Research on an Online Intelligent Monitoring System for Resistance Spot Welding Based on Wireless Communication

Resistance spot welding (RSW) faces critical monitoring challenges in industrial applications due to nonlinear coupling characteristics and production line disturbances. This study developed a Zigbee-enabled real-time monitoring system to address the precision limitations of conventional methods in tracking RSW parameters. Using DP780/DP590 dual-phase steel specimens with thickness variations, we implemented a dedicated data acquisition system capturing welding current, voltage, and barometric pressure dynamics. The experimental results demonstrated measurement accuracies within ±0.49% for current, ±0.25% for voltage, and 3.72% average relative error for barometric pressure with stable operational deviations (0.017-0.024 MPa).

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Journal
Sensors
Published
2025-04-23
DOI
https://doi.org/10.3390/s25092658
Primary Topic
Advanced Welding Techniques Analysis
Type
article
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article

Research on an Online Intelligent Monitoring System for Resistance Spot Welding Based on Wireless Communication

Bin Xue, Xuan Zhou, Leigang Han, Baoyan Zhang et al.
Sensors
Advanced Welding Techniques Analysis
article

Research on an Online Intelligent Monitoring System for Resistance Spot Welding Based on Wireless Communication

Bin Xue, Xuan Zhou, Leigang Han, Baoyan Zhang, Shuwan Cui, Feiyang Liu
article en

Abstract

Resistance spot welding (RSW) faces critical monitoring challenges in industrial applications due to nonlinear coupling characteristics and production line disturbances. This study developed a Zigbee-enabled real-time monitoring system to address the precision limitations of conventional methods in tracking RSW parameters. Using DP780/DP590 dual-phase steel specimens with thickness variations, we implemented a dedicated data acquisition system capturing welding current, voltage, and barometric pressure dynamics. The experimental results demonstrated measurement accuracies within ±0.49% for current, ±0.25% for voltage, and 3.72% average relative error for barometric pressure with stable operational deviations (0.017-0.024 MPa).

SensorsVol. 25(9)
Jiamusi University (CN), Guangxi University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 92%
Advanced Welding Techniques Analysis
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Research on an Online Intelligent Monitoring System for Resistance Spot Welding Based on Wireless Communication — Bin Xue, Xuan Zhou, et al. · Sensors (2025) | TGRS Research Map | TGRS