Rural Drinking Water
Online Safeguard Monitoring for Rural Drinking Water in Dongyang
1 / 2Project Background
Rural drinking-water systems around Dongyang operate under real constraints — limited budgets, limited technical staff — yet carry the same safety responsibility as any urban utility.
Customer Challenge
Rural supplies are prone to microbial exceedance and other quality risks, while traditional monitoring is backward and maintenance-heavy: without round-the-clock stable monitoring, rural residents' drinking safety cannot be guaranteed.
The TENGINE Solution
At the inlet, the MTU high-precision turbidity analyzer — with 90° scattered-light measurement, light-source compensation and a built-in bubble-elimination device — watches raw-water turbidity through aeration and interference. At the outlet, the TMS-D6000 multi-parameter analyzer monitors residual chlorine, pH, turbidity, conductivity, ORP and temperature to national standards, using the DPD national-standard method with quad-polar graphite electrodes and automatic self-cleaning.
Implementation
The two analyzers were installed at the supply's inlet and outlet, running unattended with automatic cleaning and long maintenance cycles.
Project Results
Rural drinking water is now monitored precisely, around the clock, across multiple parameters at both inlet and outlet — no dedicated staff required. The low-cost, maintenance-light configuration fits rural supply realities and has become a model for beautiful-countryside drinking-water upgrades.
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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