To aid human experts in conducting HAZOP analysis in a more thorough and systematic way, PHASuite (Process Hazard Analysis Suite) has been developed in this work. The knowledge engineering framework is presented in the first part of the two-part paper. Based on the proposed framework, a powerful software infrastructure is designed, and PHASuite is constructed.

As discussed in Part I, the underlying knowledge engineering framework is complicated and consists of several major components. A good design is crucial to the success of PHASuite. Figure 1 shows the major components and their interactions in PHASuite. The bottom layer is the knowledge base, which contains operation related and safety related knowledge. The object layer includes (1) objects related to knowledge, such as unit procedure, operation, safety model for operation and equipment, which are instantiated from the knowledge base through DAO or ODBC; and (2) objects related to process information, such as equipment, chemistry and material, which can be instantiated from the information directly imported from other software systems using the information sharing scheme based on ontology. Operating procedure synthesis engine uses the process information and operation knowledge to generate operating procedures, which are then used by the process safety analysis engine to generate HAZOP results. All the results are stored in results database. User can then review the operating procedure results through operating procedures viewers and safety analysis results through various safety results management facilities. The results can also be shared by other software systems using appropriate information sharing schemes. Knowledge builder is a knowledge acquisition and management facility for modifying the knowledge base.

To successfully build PHASuite, best practices of software development have been followed. General concepts of these methodologies as well as their application in developing PHASuite are discussed in the next section. Result management provides the interface for human experts to review and access the results generated by PHASuite. Design and implementation details of this component are discussed in the Results Management section. An industrial pharmaceutical process is introduced and used as a case study to illustrate the applicability and procedure of using PHASuite for automated HAZOP analysis.

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