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231.
针对民营企业特点,基于交互安全文化模型,建立民营企业安全文化模型并辨识
关键元素,以赛轮金宇股份有限公司为例进行实证分析。在广泛参考国内外相关研究的
基础上,设计调查问卷,运用粗糙集ROSETTA软件对测量结果进行属性简约,最终确定
15个安全文化元素;借助MATLAB,采用熵权法确定各元素权重,然后进行可拓综合评价
。评价结果表明该企业的“高层管理者重视”一项得分为4.82,水平较高,整体文化等
级属于“良”,级别特征变量j*=3.138 1。“创造安全舒适的工作环境”、“建立合理
的奖惩制度”、“定期进行应急演练”3个方面得分偏低,是安全文化建设需要重点加
强的方面。 相似文献
232.
Sheue-Ling Hwang Guo-Feng Liang Jhih-Tsong Lin Yi-Jan Yau Tzu-Chung Yenn Chong-Cheng Hsu Chang-Fu Chuang 《Safety Science》2009,47(3):425-435
In order to increase system safety and team performance, this study aimed to develop a real-time warning model (RTWM) by assessing team response time, error rates, and mental workload. Toward this goal, the group method of data handling (GMDH) algorithm was applied to physiological indices to predict team performance. Then fuzzy logic, fuzzy inference and linguistic variable sets representing the Team Performance and Safety Index were applied to construct the RTWM. To model the RTWM, experiments were conducted on computer-supported cooperative work (CSCW) in the personal computer transient analyzer (PCTRAN) simulator. The simulator and teamwork are designed to simulate the real tasks of the control room of the Fourth Nuclear Power Plant (FNPP) in Taiwan. In addition, important physiological parameters, the NASA-TLX questionnaire, team response time, and team error rates were collected from 39 participants. The results revealed that there was a significant positive correlation between the error rates of teamwork and the interval of event arrival time. This indicated that a pre-alarm device is necessary because vigilance decreased with time. Moreover, a predictive teamwork performance model applying the GMDH algorithm and the RTWM with a fuzzy inference system was developed in this study. The proposed model can efficiently predict teamwork performance to maintain appropriate mental workload as well as ensure system safety. 相似文献
233.
Bioremediation of diesel-contaminated soil with composting 总被引:22,自引:0,他引:22
Namkoong W Hwang EY Park JS Choi JY 《Environmental pollution (Barking, Essex : 1987)》2002,119(1):23-31
The major objective of this research was to find the appropriate mix ratio of organic amendments for enhancing diesel oil degradation during contaminated soil composting. Sewage sludge or compost was added as an amendment for supplementing organic matter for composting of contaminated soil. The ratios of contaminated soil to organic amendments were 1:0.1, 1:0.3, 1:0.5, and 1:1 as wet weight basis. Target contaminant of this research was diesel oil, which was spiked at 10,000 mg/kg sample on a dry weight basis. The degradation of diesel oil was significantly enhanced by the addition of these organic amendments relative to straight soil. Degradation rates of total petroleum hydrocarbons (TPH) and n-alkanes were the greatest at the ratio of 1:0.5 of contaminated soil to organic amendments on wet weight basis. Preferential degradation of n-alkanes over TPH was observed regardless of the kind and the amount of organic amendments. The first order degradation constant of n-alkanes was about twice TPH degradation constant. Normal alkanes could be divided in two groups (C10-C15 versus C16-C20) based on the first order kinetic constant. Volatilization loss of TPH was only about 2% of initial TPH. Normal alkanes lost by volatilization were mainly by the compounds of C10 to C16. High correlations (r=0.80-0.86) were found among TPH degradation rate, amount of CO2 evolved, and dehydrogenase activity. 相似文献