Abstract
In recent years, Chinese-produced bulk chemical products have consistently ranked among the world’s leading suppliers. The scale of individual petrochemical plants and chemical parks has grown significantly, resulting in increased complexity that can contribute to higher levels of uncertainty surrounding potential losses. MA (major accident) indicators can provide a comprehensive assessment of a plant’s safety performance. This study focuses on three primary objectives: Firstly, utilizing process safety management software powered by Industrial Internet technology, we develop MA indicators. Secondly, applying the Systems-Theoretic Accident Model and Processes (STAMP) theory, this work analyzes the logical relationship between MA indicators and accidents. STAMP provides a more comprehensive understanding of indicators involving multiple barriers. Lastly, drawing upon a large language model, this paper retrospectively analyzes 212 accident reports to verify the connection between the index and actual accidents. It is noteworthy that the MA indicators adhere to SMART criteria for effective measurement.
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