According to our survey, water pollution is a long standing major problem of Karachi and it has caused major health hazards. More than 100,000 people, half of which are children, die each year in Pakistan due to poor water quality. For our Final Year Project we came up with an innovative idea th
AquaAnalyser (Water Quality Surveillance System)
According to our survey, water pollution is a long standing major problem of Karachi and it has caused major health hazards. More than 100,000 people, half of which are children, die each year in Pakistan due to poor water quality.
For our Final Year Project we came up with an innovative idea that by using modern technologies such as Internet Of Things (IOT) and Artificial Intelligence (AI) we will develop a system that is capable of testing water properties on the spot without going to a laboratory with water samples.
The system will detect & monitor the purity and quality of water. The system will monitor the following properties of water:
PH
Turbidity
Total Dissolved Solids (TDS)
Electrical Conductivity
Temperature
All the properties can be viewed by the user in real time in numerical values as well as graphical plots through the associated mobile application. The application will also advise the user on condition and usability of the water based on the values of the properties, whether the water is suitable for drinking, domestic use, laundry, for plants or unusable. The will also control and automate the tank and motor system of the user. The system will be capable of smartly filling the water tank with unpolluted water while avoiding overflows and reducing water wastage. The application will send rapid notifications to the user on various circumstances such as when tank is full or when polluted water or sewage is mixed in the incoming water from the pipeline. The system will prevent polluted water from entering the tanks. The user through the application will be able to configure the parameters of the water to be stored in the tank.
Highlighted features of the system are:
Real time water quality monitoring
Rapid notification alerts on water quality
Analysis of water properties
Automatic motor and tank control
Smart water flow control
Detect impurities and chlorine levels
Classify type of water usage
Discard water below quality level
Detect water level of tank
Our goal is to raise awareness amongst communities about risks to their health and to identify ways to improve water sources and water handling. So that the maximum people will be able to check the quality of their daily usage of water. Monitoring the quality of water will provide the objective evidences necessary to make sound decisions on managing water quality today and in the future. Water-quality monitoring will be used to alert us to current, ongoing, and emerging problems; to determine compliance with drinking water standards, and to protect other beneficial uses of water.
The system wiil be implemented through a microcontroller node connected to sensors which will monitor the properties of water such as PH, turbidity, TDS and actuators which will control the motors and valves. The system will be associated with a mobile application which will connect through WiFi. The backend database server will store the data and pridict water quality index through a machine learning model. Based on the value of the index the application will advice the usage of the water. The application will also display the values of the properties in numerical values and graphical plots.
By the use of flow sensor the system will detect the water flow and by using ultrasonic sensor the system will detect water level of the tank, through which operating the motors and valves in response.
Some major benefits of the system include:
Testing water properties on the spot without going to a laboratory with water samples.
Better health awareness and reducing the spread of lethal water born diseases such as neglaria and typhoid.
Automatic filling of water tanks with unpolluted water while avoiding overflow and reducing water wastage.
Rapid notification alerts to keep the user aware of the current circumstances of the water supply and system while avoiding unfortunate events such as sewage or polluted water mixing in the water supply and polluting the tank and plumbing system.
Providing advice to the user on the most appropriate usage of water such as potable for drinking, domestic use or plants based on values of properties and water quality index.
We will deliver a prototype of the system. The hardware module will consist of core microcontroller which will be connected to a node of sensors of PH, turbidity, TDS, electrical conductivity and temperature. The microcontroller will also be connected to a flow sensor and ultrasonic sensors. Motors and a valve will also be connected to the microcontroller. The hardware module will be powered by rechargeable lithium batteries. The collected sensor data from the hardware module will will be send to the backend module which will consist of a server database which will store the data, and a machine learning model which will predict the water quality index based on sensor data. The backend module will transmit data to the frontend module which will be mobile application. The modules of the system will be connected through a WiFi local area network. The first screen of the application will consist of a connection panel to connect the application with the hardware module. The application will also have a panel to view the water properties in numerical values as well as graphical plots. A panel to view water quality index and receive advice on water usage. A panel to view level of the tanks and current state of the motors and valve and manual options to control them. A panel for notification history. And a panel to configure the parameters of the automation of the motors and valve.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| EspDuino-32 | Equipment | 2 | 1500 | 3000 |
| PH Sensor | Equipment | 2 | 3000 | 6000 |
| Turbidity Sensor | Equipment | 2 | 2200 | 4400 |
| TDS Sensor | Equipment | 2 | 2960 | 5920 |
| Electrical Conductivity Sensor | Equipment | 2 | 15900 | 31800 |
| Temperature Sensor | Equipment | 3 | 230 | 690 |
| Ultrasonic Sensor | Equipment | 2 | 150 | 300 |
| Flow Sensor | Equipment | 2 | 650 | 1300 |
| ADC ADS1115 16bit | Equipment | 1 | 590 | 590 |
| 1000mah Li-Po 3.7V Battery | Equipment | 3 | 280 | 840 |
| 5V 1A Adapter | Equipment | 1 | 150 | 150 |
| Wires | Equipment | 1 | 300 | 300 |
| Sensor Shield | Equipment | 1 | 230 | 230 |
| Motor Driver Module | Equipment | 2 | 320 | 640 |
| 12V DC Motor | Equipment | 2 | 80 | 160 |
| 5V Water Pump | Equipment | 2 | 190 | 380 |
| 12V Solenoid Valve | Equipment | 2 | 1200 | 2400 |
| Polyurethane Pipe | Equipment | 3 | 40 | 120 |
| Soldering Iron and Stand | Equipment | 1 | 700 | 700 |
| Soldering Wire | Equipment | 1 | 50 | 50 |
| Desoldering Pump | Equipment | 1 | 290 | 290 |
| Digital Multimeter | Equipment | 1 | 6000 | 6000 |
| Printing | Miscellaneous | 1 | 2000 | 2000 |
| Poster and Standee | Miscellaneous | 1 | 2000 | 2000 |
| Overheads | Miscellaneous | 1 | 1000 | 1000 |
| Total in (Rs) | 71260 |
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