CN110244804A - A kind of big data agricultural management system and method - Google Patents
A kind of big data agricultural management system and method Download PDFInfo
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- CN110244804A CN110244804A CN201910516046.1A CN201910516046A CN110244804A CN 110244804 A CN110244804 A CN 110244804A CN 201910516046 A CN201910516046 A CN 201910516046A CN 110244804 A CN110244804 A CN 110244804A
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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
Abstract
The present invention relates to agricultural management technical fields, especially a kind of big data agricultural management system, including main control module, main control module is electrically connected with crops monitoring unit, weather monitoring unit, big data analysis unit, disaster alarm unit and administrative unit, crops monitoring unit includes data acquisition module, data acquisition module is electrically connected with soil moisture detection module, soil nutrient detection module, growth conditions detection module and carbon dioxide detection module, the output end of data acquisition module is electrically connected with data analysis module, data analysis module is electrically connected with evaluation module.The present invention so favorably estimates future crop plants market sales volume so that the future production to crops is predicted by the growth data model that the growth conditions and local weather condition of crops establish crops, favorably to the sale of crops.
Description
Technical field
The present invention relates to agricultural management technical field more particularly to a kind of big data agricultural management system and method.
Background technique
With the continuous development of China's agriculture field all our undertakings, range involved by agriculture big data technology is also increasingly
Extensively, the links of especially current rural activity constantly increase, and the data bulk generated is also more and more, therefore, close
It is also more and more in the related needs of analysis of agricultural data.Agriculture big data technology, which refers to, combines ground in agricultural data research
Domain property, seasonality, diversity, periodicity and crops self character data acquisition system, from a wealth of sources, the type of data
Multiplicity, structure is complicated, has potential value, but is also difficult with, and the agriculture big data technology in China is not also very mature at present,
Restrict agricultural and the economic development of other related fieldss.
Summary of the invention
The purpose of the present invention is to solve the disadvantage that cannot be applied to big data in agricultural exists in the prior art, and
A kind of big data agricultural management system proposed.
To achieve the goals above, present invention employs following technical solutions:
A kind of big data agricultural management system, including main control module are designed, the main control module is electrically connected with crops
Monitoring unit, weather monitoring unit, big data analysis unit, disaster alarm unit and administrative unit, the crops monitoring are single
Member includes data acquisition module, and the data acquisition module is electrically connected with soil moisture detection module, soil nutrient detection mould
Block, growth conditions detection module and carbon dioxide detection module, the soil moisture detection module is for detecting crop growth
The humidity of soil, the soil nutrient detection module is for detecting the nutritional ingredients such as the nitrogen, phosphorus, inorganic salts of crop growth soil
Content, the growth conditions detection module are used to detect the growth parameter(s)s such as the growing height, leaves density, sturdy degree of crops,
The carbon dioxide detection module is used to detect the concentration of the carbon dioxide of the growth district of crops, the data acquisition module
Output end be electrically connected with data analysis module, the data analysis module is electrically connected with evaluation module, the evaluation mould
Whether block is mainly normal according to the growth conditions of the crop growth data of acquisition evaluation and test crops and growing environment；
The weather monitoring unit includes data uploading module, and the input terminal of the data uploading module is electrically connected air
Humidity detecting module, temperature detecting module, wind intensity detection module and intensity of illumination detection module, the air humidity detection
Module is used to detect local real-time air humidity, and the temperature detecting module is for detecting local real-time temperature, the wind
For power intensity detection module for detecting local real-time wind intensity, the intensity of illumination detection module is local real-time for detecting
Intensity of illumination, the output end of the data uploading module is electrically connected with data transmission blocks, and the data transmission blocks are used
In sending main control module for meteorological data.
Preferably, the big data analysis unit includes data reception module, and the data reception module is electrically connected with
Data model establishes module, described to have data model to establish module mainly according to the growth conditions of crops and local meteorological feelings
Condition establishes the growth data model of crops, and the data model establishes module and is electrically connected with processing chip, the processing core
Piece is electrically connected with production forecast module, and the production forecast module is mainly according to the growth data model of crops to crops
Yield predicted.
Preferably, the processing chip is the chip of MT8382 model, is provided with reservoir in the processing chip, described
Processing chip wireless telecommunications are connected with database.
Preferably, the disaster alarm unit includes image capture module, Smoke Detection module and precipitation detection module,
Described image capture module is used to capture the quantity of pest on crops, and the Smoke Detection module is used to monitor the hair of fire
Raw, the precipitation detection module is used to monitor the rainfall on rainy day, avoids that flood, described image capture module, cigarette occurs
Mist detection module and precipitation detection module are electrically connected with signal receiver, and the signal receiver is electrically connected with miniature
Chip, the microchip are electrically connected with alarm device and remote computer, and the alarm device is mentioned for sounding an alarm to the condition of a disaster
Show.
Preferably, the administrative unit includes processor, the data reception module being electrically connected with processor and execution mould
Block, for the data reception module for receiving crop growth data and disaster data, the execution module is electrically connected with filling
Irrigate equipment, fertilizing equipment, pesticide dispersal equipment, fire-extinguishing apparatus and drainage equipment.
The present invention also provides a kind of big data agricultural management methods, include the following steps；
Step 1: corresponding soil moisture, soil nutrient, crop growth state are installed in the soil for growth of crops
With the detection device of carbon dioxide, and system is sent by real-time growth data by these equipment；
Step 2: system makes corresponding quantity according to the growth data of crops, if soil moisture is too low, need into
Row Irrigation regime；If soil nutrient is insufficient, need to carry out fertilizer treatment；
Step 3: corresponding weather monitoring device being installed in the soil for growth of crops, mainly to local real-time air
Humidity, temperature, wind intensity and intensity of illumination are detected；
Step 4: by the big data analysis of system, the growth data of crops and local meteorological data being generated into growth
Model, thus the yield to predict crops.
A kind of big data agricultural management system proposed by the present invention, beneficial effect are: the life that the present invention passes through crops
Long status and local weather condition establish the growth data model of crops, to carry out to the future production of crops pre-
It surveys, favorably future crop plants market sales volume is estimated in this way, favorably to the sale of crops.
Detailed description of the invention
Fig. 1 is a kind of system block diagram of big data agricultural management system proposed by the present invention；
Fig. 2 is a kind of system block diagram of the big data analysis unit of big data agricultural management system proposed by the present invention；
Fig. 3 is a kind of system block diagram of the disaster alarm unit of big data agricultural management system proposed by the present invention；
Fig. 4 is a kind of system block diagram of the administrative unit of big data agricultural management system proposed by the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Referring to Fig.1-4, a kind of big data agricultural management system, including main control module, main control module are electrically connected with farming
Object monitoring unit, weather monitoring unit, big data analysis unit, disaster alarm unit and administrative unit, crops monitoring unit
Including data acquisition module, data acquisition module is electrically connected with soil moisture detection module, soil nutrient detection module, growth
State detection module and carbon dioxide detection module, soil moisture detection module are used to detect the humidity of crop growth soil,
Soil nutrient detection module is for detecting the nutrient composition contents such as the nitrogen, phosphorus, inorganic salts of crop growth soil, growth conditions inspection
Growth parameter(s)s, the carbon dioxide detection modules such as growing height, leaves density, sturdy degree of the module for detecting crops is surveyed to be used for
The concentration of the carbon dioxide of the growth district of crops is detected, the output end of data acquisition module is electrically connected with data analysis mould
Block, data analysis module are electrically connected with evaluation module, and evaluation module mainly evaluates and tests agriculture according to the crop growth data of acquisition
Whether the growth conditions and growing environment of crop are normal；
Weather monitoring unit includes data uploading module, and the input terminal of data uploading module is electrically connected air humidity detection
Module, temperature detecting module, wind intensity detection module and intensity of illumination detection module, air humidity detection module is for detecting
Local real-time air humidity, temperature detecting module is for detecting local real-time temperature, and wind intensity detection module is for examining
Local real-time wind intensity is surveyed, intensity of illumination detection module is for detecting local real-time intensity of illumination, data uploading module
Output end be electrically connected with data transmission blocks, data transmission blocks are used to send main control module for meteorological data.
Big data analysis unit includes data reception module, and data reception module is electrically connected with data model and establishes mould
Block has data model to establish the growth that module mainly establishes crops according to the growth conditions of crops and local weather condition
Data model, data model establish module and are electrically connected with processing chip, and processing chip is the chip of MT8382 model, handle core
Reservoir is provided in piece, processing chip wireless telecommunications are connected with database, and processing chip is electrically connected with production forecast module,
Production forecast module mainly predicts the yield of crops according to the growth data model of crops, so favorably to future
Crops market sales volume is estimated, favorably to the sale of crops.
Disaster alarm unit includes image capture module, Smoke Detection module and precipitation detection module, picture catching mould
Block is used to capture the quantity of pest on crops, and Smoke Detection module is used to monitor the generation of fire, and precipitation detection module is used
In the rainfall on monitoring rainy day, avoid that flood occurs, image capture module, Smoke Detection module and precipitation detection module are equal
Be electrically connected with signal receiver, signal receiver is electrically connected with microchip, microchip be electrically connected with alarm device and
Remote computer, alarm device is for sounding an alarm prompt to the condition of a disaster；Administrative unit includes that processor and processor are electrically connected
Data reception module and execution module, data reception module is for receiving crop growth data and disaster data, execution module
It is electrically connected with irrigation equipment, fertilizing equipment, pesticide dispersal equipment, fire-extinguishing apparatus and drainage equipment.
The present invention also provides a kind of big data agricultural management methods, include the following steps；
Step 1: corresponding soil moisture, soil nutrient, crop growth state are installed in the soil for growth of crops
With the detection device of carbon dioxide, and system is sent by real-time growth data by these equipment；
Step 2: system makes corresponding quantity according to the growth data of crops, if soil moisture is too low, need into
Row Irrigation regime；If soil nutrient is insufficient, need to carry out fertilizer treatment；
Step 3: corresponding weather monitoring device being installed in the soil for growth of crops, mainly to local real-time air
Humidity, temperature, wind intensity and intensity of illumination are detected；
Step 4: by the big data analysis of system, the growth data of crops and local meteorological data being generated into growth
Model, thus the yield to predict crops.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (6)
1. a kind of big data agricultural management system, including main control module, which is characterized in that the main control module is electrically connected with agriculture
Crop monitoring unit, weather monitoring unit, big data analysis unit, disaster alarm unit and administrative unit, the crops prison
Surveying unit includes data acquisition module, and the data acquisition module is electrically connected with soil moisture detection module, soil nutrient inspection
Module, growth conditions detection module and carbon dioxide detection module are surveyed, the soil moisture detection module is for detecting crops
The humidity of soil for growth, the soil nutrient detection module is for detecting the nutrition such as the nitrogen, phosphorus, inorganic salts of crop growth soil
Component content, the growth conditions detection module are used to detect the growths ginsengs such as the growing height, leaves density, sturdy degree of crops
Number, the carbon dioxide detection module are used to detect the concentration of the carbon dioxide of the growth district of crops, the data acquisition
The output end of module is electrically connected with data analysis module, and the data analysis module is electrically connected with evaluation module, institute's commentary
Whether valence module is mainly normal according to the growth conditions of the crop growth data of acquisition evaluation and test crops and growing environment；
The weather monitoring unit includes data uploading module, and the input terminal of the data uploading module is electrically connected air humidity
Detection module, temperature detecting module, wind intensity detection module and intensity of illumination detection module, the air humidity detection module
For detecting local real-time air humidity, for the temperature detecting module for detecting local real-time temperature, the wind-force is strong
Degree detection module is for detecting local real-time wind intensity, and the intensity of illumination detection module is for detecting local real-time light
According to intensity, the output end of the data uploading module is electrically connected with data transmission blocks, and the data transmission blocks are used for will
Meteorological data is sent to main control module.
2. a kind of big data agricultural management system according to claim 1, which is characterized in that the big data analysis unit
Including data reception module, the data reception module is electrically connected with data model and establishes module, described to have data model to build
Formwork erection block mainly establishes the growth data model of crops, the number according to the growth conditions of crops and local weather condition
It is electrically connected with processing chip according to model building module, the processing chip is electrically connected with production forecast module, the yield
Prediction module mainly predicts the yield of crops according to the growth data model of crops.
3. a kind of big data agricultural management system according to claim 2, which is characterized in that the processing chip is
The chip of MT8382 model is provided with reservoir in the processing chip, and the processing chip wireless telecommunications are connected with database.
4. a kind of big data agricultural management system according to claim 1, which is characterized in that the disaster alarm unit packet
Image capture module, Smoke Detection module and precipitation detection module are included, described image capture module is for capturing crops
The quantity of pest, the Smoke Detection module are used to monitor the generation of fire, and the precipitation detection module is rainy for monitoring
It rainfall avoids that flood occurs, and described image capture module, Smoke Detection module and precipitation detection module electrically connect
It is connected to signal receiver, the signal receiver is electrically connected with microchip, and the microchip is electrically connected with alarm device
And remote computer, the alarm device is for sounding an alarm prompt to the condition of a disaster.
5. a kind of big data agricultural management system according to claim 1, which is characterized in that the administrative unit includes place
Device, the data reception module being electrically connected with processor and execution module are managed, the data reception module is for receiving crops
Growth data and disaster data, the execution module are electrically connected with irrigation equipment, fertilizing equipment, pesticide dispersal equipment, fire extinguishing
Equipment and drainage equipment.
6. a kind of big data agricultural management method described in -5 according to claim 1, which is characterized in that include the following steps；
Step 1: corresponding soil moisture, soil nutrient, crop growth state and two are installed in the soil for growth of crops
The detection device of carbonoxide, and system is sent by real-time growth data by these equipment；
Step 2: system makes corresponding quantity according to the growth data of crops, if soil moisture is too low, is filled
Irrigate processing；If soil nutrient is insufficient, need to carry out fertilizer treatment；
Step 3: corresponding weather monitoring device is installed in the soil for growth of crops, it is mainly wet to local real-time air
Degree, temperature, wind intensity and intensity of illumination are detected；
Step 4: by the big data analysis of system, the growth data of crops and local meteorological data being generated into growth mould
Type, thus the yield to predict crops.
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Cited By (5)
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| CN110514248A (en) * | 2019-09-24 | 2019-11-29 | 任杉元 | A kind of intelligence based on big data, automation agricultural data acquisition system |
| CN110692338A (en) * | 2019-10-30 | 2020-01-17 | 北京农业智能装备技术研究中心 | Control method of water-fertilizer integrated irrigation system and water-fertilizer integrated irrigation system |
| CN111426347A (en) * | 2020-04-15 | 2020-07-17 | 河北冀云气象技术服务有限责任公司 | Crop growth condition characteristic acquisition system and method |
| CN111473820A (en) * | 2020-05-15 | 2020-07-31 | 西华师范大学 | Crop intelligent monitoring system based on FPGA and implementation method thereof |
| CN113950926A (en) * | 2021-10-27 | 2022-01-21 | 青岛农业大学 | Intelligent water, fertilizer and pesticide integrated irrigation system and irrigation method thereof |
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| CN113950926A (en) * | 2021-10-27 | 2022-01-21 | 青岛农业大学 | Intelligent water, fertilizer and pesticide integrated irrigation system and irrigation method thereof |
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Application publication date: 20190917 |