Water/wastewater
For instrumentation professionals, utility engineers, and monitoring specialists, the discussion offers a rare blend of strategic foresight and technical depth. Topics covered include:
Digital architecture of smart water systems: A breakdown of the components driving autonomous networks—distributed sensors, control actuators, edge computing nodes, and cloud integration. The panel outlines how data and control layers are engineered for resilience, responsiveness, and interoperability.
Sensor deployment and network intelligence: Insights into the selection and integration of real-time flow, pressure, turbidity, and water quality sensors. The speakers discuss challenges in achieving reliable, high-frequency data capture across dispersed, often ageing infrastructure.
Edge and cloud-based analytics: How water utilities are using edge intelligence to reduce latency and bandwidth, enabling faster detection of anomalies and more autonomous system behaviour. The panel also covers integration with SCADA systems and AI-powered dashboards.
Operational autonomy and control: Concrete examples of semi- and fully-autonomous interventions, such as smart valve operation, dynamic pump scheduling, and leak response automation. Emphasis is placed on safety protocols, failover strategies, and cybersecurity.
Rollout strategies and ROI: Real-world experiences are shared on phased deployment—beginning with sensor retrofits and moving toward fully autonomous districts. Key takeaways include lessons on funding, stakeholder buy-in, and return on investment tracking.
Future trajectories: The panel closes with a discussion on emerging technologies—digital twins, automated compliance reporting, predictive maintenance via machine learning—and how these are shaping the roadmap to scalable, self-regulating water infrastructure.
IET Guide 2026