| Agricultural information construction in the national strategic adjustment of agriculture and agricultural resources utilization and protection,integration of agricultural structure,agricultural sustainable development,market sales of agricultural products and agricultural disaster prevention and mitigation and so on has played a supporting role of science and technology.As the Internet of things technology,"3S" technology and the rapid development of data integration technology,makes work of Agricultural decision-making and implementation,and the research has great realistic significance and research significance.Agricultural decisions require timely and accurate access to various large amounts of data of crop planting area,including agronomy parameter,video information,geospatial data.The implementation for these multi-source heterogeneous data integration and integrated management,become the main content of this article which is going to study.In this paper,with the Beijing academy of agriculture and forestry scientific research project on "Agricultrual decision space information system",I have do a lot of work including data integration services and management in the system,in fully analyzes the part of the business requirements and business logic,on the basis of the unmanned aerial vehicle(UAV)data,remote sensing,and the Internet of things such as multi-source heterogeneous data integration method and the integration model.The work Starting from the characteristics of these data,the paper expounds the meaning of multi-source heterogeneous data and data integration,data integration methods and its feasibility,key technical points,some of the existing data integration method,comparison and analysis,and on this basis,mainly in the following four categories of data integration to carry out research and integration:1、Geographical spatial data integration.Geographical spatial data is the data source of the Agricultural decision space information system and data base.The remote sensing picture data,in particular,can accurate,timely reflect information dynamics in spatial and temporal change of crops planting area And due to the difference of sensor types of remote sensing image data,there is a different resolution,different time scales,the characteristics of different format,with the passage of time,would amount to a huge amounts of data sets,need to be integrated and scientific management.In this paper,the work will use modular middleware of data integration for geospatial data which has the characteristics of mass,real-time,multi-source.2、Integration for Spatial data and IoT(Internet of Things)data。Due to the IoT data itself without geo-spatial information,but its objective is present the spatial distribution,so integration of spatial data and Internet data in the reaction plays an important role in regional spatio-temporal dynamics of crop information.Using the associative table way among them is proposed in this paper,according to geographical spatial data and IoT data organic links,give IoT data spatial geographic information,in order to achieve the purpose of data integration for spatial data and IoT data.3、IoT data integration.The work mainly use WebService and SOAP technology,wireless network,3G/4G network,GPRS network,Ethernet transmission channels for data transmission and data center platform,through the data access interface,these real-time will be centralized to management of data in the relational database.4、Crop spatial data service system.This paper will use the geographical spatial data integration,spatial data and Internet of data integration,unmanned aerial vehicle(uav)data integration of these three aspects related technical methods to applied to crop spatial data service center in the development process of the system based on the system development.It will provide the multi-source heterogeneous data for scientific and effective organization and management,and provide Argriculture decision space information system is stable and reliable data source. |
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