HAZOP Analysis Management System with Dynamic Visual Model Aid
Nan Bin Mad Sahar, Syahril Ardi, Suzuki Kazuhiko, Munesawa Yoshiomi and Minowa Hirotsugu
DOI : 10.3844/ajassp.2010.943.948
American Journal of Applied Sciences
Volume 7, Issue 7
Problem statement: Ensuring safe operability and minimizing risk is the key component to prevent negative impact in all industries dealing with toxic, reactive, flammable and explosive. Hazard and Operability (HAZOP), a preliminary and systematic approach for identifying hazards has been unquestionably successful in reducing incidents by mitigating the consequence of major accident in the industries process facility. However, laborious work, time and cost are the shortcoming in performing and maintaining HAZOP analysis. Many research works over HAZOP automation available yet the traditional approach is still widely used by plant operators as it covers all part and aspect of a specific plant rather than generalizing to fit many plant types. Approach: In this study, we presented web based HAZOP analysis management system to help HAZOP team and related individual to perform revision, tracking and even complete HAZOP analysis without management bureaucracy. Besides depend solely to expert imaginative thinking of scenario using P&ID, We added dynamic visual model to bring the system user a different view of consequent and subsequent to an accident and can be analyzed in three dimensional effects. This prevented miss looks due to 'paper based' view. Similarity matrix is responsible ensuring accuracy in analysis tracking. Reactor section in a hydrodesulphurization process was used as the case study to illustrate proposed system performance. Results: Developed system in average manages to reduce more than half the time required in performing HAZOP analysis compares to traditional method. Conclusion: This system expected to be the base engine for Virtual Reality simulator in analyzing accident caused by human factor
© 2010 Nan Bin Mad Sahar, Syahril Ardi, Suzuki Kazuhiko, Munesawa Yoshiomi and Minowa Hirotsugu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.