Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study

In this research, the application of Artificial Intelligence and knowledge engineering, automation of equipment arrangement design, automation of piping and support design, using machine learning to automate the stress analysis, and finally, using information modelling to shift ‘field weld locating’ activity from the construction to the design phase were investigated. The results of integrating these methods on case studies, to increase the safety in the lifecycle of process plants were analysed and discussed

Knowledge Representation in Process Engineering

Process engineering is surely no pure configuration application, but modeling the structure of chemical processes confronts us, in the field of knowledge representation, with similar problems. First, the tasks we are concerned with in process engineering are described as well as how knowledge representation systems can support these tasks. Roughly speaking, this support consists in helping the user in the handling of an object-oriented database. Then it is argued why terminological knowledge representation systems are suitable tools for giving this support and how this support can be realized by these systems. In the last section, we describe some problems that arise because this task asks for a knowledge representation system with special expressive power. Process engineering Process engineering is concerned with the design and operation of chemical processes that take place in huge chemical plants. This engineering task includes activities like deciding on an appropriate flowsheet ..

Knowledge Representation in Process Engineering

In process engineering, as in many other application domains, the domain specific knowledge is far too complex to be described entirely using description logics. Hence this knowledge is often stored using an object-oriented system, which, because of its high expressiveness, provides only weak inference services. In particular, the process engineers at RWTH Aachen have developed a frame-like language for describing process models. In this paper, we investigate how the powerful inference services provided by a DL system can support the users of this frame-based system. In addition, we consider extensions of description languages that are necessary to represent the relevant process engineering knowledge. The application domain Process engineering is concerned with the design and operation of chemical processes that take place in large chemical plants. This engineering task includes activities like deciding on an appropriate flowsheet structure (e.g. configuration of reaction and separat..