Open AccessResearch on Key Construction Technology of Building Engineering Under the Background of Big Data
Author(s) -
Zhixin Qian,
Xinqi Yang,
Zian Xu,
Weilang Cai
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/3/032003
Subject(s) - informatization , big data , reverse engineering , construction management , computer science , cloud computing , key (lock) , field (mathematics) , reuse , reverse logistics , construction engineering , construction industry , systems engineering , engineering , civil engineering , data mining , computer security , supply chain , business , telecommunications , mathematics , marketing , waste management , pure mathematics , programming language , operating system
In the era of the construction engineering industry informatization, the collection, storage, and reuse of big construction data is the only way to apply and inform big data in the construction industry. Relying on the reverse logistics management system, modern construction technology can simulate the timeliness of materials, funds, and time limits of the actual construction site according to the logistics reverse engineering principle. Then, reverse the active management status of the internal logistics model of the actual project. It is one of the critical problems for construction engineering informatization to study applying big data and cloud computing technology to solve problems from massive and complicated data or mass data. Since the research on big data and cloud computing technology started late in construction engineering, it is worth studying which aspects of these technologies can be used in the whole life cycle of this field. This paper proposes a structural construction optimization identification method based on IPEM rapid reanalysis. USES the co-solubility of reverse logistics structure construction technology and applied the data mining method to solve many problems such as refined construction management leftover material surplus in the later construction stage. Finally, a construction optimization model of reverse logistics building system based on improved data mining is proposed according to the actual engineering requirements.