Back to Search
Start Over
Big Data analytics and IoT in Operation safety management in Under Water Management
- Source :
- Computer Communications. 154:188-196
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- The smart city is described as the place where citizens live well-organized urban lives, ensure their sustainability, and cause the least damage to the environment through information and communication technology (ICTs). Big data and the internet of things sensors and applications collect data that allows effective technology solutions. In water management, smart water meters reporting water quality and use, alerting leaks to the water company, or potential contamination. In this paper, the Supervisory controller and data acquirement (SCADA) Approach for sustainable water management in the smart city based on IoT and Big Data Analytics. Big data analysis is a new technical term for the collection from deployed IoT sensors of huge amounts of relevant data to track the physical state, use and quality of the device. The Internet of Things (IoT) software can be extended to the entire water supply system and to device product use to carry out this principle of big data analysis. The experimental results demonstrate that the implementation aims to proactively control the usage of water by both companies and customers and to achieve higher levels of sustainable water supply.
- Subjects :
- Computer Networks and Communications
Computer science
business.industry
media_common.quotation_subject
Big data
Water supply
020206 networking & telecommunications
02 engineering and technology
Computer security
computer.software_genre
SCADA
Information and Communications Technology
Smart city
Sustainability
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Quality (business)
Water quality
business
computer
media_common
Sustainable water management
Subjects
Details
- ISSN :
- 01403664
- Volume :
- 154
- Database :
- OpenAIRE
- Journal :
- Computer Communications
- Accession number :
- edsair.doi...........2a6dfdf598bf5829dbc26ec7d5f64879