Iot Based Weather Station Using Raspberry Pi 3

  • Authors

    • P Y Muck
    • M J Homam
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.30.22085
  • Google Cloud Platform, Internet of Things, Raspberry Pi, SparkFun Weather Shield and Meter, Weather prediction
  • Weather is the day-to-day state of atmosphere that is hard to predict which affects the activities of mankind and has great significance in many different domains. However, the current weather station in the market is expensive and bulky which cause inconvenience. The aim of this project is to design a weather station with real time notifications for climatology monitoring, interface it to a cloud platform and analyse weather parameters. In this project, a weather station is assembled using SparkFun Weather Shield and Weather Meter and Arduino Uno R3 to collect weather parameters. Data collected from the sensors are then stored into Google Cloud SQL using Raspberry Pi 3 Model B which acts as a gateway between them and analysis of weather data are done. A website and mobile application are developed using Google Data Studio and Android Studio respectively to display the real-time weather conditions in graphical presentation which are accessible by administrator and users. Users will receive notification regarding the weather conditions at that particular place on social media platform regularly and irregularly. Weather prediction is done in short term which allows users to get themselves prepared for their future plan in the next thirty minutes.

  • References

    1. [1] Aguado E & Burt J, Understanding Weather and Climate, 6th ed. Boston [Mass.]: Pearson Education, Inc., (2013).

      [2] Kodali R & Mandal S, “IoT based weather stationâ€, 2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kumaracoil, India, pp. 680-683, (2016).

      [3] Ruano AE, Mestre G, Duarte H & Silva S, “A neural network based intelligent weather stationâ€, 2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP), Siena, Italy, pp. 1-6, (2015).

      [4] Yash M, Anshika M & Bhateja D, “Correlation among environmental parameters using an online smart weather station systemâ€, India Conference (INDICON), 2015 Annual IEEE, New Delhi, India, pp. 1-6, (2015).

      [5] Gustavo CD, Alonso MG & Felipe RM, “Monitoring system of a weather station via IPâ€, ANDESCON, 2010 IEEE, Bogota, Colombia, pp. 1-6, (2010).

      [6] Satyanarayana KNV, Reddy SRN, Sai Teja PVYN & Habibuddin B, “IOT Based Smart Weather Station Using Raspberry-PI3â€, Journal of Chemical and Pharmaceutical Sciences, Vol. 2016, No. 10, pp. 1-6, (2016).

      [7] Savić T & Radonjić M, “One approach to weather station design based on Raspberry Pi platformâ€, 2015 23rd Telecommunications Forum Telfor (TELFOR), Belgrade, Serbia, pp. 623-626, (2015).

      [8] Krejcar O, “Low cost weather station with remote controlâ€, 2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI), Herl'any, Slovakia, pp. 463-468, (2012).

      [9] Mircea P & Catalin I, “Embedded weather station with remote wireless controlâ€, 2011 19th Telecommunications Forum (TELFOR) Proceedings of Papers, Belgrade, Serbia, pp. 297-300, (2011).

      [10] Saini H, Thakur A, Ahuja S, Sabharwal N & Kumar N, “Arduino based automatic wireless weather station with remote graphical application and alertsâ€, 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, pp. 605 – 609, (2016).

      [11] Rafael L, Jorge A, Jose P & Tomas S, “Ultra low power wireless weather stationâ€, 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007), Valencia, Spain, pp. 469-474, (2007).

  • Downloads

  • How to Cite

    Muck, P. Y., & Homam, M. J. (2018). Iot Based Weather Station Using Raspberry Pi 3. International Journal of Engineering & Technology, 7(4.30), 145-148. https://doi.org/10.14419/ijet.v7i4.30.22085