Software for Reservoir Gate Operations

AEM Element® 360 – Automated Guidance for Reservoir Gate Operations

GateOps™ is a suite of automated management tools, custom-configured by our Professional Services team within AEM Elements 360 (formerly Contrail), designed to provide real time guidance for reservoir or dam operations during rainfall or inflow event.

Based on a reservoir or dam’s standard operating procedures, GateOps continuously analyzes real-time data—including rainfall, streamflow, stage, and water level sensors—along with variable formulas and calculations. It then delivers recommended minimum and maximum outflow rates and prescribed discharge adjustments to help operators effectively manage events and eventually restore the reservoir to nominal pool elevations.

The primary objective during a rainfall or high-flow event is to manage the reservoir safely and effectively from start to finish—protecting the structural integrity of the dam and minimizing downstream risks to life and property. An event is considered complete only once the reservoir has been returned to its nominal pool elevation. GateOps supports this goal by guiding operators in real time, ensuring actions align with established procedures and protocols. By automating calculations and decision-making processes, GateOps reduces the risk of human error and eliminates the need for manual analysis.

Examples of configurations:

  • GateOps™ Dashboards
  • Inflow, Outflow
  • Prescribed Outflow
  • Embedded RFC Graphs
  • Thresholds for Display
  • Alerts

FEATURES

  • Automated real time calculations and analytics using real-time data
  • Easy to understand visual graphics and custom real-time dashboards allow for quick data exploration and targeted decision-making
  • Event-based alerts enable operators to focus on the right information at the right time
  • Accelerates planning and decision-making abilities
  • Supports historical analysis, prediction, forecasting, and optimization
  • 24/7 web-based mobile and desktop access for authorized users

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