An Integrated Approach to Campus Water Management: Leveraging Wireless Automation and Advanced Virtual Leakage Auditing
Abstract
This research paper presents the design and
implementation of a Campus Wireless Water Management
Automation System (CWWMAS) integrated with existing
plumbing architecture and building patterns. The system
utilizes data from pumping activities, such as those occurring in
hospitals, schools, hotels, and other campus facilities, to detect
potential leaks through the analysis of pumping cycles. By
considering factors such as the timing of water usage and
fluctuations in pumping activity during working hours, the
system employs advanced virtual leakage audit provisions to
identify and mitigate potential leaks in real time. This paper
outlines the architecture, components, and operation of the
CWWMAS, along with its benefits and potential applications in
campus water management.
Keywords:
Wireless Water Management, Automation System, Plumbing Architecture, Building Patterns, Leakage Detection, Virtual Audit
Published
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Sebin Thomas, John VG, Josin Chacko, Mariyam Shajahan, Sharon Sunny, PPT GENERATION FROM REPORT , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Khalid Hareef, Neenu, M N Sulthana , Nesmi Siddique, Number Plate Detection in Fog and Haze , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr.Sinciya P.O , Ameena Ismail, Christin Abu, Don P Mathew, Gokul Krishnan G , Enhancing LSD Image Classification Techniques A Literature Review on Classification Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Muneebah Mohyiddeen, Sana T.H, Anoodh Hussain, Nandana P Narayanan, Sneha Soman, DGCURE: Model for Detection of Dysgraphia , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Prayag Suresh, Sneha Susan Alex, Rojan Varghese, Thomas Zacharias, Shiney Thomas, Survey of Strabismus Detection Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jyothis Joseph, Angeetha Raju, Aparna Santhosh, Ashitha Jenish, K S Minu, Survey on Fake Profile Detection in Social Media , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jane George, A study on Multiple-Instance GPU, Evolution, Architecture and Applications , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Prof.Pavitha P.P , S Abhinav, Abida P Vaidyan , B Parvathi, A Critical Evaluation on Line of Sight Based Data Transmission A Review , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- George P Kurias, Gokul Krishna AU, Jifith Joseph, Sharunmon R, Linsa Mathew, A Review of Methodologies for Detecting Missing and Wanted People Using Machine Learning and Video Surveillance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Dr. Indu John, Gauri Santhosh, Jesna Susan Reji, Abdul Musawir, Glady Prince, Detection of Autism Spectrum Disorder in Toddlers using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.