ABSTRACT

To improve the roof waterproof construction effect of agricultural construction projects, this paper applies big data technology to construction management and construction decision-making of construction projects. Moreover, this paper improves the traditional big data technology, and from the perspective of the roof waterproof construction requirements of agricultural construction projects, this paper improves data mining to make it a core intelligent algorithm that can be used for data recognition and analysis of construction projects. In addition, this paper simulates the construction process according to the roof waterproof construction process of agricultural construction projects, builds the corresponding intelligent construction simulation model and builds the agricultural construction engineering roof waterproof construction simulation through simulation research. Finally, after obtaining the data, this paper conducts experimental research and applies the data mining system of this paper to the analysis of agricultural construction engineering. From the experimental research, it can be known that the method proposed in this paper has a certain effect.

摘要

为提高农业建设项目屋面防水施工效果，本文将大数据技术应用于建设项目的施工管理和施工决策。此外，本文对传统大数据技术进行了改进，从农业建设项目的屋顶防水施工要求出发，对数据挖掘进行改进，使其成为可用于建设项目数据识别和分析的核心智能算法。 . 此外，本文根据农业建设项目屋面防水施工过程模拟施工过程，通过仿真研究，构建相应的智能施工仿真模型，构建农业建筑工程屋面防水施工仿真。最后，在获得数据后，本文进行了实验研究，并将本文的数据挖掘系统应用到农业建设工程的分析中。从实验研究可以看出，本文提出的方法具有一定的效果。