Evaluation of low-cost sensors for real-time water quality monitoring

  • Felipe Natã de Camargo Xavier Universidade Tecnológica Federal do Paraná
  • Leila Droprinchinski Martins Universidade Tecnológica Federal do Paraná
  • Marcio Seiji Oyamada Universidade Estadual do Oeste do Paraná
  • Fabio Alexandre Spanhol Universidade Tecnológica Federal do Paraná / Universidade Estadual do Oeste do Paraná
  • Fábio Rizental Coutinho Universidade Tecnológica Federal do Paraná
  • Felipe Walter Dafico Pfrimer Universidade Tecnológica Federal do Paraná
  • Edson Tavares de Camargo Universidade Tecnológica Federal do Paraná / Universidade Estadual do Oeste do Paraná

Resumo


Low-cost sensors have the potential to significantly reduce costs compared to reference devices. The problem, however, is that measurements from low-cost sensors can be unreliable when it comes to certifying water quality. This work investigates the possibility of using low-cost sensors to monitor water quality parameters and automate the monitoring process through the concept of the Internet of Things (IoT). The sensors evaluated are turbidity, temperature, dissolved oxygen and hydrogen potential. The evaluation of the sensors was performed both in a controlled environment with standard solutions and in a real environment. The results show that the sensors provide readings that are close to reference values when tested in a controlled environment, but some challenges remain when tested in the real world.

Palavras-chave: environmental monitoring, water quality, low-cost sensors, Internet of Things

Referências

A. N. de Águas ANA. (2021) Portal da qualidade das Águas. [Online].Available: http://portalpnqa.ana.gov.br/pnqa.aspx

K. Ashton, “That ’internet of things’ thing,” RFID Journal, 2010.[Online]. Available: http://www.rfidjournal.com/article/print/4986

ForlabExpress. (2020) Hanna hi98194. equipamento de medição multiparametro a prova de água de ph, turbidez, temperatura e oxigenio dissolvido. [Online]. Available: [link].

L. K. Baghel, S. Gautam, V. K. Malav, and S. Kumar, “Tempsense: Lora enabled integrated sensing and localization solution for water quality monitoring,” IEEE Transactions on Instrumentation and Measurement,vol. 71, pp. 1–11, 2022.

F. Akhter, H. R. Siddiquei, M. E. E. Alahi, K. Jayasundera, and S. C. Mukhopadhyay, “An iot-enabled portable water quality monitoring system with mwcnt/pdms multifunctional sensor for agricultural applications,” IEEE Internet of Things Journal, 2021.

N. J. Kinar and M. Brinkmann, “Development of a sensor and measurement platform for water quality observations: design, sensor integration, 3d printing, and open-source hardware,” Research Square, 2021. [Online]. Available: https://doi.org/10.21203/rs.3.rs-449278/v1.

Y. Wang, S. M. M. Rajib, C. Collins, and B. Grieve, “Low-cost turbidity sensor for low-power wireless monitoring of fresh-water courses,” IEEE Sensors Journal, vol. 18, pp. 4689–4696, 6 2018.

E. T. de Camargo, F. A. Spanhol, and A. R. C. e Souza, “Deployment of a lorawan network and evaluation of tracking devices in the context of smart cities,” J. Internet Serv. Appl., vol. 12, no. 1, p. 8, 2021.[Online]. Available: https://doi.org/10.1186/s13174-021-00138-7

E. T. de Camargo, F. A. Spanhol, and A. R. C. e Souza, “Deployment of a lorawan network and evaluation of tracking devices in the context of smart cities,” J. Internet Serv. Appl., vol. 12, no. 1, p. 8, 2021. [Online]. Available: https://doi.org/10.1186/s13174-021-00138-7

DFRobot. (2021) Turbidity sensor sen0189. [Online]. Available: https://wiki.dfrobot.com/Turbidity_sensor_SKU__SEN0189.

I. M. Hakimi and Z. Jamil, “Development of water quality monitoring device using arduino UNO,” IOP Conference Series: Materials Science and Engineering, vol. 1144, no. 1, p. 012064, may 2021. [Online]. Available: https://doi.org/10.1088/1757-899x/1144/1/012064.

DFRobot. (2022) Dfrobot ph library(github). [Online]. Available: https://github.com/DFRobot/DFRobot_PH

Atlas Scientific. (2021) Industrial d.o. probe env-50-do. [Online]. Available: https://files.atlas-scientific.com/Industrial-DO-probe.pdf

DFRobot. (2022) Sen0237 gravity analog dissolved oxygen sensor. [Online]. Available: [link].

Hanna Instruments. (2022) Hi9829 - medidor de ph, ise, ec, od e turbidez. [Online]. Available: [link].
Publicado
21/11/2022
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XAVIER, Felipe Natã de Camargo; MARTINS, Leila Droprinchinski; OYAMADA, Marcio Seiji; SPANHOL, Fabio Alexandre; COUTINHO, Fábio Rizental; PFRIMER, Felipe Walter Dafico; DE CAMARGO, Edson Tavares. Evaluation of low-cost sensors for real-time water quality monitoring. In: TRABALHOS EM ANDAMENTO - SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SISTEMAS COMPUTACIONAIS (SBESC), 12. , 2022, Fortaleza/CE. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 56-61. ISSN 2763-9002. DOI: https://doi.org/10.5753/sbesc_estendido.2022.228152.