Smart Water

Internet of Things

Sensors and Actuators embedded in the physical objects from roadways to thermostats - are linked through networks that churn huge amounts of data. We enable to you act on this information in real time.

Smart Water

Intelligent use of information and analytics deliver improved outcomes across the water management lifecycle. Key application areas are:

  • Demand Forecasting and Allocation: Data on water demand and supply from sensors and smart meter systems across utilities or industrial users'? infrastructure and networks is collected and then analyzed and visualized in real-time to generate insight on water consumption behavior and supply conditions. Users can use this insight to more effectively manage their demand, while utilities can more effectively control supply through better decisions about what, when, and how much water to store, treat, and distribute. It also enables improved collaboration and more coordinated management across multiple stakeholders by enabling them to access and share data on a single platform.
  • Improve Preparedness and Response to Floods: Data can be collected in real-time from river systems, sensors and weather systems, combined with historical data, and aggregated to generate a unified view of the physical infrastructure. Analytics and advanced weather simulation models can be applied to this data to monitor and predict water flows and emerging threats from flooding, and pinpoint with greater accuracy potential areas at risk.
  • Infrastructure Management: Sensors and devices continuously capture data on the age, location, and condition of assets and water flows across utilities? and businesses? water infrastructure. The visualization and analysis of this data is used to generate alerts of actual or potential losses from leaks and aging equipment across the network.
  • Water Quality Testing: Vast volumes of data about the status of water quality can be gathered across industrial or utility networks from measuring instruments in the watershed, treatment plants, and testing equipment. This data can then be integrated with geographic data representations of topography, community boundaries, public infrastructure, and population data. Analysis of this data through data visualization and scenario simulation tools enhances monitoring of water quality by generating a single, reliable, and actionable geospatial view of water resources and management systems in real-time. Early intervention can thus help to reduce disease outbreaks related to waterborne contaminants and help utilities and industrial users comply with water quality regulation. 

Cutting-Edge Internet of Things Expertise

Experfy provides the world's most prestigious talent on-demand

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Worked at von Braun Labs
Internet of Things Application Lead
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Worked at Amazon
Engineering Leadership
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Works at Verizon Data Visualization Lab
Associate Director of Big Data Architecture

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