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خانه مقالات-Article مقالات کامپیوتر-Computer Articles داده های عظیم-Big data Towards Sustainable Water Supply: Schematic Development of Big Data Collection Using Internet of Things (IoT)
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Towards Sustainable Water Supply: Schematic Development of Big Data Collection Using Internet of Things (IoT)

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Water supply systems in the United States connect raw water sources to hundreds of millions of water consumers through humongous infrastructure that include approximately one million miles of buried water mains and service connections and thousands of treatment facilities and appurtenances

توضیحات محصول

ABSTRACT
Water supply systems in the United States connect raw water sources to hundreds of millions of water consumers through humongous infrastructure that include approximately one million miles of buried water mains and service connections and thousands of treatment facilities and appurtenances. This enormous set-up is currently operated by more than 170,000 public water systems. Sustainability of the water supply system faces several imminent challenges such as: 1) increasing water main breaks, 2) decreasing fresh water resources, 3) untraceable non-revenue water use, and 4) increasing water demands. However, current water supply management practices are not capable of providing fundamental solutions to the issues identified above. Big Data is a new technical concept to collect massive amounts of relevant data from sensors installed to monitor structural condition, usage, and system performance. This Big Data concept can be realized by deploying Internet of Things (IoT) technology throughout the water supply infrastructure and consumers’ usage. This paper presents a schematic development of IoT application for Big Data collection through a myriad of water clients. The scheme consists of downstream and upstream data collection using Wireless Sensor Network (WSN) technologies connecting to IoT. Downstream data shall provide water usage and performance data to clients and upstream data is similar to traditional SCADA and Automated Meter Reading (AMR) systems. Ultimately, all data will be converged to build a Big Data collection system where data mining identifies 1) local and system performances including pressure and flow, 2) non-revenue and illegitimate water consumption, and 3) locations and quantity of water breaks and water losses. The goal of this development is to enable both utilities and consumers to proactively manage their water usage and achieve higher levels of sustainability in water supply

INTRODUCTION
Water distribution infrastructure is crucial to economic, political and societal prosperity along with basic survival of
the human race. Major challenges that threaten water supply are the depleting freshwater resources in several
regions of the US and the deteriorating supply infrastructure. There is an increasing awareness among the water
supply stakeholders regarding the imminent water scarcity issue. While we strive to make our water resources
sustainable, existing water infrastructure systems are in need of huge capital investment to tackle aging and the
resulting deterioration issues. Focusing on water supply systems, the industry has been challenged with devising a
functional database, which can be used to justify the development of efficient asset management tools that control
further deterioration of infrastructure and lead to future water sustainability by saving billions of gallons of water
that is currently lost in the leaky distribution systems.

Year :2015

Publisher : ELSEVIER

By : Dan Koo , Kalyan Piratla , John Matthews C

File Information :English Language /9 Page /Size : 833 K

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سال : 2015

ناشر :ELSEVIER

کاری از : Dan Koo , Kalyan Piratla , John Matthews C

اطلاعات فایل :زبان انگلیسی /9 صفحه /حجم :833 K

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