Digital retrofit

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The digital retrofit is a concept according to which old machines and systems are integrated into modern IT systems. This is a modern condition monitoring and perspective preventive maintenance (predictive maintenance) possible. The digital retrofit is a special form of retrofit (English for retrofitting, retrofitting; see also refurbishment ) in the context of Industry 4.0 and the Internet of Things (IoT).

idea

Industry 4.0 and IIoT (industrial internet of things) describe future visions of modern production. Many machines and systems, however, have lifetimes of many decades. The digital retrofit describes an extension of the classic retrofit, how old existing machines can be subsequently networked and digitized. As part of the federal government's digital strategy and Industry 4.0 platform, the so-called dual strategy has already been formulated: companies should use the possibilities of Industry 4.0 internally and at the same time think about new products and services.

Use

  • Extension of the service life of the machines and systems
  • Improvement of product quality
  • Improvement of production output
  • Lowering production costs
  • Reduction of downtimes
  • Environmental protection by extending the machine life

Action

  1. Networking the machine
  2. If necessary, retrofitting of required sensors
  3. Data collection (collecting sensor data)
  4. Data evaluation (Analytics)
  5. Deriving measures

hardware

Additional hardware is often required for the digital retrofit. This is mostly due to the fact that the existing and installed PLC controls should not or must not be changed. In these cases, so-called IoT gateways are often retrofitted: often Linux- based embedded computers that allow easy communication with the machine. Examples:

literature

Individual evidence

  1. Home. Retrieved August 22, 2017 .
  2. Implementation recommendations for the future project Industry 4.0 (PDF) Federal Ministry of Education and Research. Retrieved March 13, 2019.
  3. Industrial IoT - PC-based automation - Siemens. Retrieved August 25, 2017 .
  4. MICA Computing System - HARTING MICA Computing System. Retrieved August 22, 2017 .