<p>Resistance spot welding (RSW) is susceptible to high energy consumption, defects in the weld nugget, and difficulties in monitoring due to the influence of various factors. This study proposes a digital twin-based method for RSW process control and designed its architecture. First, an RSW multi-source heterogeneous data acquisition and mapping scheme was proposed. Subsequently, an RSW anomaly monitoring scheme based on virtual-real interaction and cloud-edge collaboration was proposed to effectively monitor anomalies throughout the entire RSW process. Then, an RSW process control strategy driven by digital twins and cloud-edge collaboration was proposed, enabling real-time adjustment of welding parameters to improve welding quality. Finally, the effectiveness of the proposed method was verified by applying it to the automobile welding workshop.</p>