《资治通鉴》历史领域本体构建及其应用研究

该文分析了目前领域本体构建过程中存在的一些问题,特别是“实例”在本体框架中的定位问题。在此基础上提出了《资治通鉴》历史领域本体工程和与之相适应的领域本体构建方法,即采用模式驱动的方式,自底向上构建领域本体,并用此方法实现了工程的先秦部分——先秦史本体。最后从SPARQL语言的本体查询和TouchGraph可视化两方面的应用评价了这个本体。     

基于VFP8的工程预算系统的设计与实现

作为石油化工行业工程安装企业,投标报价依据定额、人工费、机械费、材料费来编制预算。利用Visual FoxPro8（VFP8）系统既具有数据库管理系统的功能,又具有强大的可视化程序开发功能,运用面向对象程序设计的方法,设计开发了工程预算管理系统。该系统可以对全国统一安装定额和不同地区估价表进行管理及维护,并编制工程造价预算书。     

航电枢纽工程施工期智能度汛系统设计与应用

为更加科学有效地指导航电枢纽工程施工期防洪度汛工作,在现有防洪度汛措施及方案的基础上,针对预警信息不直观、洪水演进不可视、风险分析不整体等问题,通过数据库建设、洪水演进模型构建、洪水演进自定义分析、GIS可视化建设,研发基于GIS的航电枢纽工程施工期智能度汛系统,实现对区域内水文水情数据的地图展示、枢纽处流量预报数据的实时接入、洪水演进过程的直观展示、枢纽工程防洪要素的整体分析及预警信息的及时发布。系统的投入使用,提高了汛情预报、预警水平,强化了洪水分析及受灾评估能力,增强了汛情综合研判及辅助决策能力,有效保障了航电枢纽工程施工期的安全建设。     

基于OpenGL的空间探测器飞行轨迹可视化

在探讨了探测器轨迹的存储机制和实现方法的基础上,研究并实现了基于OpenGL的探测器在地心惯性系下的飞行轨迹、地面测控站的可见性轨迹、探测器相对于地球固连系的飞行轨迹以及探测器的星下点轨迹等多种轨迹的可视化。实际应用表明,这些可视化效果能表达各种不同的轨道信息,并使用户对探测器的飞行过程有全面、直观的认识。     

基于数字地球的林火灾害建模

针对数字地球上林火灾害可视化问题,建立林火灾害仿真可视化框架。设计蔓延表现算法,采用Rothermel火行为计算模型和邻接单元蔓延模型。提出一种网格均匀划分的简化模型,进行仿真实验。结果表明,该方法能在数字地球上表达林火蔓延过程,较好地描述林火蔓延物理机理,为三维地理环境上的灾害分析提供辅助支持。     

基于DevOps的轻量级持续交付方案

如何快速向用户交付可靠的产品,是近年来持续交付研究和应用的热点问题,传统的软件敏捷方法在交付过程中缺乏团队协作和标准化的构建流程,大公司DevOps框架因体系复杂在中小规模企业应用时会产生迭代速度和产品质量相互制约的矛盾,本文提出一种基于DevOps轻量级的持续交付框架,在角色叠加、迭代频繁的项目场景中,以脚本形式自动实现项目代码获取、测试、构建和部署,完成项目持续交付.通过行业调查、企业实践验证方案不仅可以缩短项目周期、提高交付质量,还能够实现交付过程可视化,促进软件质量不断改进.     

大藤峡工程项目管理系统的设计与实现

为全面掌控大藤峡水利枢纽工程建设,在详细分析大藤峡水利枢纽工程项目建设基础上,基于项目管理软件产品的多种引擎支撑及功能模块的实现使系统数据互联互通,通过 BIM 技术建立模型实现工程建模可视化、虚拟化管理,完成大藤峡水利枢纽工程建设项目管理系统的建设。项目管理系统可为工程建设管理的各部门提供协同工作平台,实现数据信息的填报、发送、处理,以及业务的协同共享,提高大藤峡水利枢纽工程建设管理的信息化程度和项目投资预测水平。     

地图投影中一种新的向量显示方法

在地球、空间、环境和气象等领域，全球数据的可视化是经常面临的一个问题，由于地球是一个不可展曲面，在平面上直接表示球面上的向量数据存在着误差。对直接表示方法存在的问题进行了讨论，提出了一种新的基于地图投影的向量可视化方法，并给出了球坐标系下的向量可视化方法，推导出坐标和向量的变换公式。基于新的坐标和向量变换公式进行了试验对比，证明新方法能够得到更好的向量显示。     

Configurable model for real-time crane erection visualization

Detailed simulation and visualization of crane activities have been recently introduced to help engineers identify potential problems with critical erection tasks; however, the development of real-time erection visualizations for different types of cranes and lifting objects is time-consuming, and usually requires a certain amount of effort in modeling and setting up the environment. This research proposes a configurable model which is reusable, fast-prototyping, and extendable to support real-time visualization of the erection process. The developed model of the crane is divided into three modules which can be reconfigured for different erection tasks. Each module is defined using multiple rigid bodies and the joint constraints of multibody dynamics. The proposed modeling method can also be easily adapted to existing physics engines. To evaluate the feasibility of the proposed method, we observed the processes involved in a common erection activity and compared this with the visualization results obtained using proposed method. We also simulated a cooperative cranes scenario taken from an actual construction project to demonstrate its usability. We found that the proposed modeling method was easily able to visualize various erection activities with different cranes and configurations.     

军事目标关系的拟合地势及双重保凸可视建模

在三维虚拟战场中,由于地球曲率及地形起伏的影响,军事目标之间的连线会出现“穿山入地”现象。针对该问题,结合网络可视化美学原则,提出了一个军事目标关系的保凸可视化算法。在目标之间进行剖面分析,获取表达地形起伏的高程采样数据;提出了与目标等的融合、替换及剔除策略,基于Graham凸包算法,优选出反映地形整体变化趋势的保凸特征点集;提出了保凸的贝塞尔（Bézier）曲线控制点的几何构造方法,通过逐段光滑插值,实现了整条曲线的保凸可视化。实验结果表明：消除了目标连接直线“穿山入地”的现象,具有较好的视觉美感：拟合地势、整体保凸、整体光滑。     

工作流在工程项目施工管理中的应用研究

在信息技术飞速发展的今天,工作流技术在管理中的应用越来越重要。它起源于办公自动化,后来广泛地应用于图像处理、文档管理、群件系统等领域,现已成为建设ERP、CRM、物流管理、项目管理等企业信息系统的核心技术。主要介绍基于EOS开发平台的可视化工作流,并以工程项目施工管理中工障事故处理工作流程为实例来阐述工作流在工程项目施工管理中的应用。详细说明工作流在工程项目施工管理中的应用过程,展现了EOS对事务处理的灵活性和方便性。     

On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach

A large-scale project produces a lot of text data during construction commonly achieved as various management reports. Having the right information at the right time can help the project team understand the project status and manage the construction process more efficiently. However, text information is presented in unstructured or semi-structured formats. Extracting useful information from such a large text warehouse is a challenge. A manual process is costly and often times cannot deliver the right information to the right person at the right time. This research proposes an integrated intelligent approach based on natural language processing technology (NLP), which mainly involves three stages. First, a text classification model based on Convolution Neural Network (CNN) is developed to classify the construction on-site reports by analyzing and extracting report text features. At the second stage, the classified construction report texts are analyzed with improved frequency-inverse document frequency (TF-IDF) by mutual information to identify and mine construction knowledge. At the third stage, a relation network based on the co-occurrence matrix of the knowledge is presented for visualization and better understanding of the construction on-site information. Actual construction reports are used to verify the feasibility of this approach. The study provides a new approach for handling construction on-site text data which can lead to enhancing management efficiency and practical knowledge discovery for project management.     

基于ArcIMS的房屋拆迁GIS分析系统

在“数字地球”的召唤下,“数字城市”作为全球网络化进程中的新概念展现在人们面前,它作为“数字中国”乃至“数字区域”和“数字地球”必不可少的组成部分,为全球的信息化注入了新的活力。“信息化、网络化、智能化和可视化”是对“数字城市”最基本的要求。该文结合南京“数字房产”共享平台项目,在WebGIS技术的支持下,实现了AreIMS在房屋拆迁GIS分斩系统中的应用。     

基于三维地球场景的干扰条件雷达探测范围可视化方法

雷达探测范围的三维可视化是现代战场电磁态势显示的关键组成部分。以电子对抗情况中雷达探测范围模型为基础,深入研究雷达局部坐标与地心直角坐标的转换算法,提出一种基于三维地球场景绘制理想条件与干扰条件下雷达探测范围的可视化方法。研究设计基于理想条件与干扰条件下雷达探测范围可视化数据需求的数据库,并基于三维地球场景平台ArcGlobe,结合OpenGL绘图技术,应用该可视化方法开发海战场电磁态势显示系统。实验结果表明该可视化方法能够高效形象地在三维地球场景下展现理想条件与干扰条件下的雷达探测范围,为指挥员洞察战场态势提供支持。     

An integrated data collection and analysis framework for remote monitoring and planning of construction operations

Recent advances in data collection and operations analysis techniques have facilitated the process of designing, analyzing, planning, and controlling of engineering processes. Mathematical tools such as graphical models, scheduling techniques, operations research, and simulation have enabled engineers to create models that represent activities, resources, and the environment under which a project is taking place. Traditionally, most simulation paradigms use static or historical data to create computer interpretable representations of real engineering systems. The suitability of this approach for modeling construction operations, however, has always been a challenge since most construction projects are unique in nature as every project is different in design, specifications, methods, and standards. Due to the dynamic nature and complexity of most construction operations, there is a significant need for a methodology that combines the capabilities of traditional modeling of engineering systems and real time field data collection. This paper presents the requirements and applicability of a data-driven modeling framework capable of collecting and manipulating real time field data from construction equipment, creating dynamic 3D visualizations of ongoing engineering activities, and updating the contents of a discrete event simulation model representing the real engineering system. The developed framework can be adopted for use by project decision-makers for short-term project planning and control since the resulting simulation and visualization are completely based on the latest status of project entities.     

水利水电工程施工系统三维建模与仿真

该文基于GIS平台，采用三维可视化技术，提出了实现水利水电工程施工系统三维可视化数字模型的构造与施工过程动态仿真的方法。文中首先阐述了基于GIS的三维可视化原理，接着探讨了三维可视化数字模型的构造方法，然后详细介绍了地形数字化技术，静态地物实体建模技术，动态实体模拟方法，以及施工过程动态仿真途径，最后给出了几个应用实例，表明本方法具有较好的实用性。     

An information fusion approach for filtering GNSS data sets collected during construction operations

Global Navigation Satellite Systems (GNSS) are widely used to document the on- and off-site trajectories of construction equipment. Before analyzing the collected data for better understanding and improving construction operations, the data need to be freed from outliers. Eliminating outliers is challenging. While manually identifying outliers is a time-consuming and error-prone process, automatic filtering is exposed to false positives errors, which can lead to eliminating accurate trajectory segments. This paper addresses this issue by proposing a hybrid filtering method, which integrates experts’ decisions. The decisions are operationalized as parameters to search for next outliers and are based on visualization of sensor readings and the human-generated notes that describe specifics of the construction project. A specialized open-source software prototype was developed and applied by the authors to illustrate the proposed approach. The software was utilized to filter outliers in sensor readings collected during earthmoving and asphalt paving projects that involved five different types of common construction equipment.     

Optimization of earth recycling and dump truck dispatching

Earth is one of the major materials used in the construction industry. Recycling earth reduces the cost of waste disposal and generates revenue for contractors. More importantly, utilizing reusable materials minimizes construction waste and reduces the environmental impact. One of the key requirements to ensure the effectiveness of earth recycling is a well-designed schedule for the movement of the dump trucks that transport earth materials to their destinations in a timely fashion. Therefore, in this study a mathematical model is developed to plan earth recycling and dump truck dispatching simultaneously from a system optimization perspective. The time-space network technique is adopted to formulate the dump truck and earth material flows in the dimensions of time and space. The model is formulated as a special multiple commodity network flow problem, which is characterized as NP-hard. To solve the real-world large-scale problems in a reasonable time, a heuristic algorithm using problem decomposition and relaxation is proposed. To suitably evaluate the model and algorithm, a case study is performed using actual parameters obtained from a large construction project in Taiwan and statistical data gleaned from government reports. The test results show that the problem can be efficiently solved and the error gap is within 0.5%. The scenario analysis indicates that the proposed framework could also be used for different problem scales. The model, coupled with the solution algorithm, has potential to serve as a planning tool for construction contractors to design optimal schedules for recycling earth materials and dispatching trucks.     

基于GIS的退耕还林工程管理信息系统的设计与实现

详细描述了运用软件工程方法、地理信息系统技术和数据库分析技术等开发“基于GIS的退耕还林工程管理信息系统”的全过程。系统实现了退耕还林工程数据的标准化存储管理以及方便快捷的查询检索和可视化分析处理,为提高工程的管理效率,实现工程管理的规范化、准确化和自动化打下坚实的基础。     

Enhanced NURBS modeling and visualization for large 3D geoengineering applications: An example from the Jinping first-level hydropower engineering project,China

Large engineering projects with complex underlying geologic structures require 3D geological integration and analysis. Presented is an example of a large hydroelectric dam, highlighting the need for 3D visualization and modeling as a requirement for the engineering design and construction process. Due to the complex nature of these projects, geological analysis using 3D modeling is commonly necessary. In this paper we present an integrated 3D geological modeling methodology for the analysis of large amounts of exploration data, and subsequent geological interpretation based on the non-uniform rational B-spline (NURBS) technique, the triangulated irregular network (TIN) algorithm and boundary representation. The procedural details and application of the proposed approach are demonstrated with reference to an actual hydropower engineering project. The new approach offered a good scheme to solve the inconsistencies among storage, accuracy and operational speed of the model. A 3D model was developed and validated using testing data from the engineering project. Visual analysis of the 3D model helps engineers to comprehend the complexity of geological structures, and enables arbitrary cutting, rock-mass quality classification, and digital drilling.