A method to monitor and reliably predict emergence of road landslides using a digital device
A.L. Kortiev, B.D. Khastsaev, A.A. Kortiev
North Caucasian Institute of Mining and Metallurgy (State Technological University), Vladikavkaz, Russian Federation
Russian Mining Industry №1S / 2025 p. 47-54
Abstract: Development of digital devices for early detection of landslide causes is a topical problem, because such devices ensure efficiency in eliminating the adverse effects caused by landslides. The research solves this problem by developing a simpleto-implement digital device for monitoring the processes that take place in the ground, based on systematic measurement of the ground impedance parameters and processing of the measured values using a neural network. The device proposed in the paper is characterised by high metrological and economic performance, which ensures a wide range of application and reliable prediction of landslide initiation. The paper discusses: a block diagram of the digital device to protect roads from landslides and a structural diagram of the device's measuring circuit, which provides a three-wire connection to the measured object and applied structural changes in the original measuring circuit. The synthesized measuring circuit eliminates the dependence of the conversion accuracy on both the resistance of the long connecting wires and the nonlinearity of the output characteristic of the measuring circuit.ining enterprises and makes it possible to define the tasks for practical implementation of mining business projects.
Keywords: digital device, block diagram, structural diagram, measuring circuit, measuring electrodes, long connecting wires, impedance parameters, impedance measurement, resistance sensors, temperature sensors, mass sensors, humidity sensors, precipitation sensors, artificial neural networks
Acknowledgments: This work was financially supported by a grant from the Russian Science Foundation (Project No.23-1720001).
For citation: Kortiev A.L., Khastsaev B.D., Kortiev A.A. A method to monitor and reliably predict emergence of road landslides using a digital device. Russian Mining Industry. 2025;(1S):47–54. https://doi.org/10.30686/1609-9192-2025-1S-47-54
Article info
Received: 03.01.2025
Revised: 24.01.2025
Accepted: 27.01.2025
Information about the authors
Alan L. Kortiev – Cand. Sci. (Eng.), Head of the Department of Road Traffic Safety, North Caucasian Institute of Mining and Metallurgy (State Technological University), Vladikavkaz, Russian Federation; https://orcid.org/0000-0001-8859-7099; e-mail: kortiev73@mail.ru
Boris D. Khastsaev – Dr. Sci. (Eng.), Professor, Department of Industrial Electronics, North Caucasian Institute of Mining and Metallurgy (State Technological University), Vladikavkaz, Russian Federation
Aslan A. Kortiev – student, Faculty of Information Technologies and Electronic Engineering, North Caucasian Institute of Mining and Metallurgy (State Technological University), Vladikavkaz, Russian Federation
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