Monitoring cooling systems

Moldflo is an intelligent manifold that was developed for monitoring refrigeration systems by plastic molding, thus monitoring flow and energy losses in refrigeration systems.

The development of Moldflo began in May 2012 when we were presented with a problem with clogging of cooling ducts in plastic molding machines. Together with three other companies, we started a collaboration with a plastic manufacturer in June, after which we performed analyzes, simulation and practical tests that showed that there was no system on the market that could meet the requirements. Then we made workshops, tests and conversations with the plastic manufacturer, which led to the development of a prototype consisting of software, electronics and mechanics. Pilot test was approved by the end of 2012 and the final system came on the market on 1 January 2013, just seven months after the start of the project.

By monitoring the inlet temperature, return flow and return temperature of each cooling duct, Moldflo ensures that the required cooling requirements are met, resulting in higher quality and less error production.
By using flow sensors of the Vortex type, the measurements are validated mathematically in the microprocessor. The measurements are made in real time and data is transmitted, for example, via ethernet to other systems simply, making it possible to quickly detect problems with the water flow.
All circuits are monitored using a touch screen showing flow and temperature. The internal memory makes it possible to save several different mold setups so that they are ready for use.

Today, Moldflo is used in companies all over the world. During the first 3 years of product life, more than 1000 systems have been sold.


  • FreeRTOS
  • 1-wire
  • RS-485 communication protocol
  • OPC-UA protocol
  • Web service
  • Time series database
  • QT (under Linux)
  • Intergrated VNC
  • Vortex sensor (temperature, flow, pressure)
  • Altium Designer
  • Application programming
  • Energy optimization
  • Process optimization