组态软件通信接口在DCS仿真界面设计中的应用

在阐述了工控组态软件对外通信接口体系结构的基础上,提出了一个开发集散控制系统（DCS）仿真操作界面的新方法。该方法使用工控组态软件的图形功能实现DCS仿真界面模型的建立和操作,DCS仿真界面与DCS流程动态数学模型之间通过动态数据交换（DDE）和OPC（OLE for process control）接口进行通信,通过定制ActiveX控件来丰富特殊的DCS界面元素。     

提高金回收率的试验研究与生产实践

胶东某矿业公司矿石中金以细粒包裹金为主,泥质矿物含量较高。多年来,金的回收率较低。针对矿石性质,进行了磨矿细度(粗选尾矿再磨)、改善药剂制度等试验研究与生产实践,金的回收率提高了3.63%,企业每年可增加经济效益300余万元。     

基于鲁棒优化的含风电场系统无功规划优化

在电网总网损费用和无功补偿设备费最小的同时在目标函数中加入电压越限惩罚费用,使系统保持理想的电压水平的同时达到无功的最优配置。考虑到接入风电后,风力发电机组出力的不确定性,将风电出力作为一个随机变量,引入鲁棒优化的盒式集合方法,建立了在一定约束条件下的含风电场系统无功规划优化模型。为了使模型易于求解,采用优化对偶理论对其进行简化,将约束条件中的不确定量转化为确定量的形式,并通过实例验证了所用模型和方法的可行性。     

特高压输电线路支盘桩群桩受力性能及经济性分析

通过有限元数值模拟,研究了支盘桩群桩在竖向荷载作用及竖向和水平荷载共同作用下基桩荷载-位移曲线、桩身应力分布、桩身轴力变化规律及桩间土体受力情况等,并结合具体工程,对支盘桩的技术经济性进行了分析.结果表明:支盘桩群桩在竖向和水平作用下的受力特点与单独承受竖向荷载作用时有所不同;同等条件下,相对于普通等径灌注桩,挤扩支盘桩群桩基础的设计尺寸、材料用量、施工造价及工期均有减少,具有较大的经济效益.     

新型粘结剂材料的工艺试验与研究

对聚苯乙烯溶于松柏油所形成的粘结剂芯砂进行了实验研究,目的在于尝试寻找一种新型粘结材料,从而取代目前常用的、价格昂贵的、对环境污染严重的合脂芯砂。为此,在进行大量基础实验后采取了正交试验,从中找出最佳工艺参数和工艺方案,通过一系列实验,认为新型粘结剂性能良好,价格便宜,无污染,是一种比较理想的芯砂粘结材料。     

COMPARISON OF VARIOUS PARTICLE SIZING TECHNIQUES

SEM,TEM,gas adsorption,X-ray Sedigraph and laser particle sizing have been employed to analyse particle size distribution and powder agglomeration for Alcoa A16 and for Sumitomo AKS-53B and SKP-53 α-Al2O3 powders on several occasions as well.Comparison and evaluation of various particle-sizing techniques have been made.     

聚丙烯腈丝条水洗过程中残留DMSO扩散规律的研究

在聚丙烯腈原丝生产过程中,水洗对原丝的结构和性能有重要影响。研究了不同水洗条件下残留DMSO的溶出规律,通过Fick定律建立了溶剂的扩散数学模型,得到不同条件下的扩散系数值,并且通过实验值对其进行修正。借助压汞法考察了不同水洗条件下丝条的孔隙结构参数变化,结果表明:丝条中存在着丰富的微孔,超声波的加入使丝条平均孔径减小。孔结构的变化改变扩散系数,孔隙率增大时扩散系数增大。     

基于ARM的嵌入式智能视频监控系统设计

提出了一种基于ARM系列微处理器S3C2410的智能视频监控系统。介绍了此系统的软、硬件构成、流程设计及目标检测算法。该系统能有效降低存储的视频信息的冗余性、减轻监控人员的工作负荷．监控效果良好。     

Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated power distribution networks

With multiple microgrids (MGs) integrated into power distribution networks in a distributed manner, the penetration of renewable energy like photovoltaic (PV) power generation surges. However, the operation of power distribution networks is challenged by the issues of multiple power flow directions and voltage security. Accordingly, an efficient voltage control strategy is needed to ensure voltage security against ever-changing operating conditions, especially when the network topology information is absent or inaccurate. In this paper, we propose a novel data-driven voltage profile improvement model, denoted as system-wide composite adaptive network (SCAN), which depends on operational data instead of network topology details in the context of power distribution networks integrated with multiple MGs. Unlike existing studies that realize topology identification and decision-making optimization in sequence, the proposed end-to-end model determines the optimal voltage control decisions in one shot. More specifically, the proposed model consists of four modules, Pre-training Network and modified interior point methods with adversarial networks (Modified IPMAN) as core modules, and discriminator generative adversarial network (Dis-GAN) and Volt convolutional neural network (Volt-CNN) as ancillary modules. In particular, the generator in SCAN is trained by the core modules in sequence so as to form an end-to-end mode from data to decision. Numerical experiments based on IEEE 33-bus and 123-bus systems have validated the effectiveness and efficiency of the proposed method.     

Effects of rare earth ion modifications on the photoelectrochemical properties of ZnO-based dye-sensitized solar cells

Dye-sensitized solar cells (DSSCs) were fabricated by using porous ZnO film electrodes derived from home-made ZnO nanoparticles. Electrochemical impedance spectroscopy and open-circuit voltage decay curve measurements were performed to investigate the photoelectrochemical characteristics of the ZnO films modified with different rare earth (La, Ce, Nd, Sm, and Gd) ions. The experimental results indicate that the rare earth oxides covered on the electrode surfaces can form energy barrier and maintain a lower charge recombination probability, and some rare earth ion modifications can passivate the surface states of ZnO electrode. Among these rare earth ions tested, the Nd-, Sm- and Gd-ion modifications can obviously enhance the open-circuit photovoltage and fill factor of the ZnO-based solar cell; whereas the La-, Ce-, Nd-, and Sm-ion modificaions lead to a decreased short-circuit photocurrent. The optimal conversion efficiency is obtained from the Gd-ion modified ZnO-based cells, with a 44.5% improvement in the efficiency as compared to the unmodified one, indicating this rare earth ion modification is promising in the ZnO-based solar cell.