Equipment set TP 260.v1 – Advanced level: digitalization in pneumatics

Equipment set TP 260.v1 – Advanced level: digitalization in pneumatics

Are you ready for digitalization?

Digitalization is transforming the working environment of many traditional industrial professions and trades. The expectations being placed on students and apprentices are changing as a result.

By expanding the equipment set "TP 201 – basic level electropneumatics" with "TP 260 Digitalization in pneumatics", you take this change into account in the curricula.

Using a practical example from the field of maintenance, you prepare your students and apprentices for digitalization and make them fit for the future.

Digitalization – is it relevant to me?

Information technology is being used more and more to improve the effectiveness of industrial processes.

Indicators for the effectiveness of production resources include:

  • System availability
  • Process speed
  • Process reliability
  • Efficiency

Permanent condition monitoring generates these indicators. Predictive maintenance prevents unscheduled downtime, poor product quality, inefficiency, and energy wastage.

A prerequisite for this is intelligent communication between the machine and the operator/maintenance technician.

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The learning path at a glance

  • The process is set up and started. A new aspect is network technology for communication.
  • Sensor data is recorded and visualized in a decentralized manner. Relevant process values can be derived from this data.
  • Limit values are determined and appropriate information provided when these are not met or are exceeded.
  • Using his/her mobile device, the operator/maintenance technician can receive up-to-date information on the system status via web service at any time.
  • In the event of critical errors, the operator/maintenance technician is actively sent notifications to his/her smartphone, for example.
  • To optimally prepare for the pending maintenance work, information stored in relation to error symptoms can be retrieved via the web service.
  • Play with the process to generate error symptoms.
  • The effectiveness of communication between human and machine is tested and improved further

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