CN110850045A - Method and device for identifying smell of coffee beans, storage medium and electronic device - Google Patents
Method and device for identifying smell of coffee beans, storage medium and electronic device Download PDFInfo
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Abstract
The invention provides a method and a device for identifying the smell of coffee beans, a storage medium and an electronic device, wherein the method comprises the following steps: detecting a plurality of coffee beans by respective sensors in a sensor array such that each sensor has a corresponding sensitivity to an odor of the plurality of coffee beans; the odor of the coffee beans to be identified is identified by the sensors in the sensor array. By the coffee bean smell identification method and device, the problem that the smell of the coffee beans is difficult to identify in the related art is solved.
Description
Technical Field
The invention relates to the field of intelligent hardware, in particular to a coffee bean smell identification method and device, a storage medium and an electronic device.
Background
Coffee is one of three major beverages in the world, is a beverage made from roasted coffee beans, and is a main beverage popular in the world together with cocoa and tea. In addition to being differentiated by taste, people also typically differentiate between various coffees by the origin of the coffee beans. The number of the varieties of the coffee at present is about 100, the coffee in each production place has unique taste and aroma, different roasting degrees can reflect different flavors, consumers who do not know the coffee have much confusion when selecting coffee beans, and a mode for identifying the smell of the coffee beans does not exist in the prior art.
In view of the above problems in the related art, no effective solution exists at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for identifying the smell of coffee beans, a storage medium and an electronic device, which are used for at least solving the problem that the smell of the coffee beans is difficult to identify in the related art.
According to an embodiment of the present invention, there is provided a method of recognizing smell of coffee beans, including: detecting a plurality of coffee beans by respective sensors in a sensor array such that each sensor has a corresponding sensitivity to an odor of the plurality of coffee beans; the odor of the coffee beans to be identified is identified by the sensors in the sensor array.
According to another embodiment of the present invention, there is provided an aroma recognition apparatus for coffee beans, including: the first detection module is used for detecting various coffee beans through various sensors in the sensor array so that each sensor has corresponding sensitivity to the odor of the various coffee beans; and the identification module is used for identifying the smell of the coffee beans to be identified through the sensors in the sensor array.
According to a further embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the sensors in the sensor array are used for detecting various coffee beans, so that each sensor has corresponding sensitivity to various coffee bean smells, the coffee bean smells to be identified can be identified through the sensors in the sensor array, the coffee bean smell identification mode is realized, and the problem that the coffee bean smells are difficult to identify in the related technology is solved.
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 flowchart of an odor recognition method of coffee beans according to an embodiment of the present invention;
fig. 2 is a block diagram of a structure of an odor recognition apparatus for coffee beans according to an embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
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.
Example 1
In the present embodiment, a method for recognizing the smell of coffee beans is provided, and fig. 1 is a flowchart of a method for recognizing the smell of coffee beans according to an embodiment of the present invention, as shown in fig. 1, the flowchart includes the following steps:
step S102, detecting various coffee beans through various sensors in a sensor array so that each sensor has corresponding sensitivity to the odor of various coffee beans;
step S104, identifying the odor of the coffee beans to be identified through the sensors in the sensor array.
Based on the above steps S102 and S104, the sensors in the sensor array detect the coffee beans so that each sensor has a corresponding sensitivity to the odor of the coffee beans, and then the sensor in the sensor array can identify the odor of the coffee beans to be identified, thereby implementing a way of identifying the odor of the coffee beans and solving the problem that the odor of the coffee beans is difficult to identify in the related art.
In an alternative embodiment of the present embodiment, the manner that the various kinds of coffee beans are detected by the sensors in the sensor array in step S102, so that each sensor has a corresponding sensitivity to the odors of the various kinds of coffee beans, may further include:
step S102-11, detecting each coffee bean for a preset number of times through each sensor in the sensor array until various coffee beans are detected;
and S102-12, determining the sensitivity of each sensor corresponding to the smells of the coffee beans according to the detection result.
The sensor array in this embodiment may be incorporated in an electronic nose, and the coffee beans have no flavor, but after roasting, proteins, amino acids, and saccharides in coffee undergo maillard reaction to generate volatile gas. The volatile gases produced by roasting coffee beans in different producing areas are different, so that the smell of the coffee beans can be distinguished by a sensor array in an electronic nose.
In another optional implementation manner of this embodiment, the method of this embodiment further includes:
step S106, detecting various coffee beans through each sensor in the sensor array, so that after each sensor has sensitivity corresponding to the odor of the various coffee beans, determining the origin corresponding to the various coffee beans;
step S108, detecting the odor of various coffee beans by each sensor in the sensor array;
step S110, analyzing the origin and the detection results corresponding to the plurality of coffee beans according to a principal component analysis method PCA to construct a first map, wherein the first map is used to indicate the correspondence between the odor of the coffee beans and the origin of the coffee beans.
As can be seen from the above steps S106 to S110, a first map indicating the correspondence between the odor of the coffee beans and the origin of the coffee beans may be constructed, and in a specific application scenario, coffee beans of different origins, such as brazil, mantinine, kenya, vienna, lava, italy, jamaica, columbia, hawaii, and Yunnan, are used as test samples, and in 10 areas, 100g of coffee beans (or coffee beans of other weights, such as 200g) are weighed and baked to an intermediate level by a baking machine. After cooling, grinding by a bean grinder, and sieving to obtain 5g of sample powder. The method comprises the steps of detecting samples by using an electronic nose with different sensors, repeating each sample for 10 times, and clicking a Principal Component Analysis (PCA) method in software carried by the electronic nose to obtain first maps of the PCA on aroma profile maps of coffee beans in different producing areas so as to construct a database.
In another optional implementation manner of this embodiment, the method steps of this embodiment may further include:
step S112, after the odor of the coffee beans to be identified is identified through the sensors in the sensor array, analyzing the odor of the coffee beans to be identified according to PCA to obtain a second map of the coffee beans to be identified;
step S114, comparing the first map with the second map;
step S116, determining the origin of the coffee beans to be identified according to the overlapping area under the condition that the comparison result indicates that the overlapping area of the first map and the second map is larger than or equal to a preset threshold; and under the condition that the comparison result indicates that the overlapping area of the first map and the second map is smaller than a preset threshold value, updating the first map according to the second map.
For the above steps S112 to S116, in a specific application scenario, the following may be: and (3) inserting the sample injection electronic nose into a headspace sample injection bottle filled with coffee powder at room temperature, setting the same air inflow, and starting to measure by using the electronic nose. The volatile substances in the coffee collide with the surface of the sensor and generate a response, which is converted into data that is transmitted to a signal processing unit that analyzes and records the characteristic values of the different sensor arrays.
And (3) using a Principal Component Analysis (PCA) method, generating different odor maps from coffee beans in different producing areas, comparing the odor maps with the known contour map collected in the odor feature database, and judging the producing areas of the samples when the positions of the odor maps are within the circle of the known area or the overlapping area is more than or equal to 85%. When the sample map does not intersect with the map in the known area or the overlapping area is less than or equal to 15%, the data are uploaded to a database, if the sample is in the same area after the subsequent sample test, the same producing area can be judged, the information of the new producing area is automatically uploaded, and the odor characteristic database is expanded in real time. Of course, the above 85% and 15% are only examples, and the setting can be made according to actual situations.
Therefore, through the steps S112 to S116, the electronic nose collects the odor fingerprint spectrums of the coffee bean samples from different producing areas, and the producing area of the unknown coffee bean sample is identified through comparison with the known spectrums of the odor characteristic database, so that the limitation of the existing method for identifying the producing area of the coffee bean is overcome, and the problems of low accuracy and poor identification effect caused by fatigue evaluation, large subjective influence and poor repeatability in artificial sensory evaluation are solved.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
In this embodiment, there is also provided an odor recognition apparatus for coffee beans, which is used to implement the above embodiments and preferred embodiments, and the description of the odor recognition apparatus is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a block diagram showing the structure of an apparatus for recognizing odor of coffee beans according to an embodiment of the present invention, as shown in fig. 2, the apparatus comprising: a first detection module 22, configured to detect a plurality of types of coffee beans by respective sensors in the sensor array, so that each sensor has a corresponding sensitivity to the odor of the plurality of types of coffee beans; and the identification module 24 is coupled with the first detection module 22 and used for identifying the odor of the coffee beans to be identified through the sensors in the sensor array.
Optionally, the first detecting module 22 in this embodiment may further include: the detection unit is used for detecting each coffee bean for preset times through each sensor in the sensor array until various coffee beans are detected; and the determining unit is used for determining the sensitivity of each sensor corresponding to the smells of the coffee beans according to the detection result.
Optionally, the apparatus of this embodiment may further include: the first determining module is used for determining the origin corresponding to the coffee beans after detecting the coffee beans by each sensor in the sensor array so that each sensor has sensitivity corresponding to the smell of the coffee beans; the second detection module is used for detecting the smells of various coffee beans through each sensor in the sensor array; a construction module for analyzing the origin and the detection results corresponding to the plurality of coffee beans according to a principal component analysis method PCA to construct a first map, wherein the first map is used for indicating the correspondence between the smell of the coffee beans and the origin of the coffee beans.
Optionally, the apparatus of this embodiment may further include: the analysis module is used for identifying the odor of the coffee beans to be identified through the sensors in the sensor array, and analyzing the odor of the coffee beans to be identified according to the PCA to obtain a second map of the coffee beans to be identified; a comparison module for comparing the first map with the second map; the second determining module is used for determining the origin of the coffee beans to be identified according to the overlapping area under the condition that the comparison result indicates that the overlapping area of the first map and the second map is larger than or equal to a preset threshold value; and the updating module is used for updating the first map according to the second map under the condition that the comparison result indicates that the overlapping area of the first map and the second map is smaller than a preset threshold value.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Example 3
Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, detecting the coffee beans by the sensors in the sensor array so that each sensor has corresponding sensitivity to the smell of the coffee beans;
s2, identifying the odor of the coffee beans to be identified by the sensors in the sensor array.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, detecting the coffee beans by the sensors in the sensor array so that each sensor has corresponding sensitivity to the smell of the coffee beans;
s2, identifying the odor of the coffee beans to be identified by the sensors in the sensor array.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for recognizing smell of coffee beans, comprising:
detecting a plurality of coffee beans by respective sensors in a sensor array such that each sensor has a corresponding sensitivity to an odor of the plurality of coffee beans;
the odor of the coffee beans to be identified is identified by the sensors in the sensor array.
2. The method of claim 1, wherein detecting a plurality of coffee beans by respective sensors in a sensor array such that each sensor has a corresponding sensitivity to the odor of the plurality of coffee beans comprises:
detecting each coffee bean for a preset number of times by each sensor in the sensor array until the coffee beans are detected;
and determining the sensitivity of each sensor corresponding to the smell of the coffee beans according to the detection result.
3. The method of claim 1, wherein after detecting the plurality of coffee beans by respective sensors in the sensor array such that each sensor has a corresponding sensitivity to the odor of the plurality of coffee beans, the method further comprises:
determining a place of origin corresponding to the plurality of coffee beans;
detecting, by each sensor in the sensor array, an odor of the plurality of coffee beans;
analyzing the origin and the detection results corresponding to the plurality of coffee beans according to a principal component analysis method PCA to construct a first map indicating correspondence between the smell of the coffee beans and the origin of the coffee beans.
4. The method of claim 3, wherein identifying the odor of the coffee beans to be identified by the sensors of the sensor array comprises:
analyzing the odor of the coffee beans to be identified according to the PCA to obtain a second map of the coffee beans to be identified;
comparing the first map to the second map;
and determining the origin of the coffee beans to be identified according to the overlapping area under the condition that the comparison result indicates that the overlapping area of the first map and the second map is larger than or equal to a preset threshold value.
5. The method of claim 4,
and updating the first map according to the second map under the condition that the comparison result indicates that the overlapping area of the first map and the second map is smaller than a preset threshold value.
6. An apparatus for recognizing smell of coffee beans, comprising:
the first detection module is used for detecting various coffee beans through various sensors in the sensor array so that each sensor has corresponding sensitivity to the odor of the various coffee beans;
and the identification module is used for identifying the smell of the coffee beans to be identified through the sensors in the sensor array.
7. The apparatus of claim 6, wherein the first detection module comprises:
the detection unit is used for detecting each coffee bean for preset times through each sensor in the sensor array until the coffee beans are detected;
and the determining unit is used for determining the sensitivity of each sensor corresponding to the smells of the coffee beans according to the detection result.
8. The apparatus of claim 6, further comprising:
the first determining module is used for determining the origin corresponding to the coffee beans after detecting the coffee beans by each sensor in the sensor array so that each sensor has sensitivity corresponding to the smell of the coffee beans;
a second detection module for detecting the odor of the plurality of coffee beans by each sensor of the sensor array;
a construction module for analyzing the origin and the detection result corresponding to the plurality of coffee beans according to a principal component analysis method PCA to construct a first map, wherein the first map is used for indicating the correspondence between the odor of the coffee beans and the origin of the coffee beans.
9. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to carry out the method of any one of claims 1 to 5 when executed.
10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 5.
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Application publication date: 20200228 |