Wireless Vibration Sensor for Tunnel Construction

Kwon, Soonwook; Kim, Jung Yeol; Yoo, Hyuk Sang; Cho, Moon-Young

doi:10.22260/isarc2006/0115

Cited by 5 publications

(7 citation statements)

References 3 publications

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“…Even though the current wireless sensor nodes have a long life operated battery and can function for a long time without charging, a solar-based panel is suggested to provide a long-time power source. Kwon et al (2006) implemented a MEMS-based wireless blasting vibration sensor using Radio Frequency (RF) transmission to measure the ground displacement due to tunnel blasting. The designed sensor board equipped with an accelerometer sensor which is designed by themselves using MEMS fabrication technology, data logger, an amplifier circuit, and ZigBee chip [13].…”

Section: Fig 1 Various Seismographs Deployed In Mines To Measure Thmentioning

confidence: 99%

“…Kwon et al (2006) implemented a MEMS-based wireless blasting vibration sensor using Radio Frequency (RF) transmission to measure the ground displacement due to tunnel blasting. The designed sensor board equipped with an accelerometer sensor which is designed by themselves using MEMS fabrication technology, data logger, an amplifier circuit, and ZigBee chip [13]. Similarly, Kim et al (2008) developed a low-cost Wireless and Automated Data Collection system (WADC) including an accelerometer sensor, ADC, and ZigBee module.…”

Section: Fig 1 Various Seismographs Deployed In Mines To Measure Thmentioning

confidence: 99%

“…The prototype was installed along with minimate plus seismograph at ACC Dungri limestone mine, India [20]. The authors [13][14][15][16][17][18][19][20] implemented a WSN system using RF modules such as ZigBee and ChipCon 2420 chip only. Moreover, the coverage range of these RF modules are low and did not discuss the IoT wireless connectivity.…”

Section: Previous Workmentioning

confidence: 99%

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Performance evaluation of LoRa LPWAN technology for IoT-based blast-induced ground vibration system

Ragam¹,

Nimaje²

2019

J. meas. eng.

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The recent proliferation of wireless sensor networks (WSNs) evolution into the Internet of Things (IoT) vision enables a variety of low-cost monitoring applications which allows a seamless transfer of information via embedded computing and network devices. Ambiguous ground vibration can be induced by blasting demolition is a severe concern which grievously damages the nearby dwellings and plants. It is an indispensable prerequisite for measuring the blast-induced ground vibration (BIGV), accomplishing a topical and most active research area. Thus, proposed and developed an architecture which emphasizes the IoT realm and implements a low-power wide-area networks (LPWANs) based system. Especially, using the available Long-Range (LoRa) Correct as Radio Frequency (RF) module, construct a WSN configuration for acquisition and streaming of required data from and to an IoT gateway. The system can wirelessly deliver the information to mine management and surrounding rural peoples to aware of the intensity of BIGV level. In this article, an endeavor has been made to introduce a LoRa WAN connectivity and proved the potentiality of the integrated WSN paradigm by testing of data transmission-reception in a non-line of sight (NLOS) condition. The path loss metrics and other required parameters have been measured using the LoRa WAN technology at 2.4 GHz frequency.

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Section: Fig 1 Various Seismographs Deployed In Mines To Measure Thmentioning

confidence: 99%

Section: Fig 1 Various Seismographs Deployed In Mines To Measure Thmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

See 1 more Smart Citation

Performance evaluation of LoRa LPWAN technology for IoT-based blast-induced ground vibration system

Ragam¹,

Nimaje²

2019

J. meas. eng.

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“…The existing blast-induced ground vibration monitoring systems are of wire-based systems for acquiring and transferring the field data. In addition, the wire-based systems can only be applied to a limited area and the system becomes incapable if damages occur to the wires, which happens frequently [7]. The conventional vibration sensors composed as depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of blast-induced ground vibration using WSN and prediction with an ANN approach of ACC dungri limestone mine, India

Ragam¹,

Nimaje²

2018

J. vibroeng.

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Blast-induced ground vibration (BIGV) is an undesirable environmental issue in and around mines. Usage of a high amount of explosive causes ground vibrations that are harmful to the nearby habitats and dwellings. In this paper, an attempt has been made to monitor the BIGV with low-cost wireless sensor network (WSN) and prediction of peak particle velocity (PPV) using an artificial neural network (ANN) technique at ACC Dungri limestone mine, Bargarh, Odisha, India. Eleven blasts PPV were recorded at different locations using wireless sensor network prototype system. The data has been transmitted by ZigBee (IEEE 802.15.4) protocol. The results are very promising and the recorded PPV varies from 0.191 mm/s to 8.60 mm/s. A three-layer, feed-forward back propagation neural network consists of 6 input parameters, 5 hidden neurons, and one output parameters were trained. Obtained results were compared based on correlation of determination (R 2) and standard error between recorded and predicted values of PPV.

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“…A novel wireless sensor solution (WSS) system developed by Whelan et al in 2008 incorporates the Tmote Sky platform. The WSS system was embedded with an ultra-low-power microcontroller unit (16-bit MSP430F16111) by Texas instrument [35], (b) Jung Yeol et al [36], (c) Kwon et al [37] and ChipCon CC2420 2.4 GHz transceiver with a data rate of 250 kbps for the establishment of RF transmission to monitor the static and dynamic vibrations of structures [29].…”

Section: Mems-based Accelerometer Wireless Sensor Systems For Shmmentioning

confidence: 99%

Application of MEMS‐based accelerometer wireless sensor systems for monitoring of blast‐induced ground vibration and structural health: a review

Ragam

Sahebraoji

2019

IET wirel. sens. syst.

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Ubiquitous wireless sensor network (WSN) enables low-cost monitoring applications such as blast-induced ground vibration (BIGV) and structural health monitoring (SHM). In particular, monitoring and analysing the ambiguous BIGV waves are essential requisite to control and protect surrounding grievous damage structures. Similarly, improving health and longevity of structures using WSN is a new facet that owes to diminish the low-cost installation. Recent advances in WSNs are forging new prospects for sensors. A variety of intelligent sensors are integrated into the wireless system to monitor environmental, and health of civil infrastructures. Considering the current trends in the area of development of wireless monitoring prototypes, Micro-Electro-Mechanical-Systems (MEMS) accelerometer sensors are widely prevalent owing to the small size and inexpensive. In general, BIGV waves are less intensity and low-frequency signals. Hence, it is essential to select an appropriate accelerometer to detect micro-vibration waves. The study exemplifies a summarised review of recently made MEMS-based accelerometer wireless systems for intelligent and reliable monitoring of BIGV and SHM since the last decade. This research effort focuses on the numerous adopted accelerometers and their characteristics such as sensitivity, noise density, measurement range, bandwidth, resolution, network topologies, and performance of designed systems to analyse the microvibration levels comprehensively.

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Wireless Vibration Sensor for Tunnel Construction

Cited by 5 publications

References 3 publications

Performance evaluation of LoRa LPWAN technology for IoT-based blast-induced ground vibration system

Performance evaluation of LoRa LPWAN technology for IoT-based blast-induced ground vibration system

Monitoring of blast-induced ground vibration using WSN and prediction with an ANN approach of ACC dungri limestone mine, India

Application of MEMS‐based accelerometer wireless sensor systems for monitoring of blast‐induced ground vibration and structural health: a review

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