Proceedings of the 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023)

<Previous Article In Volume
Next Article In Volume>

Research on Urban Water Infrastructure Optimization Based on Artificial Intelligent

Authors
Lei Chen1, Junfeng Fu1, *
1School of Electric Power Engineering, Kunming University of Science and Technology, Kunming, China
*Corresponding author. Email: 2631524@qq.com
Corresponding Author
Junfeng Fu
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-336-8_5How to use a DOI?
Keywords
Urban water infrastructure; Optimization model; Neural network; Artificial intelligence
Abstract

At present, the city water system has been utilized in numerous countries and continuously changed by the city’s appearance or development requirements. However, existing cities’ water infrastructures are established with low requirements and construction structure conditions, which cannot satisfy the current expand amount of population water supply and may decrease the region’s economic growth. In this paper, the related concepts and evaluation indicators for water infrastructure and traditional structures of urban water infrastructure are initially introduced. Subsequently, the existing artificial intelligent neural network to train a novel urban water infrastructure optimization model is utilized, which can enhance the water supply effectiveness and avoid system faults. From our extensive simulation results, it can be concluded that the proposed model can achieve the optimization of urban water infrastructure for certain evaluation indicators with reasonable costs.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023)
Series
Advances in Engineering Research
Publication Date
30 December 2023
ISBN
978-94-6463-336-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-336-8_5How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Lei Chen
AU  - Junfeng Fu
PY  - 2023
DA  - 2023/12/30
TI  - Research on Urban Water Infrastructure Optimization Based on Artificial Intelligent
BT  - Proceedings of the 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023)
PB  - Atlantis Press
SP  - 32
EP  - 39
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-336-8_5
DO  - 10.2991/978-94-6463-336-8_5
ID  - Chen2023
ER  -