Electric grid monitoring and control architecture for industry 4.0 systems

Coman, Ciprian Mihai; Florescu, Adriana

doi:10.1109/isfee.2018.8742435

Cited by 5 publications

(2 citation statements)

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“…Sensors networks are used nowadays in various setups, wired or wireless, just monitoring or also actuating, standalone or connected into industry 4.0. Applications include composite material manufacturing [4], electric grid monitoring and control [5], [6], agriculture [7], smart homes [8], smart city [9] etc. There are also innovative approaches to sensor data manipulation and storage using blockchain technologies, thus providing decentralization, transparency and immutability [10] [11].…”

Section: Introductionmentioning

confidence: 99%

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Coman

D’Amico²,

Coman³

et al. 2021

IEEE Access

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Sensor-Cloud Systems (SCS) are designed to link sensor networks and cloud applications, in order to gather and process information. While this is a hot topic for both academia and industry, with a large number of implementations, not much effort was put towards analysing the reliability of these systems. This article presents an experimental implementation of a system in the field of intelligent products and explores reliability improving techniques in five main areas of the SCS: network communication performance, auto recovery, local backup, automated software testing and system security. They all play an important role in determining the level of reliability of the novel Internet of Things (IoT) architecture framework for intelligent products presented in the article. A new formula is proposed for assessing the reliability of a SCS based on metrics from each of the five areas. Metrics used to assess the system reliability are presented, along with comparisons between operating with improvement techniques and without them. The results show that the reliability of the implemented SCS is improved considerably by implementing a deliberate reliability policy using an original five level tiered approach.

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Section: Introductionmentioning

confidence: 99%

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Coman

D’Amico²,

Coman³

et al. 2021

IEEE Access

Self Cite

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“…Due to rapid advances in ICT, the digital transformation is expanding across all domains. In the industrial environment, most often, it takes the form of Industry 4.0 ecosystems that integrate several technologies and concepts such as the Internet of Things (IOT), big data, cloud computing, and smart metering, in order to allow real-time monitoring and controlling of a complex industrial system using remote computers and mobile devices [23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Improving the Efficiency and Sustainability of Power Systems Using Distributed Power Factor Correction Methods

2020

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For the equipment connected to the three-phase or single-phase grid, the power factor represents an efficiency measure for the usage of electrical energy. The power factor improvement through correction methods reduces the load on the transformers and power conductors, leading to a reduction of losses in the mains power supply and a sustainable grid system. The implications at the financial level are also important. An example of load that generates a small power factor is represented by a motor without mechanical load or having a small mechanical load. Given the power factor correction (PFC), the costs are reduced through the elimination of penalties, applying only in the common coupling point (CCP). The advantages of using equipment for the power factor correction are related also to their long operation duration and the easiness of their installation. The device presented in this article takes advantage of the advances in information and communication technology (ICT) to create a new approach for telemetry and remote configuration of a PFC. This approach has flexibility and versatility, such that it can be adapted to many loads, easily changing the capacitance steps and settings of the power factor correction device.

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Cloud Computing Smart Metering for the Power Consumption of Houses

Hussein,

Abdul-Rahaim

2022

2022 2nd International Conference on Advances in Engineering Science and Technology (AEST)

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Electric grid monitoring and control architecture for industry 4.0 systems

Cited by 5 publications

References 10 publications

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Improving the Efficiency and Sustainability of Power Systems Using Distributed Power Factor Correction Methods

Cloud Computing Smart Metering for the Power Consumption of Houses

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