ISSN E 2409-2770
ISSN P 2521-2419

Operation and Fault Monitoring of Electric Generator using IOT



Vol. 7, Issue 03, PP. 178-182, March 2020

DOI

Keywords: gaugel sensor, controller, reomote monitoring, WIFI module, temperature sensor

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The reliable and quality power supply is vital for power system operation. Its importance become significant when dealing with sensitive load areas like hospitals, banks, airports, radar system, military offices and data centers. Their proper operation depends on uninterrupted and reliable power supply. In this regard, there is an emergent need to provide generator backup capacity in the events of power failure or blackout. These Generators can only be effective if they are maintained and operated properly. Problems like the remote monitoring of fuel tank, total load and the battery voltage of the generator are of main concern for better operation. To prevent these problems, the advance IOT based monitoring system is designed using an Arduino controller board. This system uses the fuel gauge for sensing the fuel level and a current transformer measures the load on generator, giving real time analogue data to the controller. The data is converted into digital through an ADC convertor and the instructions are programmed for every parameter in an IDE (Integrated Development Environment). This data can also be monitored on an android app or on laptop using esp8266 WIFI module as an interface between controller and clouds. A hardware based prototype is developed and installed on real generator. Results show real time remote monitoring of generator ensuring its reliable operation and timely indication of need of maintenance.


  1. Jawad Ul Islam, , Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan.
  2. Muhammad Azaz, , Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan.
  3. Syed Abuzar Bacha, , Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan.
  4. Sajad Ullah, , Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan.

Jawad Ul Islam Muhammad Azaz Syed Abuzar Bacha Sajad Ullah "Operation and Fault Monitoring of Electric Generator using IOT" International Journal of Engineering Works Vol. 7 Issue 03 PP. 178-182 March 2020 https://doi.org/10.34259/ijew.20.703178182


  1. Muhammad Asif et al “Context Aware Fuel     Monitoring System for Cellular Sites”

  2. Gbenga et al “Design, construction, and implementation of remote fuel-level monitor system” in EURASIP Journal on Wireless Communications and Networking2014:76

  3. Sadeque Reza Khan et al “Real Time Generator Fuel Level Measurement Meter Embedded with Ultrasound Sensor and Data Acquisition System” in Journal of Automation and Control Engineering Vol. 1, No. 4, December 2013.

  4. J A Gundar et al “Mechatronic design solution for fuel level monitoring using pressure sensor” Published in: Asia-Pacific World Congress on Computer Science and Engineering IEEE Xplore05 March 2015.

  5. Areeg Abubakr Ibrahim Ahmed et al “Fuel management system” Published in: 2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE) on 02 March 2017.

  6. Senthil Raja et al “DETECTION OF FUEL THEFT IN HEAVY VEHICLE” International Journal of Advanced Engineering Technology E-ISSN 0976-3945.

  7. Abel Avitesh Chandra et al “Cloud Based Real-time Monitoring and Control of Diesel Generator using the IoT Technology”.

  8. An Introduction to the Internet of Things (IoT)’, Lopez Research, 2013.

  9. Madakam, S., Ramaswamy, R., and Tripathi, S.: ‘Internet of Things (IoT): A literature review’, Journal of Computer and Communications, 2015, 3, (05), pp. 164.

  10. Sushil BhardwajA STUDY OF INFRASTRUCTURE AS A SERVICE (IAAS)” IJEIT 2010, 2(1), 60-6.

  11. N. Khan and S. A. Bacha, "Proposing Optimal ARMA Based Model for Measurement Compensation in the State Estimation," 2017 International Conference on Frontiers of Information Technology (FIT), Islamabad, 2017, pp. 299-304.

  12. Naeem Khan, Syed Abuzar Bacha, Shahrukh Ahmad, Afrasiab, “Improvement of compensated closed-loop Kalman filtering using autoregressive moving average model”, Measurement 134(2019) 266-279.