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ObjectiveS

  • ISN4ZDM contributes towards the implementation of an Industry 4.0 suite for developing zero-defect solutions by providing social networking as well knowledge-based services.
  • ISN4ZDM contributes to improving product quality along the manufacturing value chain by enabling knowledge sharing, sharing of best practices and lessons learned between different roles (e.g. product quality engineer, manufacturing quality engineer, production / maintenance managers / operators, etc.).
RAPpID Home Page
ISN4ZDM Architecture

ARCHITECTURE

  • Integration with ZDMP
  • Docker and virtualization technlogies
  • RAPpID Industrial Social Networking solution
  • Knowledge Base
  • Advanced Dashboards

ZDMP integrated components

  • ZDMP Portal
  • ZDMP Marketplace
  • ZDMP Secure Authentication and Authorisation (SA&A)
  • ZDMP Data acquisition
  • ZDMP Service and message bus
ZDM-DBoard (Dashboard) view
    • ZDM-DBoard (Dashboard) is the module where the user can read the comments and view the overall information of each dashboard
    • In RAPpID, using the new ZDM-DBoard module, a new dashboard is can be created. The users can access the dashboard and provide comments based on the dashboard IoT data visualizations.
Dashboards’ management panel
New KBUI module: KB-UI SPARQL Query search
    • ZDM-KBUI is the user-interface on top of the ZDM-KB module, accessible through RAPpID. A user can search the ZDM-KB by querying it in one of two ways; by using SPARQL
    • Or by selecting from a drop-down list of machines, dashboards, or users
New KBUI module: KB-UI Advanced Search
(c)
New KBUI module: KB-UI Graph viewer
    • Users can also open a graphical representation of the data requested through the ‘Open Viewer’ button

Our Blogs

Publishable summary

July 12, 2022 No Comments

Zero Defect Manufacturing (ZDM) is intrinsically a multi-disciplinary approach. It requires parallel progress of different technological pillars, including sensor devices, quality inspection systems, industrial informatics,

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This project has received cascading funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825631.