Intelligent, Cloud-Connected Monitoring & Coordinated Control
Context
Fresh water and wastewater treatment plants operate complex mechanical, electrical, and process systems — including pumps, blowers, aerators, clarifiers, filters, chemical dosing systems, reservoirs and discharge systems.
Operational priorities include:
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Continuous compliance
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Process stability
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Energy optimisation
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Equipment reliability
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Rapid response to abnormal conditions
DK Sense provides a distributed edge monitoring and cloud-coordinated intelligence platform that enhances reliability and reduces reactive maintenance.
Solution Overview
Each critical subsystem is equipped with a DK Sense edge unit that:
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Collects real-time sensor data (analog, digital, Modbus, Ethernet)
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Performs local condition monitoring
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Securely transmits to cloud analytics platform
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Receives controlled coordination commands where required
This architecture enables plant-wide visibility and inter-process coordination.
Primary Applications
1️⃣ Raw Water / Inlet Monitoring
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Monitor flow, turbidity, pH, conductivity.
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Detect rapid changes in incoming water characteristics.
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Trigger pre-emptive adjustments in chemical dosing or process parameters.
Outcome: Improved process stability and reduced chemical overuse.
2️⃣ Pump & Motor Condition Monitoring
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Monitor current signature, vibration, temperature, pressure.
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Detect cavitation, bearing wear, misalignment, abnormal starts/hour.
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Generate asset condition score and maintenance alerts.
Outcome: Reduced unplanned downtime and catastrophic failures.
3️⃣ Chemical Dosing Optimisation
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Monitor dosing rate vs flow.
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Detect pump degradation or inconsistent injection.
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Identify chemical tank depletion trends.
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Cross-check sensor drift with correlated parameters.
Outcome: Lower chemical costs and improved compliance consistency.
4️⃣ Filtration & Clarification Systems
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Monitor differential pressure (ΔP), turbidity trends, backwash frequency.
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Detect fouling early.
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Optimise backwash timing using real data instead of fixed intervals.
Outcome: Improved efficiency and extended filter life.
5️⃣ Aeration & Biological Process Control (Wastewater)
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Monitor dissolved oxygen, blower load, basin conditions.
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Detect abnormal oxygen demand spikes.
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Optimise aeration energy consumption.
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Identify early biological imbalance indicators.
Outcome: Reduced energy usage and stable treatment performance.
6️⃣ Sludge & Effluent Monitoring
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Monitor sludge pump load, thickener performance, discharge parameters.
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Detect blockages or abnormal discharge trends.
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Maintain discharge compliance with time-stamped data.
Outcome: Reduced environmental risk and improved reporting integrity.
🔗 Cloud-Based DK Sense M2M Coordination
A key differentiator is cloud-mediated machine-to-machine (M2M) coordination between subsystems.
Each DK Sense unit connects securely to the cloud platform, which acts as an orchestration and decision engine.
This allows:
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One process unit to coordinate with another located 1,000 metres or more away.
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Intelligent cross-process automation.
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Centralised rule-based control with distributed execution.
Example: Inlet Surge Protection
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Inlet flow spike detected.
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Data transmitted to cloud.
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Cloud rule engine evaluates load impact.
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Aeration and clarification subsystems receive coordinated adjustment commands.
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System stabilises before process upset.
Example: Chemical Overdose Prevention
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Turbidity stabilises but dosing remains high.
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Cloud analytics detect mismatch.
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Command issued to reduce dosing rate within safe limits.
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Chemical savings achieved while maintaining quality.
Example: Pump Failure Containment
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Downstream pressure anomaly detected.
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Cloud coordinates upstream pump station adjustment.
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System load redistributed before plant shutdown occurs.
Resilience & Security
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Encrypted communication between edge and cloud.
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Role-based command control.
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Full audit trail of automated decisions.
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Edge autonomy ensures safe operation during temporary network interruption.
Integration
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Interfaces with existing PLC/SCADA systems.
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Supports Modbus, Ethernet/IP, analog and digital I/O.
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Operates alongside legacy systems.
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Scalable deployment by subsystem or full plant rollout.
Pilot Deployment (8–10 Weeks)
Deploy DK Sense on:
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2 pump systems
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1 filtration or aeration subsystem
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1 chemical dosing system
Deliverables:
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Real-time dashboards
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Condition-based maintenance alerts
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Demonstrated inter-process cloud coordination
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Measured reduction in abnormal events or energy usage
Strategic Value
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Improved compliance confidence
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Reduced reactive maintenance
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Lower chemical and energy costs
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Early fault detection
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Cross-process intelligent coordination
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Scalable plant-wide digital intelligence
DK Sense transforms treatment facilities from reactive monitoring environments into proactive, intelligently coordinated systems—securely connected through the cloud while maintaining robust edge-level control.
