College of Architecture and Civil Engineering, Qiqihar University, Qiqihar, Heilongjiang 161006, China.
Comput Intell Neurosci. 2022 Aug 23;2022:3146637. doi: 10.1155/2022/3146637. eCollection 2022.
As an important part of the city, urban streets have always played an active role in carrying public needs and optimizing public living spaces. They are also important to open public spaces in the city. In addition, with technology integration and life, the interactive experience of artificial intelligence (AI) in Street View is gradually increasing. A streetscape planning and design method based on AI interactive experience is proposed. CSiXRevit 2022 software builds street simulation models for better street planning and design. Street digital imaging technology is used to analyze the original streetscape. Landscape features are integrated with the street model. Based on intelligent technology, urban landscape design is studied, and AI interactive experience is analyzed. Analytic hierarchy process (AHP) and AI technology evaluate the effect of landscape design. Firstly, AHP is used to construct the evaluation index system of the rural landscape design effect, and the index weight is determined. Back propagation neural network (BPNN) is used to construct an evaluation model of landscape design effect. Three indexes of target, project, and indicator layer are used to evaluate the effect of rural landscape design. The results show that (1) the variety and richness of streetscapes in the survey area should be increased. Interactive buildings should be placed on the street. (2) The comprehensive evaluation score of the street landscape is 0.60, and the design effect is excellent. The comprehensive evaluation values of the three project layers are 0.65, 0.48, and 0.67, respectively. The data show that the carrying capacity index of the study area is the best, and the vitality index is the weakest. Therefore, when designing the street landscape, the economic development has been strengthened by attracting investment, introducing large-scale exhibition shops, increasing street income, strengthening the construction of street public facilities, and paying attention to the public street experience. This work can provide references for related streetscape designs.
作为城市的重要组成部分，城市街道一直积极承担着满足公众需求和优化公共生活空间的作用。它们也是城市开放公共空间的重要组成部分。此外，随着技术的融合和生活的发展，人工智能（AI）在街景中的交互体验逐渐增加。提出了一种基于 AI 交互体验的街景规划设计方法。CSiXRevit 2022 软件构建街道模拟模型，以更好地进行街道规划和设计。街道数字成像技术用于分析原始街景。景观特征与街道模型相结合。基于智能技术，研究城市景观设计，分析 AI 交互体验。层次分析法（AHP）和人工智能技术评估景观设计效果。首先，AHP 用于构建乡村景观设计效果的评价指标体系，并确定指标权重。反向传播神经网络（BPNN）用于构建景观设计效果的评价模型。利用目标、项目和指标层的三个指标来评价乡村景观设计的效果。结果表明：（1）应增加调查区域内街景的多样性和丰富度。应在街道上放置互动式建筑。（2）街道景观的综合评价得分为 0.60，设计效果优良。三个项目层的综合评价值分别为 0.65、0.48 和 0.67，数据表明研究区域的承载能力指数最好，活力指数最弱。因此，在设计街道景观时，通过吸引投资、引入大型展览商店、增加街道收入、加强街道公共设施建设和关注公众街道体验，加强了经济发展。这项工作可以为相关的街道景观设计提供参考。
