An end-to-end, IoT-based Smart Water Quality Monitoring Station designed for real-time, in-situ analysis of water health. The system utilizes edge-processing to calculate a universal Water Quality Index (WQI) based on multiple sensor readings and streams JSON-formatted data wirelessly to a custom web dashboard.

Developed as a functional hardware-software integration project by Chipware Labs.

• Real-Time Data Acquisition: Simultaneously measures Temperature (°C), Total Dissolved Solids (TDS in ppm), and pH levels.
• Edge Computing: Performs hardware-level temperature compensation and WQI calculation directly on the MSP430 MCU.
• Dual Visualization: * Local: 0.96" I2C OLED display for immediate on-site readings.
  • Remote: Wireless transmission to a browser-based dashboard.
• Web Serial API Dashboard: Zero-server architecture. Connects directly to the HC-05 Bluetooth module via the browser to parse and display real-time JSON data.
• Cascade Power Management: Custom power distribution using LM7805 (5V) and LM1117T (3.3V) to ensure thermal stability and sensor accuracy.

• MCU: Texas Instruments MSP430G2553
• Temperature Sensor: DS18B20 (Waterproof, 1-Wire)
• TDS Sensor: Analog TDS Meter
• pH Sensor: DFRobot Gravity Analog pH Meter V2
• Display: Waveshare 0.96" OLED (I2C Mode)
• Wireless Module: HC-05 Bluetooth (UART)
• Power: 9V Battery + LM7805 & LM1117T-3.3 Regulators

⚠️ Important Hardware Note: Ensure that the OLED's CS and DC pins are grounded to lock it into I2C mode (Address: 0x3C), and tie the RES pin to 3.3V.

The embedded firmware is written in C using Code Composer Studio (CCS). It focuses on lightweight operations to fit within the 16KB flash memory limit of the MSP430G2553.

• Sensor Calibration: Linear interpolation is used for pH, and active temperature compensation formula is applied to TDS readings.
• WQI Algorithm: A weighted arithmetic mean algorithm converts raw parameters into a single score (0-100) and categorizes water into Excellent, Good, Poor, or Undrinkable.
• JSON Formatting: To prevent memory overflow, custom string parsing algorithms are implemented instead of standard sprintf libraries. Data is packaged as {"t":25.5,"tds":145,"ph":7.1,"wqi":85}\r\n.

1. Clone this repository: git clone https://github.com/peginium/IoT-Based-Water-Quality-Monitoring.git
2. Open Code Composer Studio (CCS) and import the project.
3. Build the project and flash it to the MSP430 Launchpad.
4. Wire the components according to the table above.

1. Power up the hardware system.
2. Pair your computer with the HC-05 Bluetooth module (Default PIN is usually 1234 or 0000).
3. Open the index.html file (located in the /web folder of this repo) using Google Chrome or Microsoft Edge.
4. Click the Connect button on the web page and select the Bluetooth COM port from the browser prompt.
5. Watch the real-time data flow!

• Arhan Özcan