Design of Water Quality Monitoring System using MSP430

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A vast array of organizations, governments, and individuals conduct monitoring in aquatic environments for an equally vast array of purposes. Monitoring is done for ecological reasons, for example, to record changes in the volume of a lake or stream, for legal reasons, for example, a factory that discharges waste into a river will be required to measure the levels of pollutants in order to comply with water quality laws. For maintaining the quality of drinking water also we need to monitor various property of water. To do so, we require a Water quality monitoring system which will be low in cost and efficient in power consumption. In this project, you will make such a type of water quality monitoring system using MSP430 microcontroller.

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The chemical, physical, and biological conditions of water from its quality. Even minute changes in these characteristics can impact the people and industries that depend on water. To preserve its quality, monitoring water parameters such as conductivity, pH, salinity, temperature, dissolved oxygen, chlorine residual and turbidity is crucial. For the same reason, various water quality monitoring sensors need to be integrated into the microcontroller. In this project, you will be using Chlorine Residual Sensor, TOC Sensor, Conductivity Sensor, pH Sensor, ORP Sensor etc.


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The chemical, physical, and biological conditions of water from its quality. Even minute changes in these characteristics can impact the people and industries that depend on water. To preserve its quality, monitoring water parameters such as conductivity, pH, salinity, temperature, dissolved oxygen, chlorine residual and turbidity is crucial. For the same reason, various water quality monitoring sensors need to be integrated into the microcontroller. In this project, you will be using Chlorine Residual Sensor, TOC Sensor, Conductivity Sensor, pH Sensor, ORP Sensor etc.

Project Description:

  1. MSP430™: The MSP430 is a mixed-signal microcontroller family from Texas Instruments. This microcontroller has a 16-bit CPU, the MSP430 is designed for low cost and, specifically, low power consumption embedded applications. This will be the microcontroller for your project.
  2. ADC (Analog to Digital Converter): An ADC is a system that is used to convert analog signal such as sound, light, motion etc. to a digital signal.
  3. Chlorine Residual Sensor: Chlorine sensors measure free chlorine, monochloramine, and total chlorine. The primary application of this sensor is monitoring drinking water, although total chlorine is also often measured in treated wastewater, including reclaimed wastewater.
  4. TOC Sensor: Total organic carbon (TOC) is an important parameter for water quality analysis. It is used as a direct indicator and a surrogate for many water quality purposes. There are two different TOC measurement devices available on the market: TOC analyzers and TOC sensors.
  5. Turbidity Sensor: Turbidity sensors measure suspended solids in water, typically by measuring the amount of light transmitted through the water. They are used in river and stream gaging, wastewater and effluent measurement, drinking water treatment process and control, control instrumentation for settling ponds, sediment transport research, and laboratory measurements.
  6. Conductivity Sensor: Conductivity measurements are carried out in industrial processes primarily to obtain information on total ionic concentrations (e.g. dissolved compounds) in aqueous solutions. Widely used applications are water purification, clean in place (CIP) control, and the measurement of concentration levels in solutions. The measuring system consists of an appropriate inline sensor directly inserted or in a housing, a cable connected to a transmitter converting the received signals to a measurement result or forwarding it to a DCS.
  7. pH Sensor: pH is an important parameter to be measured and controlled. The pH of a solution indicates how acidic or basic (alkaline) it is. pH sensor components are usually combined into one device called a combination pH electrode. The measuring electrode is frequently glass.
  8. ORP Sensor: ORP sensors measure the Oxygen-Reduction Potential of a solution. Used in tandem with a pH sensor, the ORP measurement provides insight into the level of oxidation/reduction reactions occurring in the solution.
  9. MSP430F5529 LunchPad: The MSP-EXP430F5529LP LaunchPad by Texas instruments includes the MSP430F5529 16-bit MCU with 128KB Flash, 8KB RAM, up to 25MHz CPU speed, integrated USB 2.0 PHY, 12-bit analogue-to-digital converter (ADC), timers, serial communication (UART, I2C, SPI) and more!

Project Implementation:

  1. At first understand MSP430 microcontroller. In this step you should learn various specification, Pin configuration etc. of the microcontroller.
  2. Then, you have to study and design, the schematic interface including a microcontroller, various sensors and Display LCD.
  3. After the above step develop a code to monitor all the sensors and collect the required data and show in the LCD display. Use Energia IDE to write a program.
  4. According to the design integrate all the sensors and ADC with MSP430F5529 LunchPad. After your program is ready to upload it in the MSP430F5529 LunchPad and test your system.
  5. In testing process take a distilled water and add impurities to it. By doing so you can observe how various properties of the water changing. Take such three to four test cases and plot graph accordingly.
Project Brief: After successful completion of the project, you can observe that your system can measure a small change in water quality in real time.

Software requirements:

Energia: Energia is an open source & community-driven integrated development environment (IDE) & software framework. You will use this software to program your microcontroller.

Programming language: Energia Programming language

Kit required to develop Design of Water Quality Monitoring System using MSP430:
Technologies you will learn by working on Design of Water Quality Monitoring System using MSP430:


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