Abstract

Agricultural products in circulation process requirements of the transport environment relatively strict, use of networking technology can real-time perception process of the circulation of agricultural products in the environmental data and the vehicle location data, through effective visualization of these data to realize the transport aspects of environmental monitoring and position tracking. Directly to the data for visualization mapping will face the following challenges: perceived will appear very complex disorder, is easy to appear the problem of visual confusion; key points will be buried in dense point group, it is difficult to find the valuable information contained in the data; the rendering of large-scale data will occupy a lot of computational resources and lead to browser Stuttering phenomenon, affect the user's experience. Aiming at these problems, this paper proposes a spatiotemporal data-aware clustering of the circulation of agricultural products based on the technology of visualization technology, the first comprehensive consideration of geographical space distribution, time continuity, semantic characteristics of large-scale data collected by cluster analysis, dig out the key position of the circulation process; and then draw the transport track these key positions based on, in order to achieve the circulation process of sensing data visualization; finally, applied this technology to the agricultural IOT geographic spatial analysis and visualization system, this system is successfully applied to the Shandong Province agricultural base, to demonstrate the application for agricultural logistics, application shows that this technology is convenient to analyze visually on spatiotemporal visualization the process of the circulation of agricultural products.

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