grain is subjected to center classification, and if any grain is not subjected to center classification, classifying the grains which are not subjected to the center classification until all grains are classified and determining the type.

8. The method of any one of claims 1 to 7, wherein after obtaining the cooking profile for the grain based on the type of grain, the method further comprises:

controlling a cooking appliance to cook the grains according to the cooking mode;

in the cooking process, the microwave radar device emits microwaves to scan the grains in cooking, and the moisture content of the grains in the cooking process is obtained;

and controlling the cooking appliance to stop working if the moisture content of the grains in the cooking process reaches the target water amount.

9. An apparatus for determining a cooking profile of a grain, comprising:

the scanning module is used for controlling the microwave radar device to emit microwaves to scan grains in the cooking appliance and acquiring echo images of the grains;

the contour acquisition module is used for acquiring the contour of the grain based on the echo imaging of the grain;

a type determination module to determine a type of the grain based on a profile of the grain, wherein the type of the grain comprises at least one of: grains in whole grain state and grains in crushed grain state;

an acquisition module for acquiring a cooking pattern for the grain based on a type of the grain.

10. The apparatus of claim 9, wherein the contour acquisition module comprises:

a center point determining module for determining the center point of the grain from the echo imaging;

a contour point obtaining module, configured to obtain a plurality of contour points with the central point as a reference, where distances from the plurality of contour points to the central point are within a predetermined range;

and the connecting module is used for sequentially connecting the plurality of contour points to obtain the contour of the grain.

11. The apparatus of claim 10, wherein the echo imaging is planar amplitude imaging, wherein the grain thickness in the planar amplitude imaging of the grain is proportional to the reflected wave amplitude, and wherein the center point is a point in the planar amplitude imaging where the reflected wave amplitude is maximum.

12. The apparatus of any one of claims 9 to 11, wherein the type determining module comprises:

the calculation module is used for calculating the area of the grains or the minimum circumscribed rectangle area of the grains based on the outlines of the grains;

and the distinguishing module is used for carrying out K-means clustering on the basis of the area of the grains or the minimum circumscribed rectangle area of the grains so as to distinguish the types of the grains.

13. The apparatus of claim 9, wherein the obtaining module comprises:

the proportion determining module is used for determining the proportion of each type of grains according to the types of the grains under the condition that the grains are multiparticulates;

and the cooking mode acquisition module is used for acquiring a corresponding cooking mode according to the proportion of each type of grains.

14. The apparatus of claim 12, wherein the means for distinguishing comprises:

the setting module is used for setting a K value of the cluster and a central value of the cluster, wherein the K value is the same as the type number of the grains and the number of the central values;

and the classification module is used for performing center classification on each grain according to the area or the minimum circumscribed rectangle area according to the center value of the cluster to determine the type of each grain.

15. The apparatus of claim 14, further comprising: and the judging module is used for judging whether any grain is subjected to center classification, and if any grain is not subjected to center classification, classifying the grains which are not subjected to the center classification until all grains are classified and the type is determined.

16. The apparatus of any one of claims 9 to 15, further comprising:

the first control module is used for controlling a cooking appliance to cook the grains according to the cooking mode after the cooking mode for the grains is acquired based on the types of the grains;

the moisture content acquisition module is used for transmitting microwaves to scan the grains in cooking through the microwave radar device in the cooking process to acquire the moisture content of the grains in the cooking process;

and the second control module is used for controlling the cooking appliance to stop working if the moisture content of the grains in the cooking process reaches the target water amount.

17. A storage medium comprising a stored program, wherein the program, when executed, controls an apparatus on which the storage medium is located to perform the method of determining the cooking profile of grain according to any one of claims 1 to 8.

18. A processor for executing a program, wherein the program is executed to perform the method of determining the cooking mode of a grain according to any one of claims 1 to 8.

19. A cooking appliance, comprising:

the microwave radar device is used for transmitting microwaves to scan grains in the cooking appliance and acquiring echo images of the grains;

a controller for executing a program, wherein the following processing steps are performed on data output from the microwave radar apparatus when the program is executed: acquiring the outline of the grain based on the echo imaging of the grain; determining a type of the grain based on the profile of the grain, wherein the type of the grain comprises at least one of: grains in whole grain state and grains in crushed grain state; controlling the cooking appliance to work according to a cooking mode matched with the type of the grains based on the type of the grains.

Technical Field

The invention relates to the field of intelligent small household appliances, in particular to a method and a device for determining a cooking mode of grains and a cooking appliance.

Background

With the accelerated pace of life, people stay in the kitchen for less and less time, so that cooking appliances which are energy-saving, time-saving and easy to operate and can perfectly exert the nutrition contained in grains are urgently needed to be developed. Traditional electric rice cooker does not have the grain of rice recognition function, relies on user's subjective experience culinary art cereal completely, leads to the taste of rice good time bad, and volatile nutrient element runs off seriously.

Aiming at the problem that the determined cooking mode is inaccurate due to the fact that the type of grains is manually identified and the cooking mode is controlled in the prior art, an effective solution is not provided at present.

Disclosure of Invention

The embodiment of the invention provides a method and a device for determining a cooking mode of grains and a cooking appliance, and at least solves the technical problem that the determined cooking mode is inaccurate due to the fact that the type of the grains is manually identified and the cooking mode is controlled in the prior art.

According to an aspect of an embodiment of the present invention, there is provided a method of determining a cooking mode of grains, including: controlling a microwave radar device to emit microwaves to scan grains in the cooking appliance, and acquiring echo images of the grains; acquiring the outline of the grain based on the echo imaging of the grain; determining a type of grain based on the profile of the grain, wherein the type of grain comprises at least one of: grains in whole grain state and grains in crushed grain state; a cooking profile for the grain is obtained based on the type of grain.

Optionally, acquiring the profile of the grain based on the echo imaging of the grain comprises: determining the center point of the grain from the echo imaging; taking the central point as a reference, obtaining a plurality of contour points, wherein the distances from the center points to the contour points are within a preset range; and connecting the plurality of contour points in sequence to obtain the contour of the grain.

Optionally, the echo imaging is plane amplitude imaging, wherein the grain thickness in the plane amplitude imaging of the grain is proportional to the reflected wave amplitude, and the central point is a point in the plane amplitude imaging where the reflected wave amplitude is maximum.

Optionally, determining the type of grain based on the profile of the grain comprises: calculating the area of the grains or the minimum circumscribed rectangle area of the grains based on the outlines of the grains; and performing K-means clustering based on the area of the grains or the minimum circumscribed rectangle area of the grains to distinguish the types of the grains.

Optionally, obtaining a cooking profile for the grain based on the type of grain comprises: in the case where the grains are multiparticulates, the proportion of each type of grain is determined according to the type of grain; and acquiring a corresponding cooking mode according to the proportion of each type of grains.

Optionally, performing K-means clustering based on the area of the grain or the minimum bounding rectangle area of the grain, and distinguishing the type of the grain, including: setting a K value of the cluster and a central value of the cluster, wherein the K value is the same as the type number of the grains and the number of the central values; and according to the clustering center value, performing center classification on each grain according to the area or the minimum circumscribed rectangle area, and determining the type of each grain.

Optionally, the method further comprises: and judging whether any grain is subjected to center classification, and if any grain is not subjected to center classification, classifying the grains which are not subjected to center classification until all grains are classified and determining the type.

Optionally, after acquiring the cooking pattern for the grains based on the type of the grains, the method further comprises: controlling a cooking appliance to cook the grains according to a cooking mode; in the cooking process, transmitting microwaves to scan the grains in cooking through a microwave radar device to obtain the moisture content of the grains in the cooking process; and controlling the cooking appliance to stop working if the moisture content of the grains in the cooking process reaches the target water amount.

According to another aspect of the embodiments of the present invention, there is also provided an apparatus for determining a cooking mode of grains, including: the scanning module is used for controlling the microwave radar device to emit microwaves to scan grains in the cooking appliance and acquiring echo images of the grains; the contour acquisition module is used for acquiring the contour of the grain based on the echo imaging of the grain; a type determination module for determining a type of grain based on a profile of the grain, wherein the type of grain comprises at least one of: grains in whole grain state and grains in crushed grain state; an acquisition module for acquiring a cooking pattern for the grain based on the type of the grain.

Optionally, the contour acquisition module comprises: the center point determining module is used for determining the center point of the grain from the echo imaging; the contour point acquisition module is used for acquiring a plurality of contour points by taking the central point as a reference, wherein the distances between the contour points and the central point are within a preset range; and the connecting module is used for sequentially connecting the plurality of contour points to obtain the contour of the grain.

Optionally, the echo imaging is plane amplitude imaging, wherein the grain thickness in the plane amplitude imaging of the grain is proportional to the reflected wave amplitude, and the central point is a point in the plane amplitude imaging where the reflected wave amplitude is maximum.

Optionally, the type determining module includes: the calculation module is used for calculating the area of the grains or the minimum circumscribed rectangle area of the grains based on the outlines of the grains; and the distinguishing module is used for carrying out K-means clustering based on the area of the grains or the minimum external rectangular area of the grains to distinguish the types of the grains.

Optionally, the obtaining module includes: the proportion determining module is used for determining the proportion of each type of grains according to the types of the grains under the condition that the grains are multiparticulate; and the cooking mode acquisition module is used for acquiring a corresponding cooking mode according to the proportion of each type of grains.

Optionally, the distinguishing module comprises: the setting module is used for setting the K value of the cluster and the central value of the cluster, wherein the K value is the same as the type number of grains and the number of the central values; and the classification module is used for performing center classification on each grain according to the area or the minimum circumscribed rectangle area according to the clustering center value to determine the type of each grain.

Optionally, the apparatus further comprises: and the judging module is used for judging whether any grain is subjected to center classification, and if any grain is not subjected to center classification, classifying the grains which are not subjected to center classification until all grains are classified and determining the type.

Optionally, the apparatus further comprises: the first control module is used for controlling the cooking appliance to cook the grains according to the cooking mode after the cooking mode for the grains is acquired based on the types of the grains; the moisture content acquisition module is used for transmitting microwaves to scan the grains in cooking through the microwave radar device in the cooking process to acquire the moisture content of the grains in the cooking process; and the second control module is used for controlling the cooking appliance to stop working if the moisture content of the grains in the cooking process reaches the target water amount.

According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein when the program is executed, the apparatus on which the storage medium is controlled performs any one of the above methods for determining the cooking mode of grains.

According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a program, wherein the program executes any one of the above methods for determining the cooking mode of grains.

According to another aspect of the embodiments of the present invention, there is also provided a cooking appliance including: the microwave radar device is used for transmitting microwaves to scan grains in the cooking utensil and acquiring echo images of the grains; a controller for executing a program, wherein the following processing steps are executed for data output from the microwave radar apparatus when the program is executed: acquiring the outline of the grain based on the echo imaging of the grain; determining a type of grain based on the profile of the grain, wherein the type of grain comprises at least one of: grains in whole grain state and grains in crushed grain state; and controlling the cooking appliance to work according to a cooking mode matched with the type of the grains based on the type of the grains.

In the embodiment of the invention, the microwave radar device is controlled to emit microwaves to scan grains in the cooking appliance, and echo images of the grains are obtained; acquiring the outline of the grain based on the echo imaging of the grain; determining a type of grain based on the profile of the grain, wherein the type of grain comprises at least one of: grains in whole grain state and grains in crushed grain state; a cooking profile for the grain is obtained based on the type of grain. Above-mentioned scheme detects cereal through microwave radar technique, carry out the profile positioning and through a series of characteristic parameters such as broken rice rate of clustering algorithm analysis cereal according to echo imaging to cereal granule, thereby give optimum culinary art mode, and carry out moisture monitoring in the cauldron constantly in culinary art process, thereby control rice and stop when reaching suitable moisture content, keep rice to have best, optimum taste, and then solved prior art through the kind of artifical discernment cereal and control culinary art mode, lead to the inaccurate technical problem of the culinary art mode of confirming.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:

FIG. 1 is a flow chart of an alternative method of determining a cooking profile of a grain according to an embodiment of the present application;

FIG. 2 is a flow chart of an alternative grain profile determination method according to an embodiment of the present application;

FIG. 3 is a flow chart of an alternative K-means clustering algorithm according to an embodiment of the present application;

FIG. 4 is a flow chart of an alternative microwave radar scanning based grain identification and control method according to an embodiment of the present application; and

FIG. 5 is a schematic diagram of an alternative apparatus for determining a cooking profile of a grain according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, system, article, or device that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, apparatus, article, or device.