Research on Mobile Innovative Design Thinking Based on Big Data

Abstract

In the development of wireless communication and sensor technology innovation, the coverage of related equipment is also rising, at this time in the continuous expansion of individual activity range, the behavior characteristics of the behavior has gradually become the main content of scientific research and exploration. According to the base station constructed by urban development, the radio wave provided by the mobile object equipment is acquired, and then the mobile data is obtained during the transformation. These contents can not only accurately query the approximate position of the mobile object, but also obtain the corresponding time series data, also known as trajectory data. Because the current computing and storage capacity of the computer can not directly process the original mobile data, it is necessary to put forward appropriate countermeasures to preprocess large amounts of mobile data. In this article, therefore, to understand the current big data era under the background of mobile innovation, on the basis of development trend, from the similarity matching of trajectory, based on the layered structure of clustering and information entropy difference similarity method, in-depth studies are validated and connecting with the practical scenarios analysis, prove that is feasible for mobile big data extract tracks.