evoTrQ - component tracking


Industry 4.0 in your press shop

The evoTrQ component marking and tracking system

Extends the possibilities in your press shop

evoTrQ offers innovative system modules from which the production processes in your press shop benefit. Sophisticated data acquisition and near-real-time visualization allow the adaptation of running production processes and support the development of comprehensive analysis potentials. This allows you to continuously expand your knowledge of the entire process. evoTrQ combines the terms Industry 4.0 and Internet of Things in a modular system and establishes the Smart Factory in the press shop. Our system collects production and process data and makes them available for analysis. This enables an active optimization of the production process - before, during and after production in the press shop.

Supports the development of savings potentials in the area of material procurement

Up to now, tolerance ranges of the coils used with regard to material thickness have been determined by the experience and the respective know-how of the plant operators. evoTrQ provides an empirical basis for the definition of limit values by collecting diverse information on the quality of the end products and making it available for analysis.

As a result, tolerance limits can be determined much more precisely and savings potential in the area of material procurement can be revealed. evoTrQ collects data and makes them available for analysis so that you can draw the right conclusions, increase the proportion of qualitatively perfect components and increase your productivity.

Proactively adapt the pressing process to changing material properties

Es gibt eine Vielzahl bewährter Lösungen, die während des Schneidvorgangs produktions- und qualitätsrelevante Daten erfassen können. Aber sobald die geschnittenen Platinen gestapelt oder vermischt werden, können Materialunterschiede meist nicht mehr erkannt und einzelnen Bauteilen zugeordnet werden.

With evoTrQ you make these differences traceable by analyzing production data and detect changes in component-related material properties early on.
The predictive component recognition with evoTrQ helps to adapt plant settings for the pressing process to changing material properties in time and to increase efficiency and quality.


Creates the right starting points

evoTrQ provides useful optimization tools for the work steps after the manufacturing process. If a faulty component is detected during subsequent processing, a considerable number of identical parts in the warehouse must be checked for similar defects, which usually requires an enormous amount of time and money.

evoTrQ creates the possibility to identify affected components precisely. With the help of collected production data you can significantly limit the number of parts to be inspected. This allows you to reduce your quarantine stock and save valuable working time.

Information Module description

evoTrQ - Component Tracking - Your Complete Solution to Industry 4.0

evoTrQ - Dashboard

Through our development work we were able to make our evoTrQ dashboard quickly tangible. How fast? You can find out in this video.

Dashboards in evoTrQ are implemented as websites and are fed by the central evoTrQ backend. This has the advantage that we can display all information available on our servers. On the other hand, all data must also be sent from the evoTrQ machine interface to our cloud backend and back to the browser that displays the dashboard.

In this video we use a simulation program to display measurements coming from a coil cutting machine. The data is sent to the telemetry collection (an Azure IoT Hub), processed and sent back to the browser. This data transfer usually takes less than 300 ms.

evoTrQ Savings potential

The company evopro is a system supplier and integrator and certainly has some experience in the press shop environment by now. However, it is also clear that we ourselves are not a press shop operator and therefore do not know every detail about press shop processes, let alone the costs for certain processes, components or even certain qualifications. We have invented the values in the following examples, respectively estimated them to the best of our knowledge and belief. Every reader who has better knowledge about them may replace the values with the right ones if they are wrong. We believe, however, that we have taken a relatively conservative approach with our assumptions.