本文選題：系統(tǒng)建模與仿真 + 多Agent技術(shù)　； 參考：《合肥工業(yè)大學(xué)》2017年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)、信息技術(shù)、人工智能技術(shù)以及現(xiàn)代管理技術(shù)地不斷進步,現(xiàn)在制造系統(tǒng)開始往網(wǎng)絡(luò)化、信息化與智能化的方向發(fā)展。經(jīng)濟市場的快速變化,消費者多變的需求,使先進制造系統(tǒng)也變得更加復(fù)雜、多變。從經(jīng)濟性、安全性等角度考慮,依靠計算機仿真技術(shù)描述真實生產(chǎn)系統(tǒng),在虛擬環(huán)境下驗證生產(chǎn)線優(yōu)化決策,提高生產(chǎn)線的生產(chǎn)效率,是一種可行的手段。Agent具有智能性、自主性、交互性,基于多Agent的建模與仿真方法是一種新的建模與仿真方法,能夠?qū)?fù)雜的制造系統(tǒng)分解簡化為一個個獨立的子系統(tǒng)來解決,這種建模方法能夠很好描述系統(tǒng)的微觀行為以及涌現(xiàn)的宏觀現(xiàn)象。本文以玻璃堆垛系統(tǒng)為背景,利用多Agent技術(shù)進行模型設(shè)計,基于有限狀態(tài)機原理建立仿真模型,通過計算機仿真技術(shù)與P2P網(wǎng)絡(luò)通信技術(shù)相結(jié)合,實現(xiàn)了玻璃堆垛的多Agent系統(tǒng)的分布式仿真過程,并且經(jīng)過仿真分析,觀察與統(tǒng)計仿真數(shù)據(jù),提出生產(chǎn)線優(yōu)化策略,為決策者提供理論支持。論文首先研究了多Agent的理論知識,包括Agent的基本結(jié)構(gòu)、多Agent的交互與通信機制以及多Agent建模的方法與步驟。然后分析了玻璃堆垛系統(tǒng)的真實模型以及相關(guān)數(shù)據(jù)的采集,通過Simulink/Stateflow仿真工具搭建模型并進行實驗研究,根據(jù)實際生產(chǎn)情況,提出相關(guān)控制策略。VC編寫通信程序,完成了多Agent系的分布式仿真。同時通過仿真數(shù)據(jù)的統(tǒng)計與分析,驗證生產(chǎn)線優(yōu)化策略。
[Abstract]:With the continuous progress of Internet technology, information technology, artificial intelligence technology and modern management technology, manufacturing system is developing towards the direction of network, information and intelligence. The rapid changes in economic markets and the changing needs of consumers make advanced manufacturing systems more complex and changeable. Considering from the point of view of economy and security, it is a feasible means to describe real production system by computer simulation technology, to verify the optimal decision of production line in virtual environment and to improve the production efficiency of production line. Autonomous, interactive, multi-Agent based modeling and simulation method is a new modeling and simulation method, which can decompose complex manufacturing system into independent subsystems to solve the problem. This modeling method can well describe the micro-behavior and emerging macro-phenomena of the system. In this paper, the glass stacking system is used as the background, the model is designed by using multiple Agent technology, and the simulation model is established based on the theory of finite state machine. The computer simulation technology is combined with the P2P network communication technology. The distributed simulation process of glass stacking multi-Agent system is realized, and through simulation analysis, observation and statistical simulation data, the optimization strategy of production line is put forward, which provides theoretical support for decision makers. This paper first studies the theoretical knowledge of multiple Agent, including the basic structure of Agent, the interaction and communication mechanism of multiple Agent, and the methods and steps of multi-Agent modeling. Then the real model of glass stacking system and the collection of relevant data are analyzed. The model is built by Simulink / Stateflow simulation tool and the experimental study is carried out. According to the actual production situation, the relevant control strategy is put forward. VC is used to write the communication program. The distributed simulation of multiple Agent systems is completed. At the same time, the optimization strategy of production line is verified by statistics and analysis of simulation data.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.9

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