浅谈构建工厂级QIS系统四大框架

基于质量管理体系要求,紧贴工厂质量管理业务流程与实际应用,通过QIS(质量信息系统)提供质量问题录入,问题解决、数据分析信息化支持工具;建立质量信息综合统计分析、实时监控、信息推送等功能;提高质量管控的效率,提升质量管理水平。QIS系统与ERP、MES等系统的互联,丰富的接口可以与其它信息系统无缝对接、集成,避免信息孤岛、信息烟囱。     

ERP在GC电梯公司的实施应用研究

企业在ERP导入过程中,容易出现效率低下,操作不便等问题.通过对ERP在某电梯制造企业中的实施应用进行研究,进一步探讨ERP在电梯制造企业实施过程中所出现的问题及难点,通过对系统的及时优化,以促进企业ERP的实施.     

基于消息队列中间件技术的PDM与ERP集成

明确PDM与ERP集成的数据基础,分析现有的PDM与ERP集成模式存在的问题,提出基于消息队列中间件集成的方法。在微软的MSMQ工作机制基础上,开发了PDM与ERP集成系统。     

CIMS环境下质量信息系统框架模型的比较研究

首先分析了CIMS环境下QIS应具有的特征 :集成性、分布性、全面性、实时性和产品导向性 ,进而探讨了CIMS环境下QIS的基本框架模型 ,指出了QIS在CIMS工程的体系结构中应具有的地位和作用。在此基础上对实施CIMS工程的不同类型企业 ,其QIS框架模型所具有的共性 ,以及应存在的差异进行了对比分析。     

基于XML/OPC的ERP/MES/底层控制集成系统研究

实时的信息管理是电子化制造模式的需要。分析和描述了ERP/MES/底层控制集成系统的信息流,建立了基于XML的ERP/MES/OPC共享信息组织结构,提出了利用XML网关进行XML信息校验、数据过滤和转换的方法,构造了面向OPC开放式软控制技术的MES/底层控制模型,实现系统间的信息集成和控制集成。MES作为ERP和底层控制的桥梁,使以天、周、月、年为时间因子的ERP系统达到实时。最后给出了一个基于该技术的自动装配线实验应用系统。     

PDM与ERP的区别及集成的探讨

如何有效的集成产品数据管理（PDM）和企业资源计划（ERP）是现代企业,尤其是制造企业必须面对的问题。本文从产品数据管理和企业资源计划的概念出发．分别介绍了的PDM和ERP概念、差异、集成的必要性以及集成的途径。     

企业管理小型ERP(仓库版)在物资管理中的应用

介绍了太原第一机床厂采用"企业管理小型ERP(仓库版)"软件系统过程中,根据企业实际需要,对系统进行二次开发的情况。     

基于ERP和GPRS的电力生产智能全方位巡检控制系统

针对目前高压输配电线路和设备监管措施较多,对巡线人员工作责任考核技术措施有效性较差的特点,提出了一种新的基于ERP和GPRS的电力生产智能全方位巡检控制系统,阐述了ERP管理模式,引入了ERP和GPRS技术,开发和实现了集巡线工作精确量化管理、巡检数据自动录入等功能于一体的电力生产智能全方位巡检控制系统.应用结果验证了...     

制造执行系统与企业资源计划的整合

介绍了MES的概念和功能模型,对制造业中计划层和执行层的信息系统进行了分析,从几个方面进行了对比,论述了二者的联系性;对MES／ERP的系统整合提出了一个整合方案。     

ERP物料清单(BOM)优化研究

物料清单(BOM)作为ERP系统最重要的静态基础数据,其规范性与准确性是决定ERP系统能否成功运行的最重要技术因素.本文在分析物料清单(BOM)的作用、类型及结构的基础上,从工程BOM、工艺BOM、生产BOM等方面阐述了物料清单(BOM)的优化途径.     

飞行时间质谱仪射频四极杆驱动器的研制

针对自制垂直引入式飞行时间质谱仪（orthogonal extraction time-of-flight mass spectrometer, O-TOFMS）的需要,运用直接数字频率合成 (direct digital frequency synthesis,DDS)技术,研制了射频四极杆的高压射频驱动电路装置。该驱动器频率可调范围为0.5~2 MHz,幅度最高达到1 000 Vp-p。该射频四极杆驱动器（radio frequency quadrupole driver,RFQ Driver）可用于分子离子反应器（molecule ion reactor,MIR）和RFQ驱动,其结构简洁、成本低、性能稳定可靠。     

从光电容积图中提取脉搏率、呼吸率和心率的新方法

光电容积描记图(PPG)是一种利用光学技术无创检测人体心血管脉搏波的方法。PPG信号来源于MIMIC数据库,它含有许多生理信息。本文提出了将集合经验模态分解(EEMD)、倒谱、快速傅里叶变化和过零点检测相结合的方法,从PPG中可靠地估算脉搏率(PR)、心率(HR)和呼吸频率(RR)。首先,将PPG信号通过EEMD分解为有限个固有模态函数(IMF)。因为EEMD有自适应滤波特性,所以估算不同的生理参数时,可以用不同的IMF分量来重构信号。其次,估算脉搏率时,舍去低频含有伪迹的IMF,再通过过零点检测可以得到瞬时脉搏率。然后,估算心率时,用1 Hz~1.67 Hz(60次/分钟~100次/分钟)的IMF来重构信号,再求倒谱,选取反映心脏活动的频带来得到心率。最后,估算呼吸率时,用0.05 Hz~0.75 Hz(3次/分钟~45次/分钟)的IMF来重构信号,然后对呼吸信号求快速傅里叶变化得到频谱图,寻找频谱图中的峰值得到呼吸率。对来自MIMIC数据库的53个成人PPG信号进行了仿真。仿真结果表明使用该综合信号处理方法提取的生理参数与实际生理参数一致,且该方法有运算量小,精确度高的优点(误差不超过1.17%)。     

UPLC-MS/MS测定二苯甲烷二异氰酸酯

建立了二苯甲烷二异氰酸酯（MDI）的超高效液相色谱-串联质谱（UPLC-MS/MS）联用的分析方法。实验用甲醇作衍生试剂,将二苯甲烷二异氰酸酯衍生成二苯甲烷二氨基甲酸甲酯（MDC）,通过测定二苯甲烷二氨基甲酸甲酯来确定二苯甲烷二异氰酸酯的含量。实验采用Waters Acquity BEH C18超高效液相色谱柱,甲醇-0.1%甲酸作为梯度洗脱液,二苯甲烷二氨基甲酸甲酯在1.5 min内与其他化合物进行完全分离,经四极杆质谱选择离子监测模式检测。线性范围为2~100 μg/L,检出限为1 μg/L,相关系数0.999 4。考察了水、甲酸、甲酸铵流动相体系,以及进样量大小对样品的分离效果,发现甲酸流动相体系的分离效果优于其他两种流动相体系,同时发现在进样量大时出现平头峰。并且在优化条件下,对实际样品中游离的二苯甲烷二异氰酸酯进行了测定。     

Rapid one-of-a-kind production

To shorten the product development cycle time and reduce the cost at the same time, which is very critical for the survival of those small and mid-sized one-of-a-kind production (SMOKP) companies, various computer communication, simulation and computer aided engineering and management techniques have been widely used in these SMOKP companies. However, according to our study, the applications of these advanced computer technologies in these SMOKP companies are lack of system integration and synergy, which result in communication errors, reworks, duplications and hence a longer product development lead time and a higher cost. To solve this problem, an inter/intranet based computer aided rapid product development system is presented in this paper. This system consists of a number of inter/intranet based computer models or sub-systems for supporting rapid development of a one-of-a-kind product. It also employs a novel concurrent product development strategy called “prototype based incremental product development strategy” and an integrated product data structure called “product production structure”. Some industrial implementations of the proposed system, product development strategy and product data structure are also reported in the paper.     

Effect of the molecular weight on deformation states of the polystyrene film by AFM single scanning

Nanobundles patterns can be formed on the surface of most thermoplastic polymers when the atomic force microscope (AFM)‐based nanomechanical machining method is employed to scratch their surfaces. Such patterns are reviewed as three‐dimensional sine‐wave structures. In the present study, the single‐line scratch test is used firstly to study different removal states of the polystyrene (PS) polymer with different molecular weights (MWs). Effects of the scratching direction and the scratching velocity on deformation of the PS film and the state of the removed materials are also investigated. Single‐wear box test is then employed to study the possibility of forming bundle structures on PS films with different MWs. The experimental results show that the state between the tip and the sample plays a key role in the nano machining process. If the contact radius between the AFM tip and the polymer surface is larger than the chain end‐to‐end distance, it is designated as the “cutting” state that means the area of both side ridges is less than the area of the groove and materials are removed. If the contact radius is less than the chain end‐to‐end distance, it is designated as the “plowing” state that means the area of both side ridges is larger than the area of the groove and no materials are removed at all. For the perfect bundles formation on the PS film, the plowing state is ideal condition for the larger MW polymers because of the chains’ entanglement. SCANNING 35:308‐315, 2013. © 2012 Wiley Periodicals, Inc.     

汽车ESC系统DIL/HIL仿真平台设计

全面准确地标定与测试是开发车辆电子稳定控制(electronic stability control,ESC)系统的关键环节。车辆控制过程是典型的强非线性系统,建立精确的车辆模型比较困难,驾驶员模型也很难准确模拟紧急工况下驾驶员的真实反应。在仿真系统中将难以精确建模的液压制动系统、ESC压力调节单元、转向及电子节气门装置采用真实硬件,并在试验平台中嵌入真实驾驶员,基于Matlab/Simulink/dSPACE环境和车辆动力学软件veDYNA,开发硬件在环(hardware-in-the-loop,HIL)和驾驶员在环(driver-in-the-loop,DIL)的仿真试验平台,并在此平台上对所设计的ESC系统进行仿真试验研究。试验结果表明,所设计的DIL/HIL仿真平台可以大幅提高ESC系统的开发效率和测试准确性。     

Rapid one-of-a-kind production

To shorten the product development cycle time and reduce the cost at the same time, which is very critical for the survival of those small and mid-sized one-of-a-kind production (SMOKP) companies, various computer communication, simulation and computer aided engineering and management techniques have been widely used in these SMOKP companies. However, according to our study, the applications of these advanced computer technologies in these SMOKP companies are lack of system integration and synergy, which result in communication errors, reworks, duplications and hence a longer product development lead time and a higher cost. To solve this problem, an inter/intranet based computer aided rapid product development system is presented in this paper. This system consists of a number of inter/intranet based computer models or subsystems for supporting rapid development of a one-of-a-kind product. It also employs a novel concurrent product development strategy called “prototype based incremental product development strategy” and an integrated product data structure called “product production structure”. Some industrial implementations of the proposed system, product development strategy and product data structure are also reported in the paper.     

复合ICA-SVM机械状态模式分类

提出了一种新颖的、基于独立分量分析(ICA)的复合神经网络，用于不同机械状态模式的特征提取。利用支持向量机(SVM)进行最终分类。与通常的基于经验风险最小化(ERM)原理的神经网络方法相比，基于结构风险最小化(SRM)原理的支持向量机分类方法具有更好的推广能力。而借助多个独立分量分析网络，隐藏于多通道振动观测信号中的不变特征得到有效提取，从而实现了支持向量机分类器在分类能力和推广性两者间的合理平衡。     

The efficacy of back propagation neural network with delta bar delta learning in predicting the wear of carbide inserts in face milling

Face milling is a process predominantly affected by dynamic variation of cutting forces, thermo-mechanical shocks and vibration leading to catastrophic tool failure along with gradual wear of the inserts. Keeping in view the industrial importance of this process, it is necessary to devise suitable methods to predict in advance the onset of tool failure without grossly impairing the machining set-up and the job. Hence, the applicability of back propagation neural network with delta bar delta learning rule for faster convergence has been studied with the above objective. The multi sensor based tool condition monitoring strategy shows that the learning rate adaptation scheme combined with the selection of suitable process parameters drastically reduces the training time of the artificial neural network without dispensing with the prediction accuracy.     

自主致密LCD和改进的广义局部频率解调方法

自主致密局部特征尺度分解方法通过确定待分解信号的最小信号极值尺度以度量其信号尺度的方式,采用新增伪极值点均匀化信号尺度的方法,可有效抑制局部特征尺度分解的模态混叠。在广义局部频率解调的基础上,基于强局部加权回归和伪端点方法的原理,提出了改进的广义局部频率解调方法。该方法通过分析广义局部频率和广义局部幅值突变情况,在广义局部频率和广义局部幅值中插入伪端点,并采用强局部加权回归对新增伪端点后的广义局部频率和广义局部幅值进行分段平滑处理,可有效改进广义局部频率和广义局部幅值曲线的平滑效果。采用仿真信号将自主致密局部特征尺度分解与局部特征尺度分解、经验模态分解进行对比,同时将改进的广义局部频率解调与希尔伯特变换、广义局部频率解调进行对比,结果证实了自主致密局部特征尺度分解和改进的广义局部频率解调方法的有效性。对转子碰摩故障实验数据的对比分析结果,进一步验证了该方法的有效性和实用性。