成果報告書詳細
管理番号20160000000794
タイトル*平成27年度中間年報 SIP(戦略的イノベーション創造プログラム)/インフラ維持管理・更新・マネジメント技術 インフラの多種多様なセンシングデータを処理・蓄積・解析する技術の開発 インフラセンシングデータの統合的データマネジメント基盤の研究開発
公開日2016/9/10
報告書年度2015 - 2015
委託先名大学共同利用機関法人情報・システム研究機構国立情報学研究所 国立大学法人北海道大学 国立大学法人筑波技術大学
プロジェクト番号P14031
部署名IoT推進部
和文要約
英文要約Title: An Integrated Data Management Platform for Civil Infrastructure Sensing (FY2014-2016) FY2015 Annual Report

1.1 Sensing Database System
We developed a new vehicle-detection method based on a wavelet transform algorithm that used the data streams from two strain sensors installed at the inlet and outlet of a bridge. The method consists of (1) wavelet transform-based peak detection, (2) alignment of peak sequences from the two sensors by using the dynamic programming, and (3) detection of passing vehicles by choosing the peak pairs which have strong correlations. We evaluated the detection performance by using 10.59 minute-long sensor data and showed that the method could detect vehicles accurately in real time by setting the parameters appropriately. We also developed a passing vehicle detection system based on video data steam.

1.2 Visual Analytics System
We have been developing a method for detecting abnormal vibrations or stress distributions as well as aging degradation in civil infrastructures. We studied models of vibration and stress in bridges with a purpose of defining characteristics of abnormal events using the models created from the sensing data acquired from an experimental PC bridge model. We conducted power spectrum analyses of the sensing data from the experimental bridge model as well as from a real bridge. We investigated, by the analysis, the effect of deterioration of a PC bridge with loosened tensile strength of the steel bars in the PC structure. The change in vibration characteristics caused by temperature changes during a year was also investigated. We finished the basic design of an integrated environment for exploratory visual analytics.

1.3 High-precision Time Synchronization Multi-Sensing Technology
We applied the high-precision time synchronization multi-sensing prototype module with a chip scale atomic clock (CSAC) to a damage detection of experimental bridge model. As a preparation for installing the module to a real bridge, we evaluated the performance and operability of the multi-sensing measurement system. In addition, we designed and manufactured the practical version of the module based on the prototype. For high-precision multi-channel strain measurement and high-sensitivity acceleration measurement, an external sensor board was manufactured equipped with a three-channel analog input, a low-pass filter with cut-off frequency of 50 Hz, a 24 bit A/D converter and a MEMS acceleration sensor. Two types of wireless communications, Wi-Fi and 3G, were provided in its communication board and software was developed for transmitting the sensing data to the developed database system. The shaking table test confirmed that the developed practical modules achieved time synchronization errors within ±0.001 second range, which is sufficient for the structural health monitoring of the civil infrastructure. We created a sensor deployment plan for the health monitoring of a real bridge: Myoko Bridge in Niigata prefecture.
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