Open AccessCost Control and Project Cost Analysis of Intelligent Building under Internet of Things
Author(s) -
Shengran Xi,
Chunxia Zhang,
Zixi Cai,
Yichen Xu
Publication year - 2021
Publication title -
journal of mobile information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.346
H-Index - 34
eISSN - 1875-905X
pISSN - 1574-017X
DOI - 10.1155/2021/8217040
Subject(s) - computer science , internet of things , building automation , control (management) , smart city , cost control , cost estimate , total cost , the internet , home automation , telecommunications , computer security , risk analysis (engineering) , artificial intelligence , systems engineering , world wide web , business , engineering , physics , accounting , thermodynamics
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.