The paper presents the realization of a control-loop performance monitoring system operating in a cloud as a single unity for the global supervision of data coming from various industrial plants located in different areas. This is a desirable solution for many companies, because of the costs of local installations (systems, human resources, and their maintenance and upgrading) and is made possible by available Industry 4.0 technologies, although some aspects are worthy of deeper investigation, depending on specific industrial realities. The monitoring system (PCU, Plant Check Up) is described in its basic components and its evolution toward the cloud-based configuration. The entire architecture, as well as the solutions adopted for data acquisition from the field, transmission to the cloud, and web app features, which allow a full remote monitoring, are illustrated. Technical details about the application on a pilot-scale plant are given, and results for significant cases and different types of loop and actuator status are presented.

A Cloud-Based Monitoring System for Performance Assessment of Industrial Plants

Bacci di Capaci, Riccardo
Primo
;
Scali, Claudio
Secondo
2020-01-01

Abstract

The paper presents the realization of a control-loop performance monitoring system operating in a cloud as a single unity for the global supervision of data coming from various industrial plants located in different areas. This is a desirable solution for many companies, because of the costs of local installations (systems, human resources, and their maintenance and upgrading) and is made possible by available Industry 4.0 technologies, although some aspects are worthy of deeper investigation, depending on specific industrial realities. The monitoring system (PCU, Plant Check Up) is described in its basic components and its evolution toward the cloud-based configuration. The entire architecture, as well as the solutions adopted for data acquisition from the field, transmission to the cloud, and web app features, which allow a full remote monitoring, are illustrated. Technical details about the application on a pilot-scale plant are given, and results for significant cases and different types of loop and actuator status are presented.
2020
Bacci di Capaci, Riccardo; Scali, Claudio
File in questo prodotto:
File Dimensione Formato  
submitted_post_print.pdf

accesso aperto

Descrizione: bozza finale post-referaggio
Tipologia: Documento in Post-print
Licenza: Creative commons
Dimensione 6.51 MB
Formato Adobe PDF
6.51 MB Adobe PDF Visualizza/Apri
bacci-di-capaci-scali-2020-a-cloud-based-monitoring-system.pdf

accesso aperto

Tipologia: Versione finale editoriale
Licenza: Creative commons
Dimensione 5.7 MB
Formato Adobe PDF
5.7 MB Adobe PDF Visualizza/Apri

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/11568/1027204
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 22
  • ???jsp.display-item.citation.isi??? 17
social impact