ITMA 2019, Barcelona


The last steps in the textile chain is finishing. Mr. Heinrichs, what will Monforts present at ITMA?

Heinrichs: Thanks to a support app for communication and an app for operating Monforts systems, Monforts machines now feature a “digital twin” that will be presented to the textile industry for the first time ever at ITMA in Barcelona. With the help of advanced sensor technology, all technical data are mapped in the cloud virtually and in real time. The data in the cloud indicate the current state of the system with its respective specifications and can map the entire production process, enabling targeted analysis and controlled planning and production: Insights harnessed from data analyses can be used to optimise the actual production process.


Klaus Heinrichs, Vice President,
Monforts Textilmaschinen

What is new about your solution / technology?

Heinrichs: The status overview in real-time improves machine availability while minimising downtime considerably. Potential sources of error can be anticipated and eliminated. The digital twin provides information on individual wear parts of a system, such as converters or gears, for example. In the future operators will be able to see how long a wearing part will last and when it has to be maintained or replaced ahead of time. Direct access to the integrated Monforts webshop allows users to order wearing and spare parts at the press of the button when they are needed, virtually preventing machine downtime. On request, Monforts can monitor machine availability and proactively approach customers if action is required. Data is only ever called from the cloud provided customers have agreed, requiring their consent in the interest of data security.

What advantages does this offer for your clients?

Heinrichs: With the support app, the customer can contact Monforts service virtually 24 hours a day or at an arranged time via smartphone or tablet. Support is given right on site via a video connection. The Monforts service specialist can point out individual system parts on the customer’s smartphone using a mouse cursor and assist users in troubleshooting or operating the machine on site. Documents, such as machine documentation, can also be shown in real-time on the smartphone. Data can be used to analyse a system’s energy requirements. For example, machine operation can be optimised for production to go into full operation when electricity costs are at their lowest.

 

 
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