毛柯夫, 苑明海, 孙超, 裴凤雀, 顾文斌. 基于扰动事件的智能车间生产管理系统研究[J]. 制造技术与机床, 2022, (9): 97-103. DOI: 10.19287/j.mtmt.1005-2402.2022.09.015
引用本文: 毛柯夫, 苑明海, 孙超, 裴凤雀, 顾文斌. 基于扰动事件的智能车间生产管理系统研究[J]. 制造技术与机床, 2022, (9): 97-103. DOI: 10.19287/j.mtmt.1005-2402.2022.09.015
MAO Kefu, YUAN Minghai, SUN Chao, PEI Fengque, GU Wenbin. Research on intelligent workshop production management system based on disturbance event[J]. Manufacturing Technology & Machine Tool, 2022, (9): 97-103. DOI: 10.19287/j.mtmt.1005-2402.2022.09.015
Citation: MAO Kefu, YUAN Minghai, SUN Chao, PEI Fengque, GU Wenbin. Research on intelligent workshop production management system based on disturbance event[J]. Manufacturing Technology & Machine Tool, 2022, (9): 97-103. DOI: 10.19287/j.mtmt.1005-2402.2022.09.015

基于扰动事件的智能车间生产管理系统研究

Research on intelligent workshop production management system based on disturbance event

  • 摘要: 智能车间异构制造资源众多,车间扰动繁杂,生产服务模块更加多样且复杂,因此为了实现对车间不同功能模块的清晰化管理,设计开发一种基于扰动事件的智能车间生产管理系统尤为重要。根据用户对产品独特性和时效性要求,提出了基于智能车间扰动事件的调度管理系统业务流程和总体架构。采用B/S(Browser/Server)体系结构,并基于Visual Studio.NET集成平台,使用Web ASP.NET进行数据库开发,从五大功能模块进行设计,实现车间制造数据信息的充分利用,并对系统的主要功能界面进行展示,最后验证智能制造车间对异常事件监控处理及生产调度模型的可行性和合理性。

     

    Abstract: Intelligent workshop heterogeneous manufacturing resources and workshop disturbance are complex. Moreover, production service modules are more diverse and complex, so in order to realize the clear management of different functional modules in the workshop, design and development of an intelligent workshop production management system based on disturbance events is particularly important. According to users’ requirements for uniqueness and timeliness of products, the business flow and overall architecture of intelligent workshop scheduling management system based on disturbance events were proposed. Using B/S(Browser/Server) architecture, and based on VisualStudio.NET integration platform, using WebASP.NET database development, five functional modules to realize the full use of workshop manufacturing data information were designed, and the main functional interface of the system was displayed.The feasibility and rationality of intelligent manufacturing workshop monitoring and processing abnormal event and production scheduling model are verified.

     

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