A SA-Based Wireless Seismic Stress Monitoring System for Concrete Structures

Hou, Shuang; Yu, Yan; Zhang, Haibin; Mao, Xingquan; Ou, Jinping

doi:10.1155/2013/978313

Cited by 11 publications

(4 citation statements)

References 25 publications

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“…The high cost of instrumentation and the rise of low-cost microcontrollers, each time with more functionalities, is what motivates the increasing number of proposals for measurement systems developed by the research groups themselves. Thus, wireless solutions can be found in the literature for seismic exploration [ 27 , 28 ], microzonation studies [ 29 , 30 , 31 , 32 , 33 , 34 ] and building monitoring [ 35 , 36 , 37 ], among others.…”

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of a Wireless Sensor Network for Seismic Monitoring of Buildings

Jornet-Monteverde

Galiana-Merino

Soler-Llorens

2021

Sensors

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This article presents a new wireless seismic sensor network system, especially design for building monitoring. The designed prototype allows remote control, and remote and real-time monitoring of the recorded signals by any internet browser. The system is formed by several Nodes (based on the CC3200 microcontroller of Texas Instruments), which are in charge of digitizing the ambient vibrations registered by three-component seismic sensors and transmitting them to a central server. This server records all the received signals, but also allows their real-time visualization in several remote client browsers thanks to the JavaScript’s Node.js technology. The data transmission uses not only Wi-Fi technology, but also the existing network resources that nowadays can be found usually in any official or residential building (lowering deployment costs). A data synchronization scheme was also implemented to correct the time differences between the Nodes, but also the long-term drifts found in the internal clock of the microcontrollers (improving the quality of records). The completed system is a low-cost, open-hardware and open-software design. The prototype was tested in a real building, recording ambient vibrations in several floors and observing the differences due to the building structure.

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Section: Introductionmentioning

confidence: 99%

“…In the work of Hou et al [ 36 ], the proposed system consists of a base station, a computer and several wireless nodes connected in star topology. Each node includes four main units: flash storage, wireless transmission, microprocessing, and power management.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Wireless Sensor Network for Seismic Monitoring of Buildings

Jornet-Monteverde

Galiana-Merino

Soler-Llorens

2021

Sensors

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“…In many NDT applications, smart aggregates (SAs) are known as one of the most innovative piezoceramicbased sensors which have been used successfully due to its small size and material properties. 7,8 One of the disadvantages of using SAs in previous studies [9][10][11][12][13][14][15][16][17] is the matter of applicability for existing structures, as they all considered the installation of at least one embedded actuator in the fabrication stage. Therefore, the first goal of this study is to investigate the applicability of SAs mounted on structures in detecting damages.…”

Section: Introductionmentioning

confidence: 99%

Analysis of failure in concrete and reinforced-concrete beams for the smart aggregate–based monitoring system

Hoshyar

Samali

Liyanapathirana

et al. 2019

Structural Health Monitoring

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Monitoring of structures and defining the severity of damages that occur under loading are essential in practical applications of civil infrastructure. In this article, we analyze failure using a smart aggregate sensor–based approach. The signals captured by smart aggregate sensors mounted on the structure under loading are de-noised using wavelet de-noising technique to prevent misdirection of the event interpretation of what is happening in the material. The performance of different mother wavelets on the de-noising process was investigated and analyzed. The objective is to identify the optimal mother wavelet for assessing and potentially reducing the effects of existing noise on signal properties for structural damage detection. In addition, we propose two innovative damage indices, entropy-based dispersion and entropy-based beta, for diagnostic purposes. The proposed entropy-based dispersion damage index is based on the modified wavelet packet tree and root mean square deviation, whereas the entropy-based beta damage index is based on the modified wavelet packet tree and slope of linear regression (beta). In both damage indices, the modified wavelet packet tree uses entropy as a high-level feature. Theoretical and experimental analyses are derived by computing indices on smart aggregate–based sensor data for concrete and reinforced-concrete beams. Validity assessment of the proposed indices was addressed through a comparative analysis with root mean square deviation damage index (benchmark) and the loading history. The proposed indices recognized the cracks faster than other measures and well before major cracking incurs in the structure. This article is expected to be beneficial for smart aggregate–based structural health monitoring applications particularly when damages occurred under loading.

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“…The first experiment was based on the XBee S2 wireless protocol, whereas the second was based on ANT. The use of the XBee S2 and ANT wireless standards addresses the requirements of low power consumption, low cost and weight, small size [ 8 , 9 ], suitable communication range, and free license Industrial, Scientific, and Medical (ISM) band 2.4 GHz wireless application [ 10 ]. An emerging wireless technology is Bluetooth Smart, which was previously called Bluetooth Low Energy (BLE) [ 11 ]; it is characterized by low power consumption, high data rate, and small size [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

An Ultra-Low Power Wireless Sensor Network for Bicycle Torque Performance Measurements

Gharghan

Nordin

Ismail

2015

Sensors

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In this paper, we propose an energy-efficient transmission technique known as the sleep/wake algorithm for a bicycle torque sensor node. This paper aims to highlight the trade-off between energy efficiency and the communication range between the cyclist and coach. Two experiments were conducted. The first experiment utilised the Zigbee protocol (XBee S2), and the second experiment used the Advanced and Adaptive Network Technology (ANT) protocol based on the Nordic nRF24L01 radio transceiver chip. The current consumption of ANT was measured, simulated and compared with a torque sensor node that uses the XBee S2 protocol. In addition, an analytical model was derived to correlate the sensor node average current consumption with a crank arm cadence. The sensor node achieved 98% power savings for ANT relative to ZigBee when they were compared alone, and the power savings amounted to 30% when all components of the sensor node are considered. The achievable communication range was 65 and 50 m for ZigBee and ANT, respectively, during measurement on an outdoor cycling track (i.e., velodrome). The conclusions indicate that the ANT protocol is more suitable for use in a torque sensor node when power consumption is a crucial demand, whereas the ZigBee protocol is more convenient in ensuring data communication between cyclist and coach.

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A SA-Based Wireless Seismic Stress Monitoring System for Concrete Structures

Cited by 11 publications

References 25 publications

Design and Implementation of a Wireless Sensor Network for Seismic Monitoring of Buildings

Design and Implementation of a Wireless Sensor Network for Seismic Monitoring of Buildings

Analysis of failure in concrete and reinforced-concrete beams for the smart aggregate–based monitoring system

An Ultra-Low Power Wireless Sensor Network for Bicycle Torque Performance Measurements

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