HydroTrek has multiple software modules that integrate IoT, SCADA and Analytics. These modules are a key subset of the smart ecosystem that can include other components.
HydroTrek software for water distribution systems from Global Quality Corp. (GQC) utilizes SCADA (Supervisory Control and Data Acquisition) data to modify the model behavior in a “live” mode or in a “history” mode and can actively “re-calibrate” a planning model at a fraction of the usual cost. HydroTrek output often matches SCADA data because its algorithms accurately modify the model in real-time. This advanced functionality has been field-tested at both small and large utilities.
HydroTrek leverages existing investments in network modeling, GIS data and SCADA system, and provides a toolset to reduce energy costs and pinpoint leaks while maintaining water quality. HydroTrek also allows contaminant event detection and source identification. It is based on US EPA’s leading multi-species modeling and backtracking software libraries and can be used to determine potential sensor locations and to determine sampling locations for RTCR compliance.
HydroTrek has the ability to display data in a number of ways to suit the needs of a utility. Individual components can be displayed (i.e. tank levels or pump flows) via customizable graphs or detailed model and SCADA comparison tables. Alternatively, the entire network can either be viewed using a zonal diagram which displays both SCADA and model values in real-time, an actively updating model network view that color codes model elements based on updating results, or a satellite/street view that shows the actual location of all SCADA monitors in the network.
The Storm Water Management Model (SWMM) computation engine provided by EPA is a widely used component throughout the world for simulating sewer and storm water systems. The engine also comes with a pc-based graphical user interface that provides an extensive toolbox for creating, modifying and running a SWMM model. GQC provided some necessary enhancements to the SWMM 5 API to allow complete model simulations to be run in the cloud. GQC also added the ability to run SWMM using parallel processing, which leads to significantly improved run times in a virtual environment.
Cloud based SWMM simulations can be utilized for a variety of purposes. Historical runs can be made to perform in depth analysis of collection systems using both model and sensor data side by side. Real-time or “live” mode allows the model to be continually updated and refreshed with the latest local rainfall data so that the most up-to-date comparison between model and sensor data is available. Additionally, rainfall predictions are used to forecast the model into the future and allow for operational and strategic decision making.
Model results, as well as real-time sensor data throughout the network can be viewed from any device. The display dashboard only requires an internet connection and browser, so no specialized software is required, and results can even be viewed on the go via tablets or smartphones. This allows the ultimate form of collaboration, with all up-to-date model and sensor data available to anyone who needs it at any time. All data is securely stored in the cloud, and password protection provides peace of mind.