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Developing an IoT Based Water Pollution Monitoring System

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Image Processing and Capsule Networks (ICIPCN 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1200))

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Abstract

In the area of technological studies Internet of things (IoT) has become an interesting subject matter. It is the interconnection of things with each other over the internet. Average people often assume IoT in phrases of self-sustaining vehicles and smart houses; however, a number of the great programs of the IoT era are in intensely practical fields. One such example is the ‘water pollution monitoring system’. With the growth of the populace and industrialization of nations at some point in the globe, water pollution has ended up a major concern for anyone. With the assist of the era, researchers have added IoT primarily based smart water pollutants tracking machine that ensures a discounted amount of time and power required to provide analytical offerings. In this task, the design of IoT based water pollutants tracking machine is proposed, which can screen the high-quality water in real-time. This device includes a few sensors which degree the water quality parameter inclusive of pH, Total Dissolved Solids (TDS), and temperature. The deliberate qualities from the sensors are prepared with the aid of a microcontroller named Arduino and transmitted to the middle controller this is NodeMcu via Serial Wire communication. Then NodeMcu passes the facts into internet-server via wireless. Finally, sensor results can view internet browser software and phone the usage of the android app. The goal is to make the machine clean for the rural location of Bangladesh, which is an absence at the back of the proper water pollutants tracking gadget. So, remote tracking and guidance focus by sharing statistics in an authenticated manner is the main aim.

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Author information

Authors and Affiliations

  1. Department of CSE, Chittagong University of Engineering and Technology, Chattogram, Bangladesh

    Md. Mazharul Islam, Mohammad Shamsul Arefin & Atqiya Munawara Mahi

  2. Department of CSE, Bangladesh University of Business and Technology, Dhaka, Bangladesh

    Sumi Khatun

  3. Department of CSE, Port City International University, Chattogram, Bangladesh

    Miftahul Jannat Mokarrama

Authors
  1. Md. Mazharul Islam
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  2. Mohammad Shamsul Arefin
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  3. Sumi Khatun
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  4. Miftahul Jannat Mokarrama
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  5. Atqiya Munawara Mahi
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Corresponding author

Correspondence to Mohammad Shamsul Arefin .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Dayeh University, Changhua, Taiwan

    Joy Iong-Zong Chen

  2. Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  3. Department of Electronics and Computer Engineering, Tribhuvan University, Lalitpur, Nepal

    Subarna Shakya

  4. College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

    Abdullah M. Iliyasu

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Islam, M.M., Arefin, M.S., Khatun, S., Mokarrama, M.J., Mahi, A.M. (2021). Developing an IoT Based Water Pollution Monitoring System. In: Chen, J.IZ., Tavares, J.M.R.S., Shakya, S., Iliyasu, A.M. (eds) Image Processing and Capsule Networks. ICIPCN 2020. Advances in Intelligent Systems and Computing, vol 1200. Springer, Cham. https://doi.org/10.1007/978-3-030-51859-2_51

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