Public Drinking-Water Points
30-Point Drinking-Water Monitoring Network in Ningming County
1 / 2Project Background
In Ningming County, safe drinking water is a public guarantee that extends well beyond the treatment plant — to township water plants, school canteens, hospitals and health-clinic canteens, and government office canteens.
Customer Challenge
Public water points are scattered across the county. The authority needed unified online supervision of drinking-water quality at plants, schools, hospitals and government canteens alike — protecting the public at every tap, not just at the plant outlet.
The TENGINE Solution
Thirty C6000 online water quality monitors were deployed across the county's township water plants and public canteens, building a multi-point real-time monitoring network for drinking water.
Implementation
Thirty C6000 monitors were installed at township water plants, school canteens, hospital and clinic canteens, and government office canteens, all reporting online in real time.
Project Results
The county now has full online coverage of its key public drinking-water points: quality data from every location is collected in real time, supporting drinking-water safety supervision and protecting schools, hospitals and government facilities.
Related Case Studies

The plant's raw water comes from an upstream reservoir whose quality swings constantly: sediment wash-in from rainstorms, summer algae blooms and organic-matter spikes, drought-period changes. Worse, by the time abnormal water reached the plant intake and was detected, several hours had already passed — the best window for response was gone.

The upgraded plant demanded high accuracy on difficult measurements — low-turbidity drinking water and residual chlorine among them — with instruments that integrate stably into the plant's automation system. Site conditions threw up real problems too, such as abnormal inlet flow conditions, and the schedule required fast technical response and on-site problem solving.

A surface water plant has many treatment stages, and running them on operator experience alone leaves blind spots: filter backwash timing, sedimentation-basin sludge discharge and disinfectant dosing could not be adjusted dynamically against actual water conditions, risking off-spec finished water.
Facing a similar monitoring challenge?
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