An Intelligent Fault Diagnosis Method for Street Lamps

Tang, Dongjun; Ding, Fulai; Deng, Boya; Zhang, Pingkang; Wang, Qing-Ming; Lv, Hui

doi:10.1109/ieit53597.2021.00073

Cited by 6 publications

(1 citation statement)

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“…Among the publications most similar in scope and approach, especially those focusing on monitoring and not control, Ref. [6] leaves it unclear whether the proposed solution has undergone a prototypical implementation. Instead of LoRaWAN, it employs NB-IoT for node communications and does not utilize a downlink for additional configuration.…”

Section: State Of the Artmentioning

confidence: 99%

A Retrofit Streetlamp Monitoring Solution Using LoRaWAN Communications

Schneider,

Goetze,

Krug

et al. 2024

Eng

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Ubiquitous street lighting is essential for urban areas. While nowadays, LED-based “smart lamps” are commercially available, municipalities can only switch to them in the long run due to financial constraints. Especially, older types of lamps require frequent bulb replacements to maintain the lighting infrastructure’s function. To speed up the detection of defects and enable better planning, a non-invasively retrofittable IoT sensor solution is proposed that monitors lamps for defects via visible light sensors, communicates measurement data wirelessly to a central location via LoRaWAN, and processes and visualizes the resulting information centrally. The sensor nodes are capable of automatically adjusting to shifting day- and nighttimes thanks to a second sensor monitoring ambient light. The work specifically addresses aspects of energy efficiency essential to the battery-powered operation of the sensor nodes. Besides design considerations and implementation details, the paper also summarizes the experimental validation of the system by way of an extensive field trial and expounds upon further experiences from it.

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Section: State Of the Artmentioning

confidence: 99%