Abstract
In this fast-paced era, how to quickly estimate the cost of construction projects has become the focus of research in this field. Due to the traditional cost engineering, the calculation result error will be relatively large. With the continuous development of computer and the emergence of artificial intelligence, people gradually combine the mathematical model with the computer to seek a satisfactory evaluation model to solve some problems in the project. Therefore, how to use artificial intelligence technology to quickly and accurately calculate the project cost has become the current research direction. In this paper, through network information resources, information resource database and other ways, it is concluded that the roof cost may be increased due to the increase of construction vertical transportation volume; according to the statistical analysis of relevant data, the cost can be reduced by 1.2%–1.5% for every 10 cm reduction of residential floor height.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Machi, V.: Artificial Intelligence Top Technology Priority for SECDEF Nominee Esper. Defense Daily 18, 1 (2019)
Truong, A.: Are you ready to be diagnosed without a human doctor? a discussion about artificial intelligence, technology, and humanism in dermatology. Int. J. Women’s Dermatol. 5(4), 267–268 (2019)
Syed, A., Zoga, A.: Artificial intelligence in radiology: current technology and future directions. Semin. Musculoskeletal Radiol. 22(05), 540–545 (2018)
Wenling, W.: Research on disruptive technologies in railway, hydraulic, and architectural engineering. Strateg. Study Chin. Acad. Eng. 20(6), 42–49 (2018)
Mittal, Y.K., Paul, V.K., Sawhney, A.: Methodology for estimating the cost of delay in architectural engineering projects: case of metro rails in India. J. Inst. Eng. (India) 100(2), 311–318 (2019)
Nyka, L.: Bridging the gap between architectural and environmental engineering education in the context of climate change. World Trans. Eng. Technol. Educ. 17(2), 204–209 (2019)
Sun, J.: Construction of dynamic management system of engineering cost based on exponential model. Revista de la Facultad de Ingenieria 32(11), 830–835 (2017)
Mijndert, V.D.S., Roussanaly, S., Rubin, E.S.: Best practices and recent advances in CCS cost engineering and economic analysis. Int. J. Greenhouse Gas Control 83, 91–104 (2019)
Bajo, J., Corchado, J.M.: Neural networks in distributed computing and artificial intelligence. Neurocomputing 272, 1–2 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Yue, J. (2021). Construction Project Cost Management Mode Based on Artificial Intelligence Technology. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_83
Download citation
DOI: https://doi.org/10.1007/978-3-030-70042-3_83
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-70041-6
Online ISBN: 978-3-030-70042-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)