iPaaS in Agriculture 4.0: An Industrial Case - Archive ouverte HAL Access content directly
Conference Papers WETICE'2020: 29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises Year : 2020

iPaaS in Agriculture 4.0: An Industrial Case

, (1) , (1)
1

Abstract

Current automation approaches in the Industry 4.0 have generated increased interest in the utilization of Integration Platforms as a Service (iPaaS) cloud architectures in order to unify and synchronize several systems, applications, and services in order to build smart solutions for automated and adaptive industrial process management. Existing iPaaS solutions present several out-of-the-box connectors and automation engines for easier integration of customers' projects, but show issues regarding overall adaptation outside their scope, brand locking, and occasionally high prices. Moreover, existing platforms fail to respond adequately to the needs of deploying multiple decision models capable of offering automated or semi-automated management of processes, thanks to the integration of the large diversity of data and event sources as well as the different physical or logical action entities. With the popularization of open-source software and applications such as BPM Engines, Machine Learning libraries, and Integration suites and libraries, it is possible to develop a fully customizable and adaptable, open-source iPaaS that can be used both in and outside industrial applications. In this paper, we propose a generic iPaaS architecture implemented on the basis of several open source solutions boasting integration, interoperability, and automated decision-making capabilities in the domain of Agriculture 4.0. A proof-of-concept based on these solutions is presented, as well as a case study on MAÏSADOUR's grain storage process with a comparison with the currently human-operated tasks.
Fichier principal
Vignette du fichier
iPaaS in Agriculture 4.0 - An Industrial Case.pdf (681.07 Ko) Télécharger le fichier
Vignette du fichier
image.png (6.31 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02958574 , version 1 (07-10-2020)

Identifiers

Cite

Rafael Huang Cestari, Sebastien Ducos, Ernesto Expósito. iPaaS in Agriculture 4.0: An Industrial Case. WETICE 2020 - 29th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2020, Bayonne, France. ⟨hal-02958574⟩
116 View
218 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More