Journal of Jilin Jianzhu University

随着智慧工地在城市轨道交通工程中的普及，智慧工地系统已能为工程项目的安全管理提供大量真实可靠的信息化监管数据支持。基于智慧工地背景，提出了一种基于模糊集理论与D-S证据理论的多源信息融合施工风险评估方法。首先，从224起城市轨道交通施工安全事故中提取出能通过智慧工地系统识别到的事故风险因素，按作业人员、机械设备、管理人员、内外部环境4个方面分类，构建风险评价指标体系；然后，通过证据理论将现场监测数据与专家评估进行融合，形成综合风险评价；最后，以南京市某地铁工程为例，验证了所提方法的可行性。该方法克服了主观赋值的缺陷，能够更为客观地反映施工安全风险，对提高城市轨道交通施工安全评价水平具有重要意义。

With the popularity of the smart construction site management system in urban rail transit engineering, a large amount of substantial and reliable information-based supervision data support has been provided for safety management in engineering projects. The multi-source information fusion construction risk assessment method based on monitoring data and evidence theory is proposed within the context of the smart construction site management system. First, risk factors detectable through Smart Construction Site Management System are extracted from 224 urban rail transit construction safety accidents, categorized into four aspects:operators, machinery and equipment, management personnel, internal and external environments, thereby constructing a risk evaluation indicator system. Then, evidence theory is employed to integrate field monitoring data with expert assessments, forming a comprehensive risk evaluation framework. Finally, the feasibility of the proposed method is validated through a case study of a metro project in Nanjing. This methodology overcomes the limitations of subjective weighting assignments and can reflect the construction safety risk status more objectively, which is of great significance for improving the safety assessment level of urban rail transit construction.