In this work we introduce a novel analysis method for effective knowledge generation, representation and exploitation to successfully improve a semi-automatic blended hazard identification (BLHAZID) analysis. The underlying conceptual basis is a Functional Systems Framework (FSF), which considers the importance and interaction amongst system components of plant, procedures and people. This framework informs the HAZID development.
Of key importance is an automatic data extraction method that extracts information about the process plant from intelligent Piping & Instrumentation Diagrams (P&IDs). This method translates complex process descriptions into the BLHAZID framework for subsequent analysis.
Based on engineering insights, a suitable system decomposition of the P&ID generates a functional understanding of the process. It effectively generates "the designer's intention" of the system. This provides vital information during the BLHAZID analysis.
Since our efforts are aimed at developing advanced diagnostic systems, a much richer description of the hazard and operational issues in the process requires improved component descriptions. To address this, we have developed an extension of the functional description of the system through introducing the idea of component capabilities. Based on the nature of the properties of the process equipment, physical or physico-chemical capabilities are distinguished. These capabilities serve as important characterising variables within the BLHAZID method. This new concept provides a powerful approach to knowledge generation, especially for elucidating causal relationships in faulty modes.
This new approach has been developed and tested with two major Australian companies, and the results of these case studies will be presented.