Anthony Schenck, W. Daems, J. Steckel
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引用次数: 1

摘要

据估计,压缩空气网络高达三分之一的电力消耗是由于未被发现的泄漏造成的。目前检测和定位这些空气泄漏的方法涉及使用手持设备的体力劳动,这些设备可以检测由逸出的空气产生的超声波。此外,由空气泄漏引起的额外能源成本隐藏在能源总成本中,减少了需要寻找解决方案的感觉。因此,积极检测和修复这些空气泄漏的承诺有限。为了解决这个问题,我们提出了一个在定位过程中不需要人工的解决方案,通过为现有的工厂车辆安装一个包含所有必要传感器的外壳:用于SLAM定位的激光扫描仪和超声波麦克风阵列。通过将SLAM技术与机器人上的超声波麦克风阵列相结合,我们能够在大环境中以高精度的3D方式定位泄漏。通过自动化这一过程,我们的目标是鼓励行业主动寻找空气泄漏,以减少能源损失,而成本只是当前方法的一小部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AirleakSlam: Detection of Pressurized Air Leaks Using Passive Ultrasonic Sensors
It is estimated that up to a third of the power consumption of compressed air networks is lost due to undetected leaks. Current methods of detecting and locating these air leaks involve manual labor using handheld devices that can detect the ultrasonic sound generated by the escaping air. In addition, the extra energy costs caused by the air leaks are concealed in the total cost of energy, reducing the sense of needing to find a solution. Therefore, there is limited commitment to actively detect and repair these air leaks. In order to address this issue, we propose a solution that requires no manual labor in the localization process, by fitting existing factory vehicles with an enclosure containing all the required sensors: a laser scanner for SLAM localization and an ultrasonic microphone array. By combining SLAM techniques with our ultrasonic microphone array on a robot, we are able to locate leaks in a large environment with high precision in 3D. By automating this process we aim to encourage the industry to proactively search for air leaks to reduce the amount of energy loss at a fraction of the cost of current methods.
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