Abstract
This paper studies the fine management of installation project cost based on artificial intelligence technology. Through investigation and research, this paper finds out the problems in the current project cost management, and puts forward the fine management scheme of installation project cost based on artificial intelligence technology. This scheme is mainly divided into five stages, the first stage is decision-making stage, accounting for 18.6% of the total project task The second stage is the design stage, accounting for 15.8% of the project task; the third stage is the bidding stage, accounting for 7.8% of the project task; the fourth stage is the construction stage, which is the most important stage of the whole project task, accounting for 35.1%; the last stage is the completion settlement stage, and the proportion of the project task is only in the construction stage, accounting for 22.7%.
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Zong, S., Chen, B., Yan, W. (2021). Refined Management of Installation Engineering Cost Based on Artificial Intelligence Technology. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_21
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DOI: https://doi.org/10.1007/978-3-030-62743-0_21
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