基于大数据的实验室安全风险评估  

Laboratory security risk assessment based on big data

作　　者：王扬[1] WANG Yang(Xuzhou University of Technology,Xuzhou 221018,China)

机构地区：[1]徐州工程学院,江苏徐州221018

出　　处：《现代电子技术》2018年第8期113-115,120,共4页Modern Electronics Technique

基　　金：江苏省高校实验室研究会基金项目(GS2013YB22);江苏自然科学基金(BK20140019)~~

摘　　要：传统实验室安全风险评估法常使用数据评估与人为评估相结合的形式进行评估,易造成理论数据与实践数据相违背的问题,于是提出基于大数据的实验室安全风险评估方法。通过构建实验室安全风险评估总体框架,完善各模块间的协作效应,并给出评估流程图,引入大数据评估方法,利用数据贴合度,重新确立肯特指数,通过评估参数预设,确立三项指标,实现实验室安全风险的评估。实验结果表明,采用改进评估方法进行实验室安全风险评估时,其风险评估精度较高,耗时短具有一定的优势。In the traditional laboratory safety risk assessment method,the form of data assessment and artificial assessment combination is often used for assessment,which can easily result in violation of theoretical data from practical data.Therefore,a laboratory safety risk assessment method based on big data is proposed.The coordination effect between various modules is im-proved by constructing the overall framework of laboratory safety risk assessment.The diagram of assessment process is given.The big data assessment method is introduced to reestablish the Kent index by using the data fit degree.Laboratory safety risk as-sessment is realized by assessing parameter presupposition and establishing three indices.The experimental results show that the improved assessment method for laboratory safety risk assessment has certain advantages with high risk assessment accuracy and short time consumption.

关 键 词：大数据 实验室安全 风险评估 贴合度 评估精度 肯特指数 

分 类 号：TN919-34[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]