基于STM32的逆变弧焊电源控制器设计

数字化是弧焊电源的发展趋势,其关键在于控制器的数字化。目前市场上的大多数数字化产品价格相对高昂,采用STM32系列单片机进行经济型数字化弧焊电源控制器的设计和实现。该控制器采用数字式PI方法进行输出电流控制,并具有按键操作、液晶显示、过流保护、过热保护等功能。该控制器还具有良好的扩展I}生,可以通过修改程序增强系统功能。     

在役缆索自动检测

缆索检测是保证斜拉桥等大型斜拉结构安全的关键。在缆索机器人基础上，对缆索表面检查、内部检测和维护等进行了讨论。系统采用电磁检测方法，巳在徐浦大桥缆索机器人现场试验中成功进行了实践。     

面向对象的液压与气压回路工作原理仿真软件开发

详细介绍了用于液压与气压传动课程教学的“面向对象的液压与气压回路工作原理仿真软件”的开发，该软件采用VB6．0、AutoCAD及Microsoft Visio在Win2000操作系统上开发而成，采用了面向对象的建模技术，实现了液压与气压原理图的自动识别及工作原理仿真。     

埋弧自动焊在大口径钢卷管焊接上的应用

为把埋弧焊应用在大口径钢卷管焊接上,分析了焊接工艺设计、焊接工装设计和纵缝、环缝焊接的施工要点,经过实际施工验证了这种方法是成功的,效益是高的。     

线阵电荷耦合器技术在自动测长系统中的应用

介绍用线阵电荷耦合器件(CCD)技术设计的型材在线实时测量系统。采用粗测和精测相结合的方法，解决了较大长度范围内精确测量问题。详细介绍动态在线非接触式测控系统的基本工作原理及软硬件组成。实测结果表明其测量精度高、效果好，能满足快速流水线的现场检测。     

化工槽车自动化洗涤装置失效原因分析及对策

对化工槽车自动化洗涤装置失效及其原因进行了分析,指出洗槽机的冲洗和抽水不匹配、洗涤工艺不满足设计要求、硬件出现故障及化学品性质的影响是导致洗涤失效的主要原因,提出了完善现场流程、优化工艺操作、使用自动化控制技术、加强设备维护和保养等解决失效的措施。     

Decision support in machine vision system for monitoring of TFT-LCD glass substrates manufacturing

This study addresses classification methodology for the automatic inspection of a range of defects on the surface of glass substrates in thin film transistor liquid crystal display glass substrate manufacturing. The proposed methodology consisted of four stages: (1) feature extraction by calculating the wavelet co-occurrence signature from the substrate images, (2) handling of imbalanced dataset using the Synthetic Minority Over-sampling TEchnique (SMOTE), (3) reduction of the feature's dimension by principal component analysis, and (4) finally choosing the best classifier between three different methods: Classification And Regression Tree (CART), Multi-Layer Perceptron (MLP) and Support Vector Machine (SVM). In training the SVM and MLP classifiers, the simulated annealing algorithm was used to obtain the optimal tuning parameters for the classifiers. From the industrial case study, the proposed feature extraction algorithm could remove the defect-irrelevant image features and SMOTE increased the accuracy of all three methods. Furthermore, the optimized SVM and MLP models were more accurate than the CART model whereas a higher accuracy of 89.5% was observed for the proposed SVM model.     

Smart pricing scheme: A multi-layered scoring rule application

Defining appropriate pricing strategy for smart environment is important and complex task at the same time. It holds the primal fraction in Demand Response (DR) program. In our work, we devise an incentive based smart dynamic pricing scheme for consumers facilitating a multi-layered scoring rule. The proposed strategy characterizes both incentive based DR and price based DR programs facilities. This mechanism is applied between consumer agents (CA) to electricity provider agent (EP) and EP to Generation Company (GENCO). Based on the Continuous Ranked Probability Score (CRPS), a hierarchical scoring system is formed among these entities, CA–EP–GENCO. As CA receives the dynamic day-ahead pricing signal from EP, it will schedule the household appliances to lower price period and report the prediction in a form of a probability distribution function to EP. EP, in similar way reports the aggregated demand prediction to GENCO. Finally, GENCO computes the base discount after running a cost-optimization problem. GENCO will reward EP with a fraction of discount based on their prediction accuracy. EP will do the same to CA based on how truthful they were reporting their intentions on device scheduling. The method is tested on real data provided by Ontario Power Company and we show that this scheme is capable to reduce energy consumption and consumers’ payment.     

Customizable hardware design of fuzzy controllers applied to autonomous car driving

Nowadays, final products often encompass a certain intelligence therein to deal with variation or lack of precision in the sensing input data. This intelligence is usually acquired via the utilization of existing soft techniques, such as artificial neural networks, genetic algorithms and fuzzy control, among others. Thus, it is profitable to have on-the-shelf shell scalable and adaptive hardware designs that implement these soft techniques. This availability allows for an immediate embedding of any of those designs onto final products. This usually entails a reduced time-to-market of the product. Process control is one of the many applications that took advantage of the fuzzy paradigm. In general, controllers are embedded into the controlled device. This paper presents a novel design of a reconfigurable efficient parallel architecture to implement fuzzy controllers on hardware with almost no design effort for final users. The proposed architecture is herein proven suitable for embedding. It is customizable, so it allows the setup and configuration of the controller parameters, and hence its use for any problem application. Two fuzzy controllers that model autonomous car driving are implemented and their cost and performance evaluated.     

一种基于云模式的试题库系统设计与实现

当前互联网提倡分享、社交的模式,“云模式”的概念逐渐兴起。对试题的评价、分享是试题库发展的重要方向之一。设计一种基于云模式的试题库系统,着重加强试题库系统的互联网属性,将用户参与融入系统之中。同传统的试题库系统最大的不同是融合“云”的元素,各用户添加的试题在用户允许的情况下将被分享到“试题云”,用户在组卷时可以选用试题云中的试题,丰富用户在组卷时的选择,提高试卷的质量。