WWTP Process Control
Extreme-Climate Instrumentation at Jinghe WWTP, Xinjiang
1 / 2Project Background
Jinghe County's wastewater plant in northwest Xinjiang treats 15,000 m³/day through an A²/O process — in a region of extreme diurnal temperature swings, bitter cold and scorching heat that punish outdoor instrumentation.
Customer Challenge
Extreme temperature cycling degrades instrument accuracy and lifespan. The plant needed a full-process instrument suite — resistant to temperature difference, corrosion and clogging — to keep its A²/O process automatically controlled and its effluent stably compliant with Class 1A.
The TENGINE Solution
In May 2015, TENGINE deployed 42 instruments of 10 types: online COD monitors, dissolved-oxygen analyzers, sludge concentration meters, turbidity meters, pH meters, sludge blanket level meters, ultrasonic level and differential-level meters, electromagnetic flowmeters, open-channel flowmeters and thermal gas mass flowmeters — selected for the northwest's extreme heat-and-cold alternation.
Implementation
The instruments were installed across the biological tanks, pipelines and open channels, feeding full-process data to the plant's automation for A²/O control.
Project Results
The suite has run stably for nearly three years and counting in the extreme climate: the 15,000 m³/day plant holds its effluent steadily at Class 1A, validating TENGINE instruments for high-temperature-difference, harsh-environment municipal plants across the northwest.
Related Case Studies
A mega-project of this scale places extreme demands on water quality data  accuracy and stability must hold over decades of operation. The wastewater treatment works required continuous online monitoring of oil content in water: a demanding measurement that has to run unattended in a harsh coastal desert environment, resist fouling, and integrate cleanly into plant process control.
Membrane performance calibration demands precise, time-aligned and traceable water-quality data to verify retention, anti-fouling and cleaning-recovery behavior. The pain points were acute: micro-leakage is hard to detect, and instrument drift under variable operating conditions contaminates the baseline data that the whole evaluation depends on.
Sludge concentration and blanket-level measurement were unreliable, so discharge relied on operator experience. Timing and volume were hard to control precisely — under-discharge, over-discharge and sludge loss all occurred, destabilizing effluent quality and pushing up running costs.
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