Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers

被引:129
|
作者
Cheng, Tao [1 ]
Migliaccio, Giovanni C. [2 ]
Teizer, Jochen [1 ]
Gatti, Umberto C. [2 ]
机构
[1] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA
[2] Univ Washington, Coll Built Environm, Dept Construct Management, Seattle, WA 98195 USA
基金
美国国家科学基金会;
关键词
Construction worker behavior; Ergonomics; Physiological status monitoring; Remote location sensing; Work sampling; Workforce safety and health; EXPOSURE; TRACKING; DEMANDS; SENSORS; SYSTEM;
D O I
10.1061/(ASCE)CP.1943-5487.0000222
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Previous research and applications in construction resource optimization have focused on tracking the location of material and equipment. There is a lack of studies on remote monitoring for improving safety and health of the construction workforce. This paper presents a new approach for monitoring ergonomically safe and unsafe behavior of construction workers. The study relies on a methodology that utilizes fusion of data from continuous remote monitoring of construction workers' location and physiological status. To monitor construction workers activities, the authors deployed nonintrusive real-time worker location sensing (RTLS) and physiological status monitoring (PSM) technology. This paper presents the background and need for a data fusion approach, the framework, the test bed environment, and results to some case studies that were used to automatically identify unhealthy work behavior. Results of this study suggest a new approach for automating remote monitoring of construction workers safety performance by fusing data on their location and physical strain. DOI: 10.1061/(ASCE)CP.1943-5487.0000222. (C) 2013 American Society of Civil Engineers.
引用
收藏
页码:320 / 335
页数:16
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