OffTech SSC

Offset-Technology for Semantic Service Cockpits

The objective of OffTech-SSC is a feasibility study which evaluates the development of a semi-automatic Offset-Technology which can be coupled with so called “Semantic Service Cockpits”. A Semantic Service Cockpit (SSC) consists of a semantic service database, a knowledge database that compiles all the information required for maintenance with the previously implicit experience based on the maintenance philosophy. For enabling predictive maintenance, it allows analysing highly automatized production processes of automotive suppliers

Challenge

Offtech-SSC focusses small factories with machines older than 12 years. Typically, they do not have any Internet access, WLAN or other connectivity features. Thus, high-end IoT infrastructures nor industry 4.0 solutions of automatization companies won’t make any sense. Consequently, here only works a very practical approach. As practical problem stands the production line of a rubber factory. In this connection, the manufacture of the most products there is subject to a manufacturing process, whereby the final characteristics of the product features are achieved by two precess steps:
(1) Injection moulding with subsequent visual inspection, and
(2) Tempering/annealing with subsequent measurement to ensure compliance with the product specification.

Implementation

The impementation stated the feasibility in practice. Therefore, for a selected machine which is afflicted with typical problems to solve, the implementation of a “offset” package standing for a concept prototype has been simulated. This simulation has been evaluated with respect to process relevance and practical use. Therefore, a system for sensor data acquisition (8 channels), ready to be integrated within a LAN/4G communication and a cloud connection (Microsoft Azure), was the technology base. The concrete set of sensors, actuators and interfaces will be defined within the project..

OffTechSSC: Data Analytics Process Pipeline for Injection Molding
OffTechSSC: Temperature Data Visualization for the Injection Molding

Results

The development of a semi-automatic Offset-Technology which can be coupled with so called “Semantic Service Cockpits” has been theoretically as well as practically evaluated. The experiment revealed a Semantic Service Cockpit consisting of a semantic service database, a knowledge database that compiles all the information required for maintenance with the previ-ously implicit experience based on the maintenance philosophy. For enabling predictive maintenance, it allows analysing highly automatized production processes. In summary, following project objectives have been achieved within feasibility study:
(1) Evaluation of a fully-automatized IoT platform
(2) Evaluation of the special demands of small-batch production
(3) Development of a concept for an Offset-Technology for small-batch production
(4) Exploitation and dissemination plan for a future OffTech-SSC product.

Technologies involved

  • IoT & wearables
  • Big Data & AI
  • Simulation & modelling
  • Predictive Maintenance and Production

Vertical sectors adressed

  • Chemicals
  • Plastics & Rubber

Project consortium

Pumacy Technologies AGGermanyPumacy Technologies Logo
KLS Ljubno d.o.o.SloveniaKLS Ljubno Logo
MaTec Gummiwerk GmbHGermanyMaTec Gummiwerk Logo
Micromega Dynamics SABelgiumMicromega Dynamics Logo

Credits

ProgramClusterProjectCoordinator
European Union FlagSecured Communicating Solutions ClusterIoT4Industry LogoPôle MecaTech Logo
EU H2020-INNOSUP-1-2017Secured Communicating Solution ClusterIoT4IndustryPôle MecaTech (France / Belgium)