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Scientific Article details

Title Strategies to Promote Smart City Cultural Scene Construction through Multi-Sensor Fusion Data
ID_Doc 38513
Authors Zhou, Y
Title Strategies to Promote Smart City Cultural Scene Construction through Multi-Sensor Fusion Data
Year 2022
Published
DOI 10.1155/2022/6890117
Abstract The improvement of the level of market economy has driven the rapid development of urban culture, and urban cultural space, as one of the components in the overall development of smart cities, plays an irreplaceable and key role in the display of urban spiritual connotation and style. Today's urban cultural construction is not only limited to cultural individuals but also a comprehensive construction work that needs to be considered and coordinated with the overall development of the city. However, in today's cultural space construction, there are few cultural space construction strategies that can integrate economic characteristics, spatial characteristics, and cultural characteristics. This paper incorporates multisensor data fusion technology into a strategy for building cultural spaces in smart cities, and the theoretical basis of smart city cultural space construction is combined with multisensor functional model and fuzzy integral algorithm, and the realization of cultural space strategy is studied. And compared with traditional methods, it provides scientific basis for actual construction work in the aspects of collection, analysis, estimation, and integration of urban cultural environment and spatial information of cultural space construction. The final experimental data show that the method in this paper can achieve up to 96.2% integration of the cultural space in the experimental development area, which verifies the effectiveness and feasibility of this method. If it is popularized in the current stage of smart city cultural space construction, it can effectively improve the degree of spatial coordination and spatial effect.
Author Keywords
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000838028800027
WoS Category Computer Science, Information Systems; Telecommunications
Research Area Computer Science; Telecommunications
PDF https://downloads.hindawi.com/journals/misy/2022/6890117.pdf
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