Dispersed automation for industrial Internet of Things — An enabler for advanced manufacturing

Quirós, Gustavo; Cao, Diansong; Canedo, Arquimedes

doi:10.1109/coase.2017.8256113

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…The series of policy documents for the 'Internet + Advanced Manufacturing' to develop the Industrial Internet propose to vigorously develop intelligent manufacturing and accelerate the indepth integration of information and manufacturing technologies [17,18]. At present, China's industrial data acquisition technology and application are still in their infancy, and there are serious problems such as insufficient sensor deployment, a limited amount of collected data, low accuracy, and low efficiency [19,20]. In addition, practical problems such as the wide variety of industrial communication protocols, poor compatibility and interoperability are prominent.…”

Section: Introductionmentioning

confidence: 99%

Research on industrial Internet of Things and power grid technology application based on knowledge graph and data asset relationship model

Wang

Yang

2022

Applied Mathematics and Nonlinear Sciences

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Power grid data asset management, maintaining the health and integrity of physical assets, optimising the allocation of physical assets, dynamically monitoring the distribution and operation of physical assets, and predicting the investment scale of operation and maintenance and technological transformation are important issues faced by power grid companies. First, the existing literature in this paper is sorted out to define the concept and characteristics of data assets. Then, a training model based on a knowledge graph and data asset relationship model is proposed. At the same time, the key technologies of the Industrial Internet of Things and the theoretical model framework of power grid technology are proposed, including device access, protocol conversion, edge data processing, connectivity, the first entry of data and the rapid growth of data volume. Finally, experiments are carried out to verify the framework proposed in this paper. Experiments show that the research on industrial Internet of Things and power grid technology based on knowledge graphs and data asset relationship model is of great significance for enterprises to exert data value and promote the development of the digital economy.

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Section: Introductionmentioning

confidence: 99%

Research on industrial Internet of Things and power grid technology application based on knowledge graph and data asset relationship model

Wang

Yang

2022

Applied Mathematics and Nonlinear Sciences

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“…IoT Cloud based technology [9] [13] is almost prevalent in most diverse research sectors, including agriculture, healthcare, societal environment, smartcities, smart manufacturing [14] [18] [22] and so forth. Tens of thousands of researchers or industrialists, including startups, have invested research notions to inculcate the newer technologies on the existing solutions for reaping in profits or societal benefits.…”

Section: Introductionmentioning

confidence: 99%

IoT Blockchain Solution for Air Quality Monitoring in SmartCities

Benedict¹,

Rumaize²,

Kaur³

2020

Preprint

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IoT cloud enabled societal applications have dramatically increased in the recent past due to the thrust for innovations, notably through startup initiatives, in various sectors such as agriculture, healthcare, industry, and so forth. The existing IoT cloud solutions have led practitioners or researchers to a haphazard clutter of serious security hazards and performance inefficiencies. This paper proposes a blockchain enabled IoT cloud implementation to tackle the existing issues in smart cities. It particularly highlights the implementation of chaincodes for air quality monitoring systems in SmartCities; the proposed architecture named as IoT enabled Blockchain for Air Quality Monitoring System (IB-AQMS) is illustrated using experiments. Experimental results were carried out and the findings were disclosed in the paper.

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Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT)

Javaid

Haleem

Singh

et al. 2021

Sensors International

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Dispersed automation for industrial Internet of Things — An enabler for advanced manufacturing

Cited by 7 publications

References 3 publications

Research on industrial Internet of Things and power grid technology application based on knowledge graph and data asset relationship model

Research on industrial Internet of Things and power grid technology application based on knowledge graph and data asset relationship model

IoT Blockchain Solution for Air Quality Monitoring in SmartCities

Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT)

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