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Accurate Position Estimation of a Drifting Wireless LAN Communication Device in a 200mm-Diameter Small Sewer Pipe

机译:200mm直径的小污水管中漂移无线LAN通信设备的准确位置估计

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Sewer pipe deterioration is a severe problem in many countries, and sewer pipe inspections are essential for maintaining sewer systems. Various sewer inspection methods, such as a visual check, boat-type video cameras, and remote robots with or without a wired connection, exist. However, they each suffer from problems, such as high labor costs, long waiting times when using boat-type video cameras, and the purchasing cost of robots. To achieve low-cost, safe, and near real-time inspections of sewer pipes, we have proposed a sewer inspection method based on a drifting wireless camera and sensor nodes. Drifting nodes capture a video of the inside of pipe while drifting on a current in the sewer and access points (AP) installed under manholes receive video data from drifting nodes and send data to an online server on the Internet. For the video inspection using our proposed system, the information of the position of camera/sensor nodes while they drifting is essential because video data need to link to the location information to help to detect damaged points of pipes. However, the camera/sensor nodes cannot utilize the GNSS because signals from GNSS satellite do not reach to the space in underground sewer pipes. In this paper, to investigate the usefulness of the receive signal strength indicator (RSSI) observed by drifting camera/sensor nodes for the position estimation in 200mm-diameter pipes, we performed experiments to measure the RSSI of a wireless communication device drifting on water in an experimental underground pipe. The measurement results show that RSSI monotonically increases when a drifting device approaches the AP and monotonically decreases when it leaves the AP, and the distribution of measurement value suggests that possibility of position estimation with an error of lm order.
机译:在许多国家,下水道管道的恶化是一个严重的问题,下水道管道的检查对于维护下水道系统至关重要。存在各种下水道检查方法,例如视觉检查,船型摄像机以及具有或不具有有线连接的远程机器人。然而,它们各自遭受诸如高人工成本,使用船用摄像机的长时间等待时间以及机器人的购买成本之类的问题。为了实现低成本,安全和近乎实时的下水道检查,我们提出了一种基于漂移的无线摄像头和传感器节点的下水道检查方法。漂流节点在下水道中的水流上漂流时捕获管道内部的视频,而安装在沙井下的接入点(AP)从漂流节点接收视频数据,并将数据发送到Internet上的在线服务器。对于使用我们提出的系统进行视频检查,摄像机/传感器节点漂移时的位置信息至关重要,因为视频数据需要链接到位置信息以帮助检测管道的损坏点。但是,摄像头/传感器节点无法使用GNSS,因为来自GNSS卫星的信号不会到达地下下水道中的空间。在本文中,为了研究通过漂移摄像机/传感器节点观察到的接收信号强度指示器(RSSI)在直径200mm的管道中的位置估计的有用性,我们进行了实验,以测量在水中漂流的无线通信设备的RSSI。实验性地下管道。测量结果表明,当漂移装置接近AP时,RSSI单调增加,而当离开AP时,RSSI单调减少,测量值的分布表明位置估计的可能性为lm阶。

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