Smart sensor data acquisition in trains

António Pereira, João Paulo Pimentão, Pedro Sousa, Sergio Onofre

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Collecting information about faults, state of surrounding environment and equipment is crucial in systems that could jeopardize human lives, such as trains. Normally, data are obtained via analog sensors which do not have any interface to allow their integration with software systems. Additionally, acquisition and transport of sensor data could suffer interferences in the train's environment due to electromagnetic noise from various sources. Taking into account these problems, this paper presents an architecture for data acquisition of analog data from a train's environment, drawn to perform data acquisition with various noise sources. Data are processed by Smart Sensors that guarantee not only the noise filtering but also a safe collection of data. Data collection requires a communication protocol that allows data transport under the influence of noise. This paper includes state of the art analysis in data communication in physically demanding environments in order to ensure an acceptable performance, considering criteria like mobility, upfront costs and flexibility.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538611272
Publication statusPublished - 15 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017


Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017


  • data acquisition
  • digital processing
  • distributed systems
  • noise
  • Sensor Networks
  • Smart Sensor
  • Smart Systems


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