-Water-Quality-Monitor-System.pptx ppt water

Water quality monitoring

1. WELCOME 1

2. Presentation on : “ Real Time Water Quality Monitoring System Using IoT and Machine Learning” Guided By Prof. D. R. Patil Presented By : Ms. Malunjkar Mayuri Ms. Mare Sadhana Ms. Nagawade Monika Ms. Patil Snehal Amrutvahini College of Engineering , Sangamner . 2

3. Contents : Project Title Introduction Objective Motivation Literature Review Feasibility Study Requirement Analysis System Design Advantages & Limitations Conclusion 3

4. Project title: Real Time Water Quality Monitoring System Using IoT and Machine Learning. 4

5. Introduction : As per increase in water pollution, there is need of controlling pollution in water is finished by monitoring Water quality. Our System consists of various sensors which will compute the standard values of water in real-time for effective action and is accurate and only less manpower required. 5

6. Objective : To measure critical water quality parameters such as physical and chemical properties . System must be low cost , more efficient as well as processing , sending and viewing data on cloud through Wi-Fi to mobile. To collect data from various sensor nodes and send it to base station by wireless channel. 6

7. Motivation : Existing system water treatment systems was unable to detect dissolved contaminants such as chemicals. Every traditional technology has limited ability to monitor specific virus so using traditional approaches monitoring water quality are not safe . 7

8. Literature Review : Sr.No Author Name Title Year Objectives Outcome 1. Aaina Venkateswaran , Harsha Menda P, Prof Priti Badar An IoT Based System for Water Quality Monitoring. 2017 1. Using image processing technology. 2.Smart sensor designing using Zigbee . IoT & Remote sensing techniques are used for monitoring & analysing data. 2. Vaishnavi V Daigavane , Dr. M.A Gaikwad Water Quality Monitoring System Based on IOT. 2017 1. Detecting the more parameters for most secure purpose . Using GSM network and more sensors it will be more convenient & flexible to monitor the quality of water. 8

9. Sr.No Author Name Title Year Objectives Outcome 3. A.N.Prasad, K. A. Mamun, F. R. Islam, H. Haqva Smart Water Quality Monitoring System. 2017 1. Collecting & testing the water samples and summarize the generated result. Four different water sources are tested successfully using GSM technology & to send the alarm. 4. Mr. Swapnil Katole , Prof. Yogesh Bhute A Review : The Real Time Water Quality Monitoring System based on IoT Platform 2017 1. Low cost ,more efficient and analyzing, sending and viewing data on cloud through the WIFI module. cloud computing technology is used to monitor data on the internet & Results are generated alert message will be sent to the user. 9

10. Sr.No Author Name Title Year Objectives Outcome 5. Karthick . T, Gayatri Dutt , Tarunjot Singh Kohli , Snigdha Pandey Prediction of Water Quality and Smart Water Quality Monitoring System in IoT Environment. 2018 1. To compare the results with WHO standards using machine learning & decisions are made. In this the results generated from the different sensors are compared with standard values using ML & decisions making is done 6. Anuradha T, Bhakti, Chaitra R, Pooja D IoT Based Low Cost System for Monitoring of Water Quality in Real Time . 2018 1.To measure temperature , pH,Turbidity and TDS values. It mainly focuses on analyzing condition and checking whether water is suitable for living beings and plants. 10

11. Sr.No Author Name Title Year Objectives Outcome 7. Jianhua Dong,Guoyin Wang,Huyong Yan, Ji Xu & Xuerui Zhang A survey of smart water quality monitoring system. 2014 To utilize cloud computing. Dynamic features and visualization. Data transmission and data analysis systems are explored. 8. JAYTI BHATT, JIGNESH PATOLIYA IOT BASED WATER QUALITY MONITORING SYSTEM 2016 1.To measure Dissolved oxygen,Temperature and turbidity and conductivity using Zigbee protocol. IoT module is implemented to access the data from core controller to the cloud. Zigbee protocol is used to transfer data between microcontroller. 11

12. Sr.No Author Name Title Year Objectives Outcome 9. Pradeepkumar M , Monisha J, Pravenisha R , Praiselin V , Suganya Devi K The Real Time Monitoring of Water Quality in IoT Environment 2016 1. To use arduino controller to measure the quality of water using different sensors . The system can monitor water quality automatically, and it is low in cost and transfer and control the signals efficiently 10. S. Geetha and S. Gouthami Internet of things enabled real time water quality monitoring system 2017 To communication between controller and data storage. To solve power consumption issues. Data generated from sensors is compared with standard values in cloud and if exceeds the limit then message sent from cloud to the users mobile. 12

13. Feasibility Study : Goal : The main goal of this project is to improve supply of water by monitoring the quality of water comparing with standard values. Scope : Future works can be focused on system using more number of sensors. The system is with advantage such as low power consumption ,more flexible to deploy. 13

14. Duration : 10 months . Approach : The system developed is used for testing different water samples and if limits exceeded alert is used to send to the user . 14

15. Requirement Analysis : Functional Requirement : pH sensor – (Range : 0 to 14 pH) . Conductivity Sensor –(Range : 0-10000) . Water level. Temperature Sensor. Arduino (ESP8266 Wi-Fi Module). Open source O.S Android studio . 15

16. Non Functional Requirement : Scalability Security reliability Platform Compatibility Performance Usability maintainability 16

17. Design : Fig: System Architecture[1] 17

18. Data flow diagram : Fig: Level 0 DFD 18

19. Fig: Level 1 DFD 19

20. Use Case : 20

21. Activity Diagram : 21

22. ER Diagram : 22

23. Advantages & Limitations: Advantages It will reduce the time to measure the parameters . This is economically affordable for common people. Limitations If any fault occurs in hardware devices then we are not able to monitor the quality of water . When quantity of water increases then each and every time we have change the system range. 23

24. Conclusion : This presents a detailed survey on the tools and techniques employed in existing smart water quality monitoring systems. Also a low cost, less complex water quality monitoring system is proposed. The implementation enables sensor to provide online data to consumers. This can be improved by incorporating algorithms for anomaly detections in water quality. 24

25. References : S.Geetha ,S.Gouthami, ”Internet of things enabled real time water quality monitoring system”, DOI 10.1186/s40713-017-0005-y (2017 ). Vaishnavi V.Daigavane ,Dr. M.A Gaikwad ”Water quality monitoring system based on IoT ” Advances in Wireless and Mobile Communication, ISSN 0973-6972 Volume 10,, Number 5 (2017 ). A.N.Prasad, K.A. Mmun, F.R.Islam,H.Haqva ”Smart Water Quality Monitoring System” ,(2015). Jianhua D, Guoyin W, Huyong Y, Ji X, Xuerui Z ”A survey of smart water quality monitoring system.” Environ SciPollut Res 22(7):4894906 (2015). 25