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Model‐based approach to automated hazard identification of chemical plants
Author(s) -
Catino Catherine A.,
Ungar Lyle H.
Publication year - 1995
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690410110
Subject(s) - identifier , hazard , computer science , identification (biology) , process (computing) , hazard analysis , overpressure , fault (geology) , reliability engineering , control engineering , engineering , programming language , chemistry , botany , physics , organic chemistry , biology , geology , seismology , thermodynamics
Abstract A prototype hazard identification system, qualitative hazard identifier (QHI), works by exhaustively positing possible faults, automatically building qualitative process models, simulating them, and checking for hazards. QHI matches a library of general faults such as leaks, broken filters, blocked pipes, and controller failures against the physical description of the plant to determine all specific instances of faults that can occur in the plant. Faults may perturb variables in the original design model or may require building a new model. Fault models are automatically generated using the qualitative process compiler and simulated using QSIM. Hazards including overpressure, overtemperature, controller saturation, and explosion are identified in the reactor section of a nitric acid plant using QHI.