Review of Wearable Device Technology and Its Applications to the Mining Industry

Mardonova, Mokhinabonu; Choi, Yosoon

doi:10.3390/en11030547

Cited by 136 publications

(44 citation statements)

References 44 publications

(46 reference statements)

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“…The requirements of batteries change significantly depending on the wearable energy consumption. Three different types of devices can be distinguished, depending on their power needs [35,113,114]:…”

Section: Challengesmentioning

confidence: 99%

Energy Harvesting Techniques for Wireless Sensor Networks/Radio-Frequency Identification: A Review

2019

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In the near future, symmetry technologies for the Internet of Things (IoT), along with symmetry and asymmetry applications for IoT security and privacy, will re-design the socio-ecological human terrain morphology. The IoT ecosystem deploys diverse sensor platforms connecting billions of heterogeneous objects through the Internet. Most sensors are low-energy consuming devices which are designed to transmit sporadically or continuously. However, when we consider the billions/trillions of connected sensors powering various user applications, their energy efficiency (EE) becomes a critical issue. Therefore, the importance of EE in IoT technology cannot be overemphasised, specifically the development of EE solutions for sustainable IoT technology. Propelled by this need, EE proposals are expected to address IoT’s EE issues. Consequently, many developments have been displayed, and highlighting them to provide clear insights into eco-sustainable and green IoT technologies is becoming a crucial task. To pursue a clear vision of green IoT, this article aims to describe the current state-of-the art insights into energy-saving practices and strategies on green IoT. The major contribution of this study is the review and discussion of the substantial issues enabling hardware green IoT to focus on green wireless sensor networks and green radio-frequency identification. This review paper will contribute significantly to the future implementation of green and eco-sustainable IoT.

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Section: Challengesmentioning

confidence: 99%

Energy Harvesting Techniques for Wireless Sensor Networks/Radio-Frequency Identification: A Review

2019

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“…Additionally, both policies and technological advancements are focused on reducing power consumption by increasing efficiency at the consumer level, such as switching to LED lighting [2]. At the same time, the concept of wearable devices is also gaining attention, in particular, devices like smart watches, fitness trackers, and smart clothing [3]. At the intersection of these trends is the concept of using PV cells to power wearable applications.…”

Section: Introductionmentioning

confidence: 99%

Design Considerations for Parallel Differential Power Processing Converters in a Photovoltaic-Powered Wearable Application

Lee

Kim

2018

Energies

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Solar photovoltaic (PV) power is a widely used to supply power to the electric grid but can also be used in lower-power emerging applications, like in wearables or the internet of things. One fundamental challenge of using PV power in flexible wearable applications is that individual PV modules point at various angles, thus receiving different light intensities. Using a series configuration for the PV modules greatly decreases power utilization under uneven irradiance conditions. Parallel differential power processing (DPP) converters are employed to address this power reduction problem, while maintaining individual PV control and maximizing output power. Two parallel DPP configurations, with and without a front-end converter, are analyzed and compared for a target battery-charging application. The DPP system without a front-end converter shows consistently high performance and operates properly over a wider range of lighting conditions. Maximum power point tracking (MPPT) algorithms are also examined for parallel DPP systems. When the MPPT parameters are properly calibrated, simulation results indicate that voltage-offset resistive control is the most effective at maximizing PV power under unbalanced lighting conditions.

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“…With the rapid development of sensing technologies, various types of sensors can be embedded in wearable devices. According to their features, they can be divided into four major groups [36]:…”

mentioning

confidence: 99%

Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces

Sun

Zheng

Gong

et al. 2020

Sensors

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Recent advances in technology have empowered the widespread application of cyber–physical systems in manufacturing and fostered the Industry 4.0 paradigm. In the factories of the future, it is possible that all items, including operators, will be equipped with integrated communication and data processing capabilities. Operators can become part of the smart manufacturing systems, and this fosters a paradigm shift from independent automated and human activities to human–cyber–physical systems (HCPSs). In this context, a Healthy Operator 4.0 (HO4.0) concept was proposed, based on a systemic view of the Industrial Internet of Things (IIoT) and wearable technology. For the implementation of this relatively new concept, we constructed a unified architecture to support the integration of different enabling technologies. We designed an implementation model to facilitate the practical application of this concept in industry. The main enabling technologies of the model are introduced afterward. In addition, a prototype system was developed, and relevant experiments were conducted to demonstrate the feasibility of the proposed system architecture and the implementation framework, as well as some of the derived benefits.

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Review of Wearable Device Technology and Its Applications to the Mining Industry

Cited by 136 publications

References 44 publications

Energy Harvesting Techniques for Wireless Sensor Networks/Radio-Frequency Identification: A Review

Energy Harvesting Techniques for Wireless Sensor Networks/Radio-Frequency Identification: A Review

Design Considerations for Parallel Differential Power Processing Converters in a Photovoltaic-Powered Wearable Application

Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces

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