检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:田丰 TIAN Feng(Xizang Shouchuang Energy Industry Group Co.,Ltd.,Lhasa,Xizang 850000,China)
机构地区:[1]西藏守创能源产业集团有限公司,西藏拉萨850000
出 处:《自动化应用》2024年第19期35-36,43,共3页Automation Application
摘 要:常规的配电线路基建施工现场危险源自动识别采用目标识别形式,存在效率过低的问题,导致后期的误识比增大,为此,提出基于机器视觉的配电线路基建施工现场危险源自动识别方法。根据当前的自动识别要求,先进行图像采集,通过边缘标定的方式,提升整体的识别效率,完成危险区域的边缘识别。在此基础上,设计机器视觉危险源自动识别模型,采用突变动态定位处理的方式来实现自动识别。实际应用表明,设计的配电线路基建施工现场危险源自动识别效果佳,针对性明显提升。The conventional automatic hazard identification of distribution line infrastructure construction site will adopt the form of target identification,which has the problem of too low efficiency,resulting in the increase of the error ratio in the later stage.Therefore,the automatic identification method of hazard source in power distribution line infrastructure construction site based on machine vision is proposed.According to the current automatic recognition requirements,image acquisition is carried out first,and the overall recognition efficiency is improved through edge calibration to complete the edge recognition of dangerous areas.On this basis,the automatic recognition model of machine vision hazard source is designed,and the automatic recognition is realized by the method of mutation dynamic positioning.Practical application has shown that the designed distribution line infrastructure construction site hazard automatic identification effect is good,pertinence has been significantly improved.
关 键 词:机器视觉 配电线路 基建施工 危险源识别 自动感应识别
分 类 号:TP311.5[自动化与计算机技术—计算机软件与理论]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.38