摘要
为摆脱传统印制电路板(printed circuit board,PCB)焊接图像采集系统复杂的操作,庞大笨重且不易携带,误检率高,还需要设计成像光源以及价格昂贵的电荷耦合元件(charge-coupled device,CCD)网络相机作为成像电路,因此采用价格相对友好的互补金属氧化物半导体存储器(complementary metal oxide semiconductor,CMOS)作为焊接图像采集系统的成像模块;ESP8266WiFi通信模块由12 V的锂离子电池供电,实现网络相机与计算机间的通信,并将相机采集的图像传输到上位机软件上进行相关配置;电机驱动模块采用3个步进电机,通过它们之间的协调配合采集图像。使用NX12.0软件设计系统机械结构,并利用3D打印技术实现系统装配,价格低廉。系统采用了模块化的设计方法,结构简单,易携带且可靠性高;最终实现了高精度、高效率的图像采集系统并能实时显示PCB焊接图像。
In order to get rid of the complex operation of the traditional PCB welding image acquisition system,which is bulky and difficult to carry and has a high error detection rate,it is necessary to design an imaging light source and an expensive charge-coupled device network camera as an imaging circuit.Therefore,the relatively inexpensive complementary metal oxide semiconductor is used as the imaging module of the welding image acquisition system.The ESP8266 WiFi communication module is powered by the lithium-ion battery of 12 V,which realizes the communication between the network camera and the computer,and transmits the images collected by the camera to the upper computer software for relevant configuration.The motor drive module uses three stepper motors to collect images through their coordination.NX12.0 software is used to design the mechanical structure of the system,and 3 D printing technology is used to realize the assembly of the system,which is cheap.The system adopts modular design method,simple structure,easy to carry and high reliability;Finally,an image acquisition system with high precision and high efficiency is realized and the PCB welding image can be displayed in real time.
作者
陈艳丽
刘静
杨树蔚
邢静
刘叶楠
任郁苗
闫克丁
Chen Yanli;Liu Jing;Yang Shuwei;Xing Jing;Liu Yenan;Ren Yumiao;Yan Keding(School of Intelligent Science and Information Engineering,Xi'an Peihua University,Xi'an 710065,China;School of Electronics and Information Engineering,Xi'an Technological University,Xi'an 710021,China)
出处
《国外电子测量技术》
北大核心
2022年第4期106-111,共6页
Foreign Electronic Measurement Technology
基金
陕西省教育厅专项科研计划(21JK0819)
陕西省重点研发计划(2020GY-055)
国家自然科学基金(11804263)项目资助
