Oxiehen Concentration based temp, pressure

Oxigen

1. ABSTRACT Oxygen concentration is a critical process in various industries and medical applications, where high-purity oxygen is essential. This presentation focuses on the methods and technologies used to enhance oxygen concentration, with a particular emphasis on Pressure Swing Adsorption (PSA) . PSA is a widely used technique that separates oxygen from other gases in the air by exploiting differences in adsorption properties under varying pressure conditions. The use of advanced adsorbent materials, such as zeolites, allows for efficient nitrogen removal, resulting in a higher concentration of oxygen. This process is crucial in applications ranging from industrial gas production to medical oxygen generation for respiratory therapies.

2. When is oxygen concentrator usage suggested? Doctors can recommend their patients to undergo oxygen therapy with an oxygen concentrator for several medical conditions. Our lungs absorb oxygen from the air and transfer it into your bloodstream. In a blood test, if it indicates low blood oxygen levels, the doctor could recommend short or long term oxygen therapy2.

3. TECHNIQUE & TOOLS Arduino Uno Board ESP3266 Node MCU Relay IOT LCD I2C Module Force Sensor Arduino Software

4. Components Overview Arduino Uno : The main microcontroller for processing data and controlling the system. ESP8266 NodeMCU : Used for Wi-Fi connectivity to send data to an IoT platform. Relay : Controls the switching of high-power devices like an oxygen concentrator. LCD with I2C Module : Displays data such as oxygen levels and system status. Force Sensor : Measures pressure, which can be related to oxygen flow or concentration in some contexts. IoT Platform : Monitors and controls the system remotely.

5. Working Principle Force Sensor Monitoring : The Force Sensor measures pressure, which could indicate oxygen flow or concentration. The Arduino reads the sensor's analog data, processes it, and converts it into a meaningful value (like pressure or concentration). LCD Display : The processed data (e.g., oxygen concentration, pressure levels) is displayed on the LCD via the I2C interface.

6. Relay Control : The Arduino controls the relay based on the sensor readings. For instance, if the oxygen level drops below a certain threshold, the relay could activate an external device (like an oxygen concentrator). IoT Integration : The ESP8266 NodeMCU connects to a Wi-Fi network and sends the sensor data to an IoT platform (e.g., ThingSpeak , Blynk). You can monitor the oxygen levels and control the relay remotely via the IoT platform.

7. Testing and Calibration: Test the system to ensure the Force Sensor is correctly measuring pressure or oxygen concentration. Calibrate the system to ensure the relay triggers at the correct pressure threshold. Verify that the data is being correctly displayed on the LCD and sent to the IoT platform.

8. Conclusion This project not only highlights the effectiveness of low-cost microcontrollers and sensors in achieving complex tasks but also opens up possibilities for future enhancements, such as incorporating more advanced sensors, improving data analytics, and expanding connectivity options. Overall, this system serves as a reliable and efficient solution for ensuring optimal oxygen levels, contributing to better health outcomes and operational efficiency in environments where oxygen concentration is critical.