An approach to net-centric control automation of technological processes within industrial IoT systems

Voinov, Nikita; Chernorutsky, Igor; Дробинцев, Павел; Kotlyarov, Vsevolod

doi:10.1007/s40436-017-0195-4

Cited by 11 publications

(5 citation statements)

References 11 publications

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“…The [57] introduced the Offshore Robotics for the Certification of Assets or ORCA Hub simulator for training and testing human-machine collaboration solutions that unify three types of homemade systems on the marine digital twin platform. Voinov et al [58] studied a method for providing reliable management of complex IoT systems. Uhlemann et al [59] studied the concept of a learning factory based on the advantages of real-time data acquisition and subsequent simulation data processing.…”

Section: Digital Twin In Product Servicementioning

confidence: 99%

Digital twin-based sustainable intelligent manufacturing: a review

2020

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As the next-generation manufacturing system, intelligent manufacturing enables better quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept of sustainability is receiving increasing attention, and sustainable manufacturing is evolving. The digital twin is an emerging technology used in intelligent manufacturing that can grasp the state of intelligent manufacturing systems in real-time and predict system failures. Sustainable intelligent manufacturing based on a digital twin has advantages in practical applications. To fully understand the intelligent manufacturing that provides the digital twin, this study reviews both technologies and discusses the sustainability of intelligent manufacturing. Firstly, the relevant content of intelligent manufacturing, including intelligent manufacturing equipment, systems, and services, is analyzed. In addition, the sustainability of intelligent manufacturing is discussed. Subsequently, a digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology. Finally, combined with the current status, the future development direction of intelligent manufacturing is presented.

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Section: Digital Twin In Product Servicementioning

confidence: 99%

Digital twin-based sustainable intelligent manufacturing: a review

2020

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“…Once trusted connectivity is assured, the video starts streaming from the camera to the Fog node for AI processing (4). The processing output is stored according to the application's needs on trusted Cloud storage (5).…”

Section: Architecturementioning

confidence: 99%

“…Today, there is an increasing trend to build smart applications in various domains, such as smart homes, smart cities and communities, industry 4.0, robotics and similar [1,2,3,4,5]. The development of smart applications in the construction sector motivates this study [6,7].…”

Section: Introductionmentioning

confidence: 99%

Trust management in a blockchain based fog computing platform with trustless smart oracles

Kochovski

Gec

Stankovski

et al. 2019

Future Generation Computer Systems

155

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Trust is a crucial aspect when cyber-physical systems have to rely on resources and services under ownership of various entities, such as in the case of Edge, Fog and Cloud computing. The DECENTER's Fog Computing Platform is developed to support Big Data pipelines, which start from the Internet of Things (IoT), such as cameras that provide video-streams for subsequent analysis. It is used to implement Artificial Intelligence (AI) algorithms across the Edge-Fog-Cloud computing continuum which provide benefits to applications, including high Quality of Service (QoS), improved privacy and security, lower operational costs and similar. In this article, we present a trust management architecture for DECENTER that relies on the use of blockchain-based Smart Contracts (SCs) and specifically designed trustless Smart Oracles. The architecture is implemented on Ethereum ledger (testnet) and three trust management scenarios are used for illustration. The scenarios (trust management for cameras, trusted data flow and QoS based computing node selection) are used to present the benefits of establishing trust relationships among entities, services and stakeholders of the platform.

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“…Lee et al [2] developed an industrial IoT-based smart hub that served as a gateway for existing IoT devices and managed IoT devices at distributed locations, such as smart factories, warehouses, and offices. In smart factories, common objects equipped with some augmented functions, attributes, intelligence, etc., become smart objects (SOs), which are primarily elements built into the structure of a smart environment [3,4]. In such environments, the SOs are supposed to seamlessly react to changes occurring within the surrounding smart environment and interactions from users to provide useful and customized services [5,6].…”

Section: Introductionmentioning

confidence: 99%

3D bare-hand interactions enabling ubiquitous interactions with smart objects

2020

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Ubiquitous augmented reality (UAR) implementation can benefit smart shop floor operations significantly. UAR from a user's first-person view can support and provide the user with suitable and comprehensive information without him/her being distracted from ongoing tasks. A natural hand-based interaction interface, namely, a mobile bare-hand interface (MBHI), is proposed to assist a user in exploring and navigating a large amount of information for a task in the user's first-person view. The integration of a smart shop floor and UAR-based MBHI is particularly challenging. A real shop floor environment is composed of challenging conditions for the implementation of UAR, e.g., messy backgrounds and significant changes in illumination conditions. Meanwhile, the MBHI is required to provide precise and quick responses to minimize the difficulty of a user's task. In this study, a wearable UAR system integrated with an MBHI is proposed to augment the shop floor environment with smart information. A case study is implemented to demonstrate the practicality and effectiveness of the proposed UAR and MBHI system. Keywords Augmented reality (AR) Á Mobile bare-hand interaction (MBHI) Á Smart objects (SOs) Á Manufacturing shop-floor

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An approach to net-centric control automation of technological processes within industrial IoT systems

Cited by 11 publications

References 11 publications

Digital twin-based sustainable intelligent manufacturing: a review

Digital twin-based sustainable intelligent manufacturing: a review

Trust management in a blockchain based fog computing platform with trustless smart oracles

3D bare-hand interactions enabling ubiquitous interactions with smart objects

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