CN108733013A - A kind of wine-growing management system based on big data analysis - Google Patents
A kind of wine-growing management system based on big data analysis Download PDFInfo
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- CN108733013A CN108733013A CN201810356207.0A CN201810356207A CN108733013A CN 108733013 A CN108733013 A CN 108733013A CN 201810356207 A CN201810356207 A CN 201810356207A CN 108733013 A CN108733013 A CN 108733013A
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- 238000007405 data analysis Methods 0.000 title claims abstract description 11
- 235000014787 Vitis vinifera Nutrition 0.000 claims abstract description 34
- 235000009754 Vitis X bourquina Nutrition 0.000 claims abstract description 23
- 235000012333 Vitis X labruscana Nutrition 0.000 claims abstract description 23
- 240000006365 Vitis vinifera Species 0.000 claims abstract description 12
- 238000004519 manufacturing process Methods 0.000 claims abstract description 3
- 238000003908 quality control method Methods 0.000 claims abstract description 3
- 238000009826 distribution Methods 0.000 claims description 27
- 241000219095 Vitis Species 0.000 claims description 22
- 239000002689 soil Substances 0.000 claims description 11
- 238000005286 illumination Methods 0.000 claims description 10
- 238000003306 harvesting Methods 0.000 claims description 9
- 240000000560 Citrus x paradisi Species 0.000 claims description 7
- 235000013399 edible fruits Nutrition 0.000 claims description 6
- 230000035558 fertility Effects 0.000 claims description 6
- 230000005855 radiation Effects 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000003973 irrigation Methods 0.000 claims description 2
- 230000002262 irrigation Effects 0.000 claims description 2
- 238000007726 management method Methods 0.000 description 6
- 241000196324 Embryophyta Species 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 235000021028 berry Nutrition 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 239000003205 fragrance Substances 0.000 description 2
- 230000004345 fruit ripening Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 241000219094 Vitaceae Species 0.000 description 1
- 241001593968 Vitis palmata Species 0.000 description 1
- 235000019606 astringent taste Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 239000000796 flavoring agent Substances 0.000 description 1
- 235000019634 flavors Nutrition 0.000 description 1
- 235000015203 fruit juice Nutrition 0.000 description 1
- 235000021021 grapes Nutrition 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000011031 large-scale manufacturing process Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 230000029553 photosynthesis Effects 0.000 description 1
- 238000010672 photosynthesis Methods 0.000 description 1
- 235000012976 tarts Nutrition 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41845—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The present invention provides a kind of wine-growing management system based on big data analysis, at present for the experience of the yield and quality of the wine-growing person that relies primarily on Cultivate administration.When the quality and yield for grape there are certain requirements, in order to reach optimum point of production, it needs to provide quantifiable guidance program for Cultivate administration person, in order to solve the above problem, the system for designing the present invention includes mainly data acquisition module, data analysis module, expected volume quality control module, Managed Solution generation module.
Description
Technical field
The present invention designs application field, more particularly to a kind of wine-growing based on big data analysis manages system.
Background technology
In recent years, consumer spending level increasingly improves, and also gradually changes for the demand model of fruit, especially
For the demand of grape.The growth cycle of grape, in spring when temperature rise is to about 10 degree Celsius, growth cycle viny
It begins to.Sprouting, which sprouts then leaf, to be occurred, and then branch starts to grow.To 5, June, petal formation bloom with
And all latter stage carries out in the meantime for fertilising, a couple of days berry after being over of blooming is formed；This is the first stage of fruit growth.7,8
In growth period month viny, berry development has then arrived fructescence.The crust of red grape stains, and white grape is then
What is said or talked about green is lost；This is exactly the beginning of fructescence.After grape maturity, so that it may to start to harvest, the fruit maturation stage
It is characterized in that the sugar in fruit juice increases, acidity reduces, and according to the different different individual fragrance of fragrance kind of formation
It is formed.Terminate usually to take 90 to 100 days from blooming to fruit maturation, be fallen to last years in autumn, vine both enters rest period.For
The plantation of large area grape, yield prediction often according to plantation Cultivate administration person experience, final result often have compared with
Big deviation, while various uncontrollable factors often also cause final grape fruit yield to be greatly affected greatly.It is existing simultaneously
Grape large-scale production is not only aqueous degree and sour-sweet degree of the industries such as the demand, such as wine brewing of meet volume to grape
There are certain requirement, and the grape product needed, in order to obtain maximum revenue, Cultivate administration person is badly in need of one kind can be with precise volume
The wine-growing for changing control manages system.In view of the above problems of the prior art, the application uses following technical scheme.
Invention content
In order to solve the above technical problems, the present invention provides a kind of wine-growing management system based on big data analysis.
The invention is realized by the following technical scheme：
A kind of wine-growing management system based on big data analysis, it is characterised in that including：Data acquisition module, data
Analysis module, expected volume quality control module, Managed Solution generation module.
Data between each module are interrelated, and the outcome data of each step is all as the calculation basis of next step.
The data that data acquisition module is acquired include in satellite data, unmanned plane gathered data and wine-growing garden
Temperature-humidity sensor data.
Data analysis module forms the visual image of entire plantation garden according to each item data acquired, specific to wrap
Include temperature profile, moisture distribution chart, intensity of illumination distribution map, grapevine seedling Map of Distributions of Types, the grapevine seedling leaf in each region
Facial index distribution map, sun photosynthetically active radiation distribution map, Growth of Grape period profile figure, soil fertility distribution map.
Each index distribution map of the expected volume control module obtained by analysis module can quantify to be in each growth cycle
The quantity of grapevine seedling accurate vintage prediction can be carried out, while can be according to harvest fruit by the incremental data
Real quality requirements are reached by the control of the conditions such as harvest time and illumination, soil, moisture, temperature and are met harvest and want
The grape fruit quality asked.
In order to reach expected grape quality and yield, Managed Solution generation module can be by expected yield and quality
Grape fruit yield is accurately distributed to each region, and the control of the conditions such as illumination, soil, moisture, temperature for generating each region
Conditional aspect specifically includes the light irradiation time in each region and the control on opportunity；Soil fertility controls；The control of irrigation frequency；Most
The control of good growth temperature.
The beneficial effects of the invention are as follows：
1, quantifiable Growth of Grape condition monitoring is carried out by data collection.
2, by the area visualization of a variety of data targets, accurate partition management has been achieved the purpose that.
3, Cultivate administration person can more accurately estimate the various grapes in each region in conjunction with existing wine-growing experience
The yield and quality of plant reaches benefited maximization.
4, after the harvest scheme for setting expected quality and quantity, system can provide various conditions for Cultivate administration person and set
The Cultivate administration of more advanced science is realized in the suggestion set.
Description of the drawings
The system architecture diagram of Fig. 1 present invention
The mass data in wine-growing region is collected by the equipment such as satellite and unmanned plane and sensor, forms entire kind
The visual image for planting garden, specifically includes temperature profile, moisture distribution chart, intensity of illumination distribution map, the grape in each region
Plant type distribution map, grapevine seedling leaf area index distribution map, sun photosynthetically active radiation distribution map, Growth of Grape period
Distribution map, soil fertility distribution map quantify the ambient conditions for observing each region convenient for Cultivate administration person, are selecting each kind
In the case of the yield and quality of grape, various growth conditions are rationally controlled, reach benefited maximization.
Specific implementation mode
Below in conjunction with specific implementation mode, the present invention is described in further detail, but embodiments of the present invention are not
It is limited to this：
Embodiment 1：
Present system is suitable for large-scale wine-growing garden, data acquisition module by satellite sensor to surface radiation and
The information of reflection electromagnetic wave is collected processing, and eventually forms satellite image, leaf area index, the sun in conjunction with grapevine seedling
The indexs such as photosynthetically active radiation can observe classification, growing way, photosynthesis power, soil water content of grapevine seedling etc., with
Previous crops observation only passes through artificial on-the-spot investigation difference, during carrying out large area wine-growing management, satellite number
According to having a clear superiority, reproducible degree is high, area coverage is big, and statistics is convenient, is taken in the case that in face of large area wine-growing
Price of being engaged in is low.In combination with the topographic map of satellite remote sensing detection, flight course planning can also be provided for the flight of unmanned plane, to more
Add accurate monitoring Growth of Grape state, obtain more detailed monitoring data, while data acquisition lane is connected to soon
Sensor, for obtaining the data such as temperature, humidity.
The data combining position information obtained is preserved, and analysis module can carry out the data with location information
Visualization processing specially draws the temperature profile in each region, moisture distribution chart, intensity of illumination distribution map, grapevine seedling class
Type distribution map, grapevine seedling leaf area index distribution map, sun photosynthetically active radiation distribution map, Growth of Grape period profile
Figure, soil fertility distribution map, wherein the various datagrams for each region can be split, combine.
Cultivate administration person, can be by the segmentation in region, the segmentation of grape variety when carrying out plant management, and selection is corresponding
The quality of the grape fruit of the corresponding kind in region, to which subregion carries out planting conditions control.Specifically such as intentionally get acidity
The high common fruit of the areas A first kind, then just control illumination and temperature when the grape in the areas A has just enter into the maturity period, reduces illumination, and by
Step starts to harvest fruit, ensure that grape does not have astringent taste, while having certain tart flavour, while can be with other specific demand tailored tubes
Reason scheme meets the grape fruit of demand convenient for volume production.
Claims (6)
1. a kind of wine-growing based on big data analysis manages system, it is characterised in that including：Data acquisition module, data point
Analyse module, expected volume quality control module, Managed Solution generation module.
2. the system as claimed in claim 1, which is characterized in that the data between each module are interrelated, the number of each step
According to achievement all as the calculation basis of next step.
3. the system as claimed in claim 1, which is characterized in that the data that data acquisition module is acquired include satellite data,
Temperature-humidity sensor data in unmanned plane gathered data and wine-growing garden.
4. system as described in claim 1, which is characterized in that data analysis module is formed whole according to each item data acquired
The visual image of a plantation garden, specifically include the temperature profile in each region, moisture distribution chart, intensity of illumination distribution map,
Grapevine seedling Map of Distributions of Types, grapevine seedling leaf area index distribution map, sun photosynthetically active radiation distribution map, Growth of Grape
Period profile figure, soil fertility distribution map.
5. system as described in claim 1, which is characterized in that each index of the expected volume control module obtained by analysis module
Distribution map, can quantify the quantity of the grapevine seedling in each growth cycle can carry out accurate Portugal by the incremental data
Grape production forecast, while harvest time and illumination, soil, moisture, temperature can be passed through according to the quality requirements of harvest fruit
The control of the conditions such as degree reaches and meets the grape fruit quality that harvest requires.
6. the system as claimed in claim 1, which is characterized in that in order to reach expected grape quality and yield, Managed Solution
Generation module can accurately distribute the grape fruit yield of expected yield and quality to each region, and generate each region
The control condition scheme of the conditions such as illumination, soil, moisture, temperature, specifically includes the light irradiation time in each region and the control on opportunity；
Soil fertility controls；The control of irrigation frequency；The control of optimum growth temp.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810356207.0A CN108733013A (en) | 2018-04-19 | 2018-04-19 | A kind of wine-growing management system based on big data analysis |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810356207.0A CN108733013A (en) | 2018-04-19 | 2018-04-19 | A kind of wine-growing management system based on big data analysis |
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| Publication Number | Publication Date |
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| CN108733013A true CN108733013A (en) | 2018-11-02 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201810356207.0A Withdrawn CN108733013A (en) | 2018-04-19 | 2018-04-19 | A kind of wine-growing management system based on big data analysis |
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| Country | Link |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114415764A (en) * | 2022-01-05 | 2022-04-29 | 六安市叶集区帮农农业发展有限公司 | Grape early-maturing culture system based on illumination analysis |
| CN116736914A (en) * | 2023-06-01 | 2023-09-12 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse system of berries class |
-
2018
- 2018-04-19 CN CN201810356207.0A patent/CN108733013A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114415764A (en) * | 2022-01-05 | 2022-04-29 | 六安市叶集区帮农农业发展有限公司 | Grape early-maturing culture system based on illumination analysis |
| CN116736914A (en) * | 2023-06-01 | 2023-09-12 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse system of berries class |
| CN116736914B (en) * | 2023-06-01 | 2024-02-02 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse system of berries class |
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Application publication date: 20181102 |
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