Model interoperability in building information modelling

The exchange of design models in the design and construction industry is evolving away from 2-dimensional computer-aided design (CAD) and paper towards semantically-rich 3-dimensional digital models. This approach, known as Building Information Modelling (BIM), is anticipated to become the primary means of information exchange between the various parties involved in construction projects. From a technical perspective, the domain represents an interesting study in model-based interoperability, since the models are large and complex, and the industry is one in which collaboration is a vital part of business. In this paper, we present our experiences with issues of model-based interoperability in exchanging building information models between various tools, and in implementing tools which consume BIM models, particularly using the industry standard IFC data modelling format. We report on the successes and challenges in these endeavours, as the industry endeavours to move further towards fully digitised information exchange.     

基于IFC 标准的结构分析模型构件偏心问题研究

数据标准是解决信息共享与交换问题的基础。IFC 作为buildingSMART 联盟发布 的建筑信息模型数据交换的国际标准,用来实现建筑全生命周期中不同专业、不同阶段各软件 之间的协同工作。目前在工程建设行业多专业的配合过程中,建筑与结构专业的信息交互最为 迫切。在结构专业领域,构件偏心问题对结构模型的分析有着重要影响。基于建筑信息模型数 据共享与交换的IFC 标准,针对结构分析软件之间的模型数据转换问题,通过以SGF 结构通用 文件格式为基础的数据转换平台,提取偏心构件的数据表达并设计数据转换算法,运用C++编 程语言,实现结构构件偏心数据的IFC 表达。     

Semantic interoperability in building design: Methods and tools

Semantic interoperability is a crucial element to make building information models understandable and model data sharable across multiple design disciplines and heterogeneous computer systems. This paper presents a new approach and its software implementation for the development of building design objects with semantics of interoperable information to support semantic interoperability in building designs. The novelty of the approach includes its incorporation of building design domain ontology, object-based CAD information modeling, and interoperability standard to make building information models and model data semantically interoperable. A set of methods are proposed to address the issues of object-based building information representation compliant with the Industrial Foundation Classes (IFC); extension of IFC models with the supplementary information; and semantic annotation of the interoperable and extensible information sets. The prototype implementation of these methods provides a set of Web-enabled software tools for effectively generating, managing, and reusing the semantically interoperable building objects in design applications of architectural CAD, structural analysis, and building code conformance checking.     

Conformance checking of PMI representation in CAD model STEP data exchange files

Recommended practices supplement data exchange standards by providing common implementation guidance associated with specific requirements. ISO 10303 (STEP) product data exchange files that conform to recommended practices ensure interoperability between computer-aided design (CAD) systems and with downstream applications such as manufacturing and inspection. Correct implementation of product and manufacturing information (PMI)–annotations associated with a CAD model’s edges and faces such as geometric tolerances, dimensional tolerances, and datum features–in CAD authoring systems and translators is essential for interoperability. This paper discusses an approach implemented in a software tool for checking the conformance of STEP files to the recommended practice for PMI representation.     

Modeling and Visualization for a Production Planning Decision Support System

This paper describes the process of decision support systems development for the optimization of the aggregate production planning problem for an important manufacturer of applicances in Chile. This work is part of a more general research effort, whose purpose is to build a generator of software applications for logistic problems in industry, based on optimization models. We take advantage of powerful tools and approaches for the modeling stage, and for building systems with user friendly interfaces and good data management capabilities. The production planning problem is formulated as a mixed integer programming model, which is solved using CPLEX. The system is currently being used by the company for their decision processes in manufacturing.     

Improving construction industry process interoperability with Industry Foundation Processes (IFP)

With massive amounts of information generated during the life cycle of large-scale construction projects, interoperability among project stakeholders’ information systems is a requirement for effective and timely communication, collaboration, and information exchange, and ultimately for project success. While data interoperability has been substantially improved by initiatives such as IFC (Industry Foundation Classes) standardizing construction industry data, emphasis on process interoperability which facilitates timely and effective exchange of information via interaction of workflow processes is in its early stage. By conforming to a reference model such as IFP (Industry Foundation Processes), project stakeholders can communicate and collaborate using workflow processes while abstracting the information exchange to essential items to preserve their privacy. This paper explores interoperability in the AEC/FM domain, reviews the main components of the IFP system, presents two IFP interoperability models, and discusses their relationships with the IFP system. The models are demonstrated with specific examples and implemented with a process customization framework based on workflow inheritance rules. Interoperability models that conform to the IFP system not only allow seamless information exchange but can also yield active interaction and communication among stakeholders.     

Physical simulation: The use of scaled-down fully functional components to analyze and design automated production systems

This paper presents and discusses the physical simulation methodology currently employed in the Industrial Automation Laboratory in the Department of Industrial Engineering at Texas A&M University. Physical simulation is the study of complex automated manufacturing and material handling systems through the use of scaled-down system replicas controlled by mini and microcomputers using full-sized software. The physical simulation methodology is the design, construction, operation, and study of such systems in a laboratory environment. The methodology consists of identifying basic automated system components; constructing scaled-down, functionally-equivalent generic models of the components with mechanical breadboarding kits; and then using these generic models to construct fully functional scaled-down systems. Thus, it allows us to evaluate the dynamic physical interactions using the models to confirm design decisions and to develop and test system software in parallel with the construction of the full-sized system. This approach should allow a cost reduction in the design cycle for complex automation because (1) through it we can identify design errors early, and (2) it provides a mechanism for the parallel development of both the computer hardware/software control system and the system's machinery. The methodology is currently under development in the Industrial Automation Laboratory in the Department of Industrial Engineering at Texas A&M University.     

ABC:基于体系结构、面向构件的软件开发方法

基于构件的软件复用和开发被认为是提高软件开发效率和质量的有效途径,并在分布式系统中得到了广泛的应用.但是,目前的软件构件技术主要还是着眼于构件实现模型和运行时互操作,缺乏一套系统的方法以指导整个开发过程.近年来,以构件为基本单元的软件体系结构研究取得了较大的发展.它通过对软件系统整体结构和特性的描述,为面向构件的软件开发提供了一个自顶向下的途径.介绍了一种以软件体系结构为指导,面向构件的软件开发方法,试图为基于构件的软件复用提供一种有效的解决方案.这种方法主要是将软件体系结构引入到软件开发的各个阶段,作为系统开发的蓝图,利用工具支持的自动转换机制缩小从高层设计到实现的距离,而后在构件平台的运行支持下实现自动的系统组装生成.     

Towards a sustainable interoperability in networked enterprise information systems: Trends of knowledge and model-driven technology

In a turbulent world, global competition and the uncertainty of markets have led organizations and technology to evolve exponentially, surpassing the most imaginary scenarios predicted at the beginning of the digital manufacturing era, in the 1980s. Business paradigms have changed from a standalone vision into complex and collaborative ecosystems where enterprises break down organizational barriers to improve synergies with others and become more competitive. In this context, paired with networking and enterprise integration, enterprise information systems (EIS) interoperability gained utmost importance, ensuring an increasing productivity and efficiency thanks to a promise of more automated information exchange in networked enterprises scenarios. However, EIS are also becoming more dynamic. Interfaces that are valid today are outdated tomorrow, thus static interoperability enablers and communication software services are no longer the solution for the future. This paper is focused on the challenge of sustaining networked EIS interoperability, and takes up input from solid research initiatives in the areas of knowledge management and model driven development, to propose and discuss several research strategies and technological trends towards next EIS generation.     

Automatic design and planning of scaffolding systems using building information modeling

Considering their significant impact on construction projects, scaffolding as part of the temporary facilities category in construction must be thoroughly designed, planned, procured, and managed. The current practices in planning and managing scaffolding though is often manual and reactive, especially when a construction project is already underway. Widespread results are code compliance problems, inefficiency, and waste of procuring and managing material for scaffolding systems. We developed a rule-based system that automatically plans scaffolding systems for pro-active management in Building Information Modeling (BIM). The scope of the presented work is limited to traditional pipe and board scaffolding systems. A rule was prepared based on the current practice of planning and installing scaffolding systems. Our computational algorithms automatically recognize geometric and non-geometric conditions in building models and produce a scaffolding system design which a practitioner can use in the field. We implemented our automated scaffolding system for a commercially-available BIM software and tested it in a case study project. The system thoroughly identified the locations in need of scaffolding and generated the corresponding scaffolding design in BIM. Further results show, the proposed approach successfully generated a scaffolding system-loaded BIM model that can be utilized in communication, billing of materials, scheduling simulation, and as a benchmark for accurate field installation and performance measurement.     

Novel strategies for global manufacturing systems interoperability

This paper reviews some of the most recently reported research into novel strategies for global manufacturing systems interoperability. Such research can be categorised as addressing four broad topic areas: the sensing manufacturing enterprise; semantics and knowledge management in manufacturing; service orientation and the need for negotiation; and business interoperability. Thus we identify a spectrum of research from the management of hardware and virtual sensing devices, through the semantic interpretation of the data and information generated by these, and its utilisation to support the collaborative manufacturing network lifecycle through service oriented software, and ultimately the provision of effective business interoperability. This study includes conceptual, theoretical, empirical and technological contributions, illustrated by real examples and demonstrating the novelty in comparison with previously reported results. The paper concludes elaborating final considerations on novel strategies for global manufacturing systems interoperability.     

Preliminary design and manufacturing planning integration using web-based intelligent agents

Software agents have been increasingly used in the product and process development in industry over the past years due to the rapid evolvement of the Internet technology. This paper describes agents for the integration of conceptual design and process planning. Agents provide mechanisms to interact with each other. This mechanism is important since both of those processes involve negotiations for optimization. A set of design and planning software agents has been developed. These agents are used in a computer-based collaborative environment, called a multi-agent platform. The main purpose of developing such a platform is to support product preliminary design, optimize product form and structure, and reduce the manufacturing cost in the early design stage. The agents on the platform have access to a knowledge base that contains design and planning rules. These rules are derived from an analysis of design factors that influence process and resource planning, such as product material, form, shape complexity, features, dimension, tolerance, surface condition, production volume, and production rate. These rules are used by process planning agents to provide process planners with information regarding selecting preliminary manufacturing processes, determining manufacturing resources, and constructing feedback information to product designers. Additionally, the agents communicate with WEB servers, and they are accessible by users through Internet browsers. During performing design and planning tasks, agents access the data pertinent to design and manufacturing processes by the programming interfaces of existing computer-aided design (CAD) and manufacturing system. The agents are supported by a developed prototype agent platform. The agents and the platform enable the information exchange among agents, based on a previously developed integrated design and manufacturing process object model.     

基于IFC 与gbXML 标准的建筑信息模型与绿色建筑分析软件互操作性测试与评估

绿色建筑和建筑节能是建筑行业可持续发展的重要因素,然而建筑信息模型(BIM) 软件种类繁多、数据标准各异、软件之间的数据传递经常丢失信息。为解决不同软件之间的“信 息孤岛”问题和互操作性问题,分析了基于工业基础类标准(IFC)和gbXML 标准的绿色建筑模型 的结构框架,选取BIM 建模软件ArchiCAD 和绿色建筑性能分析软件Ecotec,对基于IFC 和 gbXML 标准的软件之间的互操作性进行了测试和评估,确定了建筑信息模型在交互过程中的问 题。针对相关问题本文提出了减少IFC 标准中的信息冗余、提高IFC 标准领域层对绿色建筑信 息的支持、提高资源层对相关信息定义的针对性等建议。     

Object analysis patterns for embedded systems

Some of the most challenging tasks in building a software system are capturing, refining, and analyzing requirements. How well these tasks are performed significantly impacts the quality of the developed software system. The difficulty of these tasks is greatly exacerbated for the software of embedded systems as these systems are commonly used for critical applications, have to operate reliably for long periods of time, and usually have a high degree of complexity. Current embedded systems software development practice, however, often deals with the (requirements) analysis phase in a superficial manner, instead emphasizing design and implementation. This research investigates how an approach similar to the well-known design patterns, termed object analysis patterns, can be applied in the analysis phase of embedded systems development, prior to design and coding. Specifically, our research explores how object-oriented modeling notations, such as the Unified Modeling Language (UML), can be used to represent structural and behavioral information as part of commonly occurring object analysis patterns. This work also investigates how UML-based conceptual models of embedded systems, based on the diagram templates in the object analysis patterns, can be automatically analyzed using the Spin model checker for adherence to properties specified in linear-time temporal logic (LTL) using a previously developed UML formalization framework. We have applied these patterns to several embedded systems applications obtained from the automotive industry. This paper describes one of our case studies and illustrates how our approach facilitates the construction of UML-based conceptual models of embedded systems and the analysis of these models for adherence to functional requirements.     

A toolbox for the design,planning and operation of manufacturing networks in a mass customisation environment

The task of design, planning and operation of manufacturing networks is becoming more and more challenging for companies, as globalisation, mass customisation and the turbulent economic landscape create demand volatility, uncertainties and high complexity. In this context, this paper investigates the performance of decentralised manufacturing networks through a set of methods developed into a software framework in a toolbox approach. The Tabu Search and Simulated Annealing metaheuristic methods are used together with an Artificial Intelligence method, called Intelligent Search Algorithm. A multi-criteria decision making procedure is carried out for the evaluation of the quality of alternative manufacturing network configurations using multiple conflicting criteria including dynamic complexity, reliability, cost, time, quality and environmental footprint. A comparison of the performance of each method based on the quality of the solutions that it provided is carried out. The statistical design of experiments robust engineering technique is used for the calibration of the adjustable parameters of the methods. Moreover, the impact of demand fluctuation to the operational performance of the alternative networks, expressed thorough a dynamic complexity indicator, is investigated through simulation. The developed framework is validated through a real life case, with data coming from the CNC machine building industry.     

Knowledge framework for intelligent manufacturing systems

Nowadays, competition is experienced not only among companies but among global supply chains and business networks. There is a demand for intelligent world-class solutions capable of reinforcing partnerships and collaborations with an improved cross-cultural understanding. However due to the proliferation of terminology, organizations from similar business environments have trouble cooperating, and are experiencing difficulties exchanging electronically vital information, such as product and manufacturing data, even when using international standards. To address similar interoperability problems, the Intelligent manufacturing systems program () is providing an opportunity to develop industry-led R&D initiatives, building common semantics and integrated solutions. The SMART-fm project was one of those initiatives. It led to the development of the international standard for product data representation and exchange in the furniture sector (ISO 10303-236) and identified the challenge of semantic interoperability which is today a major challenge in modern enterprise integration. This paper presents a knowledge framework to address that challenge and make interoperable intelligent manufacturing systems a reality. It proposes to use semantically enriched international product data standards, and knowledge representation elements as a basis for achieving seamless enterprise interoperability.     

Assessment of interoperability in cloud manufacturing

Cloud manufacturing is defined as a resource sharing paradigm that provides on-demand access to a pool of manufacturing resources and capabilities aimed at utilising geographically dispersed manufacturing resources in a service-oriented manner. These services are deployed via the Industrial Internet of Things (IIoT) and its underlying IT infrastructure, architecture models, as well as data and information exchange protocols and standards. In this context, interoperability has been identified to be a key enabler for implementing such vertically or horizontally integrated cyber-physical systems for production engineering. Adopting an interoperability framework for cloud manufacturing systems enables an efficient deployment of manufacturing resources and capabilities across the production engineering life-cycle. In this paper, the authors investigate interoperability in the context of cloud manufacturing to identify the key parameters that determine whether or not a change-over from traditional cloud manufacturing to interoperable cloud manufacturing is financially viable for a given scenario of service providers and manufacturing orders. The results obtained confirm that interoperable cloud manufacturing systems cannot be considered a one-size-fits-all option. Rather, its applicability depends on a number of driving parameters that need to be analysed and interpreted to determine whether or not it provides a financially viable alternative to cloud manufacturing without an overarching interoperability framework.     

A machining process planning activity model for systems integration

A key issue of integrating process planning systems with design systems and production planning systems is how to overcome barriers in data exchange and sharing amongst software systems. A machining process planning activity model was developed to address some of the barriers. This model represents functional components and data requirements in process planning systems. The purpose of the model is to create the context in which data requirements and data flow for numerically controlled machining process planning are defined. Furthermore, the model was developed as a unification of many previously developed process planning activity models.     

A cost-driven process planning method for hybrid additive–subtractive remanufacturing

Hybrid manufacturing combines additive manufacturing’s advantages of building complex geometries and subtractive manufacturing’s benefits of dimensional precision and surface quality. This technology shows great potential to support repairing and remanufacturing processes. Hybrid manufacturing is used to repair end-of-life parts or remanufacture them to new features and functionalities. However, process planning for hybrid remanufacturing is still a challenging research topic. This is because current methods require extensive human intervention for feature recognition and knowledge interpretation, and the quality of the derived process plans are hard to quantify. To fill this gap, a cost-driven process planning method for hybrid additive–subtractive remanufacturing is proposed in this paper. An automated additive–subtractive feature extraction method is developed and the process planning task is formulated into a cost-minimization optimization problem to guarantee a high-quality solution. Specifically, an implicit level-set function-based feature extraction method is proposed. Precedence constraints and cost models are also formulated to construct the hybrid process planning task as a mixed-integer programming model. Numerical examples demonstrate the efficacy of the proposed method.