Digital Smart Manufacturing Context Urban Street Space Design Landscape Elements Retrofit Analysis
Keywords:smart manufacturing, urban streets, spatial design, landscape elements
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.
B, A. A. Q. A. A., A, L. W., C, M. A. Q. A., & B, S. S. (2021). Developing a Quantitative Tool to Measure the Extent to Which Public Spaces Meet User Needs. Urban Forestry & Urban Greening, 23(23), 1–14. https://doi.org/10.1016/j.ufug.2021.127152
Bonilla-Bedoya, S., Lopez-Ulloa, M., Mora-Garces, A., Macedo-Pezzopane, J. E., Salazar, L., & Herrera, M. A. (2021). Urban soils as a spatial indicator of quality for urban socio-ecological systems. Journal of Environmental Management, 300-300. https://doi.org/10.1016/j.jenvman.2021.113556
Catarina P.A.T.O.I.L.O. TEIXEIRA, Cláudia O.L.I.V.E.I.R.A. FERNANDES, Ahern, J., Joo P.R.A.D.I.N.H.O. HONRADO, & Farinha-Marques, P. (2021). Urban Ecological Novelty Assessment: Implications for Urban Green Infrastructure Planning and Management. Science of The Total Environment, 67(78), 145121. https://doi.org/10.1016/j.scitotenv.2021.145121
Chi, H. (2023). Safety management of Internet of Things engineering construction based on GPU parallel computing. Optik, 273, 170447-. https://doi.org/10.1016/j.ijleo.2022.170447
Conway, M., & Conway, A. (2021). Multi-modal interactions on urban streets: New conflicts and emerging challenges in a mixed-use neighborhood: A case study of New York. Applied Geography, 134-134.
Dogani, J., Farahmand, M., & Daryanavard, H. (2021). A new method to detect attacks on the Internet of Things (IoT) using adaptive learning based on cellular learning automata. Etri Journal, 11, 56–67. https://doi.org/10.4218/etrij.2021-0044
Fan, Y. V., Varbanov, P. S., Jií Jaromír Kleme, & Romanenko, S. V. (2021). Urban and industrial symbiosis for the circular economy: Total EcoSite Integration. Journal of Environmental Management, 279, 111829. https://doi.org/10.1016/j.jenvman.2020.111829
Fraccascia, L., Spagnoli, M., Riccini, L., & Nastasi, A. (2021). Designing the biomethane production chain from urban wastes at the regional level: An application to the Rome Metropolitan Area. Journal of Environmental Management, 297, 113328. https://doi.org/10.1016/j.jenvman.2021.113328
Li, S., Zhu, J., Chen, Z., & Luo, T. (2021). Double-layer energy management system based on energy sharing cloud for virtual residential microgrid. Applied Energy, 282, 56–70. https://doi.org/10.1016/j.apenergy.2020.116089
M. Opazo-Basáez, Vendrell-Herrero, F., Bustinza, O., Vaillant, Y., & Mari, J. (2023). Is digital transformation equally attractive to all manufacturers? Contextualizing the operational and customer benefits of smart manufacturing. International Journal of Physical Distribution & Logistics Management, 467, 6367. https://doi.org/10.1108/ijpdlm-12-2021-0538
Mariusz ysień. (2021). Teaching Spatial Planning Using Elements of Design Thinking as an Example of Heuristic in Urban Planning. Sustainability, 13(13), 12–23. https://doi.org/10.3390/su13084225
Maurer, V. C., Patricia. (2021). More than nature: Linkages between well-being and greenspace influenced by a combination of elements of nature and non-nature in a New York City urban park. Urban Forestry & Urban Greening, 61(1), 56–67.
Nguyen, Hq., Bui, Hk., Phan, Vm., & Seo, Ts. (2022). An internet of things-based point-of-care device for direct reverse-transcription-loop mediated isothermal amplification to identify SARS-CoV-2. Biosensors & Bioelectronics, 195, 113655. https://doi.org/10.1016/j.bios.2021.113655
Nicula, A. S., Boan, C. N., Gligor, V., & Coci, E. A. (2022). Celebrating the Great Union through Smart Digital Solutions: Lessons from Alba Iulia, Romania: Journal of Urban History, 48(2), 425–443. https://doi.org/10.1177/0096144220940713
Ring, Z., Damyanovic, D., & Reinwald, F. (2021). Green and Open Space Factor Vienna: A steering and evaluation tool for urban green infrastructure. Urban Forestry & Urban Greening, 62(3), 127131. https://doi.org/10.1016/j.ufug.2021.127131
Sharmin, M., Tjoelker, M. G., Pfautsch, S., Esperon-Rodriguez, M., Rymer, P. D., & Power, S. A. (2023). Tree crown traits and planting context contribute to reducing urban heat. Urban Forestry & Urban Greening, 178(178), 189–194. https://doi.org/10.1016/j.ufug.2023.127913
Sheikhmohammadzadeh, A., Saunier, N., Waygood, E. O. D., & Li, Ms. E. (2022). I am developing an Objective Framework to Evaluate Street Functions. Sustainability, 34(34), 34–45. https://doi.org/10.3390/su14127184
Teixeira, C. P., Fernandes, C. O., Ahern, J., Honrado, J. P., & Farinha-Marques, P. (2021). Urban ecological novelty assessment: Implications for urban green infrastructure planning and management. Science of the Total Environment, 773-773.
Xia, P., Huang, Y., Tao, Z., Liu, C., & Liu, J. (2023). A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern. Reliability Engineering & System Safety, 45(45), 35–45. https://doi.org/10.1016/j.ress.2023.109256
Yang, H., Ong, S. K., Nee, A. Y. C., Jiang, G., & Mei, X. (2022). Microservices-based cloud-edge collaborative condition monitoring platform for smart manufacturing systems. International Journal of Production Research, 134(134), 23–33. https://doi.org/10.1080/00207543.2022.2098075
Yang, Z. Z., Zhang, C., Zeng, G. M., Tan, X. F., Huang, D. L., Zhou, J. W., Fang, Q. Z., Yang, K. H., Wang, H., & Wei, J. (2021). State-of-the-art progress in the rational design of layered double hydroxide-based photocatalysts for photocatalytic and photoelectrochemical H2/O2 production. Coordination Chemistry Reviews, 446, 214103-. https://doi.org/10.1016/j.ccr.2021.214103
Zhao, Y., Meng, R., Zhang, Y., & Yang, Q. (2023). Image encryption algorithm based on a new chaotic system with Rubik’s cube transform and Brownian motion model. Optik, 273, 170342-. https://doi.org/10.1016/j.ijleo.2022.170342
How to Cite
Copyright (c) 2023 EAI Endorsed Transactions on Energy Web
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.