Live modeling
Overview
Live modeling, also known as near real-time modeling, represents a significant advancement in how hydraulic models are utilized, effectively transforming them into dynamic "Digital Twins" of the physical water distribution system. This advanced approach involves the continuous integration of the hydraulic model with real-time system telemetry from supervisory control and data acquisition (SCADA), sensors, and other data sources. By constantly updating with live operational data, the model provides an up-to-the-minute virtual representation of the network's current state.
This chapter focuses on the principles, architecture, and applications of such live modeling systems. We will explore how these systems enable on-the-fly adjustments to model parameters and perform dynamic validations against actual network conditions. The ability to simulate current and predict near-future behavior based on real-time inputs is crucial for proactive operational management, rapid incident response, and ensuring the model remains an accurate and relevant decision-support tool. Implementing a live model moves a utility from reactive or planned operations towards a more predictive and optimized operational paradigm.
Why is live modeling important?
The development and implementation of live hydraulic models or Digital Twins offer transformative benefits for water utilities:
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Enhanced situational awareness: Provides operators with a comprehensive, real-time understanding of current system performance, pressures, flows, and water quality across the entire network, not just at sensor locations.
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Proactive operational control: Enables the shift from reactive problem-solving to proactive management by identifying potential issues (e.g., impending pressure drops, tank overflows, emerging leaks) before they escalate into major problems or customer complaints.
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Improved incident response: During emergencies like pipe bursts or contamination events, a live model can rapidly assess the impact, simulate the effectiveness of different response strategies, and guide field crews with up-to-date information, reducing response times and mitigating consequences.
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