A Bending Passive RFID Tag as a Sensor for High-Temperature Exposure

Khan, Zahangir; Chen, Xiaochen; He, Han; Mehmood, Adnan; Virkki, Johanna

doi:10.1155/2021/5541197

Cited by 6 publications

(4 citation statements)

References 41 publications

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“…Dey investigated a chipless passive RFID strain sensor tag with a traditional planar antenna, which can be used in the SHM applications areas such as soil strain monitoring, where the object or structure is exposed to less external traction force. Khan et al [ 25 ] introduced a prototype of a low-energy high-temperature exposure sensor. It is a temperature-sensitive passive UHF RFID tag, which will bend forward if the temperature rises.…”

Section: Design and Application Of Rfid Strain Sensors In Shmmentioning

confidence: 99%

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Review of Wireless RFID Strain Sensing Technology in Structural Health Monitoring

Liu,

Wang,

Jiao

et al. 2023

Sensors

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Strain-based condition evaluation has garnered as a crucial method for the structural health monitoring (SHM) of large-scale engineering structures. The use of traditional wired strain sensors becomes tedious and time-consuming due to their complex wiring operation, more workload, and instrumentation cost to collect sufficient data for condition state evaluation, especially for large-scale engineering structures. The advent of wireless and passive RFID technologies with high efficiency and inexpensive hardware equipment has brought a new era of next-generation intelligent strain monitoring systems for engineering structures. Thus, this study systematically summarizes the recent research progress of cutting-edge RFID strain sensing technologies. Firstly, this study introduces the importance of structural health monitoring and strain sensing. Then, RFID technology is demonstrated including RFID technology’s basic working principle and system component composition. Further, the design and application of various kinds of RFID strain sensors in SHM are presented including passive RFID strain sensing technology, active RFID strain sensing technology, semi-passive RFID strain sensing technology, Ultra High-frequency RFID strain sensing technology, chipless RFID strain sensing technology, and wireless strain sensing based on multi-sensory RFID system, etc., expounding their advantages, disadvantages, and application status. To the authors’ knowledge, the study initially provides a systematic comprehensive review of a suite of RFID strain sensing technology that has been developed in recent years within the context of structural health monitoring.

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Section: Design and Application Of Rfid Strain Sensors In Shmmentioning

confidence: 99%

“…Technical Data and Features Maturity Level [25] Low-energy high-temperature exposure sensor with a read range of more than 6 m. After bending, there is a significant decrease in the read range (to around 2-3 m). The backscattered power changes from −36 dBm to −43 dBm.…”

Section: Nomentioning

confidence: 99%

Review of Wireless RFID Strain Sensing Technology in Structural Health Monitoring

Liu,

Wang,

Jiao

et al. 2023

Sensors

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“…The outcomes are sensor elements that rely on simple mechanisms, for instance like phase transitions, to detect temperature threshold violations. The sensor's reaction to such an event is usually a significant change in its electrical impedance [11,12] or frequency response [13][14][15]. This enables easy integration of these sensor elements into wireless evaluation systems, for example, based on radio frequency identification (RFID) technology.…”

Section: Introductionmentioning

confidence: 99%

Introducing a Wax-Based Temperature-Time-Dependent Threshold Sensor

Körbitz,

Heinig,

Fischer

2024

IEEE Sensors J.

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Temperature monitoring is an important tool for a broad variety of sensitive goods to maintain their quality and integrity during supply chain operations. To balance cost and benefit, many applications use sensors that only monitor a specific reference temperature limit. These sensor elements should be lightweight, low-cost and ready for wireless read out. In this work, an innovative sensor concept is presented, that can meet these requirements. It irreversibly changes its electrical resistance from low impedance to high-impedance if a certain temperature value is violated. The sensor element uses wax as a temperaturedependent element. If its melting temperature is exceeded, the liquid wax starts to flow into a textile reservoir. The descending liquid level of the outflowing wax disrupts an inkjet-printed nanoparticle layer that electrically connects the sensor's input and output contact. A fluidic resistance between wax and textile reservoir regulates the speed of wax flow. Thus, it is possible to set a time delay for triggering the sensor after the threshold temperature is reached. This paper demonstrates the feasibility of the proposed sensor concept experimentally. Furthermore, the sensor element is connected to a custom-made RFID-tag, which allows wireless read out of the sensor state. From the authors' point of view, the simple functional principle combined with the good scalability of the sensor concept offers high potential for smart packaging applications.

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“…The benefit of RFID is that it can operate in high temperature conditions [19] for its passive nature. The chip-based RFID can operate at 160 degrees [3] without the constraint of batteries, while the chip-less RFID is able to tolerant hundreds of degrees without an integrated circuit (IC).…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Structural Health Monitoring Using RFID for Harsh Environmental Conditions

Zhao

Sunny

et al. 2022

Electronics

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Post Operation Clean Out (POCO) is the process to remove hazardous materials and decommission nuclear facilities at the end of a nuclear plant’s lifetime. The introduction of Internet of Things (IoT) technologies in the environment, especially radio frequency identification (RFID), would improve efficiency and safety by intelligently monitoring POCO activities. In this paper, we present a passive material identification and crack sensing method developed for the integration of sensing and communication using commercial off-the-shelf (COTS) RFID tags, which is a long-term solution to material property monitoring under insulation for harsh environmental conditions. To validate the effectiveness of material identification and crack monitoring, machine learning techniques have been applied, and the feasibility of the study has been outlined. The result shows that the material identification can be achieved with traditional features and obtain improved accuracy with three-layer multi-layer neural networks (MLNN). In crack characterization, the tree algorithm based on traditional features achieves a reasonable accuracy, while three-layer MLNN is the best solution, which supports the efficiency of traditional feature extraction methods in specific applications.

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A Bending Passive RFID Tag as a Sensor for High-Temperature Exposure

Cited by 6 publications

References 41 publications

Review of Wireless RFID Strain Sensing Technology in Structural Health Monitoring

Review of Wireless RFID Strain Sensing Technology in Structural Health Monitoring

Introducing a Wax-Based Temperature-Time-Dependent Threshold Sensor

Machine Learning-Based Structural Health Monitoring Using RFID for Harsh Environmental Conditions

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