摘要
针对建筑业安全事故率居高不下的现状,找出事故频发的主要原因。基于主要原因中人、机、环境和管理4方面数据和信息的复杂性、不确定性,提出采用信息融合技术的D-S证据理论法对建筑施工全过程中的人、机、环境、管理4方面的数据和信息进行分析和预测,并构建建筑施工安全预警管理预测模型。该预测模型能判断建筑施工项目的"安全状态",能解决建筑施工中安全事故及危险源的预测问题;同时针对具体情况采取防范措施,及时矫正安全隐患和确保安全施工。将D-S证据理论法应用于建筑施工安全预警管理中,扩展了建筑施工安全管理的手段。
In view of the fact that the main causes for high construction accident rate are human, machine, environment and management and considering the complexity and uncertainty of the data and information about human, machine, environment and management, the D - S evidence theory in information fusion technique was used to analyze and predict the work safety of construction industry. Then, a safety pre-warning management prediction model for building construction was established, this model can not only predict the safe condition of construction project and the potential hazards and potential safety accidents during construction operation, but also propose corresponding prevention measures against different unsafe conditions and timely correct the potential perils. The application of D - S evidence theory to early warning safety management in construction industry further expands the construction safety management method.
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2009年第10期106-110,共5页
China Safety Science Journal
基金
西安建筑科技大学研究基金资助(RW0601)
人才基金资助(RC0715)
关键词
安全隐患
安全预警管理
传感器
信息融合技术
D—S证据理论方法
预测模型
safety potential hazards
early warning safety management
sensors
information fusion technology
D -S(Dempster-Shafer) evidence theory
prediction model