The Industry 4.0 paradigm has deeply changed classical manufacturing by introducing data-based analytics and decision-support strategies. At the state of the art, data used for manufacturing monitoring is mostly originated by sensors, that undergo a fusion step to align different data sources. However, this data is only relative to the monitored process, and it does not include the corresponding operating conditions and parameters, that are known by the Manufacturing Execution System (MES). Such information is currently either not included or labeled by hand, thus incurring in errors and limiting the amount of available labeled data. To overcome this issue and go beyond the sole data fusion of sensor data, this paper proposes an infrastructure that automatically label time series generated by sensors with information extracted from the MES, to achieve enhanced monitoring of the production process. The relevance of the proposed solution and the possibilities opened by its application are stressed with the application to a robotic arm.

A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring / Gaiardelli, Sebastiano; Dall’Ora, Nicola; Ponzio, Francesco; Fraccaroli, Enrico; Fummi, Franco; DI CATALDO, Santa; Vinco, Sara. - ELETTRONICO. - (2024). (Intervento presentato al convegno The 25th IEEE International Conference on Industrial Technology (ICIT 2024) tenutosi a Bristol (UK) nel 25-27 March, 2024).

A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring

Francesco Ponzio;Santa Di Cataldo;Sara Vinco
2024

Abstract

The Industry 4.0 paradigm has deeply changed classical manufacturing by introducing data-based analytics and decision-support strategies. At the state of the art, data used for manufacturing monitoring is mostly originated by sensors, that undergo a fusion step to align different data sources. However, this data is only relative to the monitored process, and it does not include the corresponding operating conditions and parameters, that are known by the Manufacturing Execution System (MES). Such information is currently either not included or labeled by hand, thus incurring in errors and limiting the amount of available labeled data. To overcome this issue and go beyond the sole data fusion of sensor data, this paper proposes an infrastructure that automatically label time series generated by sensors with information extracted from the MES, to achieve enhanced monitoring of the production process. The relevance of the proposed solution and the possibilities opened by its application are stressed with the application to a robotic arm.
File in questo prodotto:
File Dimensione Formato  
A_Data_Fusion_Service_Oriented_Infrastructure_for_Production_Line_Monitoring_ICIT.pdf

embargo fino al 04/04/2026

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 1.92 MB
Formato Adobe PDF
1.92 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2987564