An Unified Spatial Index and Visualization Method for the Trajectory and Grid Queries in Internet of Things
2019, 24(9), pp.83-95
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
HanJinJu 1, Na chul-won 2, Dahee Lee 3, Lee DoHoon 4, Byung-Won On 5, Ryong Lee 6, PARK MINWOO 7, Lee Sang Hwan 8
1군산대학교
2군산대학교
3군산대학교
4군산대학교
5군산대학교
6한국과학기술정보연구원
7한국과학기술정보연구원
8한국과학기술정보연구원
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Recently, a variety of IoT data is collected by attaching geosensors to many vehicles that are on the road. IoT data basically has time and space information and is composed of various data such as temperature, humidity, fine dust, Co2, etc. Although a certain sensor data can be retrieved using time, latitude and longitude, which are keys to the IoT data, advanced search engines for IoT data to handle high-level user queries are still limited. There is also a problem with searching large amounts of IoT data without generating indexes, which wastes a great deal of time through sequential scans. In this paper, we propose a unified spatial index model that handles both grid and trajectory queries using a cell-based space-filling curve method. also it presents a visualization method that helps user grasp intuitively. The Trajectory query is to aggregate the traffic of the trajectory cells passed by taxi on the road searched by the user. The grid query is to find the cells on the road searched by the user and to aggregate the fine dust. Based on the generated spatial index, the user interface quickly summarizes the trajectory and grid queries for specific road and all roads, and proposes a Web-based prototype system that can be analyzed intuitively through road and heat map visualization.
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