Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This paper aims at providing smart solutions to
the blockages, and presence of any poisonous sewage
gases and works on a system of live sewage level detection
and monitoring. There is currently an ongoing digital
transformation for sewage and wastewater management.
By automating data collection and enabling remote
monitoring, we will not only be able to save abundant
human resources but also enable predictive maintenance
which is based on big data analytics. This paper presents a
smart sewage water management system that is currently
under development in developing countries. Real-time data
can be collected from many sensors which have already
been deployed Whenever, a certain threshold is crossed, an
alert is sent to the observer who is examining the
conditions from a remote location. The information is then
forwarded indicating whether it is safe for the worker to
clean or work in that environment or not. Information is
shared using MQTT.
Keywords:
MQTT, Arduino Nano, Nodemcu
Cite Article:
"SMART COMBINED SEWER MONITORING SYSTEM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1592 - 1595, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206235.pdf
Downloads:
000205270
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator