Journal of Siberian Federal University. Engineering & Technologies / Development of an Autonomous Employee Notification System Using LoRa Technology

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Issue
Journal of Siberian Federal University. Engineering & Technologies. 2026 19 (5)
Authors
Drobiazko, Aleksey S.; Ryzhakov, Semyon A.; Ratushnyak, Victor S.
Contact information
Drobiazko, Aleksey S.: Siberian Federal University (Krasnoyarsk, Russian Federation); ; Ryzhakov, Semyon A.: Krasnoyarsk-Vostochny Station JSC «Russian Railways» (Krasnoyarsk, Rnussian Federation); Ratushnyak, Victor S. : Krasnoyarsk Rail Transport Institute a branch of Irkutsk State Transport University (Krasnoyarsk, Russian Federation)
Keywords
employee notification system; LoRa technology; autonomy; safety; electromagnetic sensor; solar tracking system; wireless communication
Abstract

The article discusses the development of an autonomous warning system for workers in a high-risk area near railway tracks. The relevance of the project is due to the high degree of risk in the production of track work, as well as the low reliability of existing warning devices, such as the SOP01 system and the use of signalers. According to official statistics, in 2024 alone, dozens of injuries were recorded among employees working near railway tracks, including fatal and group incidents. Existing solutions do not provide an adequate level of protection: alarm systems are susceptible to human error, and the SNR system is unreliable and often in a faulty state. The proposed system uses LoRa technology for alarm transmission and the Arduino microcontroller platform for data processing. The electromagnetic sensor SHMP12, which operates on the basis of the phenomenon of magnetic induction, is used as a rolling stock detection sensor. The system is implemented in two versions – mobile (transmitters in cases, receivers in vests) and stationary (installation of the transmitter in a travel cabinet, powered by a solar panel with a biaxial tracking system). A mock-up was developed, and the first field tests were carried out on railway tracks, which confirmed the stable operation and reliability of the device. The software part is executed in the Arduino IDE environment using the C/C++ language. The development meets modern occupational safety requirements, has a high degree of autonomy and noise immunity, is easily scaled and can serve as a replacement for outdated alarm systems. The system is ready for further improvement and implementation at Russian Railways facilities

Pages
642–652
EDN
FUNUWM
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/159304

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