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Jan 17, 2023< 1 min read

iHydrant Case Study: IIoT Data Science & GIS Mapping

iHydrant technology revolutionizes water systems, leveraging powerful real-time analytics and actionable insights to detect and prevent water loss, and extend the life of infrastructure evolving the way your utility looks at water.

Challenge

Wanted to add machine learning and AI to their existing intelligent water management devices but lacked the internal expertise and resources to execute.

Solution

The DevIQ Data Science team developed a first-of-its-kind, advanced event localization algorithm to pinpoint transient events in a closed water network. Then we leveraged Azure serverless technologies to deploy the solution to the cloud for real-time event analysis and heat map visualization.

Technologies

Some of the technology expertise used in this project includes:

  • AWS S3 Data Lake
  • Databricks Lakehouse
  • Amazon Athena
  • GraphQL
  • REST APIs
  • 3rd Party Integrations

Result

iHydrant clients now have the ability to more accurately manage and monitor their water networks. They can respond to events faster and more efficiently to reduce customer downtime and limit water loss due to hydraulic events and failures in the network.

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Learn more about iHydrant.

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