Research on Toy Product Risk Monitoring Based on Multi-objective Algorithm Method

被引：1

作者：

Shang Zhao-Xia ^{[1
]}

Liu Hong ^{[2
]}

Zhang-Rui ^{[3
]}

机构：

[1] Shandong Prod Qual Inspect Res Inst, Qual Management Dept, Jinan, Shandong, Peoples R China

[2] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China

[3] Shandong Acad Med Sci, Shandong Inst Med & Hlth Informat, Jinan, Shandong, Peoples R China

来源：

2018 NINTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY IN MEDICINE AND EDUCATION (ITME 2018) | 2018年

关键词：

component; formatting; Multi-objective algorithm; Risk monitoring; Toy product nsert; Harmful substances limited; Risk distribution; Phthalate;

D O I：

10.1109/ITME.2018.00218

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In order to understand the risk level of hazardous substances in toy products and predict the potential risk of toys, a risk analysis algorithm system for toy product based on multi-objective is designed. Through intelligent method it can achieve a reasonable transforming between parameter of test data and risk monitoring data. At the same time, the multi-objective model analysis is carried out for typical cases. By comparing it with the original results, the research effectively achieves all these goals including rapid find potential risk and quantifies risk value. It provides a systematic evaluation tool in risk monitoring area.

引用

页码：978 / 982

页数：5