Modern water utilities monitor their distribution networks acquiring data from network critical points (production and storage points, inlets of distribution zone, etc.) and making them available in real-time to operators in a centralized SCADA. However, SCADA control typically only provides point data where sensors are installed, and does not provide information about the rest of the network that remains hidden.
Water Network Optimization takes modern SCADA a step further by providing water utilities with an overview of the entire water distribution network in real-time and in “future time” by utilizing an advanced hydraulic model to predict the flow of water based on network composition. This enables proactive notifications for operators of potentially critical situations, allowing them enough lead time to take immediate action to prevent or mitigate service disruption.
The Water Network Optimization solution enables Operations Managers and Control Room Operators to manage their network in a more informed manner by:
Incorporating virtual sensors allowing operators to know hydraulic and water quality parameters at any point of the distribution network, thus enhancing real-time supervision in SCADA
Evaluating the evolution of water network behavior and identifying potential issues regarding levels of service breaches (in terms of pressure, water quality, etc.) over the next hours and days
Analyzing the results of an alternative what-if scenario and comparing it with the business as usual scenario (without having to rely on hydraulic simulations run from other departments)
Analyzing a complete set of Key Performance Indicators on energy usage, network pressure conditions and water quality
With a vast water distribution network, it is imperative for water utilities to have an overview of their entire network in real-time and in “future-time.” Water Network Optimization is able to trigger alarms associated to potential anomalies detected by simulations. This enables operators to be warned of current critical situations in the network so that immediate actions to prevent or mitigate service disruptions can be taken with enough lead time.