工业互联网业务过程行为中的协同聚合与智能化提升方法  

Collaborative aggregation and intelligent improving method in business process of industrial Internet

作　　者：刘博文 蒋旭桐 窦万春[1] LIU Bowen;JIANG Xutong;DOU Wanchun(Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China)

机构地区：[1]南京大学软件新技术国家重点实验室,江苏南京210023

出　　处：《计算机集成制造系统》2024年第8期2688-2696,共9页Computer Integrated Manufacturing Systems

基　　金：国家重点研发计划资助项目(2020YFB1707600).

摘　　要：在工业互联网业务过程中,用户与制造商、供应商、产品、设备通过工业互联网平台紧密相连。当用户购买的工业产品发生故障时,可以通过平台向制造商快速反馈故障并请求协助。然而,现有的工业互联网平台还未能很好地支持用户产品故障后发生的运维过程。为应对这一挑战,提出了一个工业互联网业务过程行为中的协同聚合方法,完善地提供了工业互联网平台对用户故障上报、企业故障入库、零件调配全部过程的支持。利用遗传算法,实现了一个工业互联网业务过程行为聚合的智能化提升方法,能够有效地为零件调配选择供应商。通过模拟实验,测试了方法的性能。In the business process of industrial Internet,users and manufacturers,suppliers,products and equipment are closely connected through the Industrial Internet platform.When the industrial products purchased by users fail,they can quickly feedback the failure and request assistance from the manufacturer through the platform.However,the existing industrial Internet platforms have not well supported the operation and maintenance process after user product failure.To meet this challenge,a collaborative aggregation method was proposed in the business process behavior of industrial Internet,which provided the support of industrial Internet platform for the whole process of user fault reporting,enterprise fault warehousing and parts deployment.In addition,the genetic algorithm was used to implement an intelligent improvement method in business process behavior aggregation of industrial Internet,which could effectively select suppliers for parts deployment.In this paper,a simulation experiment was carried out to test the performance of the method.

关 键 词：工业物联网 智能聚合 故障处理 遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]