通过介绍OPC技术,结合当前OPC(OLE for Process Control,用于过程控制的对象链接和嵌入)快速发展的需要,在研究.NET框架和COM的关系后,给出了一个.NET框架下开发进程外OPC数据存取服务器框架的设计方案,并介绍了实现的主要步骤和关键技...通过介绍OPC技术,结合当前OPC(OLE for Process Control,用于过程控制的对象链接和嵌入)快速发展的需要,在研究.NET框架和COM的关系后,给出了一个.NET框架下开发进程外OPC数据存取服务器框架的设计方案,并介绍了实现的主要步骤和关键技术,以及具体的实际应用案例,对OPC开发人员有一定的借鉴意义。展开更多
The command and control(C2) is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approac...The command and control(C2) is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approach,Bayesian networks(BNs) provide a framework in which a decision is made by combining the experts' knowledge and the specific data.In addition,an expert system represented by human cognitive framework is adopted to express the real-time decision-making process of the decision maker.The combination of the Bayesian decision support and human cognitive framework in the C2 of a specific application field is modeled and executed by colored Petri nets(CPNs),and the consequences of execution manifest such combination can perfectly present the decision-making process in C2.展开更多
摘要通过介绍OPC技术,结合当前OPC(OLE for Process Control,用于过程控制的对象链接和嵌入)快速发展的需要,在研究.NET框架和COM的关系后,给出了一个.NET框架下开发进程外OPC数据存取服务器框架的设计方案,并介绍了实现的主要步骤和关键技术,以及具体的实际应用案例,对OPC开发人员有一定的借鉴意义。
基金supported by the National Natural Science Foundation of China (60874068)
摘要The command and control(C2) is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approach,Bayesian networks(BNs) provide a framework in which a decision is made by combining the experts' knowledge and the specific data.In addition,an expert system represented by human cognitive framework is adopted to express the real-time decision-making process of the decision maker.The combination of the Bayesian decision support and human cognitive framework in the C2 of a specific application field is modeled and executed by colored Petri nets(CPNs),and the consequences of execution manifest such combination can perfectly present the decision-making process in C2.