Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
SES 6.5: Smart Factories and Industrial IoT
Wednesday, 28/Jun/2017:
1:50pm - 3:10pm

Session Chair: Luca Pazzi
Location: Aula Q (first floor)

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75. An embedded database technology perspective in cyber-physical production systems

Andrea Bonci, Massimiliano Pirani, Sauro Longhi

Università Politecnica delle Marche, Italy

The goal of the paper is the proposition of an enabling technology for the control and optimization of cyber-physical production systems, oriented to the lightweight implementation of performance metrics methodology in a network of distributed devices. The database-centric perspective, applied to distributed devices, supports the adoption of well-known key performance metrics for viable lightweight control policies and optimization of complex scenarios in the factory of the future. An experiment of the technique on a real case data set is presented and analyzed.

1. Context related information provision in Industry 4.0 environments

Hendrik Unger, Frank Börner, Egon Müller

Technische Universität Chemnitz, Germany

In Industry 4.0 there are several fields of work. Next to Social Machines, Virtual Production, Smart Products and Global Facilities a main field is Augmented Operators. To be able to assist people in their work, it is necessary to reduce the amount of data that is needed to be perceived in any given moment. In current systems more and more data is generated from day to day and has to be evaluated to be helpful. For many tasks only a certain part of the general information flow is relevant. An information demand analysis can help reducing big data to smart data and identifying possible context key factors. Using such factors information can be categorized and provided when the context is right. This article shows the interpretation of several information demand analysis as well as the development of a demonstrator application for context related information provision based on the findings.

© 2017 The Authors. Published by Elsevier B.V.

Peer-review under responsibility of the scientific committee of the 27th International Conference on Flexible Automation and Intelligent Manufacturing.

355. From the Internet of Things to Cyber-Physical Systems: the Holonic Perspective

Luca Pazzi, Marcello Pellicciari

Unimore, Italy

The paper presents a distributed model for implementing Cyber-Physical Systems aimed at controlling physical entities through the Internet of Things. The model tames the inherent complexity of the task by a recursive notion of modularity which makes each module both a controller and a controlled entity. Each module hosts a state-based behaviour which is able to play alone both roles seamlessly and simultaneously. The controller part is implemented within the module through specific constructs, which are not visible when the module acts as a controlled entity. Vice versa, other constructs of the behaviour, which constitute its interface, allow to act upon it when the module plays the role of controlled entity. Controlled and controller modules communicate through events, grouped in different typologies according to the role they are called to implement. Through such events, modules receive commands and give feedback when controlled; vice versa when acting as controllers, they send commands and receive feedbacks to which react. The model thus allows to decomposes feedback loops by the modular structure. Modules are arranged along part-whole tree-like hierarchies which collectively constitute the system. Nodes which interact directly with the physical world are the leaves of such trees. Root and leaf nodes can be added in order to extend the system. The behaviour of each module is strictly local since it has visibility only on its controlled modules, but not on the module which controls it. Such locality and limited visibility increases the reusability and reduces the complexity of the module. Each behaviour can be directly checked at design time against temporal logic formulas related to the joint behaviour of its controlled entities. Once checked, the holon to which it belongs it can be composed into more complex holons preserving the validity of the formulas, thus encapsulating safety and liveness properties.

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