FLUID QUALITY ANALYSIS USING ELECTRONIC SENSORS

The abysmal health condition in Pakistan is a wail for help. Pakistan lags behind even when it comes to providing basic health care to its citizens. In Baluchistan alone the statistics are alarming, diseases like Typhoid and Diarrhea are drastically increasing accor

Project Title

FLUID QUALITY ANALYSIS USING ELECTRONIC SENSORS

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

The abysmal health condition in Pakistan is a wail for help. Pakistan lags behind even when it comes to providing basic health care to its citizens. In Baluchistan alone the statistics are alarming, diseases like Typhoid and Diarrhea are drastically increasing according to a recent report. The contaminated and poor sanitation results serious conditions of dysentery, hepatitis A, typhoid and may lead to Polio.

To get to the bottom of this problem and to tackle these prevailing issues, the motive of this project is to make a product out of a prototype to identify the quality of the water, or beverages like juices and dairy products i.e. milk, and also identify its chemical behavior using an intelligent machine learning algorithms. This project focuses on Sustainable Developed Goals (SDGs); Good health and wellbeing (3), clean water and sanitation (6) and Affordable and clean energy (7).

The idea of the project offers a handheld portable prototype that is user- friendly and easily assessable by people that belongs to non-technical domains. The prototype is composed of 5 to 6 Electronic sensors i.e. Turbidity sensor, Ph. sensor, Salt impurity sensor, Temperature and Humidity sensor, room temperature sensor that retrieves data from the sensors and take smart decision using logistic regression and machine leaning algorithms, and concludes or determine that the tested fluid is drinkable or hazardous  to health.

The samples that is collected from different parts of Baluchistan for the database and algorithm, is +500, in order to make the algorithm smart and as accurate as possible. 250+ samples have already been collected and the remaining are in progress, whereas the algorithm is made using the Machine Learning (ML) techniques i.e. Logistic Regression.

 Presently, the laboratories do not provide any rapid testing of the samples, the test or results of the samples are displayed after a long time, which is very bizarre. The motivation of this project is to offer the facility of displaying results as soon as the sample or fluid is tested.

The project covers up not only the domestic usage but also the Agriculture sector, Clinical usage, Nutritional usage, health care and also it cab be easlity used by people who are not aware of Electronic devices, beacuse of its user friendly handling. 

Project Objectives

In Pakistan 40-60% of the population, people are suffering from water-borne diseases such as gastroenteritis, typhoid, cholera, dysentery and other serious diseases, says IUCF and WWF for Nature.

To tackle these alarming situations of our country mostly focusing on SDG number 3, 6 and 7, this project offers following objectives towards the solution:

1. To make a prototype that enables the user to identify whether the tested fluid is fitting their digestion system, and does it have microbes and chemicals that can destroy the human health over time and can cause serious damages. 
2. Make a Machine learning based model or prototype to determine the quality of the drinking water or beverages such as Juices.
3. Apply logistic regression and machine learning algorithms to study the behavior or chemical reactions of the tested fluid.
4. Take various water samples from different districts and portions of Baluchistan to measure the quality conditions of drinking water.
5. To cross-check and verify the training data from different fluids and waters in laboratory labs in Quetta, and make the dataset out of the analysis.
6. Make a mobile application to easily monitor the fluid quality and bring ease for our senior citizens.

Project Implementation Method

Initially, a prototype is made out of 5-6 Electronic sensors that contribute in identifying the quality measures of the water or beverages.

Firstly, the electrode pH sensor is used to check the acidity and basicity level of fluid samples, Turbidity sensor is used to check the dirt level in the tested fluid samples. Room temperature and humidity sensor is used at the different time instant to check temperature and humidity level. Moreover, salt impurity sensor and liquid temperature sensor is used to check the impurities and temperature in the samples. All these sensors are interfaced on one platform with microcontroller (Arduino UNO and STM32 Nucleo board).

There are approximately 500 different fluid samples which are used at the time of testing using the Electronic sensors. After that, different fluid samples like; water, juices, milk and other daily life beverages are bought from different brands. Moreover, household water and fresh juices are also bought from different regions of Baluchistan which were used in the sampled fluid dataset.

Apart from laboratory testing, which is less accurate and time consuming, this project comprises of rapid testing of different fluid samples. It gives the output result in few seconds. We had tested more than 500 fluid samples in laboratories to check the difference in both results (manually tested and laboratory tested samples). Comparably, this project gives more accurate results in a very less time in this regard as compared to local laboratory testing.

Moreover, Machine Learning ML algorithm is also introduced by different regression techniques. Few predefined and self-made algorithms are used, where the training data are placed to monitor the fluid quality with the help of ML algorithms.

Additionally, graphs are plotted at every time instant which are checked after some chemical reactions like; testing is done before boiling and during the boiling of fluids, after 2-3 days of making the juices, or after the juice is being opened. Moreover, testing is done of the fresh and spoiled fluid samples. The expired beverages are also bought from some departmental stores to check their pH, turbidity and impurities at different temperatures and humidity levels.

Moreover, a WIFI module is also interfaces that helps in displayed the results from the sensors to directly a connected cellphone that contrive in the user friendly prototype that is handy and manageable. Also, mobile application is created. So that, an individual can use this model to view the results on their mobile screens anywhere and whenever they want.

Lastly, multiple LEDs of different colors are integrated to the prototype to indicate the state of the quality of the fluid, which displays the suitability from not desired to drink to drinkable states of the tested fluid. A glass protective shield is also manufactured from a local glass shop to prevent the sensors from dust and any other environmental damage.

Benefits of the Project

The prototype/Model of our FYP is multidimensional, that covers Domestic usage, Technical, Agricultural, Medical and Health related applications of daily lives in our system.

1. This prototype will be able to determine the quality of the drinkable water or beverage for the senior citizens, especially for the people that have high acidity levels. 
2. Predicts the expiry date of the fluid or beverages. 
3. Determine the pH level, Turbidity level, Humidity level, salt impurity level of the drinking fluid.
4. Get to know the quality of the liquid beverage
5. Enables drinkable and non-drinkable states of the fluids.
6. The required pH level for the agricultural land is very essential for better crops and their harvest. Using this prototype, a farmer can take the benefit of checking the quality of the water that is used for the land.
7. This is a handheld prototype that allows the user to identify and study their fluid quality without visiting their doctors.
8. Due to the reason of being portable and handy, this model or prototype can be used anytime or anywhere when testing of the fluid is required.
9. Contaminated water leads to transmission of diseases such as cholera, diarrhea, dysentery, hepatitis A, typhoid and polio. This model solves and resolve this rising issue in our province and country.
10. When upgraded to a device, can be used to startup a business. such as Social Entrepreneurship. 

Technical Details of Final Deliverable

1. Most importantly, the quality of the fluid will be displayed.
2. The expiry data of the fluid will be determined.
3. The predefined chemical reaction testing of the dataset and algorithm of the tested data will calculate the behavior of the fluid or water.
4. People will high acidic levels will be able to identify which beverage is suitable for their digestion.
5. Waters with high impurities will be identifies.
6. People in Agriculture sector will use this prototype to identify the pH level of water according to their landscape. 
7. This is a handheld prototype that allows the user to identify and study their fluid quality without visiting their doctors.
8. The required pH level for the agricultural land is very essential for better crops and their harvest. Using this prototype, a farmer can take the benefit of checking the quality of the water that is used for the land.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

Medical , Agriculture , Food

Core Technology

Clean Tech

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People, Clean Water and Sanitation, Affordable and Clean Energy

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com