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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60378
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
It begins with clean water – without it, staying healthy becomes harder. Factories spread fast, farms pour chemicals without rules, cities dump more trash; together these poison rivers and lakes, pushing nations toward a quiet crisis. Watching what flows through pipes and streams needs to happen nonstop, yet most places still pull samples now and then, sending them far away for tests that take days. By the time results arrive, dangers might already have passed – or worsened. Labs need experts in coats, machines humming under bright lights, but those setups miss sudden spills or short-lived spikes entirely. Out here, a closer look at how an ESP32-powered setup tracks water health in real time. Three different sensors pitch in – each bringing its own piece of the picture. Instead of just counting minerals, the TDS detector senses what kind of invisible stuff mixes into the liquid. Light gets scattered when particles float around, so the turbidity meter watches how clean the view stays through the sample. Heat shifts everything, right? That is why temperature checks tag along, noting changes that nudge reactions or life forms below the surface. Information flows nonstop into the tiny brain of the board. Once it lands there, two things happen at once – the numbers show up on a small screen nearby while another copy rides WiFi waves toward online storage. Over time, those readings pile up, ready whenever someone needs to glance back or study trends without being onsite. A single reading decides if water passes or fails safety checks instantly, so fixes happen right away even without specialists nearby. Cost stays low while handling growth across many uses – homes checking tap quality, factories tracking waste runoff, scientists studying rivers outdoors. Tests show sensors give correct numbers once tuned, react quickly when conditions shift, plus keep steady contact with online storage during operation, proving it works well where smart water control matters. Io
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Publication Date
4/17/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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