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Sensors 2017, 17(7), 1620; https://doi.org/10.3390/s17071620

A Study on the Data Compression Technology-Based Intelligent Data Acquisition (IDAQ) System for Structural Health Monitoring of Civil Structures

Department of Civil and Environment Engineering, Konyang University, 121 Daehak-ro, Nonsan, Chungnam 320-711, Korea
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Received: 1 June 2017 / Revised: 10 July 2017 / Accepted: 10 July 2017 / Published: 12 July 2017
(This article belongs to the Special Issue Sensors and Sensor Networks for Structural Health Monitoring)

Abstract

In this paper, a data compression technology-based intelligent data acquisition (IDAQ) system was developed for structural health monitoring of civil structures, and its validity was tested using random signals (El-Centro seismic waveform). The IDAQ system was structured to include a high-performance CPU with large dynamic memory for multi-input and output in a radio frequency (RF) manner. In addition, the embedded software technology (EST) has been applied to it to implement diverse logics needed in the process of acquiring, processing and transmitting data. In order to utilize IDAQ system for the structural health monitoring of civil structures, this study developed an artificial filter bank by which structural dynamic responses (acceleration) were efficiently acquired, and also optimized it on the random El-Centro seismic waveform. All techniques developed in this study have been embedded to our system. The data compression technology-based IDAQ system was proven valid in acquiring valid signals in a compressed size. View Full-Text
Keywords: data compression technology; embedded software technology; artificial filter bank; band-pass filter optimizing algorithm; peak-picking algorithm; reconstruction error; compressive ratio; spectrum error; structural health monitoring data compression technology; embedded software technology; artificial filter bank; band-pass filter optimizing algorithm; peak-picking algorithm; reconstruction error; compressive ratio; spectrum error; structural health monitoring
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Heo, G.; Jeon, J. A Study on the Data Compression Technology-Based Intelligent Data Acquisition (IDAQ) System for Structural Health Monitoring of Civil Structures. Sensors 2017, 17, 1620.

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