为了实现指针式仪表的机器人自动巡检、读数工作,针对传统方法对指针式仪表起始刻度线、终止刻度线位置提取不够准确,读数不够精准等问题,提出了一种新型仪表读数算法,解决了表盘起始、终止刻度线需要提前预设、传统的Hough直线识别算法偏离指针中心线的难点问题,明显提高了系统读数的准确性;针对现有方法不能判断读表结果可靠度的问题,搭建了基于一致显著性的仪表读数可靠度估计模型,采用聚类思想实现了仪表特征一致显著性关联约束检测,可对仪表读数的可靠度进行估计。实验结果表明:所提出的仪表读数算法准确性更高,所创建的估计模型对读数可靠度的判断稳定可信。

To achieve automatic inspection and reading capabilities of pointer-type meters in robot as the traditional method extracting the position of start and end lines on the pointer meter is not sufficiently accurate, this study proposes a new type of meter reading algorithm, solving the problem for the need of the start and end lines to be preset in advance. The traditional Hough line recognition algorithm deviates from the center line of the pointer, thereby improving the accuracy of system reading. As the reliability of the reading result cannot be assessed using the existing method, this study establishes an instrument for a reliable reading estimation model based on consistent significance. A clustering algorithm is used to achieve a consistent and significant correlation constraint detection of instrument features, which can estimate the reliability of meter readings. The experimental results show that the accuracy of the proposed instrument reading algorithm is high and that the estimated model created is stable and reliable.