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A Tanker Port Positioning Method of Quantitative Loading Automation

机译:大型装载自动化的油轮端口定位方法

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Laser scanning ranging radar is an important tool for machines to perceive the surrounding environment and is widely used in the power, forestry, surveying and mapping industries. At present, the loading of oil and grain oil in our country generally adopts the way of manual loading. The loading arm is inserted into the tank of the tanker for refueling, and the loading operation is very frequent. In order to realize automatic control of grain and oil loading, radar is needed to assist the robot to locate the oil port of the tanker. In this paper, a 360-degree laser scanning ranging radar is used to collect characteristic data of oil hole of tanker for the first time in simulated environment. Cubic spline interpolation was used to smooth and correct the radar scan data. Based on the feature that the distance data of oil port will change rapidly, an edge feature recognition algorithm is proposed to screen and calculate the target point, and then convert it to cartesian coordinate point, which can be used as the positioning target of the robot unit of quantitative loading system. The experimental results show that the method can locate the center of the circle accurately and meet the requirement of feature recognition accuracy.
机译:激光扫描测距雷达是用于察觉周围环境的机器的重要工具,并且广泛用于电力,林业,测绘行业。目前,我国石油和粮油的装载一般采用手动装载方式。装载臂插入油罐机的罐中以进行加油,负载操作非常频繁。为了实现谷物和油负荷的自动控制,需要雷达来帮助机器人定位油罐机的油口。本文采用了360度激光扫描测距雷达,用于在模拟环境中首次收集油轮油孔的特征数据。立方样条插值用于平滑并校正雷达扫描数据。基于距离距离数据的特点是速度迅速改变,建议将边缘要素识别算法屏幕屏幕和计算目标点,然后将其转换为笛卡尔坐标点,可以用作机器人的定位目标定量装载系统的单位。实验结果表明,该方法可以准确地定位圆的中心,并满足特征识别精度的要求。

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