CN109189811B - Water sample identification method and device - Google Patents
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Abstract
The application discloses a water sample identification method and device. The water sample identification method obtains various taste data after measuring a water sample to be detected through an electronic tongue, and the method also comprises the following steps: acquiring water sample taste parameters from taste data; establishing a water sample identification table containing preset water sample information matched with the water sample taste parameters through the water sample taste parameters; inputting a water sample to be detected; and identifying the water sample to be detected according to the water sample identification table. The application solves the technical problem that the correlation technique can not analyze and compare the taste information of the water sample.
Description
Technical Field
The application relates to the field of water sample analysis, in particular to a water sample identification method and device.
Background
The electronic tongue is a device for analyzing, identifying and judging the taste sense of a sample to be detected by simulating the human tongue, rapidly reflecting various taste sense information of the sample and realizing the identification and classification of the sample.
However, water has little characteristic of significant taste information, and thus cannot be analyzed and processed by taste indicators.
Aiming at the problem that the related technology can not analyze and compare the taste information of the water sample, an effective solution is not provided at present.
Disclosure of Invention
The main objective of the present application is to provide a water sample identification method and apparatus, so as to solve the problem that the related art cannot analyze and compare the taste information of the water sample.
In order to achieve the above object, according to one aspect of the present application, there is provided a water sample identification method.
According to the water sample identification method, the taste sense data are obtained after the water sample to be detected is measured through the electronic tongue, and the method further comprises the following steps: acquiring water sample taste parameters from taste data; establishing a water sample identification table containing preset water sample information matched with the taste parameters of the water sample through the taste parameters of the water sample; inputting a water sample to be detected; and identifying the water sample to be detected according to the water sample identification table.
Further, obtaining water sample taste parameters in taste data includes: obtaining a clustering result of taste data; and obtaining water sample taste parameters according to the clustering result.
Further, obtaining water sample taste parameters in taste data includes: obtaining a clustering result of taste data; obtaining a taste parameter of the first water sample according to the clustering result; obtaining a parameter comparison result of the taste parameters of the first water sample; and obtaining a second water sample parameter according to the parameter comparison result.
Further, obtaining the taste parameter of the water sample according to the clustering result comprises: judging whether the variance contribution rate of the taste sense data in the clustering result is greater than a preset value; and if the variance contribution rate of the taste data in the clustering result is greater than a preset value, taking the taste data as a water sample taste parameter.
Further, establishing a water sample identification table containing preset water sample information matched with the water sample taste parameters through the water sample taste parameters comprises: acquiring a corresponding relation between taste parameters of the water sample and preset water sample information; and recording water sample taste parameters corresponding to the preset water sample information in the water sample identification table.
Further, discerning the water sample that awaits measuring according to the water sample identification table includes: searching preset water sample information matched with the taste parameters of the water sample to be detected in a water sample identification table; and taking the preset water sample information as the water sample information of the water sample to be detected.
Further, the electronic tongue comprises at least: and the electronic tongue with the model TS-5000Z.
In order to achieve the above objects, according to another aspect of the present application, there is provided a water sample recognition device.
The water sample recognition device according to the application includes: the parameter acquisition module is used for acquiring water sample taste parameters from the taste data; the water sample identification table building module is used for building a water sample identification table containing preset water sample information matched with the water sample taste parameters through the water sample taste parameters; the water sample input module is used for inputting a water sample to be detected; and the identification module is used for identifying the water sample to be detected according to the water sample identification table.
Further, the parameter obtaining module comprises: the clustering unit is used for acquiring a clustering result of the taste sense data; and the acquisition unit is used for acquiring the taste parameters of the water sample according to the clustering result.
Further, the water sample identification table building module comprises: the corresponding relation construction unit is used for acquiring the corresponding relation between the taste parameters of the water sample and the preset water sample information; and the recording unit is used for recording the water sample taste parameters corresponding to the preset water sample information on the water sample identification table.
In the embodiment of the application, the mode that the electronic tongue is used for collecting the taste sense data of the water sample to be tested is adopted, the taste sense data are subjected to cluster analysis to obtain the taste sense parameters of the water sample, and the water sample information corresponding to the taste sense parameters of the water sample is searched, so that the aim of identifying the water sample to be tested is fulfilled, beneficial technical effects are achieved, and the technical problem that the taste sense of the water sample cannot be analyzed is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is a schematic flow chart of a water sample identification method according to embodiment 1 of the present application;
fig. 2 is a schematic flow chart of a water sample identification method according to embodiment 2 of the present application;
fig. 3 is a schematic flow chart of a water sample identification method according to embodiment 3 of the present application;
fig. 4 is a schematic flow chart of a water sample identification method according to embodiment 4 of the present application;
fig. 5 is a schematic flow chart of a water sample identification method according to embodiment 5 of the present application;
fig. 6 is a schematic flow chart of a water sample identification method according to embodiment 6 of the present application;
fig. 7 is a schematic view of a water sample identification device according to embodiment 7 of the present application;
fig. 8 is a schematic view of a water sample identification device according to embodiment 8 of the present application;
fig. 9 is a schematic view of a water sample identification device according to embodiment 9 of the present application;
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application 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 should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus 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, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The application relates to a water sample identification method, which obtains taste sense data after measuring a water sample to be detected through an electronic tongue, and the method also comprises the following steps: acquiring water sample taste parameters from taste data; establishing a water sample identification table containing preset water sample information matched with the taste parameters of the water sample through the taste parameters of the water sample; inputting a water sample to be detected; and identifying the water sample to be detected according to the water sample identification table.
In this embodiment, a mode of collecting taste data of a water sample to be tested by an electronic tongue is adopted, the taste data is subjected to cluster analysis to obtain taste parameters of the water sample, and water sample information corresponding to the taste parameters of the water sample is searched, so that the purpose of identifying the water sample to be tested is achieved, beneficial technical effects are achieved, and the technical problem that the taste information of the water sample cannot be analyzed and compared in the related technology is solved.
The application relates to a water sample identification method, which obtains taste sense data after measuring a water sample to be tested through an electronic tongue, wherein the step can adopt the electronic tongue with the model of TS-5000Z to sample the water sample to be tested so as to obtain the taste sense data, as shown in figure 1, the method also comprises the following steps of S101 to S104:
s101, acquiring water sample taste parameters from taste data; in this step, the electronic tongue data collected by the electronic tongue with the model TS-5000Z includes taste data of delicate flavor, salty flavor, sour flavor, bitter taste, astringent flavor, astringent taste, aftertaste and mineral substance bitter taste. In this step, the taste value may be classified by a cluster analysis method, and the taste data of the classified water samples may be used as the taste parameter of the water samples, where the parameter may be the range of each taste data, or the type of the taste data with more prominent value may be used as the taste parameter of the water samples representing the information of the water samples.
S102, establishing a water sample identification table containing preset water sample information matched with the taste parameters of the water sample through the taste parameters of the water sample; in the step, the acquired water sample taste parameter data capable of representing the water sample information is matched with the water sample information of the water sample, the water sample information of the water sample is taken as preset water sample information, so that the corresponding relation between the water sample taste parameter and the preset water sample information is formed, and a water sample identification table containing the preset water sample information matched with the water sample taste parameter is constructed.
S103, inputting a water sample to be detected; in this step, the water sample to be tested can be input into the TS-5000Z electronic tongue to obtain the taste data of the water sample to be tested.
And S104, identifying the water sample to be detected according to the water sample identification table. In this step, the taste data obtained in step S103 is clustered to obtain taste parameters of the water sample, and the water sample information of the water sample to be tested can be obtained by searching the preset water sample information matched with the taste parameters of the water sample in the water sample identification table.
As shown in fig. 2, the step S101 of obtaining water sample taste parameters from taste data includes: steps S201 to S202:
s201, acquiring a clustering result of taste data; in the step, the taste data are subjected to cluster analysis so as to distinguish various water samples. Specifically, the water sample to be tested comprises pure water, Kangshifu packaged drinking water, ice dew packaged drinking water, Baisuishan mineral water, Beijiquan, Aiquan, Huangshan natural mineral water, Qilian glacier mineral water, Cailaogu mineral water, heart water drinking natural water and Laoshan drinking natural mineral water. And performing cluster analysis on the taste data of the water samples to be detected to obtain two types of taste clustering results, namely two types of tastes of bitter and salty minerals.
S202, water sample taste parameters are obtained according to the clustering result. In this step, the clustering result obtained in step S201 may be used to obtain taste parameters of the water samples according to taste data of the same type of water samples in each clustering result. In this step, the taste obtained by clustering in step S201: the bitter taste and the salty taste of the minerals are used as taste parameters of the water samples of the two water samples, namely the taste parameters of the water samples of the first class (pure water drinking purified water, Kangshifu packaged drinking water and ice dew packaged drinking water) are mainly expressed in that the bitter taste and the salty taste of the minerals are lower; the taste parameters of the second water sample (Baisui mountain mineral water, Bei Jiquan, Aiquan, Huangshan natural mineral water, Qilian glacier mineral water, blue high-cover mineral water, heart water drinking natural water and Laoshan drinking natural mineral water) are respectively strong in salty taste and mineral bitter taste.
As shown in fig. 3, the step S202 of obtaining the taste parameter of the water sample according to the clustering result includes steps S301 to S302:
s301, judging whether the variance contribution rate of the taste data in the clustering result is greater than a preset value; in this step, each of the clustering results includes a taste index contribution table of taste index contribution rates of the taste data, and the taste index contribution table is used to search for taste data having a larger taste contribution rate after clustering, and in this step, the predetermined variance contribution rate may be set to 90%.
S302, if the variance contribution rate of the taste data in the clustering result is greater than a preset value, taking the taste data as a water sample taste parameter. In this step, if the variance contribution rate in the clustering result is greater than the preset value, it is indicated that the analysis substantially covers most of the taste information of the tested water sample. In this step, the taste index with higher contribution rate is searched in the taste index contribution table, and is used as the water sample taste parameter corresponding to the clustered taste. Specifically, the clustered taste results are obtained in step S201, and by searching the taste index contribution table, the taste indexes with higher contribution rate in the taste results are obtained as the bitter taste, the astringent taste and the salty taste of the minerals, and further comparing the taste data of the two first water samples, and the taste parameters of the first water sample are obtained as the bitter taste, the astringent taste and the salty taste of the minerals are stronger; the taste parameters of the water samples of the second class are that the mineral substances have strong bitter taste and weak astringent taste and salty taste.
As shown in fig. 4, in an embodiment of the present application, the step S202 of obtaining the water sample taste parameter according to the clustering result further includes steps S401 to S404:
s401, acquiring a clustering result of taste sense data; in the step, the taste data are subjected to cluster analysis so as to distinguish various water samples. Specifically, the water sample to be tested comprises pure water, Kangshifu packaged drinking water, ice dew packaged drinking water, Baisuishan mineral water, Beijiquan, Aiquan, Huangshan natural mineral water, Qilian glacier mineral water, Cailaogu mineral water, heart water drinking natural water and Laoshan drinking natural mineral water. And performing cluster analysis on the taste data of the water samples to be detected to obtain two types of taste clustering results, namely two types of tastes of bitter and salty minerals.
S402, obtaining water sample taste parameters according to the clustering result. In this step, the clustering result obtained in step S201 may be used to obtain taste parameters of the water samples according to taste data of the same type of water samples in each clustering result. In this step, the taste obtained by clustering in step S201: the bitter taste and the salty taste of the minerals are used as taste parameters of the water samples of the two water samples, namely the taste parameters of the water samples of the first class (pure water drinking purified water, Kangshifu packaged drinking water and ice dew packaged drinking water) are mainly expressed in that the bitter taste and the salty taste of the minerals are lower; the taste parameters of the second water sample (Baisui mountain mineral water, Bei Jiquan, Aiquan, Huangshan natural mineral water, Qilian glacier mineral water, blue high-cover mineral water, heart water drinking natural water and Laoshan drinking natural mineral water) are respectively strong in salty taste and mineral bitter taste.
S403, acquiring a parameter comparison result of the taste parameters of the first water sample; in this step, the taste data of the taste parameter of the first water sample obtained in step S402 is further compared and analyzed to determine the specific water source. Specifically, the second type of water sample is mineral water, and relates to the source of the water source, such as underground water or lake in the water source area and mountain range water in the water source area, and comparison of the taste data intensity between the bitter taste and the salty taste of the mineral water in the second type of water sample shows that the mineral water in the underground water or lake in the water source area and the mineral water in the mountain range water in the water source area have strong bitter taste intensity and strong difference in salty taste intensity, and the mineral water in the underground water or lake in the water source area has obviously high salty taste intensity compared with the mineral water in the mountain range water in the water source area.
S404, obtaining a second water sample parameter according to the parameter comparison result. In this step, the comparison result of the parameters of the mineral water with groundwater or lake as the water source and the mineral water with mountain water as the water source obtained in step S403 is used as the second water sample parameter, that is, the second water sample parameter of the mineral water with groundwater or lake as the water source is that the mineral water has strong bitter taste and salt taste intensity; the mineral water with the mountain range water source as the water source has the second water sample parameter that the mineral substance has stronger bitter taste and weaker salty taste intensity.
As shown in fig. 5, the step S102 of establishing a water sample identification table containing preset water sample information matching with the taste parameters of the water sample by using the taste parameters of the water sample includes the steps S501 to S502:
s501, acquiring a corresponding relation between taste parameters of a water sample and preset water sample information; in this step, the taste parameter of the water sample is matched with the water sample information corresponding to the taste parameter of the water sample, specifically, the taste parameter of the water sample obtained in the step S202 is mineral bitter taste and weak salty taste; the taste parameters of the water samples of the mineral water of the second class are strong bitter taste and salty taste of the minerals, and the drinking water, the mineral water and the taste parameters of the water samples of the drinking water and the mineral water establish a corresponding relationship. In this step, the water sample information of the mineral water with the groundwater or lake as the water source obtained in step S404 may be further correlated with the taste parameters of the mineral water with a bitter taste and a salty taste intensity of the mineral water, and a mountain water source as the water source of the mineral water with a bitter taste and a salty taste intensity of the mineral water.
S502, recording water sample taste parameters corresponding to the preset water sample information in the water sample identification table. Recording water sample information in a water sample identification table in the step as drinking water, wherein corresponding water sample taste parameters are that mineral bitter taste and salty taste are weak; the water sample information is mineral water, and the corresponding taste parameters of the water sample are that the bitter taste and the salty taste of minerals are strong; the water sample information is mineral water with mountain range as water source, and the corresponding water sample taste parameters are mineral water with strong bitter taste and weak salty taste; the water sample information is that the mineral water with lake or underground water as the water source is strong in saline taste and strong in mineral bitter taste.
As shown in fig. 6, the step S104 of identifying the water sample to be detected according to the water sample identification table includes steps S601 to S602:
s601, searching preset water sample information matched with taste parameters of a water sample to be detected in a water sample identification table; in this step, since the water sample identification table records the preset water sample information and the corresponding water sample taste parameters, the water sample taste parameters of the preset water sample information consistent with the water sample taste parameters of the water sample to be tested can be obtained only by obtaining the water sample taste parameters.
S602, the preset water sample information is used as the water sample information of the water sample to be detected. In this step, since the taste parameter of the water sample to be tested is consistent with the taste parameter of the water sample of the preset water sample information, the preset water sample information can be regarded as the water sample information of the water sample to be tested, i.e. the water sample information of the water sample to be tested is identified.
The present application further relates to a water sample recognition device, as shown in fig. 7, the water sample recognition device includes:
the parameter acquisition module is used for acquiring water sample taste parameters from the taste data;
the water sample identification table building module is used for building a water sample identification table containing preset water sample information matched with the water sample taste parameters through the water sample taste parameters;
the water sample input module is used for inputting a water sample to be detected;
and the D identification module is used for identifying the water sample to be detected according to the water sample identification table.
As shown in fig. 8, the a parameter obtaining module further includes:
the clustering unit is used for acquiring a clustering result of the taste data;
and the F acquisition unit is used for acquiring the taste parameters of the water sample according to the clustering result.
As shown in fig. 9, the B water sample identification table constructing module further includes:
the G corresponding relation construction unit is used for acquiring the corresponding relation between the taste parameters of the water sample and the preset water sample information;
and the H recording unit is used for recording the water sample taste parameters corresponding to the preset water sample information on the water sample identification table.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A water sample identification method is characterized in that taste data are obtained after a water sample to be detected is measured through an electronic tongue, and the method further comprises the following steps:
acquiring water sample taste parameters from taste data; the taste data comprises delicate flavor, salty flavor, sour flavor, bitter foreign flavor, astringent aftertaste and mineral bitter flavor, and the water samples comprise first water sample drinking water and second water sample mineral water;
establishing a water sample identification table containing preset water sample information matched with the water sample taste parameters through the water sample taste parameters;
inputting a water sample to be detected;
identifying the water sample to be detected according to the water sample identification table;
the obtaining of water sample taste parameters in taste data comprises:
obtaining a clustering result of the taste data; performing cluster analysis on the taste data to distinguish various water samples;
obtaining a first water sample taste parameter according to the clustering result; obtaining taste parameters of the first water sample according to taste data of the same type of water samples in each clustering result;
obtaining a parameter comparison result of the taste parameters of the first water sample;
and obtaining a second water sample parameter according to the parameter comparison result.
2. The water sample identification method of claim 1, wherein the obtaining of water sample taste parameters in taste data comprises:
obtaining a clustering result of the taste data;
and obtaining the taste parameters of the water sample according to the clustering result.
3. The water sample identification method according to claim 2, wherein the obtaining of the taste parameter of the water sample according to the clustering result comprises:
judging whether the variance contribution rate of the taste sense data in the clustering result is greater than a preset value;
and if the variance contribution rate of the taste data in the clustering result is greater than a preset value, taking the taste data as a water sample taste parameter.
4. The water sample identification method according to claim 1, wherein the establishing of the water sample identification table containing the preset water sample information matched with the water sample taste parameters through the water sample taste parameters comprises:
acquiring the corresponding relation between the taste parameters of the water sample and the preset water sample information;
and recording the water sample taste parameters corresponding to the preset water sample information in a water sample identification table.
5. The water sample identification method according to claim 1, wherein the identifying the water sample to be detected according to the water sample identification table comprises:
searching preset water sample information matched with the taste parameters of the water sample to be detected in the water sample identification table;
and taking the preset water sample information as the water sample information of the water sample to be detected.
6. The water sample identification method according to claim 1, wherein the electronic tongue comprises at least: and the electronic tongue with the model TS-5000Z.
7. A water sample identification device, comprising:
the parameter acquisition module is used for acquiring water sample taste parameters from the taste data; the taste data comprises delicate flavor, salty flavor, sour flavor, bitter foreign flavor, astringent aftertaste and mineral bitter flavor, and the water samples comprise first water sample drinking water and second water sample mineral water;
the water sample identification table building module is used for building a water sample identification table containing preset water sample information matched with the water sample taste parameters through the water sample taste parameters;
the water sample input module is used for inputting a water sample to be detected;
the identification module is used for identifying the water sample to be detected according to the water sample identification table;
the obtaining of water sample taste parameters in taste data comprises:
obtaining a clustering result of the taste data; performing cluster analysis on the taste data to distinguish various water samples;
obtaining a first water sample taste parameter according to the clustering result; obtaining taste parameters of the first water sample according to taste data of the same type of water samples in each clustering result;
obtaining a parameter comparison result of the taste parameters of the first water sample;
and obtaining a second water sample parameter according to the parameter comparison result.
8. The water sample identification device according to claim 7, wherein the parameter acquisition module comprises:
the clustering unit is used for acquiring a clustering result of the taste data;
and the acquisition unit is used for acquiring the taste parameters of the water sample according to the clustering result.
9. The water sample identification device according to claim 7, wherein the water sample identification table construction module comprises:
the corresponding relation construction unit is used for acquiring the corresponding relation between the taste parameters of the water sample and the preset water sample information;
and the recording unit is used for recording the water sample taste parameters corresponding to the preset water sample information on the water sample identification table.
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| CN109189811A (en) | 2019-01-11 |
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