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Cost Control and Project Cost Analysis of Intelligent Building under Internet of Things
Mobile Information Systems ( IF 1.863 ) Pub Date : 2021-09-16 , DOI: 10.1155/2021/8217040
Shengran Xi 1 , Chunxia Zhang 1 , Zixi Cai 2 , Yikang Xu 1
Affiliation  

The conventional urban system has a very disorganized and unmanageable mode of operation, and the information between the systems has not been efficiently shared and interconnected. Smart cities and intelligent building will be the future trend of urban development. With the advent of new concepts and techniques brought by the Internet of Things (IoT) across the world, all fields of life are progressively shifting towards smart societies. Based on the prediction algorithm of the IoT, this paper constructs the cost control and cost prediction model of intelligent building. Combined with the characteristics of the current smart city construction, three engineering cost schemes (S0, S1, and S2) are constructed, and the cost simulation of these three examples is carried out to verify the cost control and cost prediction model of the intelligent building. Experimental results show that the total cost of each cost level of the three schemes is lower than the conventional total cost, and the total cost change rate ranges are −121.6%∼−27.6%, −210.3%∼−47.2%, and −150.3%∼−22.3%, respectively. The proposed smart city cost prediction model can reduce project cost, which has great economic significance for the construction of smart cities.

中文翻译:

物联网下智能楼宇造价控制与工程造价分析

传统的城市系统运行方式非常混乱、难以管理,系统之间的信息没有得到有效的共享和互联。智慧城市和智能建筑将是未来城市发展的趋势。随着物联网(IoT)在全球范围内带来的新概念和新技术的出现,生活的各个领域都在逐步向智能社会转变。本文基于物联网的预测算法,构建了智能建筑的成本控制和成本预测模型。结合当前智慧城市建设的特点,构建了三种工程造价方案(S0、S1、S2),并对这三个实例进行成本仿真,验证了智能建筑的成本控制和成本预测模型。实验结果表明,三种方案各成本等级的总成本低于常规总成本,总成本变化率范围为-121.6%∼-27.6%、-210.3%∼-47.2%、-150.3 %∼-22.3%,分别。提出的智慧城市成本预测模型可以降低项目成本,对智慧城市建设具有重要的经济意义。
更新日期:2021-09-16
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