电子科技大学学报2018，Vol.47Issue(1)：60-65,6.DOI:10.3969/j.issn.1001-0548.2018.01.009
匹配输电线路巡检需求的无人机选型研究
Fast Matching Selection Lgorithm of UAV Platform Based on Task Demand of Transmission Line Inspection
王淼 1刘伟东 1李一鹏 2武艺 1李源源 1张忠瑞 3陈明4
作者信息
- 1. 国网通用航空有限公司 北京 昌平区 102209
- 2. 清华大学信息科学技术学院 北京 海淀区 100084
- 3. 国网辽宁省电力有限公司 沈阳 110004
- 4. 国网铁岭供电公司 辽宁 铁岭 112000
- 折叠
摘要
Abstract
In recent years, unmanned aerial vehicle (UAV) is widely used in power industry transmission line inspection. Power transmission lines UAV automation inspection technology has been attracted extensive attention from domestic and foreign research institutions because of its unique advantages. However, the rapid growth of inspection task demand and more and more choices for UAV platforms make it difficult to complete the UAV platform selection rapidly, which usually cost a lot of manpower. For solving this problem, this paper proposes a three-phase framework based on various types neural networks for rapid selection. In the first phase, the adjusted one-hot vector algorithm is presented to transform the description of inspection task into task matrix; in the second phase, the relationship between task matrix and load parameters is constructed by using long short term memory (LSTM) neural network; in the last phase, the UAV platform selection is achieved with decision tree network. Finally, the real-world data are used to validate the effectiveness of the proposed model.关键词
决策树/递归神经网络/输电线路巡检/平台选型/无人机Key words
decision tree/long short term memory (LSTM)/power transmission lines inspection/platform selection/unmanned aerial vehicle分类
信息技术与安全科学引用本文复制引用
王淼,刘伟东,李一鹏,武艺,李源源,张忠瑞,陈明..匹配输电线路巡检需求的无人机选型研究[J].电子科技大学学报,2018,47(1):60-65,6.
