Wireless sensor network for street lighting control

Burtsev, A. G.; Kolesnichenko, D. A.; Vodovozov, Alexander; Akhmetov, T. R.

doi:10.1145/3388984.3390875

Cited by 1 publication

(2 citation statements)

References 2 publications

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“…The research conducted was almost the same as previous research (Adriansyah et al, 2020;Burtsev et al, 2020). Difference the lies in the use of sensors used in study this, namely the voltage sensor, the ACS712 current sensor and the LDR sensor.…”

Section: Introductionmentioning

confidence: 99%

“…Because of it, a system that allows monitoring condition lighting road distance remote and real-time required for increase efficiency management and repair is highly required. PJU monitoring systems have been developed in several studies by integrating IoT (Adriansyah et al, 2020) and WSN systems (Burtsev et al, 2020). By applying these two technologies, the monitoring process can be carried out in real-time.…”

Section: Introductionmentioning

confidence: 99%

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Public Street Lighting Monitoring System Uses Telegram-Based Application Wireless Sensor Network

Ilham Muhyidin Nabil,

Adnan Rafi Al Tahtawi,

Supriyanto

2024

ASIIMETRIK

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Public Street Lighting (PJU) usually operates all night until early morning without a remote device to adjust the conditions. In monitoring the PJU lights, the officers are still carrying out their duties manually by visiting the place. This study aims to build a PJU monitoring system tool by utilizing the NodeMCU ESP32 as a microcontroller and a wifi module, which will later send notifications via the Telegram Bot. This system uses the ACS712 current sensor to detect the value of the current flowing in public street lighting installations, the VDC voltage sensor to detect the voltage value, and the LDR sensor to detect light. The read data will be processed by ESP32, which will then be sent to the Telegram Bot. The result of this study is a PJU monitoring tool. With this tool, officers can remotely monitor the PJU lights' condition. The Telegram bot will send notification messages to officers at 07.00 and 19.00. In addition, officers can ask about the state of the lights by instructing "cek pju" to the Telegram Bot. The system has been successfully implemented and operates normally and optimally, demonstrating its efficacy in practical testing

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%