Considering that each computer-aided design (CAD) system has independent geometric dimensioning and tolerancing modeling method, precision information model generated by different CAD systems is difficult to be shared and reused by the downstream precision analysis system. To tackle the problem that tolerance semantic information cannot be transmitted through data exchange standards, this paper aims to propose a novel semantic tolerance screening approach to represent precision information for assembly precision analysis (APA) in the design stage. Based on semantic correlation between tolerance propagation and accumulation, precision information of multi-parts is preliminarily screened out. Then by utilizing semantic web rule language rules to determine the type and position of tolerance zones, multiple tolerances existing on a precision feature surface are refinedly screened out. Finally, a formal tolerance screening ontology, named ToS-Ontology, is generated for performing APA of complex products. The effectiveness of the proposed approach is demonstrated by a practical example, which is to calculate center distance between two holes to ensure bolts can pass smoothly in the limit case.

考虑到每个计算机辅助设计（CAD）系统都具有独立的几何尺寸标注和公差建模方法，因此由不同CAD系统生成的精度信息模型很难被下游精度分析系统共享和重用。为了解决公差语义信息无法通过数据交换标准传递的问题，本文旨在提出一种新颖的语义公差筛选方法，以在设计阶段代表装配精度分析（APA）的精度信息。基于公差传播与累积之间的语义相关性，初步筛选出多部分的精度信息。然后，通过利用语义网络规则语言规则来确定公差带的类型和位置，精确地筛选出精密特征表面上存在的多个公差。最后，生成了一个名为ToS-Ontology的正式公差筛选本体，用于执行复杂产品的APA。一个实际的例子证明了该方法的有效性，该例子是计算两个孔之间的中心距离，以确保螺栓在极限情况下可以顺利通过。