{"title":"基于工业互联网的主要过程事故指标的开发","authors":"","doi":"10.1016/j.jlp.2024.105418","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of major process accident indicators based on Industrial Internet\",\"authors\":\"\",\"doi\":\"10.1016/j.jlp.2024.105418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":16291,\"journal\":{\"name\":\"Journal of Loss Prevention in The Process Industries\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Loss Prevention in The Process Industries\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0950423024001761\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Loss Prevention in The Process Industries","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950423024001761","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
摘要
近年来，中国生产的大宗化工产品一直位居世界主要供应商之列。单个石化厂和化工园区的规模显著扩大，导致其复杂性增加，从而增加了潜在损失的不确定性。MA（重大事故）指标可以全面评估工厂的安全绩效。本研究侧重于三个主要目标：首先，利用工业互联网技术驱动的过程安全管理软件，我们开发了 MA 指标。其次，运用系统理论事故模型和过程（STAMP）理论，分析 MA 指标与事故之间的逻辑关系。STAMP 为涉及多重障碍的指标提供了更全面的理解。最后，本文借鉴大语言模型，对 212 份事故报告进行了回顾性分析，以验证指标与实际事故之间的联系。值得注意的是，MA 指标遵守了有效测量的 SMART 标准。
Development of major process accident indicators based on Industrial Internet
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.
期刊介绍：
The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals.
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