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Digraph-based causal models have been widely used to model the cause and effect behavior of processsystems. Signed digraphs (SDG) capture the direction of the effect. It should be mentioned that there are loops inSDG generated from chemical process. From the point of the inherent operability, the worst unsafe factor is theSDG having positive loops that means any disturbance occurring within the loop will propagate through the nodesone by one and are amplified gradually, so the system may lose control, which may lead to an accident. So findingthe positive loops in a SDG and treating these unsafe factors in a proper manner can improve the inherent safety ofa chemical process. This article proposed a method that can detect the above-mentioned unsafe factors in the proc-ess conceptual design stage automatically through the analysis of the SDG generated from the chemical process. Acase study is illustrated to show the working of the algorithm, and then a complicated case from industry is studiedto depict the effectiveness of the proposed algorithm.
Digraph-based causal models have been widely used to model the cause and effect behavior of processsystems. Signed digraphs (SDG) capture the direction of the effect. It should be said there are loops in SDG generated from chemical process. From the point of the inherent operability, the worst unsafe factor is theSDG having positive loops that means any disturbance occurring within the loop will propagate through the nodesone by one and are amplified gradually, so the system may lose control, which may lead to an accident. in a SDG and managing these unsafe factors in a proper manner can improve the inherent safety of a chemical process. This article proposed a method that can detect the above-mentioned unsafe factors in the proc-ess conceptual design stage automatically through the analysis of the SDG generated from the chemical process. Acase study is illustrated to show the working of the algorithm, and then a complicated case from industry is st udiedto depict the effectiveness of the proposed algorithm.