Computer Science Department, FK Holywell Park, Loughborough University, Epinal Way, Loughborough LE11 3TU, United Kingdom.
Accid Anal Prev. 2012 Sep;48:193-203. doi: 10.1016/j.aap.2011.06.017. Epub 2011 Aug 4.
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), radio frequency 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.
利用实时身份信息识别事故前兆,对于提高建筑行业的安全性能具有巨大的潜力,因为建筑行业每天都在记录着事故死亡和伤害的情况。本文基于识别前兆的要求分析以及讨论获取和共享施工现场实时自动识别信息的技术解决方案,提出了一种用于主动预防事故的识别系统设计,以提高施工现场的安全性。首先,进行了一项案例研究,以分析施工现场识别事故前兆的自动识别要求。结果表明,它主要包括三个方面,即门禁、培训和检查信息以及操作权限。然后,该系统基于启用 ZigBee 的无线传感器网络 (WSN)、射频识别 (RFID) 技术和集成的 ZigBee RFID 传感器网络结构来满足这些要求。同时,还设计并实现了一个信息数据库,其中包括 15 个表、54 个查询以及几个报告和表单。最后,基于所提出的系统设计开发了一个演示系统,作为概念验证原型。本研究的贡献包括为施工现场主动预防事故的实时身份信息跟踪解决方案进行需求分析和技术设计。本文提出的技术解决方案对于提高施工现场的安全性能具有重要意义。此外,本研究可以作为未来系统集成的参考设计,其中可以添加更多功能,如环境监测和位置跟踪。