CN112016966A - Visual analysis system for cranberry slice quality identification and use method - Google Patents

Visual analysis system for cranberry slice quality identification and use method Download PDF

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Publication number
CN112016966A
CN112016966A CN202010883114.0A CN202010883114A CN112016966A CN 112016966 A CN112016966 A CN 112016966A CN 202010883114 A CN202010883114 A CN 202010883114A CN 112016966 A CN112016966 A CN 112016966A
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cranberry
identification
slice
visual analysis
brand
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林波
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Anhui Xueyu Swallow Fruit Food Co ltd
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Anhui Xueyu Swallow Fruit Food Co ltd
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Abstract

The invention discloses a cranberry slice quality identification visual analysis system and a using method thereof, and the system comprises an original data storage module, a chart generation program module, a chart software program module, an independent brand cranberry slice quality identification type and value recording module, and a cranberry slice quality identification visual analysis graph display module; the automatic research and development brand cranberry slice quality identification type and numerical value input module thereof are associated with the original data storage module and can call the stored data, the called data is input to the chart generation program module, a graph and a color are selected in the chart software program module, and the cranberry slice quality identification visual analysis graph is displayed through the cranberry slice quality identification visual analysis graph display module. The invention has the advantages that the quantity of the identification data of the self-researched brand is large in the market research process, the comparison with the identification data of the self-researched brand is convenient, the intuition of the result obtained in the form of the chart is good, and the analysis efficiency after the market research is improved.

Description

Visual analysis system for cranberry slice quality identification and use method
The technical field is as follows:
the invention relates to the field of food processing, in particular to a cranberry slice quality identification visual analysis system and a use method thereof.
Background art:
cranberries, also known as cranberries, are named from the original name "cranberries", since cranberry flowers resemble the head and mouth of a crane. Is commonly known as a vaccinium genus of Ericaceae, a subclass of red strawberry liverwort (scientific name: Oxycococcs, also known as taraxacum), and the species of the subclass are evergreen shrubs which mainly grow in acid peat soil in a cool zone of northern hemisphere.
The cranberry is a natural antibacterial health fruit, and is the best natural diet therapy for preventing and treating various bacterial infections, urethritis, cystitis and chronic pyelonephritis of female daily urinary system.
At present, numerous enterprises in the world process foods such as cranberry chewable tablets, cranberry juice, cranberry capsules, cranberry vinegar and cranberry dried foods, and the cranberries become indispensable table good products and daily dietary partners for numerous families.
The competition among enterprises such as cranberry chewable tablets, cranberry stems and the like for producing and processing the cranberries is gradually highlighted, so that the quality is improved, the enterprises cater to the love of consumers, and the competitiveness of the enterprises is increased which must be considered by the cranberry processing enterprises. In the market research and analysis process, products of all cranberry enterprises are subjected to slicing analysis experiments, after data are collected, the data are listed into tables, the intuition is poor, market research samples are increased, the data volume is correspondingly increased, when a large amount of data need to be compared, if a single histogram is made, manpower and material resources are consumed, and meanwhile, the error rate is higher.
The invention content is as follows:
in order to make up for the defects of the prior art, the invention aims to provide a cranberry slice quality control visual analysis system and a use method thereof, and effectively solves the problems that quality control data are greatly increased in the market research process, the comparison with the quality control data of an independently developed brand is inconvenient, and the obtained result is poor in visual property.
The technical scheme of the invention is as follows:
the visual analysis system for the cranberry slice quality identification comprises an original data storage module, a chart generation program module, a chart software program module, an independent brand cranberry slice quality identification type and value recording module and a cranberry slice quality identification visual analysis chart display module;
the automatic research and development brand cranberry slice quality identification type and the numerical value input module thereof are associated with the original data storage module and can call data stored in the original data storage module, the data is called and input to the chart generation program module, a graph and a color are selected in the chart software program module, and the cranberry slice quality identification visual analysis chart is displayed through the cranberry slice quality identification visual analysis chart display module.
The cranberry slice quality identification visual analysis system is characterized in that: the original data storage module is created as follows: collecting and storing identification category parameters of cranberry brand cranberry slices with known degrees worldwide, wherein the identification categories comprise fullness, color degree, uniformity, glossiness, fragrance, acid sweetness, hardness and moisture average values.
The cranberry slice quality identification visual analysis system is characterized in that: the chart generation program module creates: the cross axis is a cranberry brand cranberry slice with popularity in the world and an autonomously developed brand cranberry slice; the vertical axis is the value of one of the identification categories.
The cranberry slice quality identification visual analysis system is characterized in that: the chart software program module creates: including progressive bar, line, color-changing, single-series, 3D, stacked and percent histograms and colors.
The cranberry slice quality identification visual analysis system is characterized in that: the automatic research and development brand cranberry slice identification type and numerical value recording module comprises: inputting one of the measured average data of the category fullness, the color degree, the evenness, the glossiness, the fragrance, the acid-sweetness, the hardness and the moisture of the brand identity of the independent research and development.
The using method of the cranberry slice quality visual analysis system is characterized by comprising the following steps of:
step one, obtaining identification data: measuring average data of the sample identification category fullness, the color degree, the uniformity, the glossiness, the fragrance, the acid-sweetness, the hardness and the moisture of the autonomously developed brand cranberry slices by an experimental instrument;
step two, selecting any kind of identification kind and numerical value thereof in the step one according to requirements, and inputting the identification kind and numerical value thereof into an independent research and development brand cranberry slice identification kind and numerical value input module;
thirdly, calling out a numerical value of a longitudinal axis requirement from the original data storage module by the chart generation program module, namely calling out a quality control parameter of the cranberry brand cranberry slice with the popularity in the world of the same quality control category in the second step;
selecting and confirming the required graphs and colors in the chart software program module;
and step five, displaying the cranberry slice quality identification visual analysis diagram by the cranberry slice quality identification visual analysis diagram display module.
The invention has the advantages that:
the invention greatly increases the quality control data of the self-researched brand in the market research process, is very convenient to compare with the quality control data of the self-researched brand, has good intuition of the obtained result through the form of the chart, is beneficial to improving the analysis after the market research and improves the working efficiency.
Description of the drawings:
fig. 1 is a schematic block diagram of the present invention.
Fig. 2 is a table of cranberry brand cranberry processing enterprise slice data with autonomically developed brands and parts of awareness worldwide during the research process of the present invention.
FIG. 3 is a visual analysis of the fullness of the cranberry slice of FIG. 2 in accordance with the present invention;
FIG. 4 is a visual analysis of the color and luster of the cranberry slice of FIG. 2 in accordance with the present invention;
FIG. 5 is a visual analysis of the uniformity of cranberry slices of FIG. 2 in accordance with the present invention;
FIG. 6 is a visual analysis of the gloss of cranberry slices of FIG. 2 in accordance with the present invention;
FIG. 7 is a visual analysis of the flavor of cranberry slices of FIG. 2 in accordance with the present invention;
FIG. 8 is a graph showing the visual analysis of the acid sweetness of the cranberry slice of FIG. 2 in accordance with the present invention;
FIG. 9 is a visual analysis of the softness and hardness of cranberry slices of FIG. 2 in accordance with the present invention;
fig. 10 is a visual analysis of the water content of the cranberry slice of fig. 2 in accordance with the present invention.
The specific implementation mode is as follows:
the following will clearly and completely describe the technical solutions 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 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.
The visual analysis system for the cranberry slice quality identification comprises an original data storage module, a chart generation program module, a chart software program module, an independent brand cranberry slice quality identification type and value recording module and a cranberry slice quality identification visual analysis chart display module;
the automatic research and development brand cranberry slice quality identification type and the numerical value input module thereof are associated with the original data storage module and can call data stored in the original data storage module, the data is called and input to the chart generation program module, a graph and a color are selected in the chart software program module, and the cranberry slice quality identification visual analysis chart is displayed through the cranberry slice quality identification visual analysis chart display module.
Raw data storage module creation: collecting and storing the quality identification type parameters of cranberry brand cranberry slices with known degrees in the world at present, wherein the quality identification types comprise the average values of fullness, color and luster degree, uniformity, glossiness, fragrance, acid sweetness, hardness and moisture.
The chart generator module creates: the cross axis is a cranberry brand cranberry slice with popularity in the world and an autonomously developed brand cranberry slice; the vertical axis is the value of one of the identification categories.
The cranberry slice quality identification visual analysis system is characterized in that: the chart software program module creates: including progressive bar, line, color-changing, single-series, 3D, stacked and percent histograms and colors.
The cranberry slice quality identification visual analysis system is characterized in that: the automatic research and development brand cranberry slice identification type and numerical value recording module comprises: inputting one of the measured average data of the category fullness, the color degree, the evenness, the glossiness, the fragrance, the acid-sweetness, the hardness and the moisture of the brand identity of the independent research and development.
The use method of the cranberry slice quality visual analysis system comprises the following steps:
step one, obtaining identification data: measuring average data of the sample identification category fullness, the color degree, the uniformity, the glossiness, the fragrance, the acid-sweetness, the hardness and the moisture of the autonomously developed brand cranberry slices by an experimental instrument;
step two, selecting any kind of identification kind and numerical value thereof in the step one according to requirements, and inputting the identification kind and numerical value thereof into an independent research and development brand cranberry slice identification kind and numerical value input module;
thirdly, calling out a numerical value of a longitudinal axis requirement from the original data storage module by the chart generation program module, namely calling out a quality control parameter of the cranberry brand cranberry slice with the same quality control category in the second step and having a popularity in the current world;
selecting and confirming the required graphs and colors in the chart software program module; of course, font selection, thickness selection and the like can be added in the actual setting process;
and step five, displaying the cranberry slice quality identification visual analysis diagram by the cranberry slice quality identification visual analysis diagram display module.
The invention is applied to the special market research and analysis of cranberry slices, can be used for raisins and other dried fruits and food of the same type, can greatly improve the research efficiency, has clear analysis results, and has huge market value and commercial value.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (6)

1. A visual analysis system for cranberry slice quality identification comprises an original data storage module, a chart generation program module, a chart software program module, an independent brand cranberry slice quality identification type and value recording module and a cranberry slice quality identification visual analysis chart display module;
the automatic research and development brand cranberry slice quality identification type and the numerical value input module thereof are associated with the original data storage module and can call data stored in the original data storage module, the data is called and input to the chart generation program module, a graph and a color are selected in the chart software program module, and the cranberry slice quality identification visual analysis chart is displayed through the cranberry slice quality identification visual analysis chart display module.
2. The cranberry slice quality control visual analysis system of claim 1, wherein: the original data storage module is created as follows: collecting and storing identification category parameters of cranberry brand cranberry slices with known degrees worldwide, wherein the identification categories comprise fullness, color degree, uniformity, glossiness, fragrance, acid sweetness, hardness and moisture average values.
3. The cranberry slice quality control visual analysis system of claim 1, wherein: the chart generation program module creates: the cross axis is a cranberry brand cranberry slice with popularity in the world and an autonomously developed brand cranberry slice; the vertical axis is the value of one of the identification categories.
4. The cranberry slice quality control visual analysis system of claim 1, wherein: the chart software program module creates: including progressive bar, line, color-changing, single-series, 3D, stacked and percent histograms and colors.
5. The cranberry slice quality control visual analysis system of claim 1, wherein: the automatic research and development brand cranberry slice identification type and numerical value recording module comprises: inputting one of the measured average data of the category fullness, the color degree, the evenness, the glossiness, the fragrance, the acid-sweetness, the hardness and the moisture of the brand identity of the independent research and development.
6. A method of using the cranberry slice identification visual analysis system of claim 1, comprising the steps of:
step one, obtaining identification data: measuring average data of the sample identification category fullness, the color degree, the uniformity, the glossiness, the fragrance, the acid-sweetness, the hardness and the moisture of the autonomously developed brand cranberry slices by an experimental instrument;
step two, selecting any kind of identification kind and numerical value thereof in the step one according to requirements, and inputting the identification kind and numerical value thereof into an independent research and development brand cranberry slice identification kind and numerical value input module;
thirdly, calling out a numerical value of a longitudinal axis requirement from the original data storage module by the chart generation program module, namely calling out a quality control parameter of the cranberry brand cranberry slice with the popularity in the world of the same quality control category in the second step;
selecting and confirming the required graphs and colors in the chart software program module;
and step five, displaying the cranberry slice quality identification visual analysis diagram by the cranberry slice quality identification visual analysis diagram display module.
CN202010883114.0A 2020-08-28 2020-08-28 Visual analysis system for cranberry slice quality identification and use method Pending CN112016966A (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109241510A (en) * 2018-08-22 2019-01-18 四川长虹电器股份有限公司 A kind of autochart generation system and its implementation based on wechat small routine
CN111444230A (en) * 2019-01-17 2020-07-24 苏州黑牛新媒体有限公司 Data visualization analysis method based on big data platform

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109241510A (en) * 2018-08-22 2019-01-18 四川长虹电器股份有限公司 A kind of autochart generation system and its implementation based on wechat small routine
CN111444230A (en) * 2019-01-17 2020-07-24 苏州黑牛新媒体有限公司 Data visualization analysis method based on big data platform

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄萍等: "雪菜中粗纤维含量的测定", 《吉林农业科学》 *

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Application publication date: 20201201