To provide efficient monitoring of web service-based business processes, a web service proxy （WS- proxy） is developed to monitor business activities by monitoring the enactment of services. WS-proxy is deployed as a...To provide efficient monitoring of web service-based business processes, a web service proxy （WS- proxy） is developed to monitor business activities by monitoring the enactment of services. WS-proxy is deployed as an intermediary between internal business processes and external service providers, and it provides a single point of service access with the functions of message routing and content inspection. By using an XPath engine named WS-filter, performance indicators can be generated from service messages for assessing business performance. In the experiments, the feasibility of WS-proxy is verified and it achieves good performance in the monitoring work. The latency introduced by WS-proxy is only about 15% of the overall latency while extracting performance indicators just consumes less than one third of the processing time.展开更多
In wastewater treatment process(WWTP), the accurate and real-time monitoring values of key variables are crucial for the operational strategies. However, most of the existing methods have difficulty in obtaining the r...In wastewater treatment process(WWTP), the accurate and real-time monitoring values of key variables are crucial for the operational strategies. However, most of the existing methods have difficulty in obtaining the real-time values of some key variables in the process. In order to handle this issue, a data-driven intelligent monitoring system, using the soft sensor technique and data distribution service, is developed to monitor the concentrations of effluent total phosphorous(TP) and ammonia nitrogen(NH_4-N). In this intelligent monitoring system, a fuzzy neural network(FNN) is applied for designing the soft sensor model, and a principal component analysis(PCA) method is used to select the input variables of the soft sensor model. Moreover, data transfer software is exploited to insert the soft sensor technique to the supervisory control and data acquisition(SCADA) system. Finally, this proposed intelligent monitoring system is tested in several real plants to demonstrate the reliability and effectiveness of the monitoring performance.展开更多
针对传统远程监控系统难于集成问题,提出了一种基于Web Service的远程监控系统结构。文中讨论了 Web Service技术及基于Web Service技术的企业应用集成结构、数据采集、服务部署、发布和调用的方法。远程监控系统采用了安全审查、权限...针对传统远程监控系统难于集成问题,提出了一种基于Web Service的远程监控系统结构。文中讨论了 Web Service技术及基于Web Service技术的企业应用集成结构、数据采集、服务部署、发布和调用的方法。远程监控系统采用了安全审查、权限管理、冲突避免、日志管理等安全措施,对防火墙是友好的,系统易于扩展,不受平台、语言和物理位置的限制。系统实际运行效果表明,这种远程监控方式有其独特的优点。展开更多
研究了Web Service,XML,SOAP,WSDL,UDDI等相关网络技术,以及基于XML Web Service服务架构技术在过程监控领域中的应用。由于采用了web Service技术构建实时工业过程监控服务器,实现了监控平台跨越应用系统的对象体系、运行平台、开发语...研究了Web Service,XML,SOAP,WSDL,UDDI等相关网络技术,以及基于XML Web Service服务架构技术在过程监控领域中的应用。由于采用了web Service技术构建实时工业过程监控服务器,实现了监控平台跨越应用系统的对象体系、运行平台、开发语言等界限,以服务的形式封装应用并对外发布,提供用户或其他平台调用,从而形成了基于Web的服务的监控共享平台。以实际例子介绍了Web Service应用的具体方案。展开更多
基金The National Natural Science Foundation of China(No60473078)
文摘To provide efficient monitoring of web service-based business processes, a web service proxy （WS- proxy） is developed to monitor business activities by monitoring the enactment of services. WS-proxy is deployed as an intermediary between internal business processes and external service providers, and it provides a single point of service access with the functions of message routing and content inspection. By using an XPath engine named WS-filter, performance indicators can be generated from service messages for assessing business performance. In the experiments, the feasibility of WS-proxy is verified and it achieves good performance in the monitoring work. The latency introduced by WS-proxy is only about 15% of the overall latency while extracting performance indicators just consumes less than one third of the processing time.
基金Supported by the National Natural Science Foundation of China(61622301,61533002)Beijing Natural Science Foundation(4172005)Major National Science and Technology Project(2017ZX07104)
文摘In wastewater treatment process(WWTP), the accurate and real-time monitoring values of key variables are crucial for the operational strategies. However, most of the existing methods have difficulty in obtaining the real-time values of some key variables in the process. In order to handle this issue, a data-driven intelligent monitoring system, using the soft sensor technique and data distribution service, is developed to monitor the concentrations of effluent total phosphorous(TP) and ammonia nitrogen(NH_4-N). In this intelligent monitoring system, a fuzzy neural network(FNN) is applied for designing the soft sensor model, and a principal component analysis(PCA) method is used to select the input variables of the soft sensor model. Moreover, data transfer software is exploited to insert the soft sensor technique to the supervisory control and data acquisition(SCADA) system. Finally, this proposed intelligent monitoring system is tested in several real plants to demonstrate the reliability and effectiveness of the monitoring performance.
文摘针对传统远程监控系统难于集成问题,提出了一种基于Web Service的远程监控系统结构。文中讨论了 Web Service技术及基于Web Service技术的企业应用集成结构、数据采集、服务部署、发布和调用的方法。远程监控系统采用了安全审查、权限管理、冲突避免、日志管理等安全措施,对防火墙是友好的,系统易于扩展,不受平台、语言和物理位置的限制。系统实际运行效果表明,这种远程监控方式有其独特的优点。
