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

Cañete E, Chen J, Díaz M, Llopis L, Reyna A, Rubio B - Sensors (Basel) (2015)

Bottom Line: Recently, slab track systems have arisen as a safer and more sustainable option for high speed railway infrastructures, compared to traditional ballasted tracks.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 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Languages and Computer Science, University of Málaga, Boulevar Louis Pasteur 35, Málaga 29071, Spain. ecc@lcc.uma.es.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Devices of the monitoring system.
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sensors-15-15101-f017: Devices of the monitoring system.

Mentions: Figure 17 illustrates the appearance of the devices used to implement the communication system prototype. For a realistic simulation we have implemented a simple train simulator. This simulator simulates the passing of a train every half an hour. The train passing by lasts 20 s which means that 20 s of acceleration data at 800 Hz will be collected. Once the data has been collected it is analyzed with the algorithm mentioned in Section 3.3. Once the peaks in the frequency domain have been identified, this information is sent to the coordinator of the monitoring group. Finally, when a data mule train is detected, all this information is sent to it. Figure 18 summarizes the schedule of the various activities that occur in the sensors with respect to the schedule of the trains.


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

Cañete E, Chen J, Díaz M, Llopis L, Reyna A, Rubio B - Sensors (Basel) (2015)

Devices of the monitoring system.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541823&req=5

sensors-15-15101-f017: Devices of the monitoring system.
Mentions: Figure 17 illustrates the appearance of the devices used to implement the communication system prototype. For a realistic simulation we have implemented a simple train simulator. This simulator simulates the passing of a train every half an hour. The train passing by lasts 20 s which means that 20 s of acceleration data at 800 Hz will be collected. Once the data has been collected it is analyzed with the algorithm mentioned in Section 3.3. Once the peaks in the frequency domain have been identified, this information is sent to the coordinator of the monitoring group. Finally, when a data mule train is detected, all this information is sent to it. Figure 18 summarizes the schedule of the various activities that occur in the sensors with respect to the schedule of the trains.

Bottom Line: Recently, slab track systems have arisen as a safer and more sustainable option for high speed railway infrastructures, compared to traditional ballasted tracks.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 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Languages and Computer Science, University of Málaga, Boulevar Louis Pasteur 35, Málaga 29071, Spain. ecc@lcc.uma.es.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus