CN109460098A - A kind of agriculture Internet of things system based on big data - Google Patents
A kind of agriculture Internet of things system based on big data Download PDFInfo
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- CN109460098A CN109460098A CN201811653499.0A CN201811653499A CN109460098A CN 109460098 A CN109460098 A CN 109460098A CN 201811653499 A CN201811653499 A CN 201811653499A CN 109460098 A CN109460098 A CN 109460098A
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Abstract
This application discloses a kind of agriculture Internet of things system based on big data, the different levels for being generated according to information, transmit and handling and applying, comprising: sensing layer, transport layer, process layer and application layer.The sensing layer, for undertaking data acquisition task；By being deployed in big Tanaka's various kinds of sensors equipment, environmental parameter, crop growthing development situation, equipment running status data information are acquired.The running state data information further comprises: temperature, humidity, gas concentration lwevel, intensity of illumination, heating temperature, wind speed, wind direction, rainfall, frost, storm.The present invention is based on the agriculture Internet of things system of big data, break the traditional mode of production mode of extensive style, develop agricultural production to the direction of intensive, precision, intelligence, digitization, the functions such as Tree Precise Fertilization, accurate medication, automatic survey production, unmanned are done step-by-step.
Description
Technical field
The present invention relates to computer technology science and technology field, in particular to a kind of agriculture Internet of Things system based on big data
System and its application.
Background technique
Currently, China is in the process promoted rapidly from traditional agriculture to modern agriculture, the development of modern agriculture
From production, operation, management to service, the support of all urgent hail message technology of links.
The arrival of Internet of Things tide creates unprecedented opportunities for the development of modern agriculture, and reclaiming traditional agriculture is simultaneously
Develop modern agriculture, there is an urgent need to use technology of Internet of things to field planting, facilities horticulture, livestock and poultry cultivation, aquaculture, agricultural production
The various agriculture elements in the agricultural industries such as product logistics field implement Design of digital, intelligentized control method, precision operation and science
Change management, to realize " complete perception, reliable transmission and the Intelligent treatment " to various agriculture elements, and then reaches high yield, height
Effect, high-quality, ecological, safe target.Technology of Internet of things is in the practical application and constantly hair in agriculture field by the more than ten years
Exhibition, combines closely with agriculture field, forms agriculture Internet of Things.
Agriculture Internet of Things is exactly concrete application of the technology of Internet of things in agricultural production, operation, management and service, that is, is used
Various kinds of sensors, etc. awareness apparatus, widely acquire field planting, facilities horticulture, beasts, birds and aquatic products cultivation and agricultural product logistics etc.
Agriculture relevant information；By establish data transmission and format conversion method, make full use of wireless sensor network, telecommunications network and mutually
The various moderns information transfer channels such as networking, realize the reliable transmission of Agricultural Information；The magnanimity Agricultural Information that finally will acquire into
Row fusion treatment, and pass through intelligent operation terminal and realize the automated production of agricultural, optimized control, intelligent management, be
System compound stream, e-transaction, and then realization agricultural production is intensive, high yield, high-quality, efficient, ecological and safe target.
Agriculture Internet of Things can obtain more data informations, including Crop Information, farm environment letter by cognition technology
Breath, agricultural machinery working information, provide real time information more abundant by transmission technology for our agricultural, by mutually allying the communists comprehensively
It enjoys and obtains more network services, agricultural sciences level of decision-making and operation carrying out horizontal are improved by intelligent decision.
Agriculture Internet of Things belongs to cross discipline, is technology of Internet of things in the widely applied product of agriculture field, agriculture Internet of Things
Net system divides the standard for being referred to the division of Internet of Things net system.The information of agriculture field will be by generating, transmitting, handling and answering
It is divided into four layer models as shown in the figure accordingly with Four processes agricultural Internet of Things.Sensing layer utilizes sensor and barcode technology
Etc. various cognition technologies, by various equipment and means, to existing in nature and all kinds of numbers significant to agricultural production
It is believed that breath is obtained, the identification of " object " is realized.
Transport layer, which has, completes information transmission and extensive interconnecting function in a wide range of, can by existing wan technology with
The sensing network technology of sensing layer blends, and is transmitted to needs the Agricultural Information perceived is accessible, quick, safe and reliable
The place of information makes article be able to achieve long-distance large-range communication in the world.Process layer by cloud computing, data mining,
The information processing technologies such as pattern-recognition, prediction and warning realize the depth integration of final information technology and industry, complete article
Information summarizes, shares, predicting and the functions such as analysis decision.
Application layer is the top of agriculture internet of things system structure, is terminaloriented user, can be according to user not
Different operating platforms is built with demand, the application of agriculture Internet of Things mainly realizes field planting, facilities horticulture, livestock and poultry and supports
Grow, aquaculture, in agricultural product delivery process manager direct participation, by agriculture Internet of Things, manager can be faster
Various information is obtained, for emergency case, manager, which can make, more timely to react, and by remotely controlling, manager can be with
Realize that, to the entire finer management of agricultural production line, manager can carry out agricultural from the multiple application angles of Internet of Things
Management, reaches agricultural production high yield, high-quality, efficient, ecological and safe target.
The potential salt-soda soil for transforming farmland as in China is about hundred million mu of 2-3 at present, wherein urgently changing within the scope of the red line of arable land
The area made is about 1.4 hundred million mu.The soil of DESERTIFICATION IN CHINA has more than 30 hundred million mu.The annual contaminated arable land of China just there are about
1.5 hundred million mu, account for the 8.3% of 1,800,000,000 mu of arable lands.There are 15,000,000,000 mu of salt-soda soils in the whole world, wherein having the ratio of chemurgy transformation potentiality
In 10%, i.e., 1,500,000,000 mu or more.
However need to administer and improve in face of a large amount of soil, existing land technical level is irregular, and there are all
More problems, general character critical issue are urgently to be resolved.
The potentiality of one side prior art industrial application are insufficient.The measure of alkaline land improving mainly has hydraulic engineering to arrange
It applies, agrotechnical measure, biological control measure and chemical modifying measure etc., various measures can obtain under different times specified conditions
Certain reclamation of salinep-alkali soil result.But most of new technology, new method all rest on experimental stage, and industrial application reserve strength is not
Foot.
One side prior art application conditions multiplicity, the value for lacking systematization and being widely applied.It is various physics, raw
Object, chemical administering method all has certain effect, to realize effect of the 1+1 greater than 2 it is necessary to by various advanced technologies
It organically combines, collaborative innovation, forms the complete set technology system that can be widely applied and replicate.
Summary of the invention
Technical problem to be solved by the present invention lies in provide a kind of agriculture Internet of things system based on big data.This
Invention Internet of things system is used for alkaline land improving, and sensor module and Internet of Things transmission module realize the acquisition and transmission of data,
Big data platform realizes the analysis and decision of data, and decision feedback realizes Tree Precise Fertilization, accurate medication, accurate salt discharge alkali.
In order to solve the above technical problems, the present invention provides a kind of agriculture Internet of things system based on big data, according to letter
Breath is generated, transmits and handled and the different levels of application, comprising: sensing layer, transport layer, process layer and application layer.
Preferably, the sensing layer, for undertaking data acquisition task；It is set by being deployed in big Tanaka's various kinds of sensors
It is standby, acquire environmental parameter, crop growthing development situation, equipment running status data information.
Preferably, the running state data information, further comprise: temperature, humidity, gas concentration lwevel, illumination are strong
Degree, heating temperature, wind speed, wind direction, rainfall, frost, storm.
Preferably, the transport layer will be perceived for forming sensing network using wireless communication technique and ad hoc network
The collected data information transfer of layer imports integrated data center as data application server-side to Sensor core node,
The reference data of magnanimity is formed by accumulation, provides the decision data on basis with feedback control for remotely predicting diagnosis.
Preferably, the application layer, for undertaking the parsing, displaying and analysis application function of perception layer data；To count greatly
Based on the analysis mining of application, intelligence control system is established, realizes the Monitoring and forecasting system in real-time to existing environment；Pass through setting
Environmental parameter threshold value realizes automation and intelligentification control.
Preferably, the process layer, for utilizing expert system, in conjunction with the communication technology, to crop growth state, sensing
Device failure, the prevention and control of plant diseases, pest control and microenvironment monitoring carry out remote diagnosis analysis and operation instruction service；Realize that broadacre agriculture is accurate
Operation and intelligent management, and operation instruction decision is remotely provided.
In order to solve the above technical problems, the present invention also provides a kind of agriculture Internet of things system based on big data, comprising:
Sensor subsystem, plant strain growth perceive subsystem, aerial mobile aware application integral subsystem, and, the integrated prison of Internet of Things
Survey subsystem.
Preferably, the sensor subsystem, for acquiring Atmosphere temp.and RH, Soil Temperature And Moisture in agriculture crop field environment
Degree, leaf table temperature and humidity, wind speed, wind direction, rainfall, illuminance, water level and flow agricultural environment parameter information data.
Preferably, the plant strain growth perceives subsystem, and the state for monitoring and studying plant strain growth each stage is believed
Breath；It is equipped with all kinds of plant growth sensors and miniature webcam, it can be to the various physical signs and environmental index of plant
Carry out comprehensive monitoring and research.
Preferably, the aerial mobile aware application integral subsystem, for realizing to crop field pest and disease monitoring and prevention and treatment,
Field fertilization spray production management information is collected.
Beneficial effect of the present invention includes: the agriculture Internet of things system the present invention is based on big data, breaks the tradition of extensive style
Production model develops agricultural production to the direction of intensive, precision, intelligence, digitization, be done step-by-step Tree Precise Fertilization,
Accurate medication, automatic survey such as produce, are unmanned at the functions.High mechanization, automation, intelligence, on the basis of, can be realized
Time saving, laborsaving, saving of labor holds the integral status of land resource comprehensively, has not only ensured the living standard of resident, but also ensure sky blue, mountain
It is green, light green.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is the required attached drawing used in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only one
Embodiment or the prior art is divided without creative efforts, may be used also for those of ordinary skill in the art
To obtain other similar or relevant drawings according to these attached drawings.
Fig. 1 is agricultural Internet of things system structural schematic diagram described in the embodiment of the present invention；
Fig. 2 is agricultural Internet of things system sensing layer operation schematic diagram described in the embodiment of the present invention.
Specific embodiment
The present invention is described in detail below with reference to embodiment.To keep the objectives, technical solutions, and advantages of the present invention clearer, bright
Really, the present invention is described in more detail below, but the invention is not limited to these embodiments.
The present invention is based on the agriculture Internet of things system of big data, are generated according to information, the difference of transmission and processing and application
Level, can be divided into sensing layer, transport layer, process layer and application layer, and model is for example as shown in Figure 1.
Sensing layer mainly undertakes data acquisition task, by being deployed in big Tanaka's various kinds of sensors equipment, acquisition environment ginseng
The data informations such as number, crop growthing development situation, equipment running status, including temperature, humidity, gas concentration lwevel, illumination
Intensity, heating temperature, wind speed, wind direction, rainfall, frost, storm etc..Agriculture sensor device has inexpensive, highly reliable, low function
The features such as consumption, suitable for the various information perception under Complex Natural Environment, model is as shown in Figure 2.
Transport layer forms sensing network using wireless communication technique and ad hoc network, and the collected data of sensing layer are believed
Breath is transmitted to Sensor core node, and imports integrated data center as data application server-side, to be formed by constantly accumulating
The reference data of magnanimity provides the decision data on basis with feedback control for remotely predicting diagnosis.The sensing network has more associations
The features such as discussing compatible, self-organizing and high throughput, ensure under complicated agriculture production environment data transmission stability, can
By property and timeliness.
Application layer mainly undertakes the application functions such as parsing, displaying and the analysis of perception layer data.With point of big data application
Based on analysis is excavated, intelligence control system is established, realizes the Monitoring and forecasting system in real-time to existing environment.Pass through set environment parameter threshold
Value realizes automation and intelligentification control.
Process layer mainly utilizes expert system, in conjunction with the communication technology, to crop growth state, sensor fault, disease pest
Evil prevention and treatment and microenvironment monitoring etc. carry out remote diagnosis analysis and operation instruction service.Realize that broadacre agriculture precisely operates and intelligence
Change management, and operation instruction decision is remotely provided.
(1) environmental parameter visual control.In conjunction with three-dimensional live figure and sensor device monitoring data, display environment variation
Situation and each equipment working state effectively promote user and visualize Experience Degree.
(2) feedback control.For environmental parameter situation required for crops different stages of growth, the threshold of its control is set
Value realizes the automation control of related smart machine, by environmental variance control in a certain range that suitable for plant is grown, embodies
The high efficiency of broadacre agriculture.
(3) the remote production guide service based on reference data.Local sensing acquisition data are provided with Remote library
Reference data compare and analyze, provide technological guidance's service for scene agricultural production, auxiliary formulates personalized production management
Scheme improves energy utility management efficiency, provides decision support for crop pest control.
(4) mobile intelligent terminal management system application.In conjunction with functions such as Mobile Phone Short Message Services, by sending querying command,
Current environmental condition and image conditions can be checked at any time.By the data at internet accessible services device end, it is raw to obtain crops
Dossier information is produced, realizes the traceable management of agricultural product quality.
Agricultural Internet of things system of the invention is used for data acquisition and the monitoring of the field microenvironment in agriculture crop field, sets up
Applied to the wireless sensor network network under agriculture complicated environment, can be carried out in a wide range of operating environment in farmland flexibly and efficiently
Deployment is implemented, and realizes the accurate service and application management of various data.
I, sensor subsystem
Using the dedicated sensing equipment of the agricultural for meeting agricultural production characteristic and application environment, acquire in the environment of agriculture crop field
The agricultural environments parameters such as Atmosphere temp.and RH, soil temperature and humidity, leaf table temperature and humidity, wind speed, wind direction, rainfall, illuminance, water level and flow
Information data, solve at present applied to the sensor stability in agricultural environment is particularly poor, cost is relatively high, integration compares
It is low, it can not extensive, integration propulsion application broadacre agriculture Internet of Things intelligent control device problem, effectively promotion Production of Large Fields
Intelligent management level.
(1) solar electric power supply system: using solar energy and lithium battery phase composite system, ensures and provides sufficient power supply supply,
The prolonged stable operation of guarantee system, no external power supply can be continuous work 3 years or more.
(2) field microenvironment data acquisition network equipment: data acquire maincenter and use Zigbee wireless ad hoc network technology,
Guarantee 1.5 kilometers of reliable transmission distance.
(3) wind speed wind direction sensor: stablize 0~30m/s of effective wind speed measurement range, resolution ratio 0.1m/s.
(4) aerial temperature and humidity sensor: -40 degrees Celsius of reliable temperature range~80 degree Celsius, reliable humidity range 0~
100%.
(5) crop field water level sensor: 0~50cm of measurement range or so, measurement accuracy 1mm or so.
II plant strain growth perceives subsystem
Plant strain growth perception subsystem is used to monitor and study the status information in plant strain growth each stage.It is equipped with all kinds of
Plant growth sensor and miniature webcam can carry out comprehensive prison to the various physical signs and environmental index of plant
It surveys and studies.
(1) it solar electric power supply system: using solar energy and the compound power-supply system of lithium battery, is capable of providing sufficient power supply and supplies
It answers, guarantees the prolonged stable operation of system.
(2) data acquire transmission device: data acquisition uses zigbee wireless ad hoc network technology, and transmission range 1.5 is public
In or so.
(3) micro radio camera: 50 everything element of image resolution ratio or so, 100 meters of wireless transmission distance or so.
(4) leaf wetness sensors: reliable measurements range 0~100%, the +/- 3%RH of measurement accuracy.
(5) leaf area temperature sensor: range is at -30 degrees Celsius~60 degrees Celsius, +/- 0.2 degree Celsius of measurement accuracy.
(6) growing of plant fruit sensor: measurement range is in 30~160mm, resolution ratio+- 0.001mm.
(7) plant stem produces sensor: measurement range is in 0~+- 3ml/h (relative value).
(8) sunshine time sensor: 400~1100nm of spectral wavelength ranges, 0~2000W/m2 of test scope.
(9) aerial temperature and humidity sensor: temperature range is at -40 degrees Celsius~80 degrees Celsius, and humidity range is 0~100%.
(10) soil humidity sensor: RH range is 10%~100%.
III, aerial mobile aware application integral subsystem
Based on aerial cruise real-time monitoring equipment, realize raw to crop field pest and disease monitoring and prevention and treatment, field fertilization spray etc.
Produce management application.Unmanned plane uses eight-rotary wing aircraft, controls more flexible.VTOL, the precisely functions such as hovering can be achieved.
By carrying multispectral visual perception sensing equipment, crop growth spectral information can be acquired in real time, analyzes the life of crops
Long developmental state realizes that the observation to growth and development processes such as the crop field growth of cereal crop seedlings, pest and disease damage generations monitors.
Aerial mobile aware application integrated equipment can analyze view in real time according to the flight path of setting autonomous cruise in the sky
Frequency evidence, discovery have suspicious disease pest and weed mark information, so that it may aircraft be manually operated and hover over corresponding position, carry out low coverage
From monitoring observation and photo is shot, helps plant protection personnel to reinforce disease pest and weed early-warning and predicting, a large amount of human costs can be saved.
(1) unmanned plane main body: eight rotor bodies, 10 kilograms of loading capacity or so, the flight time 30~45 minutes.
(2) flight control system: have Intelligent Dynamic balance, 5 grades of rated wind velocity, contain failsafe control system.
(3) GPS navigation system: can be achieved the path tracking self-navigation of 50 presets, can set flying height and fly
Scanning frequency degree.
(4) transmission of 3 kilometer radius wireless real-time imagings Wireless Image Transmission Systems: can be achieved.
(5) carry sensor: air temperature sensor range is at -40 degrees Celsius~80 degrees Celsius, air humidity sensor
Range is 0~100%
IV, Internet of Things integrated monitor subsystem
Internet of Things integrated monitor subsystem application is technology of Internet of things in antenatal farmland fundamental resource management, production middle peasant
The concrete application in the fields such as feelings monitoring and warning and precision agriculture work production and postpartum farm machinery tillage command scheduling.Mainly include
The monitoring of soil moisture content meteorology, farm environment monitoring, the monitoring of fertilising Drug use administration, field crop pest and disease disasters diagnosis are commanded with early warning, agricultural machinery
Management and running, production process fine manipulation etc..
Crop field intelligent irrigation based on agriculture Internet of things system of the invention
(1) time of infertility of crop can be divided into several growing stages, by taking rice as an example, can be divided into turn green, tiller,
Jointing booting, heading blooms, 6 growing stages such as milking maturity, yellow maturity.Different phase duty deficiency can be to final yield
Have an impact, 4 stages such as tiller especially therein, jointing booting, heading bloom, milking maturity.
(2) water demand of crop refers to that crop in the case where suitable soil moisture and soil fertility condition is horizontal, sends out by normal growth
It educates, the transpiration, Evaporation among plants when obtaining high yield and the sum of the water for constituting plant body think that crop needs in actually calculating
Water is quantitatively equal to the sum of transpiration amount and ground evaporation between plants under high yield level conditions.
The water demand of crop generally passes through precipitation and irrigates supply.There are many factor for influencing the water demand of crop, the water demand of crop
Combined influence of the size by physical action and physiological action.Various crops and same crop are in different regions, time or cultivation
Water requirement under the conditions of training is different.
The meteorological conditions such as the water demand of crop and temperature and humidity, sunshine, wind speed, radiation, soil water-containing situation, crop species and life
Long stage of development, agrotechnical measure, irrigation and drainage measure etc. are related.
The field data that integrated detection system based on agriculture Internet of things system of the invention obtains, implements intelligence to crop field and fills
The efficient distribution of the water demand of crop intelligent predicting irrigate and water resource optimizes.
The present invention is based on the agriculture Internet of things system of big data:
(1) the complete intelligent field management system based on alkaline land improving, realizes water, fertilizer, salt balance adjustment, intelligence
Change, precision fertilising, medication.
(2) meteorologic model based on salt-soda soil, Pest model and extra large Rice Growth Model, predict meteorological disaster, disease pest
The indexs such as evil, extra large rice yield.
(3) it based on the analysis system of big data, is manipulated by expert's on-line system and is instructed, be directly fed back to data acquisition
Frequency and efficiency, directly control field management.In time, efficiently.
Agriculture Internet of things system based on big data analysis, including Agricultural Information acquisition recycle intelligence with Transmission system, liquid manure
It can networked control systems, agricultural machinery intelligent control system, big data analysis and expert diagnosis and management system.
It using miniature environment physical and chemical factor sensor in conjunction with NB-IoT technology, is diagnosed by AI and expertized stuff, realizes intelligence
Energyization control.
The multinomial complete sets of Techniques such as comb net and sensor, Internet of Things, big data will be filled, integrated irrigation and drainage system is formed.
Engineering is changed alkali water and agronomy to be integrated with aqueous fusion, realizes water, soil, salt balance.
Using closed drainage, accelerates leaching salt efficiency, prevent the accumulation of salt in the surface soil, while recycling irrigation water.
Agricultural Information acquisition and Transmission system
For salt-soda soil, distinctive salt tolerant, alkaline-resisting information collection and Transmission system are configured.
Including real-time monitoring system and forecasting system
Real-time monitoring system:
Environment monitoring sensor: for nutrients such as water salinity, flow, pH value, dissolved oxygen, Organic carbon and nitrogen phosphorus potassium
Monitoring.
Meteorological sensor: for the monitoring of the Meteorological Elements such as temperature, humidity, wind speed, evaporation capacity, illuminance, carbon dioxide.
Agriculture sensor: contain for pest and disease monitoring, to growth situation, farming effect, application rate, Trace Elements in Soil
The data collection of amount, real-time yield, complete set combination,
For situations such as real-time monitoring meteorology in farmland, environment, pest and disease damage, crop growth situation.
Forecasting system
Including meteorological disaster model, pest and disease damage identification with prediction model, Production rate model, for predict meteorological disaster,
The indexs such as pest and disease damage, extra large rice yield.
Liquid manure cycle intelligent networked control systems include: controllable pipe-line system
Water, soil, salt dynamic equilibrium are realized by controllable pipeline.Using closed drainage, on the one hand, accelerate arable layer leaching salt effect
Rate；On the other hand, barrier deep layer saline-alkali water is used as with capillary rises the caused accumulation of salt in the surface soil, while can also recycle irrigation water, can
Water containing salinity is uniformly processed, is recycled.
The liquid manure circulatory system
Soluble solids or liquid fertilizer are dissolved by the regulation of fertilizer requirement and feature of soil nutrient content and crop species
At solution together with irrigation water, pass through controllable pipe-line system carry out on demand fertilising supply water.
Sprinkler irrigation system
According to the nutrient uptake feature of different crops, soil environment and Nutrient Concentration Status, regulation of fertilizer requirement situation carry out different
The Demand Design of breeding time at regular time and quantity moisture, nutrient is supplied directly to crop, spray gun, spray head are by accurately controlling in proportion
It manufactures on demand, periodically, quantitatively.
Agricultural machinery intelligent control system
Including agro-machine monitor system, farm machinery management system, realize to agricultural machinery state (position, oil consumption etc.), agricultural machinery position, agriculture
The intelligent management of machine service, to make it that can understand event, prediction result in user or administrative staff, provide planning plan
There is practical value in slightly waiting.
Big data analysis and expert diagnosis and management system
By information acquisition system, a series of plantation data are acquired, these data are uploaded in cloud platform.
Data are subjected to taxonomic revision, data mining exports BI analysis report by association rules.
On-line expert is analyzed and determined according to the data that system provides, and carries out guidance and field management to growth.
The above is only several embodiments of the present invention, not any type of limitation is done to the present invention, although this hair
It is bright to be disclosed as above with preferred embodiment, however be not intended to limit the invention, any person skilled in the art, it is not taking off
In the range of technical solution of the present invention, a little variation or modification are made using the technology contents of the disclosure above and is equal to
Case study on implementation is imitated, is belonged in technical solution of the present invention protection scope.
Claims (10)
1. a kind of agriculture Internet of things system based on big data, which is characterized in that generated, transmitted and handled according to information and applied
Different levels, comprising: sensing layer, transport layer, process layer and application layer.
2. the agriculture Internet of things system based on big data according to claim 1, which is characterized in that the sensing layer is used for
Undertake data acquisition task；By being deployed in big Tanaka's various kinds of sensors equipment, environmental parameter, crop growthing development shape are acquired
Condition, equipment running status data information.
3. the agriculture Internet of things system based on big data according to claim 2, which is characterized in that the running state data
Information further comprises: temperature, humidity, gas concentration lwevel, intensity of illumination, heating temperature, wind speed, wind direction, rainfall, frost,
Storm.
4. the agriculture Internet of things system based on big data according to claim 1, which is characterized in that the transport layer is used for
Sensing network is formed using wireless communication technique and ad hoc network, by the collected data information transfer of sensing layer to sensor
Core node, and integrated data center is imported as data application server-side, the reference data of magnanimity is formed by accumulation, is remote
Journey predictive diagnosis and feedback control provide the decision data on basis.
5. the agriculture Internet of things system based on big data according to claim 1, which is characterized in that the application layer is used for
Undertake the parsing, displaying and analysis application function of perception layer data；Based on the analysis mining of big data application, intelligence is established
Control system realizes the Monitoring and forecasting system in real-time to existing environment；By set environment parameter threshold, automation and intelligentification control is realized
System.
6. the agriculture Internet of things system based on big data according to claim 1, which is characterized in that the process layer is used for
Crop growth state, sensor fault, the prevention and control of plant diseases, pest control and microenvironment are monitored in conjunction with the communication technology using expert system
Carry out remote diagnosis analysis and operation instruction service；Realization broadacre agriculture precisely operates and intelligent management, and remotely provides life
Decision is instructed in production.
7. a kind of agriculture Internet of things system based on big data characterized by comprising sensor subsystem, plant strain growth sense
Know subsystem, aerial mobile aware application integral subsystem, and, Internet of Things integrated monitor subsystem.
8. the agriculture Internet of things system based on big data according to claim 7, which is characterized in that the sensor subsystem
System, for acquiring the Atmosphere temp.and RH in agriculture crop field environment, soil temperature and humidity, leaf table temperature and humidity, wind speed, wind direction, rainfall, light
Illumination, water level and flow agricultural environment parameter information data.
9. the agriculture Internet of things system based on big data according to claim 7, which is characterized in that the plant strain growth perception
Subsystem, for monitoring and studying the status information in plant strain growth each stage；Be equipped with all kinds of plant growth sensors and
Miniature webcam can carry out comprehensive monitoring and research to the various physical signs and environmental index of plant.
10. the agriculture Internet of things system based on big data according to claim 7, which is characterized in that the aerial mobile sense
Know application integration subsystem, is collected for realizing to crop field pest and disease monitoring and prevention and treatment, field fertilization spray production management information.
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| CN110138879A (en) * | 2019-06-04 | 2019-08-16 | 黑龙江省七星农场 | A kind of processing method for agriculture Internet of Things |
| CN110244804A (en) * | 2019-06-14 | 2019-09-17 | 武汉合创源科技有限公司 | A kind of big data agricultural management system and method |
| CN110647194A (en) * | 2019-09-26 | 2020-01-03 | 北京科百宏业科技有限公司 | Big data analysis processing system for solving agricultural frost and working method thereof |
| CN111011130A (en) * | 2019-12-31 | 2020-04-17 | 江苏农创科技有限公司 | Wheat planting method based on real-time detection and growth condition estimation technology |
| CN111026205A (en) * | 2019-12-25 | 2020-04-17 | 四川省农业科学院蚕业研究所 | Smart young silkworm co-breeding system based on Internet of things technology |
| CN111553805A (en) * | 2020-04-27 | 2020-08-18 | 无锡雪浪数制科技有限公司 | Decision making system based on smart agriculture cloud platform |
| CN111866183A (en) * | 2020-08-15 | 2020-10-30 | 郑州太德网络科技有限公司 | Internet of things agricultural planting and breeding combined system |
| CN112068623A (en) * | 2020-09-30 | 2020-12-11 | 内蒙古科技大学 | Greenhouse group intelligence management system based on internet |
| CN113055842A (en) * | 2021-03-10 | 2021-06-29 | 华中科技大学 | Plant data accurate transmission method and system based on Internet of things |
| CN113645302A (en) * | 2021-08-11 | 2021-11-12 | 中建八局第三建设有限公司 | Greening maintenance intelligent monitoring system based on Internet of things |
| CN114527692A (en) * | 2022-01-25 | 2022-05-24 | 武汉工程大学 | Wisdom farm control system |
| CN116258238A (en) * | 2022-12-07 | 2023-06-13 | 嘉应学院 | Crop management system based on Internet of things |
| CN117178687A (en) * | 2023-10-25 | 2023-12-08 | 云南省烟草公司红河州公司 | High-yield and high-quality cultivation method for sweet corn |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105446309A (en) * | 2015-12-31 | 2016-03-30 | 西北工业大学 | Agricultural intelligent analysis monitoring system based on IOT (Internet of Things) |
| CN105513325A (en) * | 2015-12-31 | 2016-04-20 | 深圳市芭田生态工程股份有限公司 | Agricultural service system for solving planting problems based on Internet of Things |
| CN106210043A (en) * | 2016-07-11 | 2016-12-07 | 太原理工大学 | A kind of industrialized agriculture environmental information remote intelligent monitoring system based on Internet of Things |
| WO2017039473A1 (en) * | 2015-09-01 | 2017-03-09 | Food And Agriculture Cloud Technology-Fact Doo Beograd | System and procedure for managing the process of verification of the safety of food and agricultural products |
| CN107105062A (en) * | 2017-06-01 | 2017-08-29 | 安徽福讯信息技术有限公司 | A kind of wisdom agricultural system based on Internet of Things |
-
2018
- 2018-12-29 CN CN201811653499.0A patent/CN109460098A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017039473A1 (en) * | 2015-09-01 | 2017-03-09 | Food And Agriculture Cloud Technology-Fact Doo Beograd | System and procedure for managing the process of verification of the safety of food and agricultural products |
| CN105446309A (en) * | 2015-12-31 | 2016-03-30 | 西北工业大学 | Agricultural intelligent analysis monitoring system based on IOT (Internet of Things) |
| CN105513325A (en) * | 2015-12-31 | 2016-04-20 | 深圳市芭田生态工程股份有限公司 | Agricultural service system for solving planting problems based on Internet of Things |
| CN106210043A (en) * | 2016-07-11 | 2016-12-07 | 太原理工大学 | A kind of industrialized agriculture environmental information remote intelligent monitoring system based on Internet of Things |
| CN107105062A (en) * | 2017-06-01 | 2017-08-29 | 安徽福讯信息技术有限公司 | A kind of wisdom agricultural system based on Internet of Things |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110138879A (en) * | 2019-06-04 | 2019-08-16 | 黑龙江省七星农场 | A kind of processing method for agriculture Internet of Things |
| CN110244804A (en) * | 2019-06-14 | 2019-09-17 | 武汉合创源科技有限公司 | A kind of big data agricultural management system and method |
| CN110647194A (en) * | 2019-09-26 | 2020-01-03 | 北京科百宏业科技有限公司 | Big data analysis processing system for solving agricultural frost and working method thereof |
| CN111026205A (en) * | 2019-12-25 | 2020-04-17 | 四川省农业科学院蚕业研究所 | Smart young silkworm co-breeding system based on Internet of things technology |
| CN111011130A (en) * | 2019-12-31 | 2020-04-17 | 江苏农创科技有限公司 | Wheat planting method based on real-time detection and growth condition estimation technology |
| CN111553805A (en) * | 2020-04-27 | 2020-08-18 | 无锡雪浪数制科技有限公司 | Decision making system based on smart agriculture cloud platform |
| CN111866183A (en) * | 2020-08-15 | 2020-10-30 | 郑州太德网络科技有限公司 | Internet of things agricultural planting and breeding combined system |
| CN112068623A (en) * | 2020-09-30 | 2020-12-11 | 内蒙古科技大学 | Greenhouse group intelligence management system based on internet |
| CN113055842A (en) * | 2021-03-10 | 2021-06-29 | 华中科技大学 | Plant data accurate transmission method and system based on Internet of things |
| CN113645302A (en) * | 2021-08-11 | 2021-11-12 | 中建八局第三建设有限公司 | Greening maintenance intelligent monitoring system based on Internet of things |
| CN114527692A (en) * | 2022-01-25 | 2022-05-24 | 武汉工程大学 | Wisdom farm control system |
| CN116258238A (en) * | 2022-12-07 | 2023-06-13 | 嘉应学院 | Crop management system based on Internet of things |
| CN117178687A (en) * | 2023-10-25 | 2023-12-08 | 云南省烟草公司红河州公司 | High-yield and high-quality cultivation method for sweet corn |
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