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. 2022 Apr 13:2022:3769965.
doi: 10.1155/2022/3769965. eCollection 2022.

IoT-Based Water Quality Assessment System for Industrial Waste WaterHealthcare Perspective

Abdur Rab Dhruba  1 , Kazi Nabiul Alam  1 , Md Shakib Khan  1 , Sananda Saha  1 , Mohammad Monirujjaman Khan  1 , Mohammed Baz  2 , Mehedi Masud  3 , Mohammed A AlZain  4
Affiliations

IoT-Based Water Quality Assessment System for Industrial Waste WaterHealthcare Perspective

Abdur Rab Dhruba et al. J Healthc Eng. .

Retraction in

Abstract

The environment, especially water, gets polluted due to industrialization and urbanization. Pollution due to industrialization and urbanization has harmful effects on both the environment and the lives on Earth. This polluted water can cause food poisoning, diarrhea, short-term gastrointestinal problems, respiratory diseases, skin problems, and other serious health complications. In a developing country like Bangladesh, where ready-made garments sector is one of the major sources of the total Gross Domestic Product (GDP), most of the wastes released from the garment factories are dumped into the nearest rivers or canals. Hence, the quality of the water of these bodies become very incompatible for the living beings, and so, it has become one of the major threats to the environment and human health. In addition, the amount of fish in the rivers and canals in Bangladesh is decreasing day by day as a result of water pollution. Therefore, to save fish and other water animals and the environment, we need to monitor the quality of the water and find out the reasons for the pollution. Real-time monitoring of the quality of water is vital for controlling water pollution. Most of the approaches for controlling water pollution are mainly biological and lab-based, which takes a lot of time and resources. To address this issue, we developed an Internet of Things (IoT)-based real-time water quality monitoring system, integrated with a mobile application. The proposed system in this research measures some of the most important indexes of water, including the potential of hydrogen (pH), total dissolved solids (TDS), and turbidity, and temperature of water. The proposed system results will be very helpful in saving the environment, and thus, improving the health of living creatures on Earth.

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Conflict of interest statement

The authors declare that they have no conflicts of interest to report regarding the present study.

Figures

Figure 1
Figure 1
Block diagram of the entire system.
Figure 2
Figure 2
Arduino UNO pin-out [24].
Figure 3
Figure 3
The pH value of different kinds of solution [25].
Figure 4
Figure 4
Gravity pH sensor.
Figure 5
Figure 5
pH sensor pin out [26].
Figure 6
Figure 6
TDS value for different kinds of water [28].
Figure 7
Figure 7
TDS sensor.
Figure 8
Figure 8
Water turbidity sensor module.
Figure 9
Figure 9
LM-35 Waterproof temperature sensor.
Figure 10
Figure 10
Layout of our App using MIT app inventor.
Figure 11
Figure 11
Bluetooth module.
Figure 12
Figure 12
Flow-chart of the Arduino program.
Figure 13
Figure 13
Prototype of the system.
Figure 14
Figure 14
Mobile App showing real-time data.
Figure 15
Figure 15
Line chart of temperature values for different wastewater samples from different sites.
Figure 16
Figure 16
Line chart of pH values for different waste water samples.
Figure 17
Figure 17
Line chart of turbidity values for wastewater samples collected from different sites.
Figure 18
Figure 18
Line chart of TDS values for different takes.
See this image and copyright information in PMC

References

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