基于改进Apriori算法的装配工艺规则挖掘技术

Assembly Process Rule Mining Technology Based on Improved Apriori Algorithm

船用柴油机作为船舶关键部件之一,其目前装配工艺设计主要还是依赖工艺人员经验,存在设计效率低下,工艺规范化程度低等问题。针对其目前存在的问题,文章提出一种改进的Apriori算法。其算法核心思想是在对候选事务集剪枝时,降低算法的时间复杂度,提高船用柴油机装配工艺文件中关联规则挖掘效率。其对已有装配工艺文件进行数据处理,结合数据挖掘技术,对工艺文件进行挖掘分析,建立装配规则库,是实现装配工艺智能化设计的关键技术之一。以某船用柴油机制造企业的历史机型船用柴油机气缸盖装配工艺文件为例,验证了改进的Apriori算法和工艺规则挖掘技术在挖掘船用柴油机装配工艺文件关联规则时的可行性和有效性。

Marine diesel engine is one of the key components of the ship.Its current assembly process design mainly depends on the experience of the craftsman.There are problems such as low design efficiency and low process standardization.Aiming at the current problems,the paper proposes an improved Apriori algorithm.The core idea of the algorithm is to reduce the time complexity of the algorithm and improve the mining efficiency of association rules in the marine diesel engine assembly process file when pruning the candidate frequent transaction set.It performs data processing on existing assembly process files,combines data mining technology,mines and analyzes process files,and establishes assembly rule base,which is one of the key technologies to realize intelligent design of assembly process.Taking the assembly process document of the historical model marine diesel engine cylinder head of a marine diesel engine manufacturing enterprise as an example,the feasibility and effectiveness of the improved Apriori algorithm and the process rule mining technology in mining association rules of marine diesel engine assembly process files are verified.