Academic Project2023

Smart Lamp Linky Integration

IoT smart lighting system integrated with French national smart grid (Linky meters) for energy-aware illumination and consumption optimization

Project Overview

Developed an innovative smart lighting system that interfaces with France's national smart electricity grid through Linky smart meters. The system automatically adjusts lighting based on real-time energy consumption data and electricity pricing.

The Smart Lamp Linky project demonstrates France's commitment to smart grid technology

Technical Implementation

Linky Integration & Communication

  • TIC (Télé-Information Client) protocol implementation
  • Serial communication with Linky meter via UART
  • Real-time energy consumption data extraction
  • Electricity pricing information parsing (HCHP/HCHC)

Smart Lighting Control

  • ESP32 microcontroller for WiFi connectivity and processing
  • PWM-controlled LED strips for variable brightness
  • Motion sensors for automatic presence detection
  • Light intensity sensors for ambient light adaptation

Energy Management Algorithm

  • Dynamic brightness adjustment based on energy cost
  • Peak hour detection and consumption optimization
  • Predictive lighting patterns based on usage history
  • Emergency lighting mode during high consumption periods

Smart Features & Automation

Energy-Aware Dimming

Automatic brightness reduction during high-cost electricity periods

Peak Hour Management

Intelligent lighting scheduling to avoid peak consumption times

Presence Detection

Motion-activated lighting with customizable timeout settings

Ambient Adaptation

Natural light sensor integration for optimal illumination balance

Usage Analytics

Energy consumption tracking and optimization recommendations

Remote Control

Web interface for manual control and system configuration

Linky Smart Grid Integration

1

TIC Protocol Connection

Direct connection to Linky meter's Télé-Information Client interface

2

Real-time Data Processing

Parse consumption data, tariff information, and grid status updates

3

Smart Decision Making

Algorithm analyzes energy data to optimize lighting consumption

4

Automated Control

Dynamic lighting adjustment based on grid conditions and pricing

Technologies & Components

ESP32
TIC Protocol
UART
C++
PWM Control
LED Strips
Motion Sensors
Light Sensors
WiFi
Web Interface
HTML/CSS/JS
JSON
Linky Meter
Smart Grid
Energy Management
Real-time Processing

Technical Challenges & Solutions

Key Challenges

  • TIC protocol implementation and data parsing
  • Real-time processing of energy consumption data
  • Balancing energy savings with user comfort
  • Reliable communication with national grid infrastructure

Implemented Solutions

  • Robust serial communication with error handling
  • Efficient buffering and data structure optimization
  • Adaptive algorithms with user preference learning
  • Fallback modes and connection recovery mechanisms

Educational Impact & Smart Grid Future

Smart Grid Integration

Demonstrated practical integration with national energy infrastructure, showcasing the potential of IoT devices in smart grid ecosystems.

Energy Efficiency Innovation

Created an intelligent system that balances user comfort with energy conservation, contributing to sustainable technology development.

Future Applications

The project serves as a foundation for broader smart home applications that can integrate with national infrastructure for optimized resource management.