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This work describes the conceptualization and deployment of a LoRaWAN (Long Range Wide Area Network) and STM32-based Campus-Wide Lighting System energy management. The system is designed to monitor energy usage successfully reducing operational costs and encouraging sustainability initiatives. It employs LoRa technology to facilitate long-range communication and Blynk Cloud for live data monitoring with seamless remote management. The transmitter node, which consists of PIR motion sensors, current sensors, and an STM32 microcontroller, detects occupancy and the present load of classroom lighting fixtures. The information is sent through a LoRa module to a receiving node that is outfitted with another STM32 microcontroller and an ESP32 module, which uploads the information to the Blynk cloud platform. Users can view real-temporal energy use and receive notifications through a mobile app, thus promoting informed decision-making. The system’s benefits include real-time surveillance, less energy loss, remote access, and less carbon footprint.

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LoRaWAN and STM32 Based Lighting System for Smart Campus

  • 会议论文

  • 发表日期：

    2026年

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  • Leo Raju,
  • N. Arthika,
  • V. Lokapriya

摘要

This work describes the conceptualization and deployment of a LoRaWAN (Long Range Wide Area Network) and STM32-based Campus-Wide Lighting System energy management. The system is designed to monitor energy usage successfully reducing operational costs and encouraging sustainability initiatives. It employs LoRa technology to facilitate long-range communication and Blynk Cloud for live data monitoring with seamless remote management. The transmitter node, which consists of PIR motion sensors, current sensors, and an STM32 microcontroller, detects occupancy and the present load of classroom lighting fixtures. The information is sent through a LoRa module to a receiving node that is outfitted with another STM32 microcontroller and an ESP32 module, which uploads the information to the Blynk cloud platform. Users can view real-temporal energy use and receive notifications through a mobile app, thus promoting informed decision-making. The system’s benefits include real-time surveillance, less energy loss, remote access, and less carbon footprint.