Sensor4PRI: A Sensor Platform for the Protection of  Railway Infrastructures

Cañete, Eduardo; Chen, Jaime; Díáz, Manuel; Llopis, Luis; Rubio, Bartolomé

doi:10.3390/s150304996

Cited by 18 publications

(19 citation statements)

References 13 publications

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“…Finally, the sensor platform has been equipped with the Xbee communication modules described in the following sections. A complete description of our selected sensor platform can be consulted in [ 7 ].…”

Section: System Descriptionmentioning

confidence: 99%

“…They are used to detect changes in the initial conditions of the deployment and therefore detect possible issues or abnormal situations. More details about the selection process and integration of these sensors are explained in [ 7 ].…”

Section: System Descriptionmentioning

confidence: 99%

“…The first stage was the sensor platform design. A previous paper presented the sensor platform [ 7 ] for our system. That paper described our experiences in the process to select a sensor platform which meets the system requirements.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using Wireless Sensor Networks and Trains as Data Mules to Monitor Slab Track Infrastructures

Cañete

Chen

Díáz

et al. 2015

Sensors

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Recently, slab track systems have arisen as a safer and more sustainable option for high speed railway infrastructures, compared to traditional ballasted tracks. Integrating Wireless Sensor Networks within these infrastructures can provide structural health related data that can be used to evaluate their degradation and to not only detect failures but also to predict them. The design of such systems has to deal with a scenario of large areas with inaccessible zones, where neither Internet coverage nor electricity supply is guaranteed. In this paper we propose a monitoring system for slab track systems that measures vibrations and displacements in the track. Collected data is transmitted to passing trains, which are used as data mules to upload the information to a remote control center. On arrival at the station, the data is stored in a database, which is queried by an application in order to detect and predict failures. In this paper, different communication architectures are designed and tested to select the most suitable system meeting such requirements as efficiency, low cost and data accuracy. In addition, to ensure communication between the sensing devices and the train, the communication system must take into account parameters such as train speed, antenna coverage, band and frequency.

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Section: System Descriptionmentioning

confidence: 99%

Section: System Descriptionmentioning

confidence: 99%

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Using Wireless Sensor Networks and Trains as Data Mules to Monitor Slab Track Infrastructures

Cañete

Chen

Díáz

et al. 2015

Sensors

Self Cite

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“…In our approach, WSN is integrated in the slab tracks in order to reduce the cost of installation and maintenance since it can provide real-time data that can help predict and detect abnormal situations. The prototype and system architecture were described in two previous papers: the sensor platform was described in the study by Can˜ete et al 9 and the communication architecture was described in the study by Can˜ete et al 10 The previous publications studied the feasibility of this solution and came up with a system that meets the scenario requirements while at the same time meeting an important cost requirement; it cannot exceed 10% of the total cost of the infrastructure. In this sense, a real-scenario test of the prototype based on low-cost components needs to be carried out to validate and reproduce all the possible situations.…”

Section: Introductionmentioning

confidence: 99%

Wireless sensor networks and structural health monitoring: Experiences with slab track infrastructures

Cañete

Chen

Díáz

et al. 2019

International Journal of Distributed Sensor Networks

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Slab track systems have the potential to become a more sustainable option for high-speed railway infrastructures than traditional ballasted tracks. Traditionally, the systems that monitor these infrastructures have been costly, but advances in the last few decades have made the use of wireless sensor networks within these infrastructures a feasible solution that can be used to evaluate their degradation for failure detection and prediction. Since the cost of these systems is steadily decreasing, it is now possible to use permanent wireless sensor networks as an integral part of the overall system to pave the way for smart infrastructures that can get real-time information about the structural health of the infrastructure at a relatively low cost. In order to show the suitability of this kind of system to monitor the structural health, three demonstrators, developed in the context of the FASTRACK project, related to the design and construction of a monitoring system for slab track systems that measures vibrations and displacements in the track, are presented. FASTRACK uses an innovative approach where data read by sensors are sent to passing trains, which are used as data mules to upload the information to a remote server. On arrival at the station, the data are stored in a database, which is queried by an application to extract relevant information by means of analysis algorithms to detect and predict failures. The first real scenario tests the limits of the system under stress situations. The second one tests the system in an actual, installed slab track to analyze the suitability of the communication architecture and to study a transition zone between slab tracks to a ballast track. The last scenario deals with the data mule performance tests.

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“…The track movements over time, particularly where nearby construction work or where the track passes through vulnerable areas such as regions prone to landslides may affect the track settlement [45]. Moreover, inclinometers have been used to measure the tilt of the slab phase to help operators install the slab track in the right position and to periodically monitor the slab behavior in the monitoring phase [86].…”

Section: Inclinometermentioning

confidence: 99%

State-of-the-Art Review of Railway Track Resilience Monitoring

2018

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Abstract:In recent years, railway systems have played a significant role in transportation systems due to the demand increase in conveying both cargo and passengers. Due to the harsh environments and severe loading conditions, caused by the traffic growth, heavier axles and vehicles and increase in speed, railway tracks are at risk of degradation and failure. Condition monitoring has been widely used to support the health assessment of civil engineering structures and infrastructures. In this context, it was adopted as a powerful tool for an objective assessment of the railway track behaviour by enabling real-time data collection, inspection and detection of structural degradation. According to relevant literature, a number of sensors can be used to monitor track behaviour during the train passing under harsh environments. This paper presents a review of sensors used for structural monitoring of railway track infrastructure, as well as their application to sense the performance of different track components during extreme events. The insight into track monitoring for railways serving traffic with extreme features will not only improve the track inspection and damage detection but also enable a predictive track maintenance regime in order to assist the decision-making process towards more cost-effective management in the railway industry.

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Sensor4PRI: A Sensor Platform for the Protection of Railway Infrastructures

Cited by 18 publications

References 13 publications

Using Wireless Sensor Networks and Trains as Data Mules to Monitor Slab Track Infrastructures

Using Wireless Sensor Networks and Trains as Data Mules to Monitor Slab Track Infrastructures

Wireless sensor networks and structural health monitoring: Experiences with slab track infrastructures

State-of-the-Art Review of Railway Track Resilience Monitoring

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