Development and evaluation of RAMP I – a practitioner’s tool for screening of musculoskeletal disorder risk factors in manual handling

RAMP I is a screening tool developed to support practitioners in screening for work-related musculoskeletal disorder risk factors related to manual handling. RAMP I, which is part of the RAMP tool, is based on research-based studies combined with expert group judgments. More than 80 practitioners participated in the development of RAMP I. The tool consists of dichotomous assessment items grouped into seven categories. Acceptable reliability was found for a majority of the assessment items for 15 practitioners who were given 1?h of training. The usability evaluation points to RAMP I being usable for screening for musculoskeletal disorder risk factors, i.e., usable for assessing risks, being usable as a decision base, having clear results and that the time needed for an assessment is acceptable. It is concluded that RAMP I is a usable tool for practitioners.     

小型露天采石场爆破作业安全评价方法的探讨

应用安全检查表、事故树、作业条件危险性分析等方法对露天小型采石场爆破作业进行了分析评价,找出了导致爆破作业事故发生的可能因素及可采用的预防途径,为小型露天爆破作业事故的预防提供有益参考.     

加油站火灾爆炸故障树分析

采用安全系统工程的方法,对加油站的火灾爆炸事故进行了故障树分析。通过故障树分析,得出4个最小径集,指明了预防事故发生的可能途径;从而确定出加油站火灾爆炸事故的预防措施,并做出安全检查表,以供现场实施参考。     

供电企业面向作业危险辨识方法研究

在对供电企业生产特点分析的基础上,以作业项目为研究对象,通过事故逆推法、调查问卷法和访谈法等多种方法确定供电企业危险检查表,共计19类118项;并建立了适用于一线员工使用的危险检查表与工作危害分析(JHA)危险场景描述相结合的危险辨识方法;该方法在太原供电分公司6大专业146个作业项目及1084个工作场景进行应用,实用结果表明:通过员工层控制可达到危险消除或控制的效果。     

沁海煤矿瓦斯重大灾害及生产动态安全状况诊断

按照《煤矿安全规程》2010版制成安全检查表,运用安全检查表法和系统分析的方法对煤矿的主要系统存在的隐患进行逐项诊断,主要诊断矿井的瓦斯抽放系统、矿井的通风系统、矿井的防尘系统、矿井的防灭火系统以及矿井运输提升系统等。诊断主要是针对瓦斯重大灾害及矿井生产过程中违章违规现象以及矿井自然属性带来的系统固有隐患,对矿井中员工的操作规范情况也进行检查,并对存在的隐患和员工的错误操作提出相应的整改措施,促使煤矿及时对矿井存在的系统固有隐患和人为隐患进行整改,以消除在生产动态过程中查出的隐患,从而预防煤矿事故的发生。消灭了事故隐患,实际上也是把事故消灭在萌芽状态之中,达到防患于未然,提高我国煤矿安全生产水平。     

湘潭某新建小学安全现状及管理措施研究

为减少湘潭某新建小学校园安全事件的发生,本文采用安全检查表对该校进行安全隐患排查,通过排查发现该校存在一定的安全隐患问题,主要集中在“物的不安全状态”和“不良环境”2个方面,针对隐患依据4M理论从“人—机—环—管”4个方面提出合理可行的安全管理措施及隐患消除方法。经分析,该校校园环境中存在的安全隐患可通过采取科学有效的方法进行治理。希望本研究可以为小学校园安全管理提供一定的思路。     

基于安全检查表法的锅炉厂质量保证体系的安全评价

运用安全评价方法中的安全检查表法,设计了用于评价锅炉制造厂质量保证体系的安全检查表,根据实际得分对其运转情况进行安全可靠性分级,以引起各级管理责任人的重视,并监督和促使有关管理人员对其具体指标进行整改,从而保证锅炉厂质量保证体系运转正常,以达到制造的产品安全可靠的目的。     

大学生宿舍潜在火灾危险性调查研究

随着学校学生数量不断增加,大学生宿舍楼越来越多。由于生活条件的提高,学习用品不断增多,发生火灾事故的隐患也就逐渐增多,一旦发生火灾事故,后果严重。本文根据对大学生寝室极易发生火灾的安全隐患进行深入调查研究,分析导致寝室火灾的5个主要原因：安全意识薄弱,可燃物多,建筑存在安全隐患,人员集中,不易疏散人群及安全管理滞后。然后应用安全检查表对某校大学生寝室火灾进行分析,得出安全评价结果,经过研究、分析发现,该寝室存在着火灾危险性,应采取防范措施进行预防。之后运用事故树分析的方法对宿舍火灾进行结构重要度分析研究,找出容易发生火灾的原因。最后从预防人的不安全行为及物的不安全状态出发,提出了有针对性的安全措施。     

安全检查表对作业条件危险性分析方法修正的研究

通过安全检查表修正作业条件危险性分析法,进一步改进和完善了作业条件危险性分析法,采用修正后的作业条件危险性分析法对评价项目进行评价,评价结果能够更好地体现评价项目的实际风险等级.通过氧气站的评价实例,介绍了评价方法的具体应用,对适用情况进行了对比分析.     

Site‐Occupancy Distribution Modeling to Correct Population‐Trend Estimates Derived from Opportunistic Observations

Abstract: Species’ assessments must frequently be derived from opportunistic observations made by volunteers (i.e., citizen scientists). Interpretation of the resulting data to estimate population trends is plagued with problems, including teasing apart genuine population trends from variations in observation effort. We devised a way to correct for annual variation in effort when estimating trends in occupancy (species distribution) from faunal or floral databases of opportunistic observations. First, for all surveyed sites, detection histories (i.e., strings of detection–nondetection records) are generated. Within‐season replicate surveys provide information on the detectability of an occupied site. Detectability directly represents observation effort; hence, estimating detectablity means correcting for observation effort. Second, site‐occupancy models are applied directly to the detection‐history data set (i.e., without aggregation by site and year) to estimate detectability and species distribution (occupancy, i.e., the true proportion of sites where a species occurs). Site‐occupancy models also provide unbiased estimators of components of distributional change (i.e., colonization and extinction rates). We illustrate our method with data from a large citizen‐science project in Switzerland in which field ornithologists record opportunistic observations. We analyzed data collected on four species: the widespread Kingfisher (Alcedo atthis) and Sparrowhawk (Accipiter nisus) and the scarce Rock Thrush (Monticola saxatilis) and Wallcreeper (Tichodroma muraria). Our method requires that all observed species are recorded. Detectability was <1 and varied over the years. Simulations suggested some robustness, but we advocate recording complete species lists (checklists), rather than recording individual records of single species. The representation of observation effort with its effect on detectability provides a solution to the problem of differences in effort encountered when extracting trend information from haphazard observations. We expect our method is widely applicable for global biodiversity monitoring and modeling of species distributions.