- Ziyad El-Fayoumy
- Amagd Atef
- Mahmoud Mohamed
- Ahmed Kamal
- Abdelrahman Shawky
- OmarAbdelnasser
- Camellia Marwan
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.
- Acquisition Pump: Ensures precise sampling.
- Mixer: Efficiently combines samples and reagents.
- Light Source & Light Detector: Utilizes a 650 nm laser and a Light Dependent Resistor (LDR) for accurate photometric measurements.
- Servo Motors: Provides precise movement for sample handling.
- IR Sensor & Level Detector: Enhances reliability with accurate obstacle and liquid level detection.
- Result Display System: LCD to display detected concentrations.
- Arduino Libraries:
- Servo.h
- LiquidCrystal_I2C.h
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Arduino Setup:
- Ensure that you have the Arduino IDE installed on your system.
- Include the necessary libraries in your Arduino project:
Servo.h
andLiquidCrystal_I2C.h
.
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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.
- Connect the necessary components according to the pin connections defined in the code:
-
Upload Code:
- Upload the provided Arduino code to your Arduino board.
-
Serial Monitor:
- Open the Arduino Serial Monitor to monitor sensor readings and system operations.
-
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.
- The prototype performs the following operations:
- 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.
- 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.
Abdulrahman Shawky |
Omar Abdulnasser |
Ahmed Kamal |
Mahmoud Mohamed |
Ziyad ElFayoumy |
Amgad Atef |