Four-dimensional Visual Analysis and Design Optimization of LC Filters at DC Side of Single-phase Diode Rectifiers

整流滤波电路用途广泛但其优化设计不易得到全局最优解。对单相桥式不控整流电路的LC滤波器进行深分析，得到输出平均电压、浪涌电流、振荡电压、谐波衰减比和体积等的表达式f（L，C,R），并在Matlab环境下用四维数据场展现其全局的值域分布，按需用不同交集来表征所须兼顾的多个设计目标，逐步导入约束条件来进行优化。实验结果表明，在滤波器外特性基本相同的前提下，基于数据场可视化算法的优化设计达到了体积缩小1／4的效果。

Usefulness of three-dimensional visualization technology in minimally invasive treatment for infected necrotizing pancreatitis

AIM To explore the value of three-dimensional(3 D) visualization technology in the minimally invasive treatment for infected necrotizing pancreatitis(INP). METHODS Clinical data of 18 patients with INP, who were admitted to the PLA General Hospital in 2017, were retrospectively analyzed. Two-dimensional images of computed tomography were converted into 3 D images based on 3 D visualization technology. The size, number, shape and position of lesions and their relationship with major abdominal vasculature were well displayed. Also, percutaneous catheter drainage(PCD) number and puncture paths were designed through virtual surgery(percutaneous nephroscopic necrosectomy) based on the principle of maximum removal of infected necrosis conveniently.RESULTS Abdominal 3 D visualization images of all the patients were well reconstructed, and the optimal PCD puncture paths were well designed. Infected necrosis was conveniently removed in abundance using a nephroscope during the following surgery, and the median operation time was 102(102 ± 20.7) min. Only 1 patient underwent endoscopic necrosectomy because of residual necrosis. CONCLUSION The 3 D visualization technology could optimize the PCD puncture paths, improving the drainage effect in patients with INP. Moreover, it significantly increased the efficiency of necrosectomy through the rigid nephroscope. As a result, it decreased operation times and improved the prognosis.

Intelligent prediction of slope stability based on visual exploratory data analysis of 77 in situ cases

Slope stability prediction research is a complex non-linear system problem.In carrying out slope stability prediction work,it often encounters low accuracy of prediction models and blind data preprocessing.Based on 77 field cases,5 quantitative indicators are selected to improve the accuracy of prediction models for slope stability.These indicators include slope angle,slope height,internal friction angle,cohesion and unit weight of rock and soil.Potential data aggregation in the prediction of slope stability is analyzed and visualized based on Six-dimension reduction methods,namely principal components analysis(PCA),Kernel PCA,factor analysis(FA),independent component analysis(ICA),non-negative matrix factorization(NMF)and t-SNE(stochastic neighbor embedding).Combined with classic machine learning methods,7 prediction models for slope stability are established and their reliabilities are examined by random cross validation.Besides,the significance of each indicator in the prediction of slope stability is discussed using the coefficient of variation method.The research results show that dimension reduction is unnecessary for the data processing of prediction models established in this paper of slope stability.Random forest(RF),support vector machine(SVM)and k-nearest neighbour(KNN)achieve the best prediction accuracy,which is higher than 90%.The decision tree(DT)has better accuracy which is 86%.The most important factor influencing slope stability is slope height,while unit weight of rock and soil is the least significant.RF and SVM models have the best accuracy and superiority in slope stability prediction.The results provide a new approach toward slope stability prediction in geotechnical engineering.

Application of Three-Dimensional Visual Simulation in Tidal Defense Engineering

Any tidal defense engineering involves the collection and analysis of massive information about engineering structures and their surrounding environment. Traditional method, which is carried out mainly by means of twodimensional drawings and textures, is not efficient and intuitive enough to analyze the whole project and reflect its spatial relationship. Three-dimensional visual simulation provides an advanced technical means of solving this problem. In this paper, triangular irregular network (TIN) model simplified by non-uniform rational B-splines (NURBS) technique was used to establish the digital terrain model (DTM) of a super large region. Simulation of dynamic water surface was realized by combining noise function with sine wave superposition method. Models of different objects were established with different modeling techniques according to their characteristics. Application of texture mapping technology remarkably improved the authenticity of the models. Taking the tidal defense engineering in the new coastal region of Tianjin as a case study, three-dimensional visual simulation and dynamic roaming of the study area were realized, providing visual analysis and visible demonstration method for the management and emergency decision-making associated with construction.

Visualization analysis of the capability of weapon system of systems for multi-dimensional indicators

In the field of weapon system of systems (WSOS) simulation, various indicators are widely used to describe the capability of WSOS, but it is always difficult to describe the comprehensive capability of WSOS quickly and intuitively by visualization of multi-dimensional indicators. A method of machine learning and visualization is proposed, which can display and analyze the capabilities of different WSOS in a two-dimensional plane. The analysis and comparison of the comprehensive capability of different components of WSOS is realized by the method, which consists of six parts: multiple simulations, key indicators mining, three spatial distance calculation, fusion project calculation, calculation of individual capability density, and calculation of multiple capability ranges overlay. Binding a simulation experiment, the collaborative analysis of six indicators and 100 possible kinds of red WSOS are achieved. The experimental results show that this method can effectively improve the quality and speed of capabilities analysis, reveal a large number of potential information, and provide a visual support for the qualitative and quantitative analysis model.

Three-dimensional visualization of soil pore structure using computed tomography

The geometric and spatial characteristics of pore structures determine the permeability and water retention of soils, which have important effects on soil functional diversity and ecological restoration. Until recently, there have not been tools and methods to visually and quantitatively describe the characteristics of soil pores. To solve this problem, this research reconstructs the geometry and spatial distribution of soil pores by the marching cubes method, texture mapping method and the ray casting method widely used in literature. The objectives were to explore an optimal method for three-dimensional visualization of soil pore structure by comparing the robustness of the three methods on soil CT images with single pore structure and porosity ranging from low (2–5%) to high (12–18%), and to evaluate the reconstruction performance of the three methods with different geometric features. The results demonstrate that there are aliases (jagged edges) and deficiency at the boundaries of the model reconstructed by the marching cubes method and pore volumes are smaller than the ground truth, whereas the results of the texture mapping method lack the details of pore structures. For all the soil images, the ray casting method is preferable since it better preserves the pore characteristics of the ground truth. Furthermore, the ray casting method produced the best soil pore model with higher rendering speed and lower memory consumption. Therefore, the ray casting method provides a more advanced method for visualization of pore structures and provides an optional technique for the study of the transport of moisture and the exchange of air in soil.

Geologic body three-dimensional model generation and visualization method

The divergence three-dimensional millet-seed body model and the continuous distributing layer-imitating model were introduced, which were used to express geologic body, and the procedure of generating these two models and their merits and demerits were synthesized. Three methods of geologic body’s three-dimensional expression were separately introduced, and the merits of the continuous distributing layer imitating model were proposed as comparing with the divergence three-dimensional millet-seed body model. The three-dimensional cubes were observed from any direction and any tangle with the application of dealing methods such as peeling, hollowing out, transparent or half-transparent.

Application of Three-Dimensional Visualization Technology in Project Management of Offshore Platform Engineering Construction

Three-dimensional visualization technology converts engineering design drawings and data into graphics or images, realizes virtual reality perception of simulated users in future construction scene, enhances the interaction between project management and technical personnel and engineering construction achievement, and provides intuitive, flexible and strong realistic experience for project management. It can effectively improve the level of project communication, and assist the needs of project construction planning management, training, exhibition, etc. As a tool to help improve project management skills, it has good application effect and prospects.

基于Visual MODFLOW的汉中盆地三维可视化模型构建方法

根据区域水文地质特征将地下水类型划分为潜水和承压水,概化含水层结构为包气带层、潜水含水层、弱透水层和承压含水层。综合利用钻孔、遥感影像、地质地貌、数字高程数据等资料,利用Visual MODFLOW软件中空间三维、非均质、各向异性的非稳定地下水流系统模型实现三维可视化。结果表明,该模型构建方法能够较为准确地刻画地层结构和水文地质特征,实现三维地质体的精准模拟,为进一步开展地下水数值模拟和溶质运移工作提供支撑。

VISUALIZATION OF THREE-DIMENSIONAL DATA FIELD AND ITS APPLICATION IN MACHINE TESTING

In order to realize visualization of three-dimensional data field （TDDF） in instrument, two methods of visualization of TDDF and the usual manner of quick graphic and image processing are analyzed. And how to use OpenGL technique and the characteristic of analyzed data to construct a TDDF, the ways of reality processing and interactive processing are described. Then the medium geometric element and a related realistic model are constructed by means of the first algorithm. Models obtained for attaching the third dimension in three-dimensional data field are presented. An example for TDDF realization of machine measuring is provided. The analysis of resultant graphic indicates that the three-dimensional graphics built by the method developed is featured by good reality, fast processing and strong interaction

In-situ three-dimensional visualization of dynamic tension deformation in ferrite stainless steels

An improved three-dimensional （3-D） experimental visualization methodology is presented tor evaluating the fracture mechanisms of ferritic stainless steels by in-situ tensile testing with an environmental scanning electron microscope （ESEM）. The samples were machined with a radial notched shape and a sloped surface. Both planar surface deformation and sloping surface deformation-induced microvoids were observed during dynamic tension experiments, where a greater amount of information could be obtained from the sloping surface. The results showed that microvoids formed at the grain boundaries of highly elongated large grains. The microvoids nucleated in the severely deformed regions grew nearly parallel to the tensile axis, predominantly along the grain boundaries. The microvoids nucleated at the interface of particles and the matrix did not propagate due to the high plasticity of the matrix. The large microvoids propagated and showed a zigzag shape along the grain boundaries,seemingly a consequence of the fracture of the slip bands caused by dislocation pile-ups. The final failure took place due to the reduction of the load-beating area.

基于形态学开运算的浸矿体系孔隙结构及其演化特征

立足堆浸体系的偏析分层复杂结构,结合X-ray CT无损探测、形态学开运算处理、MATLAB和OsiriX可视化软件等手段,引入颗粒间孔隙的当量孔隙尺寸、面积、数量等关键表征参量,如从二维量化和三维可视化层面揭示浸矿体系中颗粒间孔隙结构特征及其演化规律.研究发现,细颗粒夹层呈“包裹体”状且均位于粗矿石颗粒的内部,分析认为其是造成堆浸体系颗粒偏析和分层的重要致因;浸矿作用下微细颗粒迁移导致矿堆内部发生沉积压实作用,由197 mm降至180 mm以下;浸矿21 d后,矿堆上部孔隙呈增大趋势,下部孔隙率呈减小趋势,此外,纵向当量孔隙的直径由2.81 mm减小至2.18 mm,其变化趋势和程度要显著大于横向颗粒间孔隙的当量直径;对比浸矿0 d和21 d的柱浸体系三维颗粒间孔隙结构,证实了细颗粒夹层所处区域的粘结聚集以及细颗粒夹层周边区域形成溶液绕流、溶液优势流动路径.

浅谈数字化设计对产品包装的影响——以三维可视化立体模型为例

随着科技的不断发展,三维可视化技术已被应用于多个领域。三维可视化技术是一种将三维模型转化为二维图像的技术,可以将复杂的产品结构、工艺流程、装配方式等信息以三维的形式呈现出来,让人们更加直观地了解产品。对产品包装设计的数码设计来说,三维可视化技术已经逐渐成为产品包装设计和营销中不可或缺的一部分。利用三维可视化技术,可以更直观地展现产品的外包装、功能、性能等信息,从而吸引更多的消费者,提高产品销量。本文以三维可视化的立体模型为例,主要阐述了产品包装设计的数码设计效果。

机械臂环境三维重建与避障算法研究

为了解决机器人在未知环境中的避障规划难题,提出了一种基于视觉的三维重建与避障规划方法。通过深度相机(RealSense D435i)与机械臂组成手眼系统,首先,根据目标物体与ArUco码的相对关系,通过相机获取的ArUco标记上的特征点坐标,求解出目标物姿态;然后,改进三维重建方法,通过融合机械臂工具末端位姿和多帧点云数据,对环境进行较高精度的三维重建,作为后续规划的障碍空间;最后,应用了快速扩展随机树(RRT)的改进算法进行机械臂的避障运动规划。研究搭建了仿真及控制平台,来进行验证。实验表明:环境三维建模的精度维持在8mm以内,避障成功率为96.5%,平均规划时间为1.2s,验证了方法的可行性。

基于结构光的铆钉凹凸量双目视觉检测方法

为了弥补飞机铆钉凹凸量的传统检测方式在精度、效率及稳定性方面的不足,提出了一种基于结构光的铆钉凹凸量双目视觉检测方法。首先通过工业投影仪将结构光投射到铆接表面,由双目相机采集投影图像。然后根据铆钉边缘特征提取出铆接区域,并采用改进的格雷码解相位方法计算铆接区域表面的相位信息。根据相位信息匹配特征点,利用视差原理计算出点云。最后通过点云数据处理,计算出铆钉的凹凸量。制作标准件并完成了凹凸量测量试验,测量误差在±20μm以内,重复测量标准差小于3μm,单个铆钉测量用时约2.2 s,能够满足现场测量精度和效率要求。

二维主动位姿引导的单目空间姿态测量方法

针对空间物体姿态快速测量问题,以构建视觉最小系统需求为依据,研究了一种基于二维主动位姿引导的单目视觉空间姿态测量方法,建立了单目相机、二维载台与倾角仪之间的姿态测量模型,实现了空间物体的姿态角的测量。该方法以大地倾角仪坐标系统一测量系统的测量基准,由精密二维载台引导单目相机覆盖地空大视野三维空间,通过前期标定设计完成了单目相机与二维载台之间的工装校准;建立了载台坐标系、摄像机坐标系以及大地倾角仪坐标系之间的姿态测量传递模型,实现了定轴旋转双视角拍照下的空间物体的姿态解算和角度测量。构建了实验验证环境,测角实验结果表明:在系统测量基准坐标系下,其俯仰角的测量误差≤0.82°,测量相对误差≤6.1%;其横滚角的测量误差≤0.43°,测量相对误差≤3.4%。

混合现实技术在口腔颌面部肿瘤诊疗中的应用

口腔颌面部肿瘤是口腔颌面外科的常见疾病,以虚拟手术设计、手术导航为代表的数字化外科技术目前已成为口腔颌面部肿瘤外科诊治的主要辅助手段。然而,现有的数字化技术在三维可视化成像、术中手眼配合等方面仍存在提升空间。目前,以混合现实技术为代表的三维可视化技术已经在医学领域迅速发展和应用,通过将三维虚拟图像叠加到真实的手术环境中,可辅助实现医学影像实时立体呈现,已逐步应用于口腔颌面部肿瘤的诊治中。术前可基于影像数据构建肿瘤及其周边重要结构三维模型,在混合现实环境中,进行个性化术前评估和手术方案设计;术中将混合现实技术与手术导航技术相结合,可以在术区真实环境中实时显示三维虚拟模型,克服单纯使用导航技术的手眼协调问题,进一步提高口腔颌面部肿瘤手术的精确性和安全性。混合现实技术与远程互联网医疗技术相结合,还可以提供高质量的教学平台,推动地区口腔颌面外科诊疗水平的发展。混合现实技术的局限性主要在于术区影像遮挡、单纯使用时精度不足、配准时间长等。笔者结合国内外文献报道以及本课题组的临床实践,对混合现实技术在口腔颌面部肿瘤诊疗中的应用进行归纳与总结。

基于数字孪生技术的奶牛场养殖监控平台设计

为应对动物疫情以及非牧场人员对奶牛养殖生产的不利影响,结合奶牛场的需求,采用数字孪生技术,提出构建数字孪生奶牛场养殖监控平台的方案。此平台基于数字孪生奶牛场模型(DDTM)搭建,DDTM由三部分组成,分别为数字奶牛场的几何模型GM、信息模型IM和预测模型PM。对于GM采用3ds MAX三维建模软件对奶牛场内的建筑、奶牛以及设备进行几何建模,最终实现奶牛场的三维可视化效果;对于IM通过特定孪生标识体系、远程数据上传以及解析等方法,实现数字孪生奶牛场与实际物理奶牛场之间的映射;对于PM利用预测模型预测养殖舍内温湿度变化趋势,指导奶牛的养殖健康和生产。这一综合方案为数字孪生奶牛场的建设提供创新的思路和实践参考,将促进数字畜牧的可持续发展、提高奶牛养殖的效益。

儿童颈项部腧穴三维数字可视化系统研发与应用

背景:目前已有成人腧穴三维数字化、可视化系统的相关研究,但基于真实儿童数字化断层解剖数据集对儿童腧穴可视化相关的研究报道并不多见。目的:设计研发儿童颈项部腧穴数字三维可视化系统,为针灸学、经络腧穴学教学、针灸临床、针刺施术手法练习及针刺安全性研究提供依据,并为研发儿童腧穴仿真系统提供基础。方法:基于真实学龄前男童断层解剖数据集,运用PhotoShop 2021与Digihuman Reconstruction System软件完成儿童颈项部三维数字化虚拟解剖模型及内部多器官三维重建;通过Unity数据库语言编制风府、风池等11个腧穴的数据库;在Unity3D软件中整合儿童颈项部解剖立体模型、腧穴数据库及编写针刺操作代码,成功创建集仿真腧穴定位、三维腧穴解剖、针刺训练、临床教学及针刺安全性研究等多功能于一体的儿童颈项部腧穴三维数字可视化系统。结果与结论:①该研究基于真实儿童标本,采用手动逐层分割断面图像法以最大程度确保3D模型精度。使用3D软件Digihuman Reconstruction System提取和保存独立分割数据,与PhotoShop 2021软件共同完成儿童颈项部外层皮肤与其内部骨性结构、颈部脊髓、血管和神经、肌肉及韧带等数十个三维重建解剖结构模型。于MeshLab软件中完成各独立结构基本形态和整体轮廓完整性核验工作,并利用3-maticresearch13.0软件进行最终精细化调校及解剖位置确认,成功模拟还原学龄前儿童颈项部真实解剖形态。②依据并参考中华人民共和国国家标准收集整理儿童颈项部常用腧穴的名称、所属经脉、定位、局部解剖、进针层次、针刺方法、针刺意外与预防、腧穴主治、二维解剖断层图像等8个方面内容形成腧穴数据库。③运用Unity3D软件将儿童颈项部三维模型、针刺模拟操作和腧穴数据库三者整合,成功构建三维数字儿童颈项部腧穴可视化系统。该系统可显示儿童颈项部腧穴的信息、二维三维解剖结构,并实现了儿童颈项部腧穴的二维、三维针刺模拟功能及针刺安全性研究功能。基于真实儿童标本超薄断层解剖数据集,构建了首个儿童颈项部腧穴三维数字化、可视化系统,较既往腧穴系统更贴合亚洲儿童的解剖形态学发育特点,在针刺安全性研究、临床教学及针刺模拟训练等领域具有极高的应用价值。

显微CT技术在钧釉瓷微观结构中的应用

X射线显微镜(显微CT)是一种非破坏性的高分辨率成像技术。采用显微CT扫描和三维重建技术,对金元时期的钧釉瓷内部气泡和孔隙进行三维可视化和定量分析,得到了三维可视化分布图像与定量数据。研究发现,金元时期钧釉瓷釉层气泡尺寸相差大,且分布离散。其中,大于100μm的气泡主要分布在釉层中层;小于100μm的气泡分布在釉层表层,通过结合岩相分析与化学组成分析发现,该特征的形成与釉的高温黏度、烧成温度等因素有关。研究采用了显微CT扫描与三维重建技术,其是一种无损分析古陶瓷气泡与孔隙特征及工艺的新方法,该研究验证了显微CT在古陶瓷微观结构研究中的可行性和有效性,为古陶瓷制作工艺的科学分析、鉴定、保护和修复等方面提供重要的实验依据。