针对等离子设备与机器人结合处理铸造件的冒口时，由于模具的精度等原因导致冒口存在差异，需要提供精确的轨迹与位姿使等离子设备实现起弧并正确作业的问题，研究一种基于工艺参数库的方法。该方法由工艺参数库、解析模块、相似性度量模块、路径生成和参数模块组成，通过构建两阶段比较法，快速从工艺参数库中筛选出目标。通过路径生成算法与深度学习算法得到与点云模型相匹配的作业路径与工艺参数。结果表明，该方法能够根据工件正确得到作业轨迹与工具位姿，使车钩铸造件的清理工作能够减少人工干预，降低操作的复杂性，提升作业的可靠性和安全性。

In order to solve the problem of combining plasma equipment with robots to process casting risers, where variations in riser dimensions due to mold accuracy necessitate precise trajectories and poses for proper arc initiation and operation, a method based on a process parameter library was employed for investigation. This method was comprised of process parameter library, analysis module, similarity measurement module, path generation module, and parameter module. Through the construction of two-stage comparison method, target parameters can be quickly filtered from the library. Using path generation algorithms and deep learning algorithms, working paths and process parameters matching the point cloud model were obtained. The results show that this method can accurately generate operational trajectories and poses based on the workpiece, enabling the reduction of manual intervention, lowering of operational complexity, and enhancement of the reliability and safety of the cleaning operations for coupler castings.