具有成本效益的数据采集系统用于先进的结构健康监测
Kamer Özdemir1, Ahu Kömeç Mutlu1
1Civil Engineering Department, Gebze Technical University, 41400 Kocaeli, Turkey.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
本研究介绍了两个具有成本效益的,开源的结构健康监测 (SHM) 数据采集设备. 这些设备,CEDAS_acc和CEDAS_geo,提供可靠的地震和结构数据收集,增强监测能力.
科学领域:
- 工程 工程师 工程师 工程师
- 地质物理学 地质物理学
- 计算机科学 计算机科学
背景情况:
- 越来越多的基础设施需求需要先进的结构健康监测 (SHM).
- 现有的SHM系统可能昂贵而复杂.
- 需要可访问,可靠和开源的数据采集解决方案.
研究的目的:
- 推出两个创新的,具有成本效益的,独立的,开源的数据采集设备,用于SHM.
- 使用最新的传感技术增强SHM能力.
- 为传统昂贵的监控系统提供实用替代方案.
主要方法:
- 开发了CEDAS_acc (MEMS加速计+树派),用于强运动和结构监测.
- 开发了CEDAS_geo (地电话 + 树派) 用于微弱运动和地震研究.
- 通过偏移,频率响应和噪声测试验证设备,包括在10层楼的建筑物上进行现场测试和与参考传感器进行比较.
- 介绍了记录分析器 (RECANA) 网络应用程序,用于数据管理和分析.
主要成果:
- CEDAS_accurat 准确地测量结构模式特性和强大的地面运动.
- CEDAS_geo有效地捕捉地震仪网络和预警系统的弱地面运动.
- 在一座钢筋混凝土建筑上的实地测试表明,在捕获峰值加速度和模态频率方面具有很高的准确性.
- 雷卡纳促进了高效的数据处理,过,校准和出口.
结论:
- 开发的CEDAS设备为SHM提供了可靠,准确和成本有效的解决方案.
- 这些开源系统提高了结构和地震监测的可访问性和效率.
- 该研究为推进SHM应用提供了实用工具和验证的硬件.
关键词:
基于MEMS的传感器在这里,Python是Python.拉斯伯派 (Raspberry Pi) 是一款非常有价值的小米电脑.具有成本效益的设备设计.地质电话传感器传感器结构振动的结构振动.弱运动强地面运动测量更多相关视频
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