文献类型：期刊文献

英文题名：Developing an Ontology-Based Cold Chain Logistics Monitoring and Decision System

作者：Wang, Yujun[1];Yi, Jianjun[1];Zhu, Xiaomin[1];Luo, Jinlong[1];Ji, Baiyang[2]

机构：[1]E China Univ Sci & Technol, Dept Mech Engn, Shanghai 200237, Peoples R China;[2]Hangzhou Sunyard Syst Engn Co Ltd, Hangzhou 310053, Zhejiang, Peoples R China

年份：2015

卷号：2015

外文期刊名：JOURNAL OF SENSORS

收录：;EI(收录号：20151000615593);WOS:【SCI-EXPANDED(收录号:WOS:000350158400001)】；

基金：This paper is supported by the Research Foundation of Science and Technology Commission of Shanghai under Grant no. 10DZ1500200, the Nature Science Fund of China (NSFC) under Grant nos. 50975088, 51275173, and 51210105018, the Fundamental Research Funds for the Central Universities under Grant no. WH0913009, Shanghai Pujiang Program under Grant no. PJ201000353, and Shanghai Software and IC industry Development Special Fund under Grant no. 120493.

语种：英文

外文关键词：Monitoring - Chains - Network layers - Decision support systems - Wireless sensor networks

摘要：Nowadays the cold chain logistics for perishable goods is increasingly complex, while most of the research works are focusing on the monitoring of temperature and humidity but seldom on the assessment and decision support for the monitored cold chain quality. In this context, a monitoring and decision system based on wireless sensor networks (WSN) and ontology is proposed in this paper which consists of sensing layer, network layer, and application layer. Ontology, as a shared concept model, can describe the objective world better with its own syntax and provides the general understanding of the specialized knowledge in a domain. Therefore, cold chain quality assessment software based on ontology has been developed; consequently, assessment and diagnosis for cold chain quality can be achieved, which can provide constructive advice and suggestions for its treatment. A demonstration of the system along a rabies vaccine logistics chain is validated in this paper. These results proved that this system presents important advantages such as effective regulation, low power consumption, and accurate ontology-based analysis.