Smart Cities - Automatic Power Lines Inspection

R. K. Rangel, A. Maitelli, Vilmar Antônio Rodrigues, Darwin Rafael Gonçalves Valente
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引用次数: 2

Abstract

This paper describes an ongoing development of an Unmanned Aircraft System (UAS), with embedded Artificial Intelligence (A.I.) for visual inspection of power lines over urban regions. The development considers the concept of Drone as a Service Tool, together with the Smart Cities, relating all equipment as an Internet of Things (IoT) device, bringing to the urban scenario the aerial mobility and the A.I procedures, to increase the process effectiveness and reducing costs of the orthodoxy power lines inspection process, with the use of new technologies. The application development was made considering the operational requests of the Brazilian National Agency of Electric Energy, that is, considering the automatization activity at the maintenance process on the field an improvement. In this case, the Aerial platform, is represented by a quadcopter with embedded computer running A.I. procedures and computer vision, to control and to do the visual inspection, according to the mission requirements. The integration of each sensor and data processing are done inside of UAS, using specific embedded computer and boards, defined as payload control board, to processing data onboard and reduce the telemetry throughput, as sample, the imagery control, image processing and pattern recognition, navigation avoid obstacle, and to control the Drone in automatic or remotely piloted mode, giving some “intelligence” for the squadron operation (swarm), using the technic of area saturation to inspect all local infrastructure. The main characteristic of our application is the management data and the visual process. In this scope the aerial platform has embedded a set of cameras able to collect the image of the electrical asset, e.g., power line poles, lightning rod, rust/corrosion, damaged bolts and others, using thermal or regular cameras. The power line inspection process considers the Drone scanning the field, to identify the targets, doing the pattern recognition and other automatic procedures according to each operational scope and I.A. procedures, in order to increase the power lines maintenance process effectiveness. The Aerial systems are constantly monitored in real time by a set of Command and Control Stations (CCS), with dedicated infrastructure and software, from the field at the Situation room. This development is compounded by the management software (SIGI), UAS and specific IoT devices, totally integrated with the CCS room. Based on the data collected from the interest areas, SIGI software has the ability to show real time situational analysis, guiding the manager at resources optimization (material and human) improving the efficiency of resource allocation in these areas, reducing process costs and improving the maintenance management process improving the Brazilian energy services.
智能城市-自动电力线检查
本文描述了一种正在进行的无人机系统(UAS)的开发,该系统具有嵌入式人工智能(A.I.),用于对城市地区的电力线进行视觉检查。该开发考虑了无人机作为服务工具的概念,以及智慧城市,将所有设备作为物联网(IoT)设备连接起来,将空中机动性和人工智能程序引入城市场景,通过使用新技术,提高流程效率并降低传统电力线检查过程的成本。应用程序的开发是考虑到巴西国家电力能源机构的操作要求,即考虑到现场维护过程中的自动化活动的改进。在这种情况下,空中平台由一架四轴飞行器代表,该飞行器带有嵌入式计算机,运行人工智能程序和计算机视觉,根据任务要求进行控制和视觉检查。每个传感器的集成和数据处理都是在UAS内部完成的,使用特定的嵌入式计算机和板,定义为有效载荷控制板,处理机载数据并减少遥测吞吐量,作为样本,图像控制,图像处理和模式识别,导航避开障碍物,并控制无人机在自动或远程驾驶模式下,为中队操作(群)提供一些“智能”。采用区域饱和技术对当地所有基础设施进行检测。本应用程序的主要特点是管理数据和可视化过程。在这个范围内,空中平台嵌入了一组能够收集电气资产图像的摄像机,例如,电力线杆,避雷针,生锈/腐蚀,损坏的螺栓等,使用热摄像机或普通摄像机。电力线巡检过程考虑了无人机对现场的扫描、对目标的识别、根据各个操作范围和I.A.程序做模式识别等自动化程序,以提高电力线维护过程的有效性。空中系统由一组指挥和控制站(CCS)持续实时监控,具有专用的基础设施和软件,来自现场的情况室。管理软件(SIGI)、UAS和特定的物联网设备使这一发展更加复杂,与CCS室完全集成。基于从相关领域收集的数据,SIGI软件能够显示实时态势分析,指导管理人员进行资源优化(物力和人力),提高这些领域的资源分配效率,降低流程成本,改善维护管理流程,从而改善巴西的能源服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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