A functional systems approach to the development of improved hazard identification for advanced diagnostic systems

Abstract

A novel formalism based on functional systems concepts is adopted in this work as an integrated approach to better address the issue of abnormal condition management (ACM). The formalism specifically considers the interconnected components of process plant, people and procedures. Components possess specific capabilities which being linked into a structure delivers functionality to meet stated system goals. This provides a firm theoretical basis for developing blended hazard identification (HAZID) methods. These facilitate better approaches to ACM. Formal HAZID language developments captured in system ontologies provides structured outcomes from these new methods. This generates reusable knowledge bases (KBs) for subsequent inferencing and development of semi-automated diagnostic systems. These KBs help in the design of multiagent systems and the development of ecological interfaces for process operators. Concepts and methods are illustrated via a preliminary, simple case study.