Abstract: We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber-Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0 (I5.0) era goes a step beyond, aiming to build cross-border, sustainable, and circular value chains benefiting society as a whole. An enabler of this vision is the integration of data and AI in the industrial decision-making process, which does not exhibit yet a coordination between the Operation and Information Technology domains (OT/IT). This work proposes an architectural approach and an accompanying software prototype addressing the OT/IT convergence problem. The approach is based on a two-layered middleware solution, where each layer aims to better serve the specific differentiated requirements of the OT and IT layers. The proposal is validated in a real testbed, employing actual machine data, so showing the capacity of the components to gracefully scale and serve increasing data volumes.
For the complete research, please read the article available here.
If you use this code please cite:
@Article{s22010190,
author = {Patera, Lorenzo and Garbugli, Andrea and Bujari, Armir and Scotece, Domenico and Corradi, Antonio},
title = {A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications},
journal = {Sensors},
volume = {22},
year = {2021}.
number = {1},
article-number = {190},
url = {https://www.mdpi.com/1424-8220/22/1/190},
issn = {1424-8220},
doi = {10.3390/s22010190}
}
This software has been tested with Apache Kafka 6.2.0 and ZooKeeper 6.2.0. All required software can be run using Docker images:
- confluentinc/cp-kafka:6.2.0
- confluentinc/cp-zookeeper:6.2.0
This project uses json-c and RdKafka dependences that must be installed by using vcpkg tool.
vcpkg install json-c
vcpkg install RdKafka
Then the software can be build by using cmake
cmake --build .