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基于物联网的工业废水水质评估系统——医疗视角。

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

机构信息

Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh.

Department of Computer Engineering, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia.

出版信息

J Healthc Eng. 2022 Apr 13;2022:3769965. doi: 10.1155/2022/3769965. eCollection 2022.

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.

摘要

由于工业化和城市化,环境(尤其是水)受到了污染。工业化和城市化造成的污染对环境和地球上的生命都有有害影响。这种污染水会导致食物中毒、腹泻、短期胃肠道问题、呼吸道疾病、皮肤问题以及其他严重的健康并发症。在孟加拉国这样的发展中国家,成衣制造业是国内生产总值(GDP)的主要来源之一,成衣工厂排放的大部分废物都被倾倒到最近的河流或运河中。因此,这些水体的水质变得非常不适合生物生存,这成为了环境和人类健康的主要威胁之一。此外,由于水污染,孟加拉国河流和运河中的鱼类数量日益减少。因此,为了拯救鱼类和其他水生物以及环境,我们需要监测水质并找出污染的原因。实时监测水质对于控制水污染至关重要。大多数水污染控制方法主要是基于生物学和实验室的,这需要大量的时间和资源。为了解决这个问题,我们开发了一个基于物联网(IoT)的实时水质监测系统,并集成了一个移动应用程序。本研究提出的系统测量了一些最重要的水质指标,包括水的氢离子浓度(pH 值)、总溶解固体(TDS)、浊度和水温。该系统的结果将非常有助于拯救环境,从而改善地球上生物的健康。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e10/9020914/5947553dff42/JHE2022-3769965.001.jpg

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