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41.
PROBLEM: Work on aerial lift platforms exposes workers to fall hazards. The objective of this study was to identify the most common injury scenarios and determine current research gaps for addressing fall incidents associated with aerial lifts. METHODS: Three databases were searched: Census of Fatal Occupational Injuries (CFOI), NIOSH Fatality Assessment and Control Evaluation (FACE) reports, and OSHA Incident Investigation Records. RESULTS: The majority of falls/collapses/tipovers were within the height-category of 10-29 feet. Tipovers comprised 44-46% of boom-lift falls and 56-59% of scissor-lift falls. Constructing and repairing activities were most commonly associated with fall/collapse/tipover incidents. DISCUSSION: CFOI and OSHA/FACE show convergent data, suggesting similar scenarios for aerial lift tipovers. IMPACT ON INDUSTRY: The analysis provides the aerial lift industry information to prioritize their efforts on aerial lift design. 相似文献
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结合我国危险废物集中处置设施建设的技术现状,对现行焚烧、安全填埋为主体工艺的处置技术体系和等离子体处置技术的特点、处置应用适应性等进行了分析。提出应大力研究开发危险废物等离子体处置国产化技术装备,逐步建立焚烧、等离子体处置、安全填埋3种主体工艺共存并相互匹配、补充的技术体系,并对研发的关键技术、实施措施及组织形式等进行了分析阐述,为开展我国危险废物处置工艺升级的技术装备研究开发提供借鉴。 相似文献
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罗伟坚 《中国特种设备安全》2014,(12):36-40
本文分析了特种设备的安全状况、应急救援预案的管理要求和现状,提出了应急救援预案的构成要素及其主要内容,以液化石油气储罐为例阐述了危险源辨识、后果预测以及现场应急处置方法,为企业编制特种设备应急预案提供了参考。 相似文献
44.
灰色预测法在设备状态趋势预报中的应用 总被引:6,自引:0,他引:6
施国洪 《中国安全科学学报》2000,10(5):49-53
分析了设备运行状态的特征 ,运用灰色系统理论对设备状态特征量——振动烈度 ,建立了灰色预测模型。计算结果表明 ,预测模型的计算值与实际测定值非常接近 ,而且可进一步预报设备运行状态趋势。灰色预测法的引进 ,丰富了设备状态监测与故障诊断技术学科的基础理论 ,推动了该学科向更高水平发展 ,预示了该学具有更广阔的应用前景。 相似文献
45.
“推进中国清洁生产"项目(B-4子项目),在27家企业开展了29轮清洁生产审计,共发现690项清洁生产技术?本文将690项清洁生产技术按投资量分为无/低费和设备更新技术,并对这两项技术进行了成本效果分析,发现无/低费技术平均每10000元投资削减COD54.2t/a,创经济效益101.6万元/a;设备更新技术平均每10000元投资削减COD0.60t/a,创经济效益0.91万元/a(以净现值计);无/低费技术的投资偿还期平均为4.0个月,设备更新技术的投资偿还期平均为400个月? 相似文献
46.
安全设备工程学——一个新兴的交叉学科 总被引:4,自引:4,他引:0
王述洋 《中国安全科学学报》2001,11(5):1-5
根据当今人类文明日益增长的安全需求、现代可持续发展观、学科建设原理和现代设备设计方法学研究的发展势态 ,充分注意到安全科学技术学科建设需要 ,笔者提出了安全设备工程学的理论及建立其学科的构架。简要论述了现代各类设备应具备的共同基本特征 ,较深入地阐述了安全设备学的广义及狭义定义、主要研究内容、任务、目标 ,以及其学科的体系构成和知识结构 相似文献
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49.
This study presents an assessment model that examines quantity and quality factors for equipment risk management in the petrochemical industry. The proposed model has five dimensions—financial performance, logistical support, service level, learning and innovation, and risk control. This evaluation model uses 13 strategy subjects and 78 performance-measurement indicators. Performance assessment indicators are initially established and revised based on expert opinions collected via a questionnaire. Further, the analytical network process (ANP) is utilized to calculate the weights of indicators in each layer and to construct assessment models with applicable and valuable references. To determine model practicability, this study assesses four subsidiaries of the case company. Each subsidiary has a capitalization exceeding TWD 50 billion. In addition to evaluating company performance in terms of each dimension and indicator, the proposed model provides a valuable reference for decision-making in equipment risk management. 相似文献
50.
In Europe, the Directive 2012/18/EU (Seveso III) strengthens the obligation to adopt a program assuring the integrity of critical equipment at major hazard establishments, by taking into account actual deterioration mechanisms (internal and external corrosion, erosion, thermal and mechanical fatigue, etc.). The program must cover all phases of the lifecycle and ensure a safe ageing of equipment, particularly when these are reaching the final stage of life. The effectiveness of the integrity program must be carefully assessed during the audits planned by the establishment's operator as well as by inspectors on behalf of the Competent Authorities. The adoption of a Risk Based Inspection scheme provides a valuable help to face this matter. The operator is, anyway, required a considerable effort to face at least three issues related to: (i) the understanding of concurring physical and chemical phenomena; (ii) the management of information associated with each individual component and its history, (iii) the appropriate measurement, including acquisition and management of data. There is a considerable difficulty in understanding these issues during Seveso inspections and external audits, because time and resources are often limited. For this reason, models and methods supporting the definition of the ageing status and trend in industrial sites are needed. This paper analyses the main factors affecting ageing. A framework for “ageing” assessment in complex industrial sites, including “Seveso” establishments, is proposed; then, its validation, by means of data collected during a testing phase carried out in Italy, is also given. 相似文献