工程造价信息数据智能统计测算模型研究

Research on Intelligent Statistics Calculation Model of Engineering Cost Information Based on Big Data

为满足我国工程造价行业数字化、智能化发展的新需求,共享工程造价信息资源,是工程造价行业高质量、可持续发展亟待研究的课题。工程造价信息数据具有时效性、区域性的特点,对工程造价信息数据统计测算提出了挑战。研究选用数据统计和神经网络方法,构建工程造价信息数据智能统计测算模型,快速精准测算出工程造价共享指标指数,揭示工程造价运动规律,预测建筑市场变化。研究为工程造价信息数据的挖掘利用提出了新的路径和方法。

In order to meet the new needs of digital and intelligent development in China's engineering cost industry,sharing engineering cost information resources is an urgent research subject for high-quality and sustainable development of the engineering cost industry.The engineering cost information data has the characteristics of timeliness and regionality,Challenges posed to the statistical calculation of engineering cost information data.Research on the application of data statistics and neural network methods to construct an intelligent statistical calculation model for engineering cost information data,in order to rapidly and accurately calculate engineering cost shared indicators,reveal the movement patterns of engineering cost information data,predict changes in the construction market,and explore new paths and methods for digital and intelligent management of engineering cost.