大连理工大学  登录  English 
姜韶华
点赞:

副教授   博士生导师   硕士生导师

性别: 男

毕业院校: 大连理工大学

学位: 博士

所在单位: 建设管理系

学科: 工程管理

办公地点: 综合实验四号楼517室

电子邮箱: shjiang@dlut.edu.cn

手机版

访问量:

开通时间: ..

最后更新时间: ..

SELECTION OF WIRELESS TECHNOLOGY FOR TRACKING CONSTRUCTION MATERIALS USING A FUZZY DECISION MODEL

点击次数:

论文类型: 期刊论文

发表时间: 2012-02-01

发表刊物: JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT

收录刊物: SCIE、EI、Scopus

卷号: 18

期号: 1

页面范围: 43-59

ISSN号: 1392-3730

关键字: wireless sensor network; construction material tracking; decision model; fuzzy

摘要: As the size and scale of construction projects increase, inefficiencies related to the manual operations about field data in current tracking systems are becoming an important issue. While emerging wireless technologies are providing a feasible vision of ubiquitous computing and sensor networks applicable to the large-scale construction industry, it has become even harder to select a suitable technology for tracking construction materials because of the differing functionalities, capabilities, and scope of application of the specific technology. This research proposes a multi-criteria decision-making model that leverages the decision process in choosing various wireless technologies available on the market. To justify the selection of a specific technology, a fuzzy method was adopted to provide an appropriate way to decide among five alternatives (e.g., RFID, GPS, Wi-Fi, Zigbee, and UWB). Fuzzy ranking was obtained from the aggregated fuzzy appropriate index (FAT) based on a person's point of view (optimist, pessimist, or neutral). The results showed that Wi-Fi might be a suitable solution for optimists and neutral persons, but UWB might be the better alternative for pessimists. The results of this research may assist construction engineers in applying reasonable decision-making procedures in a fuzzy environment such as construction sites, and rank the relative importance of the various criteria and alternatives specified in this research.

辽ICP备05001357号 地址:中国·辽宁省大连市甘井子区凌工路2号 邮编:116024
版权所有:大连理工大学