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Intelligent Street Lamp Management System

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 517))

Abstract

In order to actively respond to the national strategy of green lighting, this paper designs and implements a smart street lamp management system based on solar street lamps, which uses multilayer distributed structure. With the embedded ARM microprocessor as the core, the bottom terminal combines with NB-IOT transmission technology, sensor technology, GPS positioning technology, electricity collection technology, and so on. The system is equipped with a good human–computer interaction platform, and collects information to the top-level database terminal with the network transmission technology of narrow band, realizing the effective collection and storage of city streetlight information. Through scientific and effective control and management of urban street lighting facilities such as line control, point control, and spot survey, the intelligent street lamp management system saves energy and improves work efficiency, and improves the modern management level and scientific means of urban lighting facilities. The system which has good stability and can effectively manage the solar streetlights was tested on the spot at Nantong University, so it has a good value of application and popularization.

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References

  1. Gong, Y., Han, P.: Research on energy-saving scheme based on led street lamp management-system. Appl. Mech. Mater. 448–453, 2850–2855 (2014)

    Google Scholar 

  2. Zhou, Y.: Design of intelligent street lamp management system under the background of wisdom city: a GIS-based exploration. J. Shunde Polytech. (2017)

    Google Scholar 

  3. Daely, P.T., Reda, H.T., Satrya, G.B., et al.: Design of smart LED streetlight system for smart city with web-based management system. IEEE Sens. J. 99, 1–1 (2017)

    Google Scholar 

  4. Jamaluddin, A., Aini, A.N., Adhitama, E., et al.: Assessment of LiFePO4 battery performance in stand alone photovoltaic street light system ☆. Procedia Eng. 170, 503–508 (2017)

    Google Scholar 

  5. Bellido-Outeiriño, F.J., Quiles-Latorre, F.J., Moreno-Moreno, C.D., et al.: Streetlight control system based on wireless communication over DALI protocol. Sensors 16(5), 597 (2016)

    Article  Google Scholar 

  6. Ramadhani, F., Bakar, K.A., Hussain, M.A., et al.: Optimization with traffic-based control for designing standalone streetlight system: a case study. Renew. Energy 105, 149–159 (2017)

    Article  Google Scholar 

  7. Ożadowicz, A., Grela, J.: Energy saving in the street lighting control system—a new approach based on the EN-15232 standard. Energy Effi. 10(3), 1–14 (2017)

    Google Scholar 

  8. Tannous, S., Manneh, R., Harajli, H., et al.: Comparative cradle-to-grave life cycle assessment of traditional grid-connected and solar stand-alone street light systems: a case study for rural areas in Lebanon. J. Clean. Prod. (2018)

    Google Scholar 

  9. Shahzad, K., Čuček, L., Sagir, M., et al.: A case study for developing eco-efficient street lighting system in Saudi Arabia. Chem. Eng. Trans. 52, 1141–1146 (2016)

    Google Scholar 

  10. Mahoor, M., Salmasi, F.R., Najafabadi, T.A.: A hierarchical smart street lighting system with brute-force energy optimization. IEEE Sens. J. 17(9), 2871–2879 (2017)

    Article  Google Scholar 

  11. Ding, Q., Sun, B., Zhang, X.: A traffic-light-aware routing protocol based on street connectivity for urban vehicular ad hoc networks. IEEE Commun. Lett. 20(8), 1635–1638 (2016)

    Article  Google Scholar 

  12. Ramakrishnareddy, C.K., Shunmugam, P., Vishwanathan, N.: Soft switched full-bridge light emitting diode driver configuration for street lighting application. IET Power Electron. 11(1), 149–159 (2018)

    Article  Google Scholar 

  13. Wu, L., Li, M., Pan, Z., et al.: Based on the internet of street lamp illumination by automatic control system. Int. J. Smart Home 9(12), 57–64 (2015)

    Article  Google Scholar 

  14. Osman, S.R., Rahim, N.A., Selvaraj, J., et al.: Single sensor charging system with MPPT capability for standalone streetlight applications. J. Power Electron. 15(4), 929–938 (2015)

    Article  Google Scholar 

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Acknowledgements

This work was supported by the open research project of Nantong Intelligent Information Technology Research Center (KFKT2017B05) of Nantong University and First phase project of Jiangsu university brand specialty construction project (PPZY2015B135). In addition, it has also been supported by the graduate student innovation program of Nantong University. The authors thank the three anonymous reviewers for their helpful suggestions.

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Correspondence to Shimin Wang or Yongjie Yang .

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Wang, S., Yang, Y. (2020). Intelligent Street Lamp Management System. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_74

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  • DOI: https://doi.org/10.1007/978-981-13-6508-9_74

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6507-2

  • Online ISBN: 978-981-13-6508-9

  • eBook Packages: EngineeringEngineering (R0)

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