School of Architecture, Southeast University, Jiangsu 210096, China.
Graduate School of Engineering, Kyoto University, Kyoto 606-8501, Japan.
Comput Intell Neurosci. 2021 Dec 14;2021:1716396. doi: 10.1155/2021/1716396. eCollection 2021.
With the application of engineering management in smart city construction under Industry 4.0, the intelligent design of urban street landscape has attracted extensive attention. Affected by the low intelligent level of traditional landscape design, the existing urban landscape composite system has difficulty in meeting the needs of smart city construction. Therefore, this paper proposes the construction of street landscape big data-driven intelligent decision support system based on Industry 4.0. Based on the complex network theory, this paper analyzes the structure, links, nodes, driving forces, and functional requirements of urban street landscape and then puts forward the construction content and implementation method of urban street landscape intelligent decision support system. The system consists of four aspects: intelligent infrastructure, service, protection and maintenance, and management and evaluation system. Its implementation not only reflects the cooperation and effective application of intelligent technology in each stage of street landscape construction, but also provides reference for the application of engineering management in other fields under Industry 4.0.
在工业 4.0 背景下工程管理在智慧城市建设中的应用，城市街道景观的智能化设计受到了广泛关注。受传统景观设计智能化水平较低的影响，现有的城市景观复合系统难以满足智慧城市建设的需求。因此，本文提出了基于工业 4.0 的街道景观大数据驱动智能决策支持系统的构建。本文基于复杂网络理论，分析了城市街道景观的结构、联系、节点、驱动力和功能需求，然后提出了城市街道景观智能决策支持系统的构建内容和实施方法。该系统由智能基础设施、服务、保护和维护以及管理和评价系统四个方面组成。它的实施不仅体现了智能技术在街道景观建设各个阶段的协作和有效应用，也为工程管理在工业 4.0 下其他领域的应用提供了参考。
