抄録
HAZOP (Hazard and Operability Studies) is one of the safety analysis techniques most widely used in the process industries. Typically, in a HAZOP studies a team of specialists examines the P&IDs of the plant apply a series of guidewords to every pipeline, identify possible hazardous consequences and propose preventive strategies. A number of tools are available in the market to support the documentation of the HAZOP sessions. However, the information stored in these tools is in the form of textual natural language descriptions that limit computer-based extraction of knowledge for the reuse of the HAZOP analyses in other designs or during plant operation. To overcome the limitations of text-based descriptions, a HAZOP ontology has been proposed that provides a basic set of standard concepts and terms The development of the ontology uses an upper ontology based on ISO-15926, that define general-purpose terms and act as a foundation for more specific domains. The ontology is developed so that engineers can build new concepts out from the basic set of concepts. This paper evaluates the proposed ontology by means of use cases that measure the performance in finding relevant information used and produced during the safety analyses. In particular, the extraction of knowledge is performed using JTP (An object oriented Modular Reasoning System) that is used for querying the ontology.
