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Other articles

  • Overview of the network building process
  • Basic requirements to build a network in Qatium
  • How to prepare your hydraulic model for upload
  • How to prepare your GIS data for upload
  • How to set up controls
  • How to calibrate your model
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Overview of the network building process

Creating a network in Qatium starts with your data—and builds up into a smart, dynamic model that delivers actionable insights. Whether you're just getting started or already an experienced user, this overview walks you through the main steps to build and maintain your network in Qatium.

Each step includes a link to a detailed guide, so you can learn more as you go.

Start with your basic data

Depending on the data you have available, to upload or create a network in Qatium you can:

  • Upload your GIS dataset (GeoJSON and Shapefiles)—recommended to have the most accurate and up-to-date network
  • Upload an EPANET input file (.inp) 
  • Combine both .inp and GIS files 

This data forms the foundation of your network in Qatium—a digital representation of your system that you can visualize, analyze, and simulate. The more complete and accurate this foundation is, the more value you’ll get from Qatium’s features and simulations.

Visit our full guide on how to prepare your data for upload.

⚠️ Important: We highly recomended having a GIS editor available to make any required updates and corrections on your GIS data to improve the model accuracy or reflection of reality.

 

Connect sensor data

Want real-time and more accurate insights? Integrate your sensor data via API or upload CSV files manually. Sensor data enhances your model with live updates and historical analysis.

  • Use Qatium's API for a live model
  • Upload readings using CSV files 

Learn more about how to connect your sensor data

Add control rules

When your network includes dynamic elements like pumps and valves, defining control rules ensures realistic behavior—especially useful when sensor data isn’t available. Controls also support:

  • Accurate predictions of the network condition when performing scenarios (when there are no readings available)
  • Simulation resilience when sensor data is missing or broken, and we still want to replicate the network control's behaviour.

Add and configure control rules

Calibrate your model

Model calibration means fine-tuning your network until its behavior matches what happens in the real world. You compare outputs like pressure, flow, and tank levels against field measurements, then adjust parameters—like pipe roughness, demand, or operational settings—until the results align. Without calibration, even the most complete model can only offer limited value.

You can use your preferred GIS tools to investigate and solve issues. The goal is to ensure your network is complete, connected, and ready to deliver reliable insights.

How to calibrate your network

Enhance your network

To unlock more plugins and scenario types, consider adding extra layers and attributes to your network and assets.

For example:

  • Warning thresholds: to display notifications when your assets have issues.
  • Emitters: to estimate leakage.
  • Water age to evaluate water quality.

Read our complete guide on how to enhance your network

Maintain and update your model

Keep your network up-to-date by:

  • Adding new or replaced sensors
  • Updating control logic
  • Reflecting physical changes in the infrastructure

This ensures you continue receiving reliable, accurate insights—even as your real-world network evolves.

Check out our guide for network maintenance

network building process to create a network
Start with your basic data Connect sensor data Add control rules Calibrate your model Enhance your network Maintain and update your model
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