Abstract: Addressing the intricate problem of inter-service relationships in the process of manufacturing service composition within the industrial Internet of things,the rule constraints was modeled,a standardized interface model for manufacturing service components was established,and a rule chain-based service composition method was proposed.This approach could extract rule constraints from tasks and optimize rule structure using Petri models to establish an efficient rule chain supporting superior service composition structures.Additionally,multi-objective optimization techniques were employed to filter candidate services to generate service composition solutions compliant with rule constraints.Experimental validation and comparative analysis confirmed the method's substantial flexibility and its capability to formulate superior service composition solutions.

Key words: manufacturing services, service composition, rule chains, service composition optimization

摘要： 面向工业互联网制造服务组合过程当中服务之间关联性难以构建的问题,对制造服务组合的规则约束进行了建模,并定义了制造服务组件标准化接口模型,应用规则链和多目标优化算法,提出一种基于规则链的服务组合方法。该方法能够提取出任务中的规则约束,并应用Petri模型对规则结构进行优化,形成规则链以支持较优的服务组合结构。同时,应用多目标优化方法进行候选服务的筛选,生成满足规则约束的服务组合方案。通过实验验证和对比分析,该方法具有较大的灵活性,并能形成较优服务组合方案。

关键词: 制造服务, 服务组合, 规则链, 服务组合优化