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2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)最新文献

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The MASKI+ underwater inspection robot: A new generation ahead MASKI+水下检测机器人:新一代的前进
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745648
Luc Provencher, Serge Sarraillon
Hydro-Québec operates 63 hydroelectric power plants and owns 668 dams, as well as 98 control structures. In order to ensure their safety and proper operation, Hydro-Québec's Research Institute (IREQ) develops robotic technologies that can perform diagnosis and intervention tasks underwater. Over the last 20 years, several generations of underwater Remotely Operated Vehicles (ROVs) have been developed to address the challenges of dam inspection in fresh water. The newest generation is called MASKI+. This paper describes the history of the predecessors of MASKI+ and presents the advantages of this new generation of fresh water ROV.
hydro - quamesbec运营着63座水力发电厂,拥有668座水坝,以及98座控制结构。为了确保它们的安全和正常运行,hydro - quacimbec研究所(IREQ)开发了可以在水下执行诊断和干预任务的机器人技术。在过去的20年里,为了解决淡水中大坝检查的挑战,已经开发了几代水下远程操作车辆(rov)。最新一代被称为MASKI+。本文介绍了MASKI+的前身的历史,并介绍了新一代淡水ROV的优点。
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引用次数: 7
Finite element analysis and vibration control of the Substation Charged Maintenance Robot 变电站充电检修机器人的有限元分析及振动控制
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745616
Xin Zhang, Ronghui Huang, Senjing Yao, Xu Dong
Substation insulator strings which exposed to the outdoor environment need to be cleaned the industrial contamination and natural contamination regularly in order to prevent the flashover phenomenon that occurs in rain and fog and other inclement weather because of the accumulation of contamination and then cause power outages and other incidents. The Substation Charged Maintenance Robot is used for cleaning the substation equipment in 110kV-220kV AIS Substation. The vibration characteristics of the robot's chassis and operating platform cannot be ignored to ensure the accuracy of the job. Statics simulation analysis and modal analysis are conducted according to the job characteristics of the robot. Stress distribution of operating platform and low-order vibration frequencies and mode shapes of telescopic arms are obtained and then vibration control schemes are proposed based on the simulation results.
暴露在室外环境中的变电站绝缘子串需要定期清洗工业污染和自然污染,以防止在雨雾等恶劣天气下因污染积累而发生闪络现象,进而造成停电等事故。变电站充电维护机器人用于对110kV-220kV AIS变电站的变电站设备进行清洁。为了保证作业的精度,机器人的底盘和操作平台的振动特性是不可忽视的。根据机器人的工作特点,进行了静力学仿真分析和模态分析。得到了工作平台的应力分布、伸缩臂的低阶振动频率和振型,并根据仿真结果提出了振动控制方案。
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引用次数: 2
Design for a fast high precision UAV power emergency relief system 设计一种快速高精度的无人机电源应急救援系统
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745626
Yi Zhang, Zhigang Ren, Liang Liu, Chuanhu Wei, Chaoyuan Yin
Unmanned aerial vehicle (in this paper, it is referred to as UAV) is widely used in the field of electric power emergency relief. The route planning time of traditional UAV emergency relief system is too long to deliver the disaster delay, and its inaccurate image feedback lead to blind command. In this paper, a fast high precision UAV power emergency relief system has been successfully designed, mainly including route map fast planning system, automatic high-precision UAV flight platform and ground monitoring command system. The route map fast planning system has been designed based on the C language, GIS Data development technology and image recognition technology. Automatic high-precision UAV flight platform mainly include UAV flight platform, multiple picture Video segmentation processor and camera fixed device. UAV route planning can be finished fast, nearly 60% of the planning map time has been saved than traditional UAV system.
无人驾驶飞行器(本文简称无人机)在电力应急救援领域应用广泛。传统的无人机应急救援系统路线规划时间过长,无法传递灾害延迟,图像反馈不准确,导致指挥盲目性。本文成功设计了一套快速高精度无人机电源应急救援系统,主要包括航路图快速规划系统、高精度无人机自动飞行平台和地面监控指挥系统。基于C语言、GIS数据开发技术和图像识别技术,设计了线路地图快速规划系统。自动化高精度无人机飞行平台主要包括无人机飞行平台、多画面视频分割处理器和摄像固定装置。无人机航路规划可快速完成,比传统无人机系统节省近60%的规划图时间。
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引用次数: 6
The method of insulator recognition based on deep learning 基于深度学习的绝缘子识别方法
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745630
Yue Liu, Jun Yong, Liang Liu, Jinlong Zhao, Zongyu Li
The insulator is an import part of transmission line, and the defects detection of insulator rely deeply on the insulators' position. Traditional methods about insulator recognition task are depend on color features and geometric features, those methods would be influenced by lots of factors, such as illumination and background in result getting poor generalization ability. In this paper, we propose a method to recognize insulator based on deep learning algorithm. Firstly, we construct the training dataset which includes insulator, background and tower three categories. Secondly, we initialize the convolution neural networks as a six-level network, and adjust training parameters to train the model. Lastly, the trained model is used to predict the candidate insulator position. With the help of non-maximum suppression algorithm and line fitting method, we can get the exactly location of insulator. The experiment results on UAV dataset show the proposed method can effective localize the insulator and improve generalization ability significantly.
绝缘子是输电线路的重要部件,绝缘子的缺陷检测很大程度上依赖于绝缘子的位置。传统的绝缘体识别方法依赖于颜色特征和几何特征,受光照和背景等因素的影响较大,泛化能力较差。本文提出了一种基于深度学习算法的绝缘子识别方法。首先,我们构建了包含绝缘子、背景和塔三大类的训练数据集。其次,我们将卷积神经网络初始化为一个六层网络,并调整训练参数来训练模型。最后,利用训练好的模型对候选绝缘子位置进行预测。利用非极大值抑制算法和直线拟合方法,可以得到绝缘子的准确位置。在无人机数据集上的实验结果表明,该方法可以有效地定位绝缘子,显著提高泛化能力。
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引用次数: 33
New concept of a robot for transmission lines inspection 输电线路巡检机器人的新概念
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745635
Alisson Ribeiro, João Oliveira, R. Abdo
This paper claims to show a new concept of a robot, that uses joints of accessories, helping its displacement along transmission lines, also presenting low cost maintenance and easy operation. There were developed some series of accessories, which turn the robot into a simple engine, capable of moving along transmission lines, moving over suspension and anchoring devices, throughout the ground wire. With the use of those accessories it was possible to achieve a lot of mechanical simplicity and relatively greater weight capacity for batteries, compared to a robot that also uses devices with servo mechanism and arms for obstacle transposition. The robot is expected to inspect long transmission lines, throughout some adverse conditions, such as: severe climate, difficult topography, lack of access roads etc. So, it is shown in this paper the prototype of this robot, its field tests and the analysis of its potential use for transmission lines inspection.
本文提出了一种新的机器人概念,利用附件的关节,帮助其沿着输电线路移动,并且具有低成本维护和易于操作的特点。开发了一些系列的附件,使机器人成为一个简单的发动机,能够沿着输电线路移动,通过悬挂和锚定装置,在整个地线上移动。与使用带有伺服机构和手臂的设备进行障碍物移位的机器人相比,使用这些附件可以实现许多机械简单性和相对更大的电池重量容量。该机器人有望在一些不利条件下检查长距离输电线路,例如:恶劣的气候,复杂的地形,缺乏通道等。因此,本文展示了该机器人的原型,现场测试和分析了其在输电线路检测中的潜在应用。
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引用次数: 4
Automatic diagnosis system of transmission line abnormalities and defects based on UAV 基于无人机的输电线路异常与缺陷自动诊断系统
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745632
Fan Zhang, Yabo Zhao, W. Wang, Peng Li, Qiaoyun Lin, Lingao Jiang
The abnormalities and detects of transmission line based on UAV is an important part of transmission line detection. In order to improve the efficiency of detection, the detection system is introduced. Firstly, the method of histogram specification is proposed to eliminate the influence of flog weather. And image stitching is used to get the whole tower. Secondly, with the help of Gestalt perceptual algorithm, the tower, insulator and transmission lines can be detected efficiently and the defection of those parts would be detected based on parts' features. Lastly, the report presents automatically after detection process. The experimental results show the system is able to powerful to implement the items of transmission line diagnosis and tremendously improve the efficiency.
基于无人机的传输线异常检测是传输线检测的重要组成部分。为了提高检测效率,介绍了该检测系统。首先,提出了直方图规范的方法来消除大雾天气的影响;通过图像拼接得到整个塔。其次,利用格式塔感知算法对铁塔、绝缘子、输电线路进行有效检测,并根据部件的特征检测出部件的缺陷;最后,检测过程完成后,报告自动呈现。实验结果表明,该系统能够很好地实现输电线路诊断的各项任务,大大提高了工作效率。
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引用次数: 13
An innovative localization system of transformer substation automation robots based on pattern recognition and ICP algorithm 基于模式识别和ICP算法的变电站自动化机器人定位系统
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745622
Xiaolu Tian, Fang Hua, Tao Wang
This paper proposes a novel, laser-based localization method for the autonomous mobile robot in transformer substations. Iterative closet point (ICP) algorithm has been widely used in current laser localization system for locating the mobile robot. However, after initialization, current localization system cannot finish positioning without human assistance. There is a growing interest in finding an effective way to improve the stability and correctness of laser system. We describe a method that combines the pattern recognition with laser localization system. Robot positioning in feature map is to search the relative distance and orientation to landmarks.
提出了一种基于激光的变电站自主移动机器人定位方法。迭代封闭点(ICP)算法在当前的激光定位系统中被广泛应用于移动机器人的定位。然而,在初始化之后,目前的定位系统在没有人工辅助的情况下无法完成定位。如何有效地提高激光系统的稳定性和准确性已成为人们日益关注的问题。提出了一种将模式识别与激光定位系统相结合的方法。机器人在特征地图中的定位是搜索到地标的相对距离和方向。
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引用次数: 1
Research of thermal management technology for battery of robot working in alpine region 高寒地区工作机器人电池热管理技术研究
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745654
Jina Cao, Chao-Chao Li, D. Huang, Huadong Zhang, Yongbo Liu, Xiao Yang
As the power source of robot, the temperature characteristics of the lithium-ion battery directly affect the robot working performance. The thermal characteristics of lithium-ion battery have been intensively studied through both temperature rise tests and the discharging tests, and the PTC thermal management system of power battery was designed to enhance the performance of robot. Battery surface heat distribution demonstrated that battery surface temperature difference was less than 0.5°C because of aluminum thermal conductivity, and the discharging test showed that the PTC thermal management system could heat the lithium-ion battery pack effectively, which could deliver a capacity of 47Ah at -20°C, about 93% at 20°C.
锂离子电池作为机器人的动力源,其温度特性直接影响到机器人的工作性能。通过温升试验和放电试验,深入研究了锂离子电池的热特性,设计了动力电池PTC热管理系统,提高了机器人的性能。电池表面热分布表明,由于铝的导热性,电池表面温差小于0.5℃,放电测试表明,PTC热管理系统可以有效地加热锂离子电池组,在-20℃时可提供47Ah的容量,在20℃时可提供约93%的容量。
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引用次数: 0
Optimization design of the multi-unit serial inspection robot for power transmission line 输电线路多机组串联巡检机器人的优化设计
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745637
Guanghong Tao, L. Fang, Xuxin Lin
Regarding the problems that multi-unit serial inspection robot based on parallelogram mechanism(PM) has more driving motors and larger structure size, a novel driving PM method with single motor and cables is proposed based on the kinetic characteristic of parallelogram. Comprehensively concerning the single motor driving method of PM, procedure of crossing obstacle and obstacle size, optimization design results of the robot mechanism parameters were solved out with multi-objective optimization algorithm. The comparison results demonstrate that the optimized robot has less driving motors and its size is reduced clearly.
针对基于平行四边形机构的多单元串联巡检机器人驱动电机多、结构尺寸大的问题,基于平行四边形的运动特性,提出了一种单电机、单缆驱动并联巡检机器人的新方法。综合考虑永磁机器人的单电机驱动方式、越障过程和障碍物大小,采用多目标优化算法求解机器人机构参数的优化设计结果。对比结果表明,优化后的机器人驱动电机数量较少,体积明显减小。
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引用次数: 3
A visrual 3D modelling system for the robot autonomous obstacle negotiation in substation 变电站机器人自主越障的可视化三维建模系统
Pub Date : 2016-10-01 DOI: 10.1109/CARPI.2016.7745618
Chao-Chao Li, Li Li, Guanbin Wu, Naiyuan Xu, Hang Gao, Guowen Tang
The inspection robot is an autonomous robotic system for inspecting substation equipment to help or replace workers. In order to do the navigation and obstacle negotiating autonomously instead remote control, a stereo vision based 3D mapping system for the measurement of the environment is development. An original mapping and location system by lacer has applied on the robot for the location the robot's pose and navigation in the global frame. We construct a local 3D grid map of the robot's current pose also in the limited distance range. The vision system could capture the level ground, inclined ramp, and the obstacle providing enough information for the autonomous negotiation by the new tracked inspection robot in substation.
巡检机器人是一种自主机器人系统,用于巡检变电站设备,以帮助或取代工人。为了实现车辆的自主导航和越障,代替远程控制,开发了一种基于立体视觉的环境三维测绘系统。在机器人上应用了一种新颖的激光测绘定位系统,实现了机器人在全局框架内的姿态定位和导航。我们也在有限距离范围内构建了机器人当前姿态的局部三维网格图。该视觉系统能够捕捉到变电站的平地、倾斜坡道和障碍物,为履带式巡检机器人的自主通过提供足够的信息。
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引用次数: 3
期刊
2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)
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