SMART ELECTRICITY THEFT ESTIMATION USING ANDROID

Authors

  • K.B. Sai Aravind Professor, Department of CSE, RISE Krishna Sai Prakasham Group of Institutions, Ongole, AP, India Author
  • Dr.J.Mohana Research Scholar, Department of CSE, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal, MP, India Author

DOI:

https://doi.org/10.61841/jepzx417

Keywords:

Iot, Home, Sensors, Arduino UNO, WSN

Abstract

In this paper, we implement a system that calculates the unit of current consumption through the unit of current and voltage sensors. The sensor is mounted in the EB meter. This paper proposes the smart energy meter with reading indicator using IoT built to decrease the bill for power consumption by providing the consumer with a warning message for the energy meter reading before raising the unit charge. We can get current consumption by gaining the sensor value. Upon receiving current consumption, the unit given to a specific user will be that by Arduino UNO. The unit is known as a numerical value. This will inform the user via IoT module and Android Mobile if the device is reduced to a minimum value. If the user wants to add more units to the EB list, he / she must send a message. The required value is sent to the Arduino controller via IoT modem from the EB section. The Arduino UNO will increase the unit in the memory from the value obtained. Thus, the process of recharging is done quickly with fewer manual interactions. Our system can be used for industrial control, medical systems, and management of access. Live meter readings from the energy meter activated by IoT are regularly forwarded back to this billing point, and this information is stored in a database. The customer can also monitor the electricity status from anywhere. It makes the measurement readings easy to take with precision. 

Downloads

Download data is not yet available.

References

1. Vijayaraj, A., and Saravanan, R. Automated EB billing system using GSM and ad-hoc wireless routing. International Journal of Engineering and Technology, 2(5), pp. 343-347, 2010.

2. Quazi, Irfan, Sachin Kumar Gupta, and Rajendra Prasad. "Pre-paid energy meter based on AVR microcontroller." International Journal of Engineering Research and Applications (IJERA) 1, no. 4, 1879-1884, 2018.

3. Sahu, Deepakraj, and Chaitanya Prasad Murmu. "A Remote Electricity Billing System." PhD diss., 2012.

4. Rathnayaka, M. R. M. S. B., I. D. S. Jayasinghe, Swarnajith EnitJayanth, Manamendra SI, and Wimalaratne G. MASC. "Mobile-based electricity billing system (MoBEBIS)." International Journal of Scientific and Research Publications 3, no. 4, 1-5, 2013.

5. Gobhinath, S., Gunasundari, N., and Gowthami, P., “Internet of Things (IOT)-Based Energy Meter," International Research Journal of Engineering and Technology (IRJET), e-ISSN: 2395-0056.

6. Anushree, S. V., and T. Shanthi. "IoT-Based Smart Energy Meter Monitoring and Theft Detection Using ATMEGA." International Journal of Innovative Research in Computer and Communication Engineering 4, no. 11, 19801-1980S, 2016.

7. Kurkute, S. R., Gopal Girase, and Prashant Patil. "Automatic energy meter reading system using GSM technology." Telecommun. Syst. 4, no. 3, 2016.

8. Sahani, Birendrakumar, Tejashree Ravi, Akibjaved Tamboli, and Ranjeet Pisal. "IoT-based smart energy meter." International Research Journal of Engineering and Technology (IRJET) 4, no. 04, 96-102, 2017.

9. Leelavathi, M., and K. Aswini. "Smart Energy meter with reading indication using GSM." IRJET 2, 2015.

10. Dr. Dilip D. Chaudhary, Sudarshan Vitthal Gite, “Smart Electric Meter Reading and Monitoring,” IJAREEIE, 2016.

11. Vani, G., and V. Usha Reddy. "Application of Smart Energy Meter in Indian Energy Context." IOSR Journal of JEEE 10, no. 3, 07-13, 2015.

12. Rastogi, Shikha, Manisha Sharma, and Pratibha Varshney. "Internet of Things-based smart electricity meters." International Journal of Computer Applications 133, no. 8, 13-16, 2016.

13. Nemani, Sagar Venkateshwar, Divyanshu Shahi, and I. K. Vibhav. "Design and Implementation of Digital Energy Meters with Power Factor Measurement and Load Indication Feature." IEEE 8th Power India International Conference (PIICON), pp. 1-6, 2018.

14. Maharaja, D., & Shaby, M. (2017). “Empirical Wavelet Transform and GLCM Features Based Glaucoma Classification from Fundus Image.” International Journal of MC Square Scientific Research, 9(1), 78-85.

15. Saravanan, N. (2013). “Hand Geometry Recognition based on Optimized K-means Clustering and Segmentation Algorithm.” International Journal of MC Square Scientific Research, 5(1), 11-14.

Downloads

Published

30.04.2020

How to Cite

Sai Aravind, K., & J., M. (2020). SMART ELECTRICITY THEFT ESTIMATION USING ANDROID. International Journal of Psychosocial Rehabilitation, 24(2), 5859-5866. https://doi.org/10.61841/jepzx417