Organizational Factors Affecting Safety Implementation in Food Companies in Thailand

Thai food industry employs a massive number of skilled and unskilled workers. This may result in an industry with high incidences and accident rates. To improve safety and reduce the accident figures, this paper investigates factors influencing safety implementation in small, medium, and large food companies in Thailand. Five factors, i.e., management commitment, stakeholders’ role, safety information and communication, supportive environment, and risk, are found important in helping to improve safety implementation. The statistical analyses also reveal that small, medium, and large food companies hold similar opinions on the risk factor, but bear different perceptions on the other 4 factors. It is also found that to improve safety implementation, the perceptions of safety goals, communication, feedback, safety resources, and supervision should be aligned in small, medium, and large companies.     

层次分析法的改进及在安全决策中应用的研究

本文根据化工行业的特点及调研资料,建立了影响安全的层次结构模型即安全指标体系。并利用改进式层次分析法（IAHP）对该体系进行分析,得出了各个因素对安全的影响系数（权重）。     

基于BERT-BILSTM-CRF模型的电力行业事故文本智能分析*

为解决电力行业事故报告文本较长、语义复杂,难以进行有效文本识别问题,提出1种以BERT作为底层的预训练模型,并设计1种双重注意力机制编码器,结合BILSTM-CRF深度挖掘事故文本语义特征,从而实现文本智能分析。首先构建电力词典,通过对BERT预训练,进行BIO标注,然后引入BILSTM-CRF模型实现对文本标签智能分类,最后将该模型与现行其他4种深度学习模型进行对比。研究结果表明:该模型智能识别精确率、召回率及F1值(查准率)均达到约97%,较其他4种模型中效果最好的模型分别提高0.02,0.03,0.02。研究结果可为电力行业事故报告文本分析提供1种新思路。     

信息可视化在化工企业水环境安全影响评价中的研究及应用

运用data system.exe技术,对水环境评价系统功能模块进行设计;提出水环境影响评价信息可视化软件的设计方法;建立水环境污染因子数据信息可视化软件,并应用该软件对石油化工企业的水环境进行了初步的风险评价。结果表明:该软件能在识别污染因子数据信息的同时生成与之相匹配的直观的模拟环境图像,有助于管理者进行及时分析与决策;通过输入水环境污染因子监测值后,系统可以自动判定环境的污染的程度,并把对应环境质量的级别、环境的安全程度以及污染对人体与生物的影响程度在图中显示出来,能够有效地提高环境影响评价的可靠度;评价示意图中的评价因子可以根据需要进行增加或更换,有助于该系统的推广应用,建立的环境污染因子数据信息可视化模型具有很强的适用性。     

云技术在石油行业应急管理中的思考

面对石油行业突发事件全过程,利用大数据云处理技术,以应急管理4阶段为划分标准,将云技术运用到应急管理四大阶段当中,为解决缺乏合理的信息技术手段、应急信息搜集不全面、数据挖掘分析技术落后、决策支持模型构建不完善等落后的临时性应急管理模式,找寻到一种高效应急管理模式的新方向。     

石油化工装置安全距离确定方法研究

为确定石油化工装置与暴露目标间的合理安全距离,对国内外安全距离确定方法进行研究,以个体风险标准值和不同危害的伤害阈值为基础,提出确定石油化工装置与暴露目标间安全距离的基本原则。在此基础上,将确定性分析方法和基于风险的方法进行结合,形成石油化工装置与暴露目标安全距离的评估方法。该方法利用暴露目标的个体风险标准选择危害事件,并定义安全距离种类,根据"伤害标准"或"无伤害标准",采取确定性分析方法的方式,确定危害事件与不同暴露目标间的安全距离。应用示例展示该方法在石油化工装置安全距离确定中的应用。     

安全文化产业发育研究

通过问卷调查和资料研究,分析了中国安全文化建设与安全文化产业发育的相互关系,研究了安全文化建设与安全文化产业发育两者之间影响和关系,指出二者共同发展的必要性和重要性,以及影响我国安全文化产业发展的有关因素,提出了我国安全文化产业发展的建议。     

Prioritizing prevention opportunities in the Washington State construction industry, 2003-2007

Objective

This study compares construction industry groups in Washington State by injury severity and cost, and ranks industry groups according to potential for prevention.

Methods

All Washington State workers' compensation compensable claims with date of injury between 2003 and 2007 were classified into North American Industrial Classification System (NAICS) industry groups. Claims were then aggregated by injury type and industry groups were ranked according to a prevention index (PI). The PI is the average of the rank orders of the claim count and the claim incidence rate. A lower PI indicates a higher need for prevention activities. The severity rate was calculated as the number of days of time loss per 10,000 full-time equivalents (FTEs).

Results

For all injury types, construction industry groups occupy 7 of the top 15 PI ranks in Washington State. The severity rate among construction industry groups was twice that for non-construction groups for all injury types. Foundation, structure, and building exterior contractors (NAICS 2381) ranked highest in prevention potential and severity among construction industry groups for most common injury types including falls from elevation, fall on same level, struck by/against, and musculo-skeletal disorders of the neck, back, and upper extremity (WMSDs). Median claim costs by injury type were generally higher among construction industry groups.

Conclusions

The construction industry in Washington State has a high severity rate and potential for prevention. The methods used for characterizing these industry groups can be adapted for comparison within and between other industries and states.

Impact on Industry

These data can be used by industry groups and employers to identify higher cost and higher severity injury types. Knowledge about the relative frequencies and costs associated with different injury types will help employers and construction industry associations make better informed decisions about where prevention efforts are most needed and may have the greatest impact. The results of this study can also be used by industry stakeholders to cooperatively focus on high cost and high severity injuries and explore best practices, interventions, and solutions as demonstrated by efforts to prevent musculoskeletal disorders in masonry (Entzel, Albers, & Welch, 2007). Initiating construction industry groups to focus on high cost and high severity injuries may also help prevent other types of injuries.     

跨区域应急协作视角下化工园区空间布局的失衡与应对策略分析

随着工业化进程加快,我国化工园区呈现出数量逐年递增且集中分布的态势,增加了跨区域重大突发事件的风险,如何实现跨区域的应急协作成为化工园区安全规划所面临的重点与难点问题之一。基于此,搜集近15 a全国化工园区的安全事故,采用自组织特征映射神经网络分类方法与多元回归模型研究全国范围内化工园区安全事故的空间分布规律及影响因素,进而从风险分布与应急协作需求的匹配性角度讨论我国现有应急协作机制存在的潜在问题。研究结果表明:我国化工园区整体空间布局呈现出以区域优势为导向的趋势,其选址大多忽略了化工园区集中区域的高风险与应急能力不足的问题,这种布局的失衡使得政府无法形成高效的跨区域应急协作体制;化工园区数量上的增加并非是导致危机事故的主要原因,强调了化工园区自身特征与危机事故严重程度的相关性,区域间应急联动协作在化工园区危机应对过程中的重要作用;最后,从空间布局、跨区域协作角度提出化工园区区域应急协作的相应政策建议。     

Fenton氧化去除制药企业活性污泥中AOX的效果研究

用Fenton氧化处理合成制药企业活性污泥混合液,考察了不同Fe~(2+)、H_2O_2投加量和不同反应时间下污泥与上清液中AOX(可吸附有机卤代物)的去除效果,优化了反应条件,探讨了氧化机制.结果表明,Fenton氧化的最佳条件为H_2O_2投加量0.90 mol·L~(-1),Fe~(2+)投加量0.045 mol·L~(-1)[物质的量比为:n(Fe~(2+))∶n(H_2O_2)=1∶20],反应2 h,污泥和上清液中AOX可分别去除70.7%和78.5%.GC-MS分析结果显示,污泥中含有11种有机卤代物,Fenton氧化后有8种不再检出;3种仍有检出,但浓度有所降低,去除率约为40%~50%.与此同时,污泥中对二甲苯、邻苯二甲酸二异丁酯等非有机卤代物类有毒有害有机物也得到有效去除.