石龙镇产业结构发展战略研究

从世界知识经济时代的到来,以及国家产业结构的调整改革的全局高度出发,结合广东省东莞市石龙镇经济发展现磁诉实际分析,学习借鉴珠江三角洲地区其他发达乡镇的经验,并通过理论探讨,提出石龙镇产业结构调整的初步设想,确定石龙镇经济发展的主导产业及其相关产业的发展比例关系。     

复杂长距离输水系统仿真优化研究

将自优化模拟模型应用于长距离输水系统优化调度研究中，以数字仿真模型为基础，增加在线控制优化环节，根据仿真模型的输出反馈不断优化系统输入，实现系统仿真过程的自适应优化。并以MATLAB软件作为系统仿真平台，成功地实现了实例工程的仿真优化过程，为复杂长距离输水系统优化调度研究开辟了一条新途径。     

基于Plant Simulation的智能制造测试床仿真模型 设计与应用

为了验证智能制造测试床的整体布局设计和制造工艺在生产运营环境下的合理性，利用西门子Plant Simulation工厂仿真软件进行生产节拍和设备利用率分析。首先，建立了按订单生产运行的制造生产线二维仿真模型，根据生产要求对二维仿真模型进行输入参数设定，并根据二维仿真模型运行后得到的分析统计结果进行工艺布局、物流布局和制造策略的优化。然后，在二维仿真模型基础上，为了让仿真模型在建设阶段和运营阶段具有更直观的展示效果，基于原三维设计图，在三维仿真模型中替换或导入各对象的三维模型，并运用Simltalk语言编写精细的三维位置坐标和动作路径动画程序，对仿真模型进行三维效果优化。结果表明优化后的智能制造测试床三维仿真模型可以实现与实际生产一致的业务运行模式，它具有更形象、逼真的动态运行展示效果。仿真结果可指导智能制造测试床的建设与优化，且在测试床投入运营后，仿真模型还能够接受运营数据以对测试床进行持续迭代的优化。提出的仿真模型设计方法为实现智能制造测试床的“数字孪生”奠定了基础。     

基于合作博弈的区域产业结构优化模型

区域产业结构优化是宏观经济管理的一项重要内容。在对区域产业结构优化影响因素分析的基础上,以博弈论为分析工具,提出了基于合作博弈的产业结构优化模型与求解算法。在该优化模型中,把不同的产业映射为博弈模型的局中人,产业的不同组合方案映射为策略集,把三次产业增加值的比重、劳动生产率和生态环境污染程度所构建的复合函数映射为效用函数,将产业结构优化问题转化为对合作博弈模型的核心求解问题。接着介绍了一种求解核心的Shapley值法。通过对温州产业的算例分析,验证了所建模型的可行性和有效性。     

基于仿真分析的随机活动工期鲁棒性项目调度优化

在不确定环境下，项目的计划与控制对项目能否顺利实施十分重要。考虑随机活动工期，研究了如何借助仿真分析确定鲁棒性调度优化的最佳项目输入参数组合。首先，对研究问题进行界定；随后，构建鲁棒性项目调度优化模型，并设计仿真分析流程，建立项目输入参数与仿真指标之间的对应关系；接着，开发了禁忌搜索启发式算法对鲁棒性调度优化模型进行求解，并制定了仿真实施流程；最后，通过一个实际案例对研究进行说明。得到结论：进度计划的鲁棒性随项目计划工期与资源可用量的增大而增大，达到一定值后保持稳定；当选取不同的仿真指标时，得到的最佳输入参数的组合不同，管理者可根据实际需求选取相应的指标。研究能够为不确定条件下鲁棒性项目调度提供指导，有助于项目进度计划鲁棒性的提升。     

数控加工仿真中的优化离散矢量模型

数控加工仿真是利用计算机模拟数控加工的过程。采用离散知音一法可以有较好的实时性和观察性。但在采用离散矢量法时，离散模型的建立对仿真的效果有很大的影响。而对于常用的彩和均匀离散方式建立起来的仿真模型，对仿真精度与仿真速度的要求无法同时得到满足，本文采用了一种基于非均匀离散的优化模型可以有效地解决此点不足，并将详细论述这种仿真模型的建立、数据更新及其显示等内容。     

制冷空调系统的仿真设计方法研究

经过几十年的发展，计算机仿真技术已经成为制冷空调系统研究与优化设计的最有效的方法和强有力的工具。本文介绍了仿真优化的基本内容，并对制冷空调系统仿真的建模方法、仿真模型、模型求解方法等基本理论进行了系统的分析，指出了目前所存在的一些问题，对其应用前景进行了展望。     

大型空间环模器热沉仿真研究

用分布参数方法，建立了热沉动态数学模型，运用MATRIXx仿真平台，建立了仿真模型，并进行了动，静态工况仿真计算。得出了热沉在稳定工况下的温度场，流量与最大温差的关系及温度动态特性，为热沉的优化设计，温度控制提供了重要依据，也为调温系统的动态仿真奠定了基础。     

具有自动装卸搬运机器人的制造单元建模与分析

针对具有自动装卸搬运机器人的制造单元，着重考虑其双重资源约束的特点，提出了该系统的有限缓冲开排队网的建模方法。根据工件的加工、装卸与搬运等工艺流程，定义该系统的排队网模型的各种状态，基于连续时间马尔可夫链，采用精确解法对该模型进行分析求解，获得系统一系列的稳态性能指标。为了验证排队网建模方法的有效性，建立其对应的仿真模型，分别采用排队网模型的数值计算与仿真模型的仿真统计2种方法求出系统的性能指标进行对比，并基于排队网模型对该制造单元的系统性能进行分析，为该类制造单元的资源配置优化和设施布局优化等问题提供重要的理论支撑。     

球墨铸铁机械性能的优化模型

通过对球墨铸铁机械性能影响因素的分析，指出在一定的生产条件下，球墨铸铁的机械性能主要取决于组织、成分。利用Matlab中的Neural Network Toolbox仿真环境和BP模型算法建立了球墨铸铁机械性能的优化模型，详细论述了模型结构的设计、数据处理、网络初始化、训练与仿真的过程。该方法对提高球墨铸铁的机械性能具有积极作用。     

某工业洗衣机动力学特性研究

工业洗衣机在高速脱水的工作过程中,由于衣物的不均匀分布而产生偏心激振力,造成整体结构剧烈振动,从而存在结构疲劳破坏的事故隐患。针对某型工业洗衣机的结构特点建立有限元模型,对洗衣机在高速脱水工况下偏心激振力的大小和分布规律进行分析。运用NASTRAN软件计算得到的结构瞬态响应分析结果,与振动测试结果对比吻合较好。本研究对工业洗衣机的疲劳强度分析与结构优化具有重要意义。     

Global Optimization of Costly Nonconvex Functions Using Radial Basis Functions

The paper considers global optimization of costly objective functions, i.e. the problem of finding the global minimum when there are several local minima and each function value takes considerable CPU time to compute. Such problems often arise in industrial and financial applications, where a function value could be a result of a time-consuming computer simulation or optimization. Derivatives are most often hard to obtain, and the algorithms presented make no use of such information.Several algorithms to handle the global optimization problem are described, but the emphasis is on a new method by Gutmann and Powell, A radial basis function method for global optimization. This method is a response surface method, similar to the Efficient Global Optimization (EGO) method of Jones. Our Matlab implementation of the Radial Basis Function (RBF) method is described in detail and we analyze its efficiency on the standard test problem set of Dixon-Szegö, as well as its applicability on a real life industrial problem from train design optimization. The results show that our implementation of the RBF algorithm is very efficient on the standard test problems compared to other known solvers, but even more interesting, it performs extremely well on the train design optimization problem.     

Data analytics and optimization for smart industry

Industrial intelligence is a core technology in the upgrading of the production processes and management modes of traditional industries. Motivated by the major development strategies and needs of industrial intellectualization in China, this study presents an innovative fusion structure that encompasses the theoretical foundation and technological innovation of data analytics and optimization, as well as their application to smart industrial engineering. First, this study describes a general methodology for the fusion of data analytics and optimization. Then, it identifies some data analytics and system optimization technologies to handle key issues in smart manufacturing. Finally, it provides a four-level framework for smart industry based on the theoretical and technological research on the fusion of data analytics and optimization. The framework uses data analytics to perceive and analyze industrial production and logistics processes. It also demonstrates the intelligent capability of planning, scheduling, operation optimization, and optimal control. Data analytics and system optimization tech-nologies are employed in the four-level framework to overcome some critical issues commonly faced by manufacturing, resources and materials, energy, and logistics systems, such as high energy consumption, high costs, low energy efficiency, low resource utilization, and serious environmental pollution. The fusion of data analytics and optimization allows enterprises to enhance the prediction and control of unknown areas and discover hidden knowledge to improve decision-making efficiency. Therefore, industrial intelligence has great importance in China’s industrial upgrading and transformation into a true industrial power.     

基于分段常数水平集方法的声振耦合系统拓扑优化

针对结构与无限大声场的声振耦合系统中结构的双材料拓扑优化问题进行了研究。采用有限元与边界元方法分别对结构和声场进行离散。基于分段常数水平集(piecewise constant level set,PCLS)方法,构造了结构的刚度阵、质量阵与阻尼阵。优化目标选为最小化结构指定位置的振幅平方,采用伴随变量法进行灵敏度分析。引入二次罚函数方法来实现体积约束,基于灵敏度信息对优化参数进行重新定义,克服了参数的问题依赖性。数值结果表明优化设计可以显著降低结构的振幅,证实了优化方法的有效性。不同算例下体积约束在相同优化参数下均得到很好满足,说明了重新定义参数的优越性。     

Experimental Characterization of Wireless Sensor Networks for Industrial Applications

The effects of interference in the setup of wireless sensor networks (WSNs) represent a critical issue, and as such, it needs to be carefully addressed. To this aim, helpful information can be achieved through measurements to be carried out in advance on suitable prototypes and testbeds. In this paper, the measurement of industrial WSN performance is dealt with. In particular, a suitable testbed enlisting IEEE 802.15.4 wireless sensor nodes is presented along with the results of some experiments carried out even in the presence of interference. The purpose is to show how to evaluate some specific parameters of a WSN employed for industrial applications to obtain useful information for its setup optimization in the presence of interference. The analysis will show that from the measurement of these parameters (number of failed pollings, polling round-trip time, experimental cycle time, and alarm latency), interference effects can effectively be recognized, and the network setup can be optimized.      

Structure optimization of granular bed filter for industrial flue gas filtration containing coagulative particles: An experimental and numerical study

A numerical model for the flow and filtration characteristics of industrial flue gas in granular bed filter (GBF) was established and the local filtration efficiency for different granule layers was investigated. Numerical validation results show that the GBF structure with large size granules at the inlet region and small size granules at the outlet region can effectively improve the filtration performance of GBF and the underlying mechanism was revealed. Then an experimental system was built to validate the suitability of the optimized GBF structure for the filtration of industrial flue gas with coagulative particles. The experimental results show that the optimized GBF structure is also suitable and its superiority is more significant with the increase of filtration time. The results show that the pressure drop and filtration efficiency of the experimental system increase with the increase of dust particles concentration. The existing of coagulative particles is conducive to the growth of smaller size dust particles, the pressure drop and filtration efficiency increase significantly. In addition, the pressure drop and filtration efficiency decrease with the increase of cooling rate. The results of this study are expected to be useful for the design and optimization of industrial flue gas purification and waste heat recovery.     

大规模定制企业产品配置元结构持续优化策略

大规模定制模式已经成为可能和未来发展的趋势。从产品功能和结构配置元分类入手,构建出企业产品配置元结构优化模型,探讨了不同目标导向的产品配置元优化策略。最后举例证明方法的可行性和有效性。     

基于信息熵改进的粒子群算法在桁架结构

提出了信息熵改进的粒子群优化算法用于解决有应力约束、位移约束的桁架结构杆件截面尺寸优化设计问题.首先介绍了信息熵基本理论和基本粒子群优化算法理论,然后对粒子群优化算法作了合理的参数设置,并将信息熵引入粒子群优化算法的适应函数和停机判别准则中.最后对2个经典的优化问题进行求解并与其他算法进行了比较.数据结果表明信息熵改进后的粒子群优化算法在桁架结构优化设计中优于其他同类算法.     

SAMTECH软件:从飞机结构中复合材料板的大规模优化设计到细节结构的损伤分析

本文中介绍了当前最热门的趋势,即在工业领域的预先设计阶段中,复合材料的结构设计和解决方案可以在商业有限元软件SAMCEF与BOSS Quattro相结合的优化平台上来实现.这些解决方案,覆盖了从大规模复合材料结构的预先设计到高级的局部细节的研究,其中包括分层和裂缝增长.本文中的三个例子都来自于工业合作伙伴的描述.