基于阿里云的电阻点焊数据监测系统设计
Design of Data Monitoring System for Resistance Spot Welding Based on Alibaba Cloud
- 2022年52卷第2期 页码:78-83
收稿:2021-10-10,
修回:2022-01-20,
纸质出版:2022-02-20
DOI: 10.7512/j.issn.1001-2303.2022.02.11
移动端阅览

浏览全部资源
扫码关注微信
收稿:2021-10-10,
修回:2022-01-20,
纸质出版:2022-02-20
移动端阅览
基于阿里云物联网平台和MQTT(消息队列遥测传输)通信协议技术,设计了一套以STM32F103VET6单片机为主控核心,以阿里云IoT Studio(物联网应用开发)网页为监测界面的电阻点焊数据监测系统,实现了电阻点焊过程的在线监测和焊接电流、电极压力曲线的远程实时显示。该监测系统的设计分为硬件和软件两个部分,主要内容包括传感器、数据信号处理模块、主控模块、无线传输网络以及阿里云物联网平台等。实测结果表明,该系统能准确地实现对焊接数据的远程实时监测,性能稳定,数据传输丢包率低于1%,为物联网化下的智能化焊接提供了技术支持。
Based on the Alibaba Cloud Internet of Things platform and MQTT (Message Queue Telemetry Transmission) communication protocol technology
a set of resistance spot welding data with STM32F103VET6 microcontroller as the main control core and Alibaba Cloud IoT Studio (Internet of Things Application Development) webpage as the monitoring interface is designed The monitoring system realizes online monitoring of resistance spot welding process and remote real-time display of welding current and electrode pressure curve. The design of the monitoring system is divided into two parts: hardware and software. The main content includes sensors
data signal processing modules
main control modules
wireless transmission networks
and Alibaba Cloud Internet of Things platform. The actual measurement results show that the system can accurately realize remote real-time monitoring of welding data
with stable performance
and the data transmission packet loss rate is less than 1%
which provides technical support for intelligent welding under the Internet of Things.
龙晋 . 物联网技术在工业自动化中的应用分析 [J]. 电子元器件与信息技术 , 2018 , 2 ( 8 ): 78 - 80 .
LONG Jing . Analysis of the Application of Internet of Things Technology In Industrial Automation [J]. Electronic Component and Information Technology , 2018 , 2 ( 8 ): 78 - 80 .
文静 , 贾洪德 . 电阻点焊动态信号实时监测及焊接质量预测 [J]. 电焊机 , 2020 , 50 ( 5 ): 102 - 106 .
WEN J , JIA H D . Real-time monitoring of dynamic signals and quality prediction for resistance spot welding [J]. Electric Welding Machine , 2020 , 50 ( 5 ): 102 - 106 .
许君 , 李永兵 , 陈关龙 . 轿车车身电阻点焊质量实时监测系统 [J]. 焊接学报 , 2006 , 27 ( 4 ): 41 - 44 .
XU Jun , LI Yongbing , CHEN Guanlong . Welding quality real-time monitoring system for auto-body assembly [J]. Transaction of the China Welding Institution , 2006 , 27 ( 4 ): 41 - 44 .
张磊 , 王博健 , 于静伟 , 等 . 数据采集系统在焊接领域中的应用现状 [J]. 电焊机 , 2020 , 50 ( 12 ): 26 - 31 .
ZHANG L , WANG B J , YU J W , et al . Application status of data acquisition system in welding field [J]. Electric Welding Machine , 2020 , 50 ( 12 ): 26 - 31 .
管景凯 , 杨凯 , 吴敏 , 等 . 电阻点焊焊接监测仪的设计 [J]. 电焊机 , 2018 , 48 ( 10 ): 105 - 109 .
GUAN Jingkai , YANG Kai , WU Min , et al . Design of resistance spot welding monitor [J]. Electric Welding Machine , 2018 , 48 ( 10 ): 105 - 109 .
李伟 . 轿车白车身的电阻点焊质量监测系统设计的研究 [D]. 辽宁 : 沈阳大学 , 2013 .
LI Wei . Study on the design of Resistance Spot Welding Quality Monitoring System for Sedan [D]. Liaoning : Shenyang University , 2013 .
蔡洪丰 . 焊装车间点焊规范参数实时监测系统 [D]. 吉林 : 吉林大学 , 2013 .
CAI Hongfeng . Real-time Moinitoring System for Spot Welding Parameters in Welding Workshop [D]. Jilin : Jilin University , 2013 .
Haghshenas N , Moshayedi H . Monitoring of resistance spot welding process [J]. Experimental Techniques , 2020 , 44 ( 1 ): 99 - 112 .
Li Ruxiong . Quality monitoring of resistance spot welding based on process parameters [J]. Energy Procedia , 2012 ( 14 ): 925 - 930 .
李鑫磊 . 基于MQTT服务器和ZigBee的管道焊接状态监控系统 [D]. 河北 : 北华航天工业学院 , 2021 .
LI Xinlei . Pipeline welding status monitoring system based on MQTT server and ZigBee [D]. Hebei : North China Institute of Aerospace Engineering , 2021 .
路昊 . 基于云平台的消防设备远程在线监测系统的研究与实现 [D]. 上海 : 东华大学 , 2016 .
LU Hao . The Research and Implement of the Fire-fighting Equipment Remote Online Monitoring System Based on Cloud Platform [D]. Shanghai : Donghua University , 2016 .
王晓兰 , 陈沙沙 . 物联网技术在煤矿设备异常故障监测中的应用研究 [J]. 能源与环保 , 2021 , 43 ( 7 ): 182 - 188 .
WANG Xiaolan , CHEN Shasha . Research on application of Internet of Things technology in monitoring abnormal faults of coal mine equipment [J]. China Energy and Enviromental Protection , 2021 , 43 ( 7 ): 182 - 188 .
刘欢 , 毕道伟 , 刘嘉熙 , 等 . 基于云平台的核电设备监测诊断架构设计与实现 [J]. 制造业自动化 , 2021 , 43 ( 1 ): 68 - 73 .
LIU Huan , BI Daowei , LIU Jiaxi , et al . Design and implementation of monitoring and diagnosis architecture for nuclear power equipment on cloud platform [J]. Manufacturing Automation , 2021 , 43 ( 1 ): 68 - 73 .
编辑部网址: http://www.71dhj.com http://www.71dhj.com
相关作者
相关机构
公网安备11010802024621