Bringing the Internet of Things along the manufacturing line: A case study in controlling industrial robot and monitoring energy consumption remotely

Brizzi, Paolo; Conzon, Davide; Khaleel, Hussein; Tomasi, Riccardo; Pastrone, Claudio; Spirito, A. M.; Knechtel, M.; Pramudianto, Ferry; Cultrona, Pietro

doi:10.1109/etfa.2013.6647947

Cited by 34 publications

(33 citation statements)

References 10 publications

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“…Thirty percent of the total energy consumption by machine tools is consumed while they are in stand-by mode [26]. Fysikopoulos et al have taken up this challenge and developed a generalized approach to manufacturing energy efficiency based on a machine-level study [27], while Brizzi et al present a case study on the remote monitoring of robot energy consumption, demonstrating the capability of intelligent applications for managing manufacturing processes [28]. An impressive example for more energy efficiency based on process optimization is presented in [29,30], where an algorithm is introduced that allows reducing energy consumption for industrial robots up to 30% by adapting acceleration and deceleration behavior, without substituting hardware or negative consequences on the production rate.…”

Section: Sustainable Energymentioning

confidence: 99%

More Sustainability in Industry through Industrial Internet of Things?

2018

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Industrial production plays an important role for achieving a green economy and the sustainable development goals. Therefore, the nascent transformation of industrial production due to digitalization into a so-called Industrial Internet of Things (IIoT) is of great interest from a sustainable development point of view. This paper discusses how the environmental dimension of a sustainable development can potentially benefit from the IIoT-focusing especially on three topics: resource efficiency, sustainable energy and transparency. It presents a state of the art literature analysis of IIoT-enabled approaches addressing the three environmental topics. This analysis is compared with the findings of a survey among Chinese industrial companies, investigating the sustainability-related expectations of participants coming along with the implementation of IIoT solutions. China has been chosen as a case study because it brings together a strong industrial sector, ambitious plans regarding industrial digitalization and a high relevance and need for more sustainability. The survey was conducted with the means of a questionnaire which was distributed via email and used for direct on-site interviews. It focused on large and medium sized companies mainly from Liaoning Province and had a sample size of 109 participants.

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Section: Sustainable Energymentioning

confidence: 99%

More Sustainability in Industry through Industrial Internet of Things?

2018

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“…29 Shrouf and Miragliotta discuss more generally how established Internet of Things (IoT) technologies can be used to improve energy management in single-item production, 30 while Brizzi et al present a case study on the remote monitoring of robot energy consumption, demonstrating the capability of intelligent applications for managing manufacturing processes. 31 On the methodological level Chu et al introduce a future paradigm called Manufacturing for Design which uses hybrid manufacturing and smart factory as underlying technologies. 32 Zhao et al analyse the sustainability impact of manufacturing by introducing a new information model for product lifecycle management that integrates an energy simulation framework.…”

mentioning

confidence: 99%

Sustainability aspects of a digitalized industry – A comparative study from China and Germany

Beier

Niehoff

Ziems

et al. 2017

Int. J. of Precis. Eng. and Manuf.-Green Tech.

188

115

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Industrial production is currently undergoing a fundamental transformation, leading towards a digitalized and interconnected industrial production, which is subsumed under the term Industrial Internet (of Things) or Industrie 4.0. This paper discusses the changes that digitalization is expected to bring about in the industrial sector by comparing a highly industrialized (Germany) with a major emerging industrial economy (China). We conducted two empirical surveys asking manufacturing companies from different sectors in Germany and China respectively, how they expect the digitalization of their processes will affect them. Both questionnaires addressed the future of work in production and the future of production itself. The main contribution of this paper is its empirical investigation of how the digitalization of industry is likely to affect sustainability aspects of manufacturing companies in two countries with very different industrial structures. Our findings suggest that this transformation will not only impact the ecological dimension (resource efficiency, renewable energy), but that the technical transformation is likely to be accompanied by social transformations.The findings of this paper will help decision-makers in the political sphere to anticipate and shape pathways towards a more sustainable future in the industrial sector.

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“…From perspective of IoTPS (Internet of Things People and Services), the role of MDD plays in IoT development is discussed and the quantified benefit is evaluated [132,219]. To tame the complexity and to easy the communication between teams from different background, we believe that MDE will be the mainstream to develop the CPS.…”

Section: Mde Based Vandv For Dependable Self-managing Cpsmentioning

confidence: 99%

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

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Though Cyber Physical Systems (CPS) become very popular in last the decade, dependability of CPS is still a critical issue and related survey is rare. We try to spell out the jigsaw of technologies and figure out the technical trends of dependable self-managing CPS. This survey first recalls the motivation and the similar concepts. By analyzing four generic architectures, we summarize the common characteristics and related assurance technologies, and propose a more generic environment-in-loop processing flow of CPS and a formal interaction flow between physical space and cyber space. Further, the similarity between correctness and dependability is formally analyzed and the new five research questions of dependable self-managing CPS are presented. Then we review the critical technologies and related correctness verification & validation (V&V) methods, the architectures for dependable self-managing CPS. Further, the detail dependability management and V&V technologies are surveyed, which covers the areas of running-time fault management methods and whole life cycle V&V technologies, maintenance and available tool sets. For holistic CPS development, Modeling techniques and MDE (model driven engineering) based V&V methods are analyzed in detail. Then we complete the jigsaw of technologies and figure out the missing part. Further, we propose the technical challenges and the further direction. To our best knowledge, this is the first comprehensive survey on dependable self-managing CPS development and evaluation.

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Bringing the Internet of Things along the manufacturing line: A case study in controlling industrial robot and monitoring energy consumption remotely

Cited by 34 publications

References 10 publications

More Sustainability in Industry through Industrial Internet of Things?

More Sustainability in Industry through Industrial Internet of Things?

Sustainability aspects of a digitalized industry – A comparative study from China and Germany

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

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