Abstract
References
- Almammadova, M., Kamenieva, N. & Bibikov, M. (2024). Microprocessor system control stage: Railway tracks example. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 28, 191- 200.
Abstract
This paper introduces a novel method of managing railway tracks by utilizing a control system based on microprocessors. The creation and deployment of an advanced system intended to improve the effectiveness, security, and dependability of railway operations is the main objective. The suggested system makes use of cutting-edge microprocessor technology to keep an eye on, manage, and repair a number of railway infrastructure components, such as train movements, signal operations, and track integrity. The system offers an automated approach to identify and resolve any problems such track defects, signal failures, and unwanted access through real-time data collecting and processing. Additionally, the integration of predictive maintenance algorithms helps in preemptive identification of wear and tear on tracks, thereby reducing the likelihood of accidents and improving overall service quality. The paper details the architectural design of the system, its operational mechanisms, and the results of a series of simulations and real-world tests conducted to validate its effectiveness. The findings demonstrate significant improvements in operational efficiency, reduced maintenance costs, and enhanced passenger safety, illustrating the potential of microprocessor-based systems in revolutionizing railway infrastructure management.
References
- Almammadova, M., Kamenieva, N. & Bibikov, M. (2024). Microprocessor system control stage: Railway tracks example. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 28, 191- 200.
Details
| Primary Language | English |
|---|---|
| Subjects | Software Engineering (Other) |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | July 20, 2024 |
| Publication Date | August 1, 2024 |
| Submission Date | January 9, 2024 |
| Acceptance Date | April 2, 2024 |
| Published in Issue | Year 2024Volume: 28 |
