PLC and SCADA based Real Time Monitoring and Train Control System for the Metro Railways Infrastructure

Tomar, Ishu; Sreedevi, Indu; Pandey, Neeta

doi:10.1007/s11277-022-10109-1

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…The historical data are visualised as a timelapse of trajectories, using colourful animated lines that provide a quick overview of vessel traffic in the area and allow for going back in time for up to six months. Both visualisations can be shown at the same time since they do not obscure one another 5 (Fig. 2).…”

Section: System Design and Implementationmentioning

confidence: 76%

“…Generally, based on the implementation and characteristics described in this paper, PMSL can facilitate uses relating to situational and real-time location awareness. For instance, it could be used to provide a four-dimensional overview of sensor-based instances of land traffic as part of supervisory control and data acquisition (SCADA) systems and emergency response operations [5].…”

Section: Discussion and Future Workmentioning

confidence: 99%

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The Projection Mapping Situational Layer: Tabletop Projection Mapping for Visualisation of Real-time Geospatial Data

Boletsis,

Pultier,

Prillard

2023

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments

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This work presents a data-centric approach to the implementation of tabletop projection mapping, utilising the technology for data visualisation purposes with a focus on real-time geospatial data. The goal of the implementation is for multiple users or viewers to acquire a four-dimensional augmented overview of critical operations without the need for additional hardware. To that end, the Projection Mapping Situational Layer (PMSL) is presented as a tabletop projection mapping application where the real-time positions of sea vessels in the Vesterålen district (of Norway) are visualised. Based on this implementation and on its described characteristics, PMSL can be used to facilitate situational and real-time location awareness. CCS CONCEPTS• Human-centered computing → Visualization systems and tools; • Software and its engineering → Software implementation planning.

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Section: System Design and Implementationmentioning

confidence: 76%

Section: Discussion and Future Workmentioning

confidence: 99%

The Projection Mapping Situational Layer: Tabletop Projection Mapping for Visualisation of Real-time Geospatial Data

Boletsis,

Pultier,

Prillard

2023

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments

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“…The PLC and Kunlun Tongtai touch screen can communicate through the MODBUS RTU RS485 communication port or MODBUS TCP. Communication between the hydraulic system actuators and the PLC can be achieved through IO port communication or MODBUS RTU RS485 [17] , as shown in Figure 18. Figure 24.…”

Section: Human-machine Interface Designmentioning

confidence: 99%

Intelligent residual film recovery machine monitoring and control system

Wang,

Jian,

Tang

et al. 2024

J. Phys.: Conf. Ser.

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Domestic residue recovery machines in China still follow the traditional towed mechanical model, lacking automation and intelligent features. Under the key R&D project of Xinjiang Autonomous Region, our team has developed integrated intelligent agricultural machinery for cotton straw crushing and residue recovery. This research covers the monitoring and control system, including PLC control and communication, working parameter monitoring and adjustment, algorithmic control of electro-hydraulic actuators, and human-machine interface display. Compared to traditional models, this machine replaces the conventional chain-driven mechanical structure and diesel tractor traction power with a fully hydraulic integrated suspension drive and power system. Sensors, PLC, and a touch screen are utilized for real-time monitoring and display of parameters. Hardware components like electromagnetic switch valves, electro-hydraulic proportional valves, hydraulic cylinders, and software elements such as PLC programs and intelligent control algorithms are employed for electro-hydraulic switching and proportional control of certain working parameters and mechanisms. All parameter information is consolidated in the PLC host and expansion modules and displayed and controlled on the human-machine interface. The system was installed on the first-generation machine for indoor testing, revealing that the monitoring and control system used on the first-generation machine achieves parameter detection and adjustment of the actuating mechanisms. It incorporates more advanced functions compared to traditional residue recovery machines. However, there is still ample room for improvement in the overall intelligence of the machine. The control system’s structure requires adjustment, and certain functionalities of the overall mechanical structure and working components need optimization or upgrading. Detailed enhancements to the entire system will be made in the next-generation machine.

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“…In order to construct the state expression in the risk point of the braking system and judge the working state of the risk point, this paper consults the relevant literature on the risk point mentioned in this paper. some characteristics and indexes of related components are introduced in the braking system [26][27][28][29][30][31][32][33][34]. Based on these indicators, this paper constructs the risk point state expression.…”

Section: State Expression Of Key Risk Point State Of the Braking Systemmentioning

confidence: 99%

Failure Propagation Prediction of Complex Electromechanical Systems Based on Interdependence

et al. 2023

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Interdependence is an inherent feature of the cyber-physical system. Small damage to one component in the system may affect several other components, leading to a series of failures, thus collapsing the entire system. Therefore, the system failure is often caused by the failure of one or more components. In order to solve this problem, this paper focuses on a failure propagation probability prediction method for complex electromechanical systems, considering component states and dependencies between components. Firstly, the key component set in the system is determined based on the reliability measure. Considering the three coupling mechanisms of mechanical, electrical, and information, a topology network model of the system is constructed. Secondly, based on the topology network model and fault data, the calculation method of influence degree between components is proposed. Three state parameters are used to express the risk point state of each component in the system through mathematical representation, and the correlation coefficient between the risk point state parameters is calculated and measured based on the uncertainty evaluation. Then, the influence matrix between the system risk points is constructed, and the fault sequence is predicted by using the prediction function of an Artificial Neural Network (ANN) to obtain the fault propagation probability. Finally, the method is applied to the rail train braking system, which verifies that the proposed method is feasible and effective.

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PLC and SCADA based Real Time Monitoring and Train Control System for the Metro Railways Infrastructure

Cited by 6 publications

References 25 publications

The Projection Mapping Situational Layer: Tabletop Projection Mapping for Visualisation of Real-time Geospatial Data

The Projection Mapping Situational Layer: Tabletop Projection Mapping for Visualisation of Real-time Geospatial Data

Intelligent residual film recovery machine monitoring and control system

Failure Propagation Prediction of Complex Electromechanical Systems Based on Interdependence

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