IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i6idhcseit1726317.html

Water Quality Data Transfer and Monitoring System in IOT Environment : A Survey

Author

Listed:
  • Supriya R. Khaire
  • Revati M. Wahul

Abstract

Habitually water quality monitoring commands to manually accumulation of water representations and Commission to the lab for examining and investigating. To conquer this laborious culmination and to promote a low-potential, low-cost and configurable system to guarantee water quality for secured drinking water to the environment. The system which can be utilized in a distant area to assemble the information concerning, water level, water PH, water temperature, and carbon dioxide quantity present in water. In this paper, we are achieving a system for monitoring the water quality and accommodating innovative technologies such as IoT (Internet of Things), WSN’s (Wireless sensor network) and communication pattern. This reconfigurable water quality monitoring system lives of water parameter Sensors, an ARM-based microcontroller (STM32 Nucleo), ZigBee communication module and a personal computer. The ARM-based microcontroller board (STM32 Nucleo) is programmed on STM32CubeMX software in C programming language. simultaneously we are collecting four parameters of water such as Water temperature, Water PH, the water level in real time and carbon dioxide present in water. ZigBee protocol is used for isolated position data transfer from a microcontroller to devoted computers, which will be factoring the captured data in a graphical plot.

Suggested Citation

  • Supriya R. Khaire & Revati M. Wahul, 2017. "Water Quality Data Transfer and Monitoring System in IOT Environment : A Survey," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 1278-1282, December.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1726317
    Note: Article URL: https://ijsrcseit.com/CSEIT1726317
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1726317
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT1726317.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1726317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.