人工智能设计在小城市街道空间设计中的应用分析

Q3 Engineering
Lei Song
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引用次数: 0

摘要

导语:目前,中国的城市化在不断发展,但是城市规划设计的水平还没有跟上发展的步伐,尤其是小城市街道空间的创造,还不能适应当前人们文化生活的需要。随着经济和科技的发展,人工智能等信息技术不断融入人们的日常生活。因此,利用人工智能进行街道空间设计研究具有重要意义。 目的:提高中国人工智能、信息技术的发展水平和人工智能的应用水平;解决当前城市尤其是小城镇街道空间设计水平相对较低的问题,满足人们文化生活的需求;促进中国人工智能水平的提高,便利市民生活,进一步提高中国街道空间设计水平。 方法:首先对小城镇街道空间设计原理等相关理论进行论述,说明将人工智能融入小城镇街道空间设计的必要性;其次,利用人工智能建立的模型对小城市街道空间进行优化;最后,通过案例和实例说明将AI设计融入小城镇街道空间设计的可行性。 结果:中国小城市街道空间设计需要更多的设计美学,需要将人工智能融入到街道空间设计中。人工智能对街道空间设计有明显的优化作用,利用人工智能可以提高有限空间的设计水平。也通过案例说明了人工智能可以更好地融入小城市的街道空间设计。 结论:在数字时代背景下,小城市的街道空间设计需要应用人工智能。在以现代化为导向的城市建设中,要进一步加强小城镇的街道空间设计水平,提高城市的现代化水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Artificial Intelligence Design Incorporated into Design of Street Space in Small Cities
INTRODUCTION: At present, China's urbanization continues to develop, but the level of urban planning and design has not kept pace with the progress of development, especially the creation of street space in small cities, which is still not able to adapt to the current needs of people's cultural life. With the development of the economy and science and technology, artificial intelligence and other information technologies are constantly integrated into daily life. Therefore, utilizing artificial intelligence for street space design research is significant. OBJECTIVES: To improve the development level of artificial intelligence, information technology, and the application level of artificial intelligence in China; to solve the problem of the relatively low level of street space design in the current city, especially in small towns, to meet the needs of people's cultural life; to promote the improvement of the level of artificial intelligence in China for the convenience of civil life, and to further improve the level of street space design in China. METHODS: Firstly discusses the theories, such as the principles of street space design in small cities, to illustrate the necessity of integrating AI into street space design in small towns; secondly, the model established by AI is used to optimize the street space in small cities; finally, the feasibility of integrating AI design into street space design in small towns is illustrated through cases and examples. RESULTS: Street space design in small cities in China needs more design aesthetics, and artificial intelligence needs to be integrated into street space design. Artificial intelligence has a noticeable optimization effect on street space design, and using artificial intelligence can improve the design level of limited space. Also illustrates that artificial intelligence can be better integrated into the street space design of small cities through cases. CONCLUSION: In the context of the digital era, the street space design of small cities needs to apply artificial intelligence. In modernization-oriented urban construction, the street space design level of small towns should be further strengthened to improve the modernization level of cities.
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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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