IoT based water management
23 Mar 2017-pp 255-259
TL;DR: In this article, the authors focus on monitoring of use of water by one block of house in a flat system, where at the partition of pipeline from where the water gets diverted to various part of a block, sensors will sense the flow of water to each pipe which ultimately tells the usage of water at one block ideally.
Abstract: Objectives: This project focuses on monitoring of use of water, consider, by one block of house in a flat system, where at the partition of pipeline from where the water gets diverted to various part of a block. Methods/Statistical analysis: Water places a vital role for living beings in their day to day lives. The earth's 71% is covered by water is a ubiquitous fact. Among which Oceans has approximately 96.50% and 3% is considered to be freshwater, again out of which only 0.08% is accessible direct to human use and rest is preserved in tundra regions and in different form on and in the earth surface which is very difficult to abstract for the human purposes. From this it states that only 0.08% is available as fresh water for human being to make use for drinking, domestic purposes, sanitation, manufacturing, leisure, agriculture etc which gets recharged by rain and snowfall 1. Findings: According to scientists and organizations as IPCC (Intergovernmental Panel on Climate Change), state has come, since a long time, where water management as such implies to maximizing use of water and minimizing the wastage of water and thus preventing the domino effect cycle arises as wastage of water. The sensors will sense the flow of water to each pipe which ultimately tells the usage of water at one block ideally. This water usage data would be sent to cloud using the IOT (Internet of things) space. This cloud data would be sent to the concern resident's person's mobile app (application) reporting the water used and alerting the user to limit the water use if it gets extended to the limit usage set by municipal government or corporation. If the limit gets extended the user have to pay accordingly. This will be real time operation. The objective of doing so is for limiting and minimizing the usage of water for an average of per person. And secondly, the cloud data will be used as statistic data for use of water at every seasons that is winter, summer and monsoon so that measuring steps for water management can be taken with the appropriate statistics, yielding an avenue for predictive measure. Improvements/Applications: To appraise the IOT based water management, it can be ramified as diligent, frugal for water management in a symbiotic parity way, which will constrict the water resource evenly according to the in situ factors.
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20 Apr 2018
TL;DR: The motive is to help the readers understand the importance of using water judiciously and equipping them with the knowledge of the functioning of water management system which is done by using Internet of Things (IoT).
Abstract: In the era of IoT, automation is one of the essential attribute. This increases comfort and convenience in the lives of people. We would like to provide this in the domain of water management. Our motive is to help the readers understand the importance of using water judiciously and equipping them with the knowledge of the functioning of water management system which is done by using Internet of Things (IoT). We also discuss about how this project is the future of sustainable management of water in residences.
28 citations
Cites methods from "IoT based water management"
...The system proposed by Rajurkar et al in [5] focuses on monitoring of water considering a flat system....
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03 Dec 2020
TL;DR: A proposal for a system based on a wireless sensor network designed to monitor water distribution systems, such as irrigation systems, which, with the help of an autonomous learning algorithm, allows for precise location of water leaks.
Abstract: Water is a crucial natural resource, and it is widely mishandled, with an estimated one third of world water utilities having loss of water of around 40% due to leakage. This paper presents a proposal for a system based on a wireless sensor network designed to monitor water distribution systems, such as irrigation systems, which, with the help of an autonomous learning algorithm, allows for precise location of water leaks. The complete system architecture is detailed, including hardware, communication, and data analysis. A study to discover the best machine learning algorithm between random forest, decision trees, neural networks, and Support Vector Machine (SVM) to fit leak detection is presented, including the methodology, training, and validation as well as the obtained results. Finally, the developed system is validated in a real-case implementation that shows that it is able to detect leaks with a 75% accuracy.
19 citations
01 Mar 2019
TL;DR: The main aim of the proposed system is to showcase the functionalities and uses of different sensors and modules used in an IOT based system with the application of Wireless Sensor Network (WSN).
Abstract: Water is one of the important needs for a human being. Life on Earth is possible due to the presence of water on its surface. Even though 71% of Earth's surface is covered with water, the availability of water in certain areas is very less. So, the people in these areas must reserve water for ensuring a steady availability. These problems can be rectified with the help of Internet of Things (IOT). IOT is a global infrastructure with certain standards and communication protocols by which virtual and physical things can interact and exchange data by connecting to each other. In this paper, we propose a system for monitoring the availability of water, based on the water level in the storage system. Water level is measured with the help of a waterproof ultrasonic sensor and when the level reaches a threshold value, a notification is sent to the user or to the vendor to take the necessary action. The live feed data is sent to a relational database for storing and analyzing the data to predict when the water will run out, and to make sure that the water storage system gets refilled before that point of time. After processing the raw data from the sensors, the system can generate a fusion chart that can show or indicate the amount of water inside each storage system. With this, the user can have an idea of how much water is left in each of the storage system. The main aim of the proposed system is to showcase the functionalities and uses of different sensors and modules used in an IOT based system with the application of Wireless Sensor Network (WSN). In this present scenario, the world is filled with data both relevant and irrelevant, wherein the data for predicting a water crisis is less. So, through the proposed system we are generating a dataset for the prediction of a water crisis in an organization or a community.
12 citations
Cites background from "IoT based water management"
...With this the user will be warned in advance about an upcoming water crisis when the water recedes to the minimum requirement [12,14]....
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TL;DR: Results revealed that the smart management of energy, wastes, water resources, agricultures, risk factors, and the economy adopted in Singapore can remarkably contribute to reducing climate change, thus attaining the sustainability goals.
Abstract: Climate change is one of the most challenging problems that humanity has ever faced. With the rapid development in technology, a key feature of 5G networks is the increased level of connectivity between everyday objects, facilitated by faster internet speeds with smart facilities indicative of the forthcoming 5G-driven revolution in Internet of Things (IoT). This study revisited the benefits of 5G network technologies to enhance the efficiency of the smart city and minimize climate change impacts in Singapore, thus creating a clean environment for healthy living. Results revealed that the smart management of energy, wastes, water resources, agricultures, risk factors, and the economy adopted in Singapore can remarkably contribute to reducing climate change, thus attaining the sustainability goals. Hence, future studies on cost-effective design and implementation are essential to increase the focus on the smart city concept globally.
10 citations
01 Oct 2019
TL;DR: A water distribution management system that is smart and adaptive to citizen demands, and it is also able to control the consumption by providing the optimum amount of water in order to conserve water and sustain the citizen activities as well is presented.
Abstract: Water is the most important resource for life, such that it plays a vital role in our everyday activities. And due to the shortage of water resources, there is an increasing importance of a fair water distribution system among citizens that cope with different activity variations among citizens also it can control water consumption. Moreover, due to the growth of technology and the existence of the internet of things (IoT) and big data analytics in the cloud, there is an increasing need for a system that monitors the citizen consumption and controls the distribution according to an adaptive knowledge base. Therefore, this paper presents a water distribution management system that is smart and adaptive to citizen demands, and it is also able to control the consumption by providing the optimum amount of water in order to conserve water and sustain the citizen activities as well. The design of the system merges the existing IoT infrastructure, big data analytics for collecting and analyzing user demands and cloud computing for storing the data for further processing
10 citations
Cites background from "IoT based water management"
...In [4], the authors presented a system that focuses on monitoring the usage of water per house and this water usage...
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References
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TL;DR: In this article, the authors make an appeal for indigenisation of their mutual explorations and policy formulations, and make the case that continued engagement between China and India remains an imperative for their own survival and for the welfare of their people.
Abstract: Mutual perceptions and policies of an emerging India and a rising China have increasingly become the focus of public debates around the world. The two countries are seen today as ordained to become major pillars of the international system. The future of India-China relations clearly impinges on the future of Asia, if not the whole world. But in addition to bringing a limited visibility, this public glare has only further complicated their already complex web of problems and potential. The fact that both countries still continue to work together to enhance their mutual understanding holds promise for their future. While their historical baggage continues, continued engagement between China and India remains an imperative for their own survival and for the welfare of their people. In the context of the increasing external influences on their interactions, this article makes an appeal for indigenisation of their mutual explorations and policy formulations.
22 citations
TL;DR: In 1998, the European Commission (EC) published Guidelines for Water Resource Development Cooperation entitled "Towards Sustainable Water Resources Management: A Strategic Approach" as discussed by the authors, which was intended for use by decision-makers in government, the private sector, civil society, and international organisations of all kinds involved in water resources management.
Abstract: In 1998, the European Commission (EC) published Guidelines for Water Resource Development Cooperation entitled “Towards Sustainable Water Resources Management: A Strategic Approach”. The Strategic Approach was a major contribution to translating the international consensus on integrated water resources management (IWRM) into development cooperation activities. The approach and guidance were intended for use by decision-makers in government, the private sector, civil society, and international organisations of all kinds involved in water resources management. At the time, the guidance contained in the Strategic Approach was at the forefront of current thinking and provided a practical means of putting IWRM theory into practice. But since its inception new perspectives and priorities have emerged which need to be considered within the Strategic Approach and guidance given. This paper reviews the Strategic Approach against the IWRM trends and needs that have subsequently developed, and identifies how the approach could be amended to respond to these emerging needs.
18 citations
21 Mar 2015
TL;DR: This paper discusses on how SIGMA enables users to manage risks related to water and describes how the whole SIGMA stack works describing the whole process from the moment in which water sensed data are collected from heterogeneous sensor networks and stores them for processing.
Abstract: Nowadays, the research and industrial communities are focusing their efforts on the adoption of Cloud computing for a massive interaction with the physical environment. At the same time the concept of Internet of Things (IoT), in which several embedded systems are interconnected over the Internet, is becoming more and more popular. In this context, the SIGMA project aims to exploit Cloud technologies to collect, integrate, and process heterogeneous pieces of data coming from different wireless sensor networks (e.g., meteorological, seismic, and water observatories) with the purpose to build a distributed risk management system for controlling and monitoring both environmental and industrial risks for people and things. In this paper, we specifically discuss on how SIGMA enables users to manage risks related to water. In particular, we will discuss how the whole SIGMA stack works describing the whole process from the moment in which water sensed data (e.g., turbidity, speed, methane, dissolved oxygen, water level, etc) are collected from heterogeneous sensor networks to the moment in which the Cloud-based system uniforms and stores them for processing.
16 citations