本文關鍵詞： 系統(tǒng)可靠性 多智能體系統(tǒng) 地下鈾礦山 安全生產(chǎn)系統(tǒng) 優(yōu)化控制　出處：《南華大學》2016年碩士論文　論文類型：學位論文

【摘要】：地下鈾礦山安全生產(chǎn)系統(tǒng)是一個涉及多因素、多層次的、動態(tài)變化的柔性系統(tǒng),涉及到礦山穿孔爆破、礦井通風、氡及氡子體析出、礦井運輸與提升等諸多安全生產(chǎn)子系統(tǒng)。雖然其發(fā)生機理各異,但引發(fā)事故的因素即相互關聯(lián)、相互影響的。因此,針對鈾礦開采作業(yè)環(huán)境的復雜性、安全生產(chǎn)系統(tǒng)的網(wǎng)絡性、事故誘因的多樣性,開展鈾礦山安全生產(chǎn)系統(tǒng)的可靠性研究與安全生產(chǎn)系統(tǒng)的優(yōu)化控制研究成為當前解決地下鈾礦山安全系統(tǒng)優(yōu)化控制的緊迫任務。為此應用Multi-Agent技術、可靠性理論構建地下鈾礦山安全生產(chǎn)多智能體系統(tǒng)可靠性模型結構及協(xié)商機制,應用免疫遺傳優(yōu)化算法實現(xiàn)地下鈾礦山安全生產(chǎn)多智能體系統(tǒng)的最優(yōu)控制。本文主要的研究工作如下:(1)構建地下鈾礦山安全生產(chǎn)多智能體系統(tǒng)的可靠性結構體系。通過深入了解地下鈾礦山安全生產(chǎn)系統(tǒng)的生產(chǎn)工藝及生產(chǎn)特性,結合多智能體技術,將地下鈾礦山安全生產(chǎn)系統(tǒng)分為人機交互界面、主控Agent、爆破Agent、采裝(放礦)Agent、運提Agent、通風Agent、放射性污染物控制Agent,每個單智能體都有其自身獨立的決策、計算以及通信能力,但是自身的功能又有限,需要根據(jù)其他Agent信息作出判斷。分別針對每一Agent模型的功能、內(nèi)部結構進行設計。(2)地下鈾礦山安全生產(chǎn)多智能體系統(tǒng)協(xié)商機制研究。根據(jù)系統(tǒng)的內(nèi)在機制(串聯(lián)、并聯(lián)、混聯(lián))的方式與多智能體的協(xié)商機制相結合的方法來解決礦山安全生產(chǎn)系統(tǒng)的內(nèi)部協(xié)商問題。在MAS運行過程中,需要多個具有不同能力的Agent以使整個系統(tǒng)可靠性達到最高為目標以協(xié)商的方式來合作完成復雜的任務。(3)安全生產(chǎn)多智能體系統(tǒng)免疫遺傳優(yōu)化控制研究。融合智能優(yōu)化算法的免疫算法和遺傳算法,構建性能優(yōu)良的免疫遺傳優(yōu)化算法,運用免疫遺傳優(yōu)化算法分別對多智能體結構模型進行多次迭代優(yōu)化求解,以能使多智能體結構多目標系統(tǒng)全局優(yōu)化需求為目的,解決地下鈾礦山安全生產(chǎn)多智能體系統(tǒng)的全局最優(yōu)控制問題。(4)鈾礦山安全生產(chǎn)多智能體系統(tǒng)優(yōu)化及實例分析。以某大型地下鈾礦山為例進行多智能體安全生產(chǎn)系統(tǒng)的建模與集成,根據(jù)礦山生產(chǎn)實際,設定各智能體之間的約束條件及運作流程。應用多智能體技術及可靠性理論、免疫遺傳優(yōu)化算法實現(xiàn)該地下鈾礦山安全系統(tǒng)的協(xié)調(diào)優(yōu)化控制問題,并進行計算機程序設計與調(diào)試。綜上所述,本文應用多智能體技術和可靠性理論構建的地下鈾礦山安全生產(chǎn)多智能系統(tǒng)可靠性模型及免疫遺傳優(yōu)化控制研究,解決了復雜系統(tǒng)可靠性研究中建模困難、難以得出切合實際的可靠性指標以及系統(tǒng)全局最優(yōu)控制等問題,對于實現(xiàn)地下鈾礦山維修策略的優(yōu)化、合理安排生產(chǎn)計劃具有重要的指導作用。實例分析驗證與檢測這一研究成果的有效性及適用范圍。
[Abstract]:The underground uranium mine safety production system is a multi-factor, multi-level, dynamic and flexible system involving mine perforation blasting, mine ventilation, radon and radon daughter exhalation. Although the mechanism of mine transportation and hoisting is different, the factors that cause accidents are interrelated and influence each other. Therefore, in view of the complexity of the working environment of uranium mining, the network of safety production system, Because of the diversity of accident inducement, it is an urgent task to study the reliability of the safety production system and the optimal control of the safety production system in uranium mines. Therefore, Multi-Agent technology is applied to solve the problem of optimal control of the safety system in underground uranium mines. Reliability theory is used to construct the reliability model and negotiation mechanism of multi-agent system in underground uranium mine safety production. The immune genetic optimization algorithm is used to realize the optimal control of the multi-agent system for the safe production of underground uranium mines. The main research work of this paper is as follows: 1) the reliability structure system of the multi-agent system for the safe production of underground uranium mines is constructed. ... Through an in-depth understanding of the production process and production characteristics of the underground uranium mine safety production system, Combined with multi-agent technology, the safety production system of underground uranium mine is divided into man-machine interface, main control agent, blasting agent, mining (drawing agent, transporting agent, ventilating agent, radioactive pollutant controlling agent). Each single agent has its own independent decision. Computing and communication capabilities, but their own functions are limited, need to be judged according to other Agent information. Respectively for the function of each Agent model, The internal structure of the underground uranium mine safety production multi-agent system negotiation mechanism. According to the internal mechanism of the system (series, parallel, In order to solve the problem of internal negotiation of mine safety production system, the method of combining the method of mixing with the negotiation mechanism of multi-agent is adopted. In the process of MAS operation, Multiple Agent with different capabilities are needed to achieve maximum reliability of the whole system. The goal is to cooperate to complete complex tasks in a negotiated manner. Research on immune genetic optimization control of multi-agent systems in safety production. Fusion intelligence. Immune algorithm and genetic algorithm for optimizing algorithm, The immune genetic optimization algorithm with good performance is constructed. The immune genetic optimization algorithm is used to solve the multi-agent structure model iteratively and iteratively. The purpose of this algorithm is to make the multi-agent structure multi-objective system global optimization. To solve the global optimal control problem of multi-agent system for underground uranium mine safety production. Optimization of multi-agent system for safety production of uranium mine and case analysis. Taking a large underground uranium mine as an example to carry out multi-agent safety production system. Modeling and integration, According to the practice of mine production, the constraint conditions and operation flow among agents are set up. Using multi-agent technology and reliability theory, the immune genetic optimization algorithm is used to realize the coordinated optimal control of the underground uranium mine safety system. To sum up, the reliability model and immune genetic optimization control of multi-intelligence system for underground uranium mine safety production are constructed by using multi-agent technology and reliability theory. It solves the difficulty of modeling in the reliability research of complex system, and it is difficult to obtain the practical reliability index and the global optimal control of the system, so as to optimize the maintenance strategy of underground uranium mine. Reasonable arrangement of production plan has important guiding function. The validity and application scope of this research result are verified and tested by case analysis.
【學位授予單位】：南華大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TD868

【參考文獻】

相關期刊論文 前10條

1 楊永盛;卿黎;梁志強;;地下難采礦體回采工藝系統(tǒng)可靠性研究[J];金屬礦山;2016年04期

2 張聰;趙怡晴;張宇;侯定勇;李仲學;李翠平;;安太堡露天煤礦生產(chǎn)計劃多目標優(yōu)化模型及其應用[J];昆明理工大學學報(自然科學版);2015年05期

3 戴劍勇;陳曉輝;;基于Simevents/Stateflow的礦山運提系統(tǒng)可靠性仿真分析[J];礦業(yè)研究與開發(fā);2015年08期

4 戴劍勇;石競羽;;基于氡析出機制的鈾礦井巷道通風可靠性分析[J];核技術;2015年01期

5 羅小元;楊帆;李紹寶;關新平;;多智能體系統(tǒng)的最優(yōu)持久編隊生成策略[J];自動化學報;2014年07期

6 杜振華;閆肅;諶海云;曾歡;;免疫克隆選擇多目標優(yōu)化算法與MATLAB實現(xiàn)[J];智能計算機與應用;2014年03期

7 劉成;楊亞新;彭道峰;張葉;;鈾礦山廢石堆表面氡析出率的變化規(guī)律[J];東華理工大學學報(自然科學版);2013年04期

8 張宇光;;礦山副井提升系統(tǒng)控制程序優(yōu)化[J];甘肅科技;2013年20期

9 葉勇軍;丁德馨;鐘永明;李峰;;留礦法采場爆破鈾礦堆氡滲流析出規(guī)律的理論研究[J];原子能科學技術;2013年10期

10 魏臻;許崇;;基于FTA的礦井提升監(jiān)控系統(tǒng)可靠性分析[J];合肥工業(yè)大學學報(自然科學版);2013年08期

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