物聯網環(huán)境下基于Petri網的分布式制造資源感知和過程控制研究
發(fā)布時間：2018-12-23 21:13
【摘要】：隨著市場個性化和快速交貨需求的加劇,傳統集中式的制造模式正在朝著分布式的制造模式發(fā)展。研究者們相繼提出了多代理制造系統、合弄(holon)制造系統的概念和框架,擬通過構建具有自治性、協作性和動態(tài)性的智能體,并通過智能體之間的感知和交互來適應制造環(huán)境的變化,從而使制造系統具備自適應、自組織和快速響應能力。然而,由于現有分布式柔性制造系統缺乏有效的資源自主感知和智能控制機制,導致其在實際的工業(yè)過程中應用較少。 鑒于此,論文在分析現有分布式柔性制造系統在資源感知和過程控制方面存在的問題的基礎上,首先對制造過程和資源進行分析,將制造資源分為主動資源和被動資源,為主動資源配置終端控制機、RFID讀寫器等設備,為被動資源配置RFID標簽；接著為各類制造資源構建基于Petri網的實時狀態(tài)和行為邏輯模型,對工件制造過程所需關鍵信息進行設計,將設計信息及Petri網模型轉化為可存儲的XML文件,并通過RFID等技術嵌入到制造資源中,使制造資源成為具有高度自治性的智能體；最后,研究各制造資源的交互過程,進一步詳細闡述上述方法的有效性和可行性,并設計物聯網環(huán)境下基于Petri網的制造資源感知和過程控制系統。上述技術和方法研究為制造資源的自動感知和過程控制奠定了一定的理論基礎。
[Abstract]:With the aggravation of market individuation and rapid delivery demand, the traditional centralized manufacturing model is developing towards distributed manufacturing mode. Researchers have proposed the concept and framework of multi-agent manufacturing system (holon), which is designed to construct autonomous, cooperative and dynamic agents. Through the perception and interaction between agents to adapt to the changes of manufacturing environment, the manufacturing system has the ability of self-adaptation, self-organization and rapid response. However, due to the lack of effective resource autonomous sensing and intelligent control mechanism, the existing distributed flexible manufacturing systems have less application in the actual industrial process. In view of this, on the basis of analyzing the problems of resource perception and process control in the existing distributed flexible manufacturing system, firstly, the manufacturing process and resources are analyzed, and the manufacturing resources are divided into active and passive resources. For active resource configuration terminal control machine, RFID reader and other devices, for passive resources configuration RFID tags; Then, the real-time state and behavior logic model based on Petri net is constructed for all kinds of manufacturing resources. The key information of the manufacturing process is designed, and the design information and Petri net model are transformed into stored XML files. The manufacturing resources are embedded into the manufacturing resources through RFID and other technologies, which make manufacturing resources become a highly autonomous agent. Finally, the interactive process of manufacturing resources is studied, and the effectiveness and feasibility of the above methods are described in detail, and a manufacturing resource awareness and process control system based on Petri net is designed in the Internet of things environment. These techniques and methods lay a theoretical foundation for automatic perception and process control of manufacturing resources.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP301.1;TB49
本文編號：2390268
[Abstract]:With the aggravation of market individuation and rapid delivery demand, the traditional centralized manufacturing model is developing towards distributed manufacturing mode. Researchers have proposed the concept and framework of multi-agent manufacturing system (holon), which is designed to construct autonomous, cooperative and dynamic agents. Through the perception and interaction between agents to adapt to the changes of manufacturing environment, the manufacturing system has the ability of self-adaptation, self-organization and rapid response. However, due to the lack of effective resource autonomous sensing and intelligent control mechanism, the existing distributed flexible manufacturing systems have less application in the actual industrial process. In view of this, on the basis of analyzing the problems of resource perception and process control in the existing distributed flexible manufacturing system, firstly, the manufacturing process and resources are analyzed, and the manufacturing resources are divided into active and passive resources. For active resource configuration terminal control machine, RFID reader and other devices, for passive resources configuration RFID tags; Then, the real-time state and behavior logic model based on Petri net is constructed for all kinds of manufacturing resources. The key information of the manufacturing process is designed, and the design information and Petri net model are transformed into stored XML files. The manufacturing resources are embedded into the manufacturing resources through RFID and other technologies, which make manufacturing resources become a highly autonomous agent. Finally, the interactive process of manufacturing resources is studied, and the effectiveness and feasibility of the above methods are described in detail, and a manufacturing resource awareness and process control system based on Petri net is designed in the Internet of things environment. These techniques and methods lay a theoretical foundation for automatic perception and process control of manufacturing resources.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP301.1;TB49
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