TENGINE — Tengine Innovation

Wastewater & Effluent

Wastewater Treatment Process Monitoring Solutions

Turn the treatment train into a measurable, controllable process — online dissolved oxygen, suspended solids, pH, ORP and nutrient monitoring from influent to effluent that stabilizes performance and cuts energy cost.

Wastewater Treatment Process Monitoring — application scenario

01Definition

What Is Wastewater Treatment Process Monitoring?

Wastewater treatment process monitoring is the continuous online measurement of key parameters — dissolved oxygen, suspended solids, pH, ORP, ammonia and nitrate nitrogen, and organic load — at each stage of the treatment train, enabling operators to control aeration, manage sludge and secure stable effluent quality in real time.

02Your Challenges

Customer Challenges

Influent load fluctuates every day

Flow and organic load swing with weather, holidays and industrial discharge patterns. Without continuous influent data, the biological process drifts out of its optimal window before anyone notices.

Aeration consumes 50–60% of plant energy

Over-aeration wastes energy and can harm nutrient removal; under-aeration risks effluent quality. Only accurate, stable dissolved oxygen data closes this loop.

Nutrient removal needs real-time feedback

Nitrification and denitrification respond to ammonia, nitrate and ORP dynamics that grab sampling cannot capture — carbon dosing without nitrate feedback is dosing blind.

Process data must be trustworthy to be used for control

Fouled or drifting sensors produce data operators learn to ignore. Self-cleaning, low-drift instruments are the prerequisite for automatic control.

03What to Measure

Monitoring Parameters & Their Significance

What to measure at each monitoring point — and why it matters for your process.

Monitoring PointParametersSignificance
InfluentCOD (UV254), ammonia nitrogen, pH, suspended solidsLoad assessment and shock-load early warning to protect the biological process
Anoxic zoneORP, nitrate nitrogenDenitrification condition verification and carbon dosing feedback
Aerobic zoneDissolved oxygen, ammonia nitrogen, pH, suspended solidsAeration optimization, nitrification control and sludge inventory management
Denitrification filterNitrate nitrogenPrecise carbon source dosing interlock — second-level response for closed-loop control
Secondary clarifier & effluentTurbidity / suspended solids, dissolved oxygen, pH, CODSludge carryover prevention and final effluent quality verification

04Engineered for This Scenario

Recommended Products

The instrument configuration our application engineers recommend for each monitoring point.

Request a full configuration

05What You Gain

Customer Benefits

Direct energy savings

DO-based aeration control — optionally refined with ammonia feedback — typically delivers double-digit aeration energy savings while protecting effluent quality.

Stable treatment performance

Continuous visibility of load, oxygen and nutrients keeps the biological process inside its optimal window despite influent fluctuations.

Less manual work, more control

Self-cleaning optical sensors with long calibration intervals cut routine sampling and maintenance, freeing the team for process optimization.

06Proven in the Field

Project References

All case studies
Oil-in-Water Monitoring for Saudi Arabia's Red Sea New City
Saudi Arabia · 2022
WWTP Process ControlWastewater Treatment Process

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.

Precision Monitoring for Membrane Pilot Testing at Nanjing Beihekou Plant
Nanjing, Jiangsu, China · 2026
Pilot & R&D MonitoringWastewater Treatment Process

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.

Intelligent Sludge Discharge at Shanghai Bailonggang WWTP
Shanghai, China · 2026
WWTP Process ControlWastewater Treatment Process

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.

07Integration

Communication & System Integration

RS485 Modbus RTU sensor networking 4–20 mA and relay outputs via TC1000 / TC2000 controllers SCADA / PLC integration for closed-loop aeration and dosing control

Frequently Asked Questions

Discuss your project with us — Wastewater Treatment Process Monitoring

Share your monitoring points and required parameters — our application engineers will design a complete configuration for your project.