Development of Warning System for Landslide Hazard Area with IoT System (Internet of Things)

Authors

  • วิชุดา จำเรือง ภาควิชาวิศวกรรมโยธา คณะวิศวกรรมศาสตร์ มหาวิทยาลัยเกษตรศาสตร์
  • อภินิติ โชติสังกาศ
  • สุสิทธิ์ ฉายประกายแก้ว

Keywords:

Landslide Hazard, , Internet of Things, In-place Inclinometer, landslide warning criteria, cumulative rainfall

Abstract

This paper presents the result of the Internet of Things landslide measurement as the development of geotechnical monitoring tools. They are working together by communication through electronic devices, transmitting information to the Internet platform for monitor and lead to appropriate landslide warning criteria by tracking various factors causing the movement of soil masses and studying of the rate of soil movement that tends to result in a change from the original environment. When tracking the performance of the instrument, in the Ban Namjoon (Nan, Thailand) there is a shallow soil movement (0.5-1.0 m) of approximately 30 mm at a cumulative rainfall of 600 mm over 3-month period. The movement of the soil mass is 0.015 mm./h. (The slow movement of soil masses is called soil creep.) that has the suction of soil is in range 0 – 7 kPa. (Unsaturated Soil). These recordings are stored by an IoT system consisting of Arduino MAGA 2560 and NB IoT as a intermediate connectivity so sensor can communicate with each other.

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Published

2022-09-20

How to Cite

[1]
จำเรือง ว., โชติสังกาศ อ. ., and ฉายประกายแก้ว ส. ., “Development of Warning System for Landslide Hazard Area with IoT System (Internet of Things)”, ncce27, vol. 27, pp. GTE12–1, Sep. 2022.

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