Research On The Application Of Big Data In Engineering

With the deepening of Chinese economic and social reform and the all-round development of urbanization,the government's demand for engineering quality management is getting higher and higher.Compared with the increasingly developed construction projects,the quality management level of the project needs further promotion.Engineering quality management data is not comprehensive and non-dynamic,and the detection data is inaccurate and not timely and so on,which restricts the improvement of engineering quality management level.Therefore,it is necessary to build an engineering quality management system,and achieve the foundation of comprehensive dynamic supervision by acquiring holographic,dynamic,structured and timely data.The development of large data technology provides the possibility for the optimization of engineering quality management.First of all,this paper from the perspective of Big Data under the background of the project quality management theory,discusses the concept and characteristics of Big Data,Big Data necessary to implement project quality supervision and analysis of large data as a function of the support industry engineering construction quality management,analysis of large data on internal logic to improve project quality management from the theoretical level.Secondly,sorting out the current statistical data of project quality management,such as non-accuracy,non-timeliness,non-comprehensiveness and so on,and identifying and discovering the problems existing in the project quality supervision system from the data comparison level.Thirdly,this paper analyzes the methods of improving the quality management model and supervision system,and points out that there are many opportunities for improving the quality supervision of construction projects in the era of Big Data.Finally,put forward countermeasures and suggestions to build quality supervision platform with Big Data,so as to boost the quality management ability of project.