Station anomaly detection.
Each station judged against its own history, so a change in behavior shows before it becomes an incident.
Problems flagged earlyPressure, flow and valve data from every station on one view, with anomalies flagged against each station’s own history, compressor health on the same record, and security alerts that name the station at risk.
Built from the RTUs, PLCs and SCADA each station already runs, read-only, with nothing installed on the controllers.
Pressures, temperatures, vibration and run hours, linked to service history.
Pressure regulation and metering stations, compared with their own history.
Valve positions and line pressure along the network.
Gas in against gas out, so metering gaps and losses show up.
Every flag shows the signals behind it, so engineers can check it in minutes.
Each station judged against its own history, so a change in behavior shows before it becomes an incident.
Problems flagged earlyFailure risk per failure mode and cost-optimal service intervals for compressors and drivers.
Fewer unplanned tripsMetered inflow, outflow and reported figures reconciled, with gaps flagged for review.
Losses and metering errors foundBlowdowns, seals and purging calculated to recognized methodologies, traced to the source data.
Traceable methane figuresPassive OT network monitoring, with every alert joined to the station and process at risk.
Alerts ranked by what is at stakeUnmanned stations on the same view as staffed ones, with data health checked continuously.
Every site visibleBuilt on Operations intelligence and OT security. See also emissions.
Then roll the same model out across the network.
A focused first engagement, measured against your own baseline.
First results in 2 to 4 weeks. You decide on rollout after you see them.