欧姆龙参加2008纺织机械电控系统设计研讨会

2008年6月11日，由中国工控网举办的“2008纺织机械电控系统设计研讨会”与“第十二届国际现代工厂／过程自动化技术与装备展览会FA／PA”同期举办。本次会议聚焦纺织机械，覆盖纺纱机、织造设备、针织机械、化纤设备、无纺布、染整设备等。来自中国纺织工程学会纺机专业委员会、杭州瑞阳织造、机械科学研究总院先进制造技术研究中心、恒天集团天津宏大、天津天纺、苏拉纺织机械、中石化仪征化纤、经纬纺织机械等企业的专家和工程师参加了本次研讨会。     

纺织机械的机电一体化

近年我国纺织机械机电一体化技术发展很快，提高了纺织机械整体水平，增强了在国际市场的竞争力，纺织机械的产量和出口均以每年20％以上增长。本文将从七个方面介绍了纺织机械电一体化的特点。     

经纬-西门子强强联合共创完美解决方案——纺织机械网络技术研讨会

2006年10月19日，经纬纺织机械股份公司与西门子（中国）有限公司自动化与驱动集团在皇家大饭店举办了纺织机械与网络技术研讨会，共有100多位行业专家参加了此次盛会。其中，中国纺织工程学会纺织机械与器材专业委员会主任凌宝银先生以及经纬纺织机械股份有限公司副董事长、总经理叶茂新先生，西门子（中国）有限公司自动化与驱动集团自动化系统部总经理斐德思先生与会并致词。     

欧姆龙参加2008纺织机械电控系统设计研讨会-北京站

2008年6月11日，由中国工控网(www．gongkong．com)举办的“2008纺织机械电控系统设计研讨会”与“第十二届国际现代工厂／过程自动化技术与装备展览会FA／PA”同期举办。本次会议聚焦纺织机械，覆盖纺纱机、织造设备、针织机械、化纤设备、无纺布、染整设备等。覆盖范围包括纺     

欧姆龙参加2008纺织机械电控系统设计研讨会-北京站

2008年6月11日,由中国工控网举办的“2008纺织机械电控系统设计研讨会”与“第十二届国际现代工厂／过程自动化技术与装备展览会FA／PA”同期举办。本次会议聚焦纺织机械,覆盖纺纱机、织造设备、针织机械、化纤设备、无纺布、染整设备等。覆盖范围包括纺纱机、针织机、化纤设备等。来自中国纺织工程学会纺机专业委员会、杭州瑞阳织造、机械科学研究总院先进制造技术研究中心、恒天集团天津宏大、天津天纺、苏拉纺织机械、中石化仪征化纤、经纬纺织机械等企业的专家和工程师参加了本次研讨会。     

经纬与西门子举办纺织机械网络技术研讨会

10月19日，经纬纺织机械股份公司与西门子（中国）有限公司自动化与驱动集团举办了纺织机械与网络技术研讨会．共有100多位行业专家参加了此次盛会。其中．中国纺织工程学会纺织机械与器材专业委员会主任凌宝银先生以及经纬纺织机械股份有限公司副董事长．总经理叶茂新先生，西门子（中国）有限公司自动化与驱动集团自动化系统部总经理斐德思先生与会并致词。     

KDN-K3系列PLC简介

KDN-K3系列小型一体化可编程控制器是用于工厂自动化领域中机器控制和小规模过程控制的先进PLC产品，与市场众多的同类产品相比它是后来者，但却跨越了PLC发展的初级阶段，将多种先进技术和高级功能集成到逻辑控制器中，因此广泛适用于以下控制应用：包装机械、纺织机械、建材机械、食品机械、塑料机械、数控机床、印刷机械、中央空调、环保设备以及单一过程控制装置。     

凌阳爱普科技一推出纺织专用变频方案

日前，北京凌阳爱普科技有限公司与某广东纺织机械厂家合作，强力推出纺织专用变频方案。该方案解决了以往变频器性能不佳导致电机发热，力矩不够大等技术问题，广泛适用于纺织机械领域。     

科技是第一生产力——中达电通平板变频器即将上市

在纺织机械领域，由于变频器在控制以及节能上的天然优势，已经被越来越普遍地应用在纺织机械上的天然优势，已经被越来越普遍地应用在纺织机械上，但是由于纺机使用环境的特殊性，以及传统变频器结构设计上存在的问题，     

数控化、智能化纺织机械对自动控制技术的新要求

探讨了数控化、智能化纺织机械对自动控制技术的新要求,提出了专用控制器、工业以太网、个性化控制软件和研发过程的高速实时测试等应予关注的发展趋势。     

无胎冷旋压机系统的模型辩识及控制参数的优化

本文介绍了我国第一套容器封头无胎冷施压机系统的模型辩识方法；微机控制算法的选择及控制参数的优化。在实际应用中获得了满意的效果。     

A hybrid GA-AUGMECON method to solve a cubic cell formation problem considering different worker skills

Part quality and consequently customer satisfaction besides cost functions are two of the most important issues for any firm. Balancing between these two goals leads to full utilization from manufacturing resources. Formerly, in cubic cell formation problem, where a part on a machine can be processed by various workers, worker assignment was done just by minimizing inter-cell movement criterion; so, the workers assigned into the processing cell are mostly selected rather than outsider workers. But, it is rational for the ties to be broken by skills of different workers in performing a special part on the dedicated machine. In this paper, a bi-objective cubic cell formation is presented with two non-homogeneous objective functions in order to minimize the inter-cell movements and maximize a part quality index. Quality index for each part is represented through a cubic matrix containing integer values of 1–5 (representing very bad, bad, medium, well and very well), which qualifies the process of part on a specific machine by a specific worker. To solve the problem, a hybrid GA-augmented ε-constraint method (GA-AUGMEON) is developed to reduce time consuming difficulty of AUGMECON method. To validate the model and the GA-AUGMECON algorithm, some randomly generated examples in small and large size are solved.     

信息系统安全模型的分析与设计

信息系统安全模型的构建是获得信息系统安全的基础和保障。阐述了信息系统及其安全性问题,提出了一种集用户界面逻辑、业务逻辑和异常探测机于一体的信息系统安全模型,并对其主要组成部分的工作流程和功能实现进行了详细说明。     

Grouping efficiency measures and their impact on factory measures for the machine-part cell formation problem: A simulation study

Over the past 25 years, the machine-part cell formation problem has been the subject of numerous studies. Researchers have applied various methodologies to the problem in an effort to determine optimal clusterings of machines and optimal groupings of parts into families. The quality of these machine and part groupings have been evaluated using various objective functions, including grouping efficacy, grouping index, grouping capability index, and doubly weighted grouping efficiency, among others. In this study, we investigate how appropriate these grouping quality measures are in determining cell formations that optimize factory performance. Through the application of a grouping genetic algorithm, we determine machine/part cell formations for several problems from the literature. These cell formations are then simulated to determine their impact on various factory measures, such as flow time, wait time, throughput, and machine utilization, among others. Results indicate that it is not always the case that a “more efficient” machine/part cell formation leads to significant changes or improvements in factory measures over a “less efficient” cell formation. In other words, although researchers are working to optimize cell formations using efficiency measures, cells formed this way do not always demonstrate optimized factory measures.     

A genetic algorithm based method for bidding strategy coordination in energy and spinning reserve markets

The problem of building optimally coordinated bidding strategies for competitive suppliers in energy and spinning reserve markets is addressed based on the Monte Carlo simulation and a refined genetic algorithm (RGA). It is assumed that each supplier bids a linear energy supply function and a linear spinning reserve supply function into the energy and spinning reserve markets, respectively, and the two markets are dispatched separately to minimize customer payments. Each supplier chooses the coefficients in the linear energy and spinning reserve supply functions to maximize total benefits, subject to expectations about how rival suppliers will bid. A stochastic optimization model is first developed to describe this problem and a Monte Carlo and genetic algorithm based method is then presented to solve it. A numerical example is utilized to illustrate the essential features of the method.     

基于模糊神经网络的乒乓球旋转飞行轨迹模式分类

轨迹预测在打乒乓球机器人击球的过程中具有十分重要的作用, 轨迹预测的准确性关系到击球的成败. 因击球时, 非光滑的接触面对乒乓球产生摩擦力, 使乒乓球产生了旋转并对乒乓球的飞行轨迹产生了一定影响, 造成轨迹预测的不准确. 在对旋转球进行受力分析的基础上, 详细讨论了不同旋转模式下Magnus 力对乒乓球飞行轨迹的影响, 并设计了两个模糊神经网络分类器, 分别对左右旋和上下旋的飞行轨迹进行分类. 发球机实验验证了分类器的有效性.     

基于多Agent协商的柔性车间调度系统

针对柔性作业车间调度的特点,提出了一种基于多agent协商的柔性作业车间调度系统。系统由工件agent,机器agent和工序agent组成。Agent之间通过相互发送消息和响应消息进行交互,并且通过消息相应函数按照各agent局部的信息、同时兼顾系统的性能进行决策。工件agent通过招标的方式,选择合适的机器完成加工任务,机器agent通过竞争来获得工件的加工权。最后用Java语言在Eclipse平台上进行程序设计,对柔性作业车间调度的平均滞后问题进行仿真实验,并与传统的分派规则比较,结果显示所提方法的优越性。     

A hybrid method based on genetic algorithm and dynamic programming for solving a bi-objective cell formation problem considering alternative process routings and machine duplication

Cell formation is one of the first and most important steps in designing a cellular manufacturing system. It consist of grouping parts with similar design features or processing requirements into part families and associated machines into machine cells. In this study, a bi-objective cell formation problem considering alternative process routings and machine duplication is presented. Manufacturing factors such as part demands, processing times and machine capacities are incorporated in the problem. The objectives of the problem include the minimization of the total dissimilarity between the parts and the minimization of the total investment needed for the acquisition of machines. A normalized weighted sum method is applied to unify the objective functions. Due to the computational complexity of the problem, a hybrid method combining genetic algorithm and dynamic programming is developed to solve it. In the proposed method, the dynamic programming is implemented to evaluate the fitness value of chromosomes in the genetic algorithm. Computational experiments are conducted to examine the performance of the hybrid method. The computations showed promising results in terms of both solution quality and computation time.     

The control of a quick turnaround cell — An integrated CAD and CAM system

Quick turnaround Cell (QTC) is an integrated software/hardware system for rapid product prototyping. A QTC consists of some engineering workstations, one of a few machine tools, and a vision inspection system. The major objective of the project is to study the integration of CAD, process planning, cell control, and vision inspection. Currently a prototype QTC has been implemented at Purdue Uniersity. It is capable of producing prismatic parts. After a part is designed, it can be machined and inspected automatically. There is no human decision necessary for the planning, part programming, and cell control. The cell controller plays an extremely important role on coordinating all the system functions and providing user and machine interfaces. In this paper we will address the issues encountered in designing the cell control. The structure and the functionality of the specific design will be discussed.