Objective

To identify, in real time, combined sewer overflows and sewers that are discharging or operating at high levels when the rainfall is not sufficient to trigger such an event. The aim is to identify ‘dry weather’ discharges or sewer blockages as soon as possible and to make the information as useful as possible by excluding the impact of rainfall.

Details

Real-time radar rainfall data, at 1km2 pixel size, covering the entire area of a Water Company is aggregated into catchment regions for each discharge point or sewer. This aggregated rainfall data is combined with real-time alarm data from the Water Company’s telemetry systems to determine if the discharge is happening as a consequence of local rainfall or is occurring in periods of dry weather.

All this information is made available via a mobile friendly management dashboard using the Meniscus Analytics API. This same API can be used to integrate data back into the telemetry system.

A range of management reports are e-mailed to users on a scheduled basis.

Benefits of using MAP

MAP makes it possible to combine the rainfall data for a large area with corporate datasets on asset performance. This allows users to easily create customised calculations to determine the operational characteristics of these assets (in this case whether they are discharging or at a high level during periods of no rain). Creation of the CSO and Sewer Level Entities and the associated calculations is automated once the initial templates are created.