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钢铁制造系统环境边界形态与物质能量代谢行为的系统演化

The Morphology of Environmental Boundary of Steel Industry System and the Systematic Evolution of Metabolic Behavior of Substance and Energy

【作者】 赵刚

【导师】 张华;

【作者基本信息】 武汉科技大学 , 机械设计及理论, 2013, 博士

【摘要】 论文以国家自然科学基金“基于辅料资源运行特性的钢铁绿色制造系统集成运行模式研究(70971102)”、国家科技支撑计划项目“制造企业生产过程绿色规划与优化运行技术(2006BAF02A03)”、湖北省教育厅科学研究计划项目“炼铁生产系统环境边界类生命组织形态研究(Q20121104)”和湖北省高等学校优秀中青年科技创新团队计划项目“钢铁制造系统绿色优化方法及其支持技术(T201102)”为依托,在借鉴绿色制造系统工程学、工程演化论和人工生命科学等前沿领域研究成果的基础上,对钢铁制造系统面临的资源环境问题及应对这些问题的工艺措施、技术方法和理论基础,进行了深入而具有创新性的探索研究。钢铁制造系统在其复杂的系统环境边界上与自然生态系统发生大规模的物质能量代谢行为,并在外界环境的约束和刺激下触发更具环境适应性的系统演化行为。论文将钢铁制造系统作为非碳物质载体的人工生命形态,研究其物质能量代谢行为在环境边界上的形态特征与耦合机理,利用基于工艺子系统Agent的人工生命建模方法,建立钢铁制造系统物质能量代谢行为的系统演化模型,揭示钢铁制造系统物质能量代谢的系统演化行为及其基本规律。1.通过解析钢铁制造系统的基本结构和工艺流程,对钢铁制造系统中普遍存在的动态递阶环境边界形态进行数学描述,建立各工艺子系统内部的物质能量代谢行为规则。2.根据物质能量代谢平衡的基本原则,研究基于时间工艺流程和空间递阶结构的环境边界耦合机理,建立各工艺子系统及与自然生态系统之间物质能量代谢行为的外部规则。3.基于对钢铁制造系统环境边界形态的解析与耦合,通过对物质能量代谢内外部行为规则的数学描述,设计基于吨钢能值、吨钢无效能值和吨钢环境排放的钢铁制造系统环境适应性指标与系统演化方向,利用基于工艺子系统Agent的人工生命建模方法,建立钢铁制造系统物质能量代谢行为的系统演化模型。4.借助非受控排序遗传算法等人工生命演化算法对该模型进行求解,获取资源环境效益最优的物质能量代谢行为向量,揭示钢铁制造系统物质能量代谢行为的系统演化规律。5.将钢铁制造系统演化模型中的物质能量代谢行为与我国东部地区某重点国有钢铁联合企业的实际生产数据进行对比分析和实证研究,验证系统演化模型的正确性和有效性。论文研究揭示了钢铁制造系统在物质能量代谢行为方面与自然生态系统的相似性和差异性,探索了钢铁制造系统物质能量运行的基本规律,讨论了不同的系统演化方向对钢铁制造系统物质能量行为的影响作用,研究结论可以为实现钢铁制造系统物质能量资源的优化控制和高效利用提供新的理论研究方法。

【Abstract】 The thesis relies on the item70971102supported by the Research Fund of National NaturalScience Foundation, the item2006BAF02A03supported by the National Science andTechnology Supporting Program, the item Q20121104and the item T201102supported by theEducational Office of Hubei Province. Based on the extensive study on the frontier fields such assystematic engineering of green manufacturing, industrial ecology, engineering evolution andartificial life, some intensive research works are discussed in this thesis to pose the seriouschallenges for the steelmaking processes. Based on the further research in this thesis, someinnovative technologies and fundamental principles are contributed to solve the resource andenvironmental issues that steel industrial system is confronted with.Iron and steel industrial system has numerous metabolic behaviors with substance andenergy on the complicated environmental boundaries existed between the steel industrial systemand the natural ecosystem. These metabolic behaviors will touch off the systematic evolutionwith the best fitness under the constraints and stimulations exerted by the external environment.The thesis regards the iron and steel-making system as a form of non-carbon carrier of theartificail life. Based on this vision, the morphology characters and coupling mechanism of themetabolic behaviors of substance and energy on the environmental boundary is discussed in thisthesis. A systematic evolutionary model for the metabolic behaviors of the substance and energyin the steel industrial system is established by the modeling approach of artificial life based onthe Agent of the processing subsystem. The thesis devotes to discover the systematic evolutionaybehaviors and laws of the metabolism of substance and energy in the steel industrial system withthe systematic evolutionay model.1. The thesis analyzes the fundamental framework and the processing flows of the steelindustrial system and illustrates the morphology and the dynamic hierarchical properties ofenvironmental boundaries generally existing in the steel industrial system, with correctmathematic approaches. The interior rules of the metabolic behaviors of substance and energy inits processing subsystem are established on the environmental boundary around the steel-makingsystem.2. Depending on the timing sequence of processing flow and the hierarchical sequence ofspace structure, the coupling mechanism of the environmental boundaries is constructed with theexterior rules under the metabolic equilibrium principles of substance and energy. The exteriorrules are formulated to describe the metabolic behaviors of substance and energy occurringbetween the processing subsystem and the ecological system.3. The indicators for the environmental fitness and the systematic evolutionary directions,including the emergy per metric ton of crude steel, the unavailable emergy per metric ton ofcrude steel and the environmental emission per metric ton of crude steel, are reasonably designed for the steel industrial system by the discretization and coupling of the environmental boundaryand the mathematic description for the rules of the metabolic behaviors of substance and energy,whatever interior or exterior ones. The systematic evolutionary model for the metabolicbehaviors of substance and energy in the steel industrial system is established with the modelingapproach of artificial life based on the Agent of the processing subsystem.4. Solved by the evolutionary algorithms such as the Non-dominated sorting in geneticalgorithms, the systematic evolutionary model deduces the optimized vectors of metabolicbehaviors of substance and energy with the best benefits of the systematic resource and energy. Italso discovers the evolutionary laws of the metabolic behaviors of substance and energy in thesteel industrial system.5. Compared with the actual production data from a state owned integrated steelworks ineastern China, the vectors of the metabolic behaviors demonstrated in the systematicevolutionary model verify the accuracy and validity of the systematic evolutionary model.The thesis illustrates the similitude and the difference of the metabolic behaviors ofsubstance and energy both in the steel industrial system and in the ecological system. The thesisdiscovers the basic laws of the substance and energy operations in the steel industrial system anddiscusses the influences which the various directions of the systematic evolution exert on themetabolic behaviors of substance and energy in the steel industrial system. The works andconclusions in the academic research present an innovative theory and methodology for theoptimized control and efficient utilization of the substance and energy resources in the steelindustrial system.

  • 【分类号】TF31;TF083
  • 【被引频次】3
  • 【下载频次】254
  • 攻读期成果
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