Mobile passive Radio Frequency Identification (RFID) portal for automated and rapid control of Personal Protective Equipment (PPE) on construction sites

被引：147

作者：

Kelm, Agnes ^{[1
]}

Laussat, Lars ^{[1
]}

Meins-Becker, Anica ^{[1
]}

Platz, Daniel ^{[1
]}

Khazaee, Mohammad J. ^{[1
]}

Costin, Aaron M. ^{[2
]}

Helmus, Manfred ^{[1
]}

Teizer, Jochen ^{[2
]}

机构：

[1] Berg Univ Wuppertal, Fac Civil Engn, Chair Construct Management & Econ, D-42285 Wuppertal, Germany

[2] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA

来源：

AUTOMATION IN CONSTRUCTION | 2013年 / 36卷

关键词：

Secure access; Compliance checking; Gates and portals; Human behavior; Lagging and leading indicator safety data; Personal Protective Equipment (PPE); Radio Frequency Identification (RFID); Safety and health; Construction workforce morale; Worker education and training; JOB SITES; TRACKING; TECHNOLOGY; COMPONENTS; INDUSTRY;

D O I：

10.1016/j.autcon.2013.08.009

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Although personnel entering a construction site are mandated to wear Personal Protective Equipment (PPE), hardly ever is PPE checked for accurateness, completeness, or whether its shelf-life has expired. Various commercially-existing automated identification (ID) and information technologies (IT) were used to design a mobile Radio Frequency Identification (RFID) portal for checking the PPE compliance of personnel. When such gates are positioned at the entrance or within construction sites and once low-cost passive RFID tags are embedded or attached to PPE, automatic site access, time recording, and completeness control can be performed. These improve the logistics of the existing compliance checking process and provide users with timely feedback. Results to "personnel entering a construction site" demonstrate how the safety process, especially the awareness among personnel wearing PPE, can be pro-actively managed and controlled. Data further suggests the limitations of the developed approach and its potential for gathering leading safety indicator data. Published by Elsevier B.V.

引用

页码：38 / 52

页数：15

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