中文摘要：

为实现异构经济数据和模型的快速整合，构建了基于面向服务架构（Service Oriented Architecture，SOA）的经济监测与预警系统（SMAFS），设计并实现了基于Web服务的经济计量模型库和异构数据集成平台．SMAFS突破了原有系统的数据效率和模型集成瓶颈，使系统具有高度可扩展性和分布式异构数据的高效采集和整合能力．通过SMAFS原型系统与宏观经济景气监测预警系统（MAFS）的一组对比实验，验证了SMAFS原型系统能显著提高系统运行效率和运行结果的精度．

英文摘要：

Macroeconomic analysis ＆ forecasting system （MAFS） has two bottlenecks in its development and application, i.e. the models＇ update, reuse and system integration, and data update and integration. This paper presented a service-oriented-architecture （SOA） based macroeconomic analysis ＆ forecasting system, named SMAFS to break through those bottlenecks. In SMAFS, all econometric models and data access are encapsulated in the software form of web services, which enable themselves to be re-organized and dynamically integrated for various application purposes. In addition, the SMAFS has the abilities of software re-using and cross-platform. The architecture, functionalities and implementing methods of SMAFS were described. Two case examples comparing SMAFS and conventional desktop-based MAFS were presented, which demonstrates higher effectiveness, accuracy and flexibility provided by SMAFS in data collecting and of processing.