Water monitoring and analytic based ThingSpeak

International Journal of Electrical and Computer Engineering (IJECE)
Vol. 10, No. 4, August 2020, pp. 3588~3595
ISSN: 2088-8708, DOI: 10.11591/ijece.v10i4.pp3588-3595  3588
Journal homepage: http://ijece.iaescore.com/index.php/IJECE
Water monitoring and analytic based ThingSpeak
Abbas Hussien Miry, Gregor Alexander Aramice
Department of Electrical Engineering, Al-Mustansiriyah University, Iraq
Article Info ABSTRACT
Article history:
Received Jul 15, 2019
Revised Jan 20, 2020
Accepted Feb 2, 2020
Diseases associated with bad water have largely reported cases annually
leading to deaths, therefore the water quality monitoring become necessary to
provide safe water. Traditional monitoring includes manual gathering of
samples from different points on the distributed site, and then testing in
laboratory. This procedure has proven that it is ineffective because it is
laborious, lag time and lacks online results to enhance proactive response to
water pollution. Emergence of the Internet of Things (IoT) and step towards
the smart life poses the successful using of IoT. This paper presents a water
quality monitoring using IoT based ThingSpeak platform that provides
analytic tools and visualization using MATLAB programming. The proposed
model is used to test water samples using sensor fusion technique such as
TDS and Turbidity, and then uploading data online to ThingSpeak platform
to monitor and analyze. The system notifies authorities when there are water
quality parameters out of a predefined set of normal values. A warning will
be notified to user by IFTTT protocol.
Keywords:
Arduino
IoT
Platfrom
ThingSpeak
Water quality
Copyright © 2020 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Abbas Hussien Miry,
Department of Electrical Engineering,
Al-Mustansiriyah University,
Baghdad, Iraq.
Email: abbasmiry83@uomustansiriyah.edu.iq
1. INTRODUCTION
Human society development had great effects on our environment, and every effort has been
seeking to improve its preservation. Environment quality monitoring is one of these important efforts that
have allowed the monitoring of different physical parameters to limit the more progress of environmental
degradation. Collecting environmental data manually as a traditional monitoring method is ineffective, since
of weak ability of warning in some environmental special cases such as (pollution). A period ago, digital
information recorders were presented to enhance accuracy of surrounding environment monitoring, but even
this is still lacked as online data analysis [1]. In the last years, energy generated from environmentally
friendly, renewable, clean and efficient sources becomes one of the important engineering research areas.
One of the important environmental monitoring issues to be monitored is water diseases, which are
becoming the main challenge to our health. Therefore, to guarantee best water quality is critical to keep
a stable life for all. Water quality is distinguished from its appropriateness to a given application based on its
biological, chemical properties. Water quality monitoring includes the detection of characteristic and their
comparison with specific standards and predefined values. Water acceptability is usually determined by
obeying the intended use criteria. For more accuracy and reliable analysis, it is important to collect more
samples for better monitoring Manual technique introduces great complexity and it is considered inefficient
comparing to real-time monitoring to get quick warning in order to ensure fast water pollution response [1].
Online monitoring poses challenges for person who have manually get the water quality parameters
through sampling and testing at the testing center. IoT, which is a connected intelligent device that senses,
interprets and interacts with the environment because of the combination of the Internet and the integrated
sensor system. In the twenty-first century, the higher communication and strong criterions the (IoT). In this

Int J Elec & Comp Eng ISSN: 2088-8708 
Water monitoring and analytic based ThingSpeak (Abbas Hussien Miry)
3589
network, daily operation of objects becomes part of the network due to the connectivity and computing
capabilities, which include the digital operation of the transceiver and microcontroller. The network model
covers high stability and allows for unified collaboration between different device types such as surveillance
cameras, environmental sensors and applications in various medical fields. Because of this goal, internet
objects have developed extra design in many sites such as “pollution monitoring systems” and “water quality
management systems.” It includes many cheap sensors in the surround, those support the public via new
quality monitoring services and feedback report without any burden at anytime and anywhere. Also it can be
considered as explicitly advance as a quality of human life [2]. S. Geetha and S. Gouthami [3], present
a simpler solution to water quality monitoring in pipes based on IoT. The developed model was used to test
water samples then upload this data online to be analyzed. Their system provides a warning alarm for
the remote control user, when there are quality of water parameters deviation from a predefined set of
standard values. The data that is sent from this system was uploaded in the cloud "Ubidots" that offers
a platform for user to capture data and convert it to useful information. M. Parameswari and M. Moses [2],
use aqua care IoT to monitor the quality of water. The information collected from the sensor system was
logically implemented across the network. They developed this system basing on an embedded system,
logical address and communication application from Internet objects. P. Bokingkito and O. Llantosb [4],
were developed a real-time system to monitor water temperature on a mobile that is capable of reducing
dependence on the control site workforce to reduce costs and evaluate fish farming system.
The implementation of the system led to monitor the water temperature from the main control unit online.
It also provides the system and displays information that includes statically value results. Chen and Han [5],
at the Bristol port, they used different parameter to monitor water quality, which has successfully proved
the feasibility, gather water quality data online and display on the Internet. They used another method that is
based on image processing for water quality monitoring. Statically models and machine learning used to
decide the quality parameters of water for input image video. K. Saravanan et. al, [6], propose (SCADA)
system which integrates with (IoT) to monitor water quality in real time. It was aim to identify water
pollution, leakage in the pipeline, as well as automatic measurement of parameters such as flow, temperature
and color sensors in online with Atmega 368 and GSM Module. The system was implemented at Tirunelveli.
The aim of this paper is to propose an effective online water monitoring system in real-time that can
help health monitors to improve the monitoring operation. In general, the system provides information
including normal, maximum, minimum and average statistical values for different water characteristics, also
compares between different sites and different days for same city, results obtained from collected sensor that
provide decision support to help and guide people in the city to avoid water usage for drinking.
Further, the system can display the water characteristics that are continuously monitored online directly on
smart phone.
2. INTERNET OF THINGS (IoT)
IoT is a modern communication model in the near future in which daily life objects which are
provided with microcontrollers, digital communication transmitters and receivers, are controlled via
appropriate protocols making a kind of communication network with each other and with users, and that is
going to make it as an integral part of the Internet. The IoT concept aims to make the Internet more famous.
Furthermore, by making easy interaction with a wide range of devices such as, home application, CCTV,
surveillance sensors, engines, monitors, vehicles, etc. [7, 8]. The IoT model is truly applicable in different
areas (home, industrial automation, medical assistance, mobile health care, elderly assistance, smart power
management, intelligent networks, cars and more) [9]. At present, this concept is increasingly being
explained as the environment of interconnected people with objects, not only M2M, the IoT is about human
and machine communication based common services.
This type of network consists of smart devices, stand-alone devices that are able to monitor their
surroundings or interact with them. Moreover, "smart" term means that these objects are capable of obtaining
data from the surrounding environment, then process them and communicate (share) them with other objects,
and interact independently with the environment that relies on data that exploits embedded electronics,
software sensors, and actuators, and communication capabilities. In another words, these smart objects,
that are distributed in the surrounding environment and integrated into different contexts, can greatly improve
people interaction with their environment, creating applications and services in any part [10, 11].
Due to the widespread of IoT, many platforms have been developed to link heterogeneous objects
over the Internet. the provider of IoT solutions for different smart things from many manufacturers is difficult
due to the lack of standards such as communication protocols and interconnection. Therefore, it has been
proposed a new development model that depends on the cloud user interface. There are many platforms
developed for the business communities such as Xively, which allow companies to take advantage of

 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 10, No. 4, August 2020 : 3588 - 3595
3590
the Internet features to securely connect their products with their users, manage their data improve
the satisfaction of partners and customers, and make new source of revenue. Many other sources, such as
ThingSpeak, allow user to manage data in different formats and share their data from different sources
[12, 13]. It is an open-source data platform based on cloud technology .It allows online data gathering,
MATLAB analysis and activation using an open API. With applications and extensions, monitoring,
MATLAB visualization, store data, and integrate the user data with a variety of third party platforms, include
leading IoT platforms such as (Arduino,ioBridge, Twilio, Twitter, ThingHTTP and MATLAB). Sensor data
are gathered in each channel containing 8 fields that can hold different type of data, one status field and three
site fields. Various applications such as TimeControl (perform actions automatically at preset times using
the ThingSpeak application), TweetControl (listening to Twitterverse and real-time interaction), React (reacts
when channel data is compatible with some conditions), TalkBack Reaction measures, [14].
3. METHODOLOGY
The water quality problem can be analyzed in real time mainly using data analysis techniques such
as MATLAB in ThingSpeak platform. To analyze different water quality parameters, the data is continuously
collected using sensors that connected to Arduino, and then upload them to the ThingSpeak for monitoring
and analysis purposes. ThingSpeak continuously reads the uploaded data and perform a customable statistics
by using MATLAB code such calculates average, minimum and maximum value for entered data,
comparison between different cities or between different time for same city, etc. the result art can be viewed
with different form such bar chart, histogram, cage, etc.
The steps of our method is summarized as:
 Read the water quality values online using, Turbidity and TDS sensor
 Upload the data to ThingSpeak platform
 Analyze the stream data collected using different codes of MATLAB
 Finally display the results of the analysis in ThingSpeak MATLAB
4. SYSTEM ARTCHITECTURE LAYERS
Design the layered structure of a global network, which includes heterogeneous networks, is a major
challenge mission that requires the identification and effectiveness of a similar group function and elements
of networks as a class. The proposed IoT water monitoring system layers framework consists of four layers,
It is the Perception layer (Devices and sensor in physical world), the Network layer (Ethernet shield and
router), the Service Management layer (Mange the collected information), and the Application layer
(User interface). Each layer below is described as:
4.1. Perception layer
This layer contains of some closely integrated sensors that are integrated with the physical
environment. Sensor modules are compact devices used for physical monitoring condition or chemistry of
the sensor object in real time [15], The primary responsibility of the layer is to gather information about
the water quality, and the devices. The layer is also responsible for data transformation and transport of
the aware data to the Network layer, also collect and distinguish information captured in a cost-effective
manner [16]. Different sensors are used in such:
Turbidity Sensor: The turbidity can be defined as reducing the transparency of the water caused by
the presence of an unresolved suspended substance. The origin of molecules found in water can be minerals
or organic. However, turbidity is not a direct measure of suspended particles in water, but it is a measure of
the effect of scattering of the light. This sensor measures the amount of light diffused by suspended solids in
water. As the amount of suspended solids increases in water, the water turbidity level increases. The unit of
turbidity is NTU (Nephelometric Turbidity Units) [17, 18].
TDS Sensor: TDS (Total Dissolved Solids) refers to the number of milligrams of soluble solids in
one water liter. In general, the high value of the TDS refers to the more soluble solids were in the water, and
the water was less clean. Hence, the TDS value can be used as a measure of water cleanliness. TDS pen is
widely used for measuring the value of TDS, but it is unable to transfer data to the control system for real
time monitoring to conduct some water quality analysis. The TDS sensor kit is highly accurate and can send
data to the control system. It compatible with Arduino, plug and play, easy to use. TDS unit is ppm
(parts per million) [17].

3591
4.2. Network layer
The network layer transfers the data between the device and the many layers to achieve the sharing
of data resources, including data packet routing and system topology. This layer classifies and aggregates
the signal data gathered and transfers it to the servers [15].
4.3. Service management layer
This is the mind of IoT which is responsible for storing the information from bottom layers and,
process it with analyzing ,and making decisions based on our analysis. It considers as an information
management center where processing and analysis technologies and the expert system are key operational
components [12].
4.4. Application layer
This layer represents the smart applications. The main function of this layer is providing intelligent
services to end users such as information visualization and smart notification based on intelligent and netter
analysis of information processed by the service layer. ThingSpeak provide more application in this layer
such Analytics (analysis and visualization ) and Action (ThingTweet, React and ThingHTTP).
5. SYSTEM IMPLEMENTATION
Implementation of our method can be divided into two main parts: hardware implementation and
software. The hardware include microcontroller, turbidity and TDS sensors, and Ethernet shield.
The microcontroller processes the data captured by the turbidity and TDS sensor then sends the data
ThingSpeak Platform using the Ethernet shield. Arduino Uno is used as microcontroller. Figure 1, show
the hardware component of the our system. Basically, the hardware was programmed by using Arduino IDE
software , writing the code and uploading it to the Arduino board. In software part the collected data are
obtained from the hardware part are uploaded in database on line through Thingpeak platform. It can upload
the data to the cloud from any device that supports the Internet. In our work the new channel is created in
ThingSpeak platform as shown in Figure 2.
Figure 1. Implementation of the proposed system

 ISSN: 2088-8708
3592
Figure 2. ThingSpeak channel of proposed system
6. RESULTS
The result of our work is the output curve that generated by ThingSpeak for the purpose of
monitoring. Different curve are used to monitor the water condition such TDS and turbidity for different
places and different days for one place to comparison. There are cage meters is used to view the current water
parameter value. Figure 3, shows the TDS for different places.
Figure 3. TDS monitoring for different places
Now a ThingSpeak visualization application is created with MATLAB coding to compare the TDS
and turbidity between the places for same day, as shown in Figure 4. The TDS and turbidity comparison for
same place with different days is performed, as shown in Figure 5. To analyze the water quality a new
visualization is created that use the mean value for TDS and turbidity of last five sensors value and decides
the water is drinkable or now. Figure 6, shows this visualization. ThingView is a smart phone application
uses a graphical format to see sensor data stored in ThingSpeak. It lets you see ThingSpeak channels in
an easy way by entering the channel ID. Figure 7, shows this application in our work.All the curves are
considered as monitoring, to make the system work as smart, alert system different application is used. In this
work it required to react to the TDS value of the water, so we will send an email when the value is greater
than 300 ppm. To do so, we need ThingSpeak services, ThingHTTP and ThingSpeak React, also IFTTT
Applet. IFTTT is a Web service that allows you to create small applications that work in response to other
actions. It can use the IFTTT Webhooks service to create Web requests to trigger an action such SMS, email
message, etc. The incoming action is an HTTP request to the web server, and the outgoing action is an e-mail
message. At first IFTTT applet is created as shown in Figure 8, to activate the event on IFTTT ThingHTTP is
used with URL of IFTTT applet. We now need an application that interacts with our reading sensor value and
runs the ThingHTTP application. This can be done in ThingSpeak using the React application as shown in
Figure 9. The system can be improved using swarm optimization techinques as in [19, 20], fuzzy logic
control as in [21], Artifical Intellgent as in [22, 23] and using wireless sesnor netwok as [24, 25].

3593
Figure 4. TDS and Turbidity comparison for different places
Figure 5. TDS and Turbidity comparison for different days
Figure 6. Water state decision
Figure 7. Thingview application

 ISSN: 2088-8708
3594
Figure 8. IFTTT applet
Figure 9. ThingHTTP and React applications setting
7. CONCLUSIONS
The paper aims to improve an intelligent monitoring system of water quality for different places.
The proposed system was successfully implemented in hardware and programmed using ThingSpeak
platform. The system can be monitored through PC and smart phone application with a smart alert through
ThingSpeak action application and IFTTT. It provides quick and easy monitoring of turbidity and TDS level
to ensure clean water is maintained continuously. ThingSpeak has provided a suitable environment for
analyzing and comparing the sensor data as observed in graphics and smart alerts. Based on the specified
values, the react application informs the user through email message. According to the obtained results,
the proposed system can be considers as suitable water quality monitoring system. It can be used this system
to another application in healthcare and another systems.

3595
ACKNOWLEDGEMENTS
The authors would like to thank Al-Mustansiriyah University (www.uomustansiriyah.edu.iq)
Baghdad –Iraq for its support in the present work.
REFERENCES
[1] M. Pule, A. Yahya and J. Chuma ,"Wireless Sensor Networks: A Survey on Monitoring Water Quality," Journal of
Applied Research and Technology, vol. 15, no. 6, pp. 562-570, 2017.
[2] M. Parameswari and M. B. Moses, "Online Measurement of Water Quality and Reporting System using Prominent
Rule Controller based on Aqua Care-IoT," Design Automation for Embedded Systems, vol. 22, no. 1-2,
pp. 25-44, 2018.
[3] S. Geetha and S. Gouthami, "Internet of Things Enabled Real Time Water Quality Monitoring System," Smart
Water International Journal for qua-Smart ICT for Water, vol. 2, no. 1, pp. 1-19, 2017.
[4] P. Bokingkito and O. Llantos, "Design and Implementation of Real-Time Mobile-based Water Temperature
Monitoring System," Procedia Computer Science, vol. 124, pp. 698-705, 2017.
[5] Y. Chen and D. Han, "Water Quality Monitoring in Smart City: A Pilot Project," Automation in Construction,
vol. 89, pp. 307-316, 2018.
[6] K. Saravanan, E. Anusuya, R. Kumar and L. Son, "Real-Time Water Quality Monitoring using Internet of Things in
SCADA," Environmental Monitoring and Assessment, vol. 190, no. 556, pp. 1-16, 2018.
[7] A. Zanella, N. Bui, A. Castellani, L.Vangelista and M.Zorzi, "Internet of Things for Smart Cities," IEEE Internet of
Things Journal, vol. 1, no. 1, pp. 22-32, 2014.
[8] N.S. Kumar, Mallikharjuna R.K, M. Kothuru and Y.N. Rao, "Multi-Dimensional Parametric Assessment with IoT
in Acquaintance of Digital Pipeline," International Journal of Electrical and Computer Engineering (IJECE),
vol. 9, no. 6, pp. 4649-4656, 2019.
[9] A.H. Ali, A.H. Duhis, N.A.L. Alzurfi and M.J. Mnati, "Smart Monitoring System for Pressure Regulator based on
IoT," International Journal of Electrical and Computer Engineering (IJECE), vol. 9, no. 5, pp. 3450-3456, 2019.
[10] V. Paciello, M. Carratu, F, Abate and C. Liguori, "A Low Cost Smart Power Meter for IoT," Measurement,
vol. 136, pp, 59-66, 2019.
[11] K. Luechaphonthara and A.Vijayalakshmi ,"IoT based Application for Monitoring Electricity Power Consumption
in Home Appliances," International Journal of Electrical and Computer Engineering (IJECE), vol. 9, no. 6,
pp. 4988-4992, 2019.
[12] D. Meana, C. Gonz, B. Pelayo and J. Manuel, "IoFClime: The fuzzy Logic and the Internet of Things to Control
Indoor Temperature Regarding the Outdoor Ambient Conditions," Future Generation Computer Systems,
vol. 76, pp. 275-284, 2017.
[13] M. Swain, et al., "A Reliable Approach to Customizing Linux Kernel using Custom Build Tool-Chain for ARM
Architecture and Application to Agriculture," International Journal of Electrical and Computer Engineering
(IJECE), vol. 9, no. 6, pp. 4920-4928, 2019.
[14] P.P. Ray, "A Survey of IoT Cloud Platforms," Future Computing and Informatics Journal, vol. 1, no. 1-2,
pp. 35-46, 2016.
[15] S. Du, et al., IIoT-Based Intelligent Control and Management System for Motorcycle Endurance Test,”
IEEE Acess, vol. 6, pp. 30567-30576, 2018.
[16] O. Kaiwartal, et al., "Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and
Future Aspects," IEEE Acess, vol. 4, pp. 5356-5373, 2016.
[17] M. Hassan, "Real Time Water Quality Monitoring Boat," Proceedings, vol. 2, pp. 1-5, 2018.
[18] S. N. Ibrahim, et al., "Web based Water Turbidity Monitoring and Automated Filtration System: IoT Application in
Water Management," International Journal of Electrical and Computer Engineering (IJECE), vol. 8, no. 4,
pp. 2503-2511, 2018.
[19] A.H. Miry, A.H. Mary, and M.H. Miry ,"Improving of Maximum Power Point Tracking for Photovoltaic Systems
Based on Swarm Optimization Techniques," IOP Conference Series: Materials Science and Engineering, vol. 19,
pp. 1-10, 2019.
[20] A.H. Miry, A.H. Mary, and M.H. Miry, "Mixed Robust Controller with Optimized Weighted Selection for a DC
Servo Motor," Proceedings of the International Conference on Information and Communication Technology,
ACM International Conference Proceeding Series, pp. 178-183, 2019.
[21] A.H. Mary, Tolgay Kara, and A.H. Miry, "Inverse kinematics solution for robotic manipulators based on fuzzy
logic and PD control," Al-Sadiq International Conference on Multidisciplinary in IT and Communication
Techniques Science and Applications, IEEE, pp. 1-6, 2016.
[22] A.H. Miry, "Face detection based on multi facial feature using fuzzy logic," Al-Mansour Journal, vol. 21,
pp. 15-30, 2014.
[23] A.H. Miry, "Modeling and Control of Torso Compass Gait Biped Robot with AI Controller," Iraq J. Electrical and
Electronic Engineering, vol. 13, no. 1, pp. 32-37, 2017.
[24] V. Reddy and P. Gayathri, "Integration of internet of things with wireless sensor network," International Journal of
Electrical and Computer Engineering (IJECE), vol. 9, no. 1, pp. 439-444, 2019.
[25] M.I. Younis and T.F. Hussein, "Design and Implementation of a Contactless Smart House Network System,"
International Journal of Electrical and Computer Engineering (IJECE), vol. 8, no. 6, pp. 4663-4672, 2018.

Water monitoring and analytic based ThingSpeak

More Related Content

What's hot (20)

Similar to Water monitoring and analytic based ThingSpeak (20)

More from IJECEIAES (20)

Recently uploaded (20)

Water monitoring and analytic based ThingSpeak