数字化智能制造背景下城市街道空间设计景观要素改造分析

Q3 Engineering EAI Endorsed Transactions on Energy Web Pub Date : 2023-10-24 DOI:10.4108/ew.4221
Lei Song
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 OBJECTIVES: To improve the level of digitization in China, the application of intelligent manufacturing in urban street space design; to promote the transformation of urban landscape elements, urban modernization will increase the level; to solve the problem of the urban environment improvement and economic development is not synchronized; to promote the modernization of urban development, enhance the level of urban informatization and intelligence.
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引用次数: 0

摘要

导读:随着经济水平的增长,中国城市居民的城市生活水平也越来越高,这就产生了对城市街道空间设计提高的要求。而且,随着智能制造等计算机技术提升各行业的效率,智能制造应用于城市空间设计景观也有了雏形。 目的:提高中国数字化水平,研究智能制造在城市街道空间设计中的应用;促进城市景观要素转型,将提高城市现代化水平;解决城市环境改善与经济发展不同步的问题;促进城市现代化发展,提升城市信息化和智能化水平。 方法:首先通过理论阐述的方法建立智能制造最优路径的威尔斯方程;其次,运用数据统计分析的方法,分析人们对城市街道空间设计的需求;最后,通过案例分析,总结出城市街道空间创造应遵循的原则和建设展望。 结果:智能制造最优路径的Wells方程表明,智能制造对城市街道空间设计效率有显著的正向影响;数据统计分析结果表明,当前城市街道空间设计水平已不能满足人们日益增长的精神文化需求;案例研究结果表明,城市街道空间的设计应遵循安全、贴近自然、以人为本的设计原则。 结论:应及时做好数字化智能制造背景下的城市街道空间设计,加强城市景观设计水平,满足后新冠疫情时代人们日益增长的精神文化需求。
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Digital Smart Manufacturing Context Urban Street Space Design Landscape Elements Retrofit Analysis
INTRODUCTION: With the growth of the economic level, China's urban residents' urban living standards are also increasingly high, which has produced the story of an urban street space design to improve the requirements. Moreover, with intelligent manufacturing and other computer technology to enhance the efficiency of various industries, smart manufacturing applied to urban spatial design landscapes also has a prototype. OBJECTIVES: To improve the level of digitization in China, the application of intelligent manufacturing in urban street space design; to promote the transformation of urban landscape elements, urban modernization will increase the level; to solve the problem of the urban environment improvement and economic development is not synchronized; to promote the modernization of urban development, enhance the level of urban informatization and intelligence. METHODS: Firstly establishes the Wells equation of the optimal path of intelligent manufacturing through the technique of theoretical exposition; secondly, analyzes people's demand for urban street space design by using the method of data statistics and analysis; lastly, summarizes the principles to be followed in the creation of urban street space and the construction outlook through case study. RESULTS: The Wells equation of the optimal path of smart manufacturing shows that intelligent manufacturing has a significant positive effect on the efficiency of urban street space design; the results of data statistics and analysis show that the current level of urban street space design cannot meet people's growing spiritual and cultural needs; the results of the case study show that the design of urban street space should follow the design principles of safety, closeness to nature, and human-centeredness. CONCLUSION: Urban street space design in the context of digital intelligent manufacturing should be done promptly, and the level of urban landscape design should be strengthened to meet people's growing spiritual and cultural needs in the post-New Crown epidemic era.
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来源期刊
EAI Endorsed Transactions on Energy Web
EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology
CiteScore
2.60
自引率
0.00%
发文量
14
审稿时长
10 weeks
期刊介绍: With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.
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