Unified modeling method and simulation method for multiple virtual service nodes

Abstract

The invention discloses a unified modeling method and a simulation method for multiple virtual service nodes. The method comprises the following steps of: step 1, decomposing a complex discrete manufacturing system into a series of service units, and associating the logical models in each service unit through the virtual service nodes; step 2, expressing the logistics equipment, logistics path andlogistics control logic of the complex discrete manufacturing system with a logistics path network model, and associating the logistics path with the service units in step 1 through the virtual service nodes; step 3, associating a service unit set, a path network set and a mobile entity set into a whole through the virtual service nodes to form a unified system model. According to the unified modeling method and the simulation method for multiple virtual service nodes, a unified, hierarchical and reconfigurable modeling method is provided, the simulation of the production process and logistics process of the discrete manufacturing system under a multi-variety small-batch manufacturing model, and the analysis and evaluation of the utilization of the processing equipment and logistics equipment are realized.

Description

technical field [0001] The invention relates to the technical field of discrete manufacturing system modeling, in particular to a unified modeling method and simulation method for multiple virtual service nodes. Background technique [0002] The complexity of the complex discrete manufacturing system represented by the aviation manufacturing industry and the rail transit industry is mainly reflected in: (1) the composition of the system is complex, the type and scale of the equipment are getting larger and larger, and the complexity of the equipment itself is getting higher and higher; (2) The organizational structure is complex, mainly reflected in the increasingly complex relationship between production organization and logistics organization; (3) The operation mechanism is complex, and the manufacturing mode has changed from mass production to multi-variety and small-volume production, and the system has greater flexibility and reproducibility. structure; modeling and sim...

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Problems solved by technology

[0003] Discrete manufacturing system modeling and simulation methods mainly include DES (discrete event system) modeling method and agent-based modeling method (ABM); DES modeling methods can be divided into three categories: (1) activity-oriented modeling, such as ACD, Petri net; (2) event-oriented modeling, such as event graph; (3) state-oriented modeling, such as finite state machine, DEVS, state diagram, etc. [B.K.Choi, D.Kang, Modeling and Simulation of Discrete-Event Systems, John Wiley & Sons, 2013.]; the advantage of the above modeling method is that it has graphical and algebraic modeling specifications, and mature modeling and simulation software, which can better meet the requirements of the unity and hierarchy of complex system modeling. The disadvantage is that it is difficult to deal with flexible manufacturing systems and reconfigurable manufacturing systems

[0004] The Agent modeling method is different from the traditional top-down modeling method. It no longer pays attention to the events and activities of the system, but studies the attributes and behaviors of the system by studying the attributes and behaviors of individuals and the interaction between individuals; effectively It reduces the complexity of the system and brings great modeling flexibility; however, the shortcoming of the Agent modeling method is that it lacks strict graphics and algebraic definitions, which makes it more subjective and arbitrary, and lacks a unified specification and Modeling Standard

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