CN108563205A - A kind of crops wisdom implantation methods based on big data - Google Patents
A kind of crops wisdom implantation methods based on big data Download PDFInfo
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- CN108563205A CN108563205A CN201810336131.5A CN201810336131A CN108563205A CN 108563205 A CN108563205 A CN 108563205A CN 201810336131 A CN201810336131 A CN 201810336131A CN 108563205 A CN108563205 A CN 108563205A
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- data
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- wisdom
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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], 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], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- 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], computer integrated manufacturing [CIM]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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]
Abstract
The invention discloses a kind of crops wisdom implantation methods based on big data, include the following steps：(1) sensor for incuding planting environment parameter is set in planting site, perceives to obtain planting environment supplemental characteristic by sensor；(2) the planting environment supplemental characteristic that sensor perceives is delivered to data reader and carries out digital independent；(3) numberical range that planting environment parameter is under various states is prestored in data comparator, the data that data reader is read is converted into digital signal via analog-digital converter, and be delivered to data comparator and be compared analysis；(4) the comparative analysis result of data comparator is delivered to digital analog converter, analog signal is converted to via digital analog converter；(5) analog signal that digital analog converter is converted to is delivered to current divider and shunt control signal is sent to the control terminal that planting environment parameter regulates and controls.The present invention is based on big datas to carry out crops wisdom plantation, substantially increases plantation efficiency.
Description
Technical field
The invention belongs to agricultural plantation technology fields, and in particular to a kind of crops wisdom plantation side based on big data
Method.
Background technology
Big data refers to the data that can not be captured, managed and be handled with conventional software tool within certain time
Set is to need new tupe that could have stronger decision edge, see clearly magnanimity, the Gao Zeng for finding power and process optimization ability
Long rate and diversified information assets.
Agricultural is the growth-development law using animals and plants, and the industry of product is obtained by artificial culture.Existing agricultural
When plantation, the artificial planting environment that carries out is mostly used greatly and monitors control, needs to expend a lot of manpower and time, and cannot reach
The effect of real time monitoring, monitoring effect are poor.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of crops wisdom implantation methods based on big data, can be with
Planting environment is monitored in real time.
The technical scheme is that：A kind of crops wisdom implantation methods based on big data, include the following steps：
(1) sensor for incuding planting environment parameter is set in planting site, is perceived and is planted by sensor
Ambient parameter data；
(2) the planting environment supplemental characteristic that sensor perceives is delivered to data reader and carries out digital independent；
(3) numberical range that planting environment parameter is under various states is prestored in data comparator, by data
The data that reader is read are converted to digital signal via analog-digital converter, and are delivered to data comparator and are compared analysis；
(4) the comparative analysis result of data comparator is delivered to digital analog converter, mould is converted to via digital analog converter
Quasi- signal；
(5) analog signal that digital analog converter is converted to is delivered to what current divider regulated and controled planting environment parameter
Control terminal sends shunt control signal.
Multiple sensors can be set in the present invention, preferably, the sensor includes humidity sensor, temperature sensing
At least one of device, water level sensor, insect sensor noise and optical sensor.
In order to enable signal-stabilized transmission, preferably, the result of the digital analog converter and analog-digital converter conversion
Signal amplification is carried out by data amplifier.
Preferably, the control terminal includes air humidifier control terminal, hydraulic giant control terminal, fly-killing lamp control end
At least one of end and greenhouse control terminal.The present invention can according to the planting environment supplemental characteristic that sensor sensing arrives,
Regulate and control the operation of each terminal, such as when humidity is relatively low, air humidifier can be regulated and controled and humidified, to increase planting environment
Humidity.
Preferably, setting data storage, the perception that the sensor is stored by data storage obtains plantation ring
Border supplemental characteristic.The present invention is by data storage real-time storage data information, to track the experiment of plantation.
Preferably, being connect with current divider signal by mobile terminal, point of current divider is controlled by mobile terminal remote
The transmission of flow control signals.The present invention can also carry out remote control by mobile terminal, be controlled by mobile terminal remote each
A control terminal, operator need not be at planting site, you can carry out remote control.
Preferably, the mobile terminal is tablet or mobile phone.
Compared with prior art, beneficial effects of the present invention are embodied in：
The present invention can carry out real-time collection analysis by the planting environment parameter to planting site, regulate and control planting site in time
Environmental parameter is convenient for the growth of crops to realize effective plantation to crops, and the present invention is based on big datas to carry out crops
Wisdom plantation, substantially increase plantation efficiency.
Description of the drawings
Fig. 1 is the flow diagram in embodiment 1 in the present invention.
Fig. 2 is the flow diagram in embodiment 2 in the present invention.
Specific implementation mode
Embodiment 1
A kind of crops wisdom implantation methods based on big data, include the following steps：
(1) sensor 1 for incuding planting environment parameter is set in planting site, is perceived and is planted by sensor
Ambient parameter data, wherein sensor be humidity sensor, temperature sensor, water level sensor, insect sensor noise and
Optical sensor；
(2) the planting environment supplemental characteristic that sensor 1 perceives is delivered to data reader 2 and carries out digital independent；
(3) numberical range that planting environment parameter is under various states is prestored in data comparator 4, by data
The data that reader 2 is read are converted to digital signal via analog-digital converter 3, and are delivered to data comparator and are compared point
Analysis；
(4) the comparative analysis result of data comparator is delivered to digital analog converter 5, is converted to via digital analog converter 5
Analog signal；
(5) analog signal that digital analog converter is converted to current divider 6 is delivered to regulate and control planting environment parameter
Control terminal send shunt control signal, wherein control terminal 7 be air humidifier control terminal, hydraulic giant control terminal, go out
Fly lamp control terminal and greenhouse control terminal.
Embodiment 2
A kind of crops wisdom implantation methods based on big data, include the following steps：
(1) sensor 1 for incuding planting environment parameter is set in planting site, is perceived and is planted by sensor
Ambient parameter data, wherein sensor be humidity sensor, temperature sensor, water level sensor, insect sensor noise and
Optical sensor also sets up data storage 9 in the present embodiment, and the perception that the sensor is stored by data storage obtains
Planting environment supplemental characteristic.
(2) the planting environment supplemental characteristic that sensor 1 perceives is delivered to data reader 2 and carries out digital independent；
(3) numberical range that planting environment parameter is under various states is prestored in data comparator 4, by data
The data that reader is read are converted to digital signal via analog-digital converter, and are delivered to data comparator and are compared analysis；
(4) the comparative analysis result of data comparator 4 is delivered to digital analog converter 5, is converted to via digital analog converter 5
The result of analog signal, wherein digital analog converter and analog-digital converter conversion carries out signal amplification by data amplifier.
(5) analog signal that digital analog converter is converted to current divider 6 is delivered to regulate and control planting environment parameter
Control terminal send shunt control signal, wherein control terminal be air humidifier control terminal, hydraulic giant control terminal, fly eradication
Lamp control terminal and greenhouse control terminal, and connect with current divider signal by mobile terminal, pass through mobile terminal remote
Control the transmission of the shunt control signal of current divider.The present invention can also carry out remote control by mobile terminal 8, pass through movement
The each control terminal of terminal remote control, operator need not be at planting site, you can carry out remote control.
Claims (7)
1. a kind of crops wisdom implantation methods based on big data, which is characterized in that include the following steps：
(1) sensor for incuding planting environment parameter is set in planting site, perceives to obtain planting environment by sensor
Supplemental characteristic；
(2) the planting environment supplemental characteristic that sensor perceives is delivered to data reader and carries out digital independent；
(3) numberical range that planting environment parameter is under various states is prestored in data comparator, by digital independent
The data that device is read are converted to digital signal via analog-digital converter, and are delivered to data comparator and are compared analysis；
(4) the comparative analysis result of data comparator is delivered to digital analog converter, simulation letter is converted to via digital analog converter
Number；
(5) analog signal that digital analog converter is converted to is delivered to the control that current divider regulates and controls planting environment parameter
Terminal sends shunt control signal.
2. the crops wisdom implantation methods based on big data as described in claim 1, which is characterized in that the sensor packet
Include at least one of humidity sensor, temperature sensor, water level sensor, insect sensor noise and optical sensor.
3. the crops wisdom implantation methods based on big data as described in claim 1, which is characterized in that the digital-to-analogue conversion
Device and the result of analog-digital converter conversion carry out signal amplification by data amplifier.
4. the crops wisdom implantation methods based on big data as described in claim 1, which is characterized in that the control terminal
Including at least one in air humidifier control terminal, hydraulic giant control terminal, fly-killing lamp control terminal and greenhouse control terminal
Kind.
5. the crops wisdom implantation methods based on big data as described in claim 1, which is characterized in that setting data store
Device, the perception that the sensor is stored by data storage obtain planting environment supplemental characteristic.
6. the crops wisdom implantation methods based on big data as described in claim 1, which is characterized in that pass through mobile terminal
It is connect with current divider signal, the transmission of the shunt control signal of current divider is controlled by mobile terminal remote.
7. the crops wisdom implantation methods based on big data as claimed in claim 6, which is characterized in that the mobile terminal
For tablet or mobile phone.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810336131.5A CN108563205A (en) | 2018-04-16 | 2018-04-16 | A kind of crops wisdom implantation methods based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810336131.5A CN108563205A (en) | 2018-04-16 | 2018-04-16 | A kind of crops wisdom implantation methods based on big data |
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| CN108563205A true CN108563205A (en) | 2018-09-21 |
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| CN201810336131.5A Pending CN108563205A (en) | 2018-04-16 | 2018-04-16 | A kind of crops wisdom implantation methods based on big data |
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Citations (8)
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| CN104267699A (en) * | 2014-09-30 | 2015-01-07 | 常州机电职业技术学院 | Agricultural greenhouse intelligent control device based on Internet of Things and working method thereof |
| CN104686256A (en) * | 2015-03-31 | 2015-06-10 | 长沙辣湘缘农业科技有限公司 | Greenhouse environment control method and system |
| CN204613796U (en) * | 2015-05-20 | 2015-09-02 | 周口师范学院 | A kind of computer control system being applied to greenhouse vegetable plantation |
| CN204667158U (en) * | 2015-05-29 | 2015-09-23 | 青岛炎煌信息科技有限公司 | A kind of intelligent crop based on CPS cultivates Cultivate administration system |
| CN106097131A (en) * | 2016-06-23 | 2016-11-09 | 桂林电子科技大学 | Agriculturals based on big data precisely implantation methods |
| CN106331127A (en) * | 2016-08-30 | 2017-01-11 | 深圳前海弘稼科技有限公司 | Planting equipment and management method, device and system thereof and server |
| CN106444909A (en) * | 2016-10-31 | 2017-02-22 | 深圳前海弘稼科技有限公司 | Greenhouse environment regulation and control method and apparatus |
| CN206593694U (en) * | 2017-01-20 | 2017-10-27 | 厦门华厦学院 | A kind of Agricultural Environmental Monitoring system |
-
2018
- 2018-04-16 CN CN201810336131.5A patent/CN108563205A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104267699A (en) * | 2014-09-30 | 2015-01-07 | 常州机电职业技术学院 | Agricultural greenhouse intelligent control device based on Internet of Things and working method thereof |
| CN104686256A (en) * | 2015-03-31 | 2015-06-10 | 长沙辣湘缘农业科技有限公司 | Greenhouse environment control method and system |
| CN204613796U (en) * | 2015-05-20 | 2015-09-02 | 周口师范学院 | A kind of computer control system being applied to greenhouse vegetable plantation |
| CN204667158U (en) * | 2015-05-29 | 2015-09-23 | 青岛炎煌信息科技有限公司 | A kind of intelligent crop based on CPS cultivates Cultivate administration system |
| CN106097131A (en) * | 2016-06-23 | 2016-11-09 | 桂林电子科技大学 | Agriculturals based on big data precisely implantation methods |
| CN106331127A (en) * | 2016-08-30 | 2017-01-11 | 深圳前海弘稼科技有限公司 | Planting equipment and management method, device and system thereof and server |
| CN106444909A (en) * | 2016-10-31 | 2017-02-22 | 深圳前海弘稼科技有限公司 | Greenhouse environment regulation and control method and apparatus |
| CN206593694U (en) * | 2017-01-20 | 2017-10-27 | 厦门华厦学院 | A kind of Agricultural Environmental Monitoring system |
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Application publication date: 20180921 |