应用MES技术优化分组加工工艺过程

分组加工模式的应用是特色工艺研究和精细化加工的结合,目前被应用在了很多企业中。为了解决计划制订到生产调度指挥这一过程中的问题,企业采用了MES技术来优化这一模式下的工艺过程。分析了MES技术的应用。     

STM32单片机多串口通信仿真测试技术研究

使用 STM32单片机进行多串口通信,采用虚拟串口软件(VSPD)结合串口调试软件进行多串口通信发送和接收功能的仿真测试研究,克服了 RealView 软件不能仿真接收通信的缺点。介绍了虚拟串口和仿真串口的绑定方法,给出了各模块的软件代码。仿真测试结果表明,采用该方法,可以在没有硬件平台的情况下,完成基于 STM32多串口收发通信的软件开发应用。     

Relationship between age differences and display parameters on visual comfort for autostereoscopic display

In order to investigate the age differences for viewing autostereoscopic display, we conduct a 3 × 3 × 3 × 4 mixed design with repeated measurement experiment by using three‐dimensional (3D) video clips. Visual comfort is compared between four age groups with a questionnaire. Results of subjective evaluation are compared through the chi‐square test to check if there is a statistical significance between groups with respect to the distribution of number and proportion according to five levels of visual comfort. Then we examine age differences of visual comfort under three key display parameters including crosstalk, ambient illumination, and disparity. The results indicate that the degree of comfort varies considerably among age groups as the parameters of the display system change. Although the seniors feel most discomfort and the children get best experience in general, there is no statistical difference among the subjects when the ambient illumination is medium or disparity is large. So, it is necessary to take account of the age differences in designing 3D display parameters for enhancing visual comfort.     

A Physarum-inspired approach to supply chain network design基于多头绒泡菌模型的供应链网络设计算法

A supply chain is a system which moves products from a supplier to customers, which plays a very important role in all economic activities. This paper proposes a novel algorithm for a supply chain network design inspired by biological principles of nutrients’ distribution in protoplasmic networks of slime mould Physarum polycephalum. The algorithm handles supply networks where capacity investments and product flows are decision variables, and the networks are required to satisfy product demands. Two features of the slime mould are adopted in our algorithm. The first is the continuity of flux during the iterative process, which is used in real-time updating of the costs associated with the supply links. The second feature is adaptivity. The supply chain can converge to an equilibrium state when costs are changed. Numerical examples are provided to illustrate the practicality and flexibility of the proposed method algorithm.     

A B-spline curve extension algorithmB 样条曲线延伸算法

B-spline curve extension is an important operation in computer aided design systems. In this paper, we present a new extension algorithm for B-spline curves. The algorithm uses curve unclamping to generate a uniform B-spline curve segment from the original curve and gradually extends the segment to pass through every target point. Algorithms of uniform B-spline curves are used such that our algorithm has a low time cost and can easily handle arbitrary-order derivative constraints at the target points. Generalization for non-uniform rational B-spline curve extension is also discussed, and examples show the efficiency of our method.     

城市不同水体表观特征污染物及污染类型识别

选择苏州市区河网为研究对象,经过为期近3年的广域布点采样,选取DO,温度,p H,CODMn,S2-,浊度,Chl-a,UV254等作为水质监测指标,通过对各指标累计频率分布及其变化趋势的统计分析,识别出不同污染水体的主要表观特征污染物,并依此对水体污染类型进行了划分界定。结果表明:监测指标UV254值、浊度与ρ(CODMn)的比值、ρ(S2-)和ρ(Chl-a)对不同污染水体有很好的区分度,可作为表观特征污染物指标;将污染水体分为4种类型:有机主导型、无机主导型、营养主导型和混合型,前3种类型的主要筛选条件分别为UV254值·ρ(S2-)·1 000大于10 cm-1·(mg/L)、浊度与ρ(CODMn)的比值大于15 NTU/(mg/L)和ρ(Chl-a)20μg/L;利用该条件对6条定点监测河流污染类型进行初步划分。     

Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Channel Noise

Channel noise, including sensor‐to‐controller(SC) noise and controller‐to‐actuator(CA) noise, impacts the convergence of wireless remote iterative learning control (ILC) system significantly. In this paper, the relationship between output error, SC noise and CA noise is obtained firstly by super‐vector formulation, and then the norm of output error vector covariance matrix is employed to analyze the convergence of the system in presence of SC noise and CA noise. Upper bound of the norm at any sample time reveals that the SC noise is accumulated only in iteration domain, while the CA noise is accumulated not only in iteration domain but also in time domain. Furthermore, the accumulated effect of the CA noise in time domain is ruled by system matrices, so the values of which determine the effect of the CA noise is greater or less than that of the SC noise on convergence of the system. Finally, some simulation results are given to illustrate correctness of the result.