Network sensors feed existing connections with data for predictive analysis. Staff receive notices of departures from a demand baseline, then use modelled hydraulic search areas to direct physical leak investigation.
Unexpected demand patterns provide a signal for investigating possible losses in a pipe network. Haskoning Aquasuite combines Burst Alert and Burst Find in the Burst application for this workflow. The Alert function predicts represented consumption and compares received conditions with a configured baseline. The Find function uses hydraulic modelling to narrow the area for a physical leak search.
Existing sensors, process databases and network-control systems supply historical and received records. Connections include supervisory control and data acquisition, or SCADA, and selected controller interfaces. The demand baseline incorporates weather and other configured variables, with the installed measurement set defining the represented area. Selected anomaly events reach field teams and managers through the agreed application workflow.
Staff review the reported deviation and use the modelled search area to plan field checks. Physical investigation establishes the condition and location before teams arrange the appropriate repair. Received history provides context for checking recurring events or comparing network behaviour after work. The configured model, connected data and chosen monitoring area define the detection and search scope, while operators and field services complete the physical follow-up.
Sensors, gateways and spare units
Site survey, mounting, commissioning and configuration
Platform subscription, connectivity, data and support
This is an estimate by IoT Apps based on comparable deployments, not a quote from Haskoning Aquasuite.
Get an estimate for your own project and invite Haskoning Aquasuite to confirm a price and lead time, on this page. Taxes, shipping, civil works and custom integration are not included. How IoT Apps estimates costs


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Alert predicts represented consumption and flags deviations from the configured baseline. Find uses hydraulic modelling to narrow the area for a physical leak search.
The configured prediction combines received consumption records with weather and other selected variables. The installed measurement set defines the represented monitoring area.
The model supports choosing the physical investigation area. Field teams check conditions and confirm the location before arranging the appropriate repair.
The agreed workflow sends selected events to field teams and managers. They review the deviation, plan the search and perform the physical follow-up.
Every page carries a cost estimate by IoT Apps for your own sites and assets; set your budget and invite Haskoning Aquasuite to confirm a price and lead time.
For 1 site with 10 monitored assets in United States, IoT Apps estimates $1,900 – $6,000 in the first year and $300 – $1,000 every year after. This is an estimate based on comparable deployments, not a quote from Haskoning Aquasuite.
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