Environmental Monitoring Systems in Schools’ Proximity Areas

  • Simona RiureanEmail author
  • Sebastian Rosca
  • Cosmin Rus
  • Monica Leba
  • Andreea Ionica
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 724)


This paper presents two research directions, both of them centered on the new available communication technologies that support Smart Cities concept applied into the crowded urban areas that aim to solve the issues of human health, especially for children. The automated monitoring of some of the main environmental parameters as well as data acquiring and analysis are planned to be done for a certain period of time in the schools’ proximity in Petrosani, part of the Jiu Valley area, one of the Romanian most crowded coal mining basin not long time ago. Both the monitoring system, data acquisition and the related hardware, software and communication support as well as the noise control mapping near some major high schools in our community, are presented in the paper.


Smart Cities Noise map Environmental health parameters 


  1. 1.
    Olesen, B.W.: International standards for the indoor environment. Int. J. Indoor Environ. Health 14(s7), 18–26 (2004)Google Scholar
  2. 2.
    Heutschi, K.: Lecture Notes on Acoustics I. Swiss Federal Institute of Technology, ETH, Institute for Signal - and Information processing, ISI, Zurich (2013)Google Scholar
  3. 3.
    Goelzer, B., Hansen, C., Sehrndt, G.: Occupational exposure to noise: evaluation, prevention and control. World Health Organisation, Geneva (2001)Google Scholar
  4. 4.
    EPA: Guidance Note for Strategic Noise Mapping. Environmental Protection Agency, Ireland (2011)Google Scholar
  5. 5.
    Shibata, T., et al.: Energy consumption and execution time characterization for the SensorTag IoT platform. In: XXXIV Simpsio Brasileiro de Telecomunicaes e Processamento de Sinais (SBrT 2016), pp. 55–59. Santarém, Brazil (2016)Google Scholar
  6. 6.
    Texas Instruments Multi-Standard Sensor Tag Design Guide.
  7. 7.
    Zhang, P., et al.: Enabling practical backscatter communication for on-body sensors. In: Proceedings of the 2016 Conference on ACM SIGCOMM 2016 Conference, pp. 370–383. ACM (2016)Google Scholar
  8. 8.
    Thenkabail, P.S.: (ed.). Remotely Sensed Data Characterization, Classification, and Accuracies, pp. 435–436. CRC Press, Boca Raton (2015)Google Scholar
  9. 9.
    Noise Tube Application.
  10. 10.
    Rey Gozalo, G., Barrigón Morillas, J.: Analysis of sampling methodologies for noise pollution assessment and the impact on the population. Int. J. Environ. Res. Public Health 13(5), 490 (2016)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Simona Riurean
    • 1
    Email author
  • Sebastian Rosca
    • 1
  • Cosmin Rus
    • 1
  • Monica Leba
    • 1
  • Andreea Ionica
    • 1
  1. 1.Department of Computer and Electrical EngineeringUniversity of PetrosaniPetrosaniRomania

Personalised recommendations