起重机主梁腹板变形自动矫正执行器设计

起重机主梁生产线中下盖板与形梁组对时,用人工矫正方法矫正腹板波浪变形会在主梁腹板上留下焊疤,并增加没有附加值的打磨操作。为了改善这一状况,并高效配合机器人实施定位焊,采用磁力吸附原理进行腹板变形的自动矫正。首先对形梁腹板变形进行测量,并拟合出变形曲线,不同格子间的变形均为凹变形,最大变形值为24mm。接着利用有限元方法分析了磁铁布置方式对矫正效果的影响:在同样的磁铁吸附应力和布置方式下,大筋板间的间距越大,矫正效果越明显;而在同样的大筋板间距下,初始凹变形小有利于矫正;对所有的格子间,永磁铁距腹板下边缘越近,矫正效果越明显,同样的磁铁(长宽比大于1),横放比竖放的矫正效果明显。最后研发了自动矫正执行器的物理样机,其由吸附单元、推拉单元、结构单元、传感单元和控制单元组成,并进行了现场试验,测试结果满足矫正工艺的精度要求(±2mm),同时也验证了有限元分析结果的准确性。主梁腹板变形自动矫正执行器的研制实现了腹板变形识别、腹板临时连接的建立、矫正过程力感知和矫正运动可控。该装置实现了机器人定位焊前的腹板变形自动矫正,对前道工序的焊接工艺优化具有一定意义。     

Mechanical Behavior of a Partially Encased Composite Girder with Corrugated Steel Web: Interaction of Shear and Bending

The synergistic use of partially encased concrete and composite girders with corrugated steel webs (CGCSWs) has been proposed to avoid the buckling of corrugated steel webs and compression steel flanges under large combined shear force and bending moment in the hogging area. First, model tests were carried out on two specimens with different shear spans to investigate the mechanical behavior, including the load-carrying capacity, failure modes, flexural and shear stress distribution, and development of concrete cracking. Experimental results show that the interaction of shear force and bending moment causes the failure of specimens. The bending-to-shear ratio does not affect the shear stiffness of a composite girder in the elastic stage when concrete cracking does not exist, but significantly influences the shear stiffness after concrete cracking. In addition, composite sections in the elastic stage satisfy the assumption of the plane section under combined shear force and bending moment. However, after concrete cracking in the tension field, the normal stresses of a corrugated web in the tension area become small due to the “accordion effect,” with almost zero stress at the flat panels but recognizable stress at the inclined panels. Second, three-dimensional finite-element (FE) models considering material and geometric nonlinearity were built and validated by experiments, and parametric analyses were conducted on composite girders with different lengths and heights to determine their load-carrying capacity when subjected to combined loads. Finally, an interaction formula with respect to shear and flexural strength is offered on the basis of experimental and numerical results in order to evaluate the load-carrying capacity of such composite structures, thereby providing a reference for the design of partially encased composite girders with corrugated steel webs (PECGCSWs) under combined flexural and shear loads.     

A remark on the complexity of consistent conjunctive query answering under primary key violations

A natural way for capturing uncertainty in the relational data model is by allowing relations that violate their primary key. A repair of such relation is obtained by selecting a maximal number of tuples without ever selecting two tuples that agree on their primary key. Given a Boolean query q, CERTAINTY(q) is the problem that takes as input a relational database and asks whether q evaluates to true on every repair of that database. In recent years, CERTAINTY(q) has been studied primarily for conjunctive queries. Conditions have been determined under which CERTAINTY(q) is coNP-complete, first-order expressible, or not first-order expressible. A remaining open question was whether there exist conjunctive queries q without self-join such that CERTAINTY(q) is in PTIME but not first-order expressible. We answer this question affirmatively.     

一种基于消息中间件的网页实时处理技术

针对传统网页采集分析系统在实时性上的不足,提出了一种基于消息中间件的网页实时处理技术。该技术利用消息中间件在消息队列驱动流程中引入并行调度策略,既继承了传统网页处理系统的可靠性,又实现信息抽取、话题聚类和网页分类等模块的分布式并行处理,增强了系统的实时处理能力。实验证明该文提出的技术在舆情实时采集、处理中较传统方法实时性高。     

基于RBF神经网络的Web文本分类的研究

Web文本分类是采用文本分类技术将Web上的信息进行自动分类,使用户能够快速找到自己想要的资源。文本分类的过程中,将特征提取之后的来自Web的数据分成样本数据集和测试数据集,将样本数据集输入到RBF网络中进行训练,RBF网络经过训练之后,输入测试数据集中的数据进行验证,实验证明,RBF网络取得了较好的分类结果。     

基于情感词典扩展技术的网络舆情倾向性分析

随着Web2.0时代的到来,网络已逐渐成为反映社会舆情的重要载体之一,网络舆情发现及网民的观点和倾向性挖掘也成为新的研究热点,但是目前尚无有效反应网民对热点事件或话题总体态度的舆情分析系统.本文针对网民关于话题评论简单、数目众多的特点,应用HowNet和NTUSD两种资源对现有情感词典进行扩展,建立了一个新的、具有倾向程度的情感词典.基于扩展的情感词典,开发了一个半自动化网络舆情分析系统.该系统能够为用户提供更加细致、准确的评论倾向性分析结果.     

由Web日志确定页面访问时间的方法研究

为了获取用户访问页面的行为全过程以及准确时间,在网站中建立自动记录离开访问页面机制,准确的记录了用户访问页面的行为的全过程,确保访问日志的完整性和准确性.在此基础上,提出了服务器访问日志数据清理算法,确保准确提取出页面访问时间,从而解决了常见的页面访问时间算法不能准确确定每个页面被访问的确切时间的问题.     

分布式网络机器人的设计与实现

为了改善网络机器人的爬行性能以及提高系统体系结构的通用性,提出了基于Web Service的新型分布式网络机器人体系架构.分析了分布式网络机器人软件中的关键数据操作,并将这些功能封装在Web Service中,基于Web向网络机器人客户结点提供统一的数据服务,降低了网络机器人爬行客户端对网络环境的依赖性.设计了分布式爬行所需的均衡负载、URL队列操纵和网页消重等算法,实现了分布式网络机器人软件原型.实验结果表明,该原型的性能明显优于单机模式下的网络爬行,且网页消重、均衡负载算法是可行的.     

主题Deep Web爬虫框架研究

为满足用户精确化和个性化获取信息的需要,通过分析Deep Web信息的特点,提出了一个可搜索不同主题Deep Web 信息的爬虫框架.针对爬虫框架中Deep Web数据库发现和Deep Web爬虫爬行策略两个难题,分别提出了使用通用搜索引擎以加快发现不同主题的Deep Web数据库和采用常用字最大限度下载Deep Web信息的技术.实验结果表明了该框架采用的技术是可行的.