Enhancing safety management systems practices on construction projects: A proactive data-driven approach for project safety planning and control

加强建设项目的安全管理系统实践：用于项目安全规划和控制的主动数据驱动方法

• 批准号: 556989-2020
• 负责人: Mohamed, Yasser
• 金额: $ 13.99万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705559
• 关键词: Enhancing; safety; management; systems; practices

Construction is one of Canada's most significant industrial sectors, and it is a mainstay of the country's economy that significantly affects provincial and regional economies. The number of fatalities in the Canadian construction industry is higher than any other industry, and it is practically constant. According to the Association of Workers' Compensation Boards of Canada, the number of accepted lost-time claims per year in the construction industry increased 9% from 2016 to 2018. The goal of this project is to research and develop a new framework for safety management that enables robust and holistic planning for safety based on historical and project progress data. This framework will facilitate the integration of quantitative and qualitative data from different sources at different time windows and will enable the testing of what-if scenarios to predict and evaluate the impact of different management decisions on safety performance. The development of this framework will utilize advanced machine learning and distributed simulation technologies to enable the modeling and integration of different data sources. Successful development of the proposed framework will assist the decision-making process of construction practitioners and organizations during construction project planning and execution, and can potentially enable the development of more effective policies for improving safety performance. The outcomes of this project are expected to enhance organizations safety performance and therefore related insurance costs (e.g. workers' compensation rates). Reducing the number of accidents can result in improving the productivity and competitiveness of the Canadian Construction industry. The innovations and findings of this research project can also advance Alberta and Canada's reputation as a world leader in worker safety.

建筑是加拿大最重要的工业部门之一，它是该国经济的支柱，严重影响了省和地区经济。加拿大建筑业的死亡人数比任何其他行业都高，而且实际上是恒定的。根据加拿大工人薪酬委员会协会的说法，从2016年到2018年，建筑行业每年浪费的时间索赔的数量增加了9％。该项目的目标是研究和开发一个新的安全管理框架，以基于历史和项目进度的数据来实现强大的整体规划，以实现安全性和整体规划。该框架将有助于在不同时间窗口中从不同来源的定量和定性数据集成，并能够测试什么情况，以预测和评估不同管理决策对安全性能的影响。该框架的开发将利用高级机器学习和分布式仿真技术来实现不同数据源的建模和集成。在建筑项目计划和执行过程中，成功开发拟议的框架将有助于建筑从业人员和组织的决策过程，并有可能制定更有效的政策以改善安全性能。该项目的结果有望提高组织的安全绩效，从而提高相关的保险成本（例如工人的薪酬率）。减少事故的数量可以提高加拿大建筑行业的生产力和竞争力。该研究项目的创新和发现也可以提高艾伯塔省和加拿大作为工人安全世界领导者的声誉。