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Establishment of long term monitoring system for bridge maintenance and management by developing robot system for high accurate structural identification

通过开发高精度结构识别机器人系统，建立桥梁维护和管理的长期监控系统

基本信息

批准号：
15360245
负责人：
OKABAYASHI Takatoshi
金额：
$ 6.85万
依托单位：
Nagasaki University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

For the aim at establishment of long term monitoring system for bridge maintenance by the high accurate structural identification, we develop the theory, monitoring system, and conducted field tests for the realization. The results were described as follows.1)Development of the automatic structure identification engine for the high precision structure identification robotTo accomplish structural identification, we developed two structural identification methods, which are 1)The two-step estimation method based on AR model, and 2)The ERA method.2)Verification of the precision of the automatic structure identification engineBy using the two automatic estimation engines, the vibration character of the bridge could be estimated in the high precision as a result of doing the verification for 5D.O.F. model and Langer Bridge.3)Development of the automatic vibration characteristic estimation system for the high precision structure identification robotA super-high precision structure identifica … More tion robot system is consisting of sensing part, data transmission part, and data accumulated part. It was applied to the actual bridge structure thing, and that utility was confirmed.4)Actual bridge long-term monitoring by the super-high precision structure identification robotThe super-high precision structure identification robot was applied to long term monitoring of the Kadoma Bridge in Osaka, and the Kabashima Bridge in Nagasaki. We found that the yearly change of temperature affect the vibration characteristics of those bridge. It means that we should care about the influences by the environments for monitoring the structure's frequencies. It is working even at present, and this measurement is continuing data accumulation.5)Development of the bridge construction management, and measurement control system by the wireless LANBy using above mentioned system, a bridge construction management and measurement control system were developed. The rationalization of the computerized execution and the construction could be realized by the remote monitoring of the cable vibration measurement data.6)Development of the light weight multiple functions measurement module and application to that bridge monitoring systemA bridge static change analysis by the live load, and a bridge dynamic change analysis were realized with the light weight multiple functions measurement module. Also, the practical experiment of the measurement of the traffic flow by the Internet camera was done, and that validity was confirmed. Less

为了通过高精度的结构识别建立桥梁维护的长期监测系统，我们开发了理论、监测系统，并进行了现场测试以实现。结果如下：1）高精度结构识别机器人自动结构识别引擎的开发为了完成结构识别，我们开发了两种结构识别方法，分别是1）基于AR模型的两步估计方法和2）ERA方法。2）自动结构识别引擎的精度验证通过使用这两种自动估计引擎，可以高精度地估计桥梁的振动特性。 5D.O.F.的验证3)高精度结构识别机器人振动特性自动估计系统的研制超高精度结构识别机器人系统由传感部分、数据传输部分和数据积累部分组成。应用于实际桥梁结构物中,证实了其实用性。4)超高精度结构识别机器人的实际桥梁长期监测超高精度结构识别机器人应用于大阪门真大桥、长崎鹿岛大桥的长期监测。我们发现每年的温度变化会影响这些桥梁的振动特性。这意味着我们在监测结构频率时应该关心环境的影响。目前仍在工作中，该测量正在持续积累数据。5)通过无线局域网开发桥梁施工管理和测量控制系统利用上述系统，开发了桥梁施工管理和测量控制系统。通过对缆索振动测量数据的远程监控，可以实现计算机化执行和施工的合理化。6)轻型多功能测量模块的开发及其在桥梁监测系统中的应用利用轻型多功能测量模块实现了桥梁活荷载静态变化分析和桥梁动态变化分析。同时还进行了网络摄像机测量交通流量的实际实验，验证了其有效性。较少的