CN108319164A - Crop growth environment is predicted and regulation and control method - Google Patents
Crop growth environment is predicted and regulation and control method Download PDFInfo
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- CN108319164A CN108319164A CN201711487238.1A CN201711487238A CN108319164A CN 108319164 A CN108319164 A CN 108319164A CN 201711487238 A CN201711487238 A CN 201711487238A CN 108319164 A CN108319164 A CN 108319164A
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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
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Abstract
The present invention provides a kind of prediction of crop growth environment and regulation and control method, crop growth environment prediction and regulation and control method following steps：(A1) the production environment parameter of crop is acquired in advance, and establishes basic database model；(A2) the production environment data of sensor acquisition crop, and data are converged into gateway；The production environment data include the production environment parameter of crop, image；(A3) data are uploaded to data middleware module by the gateway；(A4) the data middleware module after encoding and decoding by being stored in data in message queue and database；(A5) database is according to data described in category label；Data upload cloud platform in message queue；(A6) cloud platform cleans the data received, and exports result using the basic database model；The difference for obtaining the output result and crop production information, the basic database model is adjusted according to the difference, to obtain crop growth environment prediction and regulation-control model.The present invention has many advantages, such as that model is accurate.
Description
Technical field
The present invention relates to crop monitorings, more particularly to crop growth environment prediction and regulation and control method.
Background technology
In canopy in plant growth, many large-scale and many proving grounds in present China all have begun using agriculture Internet of Things
The growth data acquisition of net and remote monitoring and remote control, but the data that sensor acquisition comes up in practice do not have
Really used, remote control also it is most of be it is artificial manually control environment in canopy, there are no the real of science
A crop optimum growh environment, and the one of regulation and control growing environment are predicted according to the different stages of growth of Different Crop and crop
Kind of method now needs a kind of to carry out regulation and control formation according to gathered data and growing environment according to Different Crop different stages of growth
A kind of method of crop optimum growh environment reaches growth yield, improves economic value and benefit.
Invention content
In order to solve the deficiency in above-mentioned prior art, the present invention provides a kind of Optimal Growings that can obtain crop
Environmental parameter and the crop growth environment prediction regulated and controled in time and regulation and control method.
A kind of prediction of crop growth environment and regulation and control method walk below the crop growth environment prediction and regulation and control method
Suddenly：
(A1) the production environment parameter of crop is acquired in advance, and establishes basic database model；
(A2) the production environment data of sensor acquisition crop, and data are converged into gateway；The production environment data
Production environment parameter including crop, image；
(A3) data are uploaded to data middleware module by the gateway；
(A4) the data middleware module after encoding and decoding by being stored in data in message queue and database；
(A5) database is according to data described in category label；Data upload cloud platform in message queue；
(A6) cloud platform cleans the data received, and exports result using the basic database model；Described in acquisition
The difference for exporting result and crop production information adjusts the basic database model, to obtain crop according to the difference
Growing environment is predicted and regulation-control model.
According to above-mentioned crop growth environment prediction and regulation and control method, optionally, the crop growth environment prediction and tune
Prosecutor method further comprises the steps：
(A7) the Optimal Growing environmental parameter of the crop is obtained using crop growth environment prediction and regulation-control model；
(A8) by the Optimal Growing environmental parameter of the growing environment parameter adjustment of crop to the crop.
According to above-mentioned crop growth environment prediction and regulation and control method, optionally, in step (A2), data input module
By crop production information, the crop production converging information to the gateway.
According to above-mentioned crop growth environment prediction and regulation and control method, optionally, the crop production information includes crop
Grow planting information, input, the meeting of farming operations record, crop yield information or economic benefit.
According to above-mentioned crop growth environment prediction and regulation and control method, optionally, described image is sent to cloud platform
HDFS file servers, and index is established, image data and the growing environment parameter of crop are corresponded.
According to above-mentioned crop growth environment prediction and regulation and control method, optionally, the sensor includes aerial temperature and humidity
Sensor, intensity of illumination sensor, soil temperature sensor, soil humidity sensor, ammonia concentration sensor, carbon dioxide are dense
Spend sensor, air velocity transducer, wind transducer, imaging sensor.
According to above-mentioned crop growth environment prediction and regulation and control method, optionally, database module includes that Redis data are slow
Storing module.
According to above-mentioned crop growth environment prediction and regulation and control method, optionally, simultaneously using file storage image when distribution
Index is established, index file is written in data file, then stores image data into distributed file system HDFS；It adopts
Search space is carried out piecemeal, and by image data and adopted by the retrieval that index data is realized with MapReduce parallel programming models
The growing environment parameter of collection corresponds.
According to above-mentioned crop growth environment prediction and regulation and control method, it is preferable that described image is crop in sensitive wave length
Crop image under irradiation.
According to above-mentioned crop growth environment prediction and regulation and control method, optionally, in step (A6), the cloud platform is sentenced
Whether the data after disconnected cleaning exceed threshold value, such as exceed, then utilize the environmental parameter of equipment adjustment crop so that environmental parameter is not
Beyond threshold value.
Compared with prior art, the device have the advantages that being：
The present invention uses distributed deployment, and good compatibility, performance is high, ultimately form it is a kind of using wireless network come measure with
Volume increase can be reached, change for the method that plantation control accurate provides science in canopy by regulating and controlling the best suitable growing environment of crop
Kind quality improves farmer's economic benefit, it is often more important that promote traditional agriculture to agricultural modernization transition and upgrade.
Description of the drawings
With reference to attached drawing, the disclosure will be easier to understand.Skilled addressee readily understands that be：This
A little attached drawings are used only for the technical solution illustrated the present invention, and are not intended to and are construed as limiting to protection scope of the present invention.
In figure：
Fig. 1 is the flow chart of crop growth environment prediction and regulation and control method according to the ... of the embodiment of the present invention.
Specific implementation mode
Fig. 1 and following description describe the present invention optional embodiment with instruct those skilled in the art how to implement and
Reproduce the present invention.In order to instruct technical solution of the present invention, some conventional aspects are simplified or have been omitted.Those skilled in the art answer
The understanding is originated from the modification of these embodiments or replacement will within the scope of the invention.Under those skilled in the art should understand that
Stating feature can combine in various ways to form multiple modifications of the present invention.The invention is not limited in following optional as a result,
Embodiment, and be only limited by the claims and their equivalents.
Embodiment：
Fig. 1 schematically illustrates the flow of crop growth environment prediction and regulation and control method in the canopy of the embodiment of the present invention
Figure, as shown in Figure 1, crop growth environment prediction and regulation and control method include the following steps：
(A1) the production environment parameter of crop is acquired in advance, and establishes basic database model；The production environment parameter
Environmental parameter including different regions, the crop of different time, different stages of growth, such as aerial temperature and humidity, intensity of illumination, soil
Temperature, soil moisture, ammonia concentration, gas concentration lwevel, wind speed and wind direction etc.；
(A2) the production environment data of sensor acquisition crop, and data are converged to by net by Zigbee ad hoc network modes
It closes；The production environment data include the production environment parameter of crop, image；Production environment parameter includes aerial temperature and humidity, light
According to intensity, the soil moisture, soil moisture, ammonia concentration, gas concentration lwevel, wind speed and wind direction etc.；Described image is that crop exists
Crop image under sensitive wave length irradiation, makes crop image under the premise of comprising crop growing state information, has minimal amount of letter
Breath；
Data input module is by crop production information, the crop production converging information to the gateway；The crop life
Production information includes plant growth planting information, input, the meeting of farming operations record, crop yield information or economic benefit；
(A3) data are uploaded to data middleware module by the gateway by Modbus TCP, IP modes；
(A4) the data middleware module middleware module carries out data parsing according to proprietary protocol and verification determines number
According to accuracy and safety, and by the way that data are stored in message queue and database after encoding and decoding；
(A5) database is according to data described in category label：According to the data of acquisition according to different zones, base plantation
Crop, time, corresponding data value carry out corresponding label；Database module includes Redis data cache modules, and Redis is slow
Storing module mainly caches pending gathered data, meets the requirement of processing analysis in real time, and Mysql database modules are protected
Deposit the data such as the former data for acquiring and corresponding farming operations；
Data upload cloud platform in message queue；
(A6) cloud platform cleans the data received, with removal mistake or inconsistent data, and utilizes the basis
Database model exports result；The difference for obtaining the output result and crop production information, according to difference adjustment
Basic database model, to obtain crop growth environment prediction and regulation-control model；
Described image is sent to the HDFS file servers of cloud platform, and establishes index, by image data and crop
Growing environment parameter corresponds, specially：Using file storage image when distribution and index is established, number is written into index file
According in file, then image data is stored into distributed file system HDFS；It is real using MapReduce parallel programming models
Search space is carried out piecemeal, and image data and the growing environment parameter of acquisition is corresponded by the retrieval of existing index data；
The cloud platform judges whether the data after cleaning exceed threshold value, such as exceeds, then utilizes the ring of equipment adjustment crop
Border parameter so that environmental parameter is without departing from threshold value；
(A7) the Optimal Growing environmental parameter of the crop is obtained using crop growth environment prediction and regulation-control model；
(A8) by the Optimal Growing environmental parameter of the growing environment parameter adjustment of crop to the crop.
The core of the technical program is：After data upload cloud platform, according to different acquisition environmental parameter, Different Crop,
Different stages of growth and in real time growth image progress data processing, analyze data using cloud computing technology, find in time
The problem and model library are compared, and carry out environment parameter control, constantly change model, verify model, continuous data
Accumulation ultimately forms big data system.
Claims (10)
1. a kind of crop growth environment prediction and regulation and control method, the crop growth environment prediction and regulation and control method following steps：
(A1) the production environment parameter of crop is acquired in advance, and establishes basic database model；
(A2) the production environment data of sensor acquisition crop, and data are converged into gateway；The production environment data include
The production environment parameter of crop, image；
(A3) data are uploaded to data middleware module by the gateway；
(A4) the data middleware module after encoding and decoding by being stored in data in message queue and database；
(A5) database is according to data described in category label；Data upload cloud platform in message queue；
(A6) cloud platform cleans the data received, and exports result using the basic database model；Obtain the output
As a result with the difference of crop production information, the basic database model is adjusted according to the difference, to obtain plant growth
Environmental forecasting and regulation-control model.
2. crop growth environment prediction according to claim 1 and regulation and control method, it is characterised in that：The plant growth ring
Border is predicted and regulation and control method further comprises the steps：
(A7) the Optimal Growing environmental parameter of the crop is obtained using crop growth environment prediction and regulation-control model；
(A8) by the Optimal Growing environmental parameter of the growing environment parameter adjustment of crop to the crop.
3. crop growth environment prediction according to claim 1 and regulation and control method, it is characterised in that：In step (A2),
Data input module is by crop production information, the crop production converging information to the gateway.
4. crop growth environment prediction according to claim 3 and regulation and control method, it is characterised in that：The crop production letter
Breath includes plant growth planting information, input, the meeting of farming operations record, crop yield information or economic benefit.
5. crop growth environment prediction according to claim 1 and regulation and control method, it is characterised in that：Described image is transmitted
To the HDFS file servers of cloud platform, and index is established, image data and the growing environment parameter of crop are corresponded.
6. crop growth environment prediction according to claim 1 and regulation and control method, it is characterised in that：The sensor includes
Aerial temperature and humidity sensor, intensity of illumination sensor, soil temperature sensor, soil humidity sensor, ammonia concentration sensor,
Gas concentration lwevel sensor, air velocity transducer, wind transducer, imaging sensor.
7. crop growth environment prediction according to claim 1 and regulation and control method, it is characterised in that：Database module includes
Redis data cache modules.
8. crop growth environment prediction according to claim 5 and regulation and control method, it is characterised in that：Using file when distribution
Storage image simultaneously establishes index, and index file is written in data file, is then stored image data to distributed field system
In system HDFS；Search space is carried out piecemeal by the retrieval that index data is realized using MapReduce parallel programming models, and will
Image data and the growing environment parameter of acquisition correspond.
9. crop growth environment prediction according to claim 1 and regulation and control method, it is characterised in that：Described image is crop
Crop image under sensitive wave length irradiation.
10. crop growth environment prediction according to claim 1 and regulation and control method, it is characterised in that：In step (A6),
The cloud platform judges whether the data after cleaning exceed threshold value, such as exceeds, then utilizes the environmental parameter of equipment adjustment crop, make
Environmental parameter is obtained without departing from threshold value.
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| CN110800516A (en) * | 2019-10-29 | 2020-02-18 | 厦门迈信物联科技股份有限公司 | Plant growth microclimate model establishing method |
| CN111523215A (en) * | 2020-04-15 | 2020-08-11 | 江苏科恒环境科技有限公司 | Information analysis, judgment and storage method |
| CN111765919A (en) * | 2020-06-10 | 2020-10-13 | 中南大学 | Monitoring and predicting system and method for slope vegetation growth environment |
| CN116797601A (en) * | 2023-08-24 | 2023-09-22 | 西南林业大学 | Image recognition-based Huashansong growth dynamic monitoring method and system |
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| CN111765919A (en) * | 2020-06-10 | 2020-10-13 | 中南大学 | Monitoring and predicting system and method for slope vegetation growth environment |
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| CN116797601A (en) * | 2023-08-24 | 2023-09-22 | 西南林业大学 | Image recognition-based Huashansong growth dynamic monitoring method and system |
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Application publication date: 20180724 |