Machine data collection

Machine data collection

Machine data collection

Machine data collection (MDC) describes the interface between production technology machines and information processing. The data from the MDE can flow directly as parameters into the machine control and can also be used as a data source of the shop floor data collection for further purposes, e.g. for statistical process control (SPC) and for planning and controlling production orders.

Machine data is basically all information accumulating at an industrial machine. There are two basic types: process data and product data. Process data includes the information necessary for the operation of the machine and directly generated by the operation. Product data is measured at the processing units and provides valuable information about the production process in connection with the operation of a plant. With regard to the quality of a production, data such as number of pieces, weight, thickness or temperature are essential.

Machine data collection Machine data collection
© https://pixabay.com/de/illustrations/industrie-4-0-netz-netzwerk-punkte-2741774/

Prerequisites for use

Networking

In order to operate automated machine data collection, the basic prerequisite is continuous networking (IP-based networking). Machines and sensors must be equipped with network components that allow connection to the network.

Machine control

  • Microcontroller in the machine control system or as a separate unit with connected sensors.
  • Appropriate industrial interfaces and software tools, such as an ERP, APS or MES system.
  • Alternatively, machine data can also be recorded by a control-independent sensor system directly on the machine or manually.
  • The entire range of analogue and digital measurement technology is used to record the values. Optical measuring methods are indispensable for collecting processing-oriented information.

Regional experts

Prof. Dr.-Ing. Michael Bühren (MIB)

  • Industry 4.0 technologies in practical application
  • Simulation and virtualisation
  • Robotics with MRK capabilities
  • Data acquisition using OPC UA
  • Data and image processing using machine learning
  • Michael.Buehren@w-hs.de

Start-ups

ENLYZE GmbH
ENLYZE now consists of 13 engineers, software developers, designers, physicists and business economists and develops data-driven solutions for the manufacturing industry to optimise production and planning.
https://www.enlyze.com/

ia: industrial analytics
The company deals with Iiot Retrofitting and offers a complete solution for integrating performance management in production plants - from data acquisition to visualisation.
www.industrial-analytics.net

Best Practices

NFT Automates GmbH
NFT offers comprehensive data management from research and development to technical consulting and project management.
https://nft-automates.de/