Reconfigurable Framework for Data Extraction Using Interoperable Brokers in Manufacturing

Abstract Technology is an integral part of society and has undergone significant evolution across various domains, such as production and recreation, leading to the emergence of heterogeneous systems. These diverse systems often need to communicate and interact with one another to fully leverage their capabilities and resources, aiming for maximum efficiency. One effective method to achieve this is through the use of a message broker, a tool that facilitates communication between multiple heterogeneous systems. However, setting up message brokers can be complex, requiring access to multiple systems for configuration and lacking automation tools to streamline the process. The proposed solution involves creating a tool that can be instantiated on different machines to control the deployment, configuration, and usage of any message broker. Early results are promising, demonstrating enhanced data collection from industrial robots and improved connectivity between different message brokers.

Authors

Institutions

Publication Details

Journal
SN Computer Science
Published
2024-08-16
DOI
https://doi.org/10.1007/s42979-024-03124-5
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reconfigurable Framework for Data Extraction Using Interoperable Brokers in Manufacturing

André Dionísio Rocha, Nelson Freitas, José Barata, Duarte Alemão et al.
SN Computer Science
Digital Transformation in Industry
article

Reconfigurable Framework for Data Extraction Using Interoperable Brokers in Manufacturing

André Dionísio Rocha, Nelson Freitas, José Barata, Duarte Alemão, Fábio M-Oliveira
article en

Abstract

Abstract Technology is an integral part of society and has undergone significant evolution across various domains, such as production and recreation, leading to the emergence of heterogeneous systems. These diverse systems often need to communicate and interact with one another to fully leverage their capabilities and resources, aiming for maximum efficiency. One effective method to achieve this is through the use of a message broker, a tool that facilitates communication between multiple heterogeneous systems. However, setting up message brokers can be complex, requiring access to multiple systems for configuration and lacking automation tools to streamline the process. The proposed solution involves creating a tool that can be instantiated on different machines to control the deployment, configuration, and usage of any message broker. Early results are promising, demonstrating enhanced data collection from industrial robots and improved connectivity between different message brokers.

SN Computer ScienceVol. 5(7)
Universidade Nova de Lisboa (PT)
Universidade Nova de Lisboa
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reconfigurable Framework for Data Extraction Using Interoperable Brokers in Manufacturing — André Dionísio Rocha, Nelson Freitas, et al. · SN Computer Science (2024) | TGRS Research Map | TGRS