TES系统网状网络设计计算

本文对ＴＥＳ系统作了介绍，分析了该系统的性能。基于山东交通专用长途通信网采用网状网络的组网方案，给出了ＳＣＰＣ／ＡＤＰＣＭ／ＰＳＫ／ＤＡＭＡ网状网络的设计计算。     

基于浏览器／服务器模式的洪水预报系统

笔者通过比较客户机／服务器模式与Web浏览器／服务器模式的优劣，指出基于Web浏览器／服务器模式的洪水预报系统是今后发展的趋势．以乌江江口水电站洪水预报系统为例，探讨基于Web浏览器/服务器模式的洪水预报系统的结构、特点及通过Delphi的实现方法．     

基于Pro/E的齿轮数控加工程序自动生成的研究

利用Pro／E系统提供的二次开发工具Pro／Toolkit，在．VC^ 6．0环境下对Pro／E系统进行二次开发，开发出了基于Pro／E的齿轮专用CAD／CAPP／CAM集成应用系统，实现了齿轮类零件的自动生成、参数检索和修改，同时也实现了CAM系统对工艺信息的自动化获取和数控代码的自动生成．系统零件调用直观方便，用户界面友好。     

集成化模具CAPP的研究与开发

分析了汽车覆盖件模具的结构和工艺特点，提出了基于零件分组和面向工艺决策的特征描述方法；介绍了CIMS环境下的集成化模具CAPP系统。该系统采用特征信息与工艺规则相匹配的基于规则的工艺决策方法，以及按零件特征搜索相似零件工艺的基于实例的工艺生成方法。实现了工艺设计的自动化。作者以并行工程思想为指导，采用关键路线分析法来帮助工艺人员选择工艺方案，实现工艺设计与生产网络计划的集成，提高了模具工艺过程设计的柔性和生产过程的合理性。     

基于GPRS的车辆监控系统的设计与实现

分析了传统车辆监控系统存在的缺陷，提出了基于GPRS的车辆监控系统的硬件和软件设计方案，采用GPS模块、GPRS模块和单片机构建立了车辆终端系统．在软件设计中，通过比较GPRS网络上的两种数据传输协议，选用UDP／IP协议作为车辆通信协议，给出了实现流程．从运行结果来看，效果良好     

船员在线考试系统开发与应用

本文通过介绍基于B／S模式的“考试系统”的系统模块和主要流程，结合“考试系统”的开发与应用，提出了适应船员特点的“船员在线考试”、“考试全程有效记录”的观点。     

La2/3Ca1/3Mn1-xCuxO3系统双电阻峰的机理研究

实验研究了在不同工艺条件下制备的La2／3Ca1／3Mn1-xCuxO3系统，结果显示在1200～1400℃温度范围内，电阻率-温度曲线上会出现双电阻峰现象，对于锰基钙钛矿结构氧化物颗粒系统，其颗粒表面和颗粒内部表现出不同的电、磁输运性质，从电输运的角度来考虑，将颗粒系统的总电阻率看成是颗粒表面电阻率和颗粒内部体电阻率的串联，基于这样的物理图像，对La2／3Ca1／3Mn1-xCuxO3系统双电阻峰现象给予了合理的定性解释。     

城市公共交通车辆管理系统关键技术研究

设计了基于GPS／GIS／GSM平台的城市公共交通车辆管理系统框架，综合运用了GPS卫星定位技术、无线通信技术、计算机技术等方面的科技成果，对城市公共交通车辆管理系统的关键技术进行了研究．通过GSM无线通信网络，实现了车载装置和监控中心之间的无线数据通信；探讨了基于WebGIS的交通信息发布和查询模式，并以此为基础在三层Browser／Server结构的MAPGIS Internet Map Server (MAPGIS-IMS)平台上开发了武汉市出租车监控调度系统．     

基于B／S结构的校园OA系统的设计与开发

基于C／S模式本身的不足，以及需要满足校园网中师生及工作人员在因特网上查询信息的需要，提出了基于B／S结构的校园OA系统。使用目前比较流行的技术方案（PHP＋MySQL）开发了Web服务器应用程序，使校园网络办公更加的高效、快捷、方便且数据信息安全可靠。     

工艺数字化系统中工艺尺寸及其精度的确定

说明了工艺数字化系统（PDS）中工艺尺寸及其精度确定的意义，分析了已有的计算机辅助确定工艺尺寸方法的特点，研究了确定工艺尺寸的数学模型，开发了计算机辅助确定合理工艺尺寸及其精度的系统，并论述了系统的工作模式及特点。     

双圆弧齿轮传动的啮合特性和有限元模拟

根据双圆弧齿轮啮合原理,对某双圆弧齿轮传动的啮合特性进行分析,在Pro/E参数化建模的基础上,应用有限元方法,对所研究的双圆弧齿轮传动啮合过程的接触状态进行了模拟,确定了齿轮传动的啮合周期和啮合过程中接触应力变化规律,指出了该双圆弧齿轮传动的啮合危险状态和位置,为齿轮传动的优化设计提供了一定的依据.     

Human reliability analysis method on armored vehicle system considering error correction

Human reliability analysis(HRA) is an expansion of man-machine engineering. It is also a new multidisciplinary based on behavioral science, cognitive science, information processing, system analysis and probability statistics in order to analyze, predict, reduce and prevent human errors. Firstly, the quantitative analysis model of HRA is proposed based on Markov process theory by using human error probability(HEP) and error correction cycle(ECC) as parameters. And human reliability evaluation criterion is built. Then, the HRA process considering error correction is proposed based on cognitive reliability and error analysis method(CREAM). Finally, according to the characteristics of armored vehicle system, common performance condition(CPC) in CREAM is improved.A reliability impact index is characterized by the overall contexts of tasks. Human reliability evaluation criterion of armored vehicle system is formulated. And the result of HRA is obtained based on the method presented in this paper. In addition, the relative weights are estimated by combining scale of 10/10—18/2 and analytical hierarchy process(AHP), and the triangular fuzzy number considering confidence factor and optimism index is adopted in order to reduce the subjectivity. The analysis results show that the method presented in this paper is reasonable and feasible. Meantime, the method can provide guidance for human reliability analysis of other weapon systems.     

基于Pro/E的渐开线斜齿圆柱齿轮的参数化设计

提供了一种基于Pro/E的渐开线斜齿圆柱齿轮的参数化设计方法,可精确建立渐开线斜齿圆柱齿轮模型,使研发设计人员从繁琐的建模过程中解脱出来,缩短了研发设计时间.     

基于RUP的多智能体交通控制计算建模分析

根据多Agent的智能行为协调,给出多Agent的分层递阶交通信号控制系统模型。通过Rational统一过程的OOA／D分析,设计和实现以多Agent计算为框架的软件仿真系统。通过实例仿真和实验结果证明该方法实现多Agent道路交通信号控制的可行性。     

MODIFIED AUTOMATIC TUNING OF PI/D CONTROLLERS BASED ON PHASE AND AMPLITUDE MARGIN SPECIFICATIONS

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Nonlinear Statistical Process Monitoring Based on Control Charts with Memory Effect and Kernel Independent Component Analysis

A novel nonlinear combination process monitoring method was proposed based on techniques with memory effect (multivariate exponentially weighted moving average (MEWMA)) and kernel independent component analysis (KICA). The method was developed for dealing with nonlinear issues and detecting small or moderate drifts in one or more process variables with autocorrelation. MEWMA charts use additional information from the past history of the process for keeping the memory effect of the process behavior trend. KICA is a recently developed statistical technique for revealing hidden, nonlinear statistically independent factors that underlie sets of measurements and it is a two-phase algorithm: whitened kernel principal component analysis (KPCA) plus independent component analysis (ICA). The application to the fluid catalytic cracking unit (FCCU) simulated process indicates that the proposed combined method based on MEWMA and KICA can effectively capture the nonlinear relationship and detect small drifts in process variables. Its performance significantly outperforms monitoring method based on ICA, MEWMA-ICA and KICA, especially for long-term performance deterioration.     

A bayesian based process monitoring and fixture fault diagnosis approach in the auto body assembly process

The auto body process monitoring and the root cause diagnosis based on data-driven approaches are vital ways to improve the dimension quality of sheet metal assemblies. However, during the launch time of the process mass production with an off-line measurement strategy, the traditional statistical methods are difficult to perform process control effectively. Based on the powerful abilities in information fusion, a systematic Bayesian based quality control approach is presented to solve the quality problems in condition of incomplete dataset. For the process monitoring, a Bayesian estimation method is used to give out-of-control signals in the process. With the abnormal evidence, the Bayesian network (BN) approach is employed to identify the fixture root causes. A novel BN structure and the conditional probability training methods based on process knowledge representation are proposed to obtain the diagnostic model. Furthermore, based on the diagnostic performance analysis, a case study is used to evaluate the effectiveness of the proposed approach. Results show that the Bayesian based method has a better diagnostic performance for multi-fault cases.     

高铁枢纽设施布局评价方法

针对已有高铁枢纽设施布局评价方法存在的不足,提出以乘客集散状况为核心的评价方法。基于乘客在枢纽核心区内的集散时间、集散距离分析,细化评价指标,选取平均集散时间、平均集散距离、90%乘客集散时间、90%乘客集散距离为具体指标。以乘客出行链为分析单元对传统的交通分配模型进行改进,提出具体指标的详细计算方法。以石家庄高铁枢纽规划设计为例,应用提出的评价方法对两个规划方案进行评价。结果显示,两个方案的平均集散时间为20~25 min、集散距离为700~2 000 m,均处于合理范围,但方案二交通集散效率更高,最终作为推荐方案。     

面向产品全生命周期工艺知识分类编码系统

在对产品全生命周期工艺知识进行调研的基础上,采用面分类法和线分类法相结合的方式对工艺知识进行了分类,得到工艺知识分类体系,在此基础上对工艺知识进行编码,并开发了相应的计算机辅助分类编码系统,可有效地解决机械制造企业信息化过程中知识的交流与共享问题.     

混凝土Ⅰ型裂缝扩展的氯离子渗透特征

为了研究荷载作用下混凝土结构裂缝扩展过程中的氯离子侵蚀问题,更加准确地描述不同扩展阶段裂缝周边的氯离子侵蚀特征,依据混凝土断裂准则,采用ANSYS参数化设计语言APDL进行二次开发,自编程序模拟了混凝土小梁Ⅰ型断裂裂缝开展过程;在断裂分析的基础上通过参数等效,采用结构-热分析方法,基于体应变-损伤变量-氯离子扩散系数一一映射关系,实现了混凝土裂缝扩展过程中各个阶段氯离子侵蚀的数值分析. 结果表明:不同裂缝扩展阶段,三点弯曲混凝土小梁裂缝周边氯离子侵蚀结果与试验结果吻合,荷载作用下混凝土裂缝尖端氯离子侵蚀呈现加剧现象,在混凝土结构耐久性寿命分析中起决定性作用;双K断裂准则和基于损伤参数的氯离子扩散模型能够模拟混凝土开裂过程氯离子侵蚀问题.