摘要
随着社会发展的需求,传统工程管理模式难以适应建筑项目日益增长的复杂性。神经工程管理是一门结合了脑神经科学、认知心理学、管理学等学科交叉的新兴领域,为提升工程决策的质量和效率,控制安全风险,优化人机协作提供了全新的视角和方法。对建筑业神经工程管理研究现状进行了系统性评述,重点关注工程安全管理、职业健康、建筑景观设计、建筑环境感知以及人机协同管理这五个关键研究方向。同时,从多角度深入分析了该领域存在的主要挑战,体现为跨学科理论框架缺乏,研究方法适用性不高,无意识认知处理机制探究匮乏,以及潜在工程伦理和法律风险高。对未来的发展趋势进行了展望,旨在为进一步研究提供参考和启发。
With the demand of social development,traditional engineering management models struggle to adapt to the growing complexity of projects.Neuro-engineering management is an emerging interdisciplinary field that combines brain neuroscience,cognitive psychology,management and other disciplines,providing new perspectives and methods for improving the quality and efficiency of engineering decision-making,controlling safety risks,optimizing human-machine collaboration.This paper systematically reviews the current state of neuro-engineering management research within the architecture,engineering,and construction(AEC)industry,focusing on five key research directions:engineering safety management,occupational health,architecture and landscape design,architectural environment perception and human-machine collaborative management.The primary challenges are also examined from multiple perspectives,including the lack of interdisciplinary theoretical framework,insufficient applicability of research methods,the scarcity of exploration of unconscious cognitive processing mechanisms in AEC industry,and the high potential engineering ethics and legal risks.Furthermore,this review prospects the future development trends,aiming to provide reference and inspiration for further research.
作者
熊朝阳
丁志坤
XIONG Zhaoyang;DING Zhikun(Sino-Australia Joint Research Center in BIM and Smart Construction,Efficient and Intelligent Construction of Underground Metro Station,Shenzhen University,Shenzhen 518060,China;Key Laboratory of Coastal Urban Resilient Infrastructures,Ministry of Education,Efficient and Intelligent Construction of Underground Metro Station,Shenzhen University,Shenzhen 518060,China;Shenzhen Key Laboratory of Green,Efficient and Intelligent Construction of Underground Metro Station,Shenzhen University,Shenzhen 518060,China;Guangming Laboratory of Artificial Intelligence and Digital Economy,Shenzhen 518107,China)
出处
《土木工程与管理学报》
2024年第2期98-108,122,共12页
Journal of Civil Engineering and Management
基金
国家自然科学基金(71974132)
深圳市科技计划资助(JCYJ20190808115809385)
深圳市科技计划资助高等院校稳定支持计划重点项目(20220810160221001)。
关键词
神经工程管理
建筑行业
神经科学
安全风险
人机协作
neuro-engineering
AEC industry
neuroscience
safety risk
human-machine collaboration