Design and implementation of an identification system in construction site safety for proactive accident prevention

Abstract

Citation: YANG, H. ... et al, 2012. Design and implementation of an identification system in construction site safety for proactive accident prevention. Accident Analysis and Prevention, 48, Additional Information:• This is the author's version of a work that was accepted for publication in the journal Accident Analysis & Prevention. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Abstract: Identifying accident precursors using real-time identity information has great potential to improve safety performance in construction industry, which is still suffering from day to day records of accident fatality and injury. Based on the requirements analysis for identifying precursor and the discussion of enabling technology solutions for acquiring and sharing real-time automatic identification information on construction site, this paper proposes an identification system design for proactive accident prevention to improve construction site safety. Firstly, a case study is conducted to analyze the automatic identification requirements for identifying accident precursors in construction site. Results show that it mainly consists of three aspects, namely access control, training and inspection information and operation authority. The system is then designed to fulfill these requirements based on ZigBee enabled Wireless Sensor Network (WSN), RadioFrequency Identification (RFID) technology and an integrated ZigBee RFID sensor network structure. At the same time, an information database is also designed and implemented, which includes 15 tables, 54 queries and several reports and forms. In the end, a demonstration system based on the proposed system design is developed as a proof of concept prototype. The contributions of this study include the requirement analysis and technical design of a real-time identity information tracking solution for proactive accident prevention on construction sites. The technical solution proposed in this paper has a significant importance in improving safety performance on construction sites. Moreover, this study can serve as a reference design for future system integrations where more functions, such as environment monitoring and location tracking, can be added.

Proximity Warning and Excavator Control System for Prevention of Collision Accidents

“…To prevent falling and proximity accidents at construction sites, Wu et al [26,27] investigated the application of ZigBee/RFID sensor network technology. In a similar study, Yang et al [28] proposed a safety management system based on a ZigBee-enabled wireless sensor network and RFID technology. Kelm et al [29] proposed an RFID-based automatic identification system that allows compliance checking of the personal protective equipment (PPE) worn by workers at construction sites.…”

“…Past research has shown the applicability of RFID technology for accident prevention [25][26][27][28][29]37]. The RFID system is a technology that identifies objects using radio waves of different frequencies.…”

Automated Collection, Identification, Localization, and Analysis of Worker-Related Proximity Hazard Events in Heavy Construction Equipment Operation

“…Multiple other technologies have been studied and evaluated including vision cameras [12][13], radio detection and ranging (RADAR) [14], radio-frequencyidentification (RFID) [11,[15][16], ultra wideband (UWB) [17][18], range imaging cameras [19][20][21], and global positioning system (GPS) [22][23] for potential deployment in the construction environment. Although some of these systems were capable of detecting and alerting workers in real-time of hazards, many are infrastructure-heavy as they require expensive setup of sensing infrastructure.…”

Heterogeneous Node Deployment Model Based on Area Topology Control in WSNs

“…Wireless sensor networks (WSNs) have the advantages of low cost, flexible deployment, and so forth and have been widely used in varied fields, such as environmental monitoring [1,2], intelligent control [3], and military reconnaissance [4,5]. In WSNs, energy efficiency is very important and also a challenge.…”

“…(1) We have analyzed the influencing factors of energy consumption based on the hexagonal structure [3] and deduce the internal laws between the number of nodes and the area energy consumption ratio.…”