Real Time Control System for Metro Railways Using PLC & SCADA
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This paper proposes to adopt SCADA and PLC technology for the improvement of the performance of real time signaling & train control systems in metro railways. The main concern of this paper is to minimize the failure in automated metro railways system operator and integrate the information coming from Operational Control Centre (OCC), traction SCADA system, traction power control, and power supply system. This work presents a simulated prototype of an automated metro train system operator that uses PLC and SCADA for the real time monitoring and control of the metro railway systems. Here, SCADA is used for the visualization of an automated process operation and then the whole operation is regulated with the help of PLC. The PLC used in this process is OMRON (NX1P2-9024DT1) and OMRON’s Sysmac studio programming software is used for developing the ladder logic of PLC. The metro railways system has deployed infrastructure based on SCADA from the power supply system, and each station’s traction power control is connected to the OCC remotely which commands all of the stations and has the highest command priority. An alarm is triggered in the event of an emergency or system congestion. This proposed system overcomes the drawbacks of the current centralized automatic train control (CATC) system. This system provides prominent benefits like augmenting services which may enhance a network’s full load capacity and network flexibility, which help in easy modification in the existing program at any time.
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High MTTR is associated with increased Probability of Loss of Control (PLOC), especially in continuous-flow industries such as water treatment and oil refining where delayed recovery can lead to unsafe process states.
“Literature also documents that high MTTR is associated with increased Probability of Loss of Control (PLOC), especially in continuous-flow industries such as water treatment and oil refining where delayed recovery can lead to unsafe process states (Tomar et al., 2023).”
From ADAPTING PLC/SCADA SYSTEMS TO MITIGATE INDUSTRIAL IOT CYBERSECURITY RISKS IN GLOBAL MANUFACTURING (2024) · cites this paper as Tomar et al., 2023
The ensemble's AUC variance (σ < 0.005) was significantly lower than that observed in Tomar et al. (2023), indicating higher consistency across simulation iterations.
“Furthermore, the ensemble's AUC variance (σ < 0.005) was significantly lower than that observed in Tomar et al. (2023), indicating higher consistency across simulation iterations.”
From ADAPTING PLC/SCADA SYSTEMS TO MITIGATE INDUSTRIAL IOT CYBERSECURITY RISKS IN GLOBAL MANUFACTURING (2024) · cites this paper as Tomar et al. (2023)
Integrating AI detection within segmented conduits accelerates anomaly correlation and supports proactive threat isolation.
“The significant improvement in MTTD also aligns with the zero-trust architectural models proposed by Tomar et al., (2023), confirming that integrating AI detection within segmented conduits accelerates anomaly correlation and supports proactive threat isolation.”
From ADAPTING PLC/SCADA SYSTEMS TO MITIGATE INDUSTRIAL IOT CYBERSECURITY RISKS IN GLOBAL MANUFACTURING (2024) · cites this paper as Tomar et al., (2023)
The study's detection latencies are notably superior to the 30-45 seconds average reported by Tomar et al. (2023) for rule-based and static signature detection in legacy SCADA networks.
“These figures are notably superior to the detection latencies reported by Tomar et al. (2023), where rulebased and static signature detection in legacy SCADA networks averaged 30-45 seconds before anomaly recognition.”
From ADAPTING PLC/SCADA SYSTEMS TO MITIGATE INDUSTRIAL IOT CYBERSECURITY RISKS IN GLOBAL MANUFACTURING (2024) · cites this paper as Tomar et al. (2023)
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ADAPTING PLC/SCADA SYSTEMS TO MITIGATE INDUSTRIAL IOT CYBERSECURITY RISKS IN GLOBAL MANUFACTURING
Phillip M. Drayer Department of Electrical Engineering, L. U., Tarek, J. H., Hasan, Z., & Master in Electrical and Electronics Engineering, C. O. E. (2024) · American Journal of Interdisciplinary Studies · doi:10.63125/0v4cms60 · Cited by 1 · see citing works
- Authors
- Tomar, I., Sreedevi, I., & Pandey, N.
- Affiliations
- Delhi Technological University (IN)
- Corresponding author
- Tomar, Ishu
- ORCID
- Tomar, Ishu
- Venue
- Intelligent Automation & Soft Computing
- Publisher
- Tech Science Press
- Published
- 2023
- Volume
- 35
- Issue
- 2
- Pages
- 1403-1421
- ISSN
- 1079-8587 (ISSN-L)
- OpenAlex
- W4285791496
- Cited by
- 6
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 1
- FWCI
- 0.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Intelligent Automation & Soft Computing (publishedVersion, cc-by)
- Funders
- Delhi Technological University
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Transportation Systems and Safety
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Railway Systems and Energy Efficiency
- Keywords
- PLC, SCADA, real-time monitoring, train control, power supply systems, ladder logic, alarm system, emergency response, network flexibility
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