どのように動作しますか

What it simulates

A wastewater collection system: eight lift stations across two districts and the treatment works they feed. Nine sites, 274 points, over DNP3.

This is a fleet rather than a plant, so the interesting comparison is between stations. Energy per million gallons drifts up long before anything alarms, and the fleet view is what makes the worst station obvious.

• wet well levels, pump runtimes, starts and currents per station
• flows, rainfall and inflow at the works
• effluent quality against permit limits

What it configures on Litmus Edge

On startup, and it removes exactly what it created when you are finished:

• 9 DeviceHub devices on the DNP3 driver, 274 points
• 2 Digital Twin models covering 9 instances, one per station plus the works
• 5 multi-input Analytics groups: pump efficiency, overflow risk, permit compliance, station availability, wet weather

Scenarios you can inject

• Impeller wear raises energy per million gallons with nothing alarming, which is the cost that accumulates quietly across a fleet
• A wet weather event puts inflow and infiltration into the system and turns wet well level, pump availability and rainfall into one question about an overflow
• A pump dropout or a telemetry loss removes capacity or visibility at one station while the rest of the fleet carries on