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Sensor agent robot with servo-accelerometer for structural health monitoring

机译:具有伺服加速度计的传感器代理机器人,用于结构健康监测

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SHM systems are becoming feasible with the growth of computer and sensor technologies during the last decade. However, high implantation cost prevents SHM from becoming common in general buildings. The reason of this high cost is partially due to many accelerometers. In this research, we propose a mobile sensor agent robot with accelerometers and a laser range finder (LRF). If this robot can properly measure accurate acceleration data, the cost of SHM would be cut down and the SHM systems would become common. Our goal is to develop a platform for SHM using the sensor agent robot. We designed the prototype robot to detect the floor vibrations and acquire the micro tremor information correctly. When the sensor agent robot is set in the mode of acquiring the data, the dynamics of the robot should be tuned not to be affected by its flexibility. To achieve this purpose the robot frame was modified to move down to the floor and to provide enough rigidity to obtain good data. In addition to this mechanism, we tested an algorithm to know the location of the robot and the map of the floor correctly to be used in the SHM system using the LRF and Simultaneously Localization and Mapping (SLAM).
机译:在过去的十年中,随着计算机和传感器技术的发展,SHM系统变得可行。但是,高植入成本阻止了SHM在普通建筑物中变得普遍。这种高成本的部分原因是由于许多加速度计。在这项研究中,我们提出了一种带有加速度计和激光测距仪(LRF)的移动传感器代理机器人。如果该机器人能够正确测量准确的加速度数据,那么SHM的成本将降低,SHM系统将变得越来越普遍。我们的目标是使用传感器代理机器人为SHM开发平台。我们设计了原型机器人来检测地板振动并正确获取微震信息。当将传感器代理机器人设置为获取数据的模式时,应该调整机器人的动力学,使其不受灵活性的影响。为了实现此目的,对机器人框架进行了修改,使其可以向下移动到地板并提供足够的刚度以获得良好的数据。除此机制外,我们还测试了一种算法,该算法可通过LRF以及同时定位和制图(SLAM)来正确识别将在SHM系统中使用的机器人的位置和地面图。

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