IoT platform for digital twin plants

Real-time industrial analytics through digital models

27% fewer casting line failures
100% remote operator monitoring
40% faster incident response

About the client

The client is one of the leading industrial companies in Europe headquartered in Germany. The company’s primary focus is on the steel production industry.

Our goal

The company approached XPG factor with a request to create a software platform to monitor and analyze process data in real time for their continuous casting machines.

Challenges we faced

The customer had outdated software tailored to specific plants. The physical presence of assistants/managers was required at the plant to track the production process, which complicated the process.

Implemented solution

The XPG factor team suggested moving all the data online to solve the client’s problem.

Data storage

By the client’s request the XPG factor team set up the data flow through the cloud infrastructure/environment. This made the approach totally different from the typical use of third-party or self-written services. The solution resulted in faster tasks’ completion, centralized data storage without the need for additional programs, and quicker customization and development. Plants’ digital twins also help to track data at the stage of smelting in real time.

Visualization

The XPG factor team used the Thingsboard IoT framework to visualize the client’s data. The framework provides cross-device connection, signal visualization, and customizable dashboard creation tailored to the client’s needs. As part of the project, we created multiple dashboards that display the current state of the production line, with integrated digital twins of the plants for easy access. Experts can remotely monitor the steel casting machine’s operation through the system.

Security

The team provided security on the project with the help of multilayer user authentication.

Key features

  • Real-time data analytics
  • Customizable alarm dispatching
  • Measuring results verification
  • Comparative analysis of production and maintenance data
  • Trends analytics
  • Customizable rules engine

Methodology & transparency

During the project, the XPG factor team followed the Agile methodology. During weekly online meetings with the customer team leader, we shared reports on completed tasks and settled project management issues for the client.

To keep the client informed of their progress, the team also conducted weekly demos to showcase the results.

Results & business value

The implemented solution delivered measurable improvements across multiple areas during real-world operation.

40% faster incident response

By enabling real-time monitoring and instant alerts, the system significantly reduced the time it takes to detect and react to issues on the production line.

27% reduction in casting line failures

Early detection of anomalies and data-driven decision-making helped to minimize downtime and lower the number of breakdowns in continuous casting operations.

100% elimination of on-site operator monitoring

With centralized dashboards and remote access, plant staff can now monitor equipment and process metrics entirely off-site — improving safety and reducing labor overhead.

Team Composition

Frontend developer
2 backend developers
Cloud engineer

Technologies

Frontend
React
Thingsboard
Backend
Node JS
Rabbit MQ
Azure IoT
Other
OPC UA

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