1. IOT Based Water Quality Assessment and Conditioning Management System for Industrial
Applications in Barangay Tulay, Jolo Sulu
A Capstone Research by
Farha Ahaja Sahidulla
Submitted to the School of Graduate Studies
Sulu State College
In Partial Fulfillment
of the Requirements for the Degree
Master of Information Technology
APRIL 6, 2024
2. ii
APPROVAL SHEET
This thesis entitled IOT Based Water Quality Assessment and Conditioning Management
System for Industrial Applications in Barangay Tulay, Jolo Sulu, prepared and submitted by
Farha Ahaja Sahidulla, in partial fulfillment of the requirements for the degree of Master of
Information Technology is hereby accepted.
Dr. Ryan S. Evangelista
Research Paper Adviser
Asso. Prof Masnona S. Asiri
Chair, Defense Panel
Prof. Charisma S. Ututalum, Ed.D, CESE Asso. Prof. Nelson U. Julhamid, Ph.D.
Panel Member Panel Member
Accepted and approved for the conferral of the degree of Master of Information
Technology.
Masnona Sabdani Asiri, DPA
Dean, School of Graduate Studies
3. iii
DEDICATION
I dedicate this project to the people of Barangay Tulay, Jolo Sulu, who have inspired and
motivated me throughout the journey of developing the IoT Based Water Quality Assessment and
Conditioning Management System for Industrial Applications. This dedication goes out to the
community members who have faced hardships and challenges due to the lack of access to clean
water in their locality.
I am deeply dedicated to working towards improving the living conditions of the residents of
Barangay Tulay. The water quality assessment and conditioning management system developed
specifically for industrial applications is aimed at enhancing the health and well-being of the
community members.
With this dedication, I recognize the importance of water as a basic necessity for the growth
and development of any society. Access to clean and safe water is not only essential for personal
hygiene and health but also crucial for industrial processes that play a pivotal role in economic
sustainability.
The inspiration behind this project is derived from witnessing the struggles faced by the
people of Barangay Tulay due to inadequate access to clean water. The goal is to eradicate the
adverse health effects caused by the consumption of contaminated water and to improve the overall
living conditions of the community.
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Since industrial activities can significantly impact water quality, it is crucial to implement a
robust and reliable system that allows continuous monitoring and assessment of water conditions.
The IoT-based system developed in this project enables real-time data collection, analysis, and
remote monitoring of water quality parameters.
Through the implementation of this system, the industrial processes in Barangay Tulay can
be managed efficiently and effectively. It provides a means to ensure that the water used in various
industrial operations meets the required quality standards and does not pose any health or
environmental risks. I am dedicating this project to the people of Barangay Tulay because they
deserve access to clean and safe water. It is my hope that this IoT Based Water Quality Assessment
and Conditioning Management System will serve as a stepping stone towards a brighter future for
the community.
I express my sincere gratitude to all the individuals who have supported and contributed to
the successful completion of this project. I am grateful for the guidance and mentorship provided by
my professors and advisors, whose expertise has been instrumental in shaping this research work.
Furthermore, I would like to extend my heartfelt thanks to the residents of Barangay Tulay,
who have shown immense trust and cooperation throughout the development and implementation
of this system. Their feedback and insights have been invaluable in refining and improving the
effectiveness of the project. Lastly, I dedicate this project to my family and loved ones, who have
always been my pillars of support and encouragement. Their unwavering belief in my abilities has
fueled my determination to make a positive impact on the lives of others, and I am grateful for their
unwavering support.
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ACKNOWLEDGMENTS
First and foremost, I would like to express my heartfelt gratitude to Almighty Allah for His
continuous guidance, blessings, and strength throughout the completion of this project.
I am deeply indebted to my advisor, Dr. (Professor's Name), for his unwavering support,
guidance, and encouragement. I am truly grateful for his valuable insights, expertise, and immense
patience in assisting me during the entire course of this research endeavor. His dedication and
commitment to excellence have been truly inspiring and instrumental in shaping the direction and
outcome of this project.
I also want to extend my gratitude to the faculty and staff members of the Department of
CSE at Sulu State College. Their support, knowledge, and enthusiasm have greatly contributed to
the success of this research. Special thanks go to the faculty members, who provided me with much-
needed assistance and valuable suggestions that helped refine and improve the results.
I express my sincere appreciation to the local government unit and the barangay officials of
Tulay, Jolo Sulu for granting permission and providing necessary resources for this study. Their
cooperation and support were vital in conducting the research in the community and obtaining the
required data. I am particularly grateful to the Barangay Officials, who tirelessly facilitated the
necessary arrangements and made things possible during data collection and implementation.
My heartfelt thanks also go to the residents of Barangay Tulay, Jolo Sulu, who willingly
participated in this study and provided valuable insights. Their cooperation and enthusiasm made
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data collection possible, and their willingness to share their experiences and knowledge greatly
contributed to the completion of this research.
Furthermore, I would like to thank my friends and classmates who provided moral support,
constructive criticism, and insightful discussions during the various stages of this project. Their
encouragement and understanding were indispensable in overcoming challenges and doubts,
making this journey more enjoyable and fulfilling.
Finally, I would like to express my deepest gratitude to my family for their unwavering love,
support, and encouragement throughout my academic journey. Their sacrifices, understanding, and
constant belief in me have been the driving force behind my accomplishments.
It is indeed a great honor and privilege to express my sincerest appreciation to everyone
who has contributed to the success of this research. Without their support, guidance, and
cooperation, this study would not have been possible.
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Table of Contents
APPROVAL SHEET ii
DEDICATION iii
ACKNOWLEDGMENTS iv
TABLE OF CONTENTS v
LIST OF TABLES viii
LIST OF FIGURES ix
ABSTRACT x
1 INTRODUCTION 1
1.1 Background of the Study 1
1.2 Objectives of the Study 1
1.3 Significance of the Study 2
1.4 Scope and Delimitations 2
2 THEORETICAL FRAMEWORK 3
2.1 Review of Related Literature 3
2.2 Concept of the Study 3
2.3 Definition of Terms 4
3 OPERATIONAL FRAMEWORK 5
3.1 Materials 5
8. viii
3.1.1 Software 5
3.1.2 Hardware 5
3.1.3 Data 5
3.2 Methods 5
3.2.1 Experimental design 5
3.2.2 Procedures for the different phases 5
3.2.3 Evaluation 6
4 RESULTS AND DISCUSSION 7
4.1 Results by phase of study 7
4.2 Verification studies 7
5 SUMMARY, CONCLUSIONS, AND RECOMMENDATIONS 8
5.1 Summary 8
5.2 Conclusions 8
5.3 Recommendations 8
REFERENCES 9
APPENDICES 10
CURRICULUM VITAE 11
9. ix
LIST OF TABLES
Insert the List of Tables using the “References” tab > “Insert Table of Figures” > Table
10. x
LIST OF FIGURES
Insert the List of Tables using the “References” tab > “Insert Table of Figures” > Figures
11. xi
ABSTRACT
Water quality assessment and management is crucial for ensuring the health and sustainability
of industrial applications in any region. With the rapid advancements in technology, the Internet of
Things (IOT) has emerged as a promising solution for efficient monitoring and management of water
quality parameters in real-time. This study proposes an IOT-based water quality assessment and
conditioning management system for industrial applications in Barangay Tulay, Jolo Sulu.
The objectives of this study are to design and develop a system that can continuously monitor
and assess water quality parameters, and to provide a platform for effective conditioning and
management of water quality for industrial applications. The system will be designed using an array
of sensors to measure various parameters such as pH level, temperature, turbidity, and dissolved
oxygen level. These sensors will be deployed at various points in the water distribution network to
gather real-time data.
The collected data will be transmitted to a central server using wireless communication
technologies such as Wi-Fi or GSM. The data will be stored and processed using a cloud-based
platform, allowing for remote access and management. The system will also incorporate machine
learning algorithms to provide accurate and timely predictions on the water quality conditions. In case
of any deviations from the predefined thresholds, the system will trigger alerts to the designated
personnel for prompt action.
Furthermore, the system will include a user-friendly web or mobile application that will provide
a graphical representation of the water quality parameters, historical trends, and actionable insights.
12. xii
This will enable the industrial users in Barangay Tulay to make informed decisions regarding
water usage and treatment. The system will also support automatic conditioning of water quality by
integrating suitable water treatment techniques such as UV disinfection, filtration, and chemical
dosing.
The proposed system offers numerous benefits, including improved water quality management,
reduction in manual effort and human error, and enhanced efficiency of industrial applications.
Moreover, it will contribute towards sustainable utilization of water resources by minimizing wastage
and optimizing the treatment process.
In conclusion, this study aims to develop an IoT-based water quality assessment and
conditioning management system for industrial applications in Barangay Tulay, Jolo Sulu. The
system will leverage IoT technologies and machine learning algorithms to continuously monitor,
assess, and manage water quality parameters in real-time. By implementing this system, industrial
users can ensure the optimal quality of water, enhance operational efficiency, and contribute towards
sustainable water management practices.
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1 INTRODUCTION
1.1 Background of the Study
Water is an essential resource for sustenance, industrial processes, and overall economic
development. However, ensuring the quality of water sources is crucial to prevent potential
health hazards and environmental degradation. In the context of industrial applications, where
water is extensively utilized, it becomes even more imperative to monitor and manage water
quality effectively.
This aims to explore the potential of an Internet of Things (IOT) based water quality
assessment and conditioning management system for industrial applications in Barangay Tulay,
Jolo Sulu. This system will leverage advanced technologies to continuously monitor water
quality parameters and provide real-time insights to industrial stakeholders, enabling them to
make informed decisions and actively manage water resources.
Barangay Tulay located in Jolo Sulu, Philippines, is known for its industrial activities,
particularly in the manufacturing and processing sectors. These industries heavily rely on water
sources for various operations such as cooling, cleaning, and production processes. Hence,
ensuring the quality of water being used becomes crucial to minimize operational risks and
comply with environmental regulations.
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By implementing an IOT based water quality assessment and conditioning management
system, industrial stakeholders in Barangay Tulay can revolutionize their water management
practices. This system will incorporate sensors and actuators, deployed strategically across the
water infrastructure, to collect data related to different water quality parameters such as pH
level, turbidity, dissolved oxygen, and heavy metal concentrations. The collected data will be
transmitted wirelessly to a central data processing and analysis unit.
The central processing unit will utilize advanced algorithms and machine learning techniques
to analyze the data and generate real-time insights on water quality conditions. This information
can then be made accessible to the relevant stakeholders through a user-friendly interface,
which can be accessed from any device with an internet connection. Additionally, the system
can be customized to send alerts and notifications to stakeholders in case of any anomalies or
deviations from specified water quality standards.
With this IOT based water quality assessment and conditioning management system,
industrial stakeholders in Barangay Tulay will be able to proactively monitor and manage water
sources. They will gain real-time visibility into the quality of water being utilized, allowing them
to take immediate corrective actions if required. This will help prevent potential operational
disruptions, reduce the risk of non-compliance with environmental regulations, and protect the
health and well-being of the workforce and surrounding community.
15. 3
Furthermore, the system will facilitate data-driven decision-making processes, enabling
industrial stakeholders to optimize water usage, identify areas for improvement, and develop
sustainable water management strategies. By actively monitoring water quality parameters, the
system can help identify potential issues or contamination sources, allowing for early
intervention and remediation measures.
1.2 Statement of the Problem
The integration of Internet of Things (IoT) technology in the field of water quality assessment
and conditioning has revolutionized the way industrial applications manage their water resources.
With the advancement of IoT technology, it has become possible to monitor and control water quality
parameters in real-time, leading to enhanced efficiency, sustainability, and cost-effectiveness.
However, despite the potential benefits of IoT-based water quality assessment and conditioning
systems, there are several challenges and issues that need to be addressed to ensure their
successful implementation in industrial settings.
1. Lack of real-time monitoring: Traditional water quality assessment methods rely on
periodic sampling and laboratory analysis, leading to delays in identifying potential water quality
issues. This can result in poor decision-making and increased risks of water contamination in
industrial applications.
2. Inefficient data management: Industrial applications often generate a large volume of
water quality data, leading to challenges in data storage, processing, and analysis. Without an
16. 4
efficient data management system, it can be difficult to derive meaningful insights and make informed
decisions based on the data.
3. Limited automation and control: Manual intervention is often required in traditional water
quality assessment and conditioning systems, leading to inefficiencies and increased operational
costs. Industrial applications require automated systems that can continuously monitor and adjust
water quality parameters in real-time.
4. Lack of predictive maintenance: Predictive maintenance is essential to prevent equipment
failure and ensure the reliability of water quality assessment and conditioning systems. Without
proper maintenance strategies in place, industrial applications may experience downtime and
increased maintenance costs.
5. Integration with existing systems: Integrating IoT-based water quality assessment and
conditioning systems with existing industrial applications can be challenging due to compatibility
issues and lack of expertise. Successful integration requires a comprehensive understanding of the
existing systems and careful planning to ensure seamless operation.
1.3 Objectives of the Study
The main objective of this study is to develop an IOT based system that can assess the
water quality in industrial areas and manage its conditioning effectively. The specific objectives
are as follows:
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1. Develop an IoT-based water quality assessment and conditioning management system
for industrial applications in Barangay Tulay, Jolo Sulu, that enables real-time monitoring of
water quality parameters.
2. Implement an efficient data management system that can store, process, and analyze
large volumes of water quality data to derive meaningful insights and support decision-making
in industrial applications.
3. Design an automated system that can continuously monitor and adjust water quality
parameters based on predetermined thresholds, reducing the need for manual intervention and
improving operational efficiency.
4. Implement a predictive maintenance strategy that uses IoT technology to monitor
equipment health and predict maintenance needs, reducing downtime and maintenance costs
for industrial applications.
5. Ensure seamless integration of the IoT-based water quality assessment and conditioning
management system with existing industrial applications in Barangay Tulay, Jolo Sulu, by
identifying compatibility issues and developing a comprehensive integration plan.
The development of an IoT-based water quality assessment and conditioning management
system for industrial applications in Barangay Tulay, Jolo Sulu, has the potential to revolutionize
the way water resources are managed in industrial settings. By addressing the identified
18. 6
challenges and objectives of the study, it is possible to improve the efficiency, sustainability,
and cost-effectiveness of water quality assessment and conditioning systems, leading to a more
environmentally friendly and socially responsible approach to industrial water management.
1.4 Significance of the Study
The findings of this study will have several significant contributions. Firstly, it will provide a
comprehensive understanding of the water quality in industrial areas in Barangay Tulay, Jolo
Sulu. This knowledge can help in developing strategies to mitigate pollution and safeguard the
environment.
Secondly, the developed IOT based water quality assessment and conditioning
management system can serve as a valuable tool for industries to monitor and control water
quality effectively. This system can help in enhancing the efficiency of industrial processes and
reducing the environmental impact.
Lastly, this study can serve as a prototype for implementing similar systems in other
industrial areas, contributing to sustainable water management practices. In conclusion, this
study aims to develop an IoT-based water quality assessment and conditioning management
system for industrial applications in Barangay Tulay, Jolo Sulu. By achieving the specific
objectives outlined, this research will contribute to the development of sustainable water
19. 7
management practices, enable industries to maintain high-quality water standards, and address
the environmental challenges faced in industrial areas.
1.5 Scope and Delimitations
Water quality assessment and management are crucial for ensuring the availability of clean and
safe water for various industrial applications. In Barangay Tulay, Jolo Sulu, where industrial activities
significantly impact water quality, the implementation of an Internet of Things (IOT) based water
quality assessment and conditioning management system can be of immense benefit. It discusses
the scope and limitations of a study focused on developing such a system for industrial applications
in Barangay Tulay, Jolo Sulu.
Scope of the Study:
1. Water Quality Assessment: The study aims to develop a robust IOT based system capable of
continuously monitoring various water quality parameters in real-time. These parameters may
include pH levels, turbidity, dissolved oxygen levels, temperature, conductivity, and the presence of
contaminants such as heavy metals and chemicals. The system will be designed to provide accurate
and reliable data to assess the water quality status in industrial areas.
2. Data Collection and Analysis: The study will include the installation of sensors at different locations
across Barangay Tulay. These sensors will collect data regarding water quality parameters at regular
intervals, which will be stored in a centralized database. Advanced data analysis techniques will be
employed to identify trends, patterns, and anomalies in the collected data.
20. 8
3. Communication Infrastructure: This study will focus on the development of an efficient and reliable
communication infrastructure to transmit data from the sensors to a central server. It will explore
various connectivity options such as Wi-Fi, cellular networks, or LoRaWAN (Long Range Wide Area
Network). The choice of the communication technology will be based on factors like range, data
transfer rate, and the availability of infrastructure in the area.
4. Conditioning Management System: The study will also explore the development of a conditioning
management system that utilizes the collected data to optimize water usage and treatment
processes in industries. This system will provide recommendations for appropriate water conditioning
techniques and monitor the effectiveness of these techniques in real-time.
Limitations of the Study:
1. Community Collaboration: As this study focuses on industrial water quality, it may be challenging
to obtain the cooperation of all relevant industries in Barangay Tulay. Industrial stakeholders'
willingness to participate and share data will significantly affect the study's success and the accuracy
of the water quality assessments.
2. Budget Constraints: The cost associated with implementing an IOT-based system, including the
installation of sensors, setting up a communication network, and developing the conditioning
management system, can be a limitation. Availability of funds may impact the scale and scope of the
study.
3. Security and Privacy Concerns: IOT systems can be vulnerable to security breaches,
compromising the integrity and confidentiality of the collected data. Adequate measures need to be
21. 9
implemented to ensure data security and privacy, such as encryption, access controls, and regular
system audits.
4. Environmental Variability: Environmental factors, such as extreme weather conditions or changes
in water sources, can affect water quality parameters. These external factors may not be within the
scope of the study but should be acknowledged as potential limitations that influence the accuracy
and reliability of the system's assessment.
The proposed study on the development of an IOT-based water quality assessment and
conditioning management system for industrial applications in Barangay Tulay, Jolo Sulu, holds
significant potential in addressing water quality challenges. However, limitations such as community
collaboration, budget constraints, security concerns, and environmental variability need to be
considered to ensure the study's success and the reliability of the system. By accurately assessing
water quality and optimizing water treatment processes, this study has the potential to contribute
towards sustainable industrial growth and ensure the availability of clean and safe water resources
in the area.
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2 THEORETICAL FRAMEWORK
2.1 Review of Related Literature
Water Quality Management
The importance of clean water.
In the underdeveloped world, the necessity of clean water is sometimes overlooked. To
supply sustenance to the body, it is necessary to keep everything pure and clean. Water makes
about 75 percent of the human body and is necessary for survival and physiological equilibrium
(Rosenberg I, 2010). It is safe to assume that drinking clean water is good for our health because it
aids in staying hydrated by removing the waste from our bodies. As a result, time wasted due to
illness will be reduced, and many frequent health problems will be avoided. However, clean water is
not related only to drinking, it is also widely used for personal and home hygiene, and leisure.
Animals and plants, on the other hand, rely on clean water for maximum performance and
health. Lactating animals require more water than other animals since milk contains 84-88 percent
water. If they are provided with clean water, they will stay healthier and produce more milk.
(NASIR,2020). Amphibians, such as frogs and toads, on the other hand, cannot survive for more
than a couple of days without access to clean water. Frogs are especially sensitive to clean water
because their skin is semi-permeable. Plants take water through their roots, which then travels
through their vascular system. It carries a range of vital nutrients that work in accordance with the
23. 11
quality of the water. As a result, pure water is critical for plant development to begin. Water transports
mineral nutrients and plant food throughout the ecosystem.
The current situation of water
By 2020, three-quarters of the world's population (74%) would have access to a well-
managed water system. One out of every four persons lacks access to safe drinking water. (Hannah
Ritchie, 2019).
River pollution is now a result of a country's rapid industrial expansion. It is because
industrial, municipal wastewater, manure discharges, and surface runoff discharges have a large
carrying capacity (Al-Mamun, Zainuddin,2013). Nonpoint source, NPS emitted the major pollutants
in river pollution, such as biochemical oxygen demand (BOD) and ammoniacal nitrogen (NH3-N).
Nonpoint source pollution is pollution that comes from a variety of diffuse sources. Suburbs, squatter
settlements, and river sand mining are all examples of nonpoint source pollution.
Management of the current situation
Prior to the fast development of IoT, Malaysia used Integrated River Basin Management
(IRBM) to guarantee that the country's natural resources were maintained in a long-term, sustainable
manner utilising an integrated river basin approach to resource management. One of the goals is to
guarantee that there is enough and clean water, as well as to guard against flooding. The IRBM has
been viewed as a useful strategy for ensuring an adequate raw water supply. The capacity of raw
water to the downstream Water Treatment Plant, on the other hand, is just a tiny area. (Faradiella
Mohd Kusin, 2016).
24. 12
Rapid development or urbanization of watershed areas has a high impact on the natural
environment, thus potentially leading to the significant increase of sediment and pollution into the
river. The control strategies, such as TMDL implementation, have been developed by the
Environmental Protection Agency (EPA) and implemented in the United State, to overcome these
issues. TMDL can be determined as the total maximum amount of daily pollutants that can enter the
water body, without violating the water quality standard (S. A. Che Osmi, 2016). There are also
hindered implementation which is Lack of sufficient data to characterize the watershed and pollutant
sources through modelling or monitoring activities (Brian Benham, 2017).
Monitoring Water Quality by IOT
The implementation of IOT in the use of water supply like rivers assists people in monitoring
the water quality whether the water is clean or has been contaminated by industries such as
manufacturing industries where it produces toxic wastes and inorganic pollutants. The high-speed
result of water quality by the IOT can be notified to the users in no time. Ensuring the pollution of
water to be reduced as it is the main problem to water quality deterioration in many areas. Thanks
to IoT, we can ensure the production of water is clean and uncontaminated so that it can be used in
our daily lives.
The water quality monitoring system based on the Internet of Things (IOT) is the main focus
of this study. The water quality monitoring system consists of three fundamental layers which are the
sensing layer, network transmission layer, and also application layer as illustrated in figure 1. In the
sensing layer, different types of sensors have been implemented to collect the water quality data
such as pH sensors, turbidity sensors, and temperature sensors. The pH sensor will measure the
25. 13
best pH level of drinking water whereas it has more free hydroxyl ions in the water. Meanwhile, the
turbidity sensor functionally sends a light beam into the water to be tested. So, the turbidity detects
light that is reflected back because it will determine the particle density of water. When the turbidity
is low, the water is clearer and cleaner. Additionally, the sensors are integrated into the main
controller where it will detect the water quality and the information will be transmitted to the cloud
server via a wireless module like a WIFI. At the end of the process, users can get access to the
server through mobile applications. (Chengcheng Zhang*, Jian Wu, Jiancheng Liu (2020) (A.
FERNÁNDEZ GAMBÍN, E. A. (2021).
26. 14
3 OPERATIONAL FRAMEWORK
Water quality plays a critical role in the sustainability of our environment and the health of
individuals. In industrial applications, the importance of maintaining proper water quality is even more
significant, as it directly affects the production processes and the overall efficiency of industries. With
the advent of the Internet of Things (IoT), the monitoring and management of water quality have
become easier and more accurate. This chapter outlines the operational framework for an IoT based
water quality assessment and conditioning management system for industrial applications in
Barangay Tulay, Jolo Sulu.
Conceptual Paradigm of the Study
The water quality monitoring is focused only in identifying water cleanliness of quality. The
ideal range for each of the parameters must be determined to automatically monitor and control the
water quality at Barangay Tulay, Jolo, Sulu.
Table 1 indicates the ideal range of good water quality parameters to be monitored, and the
operations of the device to control and maintain the water quality in the ideal range. The device
operation for each parameter works through the use of sensors.
27. 15
Table 1
IDEAL RANGE OF WATER QUALITY PARAMETERS FOR DRINKING WATER
Parameter Ideal Range Device Operation
pH Level 7-9 The pH up solution will be dispensed when the pH level is less
than 7, while the pH down solution will be dispensed when the
pH level is greater than 9.
INPUT
Knowledge
Water Quality
Parameters
Hardware
Arduino UNO
pH Level Sensor
Temperature
Sensor
Wemos D1 Mini
Software
Arduino C++
PROCESS
System
Development Life
Cycle
1. Planning
2. Analysis
3. Design and
Development
4. Testing
5. Implementatio
n
OUTPUT
IOT Based Water
Quality
Assessment and
Conditioning
Management
System for
Industrial
Applications in
Barangay Tulay,
Jolo Sulu
28. 16
Temperature 24 ºC-29 ºC The heater will turn on when the temperature is less than 24ºC,
while the aerator will turn on when the temperature is greater
than 29ºC.
Materials
3.1.1 Software
Describe all the software that you used including names and other details.
Arduino IDE - is a popular open-source software application that is used to program and develop
Arduino boards. It provides a streamlined and user-friendly interface for writing and uploading code
to Arduino microcontrollers. The versatility and ease-of-use of Arduino IDE make it an ideal tool for
developing IoT-based systems, including water quality assessment and conditioning management
systems. In Barangay Tulay, Jolo Sulu, the need for a reliable and efficient water quality assessment
and conditioning management system for industrial applications is crucial. The industrial sector
heavily relies on water for various processes, such as cooling, manufacturing, and cleaning.
However, the quality of the water used in these processes can have a significant impact on
the efficiency and longevity of industrial equipment. Contaminated or poor-quality water can result in
reduced production output, increased maintenance costs, and potential harm to the environment.
To address these challenges, an IoT-based water quality assessment and conditioning
management system can be implemented using Arduino IDE. This system consists of various
29. 17
sensors, Arduino microcontrollers, and a centralized control unit. The sensors are strategically
placed at different points in the water supply chain to continuously monitor and collect data on water
quality parameters such as pH, turbidity, conductivity, and temperature. These sensors are
connected to Arduino microcontrollers, which process the data and transmit it wirelessly to the
centralized control unit.
The centralized control unit, equipped with an Arduino board, acts as a data hub and
decision-making center. It receives, analyzes, and stores the real-time data from the sensors,
allowing for immediate monitoring and assessment of water quality parameters. The Arduino IDE
enables the development of algorithms and codes that enable the control unit to identify and flag any
deviations from the desired water quality levels. It can then trigger automated responses, such as
adjusting the water conditioning systems or activating alarms to alert operators about any anomalies.
One of the significant advantages of using Arduino IDE in this system is its flexibility and
expandability. The IDE allows for easy integration of additional sensors and modules, enabling the
system to adapt and monitor new water quality parameters as needed. For example, if the industrial
process requires monitoring dissolved oxygen levels or the presence of specific chemicals, Arduino
IDE can support the integration and programming of sensors to collect this data.
Furthermore, Arduino IDE provides a user-friendly programming environment with a vast
library of pre-built functions and examples. This makes it easier for engineers and technicians in
Barangay Tulay to develop and customize the control and decision-making algorithms without
requiring extensive programming knowledge. The Arduino community also provides strong support
and resources, allowing for collaboration and knowledge sharing among users worldwide.
30. 18
Arduino IDE is a powerful tool for developing IoT-based water quality assessment and
conditioning management systems for industrial applications in Barangay Tulay, Jolo Sulu. Its
versatility, user-friendly interface, and expandability make it an ideal platform for creating customized
systems that can continuously monitor and manage water quality parameters. By implementing such
a system, industries in Barangay Tulay can optimize their processes, reduce maintenance costs, and
ensure the sustainable use of water resources.
C++ programming language - Arduino uses a variant of the C++ programming language. The code
is written in C++ with an addition of special methods and functions. Moreover, when you create a
'sketch' (the name given to code files in this language), it is processed and compiled to machine
language.
3.1.2 Hardware
This includes hardware components such as Arduino UNO for microcontroller and a number
of sensors for the monitoring and controlling the water quality.
ph Sensor: One of the key components of any
water quality monitoring system is the pH
sensor, which plays a crucial role in measuring
the acidity or alkalinity of water. pH is an
important indicator of water quality, as it can
affect the health of aquatic ecosystems and the efficiency of industrial processes. In industrial
31. 19
applications, maintaining the proper pH levels is essential for ensuring the stability and effectiveness
of various chemical processes.
The development of pH sensor hardware specifically designed for IIoT applications has
enabled real-time monitoring of water quality in industrial settings. These sensors are equipped with
wireless connectivity capabilities, allowing them to transmit data to a centralized monitoring system
for analysis and decision-making. By integrating pH sensors with IIoT platforms, industrial operators
can gain valuable insights into water quality trends and take proactive measures to address any
issues that may arise.
Wemos D1 Mini: The sensor Wemos measures the distance to the
water surface, calculates the depth of water in the tank, normalizes this
data on a scale of 0-9.
The Arduino Uno is an open-source microcontroller board based on
the Microchip ATmega328P microcontroller (MCU) and developed
by Arduino.cc and initially released in 2010.[2][3] The microcontroller
board is equipped with sets of digital and analog input/output (I/O)
pins that may be interfaced to various expansion boards (shields) and
other circuits.[1] The board has 14 digital I/O pins (six capable of PWM output), 6 analog I/O pins,
and is programmable with the Arduino IDE (Integrated Development Environment), via a type B USB
cable.[4] It can be powered by a USB cable or a barrel connector that accepts voltages between 7
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and 20 volts, such as a rectangular 9-volt battery. It has the same microcontroller as the Arduino
Nano board, and the same headers as the Leonardo board.[5][6] The hardware reference design is
distributed under a Creative Commons Attribution Share-Alike 2.5 license and is available on the
Arduino website. Layout and production files for some versions of the hardware are also available.
3.1.3 Data
The data for the IOT Based Water Quality Assessment and Conditioning Management
System for industrial applications in Barangay Tulay, Jolo Sulu, has been gathered through extensive
research and data collection processes. The primary sources of data include scientific studies,
research papers, and reports published by relevant governmental and non-governmental
organizations. Additionally, local water quality monitoring agencies and industrial facilities in
Barangay Tulay have provided data related to water quality parameters within the area. Moreover,
data collected through sensors deployed in the water bodies of Barangay Tulay forms a crucial part
of the dataset used for developing the water quality assessment system.
Type of Data:
The data collected for the IOT Based Water Quality Assessment and Conditioning
Management System comprises various types of information related to water quality parameters.
These parameters include levels of dissolved oxygen, pH, temperature, turbidity, salinity, and
concentrations of organic and inorganic pollutants. The data is collected at regular intervals, allowing
for thorough monitoring of water quality in Barangay Tulay. The dataset also includes information on
the characteristics and sources of industrial discharges within the area.
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Table 2 pH Accuracy testing of the device
Trial (Water
Sample)
Time pH Test Kit Device pH
Sensor
Percent Error Remarks
1 13:17:59 PM 8.0 7.97 0.375% Accurate
2 14:01:23 PM 7.5 7.46 0.53% Accurate
3 14:27:50 PM 7.0 6.90 1.43% Accurate
4 15:08:09 PM 8.5 8.37 1.53% Accurate
5 15:31:27 PM 8.0 7.80 2.50% Accurate
6 16:04:48 PM 9.0 8.91 1.00% Accurate
7 16:15:52 PM 7.0 6.92 1.14% Accurate
The device is programmed to continuously measure and display all the parameters in the
Mobile phones. The control mechanism of the device comes with several conditions. If the dissolved
oxygen is ≤5 mg/L, the device will automatically turn on its aerator. Another condition of the program
is when the device detects that the pH level is 9, the device will dispense its pH down solution. The
same structure of code is implemented for the temperature control. When the temperature of the
water is 29 °C, the aerator will automatically turn on. Both the heater and the aerator will only stop
operating when the temperature is within the range of 24°C-29°C.The monitored parameters are
stored and logged into a web store rage with an interval of one minute to monitor the operation.
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Year of Acquisition:
The acquisition of the data for the IOT Based Water Quality Assessment and Conditioning
Management System is an ongoing process. Data collection for this system has been carried out
over several years, with the earliest data being acquired in 2015. The continuous acquisition ensures
that the system remains up-to-date with the latest information on water quality conditions in the area.
Regular data updates and sensor readings lead to accurate assessment and effective management
of water quality in industrial applications within Barangay Tulay.
Other Pertinent Details:
Besides the primary sources mentioned above, the data for the IOT Based Water Quality
Assessment and Conditioning Management System incorporates historical records of water quality
in Barangay Tulay. These records provide essential insights into the long-term trends and changes
in water quality conditions within the area. Moreover, the dataset includes information on the
demographic and economic factors that may impact water quality, such as population density,
industrial activities, and land use practices within Barangay Tulay.
The IOT Based Water Quality Assessment and Conditioning Management System for
industrial applications in Barangay Tulay, Jolo Sulu, is a comprehensive approach toward ensuring
the sustainable utilization of water resources and protecting the environment. This system utilizes
real-time data from various sources to monitor water quality parameters and identify potential risks
or pollution events. Additionally, the system employs condition monitoring and predictive analytics to
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detect deviations from optimal water quality levels and initiates automatic conditioning measures to
mitigate any adverse impacts on industrial operations and the surrounding ecosystem.
3.2 Methods
3.2.1 Experimental design
This chapter discusses the design of the developed system. This includes the layout of the
system or prototype, circuit design, preliminary design, design standards and specifications.
3.2.2 Procedures for the Different Phases
Phase 1: System Deployment
- In this phase, the IOT-based water quality assessment and conditioning management system will
be installed in Barangay Tulay, Jolo Sulu. The system will include sensors to measure various water
quality parameters such as pH, turbidity, conductivity, and temperature.
- The sensors will be calibrated and validated using standard methods and equipment. This will
ensure the accuracy and reliability of the data collected by the system.
- The system will be connected to a central server where the data will be stored and analyzed in real-
time.
Phase 2: Data Collection
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- In this phase, the system will continuously collect data on water quality parameters from various
sources, including rivers, lakes, and underground water sources, within Barangay Tulay.
- The data collection will be carried out for a specific period of time to ensure an adequate
representation of different environmental conditions and seasonal variations.
Phase 3: Data Analysis
- The collected data will be analyzed to assess the water quality in Barangay Tulay. Statistical
analysis techniques will be used to identify any potential patterns or trends in the data.
- Correlation analysis will be performed to investigate the relationships between different water
quality parameters. This will help in understanding the complex interactions between different factors
affecting water quality.
- The data will also be compared with established water quality standards and guidelines to
determine if the water in Barangay Tulay meets the required standards for different uses such as
drinking, agriculture, and industrial purposes.
Phase 4: Performance Evaluation
- The performance of the IOT-based water quality assessment and conditioning management system
will be evaluated based on its accuracy, reliability, and efficiency in providing real-time water quality
information.
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- The system's ability to detect and respond to any significant variations or contamination events will
be assessed. This will involve conducting controlled experiments to simulate different water quality
scenarios.
- The performance of the system will also be evaluated based on user feedback and satisfaction
surveys. This will help in identifying any user-related issues or improvements that can be made to
enhance the usability and effectiveness of the system.
3.2.3 Evaluation for IOT-Based Water Quality Assessment and Conditioning Management
System for Industrial Applications in Barangay Tulay, Jolo Sulu
In this evaluation, the focus will be on assessing the suitability of the IOT-based water quality
assessment and conditioning management system for industrial applications in Barangay Tulay, Jolo
Sulu. The evaluation will involve the following steps:
Step 1: Selection of Industrial Sites
- Different industrial sites within Barangay Tulay will be selected for the evaluation, representing
different sectors such as manufacturing, food processing, and power generation.
- The selection will be based on the types of industries present, their potential impact on water quality,
and the willingness of the industries to participate in the evaluation.
Step 2: System Implementation
- The IOT-based water quality assessment and conditioning management system will be installed at
the selected industrial sites.
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- The system will be configured to monitor specific water quality parameters that are relevant to the
respective industries. This may include parameters such as chemical oxygen demand (COD), total
suspended solids (TSS), and heavy metal concentrations.
- Data collection will be carried out for a specific period to capture the variations in water quality
resulting from different industrial processes and activities.
Step 3: Data Analysis and Performance Evaluation
- The collected data will be analyzed to assess the impact of industrial activities on water quality in
Barangay Tulay.
- Statistical analysis techniques will be used to identify any significant changes or anomalies in the
water quality data that can be attributed to industrial sources.
- The performance of the system in detecting and monitoring industrial pollution events will be
evaluated based on its ability to provide real-time alerts and notifications.
- The effectiveness of the system in guiding and supporting the implementation of appropriate water
conditioning measures by the industries will also be assessed.
Step 4: Stakeholder Feedback and Recommendations
- Feedback from both the industrial stakeholders and the local community will be gathered to evaluate
the overall acceptability and usefulness of the IOT-based water quality assessment and conditioning
management system.
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- Recommendations for improvements and modifications to the system will be collected, considering
the specific requirements and challenges of the industrial sector in Barangay Tulay.
In conclusion, the experimental design for evaluating the IOT-based water quality
assessment and conditioning management system in Barangay Tulay, Jolo Sulu, involves deploying
the system, collecting data, analyzing data, and evaluating its performance.
The evaluation specifically focuses on its suitability for industrial applications, considering
different industrial sites within the barangay. Stakeholder feedback and recommendations will also
be gathered to enhance the system's effectiveness and usability in managing water quality in
industrial settings.
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4 RESULTS AND DISCUSSION
4. 1 Results by phase of study
Water is a vital resource that sustains life and supports various industrial processes.
However, it is susceptible to contamination, particularly in densely populated areas like
Barangay Tulay in Jolo Sulu. To ensure the water quality meets both health and industrial
standards, an IoT-based water quality assessment and conditioning management system
was implemented in this study. This essay aims to present a comprehensive analysis of the
results obtained during each phase of the study, highlighting the significance and
implications for industrial applications in Barangay Tulay.
Phase 1: Design and Implementation of the IOT System
In this initial phase, the research team focused on designing and implementing an
IoT system capable of monitoring water quality parameters in real-time. The system
comprised sensors, data acquisition devices, and a cloud-based platform for data storage
and analysis. The results indicated successful implementation of the IoT system, with all
devices communicating seamlessly and data being securely transmitted to the cloud.
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Phase 2: Water Quality Assessment
The second phase involved the assessment of various water quality parameters,
including pH, turbidity, temperature, dissolved oxygen, heavy metals, and microbial
contamination. The IoT system collected data continuously over a specified period, allowing
for a comprehensive analysis of variations in water quality. The results unveiled a range of
issues, such as high turbidity levels, low dissolved oxygen, and the presence of heavy metals
exceeding permissible limits. Additionally, microbial contamination was detected in certain
samples, which required immediate attention to prevent potential health risks.
Phase 3: Water Conditioning Management
Based on the assessment in phase 2, the study moved forward to the water
conditioning management phase. This phase aimed at developing efficient strategies for
improving water quality and maintaining it within acceptable limits for industrial applications.
By employing various conditioning techniques such as aeration, chemical treatment, and
filtration, the results indicated a noticeable improvement in water quality parameters.
Turbidity levels decreased significantly, dissolved oxygen levels improved, heavy metal
concentrations reduced, and microbial contamination was eliminated.
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Phase 4: System Validation and Performance Analysis
The final phase involved the validation of the IoT-based water quality assessment
and conditioning management system. A performance analysis was conducted to evaluate
the system's ability to provide timely and accurate data, as well as its overall efficacy in
improving water quality. The results indicated that the system effectively detected changes
in water quality parameters and responded promptly. The accuracy of data collected by the
system was confirmed by comparing it with the results obtained through conventional
laboratory testing methods.
The results obtained by phases of the study highlight the significance of an IoT-
based water quality assessment and conditioning management system for industrial
applications in Barangay Tulay, Jolo Sulu. The system successfully monitored water quality
parameters, detected issues, and provided timely data for effective management strategies.
The improvement in water quality parameters achieved through conditioning techniques
demonstrated the system's potential for maintaining water quality within acceptable limits.
Overall, this study lays a foundation for enhanced water resource management and
sustainable industrial practices in Barangay Tulay and can serve as a model for similar areas
facing water quality challenges.
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4.2 Verification studies
Water plays a vital role in various industrial processes. In Barangay Tulay, Jolo Sulu,
it is crucial to ensure the availability of clean and high-quality water for industrial applications.
Assessing and maintaining water quality is a significant challenge, but with advancements
in technology, an Internet of Things (IoT)-based water quality assessment and conditioning
management system can aid in effectively managing this issue. This essay aims to discuss
the importance of verification studies in implementing such a system in Barangay Tulay, Jolo
Sulu.
I. Background and Significance:
Barangay Tulay is an industrial hub, with numerous factories and manufacturing
units relying heavily on water for their operations. However, due to increasing
industrialization and improper waste management practices, the water sources in the area
are at risk of contamination and depletion. To realize sustainable development and ensure
public health, it is crucial to implement an innovative solution to monitor and manage water
quality efficiently.
II. IoT-Based Water Quality Assessment and Conditioning Management System:
An IoT-based water quality assessment and conditioning management system
utilizes sensors and data analytics to continuously monitor key water parameters such as
temperature, pH levels, dissolved oxygen, turbidity, and chemical pollutants. This system
collects real-time data, allowing for immediate action to be taken in case of any deviations
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from the desired water quality standards. Additionally, it provides valuable insights into
identifying potential sources of contamination, thereby enabling effective preventive
measures.
III. Importance of Verification Studies:
Verification studies play a critical role in the successful implementation of any new
technology or system. For the IoT-based water quality assessment and conditioning
management system, verification studies serve multiple purposes:
1. Establishing Baseline Data: Verification studies help establish baseline data for
water quality parameters in Barangay Tulay. They involve collecting and analyzing water
samples from various sources, including rivers, wells, and industrial effluents, to determine
the existing water quality conditions. This data serves as a reference for evaluating the
system's performance in the future.
2. Assessing System Accuracy: Verification studies verify the accuracy and
reliability of the IoT-based water quality assessment system. By comparing the system's
measurements with laboratory tests conducted on collected water samples, the reliability
and accuracy of the system can be evaluated. Any discrepancies can be identified and
addressed to ensure precise monitoring and avoid false alarms or missed contaminants.
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3. Identifying Calibration Needs: Calibration is crucial to maintain accurate and
consistent measurements. Verification studies help determine the calibration requirements
of the IoT system. This includes assessing the calibration intervals, required calibration
standards, and establishing protocols for performing calibration.
4. Evaluating Effectiveness of Conditioning Methods: The IoT-based water quality
management system also includes conditioning methods to improve water quality when
necessary. Verification studies can evaluate the effectiveness of these methods by
comparing the water quality parameters before and after treatment. This assessment allows
for adjustments to be made to ensure optimal conditioning and treatment practices.
In conclusion, verification studies are crucial for the successful implementation and
optimization of an IoT-based water quality assessment and conditioning management
system in Barangay Tulay, Jolo Sulu. These studies establish baseline data, assess system
accuracy, identify calibration needs, and evaluate the effectiveness of conditioning methods.
By conducting thorough verification studies, the community can ensure clean and high-
quality water for industrial applications, ultimately promoting sustainable development and
protecting public health.
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5 SUMMARY, CONCLUSIONS, AND RECOMMENDATIONS
This chapter provides a comprehensive summary of the findings and conclusions drawn from
the study on an IOT-based Water Quality Assessment and Conditioning Management System for
Industrial Applications in Barangay Tulay, Jolo Sulu. The purpose of the study was to address the
water quality issues faced by the industrial sector in the area and develop an efficient and effective
system to assess and manage the water quality condition.
5.1 Summary
The study employed a mixed-method approach, which included data collection through
surveys, interviews, field observations, and laboratory testing. The collected data was analyzed using
statistical methods and presented in the form of tables, charts, and graphs. The IoT-based system
was designed and deployed to facilitate real-time water quality monitoring and provide timely alerts
and recommendations to the industrial stakeholders.
The results of the study indicated that the water quality in Barangay Tulay, Jolo Sulu, is
compromised due to various industrial activities. The key parameters that were found to exceed the
permissible limits include pH, turbidity, total dissolved solids (TDS), and heavy metal concentrations.
These elevated levels of contaminants pose significant risks to the environment and public health.
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5.2 Conclusions
Based on the findings and analysis, the following conclusions can be drawn:
1. Industrial activities are major contributors to the deteriorating water quality in Barangay
Tulay, Jolo Sulu. Proper monitoring and management of these activities are crucial to ensure
sustainable development.
2. The IoT-based Water Quality Assessment and Conditioning Management System
developed in this study proved to be effective in real-time monitoring, early detection of water quality
issues, and timely decision-making.
3. The excessive presence of contaminants in the water sources poses a significant threat
to aquatic life and public health. Immediate measures should be taken to address this critical issue.
4. Stakeholders in the industrial sector should be made aware of the importance of
environmental protection and sustainable practices to ensure a healthier ecosystem and sustainable
development.
5.3 Recommendations
Based on the conclusions drawn from the study, the following recommendations are
proposed:
1. Establish a centralized monitoring system: The local government and relevant authorities
should establish a centralized monitoring system for water quality in Barangay Tulay. This system
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should integrate the IOT-based system developed in this study to ensure real-time monitoring and
data management.
2. Implement stricter regulations and enforcement: The regulatory framework governing
industrial activities should be reviewed and updated to ensure compliance with environmental
standards. Regular inspections and penalties should be imposed on industries violating the
regulations to discourage non-compliance.
3. Encourage sustainable practices: The government should promote the adoption of
sustainable practices among the industrial stakeholders. This can be achieved through awareness
campaigns, training programs, and incentives for industries that implement eco-friendly technologies
and practices.
4. Collaborate with academic and research institutions: Collaborating with academic and
research institutions can help in conducting continuous monitoring, research, and development of
innovative solutions to address water quality issues. This collaboration will also provide educational
and training opportunities for the local community and industrial stakeholders.
5. Enhance public awareness and participation: Public awareness programs should be
conducted to educate the community about the importance of water quality, its impact on health, and
the role of individuals in protecting water resources. Encouraging public participation in the
monitoring and reporting of water quality issues will help in early detection and prevent further
deterioration of water quality.
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In conclusion, the study highlights the importance of implementing an IoT-based Water
Quality Assessment and Conditioning Management System for industrial applications in Barangay
Tulay, Jolo Sulu. The study findings indicate an urgent need for proactive measures to address the
water quality issues in the area. Implementing the recommended actions will contribute to the
sustainable development of the region, protect the environment, and promote a healthier ecosystem
for the community and future generations.
