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基于视觉传感的焊接电流及电压检测控制方法

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焊接电流及电压是影响焊接质量的重要参数,为了提高焊接质量,研究了一种基于视觉传感技术的焊接电流及电压在线检测及精确控制方法.首先,分析焊接电流及电压图像的预处理,分割出了焊接电流及电压对应的字符图像;然后,使用了一种基于投影特征的焊接电流及电压对应字符的识别方法,并进一步实现了焊接电流及电压的识别;最后,研究了基于专家控制的焊接电流及电压自动控制方法,可提高焊接电流及电压自动调节的稳定性、准确性和快速性.结果表明,利用文中的方法,在线识别焊接电流及电压的准确度高于 99.75%,可实现焊接前及焊接过程中焊接电流及电压的自动检测控制,而且焊道尺寸根据需要在线调整,有助于提高焊接的自动化程度及焊接质量.
Welding current and voltage detection and control method based on visual sensing
Welding current and voltage are important parameters that affect welding quality.In order to improve welding quality,a method of on-line detection and accurate control of welding current and voltage based on visual sensing technology has been studied in this paper.Firstly,the preprocessing of welding current and voltage image is studied,and the character image corresponding to welding current and voltage is segmented.Then,a recognition method of corresponding characters of welding current and voltage based on projection feature is studied,and the recognition of welding current and voltage is further realized.Finally,the automatic control method of welding current and voltage based on expert control is studied,which can improve the stability,accuracy and rapidity of automatic regulation of welding current and voltage.The experimental results show that using the method studied in this paper,the accuracy of online identification of welding current and voltage is higher than 99.75%.It can achieve automatic detection and control of welding current and voltage before and during welding,and can adjust the weld bead size online as needed,which helps to improve the automation level and welding quality.

vision sensing technologywelding current and voltageonline detectionautomatic controlwelding automation

乐健、李发园、束志恒、曾明如、张华

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南昌大学,信息工程学院,南昌,330031

上海工程技术大学,上海市大型构件智能制造机器人技术协同创新中心,上海,201620

视觉传感技术 焊接电流及电压 在线检测 自动控制 焊接自动化

2024

焊接学报
中国机械工程学会 中国机械工程学会焊接学会 机械科学研究院哈尔滨焊接研究所

焊接学报

CSTPCD北大核心
影响因子:0.815
ISSN:0253-360X
年,卷(期):2024.45(11)