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Development of a Performance Evaluation System Based on Baidu Map Fixed-point Observation Data

Published: 22 October 2018 Publication History

Abstract

The results1 of traditional seismic monitoring data evaluation are mostly based on text description and graph display. Earthquake researchers still need to spend a lot of time on analysis, and it is difficult to correlate the results with the time of the earthquake, the epicenter, and the array. The time, location and magnitude of an earthquake are often referred to as the three elements of an earthquake in seismology. The goal of the system is to realize the multi-dimensional data visualization of seismic monitoring, and to closely correlate the evaluation results with the three elements of the earthquake, so that the earthquake workers can further study and analyze the seismic evaluation data. Therefore, this paper needs to design a software system to graphically display the results of the seismic data evaluation. This article mainly uses Baidu map JavaScript API secondary development technology to display Baidu map on the Webpage, realize the evaluation results on the map to display and compare the map; use ECharts chart to draw plug-ins and other techniques, draw the evaluation results on the map. The graphs are displayed and compared. The ellipse long and short axis intensity algorithm is used to simulate the elliptical seismic intensity map, and the impact of the earthquake on the surrounding building stations is analyzed by simulating the earthquake. Through the above key technologies, the seismic data is transformed into GIS spatial data efficiently. The correlation between the map and the three elements of the earthquake is provided to provide technical support for the earthquake workers.

References

[1]
Sun Luqiang, Liu Lei, Zhu Hong, Li Liandi, Yu Zhenfu, and Liu Yanli. 2016. Design and Implementation of Earthquake Event Sharing System of Tianjin Earthquake Administration. Earthquake Disaster Prevention Technology, (01), 165--172.
[2]
Jia Zhen, and Han Yin. 2016. Intelligent Traffic Information Display Based on Baidu Map API. Logistics Engineering and Management, (07), 211--213+218.
[3]
Zhao Haiguo. 2018. Implementation of ECharts dynamic data real-time refresh technology supported by Ajax technology. Electronic Technology, (03).
[4]
Ji Xiao, and Li Yang. 2017. Data system monitoring system based on ECharts visualization technology. Computer systems applications, (06).
[5]
Wang Wanli. 2017. Overview of Baidu Map API Application. Computer Programming Skills and Maintenance, (05).
[6]
Mao Zhengxiong, Zhao Zhiyu, and Sun Beining. 2018. Research on Web Response Acceleration Optimization Based on Nginx. Automation & Instrumentation, (04).

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CSAE '18: Proceedings of the 2nd International Conference on Computer Science and Application Engineering
October 2018
1083 pages
ISBN:9781450365123
DOI:10.1145/3207677
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2018

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Author Tags

  1. Baidu map
  2. Echarts
  3. elliptical intensity algorithm

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CSAE '18

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CSAE '18 Paper Acceptance Rate 189 of 383 submissions, 49%;
Overall Acceptance Rate 368 of 770 submissions, 48%

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