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首页> 外文期刊>Ecotoxicology and Environmental Safety >Designing a smart risk analysis method for gas chlorination units of water treatment plants with combination of Failure Mode Effects Analysis, Shannon Entropy, and Petri Net Modeling
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Designing a smart risk analysis method for gas chlorination units of water treatment plants with combination of Failure Mode Effects Analysis, Shannon Entropy, and Petri Net Modeling

机译:结合失效模式影响分析,香农熵和Petri网建模设计水处理厂气体氯化装置的智能风险分析方法

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摘要

Today, all modern industrial units acknowledge the necessity of efficient and effective safety, health, and environment (HSE) systems. To become practical, these systems must be localized and customized to serve the exact needs of the industry. Nevertheless, most HSE plans are developed upon a set of common presumptions. In the water industry, gas chlorination units require strong HSE plans to mitigate the possibility of chlorine explosion and leak. This study aimed to provide an efficient HSE system for gas chlorination process within water treatment plants. This goal was achieved through a case study performed on a water treatment plant in Razavi-Khorasan province, Iran. In the first stage of this study, the researchers made combined use brainstorming sessions and modified Delphi technique to identify the risk factors of gas chlorination units and classify them into six groups in terms of association with chlorination unit building, gas cylinder storage, technical details of gas cylinders, gas cylinder transport, chlorinator connections, and chlorination unit management. In the second stage, the extracted factors were analyzed by Failure Mode Effects Analysis (FMEA) and Shannon Entropy approaches using two different panels of experts, and the results were compared for validation. Finally, the analysis results were structured by Petri Net modeling. The results showed that, according to FMEA, the risk factors with risk priority number (RPN) of over 46 are of highest importance for the studied unit. Once observed, these factors necessitate shutting down the operation until a risk mitigation solution is reached. Among the analyzed factors, (i) the presence of compounds such as NH3, O-2, gas and liquid hydrocarbons and oil in gas chlorine cylinders and (ii) non-vertical and non-mechanized handling of full and empty cylinders during loading and unloading, with RPNs of respectively 160 and 120, were found to be significantly more important than others. In the SE analysis, in addition to the above factors, poor implementation of airflow control mechanism inside the chlorination chamber (W = 0.359), storage of chlorine cylinders near electrical and mechanical installations such as elevators or power panels (W = 0.327), poor pipe placement for connecting the injector to the water inlet and the possibility of air suction (W = 0.433), and failure to provide scientific and practical training to the chlorination staff (W = 0.342) were found to be of highest importance.
机译:如今,所有现代工业部门都认识到高效,有效的安全,健康和环境(HSE)系统的必要性。为了变得实用,必须对这些系统进行本地化和定制以满足行业的确切需求。但是,大多数HSE计划是根据一组通用假设制定的。在水工业中,气体加氯装置需要强有力的HSE计划,以减轻氯爆炸和泄漏的可能性。这项研究旨在为水处理厂内的气体氯化过程提供有效的HSE系统。通过在伊朗拉扎维-霍拉桑省的一家水处理厂进行的案例研究实现了这一目标。在这项研究的第一阶段,研究人员结合使用集思广益会议和改进的Delphi技术来识别气体加氯装置的危险因素,并根据加氯装置的建造,储气瓶的储存,技术细节将其分为六类。气瓶,气瓶运输,加氯机连接和加氯装置管理。在第二阶段,使用两个不同的专家小组,通​​过失效模式影响分析(FMEA)和Shannon熵方法分析了提取的因素,并比较了结果以进行验证。最后,通过Petri Net建模构造分析结果。结果表明,根据FMEA,风险优先级(RPN)超过46的风险因素对于所研究的单位最为重要。一旦观察到这些因素,就必须关闭操作,直到达到降低风险的解决方案为止。在分析的因素中,(i)气氯气瓶中是否存在诸如NH3,O-2,气态和液态碳氢化合物和机油之类的化合物,以及(ii)在装载和装载过程中非垂直和非机械地对满和空气瓶进行处理和已发现,RPN分别为160和120的卸载比其他卸载重要得多。在SE分析中,除上述因素外,加氯室内的气流控制机制执行效果不佳(W = 0.359),靠近电梯和配电盘等机电设备的氯气瓶存储(W = 0.327),效果不佳发现将喷油器连接至进水口的管道位置以及是否有可能吸入空气(W = 0.433)以及未对加氯人员进行科学和实践培训(W = 0.342)是最重要的。

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