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ADVIA 1800 Prototype

prototype_image

Team: Tech Turtles

Team Members:

Project Overview:

Topview This project involves the development of a prototype for the ADVIA 1800, a crucial piece of medical equipment used for high-throughput clinical chemistry analysis. The prototype is designed and built as part of the Medical Equipment 2 course, under the supervision of Dr. Eman Ayman, in collaboration with Siemens Healthineers.

Key Features of Our ADVIA 1800 Prototype:

  1. Acquisition Pump: Ensures precise sampling.
  2. Mixer: Efficiently combines samples and reagents.
  3. Light Source & Light Detector: Utilizes a 650 nm laser and a Light Dependent Resistor (LDR) for accurate photometric measurements.
  4. Servo Motors: Provides precise movement for sample handling.
  5. IR Sensor & Level Detector: Enhances reliability with accurate obstacle and liquid level detection.
  6. Result Display System: LCD to display detected concentrations.

Setup and Dependencies:

  • Arduino Libraries:
    • Servo.h
    • LiquidCrystal_I2C.h

Installation and Configuration:

  1. Arduino Setup:

    • Ensure that you have the Arduino IDE installed on your system.
    • Include the necessary libraries in your Arduino project: Servo.h and LiquidCrystal_I2C.h.
  2. Hardware Setup:

    • Connect the necessary components according to the pin connections defined in the code:
      • LDR sensor, laser, relays, servo motors, etc.
    • Verify that the connections match those specified in the code.

Usage:

  1. Upload Code:

    • Upload the provided Arduino code to your Arduino board.
  2. Serial Monitor:

    • Open the Arduino Serial Monitor to monitor sensor readings and system operations.
  3. Functionality:

    • The prototype performs the following operations:
      • Sampling, mixing, and photometric measurements.
      • Calculation of concentrations based on absorbance.
      • Display of concentration results on an LCD screen.

Troubleshooting:

  • If you encounter any errors or issues during setup or usage, refer to the provided error codes and check the hardware connections.
  • Ensure that the sensors are calibrated and functioning correctly.

Acknowledgments:

  • We extend our gratitude to Dr. Eman Ayman for her guidance and support throughout this project.
  • Special thanks to Siemens Healthineers for their supervision of our project.

Contributors:

Abdulrahman Shawky
Abdulrahman Shawky
omarnasser0
Omar Abdulnasser
Ahmed Kamal
Ahmed Kamal
Mahmoud Mohamed
Mahmoud Mohamed
Ziyad ElFayoumy
Ziyad ElFayoumy
Amgad Atef
Amgad Atef

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