摘要
随着中国高校信息化水平的不断提高和信息化数据的积累,智慧实验室应运而生。实验室的主体是人,而人也是构成实验室安全事故的重要因素,所以实验室安全防范、事故预测显得十分必要。文中提出了安全信用的概念,提出了一种新型的安全教育模式,并通过对上海大学思安网信息化平台提供的信息化数据的研究与分析,从用户特质、行为偏好、学习能力、考试成绩、课程考勤和事故历史六个维度来对实验用户进行考察。实验室进入者的安全知识和安全技能的掌握程度可以反映实验室的安全隐患,因此基于安全信用将用户进行分类,挖掘高危人群和潜在危险人群的安全技能和安全知识的薄弱点,然后进行安全事故的预测,从大数据的角度为智慧实验室的管理提供新思路。
With the continuous improvement of the informatization level and the accumulation of data in Chinese universities, the intelli- gent labomtory emerges. The human,as the main body of the laboratory ,is the important factor of the laboratory safety accidents,so the protection of laboratory and the prediction of accidents are very significant. In this paper we put forward the concept of security credit and a new model for safety education, and evaluate the users from user＇ s preferences, behavior characteristics,learning ability,test scores, at- tendance and accident history through the research and analysis of informatization data from Shanghai University Sian Informatization Platform. The laboratory safety hazard can be reflected by master degree of safety knowledge and skills of lab entrants, so we categorize users based on safety credit and mine the vuhierabilities of safety knowledge and skills of population with high risk and potential risk, and then forecast the security accident. From the large data a new way for the smart laboratory management is given.
作者
楚丹琪
李睿智
高洪皓
张康
CHU Dan-qi;LI Rui-zhi;GAO Hong-hao;ZHANG Kang(Equipment Office of Shanghai University, Shanghai 200444, China;School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China;Computing Center, Shanghai University, Shanghai 200444, China)
出处
《计算机技术与发展》
2018年第5期107-111,共5页
Computer Technology and Development
基金
上海市科研计划项目(14590500500)
2016年全国高等院校计算机基础教育研究会计算机基础教学改革课题(2016066)
2016年赛尔网络下一代互联网技术创新项目(NGII20160210
NGII20160614
NGII20160325)
关键词
智慧实验室
安全信用
事故预测
数据分析
smart laboratory
safety credit
accident prediction
data analysis
