Dryp - Presenting Lens - One platform, all your data.

Presenting Lens - One platform, all your data.

Utility companies gather and maintain a vast array of data. This includes pump data from SCADA systems, GIS data, flow measurements from various campaigns, tipping bucket readings, and both wired and wireless permanent meters. Every minute, immense volumes of data are collected. At times, a specific data point may trigger an alarm or notification, while at other times, it may remain in a data warehouse, unused. Occasionally, the data provides valuable insights, but there are moments when it is completely unclear. With Lens, we aim to fill these gaps.

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Christian Østergaard Laursen

Head of Technology

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Lens is our focus on how the value of data, from different sources and suppliers, can be visualised within the same platform, essentially making the platform hardware and data agnostic. It's our first step in the direction of a purely hydraulic data platform that takes multiple types of hydraulic data from multiple sources and combines them for easy analysis.

While generic visualisation platforms, such as PowerBi, Microsoft Fabric and Open Source tools like Grafana makes it easy to showcase time-series data, they lack the hydrualic focus and the scalability to handle and convey more than a handful sensors. Comparing two sensors is easy, but when comparing 20 across catchments, context becomes increasingly important.

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The release of Lens also marks the release of multiple improvements on our system that handles millions and millions of datapoints. We've silently released Engine features like our Annotation Tool (which works with all external data sources), improved automated filtering, added flow meter support, added support for Danmarks Miljøportal, MuniSense and other third-party data suppliers.

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And this is just the first step in the direction of a more contextual, network-oriented, hardware-agnostic visualisation and analysis platform that is becoming increasingly domain-focused and event-driven - we're shifting the perspective from being hardware-oriented to focusing more on the hydraulic structures and the network effects. Our vision is to make automated hydraulic analysis (and conclusions) available for everyone.

But of course, you want to gist of the current release, here's some keypoints below.

Value, simplified.

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Reduce the time it takes to perform data analysis by 90%
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All data is geo-referenced and always available
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Correlate across data sources and break down data silos
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Avoid having expensive measurement campaigns and consulting efforts getting lost or forgotten in a CSV file on a random drive

Features, some of the highlights.

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Clearly see whether data is hydraulically validated - whether its' automatically or by Dryp's own hydraulic analysts
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Drag & drop virtual rain gauges based on radar data, and other parameters
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Stack multiple time series to spot correlations that were previously extremely time-consuming to detect
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Get the option to call a hydraulic data specialist at Dryp if you need help or are short on time

And if you're interested in contributing with your needs, then feel free to reach out - we are actively updating and validating our roadmap together with customers and domain experts.