Factory Temperature Monitoring System

Project Overview

This project is an embedded system for monitoring and managing temperature conditions in a factory setting. Designed as part of a computer engineering course, the system leverages both software (Python with GPIO and GUI libraries) and hardware components (temperature sensor, LEDs, servo motor, push buttons, and a buzzer) to transition between states based on real-time temperature readings and user inputs.

Key Components

• Temperature Sensor: Simulated for monitoring ambient temperature.
• LED Indicators:
  • On LED: Signals when the system is actively monitoring the temperature.
  • Emergency LED: Lights up during emergency conditions.
• Servo Motor: Controls ventilation window angle based on temperature levels.
• Push Buttons:
  • Start Button: Initiates the temperature monitoring process.
  • Reset Button: Resets the system from the emergency state to idle.
• Buzzer: Sounds during emergency conditions to alert personnel.

System Operation

• Idle State: Initial state where LEDs and buzzer are off, and servo is positioned at 0°. The system remains idle until the Start button is pressed or after a 10-second wait.
• Monitor Temperature State: Activated by pressing the Start button, turning on the On LED to signify temperature monitoring.
• High Temperature State: Triggered if temperature is between 30°C and 40°C, partially opening the ventilation by setting the servo to 90°.
• Emergency State: For temperatures above 40°C, the system activates the Emergency LED, sounds the buzzer, and fully opens the ventilation by setting the servo to 180°. The system stays in this state until the Reset button is pressed.

State Diagram

Link to the Diagram

Code

The code is written in Python and uses the following libraries:

• gpiozero: Controls GPIO components such as LEDs, servo motor, push buttons, and buzzer.
• guizero: Manages the GUI for temperature monitoring, including slider control.
• tkgpio: Simulates the circuit for testing without actual hardware.

The system smoothly transitions between states based on real-time inputs and temperature thresholds, making it a versatile and educational example of combining hardware and software for environmental control.

Installation

1. Clone the repository:

git clone https://github.com/YourGitHubUsername/Factory-Temperature-Monitoring-System.git

2. Install the required Python libraries:

pip install gpiozero guizero tkgpio

3. Run the main code:

python main.py