CN110597881A - Beer brewing and selling method and system based on Internet of things - Google Patents
Beer brewing and selling method and system based on Internet of things Download PDFInfo
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- 235000013405 beer Nutrition 0.000 title claims abstract description 173
- 238000000034 method Methods 0.000 title claims abstract description 21
- 235000019640 taste Nutrition 0.000 claims abstract description 55
- 239000002994 raw material Substances 0.000 claims description 39
- 238000013124 brewing process Methods 0.000 claims description 20
- 238000000855 fermentation Methods 0.000 claims description 9
- 230000004151 fermentation Effects 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000007418 data mining Methods 0.000 claims description 8
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 239000004615 ingredient Substances 0.000 claims 2
- 238000003306 harvesting Methods 0.000 claims 1
- 230000002349 favourable effect Effects 0.000 abstract description 3
- 230000006855 networking Effects 0.000 abstract 1
- GXCLVBGFBYZDAG-UHFFFAOYSA-N N-[2-(1H-indol-3-yl)ethyl]-N-methylprop-2-en-1-amine Chemical compound CN(CCC1=CNC2=C1C=CC=C2)CC=C GXCLVBGFBYZDAG-UHFFFAOYSA-N 0.000 description 10
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 6
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 6
- 240000004808 Saccharomyces cerevisiae Species 0.000 description 6
- 239000007787 solid Substances 0.000 description 6
- 238000009835 boiling Methods 0.000 description 4
- 230000001419 dependent effect Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 2
- 229920002472 Starch Polymers 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000001035 drying Methods 0.000 description 2
- 239000008103 glucose Substances 0.000 description 2
- 238000012417 linear regression Methods 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000003801 milling Methods 0.000 description 2
- 238000005507 spraying Methods 0.000 description 2
- 235000019698 starch Nutrition 0.000 description 2
- 239000008107 starch Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 235000013334 alcoholic beverage Nutrition 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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Abstract
The invention discloses a beer brewing and selling method and system based on the Internet of things, and relates to the technical field of application of the Internet of things; carry out beer brewing and sell through automated control based on the thing networking, contained a whole set of beer brewing system, made things convenient for the making of different taste beers, reduced the cost of making and the cost of transportation of beer, made things convenient for selling of beer, improved the brewing efficiency of beer. The problem of current beer can't select to brew the taste and can't independently select in the mode of selling is solved to be favorable to improving the generation efficiency, reduce wrong emergence.
Description
Technical Field
The invention discloses a beer brewing and selling method and system based on the Internet of things, and relates to the technical field of application of the Internet of things.
Background
The beer has a long history, enjoys a high reputation in the world and is a great deal of sales, and is an alcoholic beverage which is deeply loved by the people in the world. The beer is not introduced into China for a long time, but is short for decades, but the development is very rapid, because Chinese people increasingly love the beer, the yield of Asian beer exceeds Europe, but because the manufacturing industry of Chinese beer still falls behind and is strong in Europe and America, the beer industry at present still uses huge development potential, and because of the transportation problem, the cost of beer and original pulp beer is higher, and the selectable beer tastes less.
The invention provides a beer brewing and selling method and system based on the Internet of things, wherein the beer brewing and selling are carried out through automatic control based on the Internet of things, and the beer brewing system comprises a whole set of beer brewing system, so that the brewing of beer with different tastes is facilitated, the brewing cost and the transportation cost of the beer are reduced, the beer is conveniently sold, and the brewing efficiency of the beer is improved. The problem of current beer can't select to brew the taste and can't independently select in the mode of selling is solved to be favorable to improving the generation efficiency, reduce wrong emergence.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a beer brewing and selling method and system based on the Internet of things, which can reduce the brewing cost and the transportation cost of beer, facilitate the beer selling and improve the brewing efficiency of beer.
The specific scheme provided by the invention is as follows:
a beer brewing and selling system based on the Internet of things comprises a beer brewing supervision module, a beer raw material ratio analysis module and a beer selling module,
the beer brewing monitoring module is responsible for monitoring the beer brewing process through the Internet of things,
the beer selling module sells brewed beer through the Internet of things, meanwhile, beer selling information is sent to a background for data display and summarization,
the beer raw material ratio analysis module is responsible for carrying out data mining on the taste data generated by the beer raw material ratio collected through the Internet of things, analyzing and predicting the taste of beer generated by the beer raw material ratio, and feeding the taste data back to the beer brewing process.
In the system, a beer brewing supervision module obtains beer fermentation from beer brewing raw materials through the Internet of things to complete supervision.
In the system, a beer raw material ratio analysis module trains taste data generated by beer raw material ratio acquired by the Internet of things by using a neural network algorithm, establishes a taste regression model, and predicts the taste by using the taste regression model.
In the system, the beer selling module sends beer selling information to a background developed by a SpringBoot + Mybatis framework through the Internet of things, and a front-end framework of the background is developed by using AntDesign.
An Internet of things-based beer brewing and selling method monitors the beer brewing process through the Internet of things, sells brewed beer through the Internet of things, simultaneously sends beer selling information to a background for data display and summarization,
meanwhile, data mining is carried out on taste data generated by the beer raw material ratio acquired through the Internet of things, the taste of beer generated by the beer raw material ratio is analyzed and predicted, and the taste is fed back to the beer brewing process.
In the method, the beer fermentation completion obtained from the raw materials for brewing the beer is supervised through the Internet of things.
According to the method, the neural network algorithm is utilized to train taste data generated by beer raw material proportioning collected by the Internet of things, a taste regression model is established, and the taste is predicted by utilizing the taste regression model.
According to the method, beer selling information is sent to a background developed by a SpringBoot + Mybatis framework through the Internet of things, and a front-end framework of the background is developed by using AntDesign.
The invention has the advantages that:
the invention provides a beer brewing and selling method and system based on the Internet of things, wherein the beer brewing and selling are carried out through automatic control based on the Internet of things, and the beer brewing system comprises a whole set of beer brewing system, so that the brewing of beer with different tastes is facilitated, the brewing cost and the transportation cost of the beer are reduced, the beer is conveniently sold, and the brewing efficiency of the beer is improved. The problem of current beer can't select to brew the taste and can't independently select in the mode of selling is solved to be favorable to improving the generation efficiency, reduce wrong emergence.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention.
FIG. 2 is a schematic diagram of the operation of the system of the present invention.
Detailed Description
The invention provides a beer brewing and selling system based on the Internet of things, which comprises a beer brewing supervision module, a beer raw material ratio analysis module and a beer selling module,
the beer brewing monitoring module is responsible for monitoring the beer brewing process through the Internet of things,
the beer selling module sells brewed beer through the Internet of things, meanwhile, beer selling information is sent to a background for data display and summarization,
the beer raw material ratio analysis module is responsible for carrying out data mining on the taste data generated by the beer raw material ratio collected through the Internet of things, analyzing and predicting the taste of beer generated by the beer raw material ratio, and feeding the taste data back to the beer brewing process.
Meanwhile, the system provides a beer brewing and selling method based on the Internet of things, which is corresponding to the system, monitors the beer brewing process through the Internet of things,
the brewed beer is sold through the Internet of things, meanwhile, the beer selling information is sent to a background for data display and summarization,
meanwhile, data mining is carried out on taste data generated by the beer raw material ratio acquired through the Internet of things, the taste of beer generated by the beer raw material ratio is analyzed and predicted, and the taste is fed back to the beer brewing process.
In the method, the beer fermentation completion obtained from the raw materials for brewing the beer is supervised through the Internet of things.
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
By utilizing the method, the beer brewing process is supervised through the Internet of things, the steps of preparing mash for beer brewing and converting starch in malt into fermentable sugar are mainly supervised: for example, crushing malt with paired rollers, milling kernels, feeding the milled kernels into a malt mash filter barrel through a feeding pipe, spraying hot water to the incoming kernels by using a hydrator to avoid a drying zone in the malt mash, boiling the malt mash to obtain boiled wort after boiling, separating solids, separating all solids from the liquid before the wort enters the next link, and leaving the solids in the pot when the wort is discharged; the wort is cooled to a temperature suitable for the yeast, so that the yeast is added immediately and the fermentation is started; during fermentation, the yeast converts the glucose in the wort into ethanol and carbon dioxide gas, and simultaneously increases the alcohol content and the carbonic acid saturation degree of the beer;
the obtained beer is sold through the Internet of things, beer selling information is sent to a background for data display and summarization,
meanwhile, data mining is carried out on taste data generated by the beer raw material ratio acquired through the Internet of things, the taste of beer generated by the beer raw material ratio is analyzed and predicted, and the taste is fed back to the beer brewing process.
In the process, the neural network algorithm is utilized to train taste data generated by the beer raw material ratio acquired by the Internet of things, a taste regression model is established, the ratio of the raw materials is used as an independent variable, different raw materials are provided with different weights, so that the beer taste under the formula is predicted to be in accordance with expectation if a dependent variable obtained through a linear regression equation is within a certain range, beer brewing according to the ratio is not recommended if the calculated dependent variable exceeds the expected range, the taste and the concentration of the predicted beer can be displayed, and the generated data can be displayed in a visualized manner and fed back to the beer brewing process;
according to the feedback, the brewing production can be further optimized in the beer brewing process, the produced beer is sold through the Internet of things, the beer selling information is sent to the background developed by the SpringBoot + Mybatis framework, the front end framework of the background is developed by using AntDesign, and the data can be stored by adopting Mysq l.
When the system is utilized, the beer brewing monitoring module monitors the beer brewing process through the Internet of things, and mainly monitors the steps of preparing mash for beer brewing and converting starch in malt into fermentable sugar: for example, crushing malt with paired rollers, milling kernels, feeding the milled kernels into a malt mash filter barrel through a feeding pipe, spraying hot water to the incoming kernels by using a hydrator to avoid a drying zone in the malt mash, boiling the malt mash to obtain boiled wort after boiling, separating solids, separating all solids from the liquid before the wort enters the next link, and leaving the solids in the pot when the wort is discharged; the wort is cooled to a temperature suitable for the yeast, so that the yeast is added immediately and the fermentation is started; during fermentation, the yeast converts the glucose in the wort into ethanol and carbon dioxide gas, and simultaneously increases the alcohol content and the carbonic acid saturation degree of the beer;
the beer selling module sells brewed beer through the Internet of things, and simultaneously sends beer selling information to a background for data display and summarization,
the beer raw material ratio analysis module simultaneously carries out data mining through the data of the taste generated by the beer raw material ratio collected by the Internet of things, analyzes and predicts the beer taste generated by the beer raw material ratio, and feeds the beer taste back to the beer brewing process.
In the process, a beer raw material ratio analysis module trains taste data generated by beer raw material ratios acquired by the Internet of things by using a neural network algorithm, a taste regression model is established, the ratios of the raw materials are used as independent variables, different raw materials are provided with different weights, so that if a dependent variable obtained by a linear regression equation is in a certain range, the taste of beer in the formula is predicted to be in accordance with expectation, if the calculated dependent variable exceeds the expectation range, beer brewing according to the ratio is not recommended, the taste and the concentration of the predicted beer can be displayed, and the generated data can be displayed in a visualized manner and fed back to the beer brewing process;
the beer brewing monitoring module monitors the beer brewing process and further optimizes brewing production according to feedback, the beer selling module sells produced beer through the Internet of things and sends beer selling information to a background developed by a SpringBoot + Mybatis framework, a front end framework of the background is developed by using AntDesign, and data can be stored by adopting Mysq l.
The above-mentioned embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (8)
1. A beer brewing and selling system based on the Internet of things is characterized by comprising a beer brewing supervision module, a beer raw material ratio analysis module and a beer selling module,
the beer brewing monitoring module is responsible for monitoring the beer brewing process through the Internet of things,
the beer selling module sells brewed beer through the Internet of things, meanwhile, beer selling information is sent to a background for data display and summarization,
the beer raw material ratio analysis module is responsible for carrying out data mining on the taste data generated by the beer raw material ratio collected through the Internet of things, analyzing and predicting the taste of beer generated by the beer raw material ratio, and feeding the taste data back to the beer brewing process.
2. The system of claim 1, wherein the beer brewing supervision module supervises beer fermentation completion from the raw material harvest for beer brewing through the internet of things.
3. The system of claim 1 or 2, wherein the beer ingredient ratio analysis module trains taste data generated by the beer ingredient ratio collected by the internet of things by using a neural network algorithm, establishes a taste regression model, and predicts the taste by using the taste regression model.
4. The system of claim 3, wherein the beer vending module sends beer vending information to a back office of the SpringBoot + Mybatis framework development via the internet of things, the front office framework being developed using the AntDesign.
5. A beer brewing and selling method based on the Internet of things is characterized in that the beer brewing process is supervised through the Internet of things,
the brewed beer is sold through the Internet of things, meanwhile, the beer selling information is sent to a background for data display and summarization,
meanwhile, data mining is carried out on taste data generated by the beer raw material ratio acquired through the Internet of things, the taste of beer generated by the beer raw material ratio is analyzed and predicted, and the taste is fed back to the beer brewing process.
6. The method of claim 5, wherein the monitoring is performed from the obtainment of the raw material for beer brewing to the completion of beer fermentation through the internet of things.
7. The method as claimed in claim 5 or 6, wherein the neural network algorithm is used for training the taste data generated by the beer raw material ratio collected by the internet of things, a taste regression model is established, and the taste is predicted by using the taste regression model.
8. The method of claim 7, wherein the beer vending information is sent to a back-end of the SpringBoot + Mybatis framework development via the internet of things, and a front-end of the back-end is developed using the AntDesign.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112989090A (en) * | 2021-03-22 | 2021-06-18 | 贵州省草业研究所 | Intelligent acquisition method and device for cattle and sheep fermented feed production and processing data |
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| CN102779318A (en) * | 2012-07-03 | 2012-11-14 | 北京邮电大学 | System and method used for white wine cellaring management and based on technology of internet of things |
| CN106167748A (en) * | 2016-09-10 | 2016-11-30 | 江苏云酿智能科技有限公司 | A kind of Internet of Things intelligence beer brewing machine |
| US20180136020A1 (en) * | 2016-11-15 | 2018-05-17 | Sapere Corporation | Wireless sensor for detection and measurement of properties in liquids over an internet-based network |
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| CN112989090A (en) * | 2021-03-22 | 2021-06-18 | 贵州省草业研究所 | Intelligent acquisition method and device for cattle and sheep fermented feed production and processing data |
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