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Research and Design of an Intelligent Street Lamp Control System Based on NB-IoT

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Abstract—

This paper designs an intelligent street lamp control system based on narrowband internet of things (NB-IoT) technology to achieve intelligent control and management of urban street lamps. The system utilizes the latest NB-IoT technology, embedded technology, sensor technology, cloud computing technology, etc., to realize data acquisition, transmission and processing of street lamp equipment. Combined with light sensors and PWM or 0–10 V dimming modes, the system can automatically or remotely adjust the brightness and switch of street lamps according to the demand and environmental conditions, and monitor and record the current, voltage, power and other data of street lamps. The system can also timely to alarm and analyze in case of faults, and realize convenient control and management through mobile APP. The system can reduce the energy consumption and management cost of street lamp system, to improve the intelligence level of street lamp control and management, and provide an effective solution for smart city construction.

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REFERENCES

  1. Zhan, H., Jia, S., and Jiang, Sh., Design and implementation of solar LED street light system based on the Internet of Things,, 2017, vol. 41, no. 7, pp. 1039–1041.

  2. Song, H., Wang, Yi., and Yang, F., Design and implementation of intelligent street lamp control system based on narrowband Internet of Things, Mod. Electron. Technol., 2019, no. 2, pp. 172–176.

  3. Zheng, T., Sun, G., and Zhang, H., WEBGIS energy management and control system based on NB IoT, Electron. Technol. Software Eng., 2018, no. 15, pp. 15–16.

  4. Zeng, X. and Zhou, J., A commissioning scheme for terminal fast access to China Telecom’s Internet of Things open platform, Shandong Commun. Technol., vol. 2018, no. 1, pp. 9–11.

  5. Ge, Ch. and Zhang, L., Electric energy conservation, street light first—Thinking on urban low-carbon operation based on energy contract management, Green Building Mater., 2018, no. 3, pp. 177–178.

  6. Guo, J. and Wang, Yi., Discussion on energy-saving technical measures for urban street lighting, Power Equipment Manage., 2021, no. 4, pp. 115–116+124.

  7. Wu, J., Design and implementation of a dual-mode street lamp control system based on LoRa and NB-IOT, Electron. Technol. Software Eng., 2019, no. 20, pp. 2–3.

  8. Lin, J., Design of intelligent street lamp monitoring system based on narrowband Internet of Things, J. Mianyang Normal Univ., 2019, no. 5, pp. 39–43.

  9. Khan, S.Z., Le Moullec, Ya., and Alam, M.M., An NB-IoT-based edge-of-things framework for energy-efficient image transfer, Sensors, 2021, vol. 21, no. 17, p. 5929. https://doi.org/10.3390/s21175929

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  10. Chen, M., Miao, Yi., Hao, Yi., and Hwang, K., Narrow band Internet of Things, IEEE Access, 2017, vol. 5, pp. 20557–20577. https://doi.org/10.1109/access.2017.2751586

    Article  Google Scholar 

  11. Yau, Ch.-W., Jewsakul, S., Luk, M.-H., Lee, A.P.Y., Chan, Yu.-H., Ngai, E.C.H., Pong, P.W.T., Lui, K.-Sh., and Liu, J., NB-IoT coverage and sensor node connectivity in dense urban environments: An empirical study, ACM Trans. Sensor Networks, 2022, vol. 18, no. 3, p. 49. https://doi.org/10.1145/3536424

    Article  Google Scholar 

  12. Kamolklang, T. and Uthansakul, M., Real-time automatic beam-tracking for Nb-IoT, Suranaree J. Sci. Technol., 2021, vol. 28, no. 3, p. 010054.

    Google Scholar 

  13. Zhong, H., Sun, R., Mei, F., Chen, Yo., Jin, F., and Ning, L., Deep grid scheduler for 5G NB-IoT uplink transmission, Secur. Commun. Networks, 2021, vol. 2021, p. 5263726. https://doi.org/10.1155/2021/5263726

    Article  Google Scholar 

  14. Zayas, A.D., Tocado, F.J.R., and Rodriguez, P., Evolution and testing of NB-IoT solutions, Appl. Sci., 2020, vol. 10, no. 21, p. 7903. https://doi.org/10.3390/app10217903

    Article  CAS  Google Scholar 

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Funding

2023 National College Students Innovation and Entrepreneurship Training Program Project Funding Project no. 202310058028.

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Authors and Affiliations

  1. Tiangong University, 300387, Tianjin, China

    Yijun Mai, Mingjing Li, Yingbo Pei, Hongbing Wu & Zhenyao Su

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  1. Yijun Mai
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  2. Mingjing Li
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  3. Yingbo Pei
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  4. Hongbing Wu
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  5. Zhenyao Su
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Correspondence to Yijun Mai.

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Yijun Mai, Li, M., Pei, Y. et al. Research and Design of an Intelligent Street Lamp Control System Based on NB-IoT. Aut. Control Comp. Sci. 58, 78–89 (2024). https://doi.org/10.3103/S0146411624010097

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