A System of sustainable landslide detection by developing a sensor picket with direct communication function to cloud servers

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K11949
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60060:Information network-related
• Research Institution: Tokyo Denki University
• Principal Investigator: IWAI Masayuki 東京電機大学, 未来科学部, 教授 (30458971)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: 防災センサネットワーク / フィールドIoT / 防災センサ / LoRa / Cat.M1 / 水位計測

Outline of Final Research Achievements

Existing field sensor infrastructure assumes a repeater and stable power supply and lacks long-term powerless operation, low-cost operation, and rapid warning functions. In this study, we established a low-cost, high-precision method for analyzing ground conditions and water level changes on roads, coastal areas, and mountainous areas in order to detect and understand disaster information even in the event of a large-scale communication infrastructure collapse. Through repeated operational experiments, we studied piles with built-in high-definition sensors and developed a highly reliable monitoring and warning system. Developed a sustainable, high-precision, low-cost sensing system that can be installed and operated by residents in disaster-prone areas, and dynamically adjust the sensing cycle based on weather information. The system also enables rapid notification of disaster risk information including water level sensor information.

Free Research Field

フィールドIoT

Academic Significance and Societal Importance of the Research Achievements

本研究は、山間部や沿岸部での従来の中継サーバや有線ケーブル設置に伴う高コスト・時間的制約を克服する新たなセンサ杭の手法を提案した。本手法による、学術的にはセンサ杭が直接携帯電話網に通信し、低コストかつ省電力でデータを即座に無線伝送する優位性を持つ。9軸センサや気圧センサを統合し、複雑な土壌動作を高精度に解析する点で独自性があり、既存のシンプルな加速度センサより観測能力を実現する。さらに予測データに基づく動的センシング周期の調整、センサデータの時系列解析による広域危険度把握、迅速な無線データ転送技術、そして危険度予想の迅速通知フレームワークを統合し、災害リスクの早期検知・通知を可能にした。