Welcome to Qatium’s product update for April.
This month our CMO, Damien Acheson, is here to walk you through the highlights, including new visualizations for pumps & valves and enhanced GIS data support for tank elevations. Keep reading after the video for full details of the update.
We also went live with our latest Qtalks on water management in the Middle East and North Africa with regional experts, while reviewing the benefits of Digital Twins for water utilities and how they can help them optimize network performance.
Differentiate between valves and pumps at lower zoom levels
Pumps and valves appear and disappear progressively based on your zoom level. In addition, they have been color coded so you can easily differentiate between them. Pumps are green if on, grey if off. Valves are grey if open, red if closed.
Detect pump and valve directions from your GIS dataset
We’ve streamlined the process of importing your GIS dataset by automatically detecting the direction of pumps and valves when building your model.
Easily differentiate between terrain and tank elevations
If you specify terrain and tank elevations in your GIS dataset, it’s now much easier to differentiate between the elevations.
Access Qatium now to see these new features in your own network.
Improvements to shared workspaces
After their recent release, we’re continuing to improve the user experience for shared workspaces. If you haven’t already, contact Q to request a workspace for your team.
Manage multiple network scenarios
Create, save and manage scenarios for advanced management of your network. Branch out from your base model and compare behavior with different model scenarios.
Update demand with AMI/AMR data
We’re also working on updating your demand directly from your AMI or AMR data. Using AMI/AMR, you can improve your model and reduce operational risk.
What else is going on?
Regional experts discussed water management in the Middle East and North Africa on this month’s Qtalks. What’s more, we took a look at how Digital Twin technology can help water utilities face challenges like population growth and climate change.
Water Management in the Middle East and North Africa — Qtalk Episode 5
The Middle East and North Africa face tremendous challenges in regards to water availability. With only 1% of global freshwater resources, demand continues to increase from multiple directions: cities, industry and agriculture.
As climate change accelerates water stress, what role can the recent development of digital and data-led solutions have in the region?
Join this latest QTalks with Dr. Hassan Aboelnga, Dr. Hazim El-Naser and Ms. Charafat Afailal as they link the past to the present, connecting existing challenges to new solutions.
How Digital Twins Help Water Utilities Optimize Network Performance
Rising city populations, high consumption of resources, ageing infrastructure, climate change, complex Water Distribution Systems — these are but a few issues forcing those in city management to rethink their sustainability and efficiency efforts.
Water utilities need to improve the management of Water Distribution Systems by embracing advanced tools that combine real-time sensor data gathering, advanced analytics, and model-based capabilities to simulate “what-if” scenarios.
Here we look at what Digital Twins are and how they can fulfil these functions.
Expert of the month
Enrique Cabrera, Senior Vice President of the International Water Association, has more than 20 years of experience in the field of hydraulics and urban water management.
In addition to lectures and research, Enrique has ample experience as an advisor and a consultant in international projects. His topics of expertise include performance assessment and benchmarking, regulation of water services, infrastructure asset management, water and energy, and digital water.
Find out above what he has to say about Qatium and why he believes the platform is able to help utilities around the world.
See all the experts we’re working with to co-create Qatium.
Previously on Qatium
In case you missed last month’s update, we extended “what-if” scenarios for valve operations, automated model updates from live data, and took our first steps towards shared workspaces.
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