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Multidimensional Display Of IoT Data And Its Application In Intelligent Ecological Education

Posted on:2021-05-24Degree:MasterType:Thesis
Country:ChinaCandidate:P F ShenFull Text:PDF
GTID:2427330614470111Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In the era of big data,more and more people are concerned about the value of data.With the development of the Internet of Things technology,there are more and more application scenarios of the Internet of Things technology,the number of Internet of Things devices is in a blowout growth,and the scale of the Internet of Things data is also increasing.IoT data is a typical time-series multi-dimensional data that carries spatial geographic information.It has the characteristics of complicated structure,large scale and high effective value.Showing the potential relationship of IoT data,and effective mining of the information contained in IoT data are important problems to be solved urgently.This article aims at the characteristics of the close integration of IoT data and geospatial information,and achieve the fusion display of GIS data geographic information and IoT data based on Web GIS,and on this basis,according to the needs of intelligent ecological education applications proposes a All-dimensional space display method of IoT data.Based on the multi-dimensional data visualization technology,this paper also implements a five-dimensional display method of IoT environment-aware data in the application of intelligent ecological education.The main contents of this article are as follows:(1)Aiming at the spatial characteristics of IoT data,a Web GIS display system based on Baidu tile map is implemented,and a back-end tile map server is implemented,which can effectively and accurately display the geographic location information of IoT data space.A high-heat adjacent cache strategy for tile maps can effectively increase the loading speed of map resources.Using the spatial interpolation method,the spatial distribution map of the IoT perception data and the heat map of the IoT perception data distribution are completed,and the spatial distribution of the IoT perception data in different geographic locations at the same time is effectively displayed.In order to meet the needs of intelligent ecological education applications,a comprehensive spatial display method of IoT data is proposed on the basis of Web GIS system,which achieves spatial geographic information,real-time IoT data,plant growth video live broadcast and plant growth process recording All-round multi-form display.(2)Aiming at the difficulty of displaying multi-dimensional data in IoT data and the strong demand for intelligent ecological education applications for multi-dimensional display of environmental data,a five-dimensional display method for IoT data is proposed and implemented,which can complete the inclusion of time series The five dimensions of IoT data including information are displayed at the same time,and a user interaction method is added.The user can select the dimension information of the IoT data that he wants to display by selecting the dimension label,and can also perform interactive operations such as zooming and rotation.This method uses a new dual-end color mapping scheme to generate a smooth color map to show data changes,which can effectively overcome the shortcomings of the non-linear changes in traditional rainbow maps.The five-dimensional data display method can effectively meet the needs of users,effectively help users observe multi-dimensional IoT data,and discover the correlation between multi-dimensional data.(3)Introduced the development of intelligent ecological education,the role of IoT data in intelligent ecological education and the application of multi-dimensional display method of IoT data in intelligent ecological education.This method can effectively display the data information of the Internet of Things,improve the learning efficiency of intelligent ecological education,and help students develop comprehensively.
Keywords/Search Tags:IoT data, multidimensional data, visualization, GIS
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