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constraint precedence
相关语句
  约束优先级
     Multi-layer measurement schemes such as assembly intent acquisition, constraint precedence judge, constraint type attribute matching, constraint parameter matching, destination position matching and constraint validity checking were adopted to improve the automatic geometry constraint recognition's efficiency and veracity very well.
     该方法通过装配意图获取、约束优先级判断、约束类型匹配、约束参数匹配、约束位置匹配和约束有效性检查等分层判断机制,有效地提高了几何约束自动识别的效率和准确性。
短句来源
  相似匹配句对
     The Generation of Assembly Precedence Constraint Based on Knowledge
     基于知识的装配前趋约束图的生成
短句来源
     Precedence constraint is classified after the mathematical notation is given.
     在给定了在前约束的数学表示法的基础上,根据约束关系的不同,对在前约束进行了系统的分类。
短句来源
     Constraint Processing
     约束问题求解
短句来源
     On Liability Constraint
     略论责任约束
短句来源
     THE GENERALIZED PRECEDENCE GRAMMAR
     广义优先文法
短句来源
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To deal with low efficiency and veracity of the automatic geometry constraint recognition technology, a multi-layer automatic geometry constraint recognition algorithm was proposed. Multi-layer measurement schemes such as assembly intent acquisition, constraint precedence judge, constraint type attribute matching, constraint parameter matching, destination position matching and constraint validity checking were adopted to improve the automatic geometry constraint recognition's efficiency...

To deal with low efficiency and veracity of the automatic geometry constraint recognition technology, a multi-layer automatic geometry constraint recognition algorithm was proposed. Multi-layer measurement schemes such as assembly intent acquisition, constraint precedence judge, constraint type attribute matching, constraint parameter matching, destination position matching and constraint validity checking were adopted to improve the automatic geometry constraint recognition's efficiency and veracity very well. The proposed algorithm have been verified in the self-developed system named Virtual Assembly Process Planning(VAPP) System, and this VAPP system has been applied in assembly process planning of aerospace products.

针对基于几何约束自动识别的零部件精确定位技术中存在的识别效率和准确性不高的问题,提出了一种分层的几何约束自动识别方法。该方法通过装配意图获取、约束优先级判断、约束类型匹配、约束参数匹配、约束位置匹配和约束有效性检查等分层判断机制,有效地提高了几何约束自动识别的效率和准确性。相关方法已经在虚拟装配工艺规划系统中进行了验证,并已应用到航天产品的虚拟装配工艺规划中。

 
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