Smart_Home_Automation
A smart embedded system project that controls lights and a fan using an **ATmega328P** microcontroller, simulated with **Picsimlab**
This project aims to implement a smart home automation system by connecting various household devices through a network using Arduino and the W5500 Ethernet module, enabling remote control. It collects data from sensors and automatically controls devices such as lighting, temperature, and motion sensors. Integrated with the Blynk app, users can conveniently manage the system via their smartphones. The system offers efficient and reliable smart home operation through stable TCP/IP communication and optimized MCU code.
Main Technologies Used
Arduino MCU: Acts as the central controller, processing sensor data and handling user commands and automation logic.
W5500 Ethernet Module: Provides a hardware TCP/IP stack for reliable wired network connectivity.
Blynk Platform: Offers a mobile interface for remote monitoring and control of IoT devices.
PICSimLab Simulator: Enables virtual simulation of the MCU, peripherals, and network operation for early-stage development and debugging without physical hardware.
KEY FEATURES
| Feature | Description |
|---|---|
| Real-time Sensor Data Collection and Control | Collects data from various sensors in real-time and automatically controls devices. |
| Stable Wired Ethernet Communication | Utilizes the W5500 module’s hardware TCP/IP stack for highly reliable network connectivity. |
| Integration with Mobile App (Blynk) | Provides intuitive UI for remote monitoring and control via smartphone. |
| Optimized MCU Code | Efficiently runs within limited resource environments through code optimization. |
| Simulator-based Development and Testing | Uses PICSimLab to verify integrated system operation without physical hardware. |
| Modular and Extensible Architecture | Designed flexibly to easily add various sensors and actuators. |
SYSTEM ARCHITECTURE
| Component | Role and Description |
|---|---|
| Sensor Nodes | Various sensors that collect environmental data such as temperature, lighting, and motion. |
| Arduino MCU | Processes sensor data, executes automation logic, and handles user commands. |
| W5500 Ethernet Module | Manages TCP/IP network communication and connects the MCU to external networks. |
| Blynk Mobile App | Provides users with an intuitive interface for remote control and status monitoring. |
| PICSimLab Simulator | Provides a virtual environment to simulate the MCU and peripherals for early-stage testing. |
Application Areas
Smart Home Automation: Control of lighting, temperature, and security systems
Energy Management: Efficient power usage and monitoring
Small-scale IoT systems requiring remote monitoring and control
Embedded system development and prototyping for education
Initial development and testing environments for industrial automation systems