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杨昕
Wen Yuan (Primary School Edition) 2020 No.02
中国石油化工股份有限公司天津分公司 天津 300270
能源行业厂际管廊分布于各厂区边缘,管廊途径区域周边环境复杂、大部分均在高空,存在巡检盲区、巡检效率低、人工巡检成本高等问题,针对此类现状,积极探索研究无人机与自动机库相结合的方式,实现厂际管廊无人机全自主智能化巡检,提高巡检效率,提升异常响应能力,实现传统人工巡检向智能巡检的转变。
无人机;厂际管廊;智能巡检;全自主
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Language: 中文
CN:11-9274/G
ISSN:2096-6261
Publication Frequency: 月刊
An academic processing and support platform focusing on journal databases, submission and review, and pre-typesetting.