CN104766153A - Agricultural things-internet platform architecture - Google Patents
Agricultural things-internet platform architecture Download PDFInfo
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Abstract
The invention relates to an agricultural things-internet platform architecture. The agricultural things-internet platform architecture comprises an agricultural data resource integration module, a professional system supporting module and a terminal demonstration platform which are sequentially connected. The agricultural data resource integration module comprises a cloud data center, a cloud computing center, a cloud service center, an agricultural information acquisition center and a plurality of agricultural data resource databases. The professional system supporting module comprises a fine production decision control module and a processing warehouse logistics real-time monitoring module. The fine production decision control module conducts dynamic demand modeling after receiving a dispatching request of the cloud service center and comprises a fertilizer applying model and a water and fertilizer regulating and control module. The processing warehouse logistics real-time monitoring module conducts agricultural product processing and warehouse and logistics information real-time monitoring after receiving the dispatching request of the cloud service center. The terminal demonstration platform is a things-internet demonstration platform containing field crop information, facility greenhouse information and agricultural material information. By means of the agricultural things-internet platform architecture, real-time monitoring in the agricultural production process can be achieved, and the agricultural production and management fine management level is improved.
Description
Technical field
The present invention relates to technical field of agricultural information, particularly a kind of agriculture platform of internet of things framework.
Background technology
China is large agricultural country, developing agricultural Internet of Things to building modern agriculture, improve overall productivity in agriculture, ensure agricultural product effective supply and Quality Safety, the revolutionary change of initiation agricultural development mode, build new village economic structure and increase farmers' income, significant.Current China agricultural Internet of Things develops the difficulty that faces and bottleneck problem is: agriculture production environment is changeable, information element is difficult to large area, low cost, obtain fast and accurately, agricultural production process disperses, heterogeneous, isomery, magnanimity, distributed large data processing technique disappearance; Agricultural production main body is complicated, and the ever-changing active of demand catches difficulty.And, existing scheme more attention is the safety problem of Internet of Things, fewer concern is to the monitoring of application service, and it is not strong to the specific aim of agriculture Internet of Things, the Comparison of Management poor efficiency of internet of things equipment information and inconvenient, platform cannot realize long-range management and supervision, and function is relatively scattered, lacks a scheme integrated.Enforcement due to agriculture Internet of Things region engineering must observe total factor, overall process and system-wide " three is complete " idea of development, total factor, overall process and total system implement the typical apply that agriculture Internet of Things engineering is large user, large data, Iarge-scale system, so in the face of above bottleneck problem, the agriculture platform of internet of things framework of brand-new integration must be set up.
Summary of the invention
The present invention is directed to existing agriculture technology of Internet of things Problems existing, a kind of novel agriculture platform of internet of things framework is provided, set up cloud data center according to the feature of agricultural data resource, utilize cloud service technology to realize unified plan and the management and dispatching of extensive agriculture Internet of Things service application.This agriculture platform of internet of things framework can realize Real-Time Monitoring in agricultural production process and Long-distance Control, improve Agriculture production and management fine-grained management level, have can reasonable employment agricultural resource, reduce production cost, improve the ecological environment, increase the advantages such as agricultural benefit.
Technical scheme of the present invention is as follows:
A kind of agriculture platform of internet of things framework, is characterized in that, comprises the agricultural data resources integration module, system specialty supporting module and the terminal Demonstration Platform that connect successively,
Described agricultural data resources integration module comprises interconnective cloud data center, cloud computing center and cloud service center, also comprise Agricultural Information and obtain center and several agricultural data resource databases be connected with cloud data center, described Agricultural Information obtains center and obtains multi-source heterogeneous data from the collection of corresponding agricultural data resources measurement equipment, and be stored to corresponding agricultural data resource database by gathering the multi-source heterogeneous data obtained, described cloud data center is based on agricultural industry dimension, agricultural varietie dimension and agricultural production process dimension are set up and are formed the agricultural data of consolidation form by carrying out isomery mapping and Data Fusion to multi-source heterogeneous data, described cloud computing center carries out virtualization storage and data mining by cloud computing technology to agricultural data, the agriculture Internet of Things service that described cloud service center is disperseed according to the result of calculation unified plan isomery of cloud computing center and adopt Dynamic Description Logic carry out the analysis scheduling of agricultural data resource and hardware resource scheduling and send dispatch request to system specialty supporting module,
Described system specialty supporting module comprises the lean product Decision Control module that is all connected with cloud service center and processes warehouse logistics real-time monitoring module; Described lean product Decision Control module is receiving the laggard Mobile state Requirements Modeling of dispatch request of cloud service center, comprises utilizing fertilizer applications decision support technique and in conjunction with the Fertilization Model of local conditions and phasic development Index Establishment and the water-fertilizer conditioning model that utilizes facilities vegetable the Integration of Water into Fertilizer to set up; Described processing warehouse logistics real-time monitoring module carries out the real-time monitoring of processing of farm products, storage and logistics information after the dispatch request receiving cloud service center;
Described terminal Demonstration Platform is for comprising field crop information, the Internet of Things Demonstration Platform of facility plastic greenhouse information and means of agricultural production information, described terminal Demonstration Platform input parameter thus the lean product Decision Control module of calling system specialty supporting module or processing warehouse logistics real-time monitoring module, described lean product Decision Control module is called corresponding model according to the input parameter of terminal Demonstration Platform and is carried out calculating and in conjunction with agricultural profession knowledge, the model calculation be back to the display of terminal Demonstration Platform, real-time monitored results is back to the display of terminal Demonstration Platform by described processing warehouse logistics real-time monitoring module.
Described agricultural data resource database comprises soil testing and fertilizer recommendation database, agricultural weather database, land for growing field crops spatial database, Agricultural Geography resource database, agricultural plant protection database and history data store database.
Described cloud data center also carries out autopolymerization process to multi-source heterogeneous data and process is excavated in data cleansing, forms the agricultural data of consolidation form, and forms agriculture Internet of Things numerical map.
Described lean product Decision Control module comprises land for growing field crops and surveys soil formula and fertilising module and facilities vegetable water-fertilizer conditioning and dispenser decision-making module, described land for growing field crops is surveyed soil formula and is set up the inverse model of agricultural land soil fertility with fertilising module and generate soil fertility distribution plan, then on the basis of crop simulation models and agriculture specialist system, utilize fertilizer applications decision support technique and in conjunction with local conditions and phasic development Index Establishment Fertilization Model, form the fertilizer application formula being applicable to different Production Regional and Different Crop kind; Described facilities vegetable water-fertilizer conditioning and dispenser decision-making module utilize facilities vegetable the Integration of Water into Fertilizer to set up water-fertilizer conditioning model based on industrialized agriculture planting information monitor network, formulate Cultural plan.
Described system specialty supporting module also comprises means of agricultural production agricultural product quality trace back block, described means of agricultural production agricultural product quality trace back block utilizes digital encrypted bar code technology to set up quality safety and reviews model, described means of agricultural production agricultural product quality trace back block is called described quality safety according to the input parameter of terminal Demonstration Platform and is reviewed model, and the model calculation is back to the display of terminal Demonstration Platform.
Described quality safety is reviewed model and is comprised dish fruit quality safety and review model, grain and oil quality safe tracing model and chemical fertilizer and to trace to the source false proof model, described means of agricultural production agricultural product quality trace back block also comprises means of agricultural production agricultural product quality administration module, described means of agricultural production agricultural product quality administration module utilizes digital encrypted bar code technology to carry out GIS quality safety certification supervision, and described means of agricultural production agricultural product quality administration module is connected with terminal Demonstration Platform.
Described processing warehouse logistics real-time monitoring module comprises processing of farm products detection module and means of agricultural production storage intelligent monitored control module, described processing of farm products detection module is all connected with terminal Demonstration Platform with means of agricultural production storage intelligent monitored control module, described processing of farm products detection module utilizes dollying technology and Long-distance Transmission Technologies to realize the Real-Time Monitoring in Processing Farm Produce, and utilizes HACCP technology analyze the harm in processing of farm products technique and determine to affect the critical control point of quality of agricultural product; Means of agricultural production storage intelligent monitored control module adopts planar bar code technology to put to the means of agricultural production the real-time monitoring that endowed association and the collection of outbound bar code realize means of agricultural production storage information in storage.
Described processing warehouse logistics real-time monitoring module also comprises Logistic Scheduling module and logistics monitoring module, described Logistic Scheduling module is all connected with terminal Demonstration Platform with logistics monitoring module, described Logistic Scheduling module carries out the Logistic Scheduling of the means of agricultural production and agricultural product based on GIS technology and IDSS technology, described logistics monitoring module carries out the real-time monitoring of Cold Chain Logistics information based on GPS technology and wireless communication technology.
Described terminal Demonstration Platform comprises field crop Internet of Things Demonstration Platform, facility plastic greenhouse Internet of Things Demonstration Platform and agricultural machinery means of agricultural production Internet of Things Demonstration Platform, each assembly in described terminal Demonstration Platform is all connected with each module in system specialty supporting module, described field crop Internet of Things Demonstration Platform comprises field soil fertility aware platform, fertilization compositions based on earth measurement platform, grain processing environmental monitoring platform and grain and oil safe tracing platform, described facility plastic greenhouse Internet of Things Demonstration Platform comprises greenhouse-environment aware platform, water-fertilizer conditioning platform and dish fruit quality safety trace platform, described agricultural machinery means of agricultural production Internet of Things Demonstration Platform comprises agricultural material product quality tracing platform and means of agricultural production supply chain service platform.
Described Agricultural Information obtains center and is provided with agriculture internet of things sensors communication interface, is received obtain multi-source heterogeneous data from the collection of corresponding agricultural data resources measurement equipment by described agriculture internet of things sensors communication interface.
Technique effect of the present invention is as follows:
Agriculture platform of internet of things framework provided by the invention, comprise the agricultural data resources integration module connected successively, system specialty supporting module and terminal Demonstration Platform, agricultural data resources integration module comprises cloud data center, cloud computing center and cloud service center, Agricultural Information obtains center and several agricultural data resource databases, obtain center by Agricultural Information and obtain multi-source heterogeneous data from the collection of corresponding agricultural data resources measurement equipment, realize the quick obtaining of Agricultural Information, and be stored to corresponding agricultural data resource database by gathering the multi-source heterogeneous data obtained, the form of expression of multi-source heterogeneous data is generally the data of various different-format, as word, video, webpage etc., based on agricultural industry dimension, agricultural varietie dimension and agricultural production process dimension set up cloud data center, the multi-source heterogeneous data of cloud data center to different-format carry out the agricultural data of isomery mapping and Data Fusion formation consolidation form, for system specialty supporting module provides shared Data support, the agriculture Internet of Things service disperseed according to the result of calculation unified plan isomery of cloud computing center by cloud service center after cloud computing center carries out cloud computing and adopt Dynamic Description Logic carry out the analysis scheduling of agricultural data resource and hardware resource scheduling and send dispatch request to system specialty supporting module, for system specialty supporting module provides middleware and application system support.Lean product Decision Control module in system specialty supporting module is at the laggard Mobile state Requirements Modeling of dispatch request receiving cloud service center, comprise and utilize fertilizer applications decision support technique and in conjunction with the Fertilization Model of local conditions and phasic development Index Establishment and the water-fertilizer conditioning model that utilizes facilities vegetable the Integration of Water into Fertilizer to set up, can reasonable employment agricultural resource, realize Agriculture production and management fine-grained management; Processing warehouse logistics real-time monitoring module in system specialty supporting module carries out the real-time monitoring of processing of farm products, storage and logistics information after the dispatch request receiving cloud service center, achieves the Real-Time Monitoring in agricultural production process and Long-distance Control.Agricultural data resources integration module in the present invention's agricultural platform of internet of things framework is as " total factor " agricultural data resources integration center, with " total system " system specialty supporting module and " overall process " terminal Demonstration Platform cooperating, integrate for agriculture Internet of Things, under " three is complete " idea of development of agriculture Internet of Things engineering, realize the Real-Time Monitoring in agricultural production process and Long-distance Control, improve Agriculture production and management fine-grained management level, solve the Comparison of Management poor efficiency of agriculture internet of things equipment information that prior art exists and platform cannot realize long-range management and supervision and the relatively scattered problem of function, having can reasonable employment agricultural resource, reduce production cost, improve the ecological environment, increase the advantages such as agricultural benefit.
Accompanying drawing explanation
Fig. 1 is the structural representation of the present invention's agricultural platform of internet of things framework.
Fig. 2 is the preferred structure schematic diagram of the present invention's agricultural platform of internet of things framework.
Fig. 3 is the fundamental diagram that soil formula and fertilising module are surveyed in land for growing field crops.
Fig. 4 is the workflow diagram of means of agricultural production storage intelligent monitored control module.
Fig. 5 is the workflow diagram of means of agricultural production commercial quality trace back block.
In figure, each label lists as follows:
1-pipeline; 2-automatic labeling machine; 3-wireless access node; 4-antenna; 5-RFID reader; 6-vehicle mobile terminals; 7-loads and unloads personnel; 8-stacking personnel.
Embodiment
Below in conjunction with accompanying drawing, the present invention will be described.
The present invention relates to a kind of agriculture platform of internet of things framework, its structure as shown in Figure 1, comprise the agricultural data resources integration module connected successively, system specialty supporting module and terminal Demonstration Platform, wherein, agricultural data resources integration module comprises interconnective cloud data center, cloud computing center and cloud service center, also comprise Agricultural Information and obtain center and several agricultural data resource databases be connected with cloud data center, Agricultural Information obtains center and obtains multi-source heterogeneous data from the collection of corresponding agricultural data resources measurement equipment, and be stored to corresponding agricultural data resource database by gathering the multi-source heterogeneous data obtained, based on agricultural industry dimension, the cloud data center that agricultural varietie dimension and agricultural production process dimension are set up is by carrying out the agricultural data of isomery mapping and Data Fusion formation consolidation form to multi-source heterogeneous data, cloud computing center carries out virtualization storage and data mining by cloud computing technology to agricultural data, and the agriculture Internet of Things service disperseed according to the result of calculation unified plan isomery of cloud computing center by cloud service center and adopt Dynamic Description Logic to carry out the analysis scheduling of agricultural data resource and hardware resource is dispatched and sends dispatch request to system specialty supporting module.System specialty supporting module comprises the lean product Decision Control module that is all connected with cloud service center and processes warehouse logistics real-time monitoring module; Lean product Decision Control module is receiving the laggard Mobile state Requirements Modeling of dispatch request of cloud service center, comprises utilizing fertilizer applications decision support technique and in conjunction with the Fertilization Model of local conditions and phasic development Index Establishment and the water-fertilizer conditioning model that utilizes facilities vegetable the Integration of Water into Fertilizer to set up; Processing warehouse logistics real-time monitoring module carries out the real-time monitoring of processing of farm products, storage and logistics information after the dispatch request receiving cloud service center.Terminal Demonstration Platform is for comprising field crop information, the Internet of Things Demonstration Platform of facility plastic greenhouse information and agricultural machinery means of agricultural production information, terminal Demonstration Platform input parameter thus the lean product Decision Control module of calling system specialty supporting module or processing warehouse logistics real-time monitoring module: when calling lean product Decision Control module, lean product Decision Control module is called corresponding model according to the input parameter of terminal Demonstration Platform and is carried out calculating and in conjunction with agricultural profession knowledge, the model calculation be back to the display of terminal Demonstration Platform, when calling processing warehouse logistics real-time monitoring module, real-time monitored results is back to the display of terminal Demonstration Platform by processing warehouse logistics real-time monitoring module.
Fig. 2 is the preferred structure schematic diagram of the present invention's agricultural platform of internet of things framework.Agricultural Information in this structure obtains center and obtains multi-source heterogeneous data from the collection of corresponding agricultural data resources measurement equipment, it is sensing layer that Agricultural Information acquisition center can be regarded as, by the integrated various kinds of sensors product being applicable to agriculture feelings, realize the quick obtaining to magnanimity informations such as water and soil compression ring border and animals and plants body such as land for growing field crops, booth, animal and veterinary, fishery.Can be specifically by mobile interchange equipment such as mobile phones; agricultural environment and body sensors, agricultural remote sensing, space GIS and GPS etc., extensive macroscopic view, the microscopic information obtaining agricultural production managerial demand; comprise the growth of cereal crop seedlings, soil moisture content, disease pest and weed, warm light be wet, the key element such as water and soil gas.Agricultural Information obtains center and is provided with agriculture internet of things sensors communication interface, received by agriculture internet of things sensors communication interface and connect corresponding agricultural data resources measurement equipment and specifically can connect land for growing field crops fertility and heavy metal detection system, facility plastic greenhouse environmental monitoring system, industrial aquaculture environmental monitoring system, Agricultural Water heavy metal detection system and plant ontology information rapid detection system etc., realize Agricultural Information and effectively obtain fast.The form of expression of the multi-source heterogeneous data obtained is generally the data of various different-format, as word, video, webpage etc., Agricultural Information obtains center and is stored to corresponding agricultural data resource database by gathering the multi-source heterogeneous data obtained, several agricultural data resource databases can be soil testing and fertilizer recommendation databases, agricultural weather database, land for growing field crops spatial database, water system spatial database, Agricultural Geography resource database, agricultural plant protection database, agricultural profession cooperative association and agriculture-related enterprise's data etc. storehouse, be used for storing Agricultural Information and obtain the multi-source heterogeneous data that send over of center, also the history data store database of storing history data can be comprised, as stored the Chinese Academy of Sciences, weather bureau, the agricultural history data such as agricultural universities and colleges.
Other assembly in agricultural data resources integration module except Agricultural Information acquisition center forms resource layer jointly, based on cloud computing technology, completes the storage of sensing layer mass data, management, excavation, analysis and shares.This agricultural data resources integration module can be shared more than the storage environment of 1PB and more than 2000 CPU cores, TFlops high-performance computing environment.The agricultural data resource of cloud data center Integrated Agriculture acquisition of information central transmission, for heterogeneous, isomery, in time, becomes, redundancy, the data characteristicses such as magnanimity, adopt W3C ID standard and China's agricultural data standard, based on agricultural industry dimension, agricultural varietie dimension and agricultural production process dimension carry out system architecture, autopolymerization process is carried out to multi-source heterogeneous data, isomery maps, data fusion, the data handling procedures such as process are excavated in data cleansing, form the agricultural data of consolidation form, and form agriculture Internet of Things numerical map, for system specialty supporting module provides shared Data support.When carrying out system architecture, can arrange X-axis is agricultural industry dimension, and each longitudinal profile represents the agriculture platform of internet of things framework of overall process such as each agricultural industry such as plant husbandry, animal and veterinary, fishery and agricultural machinery, the means of agricultural production etc. respectively; Y-axis is agricultural varietie dimension, and each horizontal section represents the agriculture platform of internet of things framework of the concrete kind overall process such as wheat, fish, pig respectively; Z axis is agricultural production process dimension, and each surface level represents the system-wide agriculture platform of internet of things frameworks of each production run such as agricultural production, processing, storage, logistics, transaction, consumption respectively.The content of cloud Constructing data center can comprise: Agricultural Geography resource data is built, and comprises satellite remote sensing date, To Airborne Data Classification, video monitoring data near the ground, multi-medium data and other image data; Agricultural weather data are built, and comprise living resources data, agricultural soil data, agricultural weather data, agriculture hydrographic data etc.; Soil testing and fertilizer recommendation data are built, and comprise farmland massif information, agricultural cultivating mode data, countryside tax system data, crop nutrition content demand data, farmland operation prescription data, agricultural inputoutput data etc.; Plant protection data engineering is built, and comprises agricultural pest data, agriculture disaster caused by a windstorm data, Agricultural Flood data, agricultural drought disaster data, crop varieties data, Crop growing stage data, crop performance data, plant height data, plant spacing data, crop yield data etc.; Agricultural profession cooperative association and agriculture-related enterprise's data are built, and set up the title of cooperative society of agribusiness and agriculture-related enterprise, address, longitude and latitude, manage the data such as agricultural product type.Agricultural data resources integration module essence is " total factor " agricultural data resources integration center.
Cloud computing center carries out virtualization storage and data mining by cloud computing technology to agricultural data, specifically according to plantation, agricultural machinery, the sector application demands such as the means of agricultural production, be support with cloud computing technology, unified plan series virtual machine, to magnanimity, the agricultural data of isomery carries out safety, efficient virtualization storage, process, integrate and analyze, the value that degree of depth mining data is potential, formed the useful information of Agriculture Information Service and knowledge, for mass users provides quick, personalized agricultural data service, and realize existing storage and computing resource sharing, for system specialty supporting module provides hardware resource to support.The hardware configuration that cloud data center and cloud computing center carry out storing and calculating can comprise user management master server and the user management Subscriber Management System from server, comprise the high-performance elastic computing system of several computing node servers, comprise the large-scale distributed document storage system etc. of several Archive sit servers.
The agriculture Internet of Things service that cloud service center is disperseed according to the result of calculation unified plan isomery of cloud computing center and adopt Dynamic Description Logic carry out the analysis scheduling of agricultural data resource and hardware resource scheduling and send dispatch request to system specialty supporting module.Particularly, cloud service center is support with cloud computing center, organic integration is planted, animal and veterinary, fishery and agriculture-related enterprise and the Chinese Academy of Sciences, the various application system of the units such as academy of agricultural sciences, realize not commensurate, the cooperation with service of different application systems and Integration Services, realize the unified plan of extensive service system, registration management and effectively scheduling, the extensive agriculture Internet of Things service of Unify legislation and the dispersion of deployment isomery, guarantee extensive service team network, calculate, the security stored, high reliability, extensibility requirement, meet the concurrent request that millions agricultural user is ten hundreds of.Dispose the services such as agriculture Internet of Things vertical search engine, interactive voice robot and lean product Decision Control, processing warehouse logistics is monitored in real time, means of agricultural production agricultural product quality is reviewed, monitors and held a conference or consultation the total system professional service such as command, for the professional supporting module of system provides middleware and application system support.
Wherein, the extensive hardware resource scheduling of cloud service center provides basic resource with method of service, such as: calculating, storage, network etc., is the basis of other level service, provides the infrastructure services not comprising complex software stack to user.Hardware resource is provided by Intel Virtualization Technology and corresponding management control module.The service scenario of the every platform computing node of real-time monitoring, by mathematical methods such as statistical forecasts, increase exactly or close computing node and meet application request at peak value or low ebb to resource requirement, by the platform scale stretching mechanism of this dynamic self-adapting, reduce data analysis cost and energy consumption.User for different stage provides response speed and the treatment scale of (QOS) data analysis of appropriate level service quality and information retrieval, extensive service door is monitored in real time, larger transmission delay may be produced and take comparatively macroreticular bandwidth, design a kind of tree data structure, upgrade those and use frequent resource, minimize monitoring expense.Large-scale data resource access and the scheduling of cloud service center are the Hadoop clusters (software architecture of distributed treatment) by the MapReduce computation module that provides support, and perform MapReduce concurrent data retrieval and analysis task.Set up the execution forecast model of common MapReduce task type, study the adjustment of the Optimal Decomposition of MapReduce task, virtual machine task matching and dynamic resource, improve Information Retrieval Efficiency, significantly improve Data Analysis Services scale and response speed.The extensive Service Source scheduling of cloud service center can adopt the OWL-S (Web service Ontology Language) based on agriculture field body to describe Heterogeneous service Interface Semantic.OWL-S be used for descriptive system service function, attribute and interface, call the descriptions such as port; Wherein involved agricultural conception and semanteme thereof are by agriculture field ontology describing.Adopt Dynamic Description Logic (DDL) as serve for agriculture workflow Ontology Modeling language, describe the Services Composition problem of serve for agriculture business process.Function, attribute, parameter etc. due to each service use Agricultural ontology to be described, and the semantic similarity therefore between service can be related to the combination of the semantic similarity between Agricultural ontology concept by service and be calculated.Similarity between this concept has had a lot of ripe algorithm.Meanwhile, can according to the feature of access two calling parties obtain two service between similarity degree.By the weighting (weighting parameters obtains by the study of sample) of these two similarity measures as the final similarity measure between service.Between known service on similarity basis, hierarchical clustering algorithm can be used automatically to build the Ontological concept figure of agricultural intelligent system service, thus the quick discovery of Service supportive.After user submits services request to, carry out dynamic need modeling by system specialty supporting module, user's inquiry is extended for inquiry Ontological concept figure by cloud service center.Query concept figure and service ontology concept map model carry out concept matching.The possibility of result of coupling is the combination of multinomial service, and a lot of service is all potential meets inquiry (semantic similarity is in certain threshold value).Therefore, need to select optimum Services Composition to adapt to the dynamic change of Service Source, application demand, Services Composition is run in reasonable, economic mode.
In embodiment illustrated in fig. 2 system specialty supporting module comprise all be connected with cloud service center lean product Decision Control module, process warehouse logistics real-time monitoring module and means of agricultural production agricultural product quality trace back block.Wherein, lean product Decision Control module comprises land for growing field crops and surveys soil formula and fertilising module and facilities vegetable water-fertilizer conditioning and dispenser decision-making module, processing warehouse logistics real-time monitoring module comprises processing of farm products detection module, the means of agricultural production storage intelligent monitored control module, Logistic Scheduling module and logistics monitoring module, and means of agricultural production agricultural product quality trace back block comprises dish fruit quality safety trace back block, grain and oil quality safe tracing module, chemical fertilizer trace to the source false proof module and means of agricultural production agricultural product quality administration module.The modular assembly of each sub-level in system specialty supporting module is all connected with cloud service center.
Lean product Decision Control module in system specialty supporting module is at the laggard Mobile state Requirements Modeling of dispatch request receiving cloud service center, and the fine-grained management for agriculture platform of internet of things framework of the present invention provides basis.Wherein, the fundamental diagram of soil formula and fertilising module is surveyed as shown in Figure 3 in land for growing field crops, by satellite remote sensing, agriculture sensor, survey the fusion of the multiple dimensioned isomeric datas such as native data, set up the inverse model of agricultural land soil fertility, generate soil fertility distribution plan, solve large-scale low-cost soil fertility and obtain problem.On the basis of agricultural information system, crop simulation models and agriculture specialist system, utilize Optimum program decisions supporting technology and set up Fertilization Model (it is Optimum model that this Fertilization Model also can be regarded as) in conjunction with local conditions and corresponding phasic development index etc.On the basis generating soil fertility distribution plan, according to domain-specialist knowledge and Fertilization Model, form the Tree Precise Fertilization prescription being applicable to different Production Regional and Different Crop kind, realize Tree Precise Fertilization.
Facilities vegetable water-fertilizer conditioning and dispenser decision-making module utilize facilities vegetable the Integration of Water into Fertilizer to set up water-fertilizer conditioning model based on industrialized agriculture planting information monitor network, formulate Cultural plan, realize facilities vegetable liquid manure Optimum Regulation and meticulous dispenser decision support.Concrete enforcement can be based on sensor, sensing network, mobile communication network technology, integrated tomato, the facility plastic greenhouse environment such as cucumber, plant body, disease and pest watch-dog and data transmission set, build up by main control computer, acquisition controller, network adapter, agriculture field specialty series sensor, outdoor weather station, the industrialized agriculture planting information monitor network of video capture device, realize the humiture in agricultural product growing environment, illumination, composition of air, soil pH value, the data such as EC value and soil nutrient gather, transmission, shown in real time by various instrument and meter or participate in control automatically as the parameter automatically controlled, ensure crops have one good, suitable growing environment, reach volume increase, oil recovery enhancement, the growth regulation cycle, heighten the object of economic benefit.Apply based on the facilities vegetable intelligence ring control techniques of radio sensing network, intelligent management and decision system, realize the automatic monitoring of veterinary antibiotics growing environment in warmhouse booth and remote transmission, data acquisition and processing (DAP), facilities vegetable the Integration of Water into Fertilizer is utilized to set up water-fertilizer conditioning model, realize the intelligent control of facilities environment, vegetable growth Simulation and prediction, the formulation of Cultural plan and optimization.Take Demonstration Base as Demonstration Application carrier, set up the real-time data acquisition transmission based on the facility cultivation crop growth environment factor (soil temperature and humidity, aerial temperature and humidity, intensity of illumination, CO2 concentration) of sensor network technology and analysis and management system, complete the data acquisition system (DAS) network service platform based on web technology and test figure Web Enquiry System simultaneously.On the basis of established facilities vegetable, fruit birth pulse and Expert System Study achievement, further collection facility agricultural principal item cultivation experience, sets up and improves installment agriculture growth knowledge base and intelligent management system; Emphasis launches further investigation for the facilities vegetable intelligent management system based on radio sensing network, and carry out facilities vegetable intelligent management, the gordian technique realized comprise to store after facilities environment data acquisition, data acquisition and use, remote data Real-Time Monitoring, facilities environment regulation and control and vegetables birth pulse and prediction and optimum Cultural plan design etc.
Processing warehouse logistics real-time monitoring module in system specialty supporting module carries out the real-time monitoring of processing of farm products, storage and logistics information after the dispatch request receiving cloud service center.Wherein, processing of farm products detection module utilizes dollying technology and Long-distance Transmission Technologies to realize the Real-Time Monitoring in Processing Farm Produce, and utilizes HACCP technology analyze the harm in processing of farm products technique and determine to affect the critical control point of quality of agricultural product.Specific embodiment can be adopt intelligent control system, by surveillance application dollying technology and Long-distance Transmission Technologies, realizes Real-Time Monitoring that is artificial in rice process, semi-automatic and automation mechanized operation parameter.In rice process, inevitably to touch various allogenic material, such as water source, various wrappage etc., by conjunction with RFID, carry out discernible real time data releasing storage, the allogenic material that complete documentation agricultural product are contacted in process.Realize the networking of process, digitizing, unitized and standardized while, ensure the security of agricultural product finished product.The classification process technology of concrete rice typically refers to, by the difference etc. of rice kernel, unit weight, structural mechanics, a collection of rice is divided into several grades, then adopts different process and technological parameter processing according to the character of each grade.The classification of rice, polishing, look choosing and conformability processing are met the need of market to raising rice quality and are played an important role, for different classes of rice, determine the leading indicator determining that its quality grade divides, by the acquisition testing to this index, building database, reaches the underproof object of eliminating, quality being improved preferably to its added value of product as intensive processing raw material.Utilize HACCP technology to analyze harm in processing of farm products technique, determine critical control point wherein and Key Limit Value.HACCP payes attention to the analysis and control of the links of food enterprise business activities, makes it to be associated with food security.From the purchasing of raw materials, the storage being transported to raw produce, to production and processing with do over again and reprocess, pack, warehouse stores, to delivery and the transport of last finished product, each link in whole business process through hazard analysis (Hazard Analysis), and will formulate critical control point (Critical Control Points).Determine the key point affecting quality of finished, major influence factors is wherein controlled and improves, improve edible quality, thus set up the HACCP technology of holonomic system in processing technology.
Means of agricultural production storage intelligent monitored control module adopts planar bar code technology to put to the means of agricultural production the real-time monitoring that endowed association and the collection of outbound bar code realize means of agricultural production storage information in storage.This module synthesis uses Quick Response Code, mobile PDA terminal, internet and radio network technique, carries out endowed association by the warehouse-in link at product; Outbound link carries out bar code collection; Supply and marketing cooperative inspector can inquire about the flow direction of product; Consumer carries out Antiforge inquiry after point of purchase; Thus formed product flow to chain.System is automatically carried out data statistics and is gathered and form related statements, for the decision-making of enterprise provides support.As shown in Figure 4, further, shown in Fig. 4 is the flow process that the staging area code before warehouse-in associates to the workflow diagram of this means of agricultural production storage intelligent monitored control module:
1) need before warehouse-in to set up warehouse-in task at warehouse-in associated control system in advance, be once task of putting in storage by each every kind warehouse-in of every means of agricultural production manufacturing enterprise, when setting up task, need the warehouse-in kind selecting means of agricultural production manufacturing enterprise and correspondence;
2) after handling personnel 7 unload around vehicle, directly enter the pipeline 1 of association, under warehouse-in associated control system controls, Bag fertilizer is being carried in way by automatic labeling machine 2 automatic labeling, complete endowed work, and system is according to product buttress case packing ratio (as: often pile up neatly 50 bags, packaging ratio is then 1: 50) Auto-grouping data, provide data basic for next step associates with pallet;
3) after automatic labeling grouping by stacking personnel 8 manual stacking, until full buttress;
4) fork truck is provided with antenna 4 and vehicle mobile terminals 6, be connected with warehouse-in associated control system by wireless access node 3, the RFID reader 5 when buttress got by fork truck on fork truck reads pallet RFID label tag automatically, and automatic sequentially association on pallet wraps code;
5) pallet and bag code incidence relation have been set up.
Endowed and finished product after establishing incidence relation can have been put in storage, and at product warehousing, district prints bar code online, in order piling, and bar code and label tray are bound, and generates storage bill.Specific as follows:
1), after pallet got by fork truck, guide to send in LED display and vehicle mobile terminals 6 and specify storage district;
2) when sending to appointment storage district, whether RFID is consistent with system directs, inconsistent for system meeting automatic comparison warehouse, reports to the police;
3) until sent to, single mount dish warehouse-in terminates;
4), after once putting service ending in storage, need uploading system and automatically generate storage bill.
Logistic Scheduling module carries out the Logistic Scheduling of the means of agricultural production and agricultural product based on GIS technology and IDSS technology.Logistic Scheduling module can provide following support based on GPS/GIS/IDSS technology: logistic resources configuration and management; Logistics distribution management and running; Logistics business dynamic monitoring; Logistics information is inquired about; Logistics Real-time Decision is supported.GPS is mainly used in tracking and the three-dimensional navigation of agricultural product haulage vehicle in agricultural product logistics field.This module can follow the tracks of the traffic condition of goods stock and goods at any time, makes the owner of cargo and car owner understand position and the state of vehicle and goods at any time, ensures effective monitoring and the fast turn-around of whole logistics progress.The geodata function utilizing GIS powerful solves the problems such as Location Selection of Logistics Distribution Center, dispensing model construction, distribution route planning and optimization in conjunction with IDSS intelligent decision.The advanced technologies such as this module integration RFID, GPS/GMS, GIS, IDSS and kinds of artificial intelligent algorithm, intelligentized treatment and analysis can be carried out to the supply-demand information gathered and logistics information, namely based on knowledge analysis, carry out information communication and decision support, and provide explanation to decision process.For production unit, suggestion production decision can be provided.For marketing unit, suggestion procurement scheme can be provided.For certain means of agricultural production concrete or agricultural product, the optimal scheduling allocation plan of resource can be provided.
Logistics monitoring module carries out the real-time monitoring of Cold Chain Logistics information based on GPS technology and wireless communication technology.This logistics monitoring module can carry out the Cold Chain Logistics intelligent monitorings such as egg, milk, meat, dish, and the transport monitoring be made up of GIS, GPS, GPRS/3G technology can be divided into three zones module, that is: car-mounted terminal module, mobile communication system and Surveillance center.The satellite-signal that car-mounted terminal is received by GPS, environmental information is gathered by Temperature Humidity Sensor, through calculating packing process, data message is sent back to central information gateway by cordless communication network (GPRS/3G), central information gateway receives the data from board units passback center, and is distributed to corresponding monitor client according to the vehicle affiliated unit of center service system.Monitor client software, according to the data uploaded, under the support of Geographic Information System, through electronic map match technology, map shows the information such as position, state of vehicle in real time.Master station can be monitored transport whole process, and sends instruction in real time to driver.
Means of agricultural production agricultural product quality trace back block in system specialty supporting module utilizes digital encrypted bar code technology to set up quality safety and reviews model, trace to the source chemical fertilizer that false proof module sets up of the grain and oil quality safe tracing model that dish fruit quality safety reviews model, grain and oil quality safe tracing module is set up that each model can have dish fruit quality safety trace back block to set up, chemical fertilizer is traced to the source false proof model, from another angle, also means of agricultural production agricultural product quality trace back block can be divided into means of agricultural production commercial quality trace back block, agricultural product quality trace back block and means of agricultural production agricultural product quality administration module.The model calculation according to the correlation model of the input parameter call establishment of terminal Demonstration Platform, and is back to the display of terminal Demonstration Platform by described means of agricultural production agricultural product quality trace back block.The means of agricultural production commodity codes such as chemical fertilizer, agricultural chemicals, seed can build with reference to use EPC coding scheme, EPC code is the coding of the marking articles on electronic tag, it records the global unique identification of each article, and Ye Shi manufacturer is in process of production to the unique identification that article are stamped.EPC code is made up of header, vendor identification code, object classification code and sequence number etc. 96 or 64 bit data field.
Fig. 5 is the workflow diagram of means of agricultural production commercial quality trace back block, at production link: adopt RFID label tag, the various information in record means of agricultural production production run, as agricultural material product EPC information, and shipment information etc.Carry out certification between RFID label tag and read write line, other read write line can not read and write this type of RFID label tag, can prevent from like this copying, distorting RFID data.Be encrypted during written information write, prevent from forging RFID data.In order to reduce costs, the large packaging of agricultural material product adopts RFID label tag, and each inner wrapping adopts two-dimension code label, and associates.After authentication, information upload to central database, as monitoring and the foundation of reviewing.Intermediate links: the information verifying a upper link, by RFID, GIS, logistics is supervised, and by new information, as loglstics enterprise information, the write RFID label tag such as information of vehicles, departure place, destination, goods batch information and central database, enable information be delivered to next link of supply chain.This makes it possible to record the means of agricultural production commodity in transportation and monitor, ensure that the continuity of information, realize the tracking of means of agricultural production commodity.Sales section: verify a upper link information, carries out information transmission and statistics by RFID, Quick Response Code, Radio Transmission Technology, and information write RFID label tag and the central database such as dealer's information, shipment to be stocked up.Consumer stage: consumer passes through the two-dimension code image on the means of agricultural production inner wrapping of internet or mobile phone shooting, be sent to means of agricultural production commercial quality trace back block, after this module receives picture, inquire about the whole circulation information of these means of agricultural production commodity and return to consumer, thus the authenticity of checking means of agricultural production commodity.The information of supply chain upstream can be obtained in each link of means of agricultural production supply of commodities chain from RFID label tag, and write new information, once problem has appearred in certain link, cause disappearance or the mistake of information, will be found by the link in downstream at once; And in reviewing, by RFID label tag, in supply chain, the information of each node is all linked with one another, as long as so with the unique identification (EPC coding) in RFID label tag, just can upwards review step by step, until find the target of reviewing.
Agricultural product quality trace back block is based on cloud data center and cloud service center, and with website, supermarket touch-screen, SMS, mobile telephone scanning two-dimensional bar code for means, the product realized under different condition is traced to the source.Consumer is by different carriers, and scanning or input product traceability code, understand product and each session information of supply chain.In website is reviewed, consumer by inputting the product back-tracing number reviewed on label on website, and product information, company information, environmental information, production video information, Detection Information etc. are presented at and review results page by system; In note is reviewed, take GSM network as communication media, consumer is by being sent to the service of reviewing number by product back-tracing number by SMS, and system auto-returned is correlated with tracing information; In touch-screen is reviewed, develop in field, each large supermarket be suitable for review touch-screen system, realize touch trace-back operation; In mobile telephone scanning two-dimensional bar code is reviewed, user is reviewed by the Quick Response Code (QR code) on scanning Product labelling.
Means of agricultural production agricultural product quality administration module utilizes digital encrypted bar code technology to carry out GIS quality safety certification supervision, and described means of agricultural production agricultural product quality administration module is connected with terminal Demonstration Platform.Particularly, accessible site has resource, the Agricultural product ID supervisory systems for main contents such as utilize digital encryption 2D bar code technology, for the purpose of the agricultural product manufacturing enterprise certification of exploitation collection, agricultural product supervision, identify with terminal recognition supervision, SMS, identify on the net.By the supervision of relevant functional departments of government, agricultural law enforcement at different levels and the all-round popularization of engineering department, enterprise, the playing an active part in of consumer, can make market access rule implement effectively, Agricultural product ID authority is effectively strengthened, and strengthens relevant functional department to the ability to supervise of agricultural product.During Agricultural product ID supervision, after enterprise (base) files an application, bar code can enter generator program; Fix information is correlated with through a kind of unrecognizable encrypt data of cryptographic algorithm generation product in supervision data center, utilizes generation software to be generated corresponding two-dimensional bar code, carries out bar code unified management; The bar code generated is docked with the resource management system (internal network) of enterprise by refined net passage and is carried out data transmission, enters the direct spray printing of production line on Product labelling.
Terminal Demonstration Platform in embodiment illustrated in fig. 2 comprises field crop Internet of Things Demonstration Platform, facility plastic greenhouse Internet of Things Demonstration Platform and agricultural machinery means of agricultural production Internet of Things Demonstration Platform, and each assembly in terminal Demonstration Platform is all connected with each corresponding module in system specialty supporting module.Wherein, field crop Internet of Things Demonstration Platform comprises field soil fertility aware platform (for user provides field soil fertility quick sensing to apply), fertilization compositions based on earth measurement platform (for user provides fertilization compositions based on earth measurement to apply), grain processing environmental monitoring platform (for user provides grain processing environmental monitoring to apply) and grain and oil safe tracing platform (for user provides grain and oil quality safe tracing to apply), facility plastic greenhouse Internet of Things Demonstration Platform comprises greenhouse-environment aware platform (for user provides greenhouse-environment quick sensing to apply), water-fertilizer conditioning platform (for user provides water-fertilizer conditioning to apply) and dish fruit quality safety trace platform (for user provides dish fruit quality safety to review application), agricultural machinery means of agricultural production Internet of Things Demonstration Platform comprises operation and work information acquisition platform, agricultural material product quality tracing platform (for user provides agricultural material product quality safety to review application) and means of agricultural production supply chain service platform (for user provides means of agricultural production supply chain to serve application).Need for the systematism of agricultural machinery and implement operation, scale, industrialized development; operation and work information acquisition platform integrated agricultural machinery and implement location, the automatic collection of operation and work information, machinery farmer dock with the intelligence of demand and towards the gordian technique such as agricultural machinery and implement Optimized Operation of vast rural area road conditions; realize fully sharing of agricultural machinery and implement resource; cost-saving, enhance productivity.Corresponding sub-platform in terminal Demonstration Platform inputs certain parameter, this parameter is as the corresponding assembly in input parameter calling system specialty supporting module, call correlation model or monitor in real time, the result of the result that model calculates or monitoring is in real time shown to terminal Demonstration Platform as output parameter.
It should be noted that, the system specialty supporting module in the present invention's agricultural platform of internet of things framework and the equal easily extensible of terminal Demonstration Platform, namely may further include other submodule or sub-platform, complete the application service of agriculture other side.The system specialty supporting module of " total system " and the terminal Demonstration Platform of " overall process " form the service layer in system of the present invention jointly, towards each agricultural industries such as plantation, cultivation, the production run such as agricultural production, processing, provide Precision Seeding, essence is executed, precisely control and quality tracing etc. is directly served.
It should be pointed out that the above embodiment can make the invention of those skilled in the art's comprehend, but do not limit the present invention in any way creation.Therefore; although this instructions has been described in detail the invention with reference to drawings and Examples; but; those skilled in the art are to be understood that; still can modify to the invention or equivalent replacement; in a word, all do not depart from technical scheme and the improvement thereof of the spirit and scope of the invention, and it all should be encompassed in the middle of the protection domain of the invention patent.
Claims (10)
1. an agriculture platform of internet of things framework, is characterized in that, comprises the agricultural data resources integration module, system specialty supporting module and the terminal Demonstration Platform that connect successively,
Described agricultural data resources integration module comprises interconnective cloud data center, cloud computing center and cloud service center, also comprise Agricultural Information and obtain center and several agricultural data resource databases be connected with cloud data center, described Agricultural Information obtains center and obtains multi-source heterogeneous data from the collection of corresponding agricultural data resources measurement equipment, and be stored to corresponding agricultural data resource database by gathering the multi-source heterogeneous data obtained, described cloud data center is based on agricultural industry dimension, agricultural varietie dimension and agricultural production process dimension are set up and are formed the agricultural data of consolidation form by carrying out isomery mapping and Data Fusion to multi-source heterogeneous data, described cloud computing center carries out virtualization storage and data mining by cloud computing technology to agricultural data, the agriculture Internet of Things service that described cloud service center is disperseed according to the result of calculation unified plan isomery of cloud computing center and adopt Dynamic Description Logic carry out the analysis scheduling of agricultural data resource and hardware resource scheduling and send dispatch request to system specialty supporting module,
Described system specialty supporting module comprises the lean product Decision Control module that is all connected with cloud service center and processes warehouse logistics real-time monitoring module; Described lean product Decision Control module is receiving the laggard Mobile state Requirements Modeling of dispatch request of cloud service center, comprises utilizing fertilizer applications decision support technique and in conjunction with the Fertilization Model of local conditions and phasic development Index Establishment and the water-fertilizer conditioning model that utilizes facilities vegetable the Integration of Water into Fertilizer to set up; Described processing warehouse logistics real-time monitoring module carries out the real-time monitoring of processing of farm products, storage and logistics information after the dispatch request receiving cloud service center;
Described terminal Demonstration Platform is for comprising field crop information, the Internet of Things Demonstration Platform of facility plastic greenhouse information and means of agricultural production information, described terminal Demonstration Platform input parameter thus the lean product Decision Control module of calling system specialty supporting module or processing warehouse logistics real-time monitoring module, described lean product Decision Control module is called corresponding model according to the input parameter of terminal Demonstration Platform and is carried out calculating and in conjunction with agricultural profession knowledge, the model calculation be back to the display of terminal Demonstration Platform, real-time monitored results is back to the display of terminal Demonstration Platform by described processing warehouse logistics real-time monitoring module.
2. agriculture platform of internet of things framework according to claim 1, it is characterized in that, described agricultural data resource database comprises soil testing and fertilizer recommendation database, agricultural weather database, land for growing field crops spatial database, Agricultural Geography resource database, agricultural plant protection database and history data store database.
3. agriculture platform of internet of things framework according to claim 1 and 2, it is characterized in that, described cloud data center also carries out autopolymerization process to multi-source heterogeneous data and process is excavated in data cleansing, forms the agricultural data of consolidation form, and forms agriculture Internet of Things numerical map.
4. agriculture platform of internet of things framework according to claim 2, it is characterized in that, described lean product Decision Control module comprises land for growing field crops and surveys soil formula and fertilising module and facilities vegetable water-fertilizer conditioning and dispenser decision-making module, described land for growing field crops is surveyed soil formula and is set up the inverse model of agricultural land soil fertility with fertilising module and generate soil fertility distribution plan, then on the basis of crop simulation models and agriculture specialist system, utilize fertilizer applications decision support technique and in conjunction with local conditions and phasic development Index Establishment Fertilization Model, form the fertilizer application formula being applicable to different Production Regional and Different Crop kind, described facilities vegetable water-fertilizer conditioning and dispenser decision-making module utilize facilities vegetable the Integration of Water into Fertilizer to set up water-fertilizer conditioning model based on industrialized agriculture planting information monitor network, formulate Cultural plan.
5. agriculture platform of internet of things framework according to claim 2, it is characterized in that, described system specialty supporting module also comprises means of agricultural production agricultural product quality trace back block, described means of agricultural production agricultural product quality trace back block utilizes digital encrypted bar code technology to set up quality safety and reviews model, described means of agricultural production agricultural product quality trace back block is called described quality safety according to the input parameter of terminal Demonstration Platform and is reviewed model, and the model calculation is back to the display of terminal Demonstration Platform.
6. agriculture platform of internet of things framework according to claim 5, it is characterized in that, described quality safety is reviewed model and is comprised dish fruit quality safety and review model, grain and oil quality safe tracing model and chemical fertilizer and to trace to the source false proof model, described means of agricultural production agricultural product quality trace back block also comprises means of agricultural production agricultural product quality administration module, described means of agricultural production agricultural product quality administration module utilizes digital encrypted bar code technology to carry out GIS quality safety certification supervision, and described means of agricultural production agricultural product quality administration module is connected with terminal Demonstration Platform.
7. agriculture platform of internet of things framework according to claim 1, it is characterized in that, described processing warehouse logistics real-time monitoring module comprises processing of farm products detection module and means of agricultural production storage intelligent monitored control module, described processing of farm products detection module is all connected with terminal Demonstration Platform with means of agricultural production storage intelligent monitored control module, described processing of farm products detection module utilizes dollying technology and Long-distance Transmission Technologies to realize the Real-Time Monitoring in Processing Farm Produce, and utilize HACCP technology analyze the harm in processing of farm products technique and determine to affect the critical control point of quality of agricultural product, means of agricultural production storage intelligent monitored control module adopts planar bar code technology to put to the means of agricultural production the real-time monitoring that endowed association and the collection of outbound bar code realize means of agricultural production storage information in storage.
8. agriculture platform of internet of things framework according to claim 7, it is characterized in that, described processing warehouse logistics real-time monitoring module also comprises Logistic Scheduling module and logistics monitoring module, described Logistic Scheduling module is all connected with terminal Demonstration Platform with logistics monitoring module, described Logistic Scheduling module carries out the Logistic Scheduling of the means of agricultural production and agricultural product based on GIS technology and IDSS technology, described logistics monitoring module carries out the real-time monitoring of Cold Chain Logistics information based on GPS technology and wireless communication technology.
9. the agriculture platform of internet of things framework according to claim 5 or 6, it is characterized in that, described terminal Demonstration Platform comprises field crop Internet of Things Demonstration Platform, facility plastic greenhouse Internet of Things Demonstration Platform and agricultural machinery means of agricultural production Internet of Things Demonstration Platform, each assembly in described terminal Demonstration Platform is all connected with each module in system specialty supporting module, described field crop Internet of Things Demonstration Platform comprises field soil fertility aware platform, fertilization compositions based on earth measurement platform, grain processing environmental monitoring platform and grain and oil safe tracing platform, described facility plastic greenhouse Internet of Things Demonstration Platform comprises greenhouse-environment aware platform, water-fertilizer conditioning platform and dish fruit quality safety trace platform, described agricultural machinery means of agricultural production Internet of Things Demonstration Platform comprises agricultural material product quality tracing platform and means of agricultural production supply chain service platform.
10. agriculture platform of internet of things framework according to claim 1, it is characterized in that, described Agricultural Information obtains center and is provided with agriculture internet of things sensors communication interface, is received obtain multi-source heterogeneous data from the collection of corresponding agricultural data resources measurement equipment by described agriculture internet of things sensors communication interface.
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