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Design and Implementation of an Automatic Vehicle for Thermographic Inspections in Electric Distribution Network Using Deep Learning Based Software

机译:基于深度学习软件的配电网络热成像检查自动化车辆的设计与实现

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In this paper, the authors describe the design, development and implementation of a deep-learning based system mounted on a terrestrial vehicle roof-top. The main objective is to capture images of overheat elements from the distribution powergrid network during the travel. Initially the vehicle was equipped with nine cameras to cover inspection in both side of the road and also covers the front view. This solution results in the capability to inspect hundreds of miles of power distribution lines without the need to stop the vehicle and without the need for a human operator. In the near future autonomous vehicles could be equipped with such a system to perform a full automatic inspection.
机译:在本文中,作者描述了安装在地面车顶顶部的深度学习系统的设计,开发和实施。主要目的是在旅行期间从分发PowerGrid网络捕获过热元素的图像。最初,车辆配备了九个摄像头,以覆盖道路两侧的检查,并覆盖正视图。该解决方案导致能够检查数百英里的配电线路,而无需阻止车辆,而无需人工操作员。在近期未来的自治车辆中可以配备这样的系统来进行全自动检查。

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