Internet of Things (Iot) Based Smart Water Quality Monitoring System

  • Authors

    • K Spandana
    • V R. Seshagiri Rao
    2018-07-04
    https://doi.org/10.14419/ijet.v7i3.6.14985
  • wireless sensor network (WSN), water parameters, Internet of things (IOT), WI-FI.
  • The economical and effective system of water quality observation is the toughest implementation of impure water. Drinking water could be terribly precious for all people as water utilities face more challenges. These challenges arise due to high population, less water resources etc. So, different methods are used to monitor in the real time water quality. To make sure that safe distribution of water is done, it should be monitored in real time for new approach in IOT based water quality has been projected. Real time water quality observation is monitored by data acquisition, method and transmission with increase in the wireless device network technology in internet of things. The measured values from the sensors are interfaced by microcontroller and the processed values remotely to the core controller ARM with a WI-FI protocol. This projected water quality observation interfaces sensors with quality observation with IOT setting. WQM selects parameters of water like temperature, pH level, water level and CO2 by multiple different device nodes. This methodology sends the information to the web server. The data updated at intervals within the server may be retrieved or accessed from anyplace within the world. If the sensors do not work or get into abnormal conditions then a buzzer will be ON.

     

  • References

    1. [1] Li S, Xu L, Wang X & Wang J, “Integration of Hybrid Wireless Networks in Cloud Services Oriented Enterprise Information Systemsâ€, Enterp. Inf. Syst., Vol.6, No.2, (2012), pp.165–187.

      [2] Heinzelman WR, Kulik J & Balakrishnan H, “Adaptive protocols for information dissemination in wireless sensor networksâ€, Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, (1999), pp.174-185.

      [3] Sharma H & Sharma S, “A Review of Sensor Networks: Technologies and Applicationsâ€, Recent Advances in,Engineering and Computational Sciences (RAECS), (2014) pp.1–4.

      [4] Godavarthi B & Nalajala P, “Design and Implementation of Vehicle Navigation System in Urban Environments using Internet of Things (IoT)â€, IOP Conf. Series: Materials Science and Engineering, Vol.225, (2017).

      [5] Jing M, “The Design of Wireless Remote Monitoring System of Water Supply Based on GPRSâ€, International Symposium on Computer Science and Society (ISCCS), (2011), pp.29-31.

      [6] Purohit A & Gokhale U, “Real Time Water Quality Measurement System based on GSMâ€, IOSR Journal of Electronics and Communication Engineering, Vol.9, No.3, (2014), pp.63-67.

      [7] Chen S, Xu H, Liu D, Hu B & Wang H, “A vision of IoT: Applications, challenges, and opportunities with china perspectiveâ€, IEEE Internet of Things journal, Vol.1, No.4,(2014), pp.349-359.

      [8] Nalajala P, Godavarth B, Lakshmi Raviteja M & Simhadri D, “Morse code Generator Using Microcontroller with Alphanumeric Keypadâ€, International Conference on Electrical, Electronics, and Optimization Techniques, (2016), pp.762-766.

      [9] Stankovic JA, “Research directions for the Internet of Thingsâ€, IEEE Internet Things J., Vol.1, No.1, (2014), pp.3–9.

      [10] Nalajala P & Bhagya Lakshmi S, “A Secured IoT Based Advanced Health Care System for Medical Field using Sensor Networkâ€, international journal of engineering &Technology, Vol.7, (2018), pp.105-108.

      [11] Bhatt J & Patoliya J, “Iot Based Water Quality Monitoring Systemâ€, IRFIC, (2016).

      [12] Rao T, Ling Q, Yu B & Ji H, “Estimate the densities of pollutions in water quality monitoring systems based on UV/vis spectrumâ€, The 26th Chinese Control and Decision Conference, (2014), pp. 2984-2989.

  • Downloads

  • How to Cite

    Spandana, K., & R. Seshagiri Rao, V. (2018). Internet of Things (Iot) Based Smart Water Quality Monitoring System. International Journal of Engineering & Technology, 7(3.6), 259-262. https://doi.org/10.14419/ijet.v7i3.6.14985