多品种小批量机加车间生产任务执行情况可视化动态监控系统研究及应用
发布时间：2018-07-25 20:46
【摘要】：随着市场竞争日益激烈以及客户个性化多样化需求的不断提高，多品种小批量加工生产已逐渐成为广大机加车间的主要生产模式。多品种小批量机加车间生产过程涉及的加工设备数量多，工艺路线复杂，受资源有限性影响较大，具有随机性、动态性、不确定性、多目标性等特点。而机加车间通常是采取二维图表和数据报表的方式跟踪监控生产任务执行情况，导致车间监控能力不足，可视化程度较低、生产进度信息实时性差，严重影响了生产调度优化和生产优化配置等问题。因此，机加车间迫切需要一种能动态显示大量底层工作信息，直观了解生产任务执行情况，准确掌握产品生产动态的可视化动态监控系统，使企业管理层能动态掌握车间生产信息，，合理分配制造资源，及时调整生产计划，达到提高企业生产效率和制造水平的目的。本文结合多品种小批量机加车间进行生产执行情况可视化动态监控的困难和需求，对机加车间生产执行情况可视化动态监控的方法及其支持系统进行了探讨与研究。 首先，在分析了多品种小批量机加车间生产任务执行情况可视化监控现状和需求的基础上，提出了基于flexsim仿真软件的车间生产执行情况可视化监控思想，并研究构建了该系统的体系结构、功能结构、运行模式。 其次，建立了基于Flexsim的机加车间生产执行情况动态监控系统的实现的总体技术框架，并对基于XML的系统间数据集成和共享机制，基于扩展随机高级判断Petri网（ESHLEP-N）的冲压机器关系建模技术以及基于flexsim的车间生产执行情况虚拟仿真实现技术进行了研究，在此基础上对构建冲压车间生产任务执行情况可视化监控系统进行了研究。 最后，基于以上研究，结合重庆某汽配企业机加车间的具体需求，设计和开发一种多品种小批量机加车间生产任务执行情况可视化监控系统，并在该企业进行了实施和应用，取得了良好的应用效果。
[Abstract]:With the increasingly fierce competition in the market and the increasing demand of individual customers, multi-variety and small-batch production has gradually become the main production mode of the general machine processing workshop. The production process of multi-variety and small-batch machining workshop involves a large number of processing equipment, complex process route, and is greatly influenced by limited resources. It has the characteristics of randomness, dynamics, uncertainty, multi-objective and so on. The machine workshop usually uses two-dimensional charts and data reports to track and monitor the implementation of production tasks, which leads to insufficient monitoring ability, low visualization, and poor real-time production progress information. The problems such as production scheduling optimization and production optimization configuration are seriously affected. Therefore, there is an urgent need for a visual dynamic monitoring system that can dynamically display a large number of underlying work information, intuitively understand the execution of production tasks, and accurately grasp the production dynamics of products. The management of the enterprise can grasp the workshop production information dynamically, allocate the manufacturing resources reasonably, adjust the production plan in time, and achieve the purpose of improving the production efficiency and manufacturing level of the enterprise. According to the difficulties and requirements of visualized dynamic monitoring of production execution in multi-variety and small-batch machining workshop, this paper discusses and studies the method and supporting system of visualized dynamic monitoring of production execution in multi-variety and small-batch machining workshop. Firstly, on the basis of analyzing the present situation and demand of visual monitoring of production task in multi-variety and small-batch machine adding workshop, the idea of visual monitoring and control of workshop production execution based on flexsim simulation software is put forward. The architecture, function structure and operation mode of the system are also studied and constructed. Secondly, the overall technical framework of the implementation of the dynamic monitoring system for the production execution of the machine and plant based on Flexsim is established, and the mechanism of data integration and sharing among the systems based on XML is analyzed. The relationship modeling technology of stamping machine based on extended stochastic high-level judgment Petri net (ESHLEP-N) and the virtual simulation technology of workshop production execution based on flexsim are studied. On the basis of this, the visual monitoring system of production task in stamping workshop is studied. Finally, based on the above research and combined with the specific needs of the machine processing workshop of a certain automobile parts enterprise in Chongqing, a visual monitoring system for the implementation of production tasks in a multi-variety and small batch machining workshop is designed and developed, and the system is implemented and applied in this enterprise. Good results have been obtained.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH186;TP277
本文编号：2145038
[Abstract]:With the increasingly fierce competition in the market and the increasing demand of individual customers, multi-variety and small-batch production has gradually become the main production mode of the general machine processing workshop. The production process of multi-variety and small-batch machining workshop involves a large number of processing equipment, complex process route, and is greatly influenced by limited resources. It has the characteristics of randomness, dynamics, uncertainty, multi-objective and so on. The machine workshop usually uses two-dimensional charts and data reports to track and monitor the implementation of production tasks, which leads to insufficient monitoring ability, low visualization, and poor real-time production progress information. The problems such as production scheduling optimization and production optimization configuration are seriously affected. Therefore, there is an urgent need for a visual dynamic monitoring system that can dynamically display a large number of underlying work information, intuitively understand the execution of production tasks, and accurately grasp the production dynamics of products. The management of the enterprise can grasp the workshop production information dynamically, allocate the manufacturing resources reasonably, adjust the production plan in time, and achieve the purpose of improving the production efficiency and manufacturing level of the enterprise. According to the difficulties and requirements of visualized dynamic monitoring of production execution in multi-variety and small-batch machining workshop, this paper discusses and studies the method and supporting system of visualized dynamic monitoring of production execution in multi-variety and small-batch machining workshop. Firstly, on the basis of analyzing the present situation and demand of visual monitoring of production task in multi-variety and small-batch machine adding workshop, the idea of visual monitoring and control of workshop production execution based on flexsim simulation software is put forward. The architecture, function structure and operation mode of the system are also studied and constructed. Secondly, the overall technical framework of the implementation of the dynamic monitoring system for the production execution of the machine and plant based on Flexsim is established, and the mechanism of data integration and sharing among the systems based on XML is analyzed. The relationship modeling technology of stamping machine based on extended stochastic high-level judgment Petri net (ESHLEP-N) and the virtual simulation technology of workshop production execution based on flexsim are studied. On the basis of this, the visual monitoring system of production task in stamping workshop is studied. Finally, based on the above research and combined with the specific needs of the machine processing workshop of a certain automobile parts enterprise in Chongqing, a visual monitoring system for the implementation of production tasks in a multi-variety and small batch machining workshop is designed and developed, and the system is implemented and applied in this enterprise. Good results have been obtained.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH186;TP277
【引证文献】
相关期刊论文 前1条
1 邢秀红;;基于可视化监控软件的设计与开发[J];硅谷;2013年09期
本文编号：2145038
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