SafeCable – Real-time detection of power distribution cable theft with IoT support

• João Pedro Brasil Lima Instituto Atlântico
• Luis P. M. Uchôa Instituto Atlântico
• Thiago A. Santos Instituto Atlântico
• Alex F. R. Trajano Instituto Atlântico

DOI: https://doi.org/10.5753/sbrc_estendido.2024.1834

Abstract

The theft of electricity distribution cables is a chronic problem that causes interruptions in energy supply and socioeconomic impacts. Distribution companies face difficulties in accurately identifying these events, resulting in extra costs and delays in resolution. This article proposes SafeCable, an IoT system to identify thefts in real time and notify those responsible, allowing an agile response from energy distributors, reducing the impacts caused by theft.

References

Bianchi, F., Redmond, S. J., Narayanan, M. R., Cerutti, S., and Lovell, N. H. (2010). Barometric pressure and triaxial accelerometry-based falls event detection. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18(6):619–627.

Hwang, L.-C., Chen, C.-S., Ku, T.-T., and Shyu, W.-C. (2019). A bridge between the smart grid and the internet of things: Theoretical and practical roles of lora. International Journal of Electrical Power & Energy Systems, 113:971–981.

Lencwe, M., Chowdhury, S. D., and Olwal, T. (2018). Detection of underground power cable theft: Strategies and methods. In 2018 IEEE PES/IAS PowerAfrica, pages 1–9.

Mohd Chachuli, S. A., Mohd Nazri, S., Yusop, N., and Mohamad, N. R. (2020). Cable theft monitoring system (ctms) using gsm modem. Journal of Advanced Research in Applied Sciences and Engineering Technology, 2(1):57–66.

Tong, L., Song, Q., Ge, Y., and Liu, M. (2013). Hmm-based human fall detection and prediction method using tri-axial accelerometer. IEEE Sensors Journal, 13(5):1849–1856.