新型巡检机器人输煤栈桥智能识别技术及应用效果  

Intelligent recognition technology and application effect of new inspection robot coal transport trestle

作　　者：唐士奇[1] TANG Shiqi(Jiangsu Sheyang Port Power Generation Co.,Ltd.,Sheyang 224346,China)

机构地区：[1]江苏射阳港发电有限责任公司,江苏射阳224346

出　　处：《中国高新科技》2025年第3期16-18,共3页

摘　　要：输煤栈桥内部空间有限,利用巡检机器人对其内部进行检测具有较高的可行性。文章在设计机器人的基础上重点对图像识别技术的应用与实现进行探讨。研究发现,巡检机器人需要基于图像、红外和容积进行图像识别,从而对栈桥内的环境、设备和风险进行判断。通过给出具体的算法并进行人工对比认证的方式,发现文章设计的机器人识别的总体效率超过90%,适于应用与推广。The interior space of coal transport trestle is limited,so it is feasible to use inspection robot to inspect the interior of the trestle.This paper focuses on the application and implementation of image recognition technology on the basis of robot design.The research finds that the inspection robot needs image recognition,infrared and volume,so as to judge the environment,equipment and risk inside the trestle bridge.By giving the existing algorithm and conducting manual comparison and certification,it is found that the overall efficiency of the robot recognition designed in this paper exceeds 90%,which is suitable for application and promotion.

关 键 词：巡检机器人 输煤栈桥 图像识别 应用效果 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]