Development of a 3D disaster prevention information model based on high-precision location information

2021 Fiscal Year Final Research Report

• Project/Area Number: 17K01312
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: National Institute of Technology, Toyama College
• Principal Investigator: Oguma Hiroshi 富山高等専門学校, 電子情報工学科, 教授 (40621909)
• Co-Investigator(Kenkyū-buntansha): 亀田 卓 広島大学, ナノデバイス・バイオ融合科学研究所, 教授 (10343039)
• Project Period (FY): 2017-04-01 – 2022-03-31
• Keywords: ハザードマップ / GNSS / マルチパス / 天空率 / RTK

Outline of Final Research Achievements

We have developed a system to support the use of hazard maps in conjunction with weather warnings provided by the Japan Meteorological Agency, as well as the visualization of flood hazard information and the addition of landslide disaster information to the system by utilizing open data.
In addition, we experimentally verified the relationship between the number of visible satellites and position-acquisition accuracy under low sky coverage for the GPS and BeiDou multi-GNSS systems. It was found that for each number of visible satellites, there are three regions of position acquisition accuracy: A: the influence of the number of visible satellites is very large, B: the influence of the number of visible satellites is larger or equal to the influence of multipath, and C: the influence of multipath is larger than the number of visible satellites.

Free Research Field

無線通信ネットワーク

Academic Significance and Societal Importance of the Research Achievements

ハザードマップ活用支援システムの開発とともに, GPSとBeiDouのマルチGNSSシステムを対象に,低天空率環境下での可視衛星数と位置捕捉精度との関係について実験的に検証を行った.位置捕捉精度は可視衛星数ごとに, マルチパスと可視衛星数との関係から, 3つの領域があることを明らかにした. この成果は GNSSシステムの位置情報の活用のための仰角マスクおよびSNR設計を行う上で極めて重要な設計指針である.