Real Time Internet of Things (IoT) Based Water Quality Management System

AlMetwally, Saif Allah H.; Hassan, Mohamed K.; Mourad, Mohamed

doi:10.1016/j.procir.2020.03.107

Cited by 64 publications

(32 citation statements)

References 15 publications

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“…This way of educating students about agriculture or ecology would have certain disadvantages. The very fact that it is a virtual space where engineers in these areas will not have direct contact with the environment in which the system is applied, which is crucial for them because, in the natural environment, there are factors that can compromise the system, as opposed to a system created in a virtual environment where not all factors can be predicted [29][30][31]. This problem can be partially solved by software using simulations, i.e., software-induced certain reaction defects, signal delays due to interference caused by a voltage drop, or problems with the internet connection.…”

Section: Literature Reviewmentioning

confidence: 99%

A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm

et al. 2021

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The primary purpose of this paper is to present a system intended for student education based on a microcontroller platform and a cloud system where data will be stored. Obtained research results will be based on the application of The NodeMcu platform for data collection with sensor systems. MatLab, ThingSpeak cloud system, and the Virtuino platform will be used for data presentation. Quantitative data are applied to determine conditions for agriculture system performance management. By analyzing the literature and the current situation in monitoring and managing in the agriculture and ecology field, it can be concluded that there are no special education courses regarding these issues. This knowledge was a good starting point for the research presented in this paper. Accordingly, the findings include developing a monitoring and management system intended for student education in mentioned fields. In addition, the practical implications of this research includes the acquisition of information related to student satisfaction with this method of education in the courses of engineering, agriculture, and ecology. The presented system may enable benchmarking, simulation, and verification of different scenarios to improve students’ knowledge regarding sensors’ application in natural conditions. The originality of the research lies in the presented software solution that can be made available to educational institutions and other scientific institutions to serve as a basis in the overall monitoring and management of agricultural and ecology parameters.

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Section: Literature Reviewmentioning

confidence: 99%

A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm

et al. 2021

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“…Mariana Jacob Rodrigues et al (2020) stated that intelligent sensor technology includes the following: working on the body i.e., eye, sound, movement, brain, signals i.e., thermal, electricity; and measurement i.e., motion, light, vibration, noise, air, moisture, density, pressure, acceleration, speed, distance (Rodrigues et al, 2020). Saif Allah H. AlMetwally et al (2020) states that intelligent sensor technology involves the following: working on the body i.e., eye, sound, touch; signals i.e., chemical, electricity; measurement i.e., light, temperature, heat, air, volume, weight; and function i.e., smart home, smart city, smart factory (Almetwally et al, 2020). Zhong and Li (2020) state that intelligent sensor technology is as follows: Working on the body i.e., movement, brain; signals i.e., mechanical, thermal, electricity; measurement i.e., motion, temperature, heat, electrocardiogram, frequency, volume, weight, pressure, acceleration, speed, direction, GPS, distance, ratio; and function i.e., wearables, smart home, smart city (Zhong & Li, 2020).…”

Section: The Results Of the Synthesis Of Technological Support For The Sensorization Of Thingsmentioning

confidence: 99%

“…Caitlin D. Cottrill et al (2020) state that intelligent sensor technology involves the following: sensor device i.e., fixed, wearable, mobile, sensor node, smart intelligent; object i.e., personal, organizer, material; technology i.e., internet, sensor, IoT, real-time, software; network and connections i.e., wireless, wire, analog/digital, data and attributes i.e., medical health information, physiology, ligh; and functions i.e., remote tracking, collecting data (Cottrill et al, 2020). Saif Allah H. AlMetwally et al (2020) indicate that an intelligent sensor technology ecosystem is as follows: sensor devices i.e., fixed, wearable, mobile, sensor node, smart intelligent; objects i.e., human; technology i.e., internet, sensor, IoT, software; networks and connections i.e., wireless, communication; Data and attributes i.e., medical health information, physiology, temperature, light, and functions i.e., collect data, control, decisions, receive and send data, processing, compile and analyze data (Almetwally et al, 2020). Jiang (2020) believes that an intelligent sensor technology ecosystem is as follows: sensor device i.e., fixed, wearable, mobile, sensor node, smart intelligent; object i.e., human; technology i.e., internet, sensor, IoT, real-time, software; networks and connections i.e., wireless, wire, communication; data and attributes i.e., medical health information; and functions i.e., collect data, receive and send data, processing, compile and analyze data (Jiang, 2020).…”

Section: The Results Of the Synthesis Of The Sensorization Of Things Ecosystemmentioning

confidence: 99%

Sensorization of Things Intelligent Technology for Sport Science to Develop an Athlete’s Physical Potential

Sattaburuth¹,

Wannapiroon²

2021

HES

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Sports can build both strength and be fun at the same time. When it comes to a professional athlete's victory, the winner will enhance his reputation and can earn a great deal of money. The problem that athletes frequently encounter is traumas, which can happen in games or during training. Today, the technology is very advanced and modernized. Innovations and perceptual devices can be created to monitor, measure, analyze and evaluate data from the information received from the introduction of an intelligent system of evaluation and prediction in terms of safety and risk prevention with regard to athletes, by collecting heart rate data, blood oxygen measurement, air density around the athletes’ body, body temperature and a temperature in the sports training room. This is the point of view and vision of a sports industry leaders, who perceive the opportunity and advantage associated with the competition and training of both amateur and professional athletes, to develop the athlete’s physical potential to achieve international excellence. The study of intelligent sensor technology that is used to support devices that work on the guidelines of Internet of Things (IoT) leading to the development of real time data collecting applications. These are used to process or interpret physiological knowledge for an analysis of results and for the prediction of incoming results. It was found that using intelligent sensing technology which are two main groups of detection and measurement: First, human body function sensing and second, measurement to environment around the body or object, and explained to detail in this article.

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“…Another step forward should be establishing an open-access metadata platform and advancing data accessibility for general end-users. The unified open-source metadata scheme constructed by the LTCM data library can develop new generation coproduction applications (e.g., real-time DW quality mobile apps 284 ) that address the critical data management need for broad communities. In the meantime, feedback of LTCM implementations can be promptly collected by sharing a vast amount of water quality data sets, which will in turn accelerate the development of LTCM technologies.…”

Section: Conclusion Future Opportunities and Outlook Of Ltcmmentioning

confidence: 99%

Forward-Looking Roadmaps for Long-Term Continuous Water Quality Monitoring: Bottlenecks, Innovations, and Prospects in a Critical Review

Huang

Wang

Xiang

et al. 2022

Environ. Sci. Technol.

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Long-term continuous monitoring (LTCM) of water quality can bring far-reaching influences on water ecosystems by providing spatiotemporal data sets of diverse parameters and enabling operation of water and wastewater treatment processes in an energy-saving and cost-effective manner. However, current water monitoring technologies are deficient for long-term accuracy in data collection and processing capability. Inadequate LTCM data impedes water quality assessment and hinders the stakeholders and decision makers from foreseeing emerging problems and executing efficient control methodologies. To tackle this challenge, this review provides a forward-looking roadmap highlighting vital innovations toward LTCM, and elaborates on the impacts of LTCM through a three-hierarchy perspective: data, parameters, and systems. First, we demonstrate the critical needs and challenges of LTCM in natural resource water, drinking water, and wastewater systems, and differentiate LTCM from existing short-term and discrete monitoring techniques. We then elucidate three steps to achieve LTCM in water systems, consisting of data acquisition (water sensors), data processing (machine learning algorithms), and data application (with modeling and process control as two examples). Finally, we explore future opportunities of LTCM in four key domains, water, energy, sensing, and data, and underscore strategies to transfer scientific discoveries to general end-users.

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Real Time Internet of Things (IoT) Based Water Quality Management System

Cited by 64 publications

References 15 publications

A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm

A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm

Sensorization of Things Intelligent Technology for Sport Science to Develop an Athlete’s Physical Potential

Forward-Looking Roadmaps for Long-Term Continuous Water Quality Monitoring: Bottlenecks, Innovations, and Prospects in a Critical Review

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