Distributed Sensing and Control Architecture for Automotive Factory Automation

Cai, Ningxu; Brennan, Robert W.

doi:10.1007/978-3-642-03668-2_16

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…That means that the 28 per cent of the papers considers two or more theoretical disciplines as source for research; which means that the majority of papers concentrates on one specific discipline. The maximum number of domains found for a single paper is four (Cai and Brennan, 2009); there are very few papers that have used three disciplines as underpinning theory (Camarinha‐Matos and Afsarmanesh, 2003; Choinski et al , 2007; Conway et al , 2008; Dekkers, 2009b; Wang, L. et al , 2009; Yang et al , 2011; Zaletelj et al , 2008; Zhao et al , 2007). Consequently, most interdisciplinary contributions to manufacturing networks rely on one original outside discipline for either developing solutions or advancing theoretical insight.…”

Section: Results Of Literature Reviewmentioning

confidence: 99%

Appraising interdisciplinary contributions to theory for collaborative (manufacturing) networks

Dekkers

Kühnle

2012

Journal of Manufacturing Technology Management

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PurposeProgress in theory building in the field of collaborative networks in manufacturing is preponderantly seen in contributions from disciplines outside manufacturing science. Interdisciplinary research is one way of accelerating the development of appropriate theory for this emerging domain where industrial practice has moved beyond the state of the art of scientific knowledge for establishing workable, competitive solutions. The purpose of this paper is to examine to what extent interdisciplinary research has contributed to a better understanding of collaborative (manufacturing) networks.Design/methodology/approachTo find out more about provenances of on‐going studies, to identify clusters of contributions and to provide direction for future work of researchers in this domain, publications of the past 22 years have been evaluated. To retrieve these contributions, a structured literature review has been undertaken by applying keywords to selected databases and using a strictly defined stepwise procedure. In total, 202 publications of all kinds have been evaluated.FindingsFrom the analysis of the results, it appears that most interdisciplinary contributions to collaborative (manufacturing) networks rely on one original outside discipline for either developing solutions or advancing theoretical insight. Consequently, and after further analysis, it seems that researchers in collaborative networks hardly resort to multi‐disciplinary approaches, unless “natural”; further advances might arrive from stimulating these multi‐disciplinary avenues rather than sticking to more mono‐disciplinary, and less risky, takes on both applications and theoretical insight. A more detailed investigation of the value of contributions reveals that efforts to make interdisciplinary advances are either difficult or limited. Also, the findings indicate that researchers tend to follow a more “technical” approach to decision making by actors in networks rather than searching for a shift in paradigm.Originality/valueWhile setting out these directions for future research and guiding research, this first‐of‐its‐kind review introduces the collaboration model as a systematic approach to collaborative (manufacturing) networks. This model might serve as a reference model to integrate disciplines for addressing the characteristics of Collaborative Networks. Its use in the review led to the finding that typical traits of networks, such as changeability, supplementary assets and decentralisation of decision making, are under‐researched.

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Section: Results Of Literature Reviewmentioning

confidence: 99%

Appraising interdisciplinary contributions to theory for collaborative (manufacturing) networks

Dekkers

Kühnle

2012

Journal of Manufacturing Technology Management

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“…They are designed for complex low-level device execution and control. The basic thoughts of using function block for WSN implementation have been introduced in our previous work [21].…”

Section: Intelligent Middleware Architecturementioning

confidence: 99%

Application-Oriented Intelligent Middleware for Distributed Sensing and Control

Cai

Gholami

Yang

et al. 2012

IEEE Trans. Syst., Man, Cybern. C

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In this paper, wireless sensor networks are proposed as a distributed sensing and control (DSC) approach for productivity and safety improvement of harsh and dynamic industrial systems, such as factory automation, oil and gas industries, and wind farms. The proposed approach focuses on DSC middleware, which considers both application requirements and network resource constraints. By embedding complex application knowledge at different levels and configuring network topology in real time, the DSC system can accomplish effective task assignment, optimal network deployment, and device-level intelligence. IEC 61499 function blocks and intelligent agents are employed as modeling tools for the middleware implementation.Index Terms-Distributed sensing and control (DSC), IEC 61499 function blocks, intelligent agents, middleware, wireless sensor networks (WSNs).

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“…In this regard, there is a lack of structural modeling and design flow of IWSAN when it is integrated into the distributed manufacturing systems. The framework of modeling WSN using IEC 61499 function blocks is proposed in [23] where a generic modeling approach with different layers has been discussed. However, the performance of the system as well as a test-bed has not been evaluated.…”

Section: Introduction (Heading 1)mentioning

confidence: 99%

An energy aware design flow of distributed industrial wireless sensor and actuator networks

Abrishambaf

Cabral

Monteiro

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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Wireless Sensor Network (WSN) is an emerging technology which has been employed recently in various applications such as healthcare systems, environmental monitoring, military and industrial applications. This is due to the easy deployment and (re)configuration of the sensor nodes in the environment. It also has the potential of being integrated into the distributed manufacturing systems particularly when sensors and actuators are combined to form a wireless sensor and actuator network. IEC 61499 function block standard has been employed recently in order to model the distributed control systems. In this paper, an energy aware design flow and modeling approach for the development of industrial wireless sensor and actuator networks using IEC 61499 standard will be presented and by utilizing the Petri net as an analytical tool for event-based systems, the performance of the structural and behavioral models will be evaluated. Several factors such as reachability, coverability, transient and steady state analysis will be discussed in order to demonstrate the controllability of the proposed design flow.

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Distributed Sensing and Control Architecture for Automotive Factory Automation

Cited by 5 publications

References 10 publications

Appraising interdisciplinary contributions to theory for collaborative (manufacturing) networks

Appraising interdisciplinary contributions to theory for collaborative (manufacturing) networks

Application-Oriented Intelligent Middleware for Distributed Sensing and Control

An energy aware design flow of distributed industrial wireless sensor and actuator networks

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