abidanBrito / murbin

Smart street lighting ecosystem.

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TABLE OF CONTENTS

  1. Motivation
  2. Technologies and Frameworks
  3. System Architecture
  4. Functionalities and Features
  5. Documentation
  6. Acknowledgements

MOTIVATION

This project is a team effort for our third semester class Internet of Things (IoT). It aims to implement smart streetlighting in a way that is not only efficient, but also provides some added functionalities and interaction with the user via an Android App.

TECHNOLOGIES AND FRAMEWORKS

Electronic Devices and Components

  • Raspberry Pi 3 B.
  • ESP32 Devkit v1 WiFi + Bluetooth.
  • M5Stack Modular Rapid Prototyping.
  • MQ-135 Gas Sensor Module.
  • DHT11 Temperature and Humidity Sensor Module.
  • KY-038 Microphone Sound Sensor Module.
  • HC-SR501 PIR Sensor Module.
  • Sonoff Touch with Tasmota Firmware.
  • Operational Amplifiers.
  • Yxo Yuxinou LED COB Chip (220-265V/AC, 20W, 3500k/450nm/380-780nm).
  • NeoPixel Ring - 24 x 5050 RGB LED with Integrated Drivers
  • Photodiode.
  • Resistors.
  • Relay.

Mobile / Cloud Platforms & Protocols

  • Android Things embedded Operating System.
  • Firebase.
  • MQTT.
  • UDP.

Software Development

  • Arduino IDE.
  • Android Studio.
  • FreeRTOS.

SYSTEM ARCHITECTURE (OUTDATED DIAGRAM)

System Architecture Diagram Refer to the documentation (spanish) for further details and schematics.

FUNCTIONALITIES AND FEATURES

  • High CO2 and Pollution Detection.
  • Temperature and Humidity Sensor.
  • Noise Sensor.
  • Motion Detection.
  • Luminosity Sensor.
  • Flashing LED alarms.
  • Interactive Mobile App (ON/OFF switch, sensor readings, geolocation, map subzones and different user roles).
  • Light Sleep Mode.
  • PCB design.
  • Dimming LED.

DOCUMENTATION

It can be found in the form of a PDF file for each and every Sprint, accordingly. Those of previous Sprints may contain errors (schematics, pins, etc.). Please, refer to the lastest version: technical documentation (spanish).

ACKNOWLEDGEMENTS

We would like to express our sincere gratitude to our professors for their invaluable support, feedback and encouragement throughout the development of this project, and to Universitat Politècnica de València for providing us with both the knowledge and the tools needed to complete it.

LICENSE

This repository is released under the MIT license. See LICENSE.md for more information.

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Smart street lighting ecosystem.

License:MIT License


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