Slope-Land Listener: Landslide Monitoring with SMS Notification and Siren Alarm System

Danny  G. Umoso,; Jyrand Dave  Espinosa,; Kristian Jay  Serranol,; Cassandra  Vibandorl,; Florante  Andaya,; Aldrin  Soriano,; Anna-Liza  Sigue,

Slope-Land Listener: Landslide Monitoring with SMS Notification and Siren Alarm System

Discipline: Civil Engineering

Abstract:

Landslide is a natural calamity that brings enormous casualties in mountainous regions and in areas prone to landslide. The most common causes of landslide in the Philippines are heavy rainfall and earthquake which loosens the soil and rocks. There are existing landslide detectors in the country that face several problems including the lack of trained persons to operate the system and its inability to notify the people beforehand. In this study, developmental research is conducted and proven effective in designing a user-friendly device which can help measure and monitor land conditions through improving the existing devices used to detect landslide occurrence. Slope-Land Listener: Landslide Monitoring with SMS Notification and Siren Alarm System is a device that measures and monitors the conditions of the land within a specific area over a period of time. It is designed to provide collection and evaluation of data and automates early warning system for environmental safeguard and life protection. The device enables real-time monitoring of land metrics regarding a landslide activity. The Slope-Land Listener evaluates land through a voting algorithm from different parts of the vicinity to provide accurate readings and directly notify the necessary people before critical condition occurs. It focuses on measuring, monitoring and warning. This design project promotes awareness on the status of land quality among civilians.

References:

I.Skrzypczak, W. Kokoszka, and J. Kogut, “The impact of landslide on local infrastructure and the environment,” Environmental Engineering 10th International Conference, Cracow, Poland, 2017, April, DOI: https://doi.org/10.3846/enviro.2017.049.
G. Qiao, P. Lu, M. Scaioni, S. Xu, X. Tong, T. Feng, H. Wu, W. Chen, Y. Tian, W.Wang, and R. Li, “Landslide investigation with remote sensing and sensor network: from susceptibility mapping and scaled- down simulation in situ sensor network design,” 2013, Remote Sense, 5, 4319-4346, doi:10.3390/rs5094319
P. D. Savvaidis, “Existing Landslide Monitoring Systems and Techniques,” Department of Geotechnical Engineering, School of Civil Engineering, 2003.
S. Fuada, M. Thobib, N. Jannah, and A. Risfanda, “Application of photovoltaic cells as a power supply for smart,” New, renewable energy and energy conservation conference and exhibition, 2, 2015.
W. Rahmaniar, “Prototype of Volcano Eruption Monitoring Robot Based on Temperature Detection using Amplitude Shifting Keying