湿式氧化法处理汽油碱渣和液态烃碱渣

介绍了湿式氧化法处理洛阳分公司汽油碱渣和液态烃碱渣的工艺原理和运行效果.     

白炽灯灯丝残骸微观形貌分析

本文模拟火灾中不同情况,制备普通白炽灯破坏的灯丝残骸,利用扫描电子显微镜（SEM）分析灯丝残骸的微观形貌,研究灯丝在不同情况下破坏的特征。发现通电状态下破坏的灯丝氧化严重,与未通电状态的灯丝具有明显的区别。即使经历了高温或火焰灼烧作用后,微观形貌特征仍具有明显的差别。根据这种微观特征可以判断火场中白炽灯的通电状态。     

氧化亚铁硫杆菌对亚铁离子的氧化及其动力学研究

采用9K培养基研究了氧化亚铁硫杆菌氧化Fe^2＋过程中,pH和氧化还原电位的变化规律,并对Fe^2＋的氧化过程进行动力学分析,确定了其反应级数及反应速率常数。结果表明,（1）在温度为30℃,摇床转速为150r／min的条件下,氧化亚铁硫杆菌的最佳接种量为10．0％;（2）Fe^2＋初始质量浓度在11．39～21．72g／L时,随着浓度的增大,Fe^2＋达到100％转化率需要的时间增加;（3）氧化亚铁硫杆菌对Fe^2＋的氧化可近似看作一级反应,反应速率常数为0．0527～0．0788h。     

污染土壤的微波辐照技术研究进展

简要介绍了土壤污染的状况,总结了国外学者对重金属和有机物两大类污染土壤所进行的微波修复工作,探讨了修复机理及影响因素,最后展望了微波修复污染土壤的研究重点.     

微波辐照热解废印刷电路板产物的分析研究

为了减少电子废弃物对环境的危害,实现其资源化回收利用,研究了微波辐照热解废印刷电路板的效果,并采用红外光谱、气相色谱质谱和X荧光光谱等方法对热解产物的组成及性质进行了分析.结果显示:微波热解得到的气体、液体、固体的产率分别为7%～33%、26%～45%、31%～51%,其中气体主要由CO、CO2、H2及有机烃类组成,可燃性气体占70%(体积分数)左右,可作为燃料气加以利用;液体分为水相及油相,经常压蒸馏后得到的120～250 ℃馏分主要为单酚化合物,苯酚高达50%(质量分数)左右,甲基苯酚和邻甲基苯酚为25%(质量分数)以上,是良好的化工原料;固体中除炭外,还含有许多金属如铅、锡和铜等,可以回收利用.说明微波热解技术处理电子废弃物可实现资源化回收利用.     

Migrating an incident reporting system to a CCPS process safety metrics model

A major chemical company established a formal incident investigation and reporting system several years ago. The original system focused heavily on worker-related injuries, illnesses, and near-misses and was used primarily to track statistics reportable to the Occupational Safety and Health Administration (OSHA). This Occupational Injury and Illness (OII) approach has been recognized to be an ineffective tool for measuring, predicting, and preventing process safety incidents. The Center for Chemical Process Safety (CCPS) recently published guidelines on how to establish safety metrics for the measurement and reduction of process safety incidents. The process safety metrics approach relies upon leading and lagging metrics to improve organization process safety. This paper is a case study of the analysis of one organization’s incident database, which represents approximately five years of data from over a dozen facilities. The aim of this investigation was to extract useful process safety metrics from the incident investigation and reporting system, which would be pertinent to the types of process units and process functions at these facilities. This paper will discuss the approach taken to extract process incident information from an OII-based database and present the difficulties of performing an analysis on such a database. This paper provides guidance on how to migrate an existing OII-based reporting system to a program that includes process safety metrics in accordance with industry best practices.     

Factors contributing to US chemical plant process safety incidents from 2010 to 2020

Process safety incidents can result in injuries, fatalities, environmental impacts, facility damage, downtime & lost production, as well as impacts on a company's and industry's reputation. This study is focused on an analysis of the most commonly reported contributing factors to process safety incidents in the US chemical manufacturing industry. The database for the study contained 79 incidents from 2010 to 2019, partly investigated by the Chemical Safety Board (CSB). To be included in the study, the CSB archive of incident investigations were parsed to include only incidents which occurred at a company classified as 325 in the North American Industry Classification System (NAICS), assigned to businesses that participate in chemical manufacturing. For each incident, all of the identified contributing factors were catalogued in the database. From this list of identified contributing factors, it was possible to name the ‘top three’ contributing factors. The top three contributing factors cited for the chemical manufacturing industry were found to be: design; preventive maintenance; and safeguards, controls & layers of protection. The relationship between these top contributing factors and the most common OSHA citations was investigated as well. The investigation and citation history for NAICS 325 companies in the Occupational Safety & Health Administration (OSHA) citations database was then analysed to assess whether there was any overlap between the top reported contributing factors to process safety events and the top OSHA citations recorded for the industry. A database consisting of the inspection and citation history for the chemical manufacturing industry identified by NAICS code 325 was assembled for inspections occurring between 2010 and 2020 (August). The analysis of the citation history for the chemical manufacturing industry specifically, identified that the list of the top contributing factors to process safety incidents overlapped with the most common OSHA violations. This finding is relevant to industry stakeholders who are considering how to strategically invest resources for achieving maximum benefit – reducing process safety risk and simultaneously improving OSHA citation history.     

基于BP网络的建筑安装施工现场安全综合评价的研究

针对目前我国建筑安装施工现场安全评价技术的不成熟和欠科学性的现状 ,笔者分析和综合了目前安全评价技术 ,结合建筑业特点 ,提出了基于BP神经网络的建筑安装施工现场安全评价方法 ,并对该评价模型的原理、方法及算法进行了研究。首先 ,结合建筑安装施工现场安全生产的特点建立评价指标体系 ,随后 ,运用层次分析法确定指标及准则层的权重 ,并运用模糊综合评价法生成评价样本集 ,最后 ,利用样本集训练BP网络 ,待误差满足要求后 ,即可运用训练成功的BP神经网络进行安全评价。     

How can process safety and a risk management approach guide pandemic risk management?

The coronavirus disease (COVID-19) brought the world to a halt in March 2020. Various prediction and risk management approaches are being explored worldwide for decision making. This work adopts an advanced mechanistic model and utilizes tools for process safety to propose a framework for risk management for the current pandemic. A parameter tweaking and an artificial neural network-based parameter learning model have been developed for effective forecasting of the dynamic risk. Monte Carlo simulation was used to capture the randomness of the model parameters. A comparative analysis of the proposed methodologies has been carried out by using the susceptible, exposed, infected, quarantined, recovered, deceased (SEIQRD) model. A SEIQRD model was developed for four distinct locations: Italy, Germany, Ontario, and British Columbia. The learning-based approach resulted in better outcomes among the models tested in the present study. The layer of protection analysis is a useful framework to analyze the effect of different safety measures. This framework is used in this work to study the effect of non-pharmaceutical interventions on pandemic risk. The risk profiles suggest that a stage-wise releasing scenario is the most suitable approach with negligible resurgence. The case study provides valuable insights to practitioners in both the health sector and the process industries to implement advanced strategies for risk assessment and management. Both sectors can benefit from each other by using the mathematical models and the management tools used in each, and, more importantly, the lessons learned from crises.     

A hybrid model for human factor analysis in process accidents: FBN-HFACS

Human factors are the largest contributing factors to unsafe operation of the chemical process systems. Conventional methods of human factor assessment are often static, unable to deal with data and model uncertainty, and to consider independencies among failure modes. To overcome the above limitations, this paper presents a hybrid dynamic human factor model considering Human Factor Analysis and Classification System (HFACS), intuitionistic fuzzy set theory, and Bayesian network. The model is tested on accident scenarios which have occurred in a hot tapping operation of a natural gas pipeline. The results demonstrate that poor occupational safety training, failure to implement risk management principles, and ignoring reporting unsafe conditions were the factors that contributed most failures causing accident. The potential risk-based safety measures for preventing similar accidents are discussed. The application of the model confirms its robustness in estimating impact rate (degree) of human factor induced failures, consideration of the conditional dependency, and a dynamic and flexible modelling structure.