IOT Based IV Bag Monitoring and Alert System Using Arduino with GSM - SMS📱Notification

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Creating an IoT-based IV bag monitoring and alert system using Arduino and GSM for SMS notifications involves integrating Arduino boards, sensors, and GSM modules to achieve real-time monitoring and alerting capabilities. Here's a high-level overview of how you could implement such a system:

Components Needed:

1. Arduino Board (e.g., Arduino Uno or Arduino Nano)

2. GSM Module (e.g., SIM800L or SIM900)

3. Flow rate sensor (e.g., YF-S201)

4. Temperature sensor (e.g., DS18B20)

5. Pressure sensor (e.g., BMP180)

6. IV Bag holder with suitable mounts for the sensors

7. Power supply

8. Connecting wires

9. SIM card for the GSM module

System Implementation:

1. Assemble Sensors and Hardware:

• Mount the flow rate sensor, temperature sensor, and pressure sensor on the IV bag holder to measure relevant parameters.

• Connect the sensors to the Arduino board using appropriate pins.

• Connect the GSM module to the Arduino board using serial communication pins.

2. Programming the Arduino:

• Write the Arduino sketch (code) that reads data from the sensors and communicates with the GSM module.

• Use suitable libraries for each sensor to simplify data acquisition.

• The Arduino sketch should continuously monitor the sensor data and trigger actions based on predefined thresholds. For example, if the flow rate drops below a certain level or the pressure becomes abnormal, an alert should be triggered.

3. GSM Communication and SMS Alerts:

• Use the GSM module's AT commands to establish communication with the cellular network.

• Configure the GSM module to send SMS messages.

• When an anomaly is detected by the Arduino (e.g., low flow rate), the system should send an SMS notification to predefined phone numbers.

4. Alert Logic:

• Implement logic in the Arduino sketch to decide when to send alerts.

• You can set threshold values for each parameter (flow rate, temperature, pressure) beyond which an alert is triggered.

• Implement debouncing or filtering mechanisms to avoid false alarms due to sensor noise.

5. Power Supply:

• Ensure that the system is powered by a reliable and stable power source to avoid interruptions in monitoring and alerting.

6. Testing and Calibration:

• Test the system using different IV bags with known parameters to calibrate the sensors and verify the accuracy of measurements.

• Conduct rigorous testing to ensure that the system responds appropriately to different scenarios.

7. Deployment:

• Install the system in a healthcare setting, such as a hospital or clinic, where IV administration takes place.

• Train healthcare staff on using and interpreting the alerts generated by the system.

8. Monitoring Interface:
• Optionally, you can create a monitoring interface using a computer or mobile device to visualize sensor data and receive alerts remotely.