Waste Water Pump Station Monitoring

Situation
- Sewerage systems get blocked, clogged, overflow and send untreated waste into an estuary used for commercial oyster cultivation.
- Limited data from sewerage system has historically made blockage detection challenging and dependent on local residents calling water utility.
Goal is to detect events without installing extensive new sensor networks throughout the entire sewerage system network

Develop a standard weekly usage profile for each pump out station using reference profile
Utilize asset modeling to take the single model and create a unique usage shape for each individual pump station
Monitor all pumping stations for large deviations from “normal” profiles
Integrated with notifications to send alerts to operations center

Fast deployment (in less than 1 month) giving improved early detection of blockages
Additional capital investment deferred
Seeq model and notifications identify abnormal conditions in real-time (Multiple network operating anomalies successfully detected)
Engineers can tune the model easily
Rich data context for abnormal events

OSI PI
PI Asset Framework

Transform pump on-off signals to a more meaningful analytic – time between cycles – to create a virtual ”sewage load” signal

Developed capsules to estimate normal pump run frequency
Identified rain events and eliminated those times from the model
Used to detect unusual pumping patterns due to blockages

Rapid development in less than 1 month
Blockage detected 13 hours prior to reporting
Delayed capital investment
Reduced frequency of release of untreated sewage:
- Damage local oyster producers business
- Pollution and potential clean-up costs avoided
- Water company reputational harm avoided