Distributed computing is a field of computer science that studies distributed systems. With the increasing computing capacity of computers it is widely used to solve large problems. Monitoring system is one of the key...Distributed computing is a field of computer science that studies distributed systems. With the increasing computing capacity of computers it is widely used to solve large problems. Monitoring system is one of the key components in distributed computing. Although there have been varieties of monitoring systems developed by different organizations, it is still a great challenge to monitor a heterogeneous distributed environment in a unified and transparent way. In this paper, we present a unified monitoring framework for distributed environment (UMFDE) with heterogeneous monitoring systems, and then propose a comprehensive method based on the Enterprise Service Bus (ESB) to integrate the monitoring systems in the environment as a unified monitoring system. A representative case study is given to show the feasibility of this framework.展开更多
Initiated three decades ago,integrated design of controllers and fault detectors has continuously attracted research attention.The recent development of the unified control and detection framework with an observer-bas...Initiated three decades ago,integrated design of controllers and fault detectors has continuously attracted research attention.The recent development of the unified control and detection framework with an observer-based residual generator in its core gives a more general form of the previous works.Its applications to residual centred modelling of uncertain control systems,fault detection in feedback control systems with uncertainties,fault-tolerant control(FTC)as well as control performance degradation monitoring,detection and recovery are introduced.In conclusion,some future perspectives are proposed.展开更多
针对我国碳排放工业类型多、碳排放监测数据源多样的问题,设计了一个基于多源异构数据的能源电力碳排放监测诊断服务系统。系统由非分光红外探测技术、改进型微分粒子群算法(particle swarm optimization,PSO)、云计算、对象链接与嵌入...针对我国碳排放工业类型多、碳排放监测数据源多样的问题,设计了一个基于多源异构数据的能源电力碳排放监测诊断服务系统。系统由非分光红外探测技术、改进型微分粒子群算法(particle swarm optimization,PSO)、云计算、对象链接与嵌入统一架构(OLE for process control-unified architecture,OPC-UA)技术等构成。通过改进PSO算法来提高收敛速度,进一步提高数据监测和处理效率。采取OPC-UA技术实现对碳排放多源异构数据进行统一传输和反馈,极大地缓解了系统主机的计算压力。试验结果表明,经系统技术核算的数据误差率在可接受范围内,为其他技术研究奠定基础。展开更多
文摘Distributed computing is a field of computer science that studies distributed systems. With the increasing computing capacity of computers it is widely used to solve large problems. Monitoring system is one of the key components in distributed computing. Although there have been varieties of monitoring systems developed by different organizations, it is still a great challenge to monitor a heterogeneous distributed environment in a unified and transparent way. In this paper, we present a unified monitoring framework for distributed environment (UMFDE) with heterogeneous monitoring systems, and then propose a comprehensive method based on the Enterprise Service Bus (ESB) to integrate the monitoring systems in the environment as a unified monitoring system. A representative case study is given to show the feasibility of this framework.
基金This work was supported by the National Natural Science Foundation of China(62020106003,62073029)the Beijing Natural Science Foundation(4202045)the Fundamental Research Funds for the Central Universities(FRF-TP-20-012A3).
文摘Initiated three decades ago,integrated design of controllers and fault detectors has continuously attracted research attention.The recent development of the unified control and detection framework with an observer-based residual generator in its core gives a more general form of the previous works.Its applications to residual centred modelling of uncertain control systems,fault detection in feedback control systems with uncertainties,fault-tolerant control(FTC)as well as control performance degradation monitoring,detection and recovery are introduced.In conclusion,some future perspectives are proposed.
文摘针对我国碳排放工业类型多、碳排放监测数据源多样的问题,设计了一个基于多源异构数据的能源电力碳排放监测诊断服务系统。系统由非分光红外探测技术、改进型微分粒子群算法(particle swarm optimization,PSO)、云计算、对象链接与嵌入统一架构(OLE for process control-unified architecture,OPC-UA)技术等构成。通过改进PSO算法来提高收敛速度,进一步提高数据监测和处理效率。采取OPC-UA技术实现对碳排放多源异构数据进行统一传输和反馈,极大地缓解了系统主机的计算压力。试验结果表明,经系统技术核算的数据误差率在可接受范围内,为其他技术研究奠定基础。
