A Notification System for Landslide Prone Areas

Article Preview

Abstract:

The main task of information processing in this work is to develop approaches to predicting future threats based on existing experience, initially obtained using intelligent technologies, that are a set of methods and technical means, by which human intelligence is modeled in an autonomous mode based on appropriate algorithms and programs. As an example, the functioning of security systems that protect the population from technogenic, ecological, epidemiological, etc. factors, in extreme cases minimizing their impact, is related to the structural-functional synthesis of control and support systems, decision-making, feedback, adaptation, and intelligent monitoring of external conditions. The new notification system, developed for landslide-prone areas, provides: (1) measurement of ground displacement and relative slope, (2) measurement of constructions deformation and bulge, and (3) receiving, visualization, and processing of the collected data at the monitoring center.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

125-129

Citation:

Online since:

November 2025

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2025 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] S.C. Oliveira & BeSafeSlide Project Team, Landslide Early Warning Systems: Conceptual and Practical Implications, PTDC/GES–AMB/30052/2017 (2017) https://www.aircentre.org/wp-content/uploads/2020/05/Sergio_Oliveira_IGOT_2020.pdf (1-19).

Google Scholar

[2] V. Menon, S. Kolathayar, Review on landslide early warning system: A brief history, evolution, and controlling parameters, in: S. Kolathayar, I. Pal, S.Ch. Chian, A. Mondal (Eds.), Civil Engineering for Disaster Risk Reduction, Springer Nature, Singapore, 2022, Ch. 10, pp.129-145.

DOI: 10.1007/978-981-16-5312-4_10

Google Scholar

[3] J. Fraden, Handbook of Modern Sensors: Physics, Designs, and Applications, fifth ed., Springer, Cham, 2016.

Google Scholar

[4] R.A. Dunlap, The normal Hall effect, in: Electrons in Solids. Contemporary Topics, IoP Concise Phys. I (1) (2024) https://iopscience.iop.org/book/mono/978-1-64327-690-8/chapter/bk978-1-64327-690-8ch1.pdf (1-11).

Google Scholar

[5] Transducers, Gauges, Sensors: https://sensorse.com/pageen.html.

Google Scholar

[6] N. Abelashvili, N. Otkhozoria, V. Otkhozoria, E. Akhlouri, Diagnosing the stability of large-scale processes using fractal structure analysis of time series, Int. Sci. J. Eng. Agric. 3 (4) (2024) 30-37.

DOI: 10.46299/j.isjea.20240304.03

Google Scholar

[7] N. Otkhozoria, N. Tsiklauri, V. Otkhozoria, Selection of mathematical optimization methods for solving engineering practice problems, Georgian Sci. 6 (2) (2024) 286-293.

DOI: 10.52340/gs.2024.06.02.30

Google Scholar