Construction of Smart City Street Landscape Big Data‐Driven Intelligent System Based on Industry 4.0

Li, Zhe; He, YuKun; Lu, Xinyi; Zhao, Hengyi; Zhou, Zheng; Cao, YinYin

doi:10.1155/2021/1716396

Cited by 10 publications

(6 citation statements)

References 38 publications

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“…But given the two sides of the coin, the positive outcomes of Industry 4.0 for workers will depend on social conflicts and politics. It is proposed that the fourth Industrial Revolution will bring not only a simple improvement of efficiency or the construction of "holistic government" in the traditional sense [5], but also a great social practice adapting to the arrival of the fourth Industrial Revolution, which is likely to bring about revolutionary changes in the form of government. That is, from the "physical space" government form of industrialization to the "digital space" government form in the era of big data.…”

Section: Related Workmentioning

confidence: 99%

Research on Adaptive Intelligent Decision Algorithm in Industry 4.0 Digital Economy and Management Transformation Based on Clustering Algorithm

2024

Teh. vjesn.

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How to transform the business model of enterprises and make it more in line with the new requirements of industrial upgrading is an important part of the government's supply-side reform in the era of Industry 4.0. For the current research on the good management transformation of digital economy in the fourth Industrial revolution, linear function and four commonly used nonlinear function models are first selected to test the good management transformation of digital economy in different technologies, and the key success factors of the strategic transformation from traditional industry to Industry 4.0 business model are explored based on fuzzy hierarchical analysis. Logistic and Gompertz models were used to judge the life cycle stage of the hot technologies of the fourth Industrial revolution, and based on their development trend clustering, the hot technology groups of the fourth Industrial revolution were explored. Secondly, k-means clustering algorithm based on the optimal class center perturbation is proposed, and simulation experiments are carried out. A clustering algorithm based on k-means algorithm is designed, and the moving mode of k-means in the algorithm is changed, and a disturbance strategy is added to strengthen the adaptive intelligent decision-making ability of the algorithm. K-means clustering algorithm based on the optimal class center disturbance is proposed, and simulation experiments are conducted. At the same time, the values of step size factors in the algorithm are compared experimentally. Finally, it explores the function mechanism of digital economy, management transformation and management transformation in the operation of supply chain node enterprises. By analyzing the current situation and problems of digital operation of logistics and supply chain enterprises, it constructs the digital operation system of supply chain enterprises, and proposes the path of digital transformation and upgrading of supply chain enterprises, so as to promote the rapid development of supply chain node enterprises.

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Section: Related Workmentioning

confidence: 99%

Research on Adaptive Intelligent Decision Algorithm in Industry 4.0 Digital Economy and Management Transformation Based on Clustering Algorithm

2024

Teh. vjesn.

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“…Trees, shading devices, and energy-saving appliances and other types of urban furniture may be required to achieve better outcomes because the shading study is restricted to buildings that were focused on during solar-powered furniture modeling [51,52]. Because the areas are comprehended contextually, each street's function can be determined, and design criteria may be chosen to strike an equilibrium among streets layout and land use [53]. Urban furniture, pavement, signage, illumination, sidewalk plants, medians, sustainable technology incorporation, landscaping, pavement materials, and car parks are examples of typical urban essentials.…”

Section: Comparison With Saudi Arabian Urban Furniturementioning

confidence: 99%

Integrating Renewable-Based Solar Energy into Sustainable and Resilient Urban Furniture Coupled with a Logical Multi-Comparison Study of Cyprus and Saudi Arabia

Alotaibi,

Khalifa,

Abuhussain

et al. 2023

Processes

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The purpose of this research is to analyze and evaluate the urban furniture in the public space of Dr. Fazil Kucuk Park in Nicosia and compare it with a logical Saudi Arabian case study. As such, the focus is on sustainability and renewable energy sources, especially the application of solar energy technologies in urban furniture, in order to determine the feasibility of using sustainable energy to operate the park. A qualitative research approach was chosen, using both secondary and primary data, along with images from the park. The data were analyzed using descriptive analysis, and this applies to both primary and secondary data used in this study. This research used six types of urban furniture, which are lighting, public art, benches, trash cans, bike stands, and billboards. The study showed that only the lights are efficient in using solar energy in the garden, while the rest of the furniture does not have it. The study assesses the integration of solar energy technologies in urban furniture at Dr. Fazil Kucuk Park in Nicosia, contrasting it with a Saudi Arabian case. The study’s scope encompasses six urban furniture types, emphasizing sustainability. The findings suggest actionable insights for enhancing furniture to align with international sustainable development standards. Therefore, it was concluded that more efforts are needed to upgrade the urban furniture in Dr. Fazil Kucuk Park to meet international standards to achieve sustainable development.

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“…The LA map can show th overall spatial distribution of UGI landscape activity (Figure 16), while the eigenvalu table supports the query of the LA measurement and indices' values of a specific UG patch (Table 15, Figure 17). From the perspective of LA, the construction of high-quality mature UGI is its goal [56], and the existing high-quality mature UGI units can be used as references for UGI landscape improvement. Among the other three types of UGI, low-quality mature UGI has a strong ability to attract people, but the greening quality needs improvement.…”

Section: Integration Of Ugi Landscape Activity Information In the Stu...mentioning

confidence: 99%

On the Landscape Activity Measure Coupling Ecological Index and Public Vitality Index of UGI: The Case Study of Zhongshan, China

Zhang

Huang²,

Yang³

2022

Land

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In the context of high-quality urban development and the increasingly important role of urban green infrastructure (UGI) in public life, landscape activity (LA) has gradually become a dominant indicator for improving UGI quality and efficiency, as well as optimizing its environmental friendliness and meeting the recreational needs of the public. Relevant studies have shown that the ecological index (EI) and the public vitality index (PVI) can characterize LA from the perspectives of greening quality and public activities, respectively, and their simultaneous analysis can provide professional judgment and quantitative technical approaches for the LA analysis of UGI. At the same time, with the support of remote sensing, big data, GIS, and other spatial information data, the LA model coupling EI and PVI of UGI needs to be developed. First, this article established a research framework for UGI landscape activity, and by combining environmental remote sensing and location-based services (LBS) technology, a technical LA measurement strategy suitable for the coupled analysis of EI and PVI was formed. Then, based on the MATLAB platform and the entropy-weighted TOPSIS model, this research developed a fusion analysis algorithm of EI and PVI to establish the LA model, taking the central urban area of Zhongshan as a case study. Finally, four-quadrant classification and quantitative grading of LA were developed based on the ArcGIS platform. Empirical research showed that the UGI area of the study area was about 176.43 km2, and 160 UGI units were identified. The minimum LA value is 0.06, and the maximum is 0.85. The LA of UGI in the study area can be divided into three grades: low (0–0.24), medium (0.24–0.46), and high (0.46–0.85). Among them, the top 5% of UGI units mainly correspond to urban parks and waterfront greenways, and the bottom 5% mainly correspond to islands and farmland. The quantitative distribution of UGI in the four quadrants of LA in the study area is relatively balanced: among them, the number of high-quality developing types is the largest, accounting for 29.4%, and that of high-quality mature types is the least, accounting for 20.0%. This article forms a concise model and technical process for the LA of UGI, which can be used for its quantitative analysis and evaluation. It is expected that the research result will be significant for the high-quality construction of UGI and the sustainable development of the urban landscape in terms of research and exploration.

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Construction of Smart City Street Landscape Big Data‐Driven Intelligent System Based on Industry 4.0

Cited by 10 publications

References 38 publications

Research on Adaptive Intelligent Decision Algorithm in Industry 4.0 Digital Economy and Management Transformation Based on Clustering Algorithm

Research on Adaptive Intelligent Decision Algorithm in Industry 4.0 Digital Economy and Management Transformation Based on Clustering Algorithm

Integrating Renewable-Based Solar Energy into Sustainable and Resilient Urban Furniture Coupled with a Logical Multi-Comparison Study of Cyprus and Saudi Arabia

On the Landscape Activity Measure Coupling Ecological Index and Public Vitality Index of UGI: The Case Study of Zhongshan, China

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