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..
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
Vertical sectors adressed
Project consortium
| Pumacy Technologies AG | Germany |  |
| KLS Ljubno d.o.o. | Slovenia |  |
| MaTec Gummiwerk GmbH | Germany |  |
| Micromega Dynamics SA | Belgium |  |
Credits
| Program | Cluster | Project | Coordinator |
|---|---|---|---|
 |  |  |  |
| EU H2020-INNOSUP-1-2017 | Secured Communicating Solution Cluster | IoT4Industry | Pôle MecaTech (France / Belgium) |