Safety hazard inspection system during typhoon warning period to improve the disaster resistance ability of road and bridge construction site

IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY International journal of disaster risk reduction Pub Date : 2024-10-02 DOI:10.1016/j.ijdrr.2024.104876
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Abstract

Typhoons are frequent in coastal cities, and the vulnerability of road and bridge construction sites is high, but existing studies have not focused on the safety management of road and bridge construction sites under typhoon disasters. Traditional manual safety inspections suffer from problems such as low efficiency, high subjectivity, and incomplete coverage. Therefore, this study aims to develop an intelligent safety management system for road and bridge construction sites during the typhoon warning period, in order to achieve rapid and automated typhoon prevention and control. In this study, the automatic identification algorithm of potential safety hazards was developed based on the MATLAB platform, and then the system design of the MATLAB GUI was carried out, which ultimately forms the automatic safety hazard inspection and measure enquiry system during the typhoon warning period for road and bridge construction sites (RBS-TY). The system can realize the detection of vertical deformation, safety distance and safety height by using the point cloud data of the object to be measured. According to the identified safety hazards, it will automatically retrieve the database of typhoon safety measures in the road and bridge construction site and provide the countermeasures in the GUI interface. Experimentally verified results show that this system can assist safety management personnel to quickly guide typhoon prevention and control work during the 24-h typhoon warning period, improve the efficiency of safety management, and help to promote the development of intelligent typhoon emergency response technology at road and bridge construction sites.
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台风预警期安全隐患排查制度,提高路桥施工现场抗灾能力
沿海城市台风频发,道路桥梁施工现场易受台风影响,但现有研究并未关注台风灾害下道路桥梁施工现场的安全管理。传统的人工安全检查存在效率低、主观性强、覆盖面不全等问题。因此,本研究旨在开发台风预警期间路桥施工现场的智能安全管理系统,以实现快速、自动化的台风防控。本研究基于 MATLAB 平台开发了安全隐患自动识别算法,然后进行了 MATLAB GUI 的系统设计,最终形成了路桥施工现场台风预警期间安全隐患自动排查与措施查询系统(RBS-TY)。该系统可利用待测物体的点云数据实现垂直变形、安全距离和安全高度的检测。根据识别出的安全隐患,系统将自动检索路桥施工现场的台风安全措施数据库,并在图形用户界面中提供应对措施。实验验证结果表明,该系统可协助安全管理人员在 24 小时台风预警期间快速指导台风防控工作,提高安全管理效率,有助于推动路桥施工现场智能化台风应急技术的发展。
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来源期刊
International journal of disaster risk reduction
International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
8.70
自引率
18.00%
发文量
688
审稿时长
79 days
期刊介绍: The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.
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