集成的魅力——记罗克韦尔自动化公司控制与信息部技术总监Tony Cachat中国媒体见面会

<本刊讯>2004年11月，罗克韦尔自动化公司控制与信息部(ACIG Automation Control and Information Group)的技术总监Tony Cachat先生来访中国，与罗克韦尔自动化中国研发中心的同事共同探讨技术研发问题，并希望通过此行聆听中国用户对罗克韦尔自动化产品的意见。Tony Cachat为罗克韦尔自动化公司快速发展的“集成架构”系列产品的成功做出了卓越贡献，他此前刚刚被被授予Odo J．Struger自动化奖(Odo J．Struger Automation Award)。

Framework for integration of SOA and Web2.0

To avoid the isolation between the external and the internal information of enterprise information systems, a four-layer integrated framework is proposed on the basis of integrating Web2. 0 and the service- oriented architecture （SOA）, which contains the data layer, the service layer, the presentation layer and the collaboration layer. The presentation layer plays the key role, converging the external information from the collaboration layer to the inside of information system （IS）, and diffusing the internal information from the service layer to public users. This framework can also illustrate how users contribute to producing new services, and how web services are integrated to collaborate with public users.

An agent-based service-oriented integration architecture for chemical process automation

In reality, traditional process control system built upon centralized and hierarchical structures presents a weak response to change and is easy to shut down by single failure. Aiming at these problems, a new agent-based service-oriented integration architecture was proposed for chemical process automation system. Web services were dynamically orchestrated on the internet and agent behaviors were built in them. Data analysis, model, optimization, control, fault diagnosis and so on were capsuled into different web services. Agents were used for service compositions by negotiation. A prototype system of poly(ethylene terephthalate) process automation was used as the case study to demonstrate the validation of the integration.

An extended HLA multilayer federation integration architecture for multidisciplinary collaborative simulation

The development of complex products is essentially concerned with multidisciplinary knowledge. Running on Internet, integration based on muhilayer federation architecture and dynamic reuse of simulation resources are the major difficulties for complex product collaborative design and simulation. Since the traditional Run-Time Infrastructure （RTI） is not good at supporting these new requirements, an extended high level architecture （HLA） multilayer federation integration architecture （MLFIA）, based on the resource management federation （RMF） and its supporting environment based Service-oriented architecture （SOA） and HLA （SOHLA） are proposed, The idea and realization of two key technologies, the dynamic creation of simulation federation based on RMF, TH RTI, an extensible HLA runtime infrastructure （RTI）, used at Internet are emphasized. Finally, an industry case about multiple unit （MU） is given.

Enterprise-level business component identification in business architecture integration

The component-based business architecture integration of military information systems is a popu- lar research topic in the field of military operational research. Identifying enterprise-level business components is an important issue in business architecture integration. Currently used methodologies for business component identification tend to focus on software-level business components, and ignore such enterprise concerns in business architectures as organizations and resources. Moreover, approaches to enterprise-level business component identi- fication have proven laborious. In this study, we propose a novel approach to enterprise-level business component identification by considering overall cohesion, coupling, granularity, maintainability, and reusability. We first define and formulate enterprise-level business components based on the component business model and the Department of Defense Architecture Framework （DoDAF） models. To quantify the indices of business components, we formulate a create, read, update, and delete （CRUD） matrix and use six metrics as criteria. We then formulate business com- ponent identification as a multi：objective optimization problem and solve it by a novel meta-heuristic optimization algorithm called the ＇simulated annealing hybrid genetic algorithm （SHGA）＇. Case studies showed that our approach is more practical and efficient for enterprise-level business component identification than prevalent approaches.