Masonry and bottom flow inside a sewer
Sewer-interior photograph (application context). D-Kuru (resized/WebP) · CC BY-SA 4.0

Monitoring task and sensing route

Temperature contrasts between incoming water and sewage produce local anomalies. Interpret these alongside precipitation, snow cover and network geometry before field review.

Original conceptual layout: Sewer and branch connections and the optical-fiber route
Original OriginSense application concept showing observation relationships, not a customer installation.

Published research observation

Panasiuk and colleagues monitored sewers with DTS across snowmelt and rainfall, finding different infiltration locations during snowmelt and subsequent heavy rain. [1]

Research evidence and proposed validation
ItemDescription
Study settingSewer field observations across weather events
Research observationDifferent weather events reveal different ingress locations
Proposed comparisonMap fiber distance to laterals, manholes and flow direction, including dry and spare-cable sections.

Validation and integration priorities

Cover dry weather, snowmelt and different rain events with water-temperature and precipitation references.

Verify candidate locations through site surveys and flow observations, separating anomaly location from flow estimation.

Reference

[1] Oleksandr Panasiuk et al. Using Distributed Temperature Sensing (DTS) for Locating and Characterising Infiltration and Inflow into Foul Sewers before, during and after Snowmelt Period. Water (2019). DOI: 10.3390/w11081529.