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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ghosh, Animikh Das, Divya Vuppala, Sunil K. Patil, Ketan |
| Abstract | Water is an essential resource for human life. Enterprises consume large amount of water and it is crucial for successful business operation. There is a constant drive to conserve water and improve water efficiency. Wireless sensor network (WSN) based water monitoring application acts as a decision support system and plays critical role in enterprises. Our proposed Integrated Water Consumption Monitoring Solution for enterprises (IWCMSE) is used to identify inefficiency in water usage and take better decisions to cut down on water wastage. The IWCMSE architecture, novel LP formulation to maximize recycled water usage and stochastic prediction model to forecast the water usage at a building level in an enterprise are described in the paper. We showcased three case studies based on real time data collection across our enterprise and the results show savings of up to 30% of water usage is achievable. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450329088 |
| DOI | 10.1145/2660859.2660915 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-10-10 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Recycled water Wireless sensor networks Zigbee Sustainability Water usage trend Wireless water meter Water monitoring |
| Content Type | Text |
| Resource Type | Article |
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