Overview
The city of Calgary using data to predict and mitigate floodsOSIsoft |
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Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics Functional Applications - Enterprise Asset Management Systems (EAM) Functional Applications - Remote Monitoring & Control Systems Sensors - Flow Meters Sensors - Level Sensors | |
Cities & Municipalities | |
Business Operation | |
Leakage & Flood Monitoring | |
Quantitative Benefit
With accurate information about when floods are likely to take place, PI System data and analysis tools give water system operators more advanced notice so they can take preventative measures to reduce flood impact. For example, operators can begin to reduce the amount of water stored in reservoirs to make room for flood level flows. “We depend entirely on the PI System during the month of June to prepare for flooding,” says Darrol Weiss, Water Services Systems Leader for City of Calgary. “When we’re having floods, we can now look at the mountain river flows and we know how much time it takes for that water to get there.” | |
This data is also accessible to users throughout the City so they can see when high water volumes are likely to reach their systems and act independently to prepare. For example, the city’s emergency response personnel now use the PI System data to monitor river levels. That knowledge gives emergency responders the time they need to begin applying flood prevention measures — such as sandbagging — to protect residential and business areas. | |
Water treatment operators use PI System visualizations to monitor sewage collection station flows and prepare treatment facilities to handle higher volumes with different treatment needs, such as more sedimentation. This real-time monitoring and visualization has helped the utility reduce water quality problems during flood events. These improvements are also easier to communicate to the provincial government, using automated reporting powered by the PI System that details both the water treatment process and the water quality test data. | |