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IoT based pollution monitoring and health correlation: a case study on smart city

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Abstract

We are living in a world which is connected to the internet, and as a result, a significant amount of data is being generated which can be processed using efficient methods for the technology development for the mankind. This paper focuses on the implementation of the HUT architecture for analyzing the IoT data, for the pollution control of a smart city. We propose our solution in a real-world smart city use case by obtaining the correlation between different types of gases responsible for pollution and further predicting the solutions for the prevention of pollution in real time.

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Notes

  1. Cisco: Smart + Connected Communities. http://www.cisco.com/web/strategy/.

  2. Cisco: The internet of everything for cities. http://www.cisco.com/web/about/ac79/docs/ps/motm/IoE-Smart-City_PoV.pdf.

  3. IBM: The Internet of Things. http://www-01.ibm.com/software/info/internetof-things/.

  4. IBM and Libelium launch Internet of Things starter kit. http://www-03.ibm.com/press/us/en/pressrelease/42227.wss.

  5. Lambda architecture, http://lambda-architecture.net/.

  6. An ingestion and analytics architecture for IoT applied to smart city use cases (2017). http://ieeexplore.ieee.org/document/7964673/authors?ctx=authors.

  7. Taiwan Air Quality Monitoring Network https://taqm.epa.gov.tw/taqm/en/.

  8. Matplotlib Documentation https://matplotlib.org/contents.html.

  9. Root mean square error (RMSE) or mean absolute error (MAE)? (2014) https://www.researchgate.net/publication/262980567_Root_mean_square_error_RMSE_or_mean_absolute_error_MAE.

  10. Core XGBoost Documentation http://xgboost.readthedocs.io/en/latest/python/python_api.html.

  11. AQI Calculator https://airnow.gov/index.cfm?action=airnow.calculator (Table 1)].

  12. AQI and Health Correlation: https://airnow.gov/index.cfm?action=aqi_brochure.index.

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Authors and Affiliations

  1. School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Debadri Dutta, O. P. Acharya & S. K. Mohapatra

  2. School of Computer Science Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Akshit Pradhan

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  1. Debadri Dutta
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  2. Akshit Pradhan
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  3. O. P. Acharya
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  4. S. K. Mohapatra
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Correspondence to O. P. Acharya.

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Dutta, D., Pradhan, A., Acharya, O.P. et al. IoT based pollution monitoring and health correlation: a case study on smart city. Int J Syst Assur Eng Manag 10, 731–738 (2019). https://doi.org/10.1007/s13198-019-00802-z

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