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http://repository.aaup.edu/jspui/handle/123456789/2651
Title: | TOWARDS A SUSTAINABLE AND SAFE WATER SECTOR: EXPLOITING INTERNET OF THINGS FOR BUILDING A SMART WATER MANAGEMENT SYSTEM رسالة ماجستير |
Authors: | Zidan, Nael A. M.$AAUP$Palestinian |
Keywords: | smart system,arlificial intelligence,fuzzy techniques |
Issue Date: | 2021 |
Publisher: | AAUP |
Abstract: | The MENA region in general and Palestine, in particular, suffer from water problems of various forms at different levels. Among these are the depleting of water resources, water losses, water pollution, irregular water distribution, and limitations associated with collecting water revenues. These problems have a direct impact on the infrastructure of the water management and threaten water sustainability. These problems have become a pressing issue for decision-makers and water supply stakeholders to keep looking for innovative solutions that enable them to manage better and face existing challenges. The need for controlling, monitoring, and alerting water supply automation, especially water chlorination, has continued to form a danger that affects human life. The proposed solutions aim to keep water quantity and quality, control and automate and alert water chlorination, regulate the water distribution, improve service delivery, legitimate water consumption, decrease water loss, and detect untraceable non-revenue water. To realize the goals of the proposed water management solutions, researchers in the field and water supply stakeholders continue looking to incorporate and exploit new sources of information, tools, and equipment . The exploitation of such resources assists in optimizing water management systems, improving their functionality and control. For instance, they can be used to describe and analyze a situation, make decisions based on the available data in a predictive or adaptive manner, and take smart actions accordingly. To effectively and efficiently realize that, smart water management systems need data to be readily available to make adaptive decisions that best suit the underlying conditions. Such data must be collected from many water clients (a.k.a. devices) such as pumping stations, pipes, tanks, and water meters. The v size of the down-streamed and up-streamed data from such water clients can be enormous (Big Data). Additionally, water clients' propagation in a communicating-actuating network creates an Internet of Things (IoT) in the water sector. Accordingly, by using enabling device technologies such as Radio-frequency Identification (RFID) tags and readers, Near Field Communication (NFC), embedded and wireless sensors and actuators, we can collect the needed data, control, and monitor water clients, to be better employed and utilized in a smart water management system . This research aims to exploit the Internet of Things (IoT) in the water sector and realize the newly introduced Big Water Data concept throughout the water supply infrastructure in Palestine region. We propose a smart water management system prototype that attempts to collect water data from water clients, process and analyze the data, highlight the issues in the water management infrastructure (such as areas that suffer from water losses and the reasons for the loss), and adaptively recommend action items to be carried out by the water supply stakeholders. Besides, the system will help monitor, control, and alert the water supply chlorination process on a real-time basis. We simulate and test the effectiveness of the proposed system. Furthermore, we experimentally validate the proposed system's quality using real-world data, scenarios, and settings. |
Description: | Master`s degree in Computer Science |
URI: | http://repository.aaup.edu/jspui/handle/123456789/2651 |
Appears in Collections: | Master Theses and Ph.D. Dissertations |
Files in This Item:
File | Description | Size | Format | |
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نائل زيدان.pdf | 2.19 MB | Adobe PDF | View/Open |
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