摘要
为保障精准建造的检测数据真实可靠,监管部门采取了一系列手段,但都不够行之有效杜绝检测数据造假。随着大数据和云计算技术在工程质量监管中的应用,基于这类高科技技术含量的检测综合监管系统架构已经逐步形成:1)采用大数据和云计算新技术手段保障源数据的真实性;2)通过建设行政主管部门的监管作用,整合分散式的云计算单元,实现大检测的大数据和云计算功能;3)深入挖掘检测数据,利用大数据挖掘分析结果指导勘察设计施工监理和政府主管部门决策,实现建筑业的精准建造。
In order to ensure the detection data of lean construction is reliable,administrative departments of construction have adopted a series of measures,however,they are not effective to eliminate false detection data. As the application of big data and cloud computing technology in construction quality supervision,based on above high-tech,the architecture of Quality detection comprehensive supervision system has gradually formed: 1)Adopt new techniques of big data and cloud computing to ensure the authenticity of source data;2)Integrate distributed cloud computing unit through supervision role of the administrative department of construction,to achieve big detection function of big data and cloud computing;3)Dig detection data and use the data mining analysis results,and then guide the decision-making of administrative departments of construction as well as prospecting unit,design unit,construction unit and supervision unit, to realize lean construction in construction industry.
出处
《工程质量》
2014年第11期59-65,共7页
Construction Quality
关键词
实时动态
云计算
检测监管系统
大数据挖掘
指导施工
real-time dynamic
cloud computing
detection supervision system
big data mining
guide construction