Wireless Real-Time Monitoring System for the Implementation of Intelligent Control in Subways

Alessandro Carbonari (Corresponding author), Massimo Vaccarini, Mikko Valta, Maddalena Nurchis

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

Abstract

This chapter looks into the technical features of state-of-the-art wireless sensors networks for environmental monitoring. Technology advances in low-power and wireless devices have made the deployment of those networks more and more affordable. In addition, wireless sensor networks have become more flexible and adaptable to a wide range of situations. Hence, a framework for their correct implementation will be provided. Then, one specific application about real-time environmental monitoring in support of a model-based predictive control system installed in a metro station will be described. In these applications, filtering, resampling, and post-processing functions must be developed, in order to convert raw data into a dataset arranged in the right format, so that it can inform the algorithms of the control system about the current state of the domain under control. Finally, the whole architecture of the model-based predictive control and its final performances will be reported.
Original languageEnglish
Title of host publicationReal-time Systems
EditorsKuodi Jian
PublisherInTech
Chapter8
Pages141-170
ISBN (Electronic)978-953-51-2397-2
ISBN (Print)978-953-51-2398-9
DOIs
Publication statusPublished - 2016
MoE publication typeD2 Article in professional manuals or guides or professional information systems or text book material

Fingerprint

Subways
Intelligent control
Wireless sensor networks
Predictive control systems
Monitoring
Control systems
Processing

Keywords

  • environmental monitoring
  • real-time control
  • wireless sensor networks
  • performance evaluation
  • network design

Cite this

Carbonari, A., Vaccarini, M., Valta, M., & Nurchis, M. (2016). Wireless Real-Time Monitoring System for the Implementation of Intelligent Control in Subways. In K. Jian (Ed.), Real-time Systems (pp. 141-170). InTech. https://doi.org/10.5772/62679
Carbonari, Alessandro ; Vaccarini, Massimo ; Valta, Mikko ; Nurchis, Maddalena. / Wireless Real-Time Monitoring System for the Implementation of Intelligent Control in Subways. Real-time Systems. editor / Kuodi Jian. InTech, 2016. pp. 141-170
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Carbonari, A, Vaccarini, M, Valta, M & Nurchis, M 2016, Wireless Real-Time Monitoring System for the Implementation of Intelligent Control in Subways. in K Jian (ed.), Real-time Systems. InTech, pp. 141-170. https://doi.org/10.5772/62679

Wireless Real-Time Monitoring System for the Implementation of Intelligent Control in Subways. / Carbonari, Alessandro (Corresponding author); Vaccarini, Massimo; Valta, Mikko; Nurchis, Maddalena.

Real-time Systems. ed. / Kuodi Jian. InTech, 2016. p. 141-170.

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

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AB - This chapter looks into the technical features of state-of-the-art wireless sensors networks for environmental monitoring. Technology advances in low-power and wireless devices have made the deployment of those networks more and more affordable. In addition, wireless sensor networks have become more flexible and adaptable to a wide range of situations. Hence, a framework for their correct implementation will be provided. Then, one specific application about real-time environmental monitoring in support of a model-based predictive control system installed in a metro station will be described. In these applications, filtering, resampling, and post-processing functions must be developed, in order to convert raw data into a dataset arranged in the right format, so that it can inform the algorithms of the control system about the current state of the domain under control. Finally, the whole architecture of the model-based predictive control and its final performances will be reported.

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Carbonari A, Vaccarini M, Valta M, Nurchis M. Wireless Real-Time Monitoring System for the Implementation of Intelligent Control in Subways. In Jian K, editor, Real-time Systems. InTech. 2016. p. 141-170 https://doi.org/10.5772/62679