重型燃气轮机的模块化建模研究

通过对重型燃气轮机的结构和工作原理的分析,将燃气轮机进行局部子系统划分,分为压气机、燃烧室以及透平三个子系统.分别研究它们的工作原理和动态特性,以质量守恒和能量守恒原理为基础,详细论述了子系统的模型算法.采用模块化的建模方法,分别建立压气机、燃烧室及透平的模块,并建立燃气轮机的整体仿真模型.     

基于ε-Connections的模块化本体建模研究

模块化本体将模块化的思想引入本体研究领域,将本体组织成多个本体模块的集成形式,这样不仅方便了本体的构建,也有利于本体的维护、共享和重用。在提出了一个模块化本体的三层体系结构的基础上,将模块化本体建模过程划分为本体模块划分、本体模块构建、本体模块集成和本体模块一致性检验四个步骤。在分别阐述各个步骤的主要工作之后,使用ε-Connections构建了一个减速器本体的模块化实例,验证了上述模块化本体建模步骤的可行性。     

输电塔架参数化三维建模方法研究与实现

快速建立输电塔架三维仿真模型对电网安全运行与信息管理有重要作用。根据输电塔架的结构特点及结构相似性进行模块化划分,并用参数化方法为相同结构型式的模块建立原始三维模型;在此基础上根据塔架型号与呼高,对各模块进行选择与组装,赋值参数驱动各模块的原始模型,实现各种塔型与呼高的塔架三维快速建模。以某酒杯型直线塔为例,输入塔架型号与呼高即实现其三维模型快速建立,验证了该参数化三维建模方法的正确性与实用性。     

基于Pro/Toolkit的锻压机床装配模型快速设计

为了快速响应市场需求,提高设计效率,针对锻压机床产品少批量、多种类、设计周期长等特点,利用模块化技术分析锻压机床产品,提出基于Pro/Toolkit技术的锻压机床产品装配模型的快速设计体系,分析模块划分、模块设计、产品建模、产品装配等相关技术。实例验证了该系统的各项技术,并给出设计过程与结果。     

基于功能构件分解的机器人模块化设计方法

模块化机器人系统不仅包括模块化的机械硬件,而且还包括模块化电气硬件、控制算法和软件。模块的合理划分与重构是机器人模块化设计的重要研究内容。本文按照功能特征兼顾机器人的结构特征进行模块划分,提出基于功能构件划分的分层结构,即系统层一模块化单元层一功能构件层;并以服务机器人为例说明模块划分原则,具有功能独立性的最小模块单元的功能构件的特征以及识别功能构件的核心逻辑,阐述基于图论的运动学图和矩阵进行模块化机器人拓扑构形表达方法,通过引入接口向量来构造装配关联矩阵详细描述模块间的装配关系,介绍基于旋量理论的模块化可重构机器人运动学自动建模方法。     

ISO7776协议的面向对象设计和实现

采用统一建模语言UML对ISO7776协议进行了分析和面向对象建模,得到了协议的相互独立的模块,按照模块化面向对象模型进行重新组装,实现了ISO7776协议的模块化面向对象模型。给出了建立网络协议的模块化面向对象模型的一个方法。     

产品模块化设计中模块划分的多角度、分级特性讨论

一、概述 当今，市场需求向多样化、个性化方向发展。为了满足日益丰富且快速变化的市场需求，产品开发者要尽可能地加快产品的开发速度并提高产品的适应性。模块化设计方法为快速高效地开发系列化产品提供了有效手段。在模块化设计中，最基础也是十分重要的一步就是模块划分工作。模块划分的结果将直接影响到模块化产品的功能、性能和成本。为了得到合理的模块划分方案，设计者必须从自身的特定角度对产品的功能、结构以及各部分之间的关系做出全面细致的分析。1．模块划分的目的性模块划分具有很强的目的性。有些设计者进行模块划分主要…     

柴燃联合动力装置及其控制系统仿真建模研究

讨论了柴燃联合动力装置及其控制系统仿真建模设计，根据联合动力装置的特点提出了分层模块化建模的方案，分层模块化的联合动力装置仿真模型适合于在异构型分布式仿真平台上的运行。对联合动力装置中燃气轮机子模块提出了基于典型部件和环节的模块化仿真建模方法，该方法避免了流量迭代，简化了仿真计算流程，提高了模型的通用性。     

多约束条件下定制产品模块划分方法

为解决定制设计过程中模块划分问题,提出多约束条件下模块划分方法,该方法以功能域、结构域、用户需求域为多约束条件,提出产品定制模块多约束划分准则,构建产品零部件功能关联性矩阵、结构性关联矩阵以及用户需求关联性矩阵,并采用层次分析法确定三种约束之间的权重系数,计算产品零部件两两之间模块化综合关联度。依据模块化综合关联度和阈值生成相应的模块划分方案。并以开关柜为实例,验证了该方法的可行性。     

大规模过程系统的结构化开放方程建模

本在联立方程法及其拓展技术基础上,提出一种结构化的开放方程建模机制,并借鉴模块化思想,论述了结构化体系在模型维护、扩展中的优势,并从原子模型构造、模块实例化和模型集结、继承和复用、变量和方程的快速检索等关键问题出发,结合精馏塔建模范例,讨论了方程系统设计实现中诸多方面的关键技术问题。     

Object-Oriented Modelling of Flexible Beams

In this paper the problem of modelling flexible thin beams in multibody systems is tackled. The proposed model, implemented with the object-oriented modelling language Modelica, is completely modular, allowing the realization of complex systems by simple aggregation of basic components. The finite element method is employed as the basic scheme to spatially discretize the model equations. Exploiting the modular features of the language, the beam substructuring discretisation scheme (mixed finite element-finite volume) is derived as well. Selected simulation results are presented in order to validate the model with respect to both theoretical predictions and literature reference results.     

Modelling non-functional requirements of business processes

This paper presents an approach to the identification and inclusion of ‘non-functional’ aspects of a business process in modelling for business improvement. The notion of non-functional requirements (NFRs) is borrowed from software engineering, and a method developed in that field for linking NFRs to conceptual models is adapted and applied to business process modelling. Translated into this domain, NFRs are equated with the general or overall quality attributes of a business process, which, though essential aspects of any effective process, are not well captured in a functionally oriented process model. Using an example of a healthcare process (cancer registration in Jordan). We show how an analysis and evaluation of NFRs can be applied to a process model developed with role activity diagramming (RAD) to operationalise desirable quality features more explicitly in the model. This gives a useful extension to RAD and similar modelling methods, as well as providing a basis for business improvement.     

分子模型的建造

本文着重介绍我们在微机上开发的分子模型建造系统.本系统的分子模型建造部分采用三维手工建造和二维自动建造两种方法.使用者选择不同的方法来建造分子的三维模型进行显示或计算.前者的真三维建造界面使分子造型快速、准确,后者采用距离几何算法将二维分子结构式通过计算转化成分子的三维空间结构.     

Modelling families of business process variants: A decomposition driven method

Business processes usually do not exist as singular entities that can be managed in isolation, but rather as families of business process variants. When modelling such families of variants, analysts are confronted with the choice between modelling each variant separately, or modelling multiple or all variants in a single model. Modelling each variant separately leads to a proliferation of models that share common parts, resulting in redundancies and inconsistencies. Meanwhile, modelling all variants together leads to less but more complex models, thus hindering on comprehensibility. This paper introduces a method for modelling families of process variants that addresses this trade-off. The key tenet of the method is to alternate between steps of decomposition (breaking down processes into sub-processes) and deciding which parts should be modelled together and which ones should be modelled separately. We have applied the method to two case studies: one concerning the consolidation of existing process models, and another dealing with green-field process discovery. In both cases, the method produced fewer models with respect to the baseline and reduced duplicity by up to 50% without significant impact on complexity.     

Modelling Jackson's programming method

The aim of this paper is to present a modelling scheme for programming methods and to illustrate it on Jackson's programming method. We first give a formal semantics to the objects of this method and we model the basic strategy of matching trees in order to build a program structure. In the next section we study how to support a formal development, its automatization, and the building of a formal specification within the scope of our model. Then an example is developed. The last section addresses alternative strategies suggested by the method in order to solve clash problems, where the basic strategy fails. Boundary and ordering clash situations are presented and their strategies are modelled.     

Modelling of ozone concentrations using a Takagi-Sugeno model

The modelling of ozone concentrations using a Takagi-Sugeno model is discussed in this paper. However, in practice, building a Takagi-Sugeno model is a difficult task. The problems are mainly due to the combinatorial explosion of the complexity of the model as a function of the number of inpute, as well as the difficulty of identifying the premise and consequence parts, which are mutually related. A simplified structure and an algorithm enabling the identification of this structurte and its parameters are proposed. The method is illustrated with atmospheric pollution data to model ozone concentrations in an urban area.     

Flying Together: Modelling Air Mission Teams

The problem of modelling air missions is part of a larger problem—simulating possible war-like scenarios in the air, sea, and on land. In modelling such military systems one is required to model the behaviour of various actors and the resources that are available to them. One aspect of this problem is the modelling of a group of actors as a team and then modelling the coordinated behaviour of such a team to achieve a joint goal.In the domain of air mission modelling the actors are pilots who control aircraft and their behaviour is referred to as tactics. In this paper we present the approach we adopted in modelling teams and team tactics as part of the development of the Smart Whole AiR Mission Model (SWARMM) for the Air Operations Division of the Australian Defence Science and Technology Organization. In our approach teams are composed of sub-teams and adopt organizational structures. Such structures define the responsibilities of the sub-teams towards the mission to be achieved as well as towards the control and coordination of the sub-teams. We also describe how communication is used when adopting a variety of control and coordination strategies and how one could reason about the choice of organizational structures for a given mission and situation.     

Modelling cloud data using an adaptive slicing approach

In reverse engineering, the conventional surface modelling from point cloud data is time-consuming and requires expert modelling skills. One of the innovative modelling methods is to directly slice the point cloud along a direction and generate a layer-based model, which can be used directly for fabrication using rapid prototyping (RP) techniques. However, the main challenge is that the thickness of each layer must be carefully controlled so that each layer will yield the same shape error, which is within the given tolerance bound. In this paper, an adaptive slicing method for modelling point cloud data is presented. It seeks to generate a direct RP model with minimum number of layers based on a given shape error. The method employs an iterative approach to find the maximum allowable thickness for each layer. Issues including multiple loop segmentation in layers, profile curve generation, and data filtering, are discussed. The efficacy of the algorithm is demonstrated by case studies.