Real time water quality Monitoring system through IOT
Development in the wireless sensor network technology have provided new approaches to real-time data collection, transmission, and processing. Remote control boat will be design to check the water quality. The RC boat is driven into the water area for sample collection , and the boat carri
2025-06-28 16:28:55 - Adil Khan
Real time water quality Monitoring system through IOT
Project Area of Specialization Internet of ThingsProject SummaryDevelopment in the wireless sensor network technology have provided new approaches to real-time data collection, transmission, and processing. Remote control boat will be design to check the water quality. The RC boat is
driven into the water area for sample collection , and the boat carries relevant sensors,Machines and devices are connected to Internet and there is data collection and
transfer through the network develop to follow the RIVER WATER QUALITY INDEX (WQI).Meanwhile, the acquired data is also stored in local database, making convenience
for later use. Today’s world is dramatically shaped by the Internet of things (IoT) technology which collects, monitors, and analyzes data from a remote location. IoT integrated systems have huge potentials in applied fields of environmental sciences and can be implemented in the field of water quality monitoring and controlling system.Developing an efficient, cost-effective, real-time water quality monitoring system incorporated with an integrated wireless sensor network and internet of things, is the main focus of the project.
• Water quality control and management in water resources are important for providing clean and safe water to the public. Due to their large area, collection, analysis, and management of a large amount of water quality data are essential
• Water quality data are collected mainly by manual field sampling, and recently real-time sensor monitoring has been increasingly applied for efficient data collection, mainly focusing on water resources, such as rivers and lakes, and discusses the challenges and future directions.
• Different organic matter, hazardous chemicals, and nutrients from domestic, industrial, and agricultural activities to natural water systems has caused harmful effects, on drinking water supply systems like rivers or lakes. Thus, appropriate water-quality-monitoring technologies are needed in order to develop an effective water-resource-management strategy and/or improve existing natural-water-system-management plans. Generally, water quality data is commonly collected on a continuous basis.
• Water-quality monitoring is 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.
• Main objective of this project is to develop IOT water quality monitoring system that assist in the continuous measurement of water conditions.
• This system will immensely help the population to become Conscious of contaminated water and to stop polluting water.
• This system can keep a strict check on the pollution of the water resources and be able to provide an environment for safe drinking water.
• A Remote control boat will be to check the water quality. The RC boat is driven into the water area for sample collection , and the boat carries relevant sensors ,Machines , and devices are connected to Internet and there is data collection and transfer through the network develop to follow the RIVER WATER QUALITY INDEX (WQI).Meanwhile, the acquired data is also stored in local database, making convenience for later
use.
Water Quality Index:
• It is a simple method (WQI) utilized as a part of surveying the general water quality using a group of parameters which reduces the large amount of information to a single number, usually dimensionless ,reproducible Manner.
Qi = (Mi – li) / (Si –Ii)
Wi=k /Si
WQI = ? WiQi / ? Wi
Si Standard value
Ii Ideal Value
Mi Monitored Value
Qi Sub-Index
Wi Weighted Value
It will check the quality of water through different sensors that are connected to Arduino and then through internet data. Sending the assembled data via the wireless channel collected from the various sensors to the web server.
• It is a quick and computerized process which immediately gets data and process them in milliseconds and instantly gives results.
• It is not time-consuming and no physical movement of sample to the laboratory is required.
• It is a low cost and a more practical project.
• It will use for different testing purposes
- Drinking Purposes
- Aquatic toxic life
- Ground Water
- Soil or Crops usage
• Conventional water quality monitoring methods required sample collection and laboratory techniques which delayed detection and prevented immediate measures and were time-consuming.
• Computerized methods, used prior, are also effective in measuring the physiological parameters of water.
• However using probes to detect the water quality are expensive and we have to analyze the parameters separately.
• Additionally, there are some other processes that require measurements to ensure accuracy, therefore online water quality monitoring system has the potential to be presented with continuous data is highly demanded.
Final delivery will be Hardware & Software Modules.
Hardware:
• Sensors
• Arduino Uno
• Wi-Fi Module
• GSM Module
• Arduino Camera
• DC Motor
• Remote Control Boat
Software:
• Arduino IDE Software (Programming in C++)
• Online Database( Any one )
• Web Application (Html5 ,CSS) ASP.NET
Details:
• Hardware parts directly connected with Arduino Microcontroller and through GSM module data will be transfer to online database and through webserver client will retrieve the data anytime and it will show the data in the form of visual tools.
Software:
• Arduino IDE will run on Arduino UNO
• Web application will run on smart phone through which mobile user can control any appliances of smart home
.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 78500 | |||
| Arduino Uno Microcontroller | Equipment | 2 | 1500 | 3000 |
| GPS Module | Equipment | 1 | 2000 | 2000 |
| GSM Module | Equipment | 1 | 6000 | 6000 |
| Ph. Sensor | Equipment | 1 | 5000 | 5000 |
| Turbidity Sensor | Equipment | 1 | 3000 | 3000 |
| Temperature Sensor | Equipment | 1 | 1000 | 1000 |
| Conductivity Sensor | Equipment | 0 | 8000 | 0 |
| Dissolved Oxygen Sensor | Equipment | 1 | 4000 | 4000 |
| ORP Sensor | Equipment | 1 | 13500 | 13500 |
| Camera Sensor | Equipment | 1 | 2000 | 2000 |
| Gravity: Waterproof Sensor Kit | Equipment | 2 | 2000 | 4000 |
| Battery | Equipment | 2 | 4000 | 8000 |
| Different Transistors Signal Transistors, Power Transistors and Resist | Equipment | 2 | 2000 | 4000 |
| L298 bridge IC | Equipment | 2 | 500 | 1000 |
| 12 Volt DC Motor | Equipment | 2 | 1000 | 2000 |
| Plastic PVC sheets and other hardware used for making a solid floating | Miscellaneous | 1 | 10000 | 10000 |
| Online Data Base Faircom Edge/ Incits/OPC Foundation (Huge Memory) | Equipment | 1 | 10000 | 10000 |