{"id":13173,"date":"2026-10-17T05:20:14","date_gmt":"2026-10-16T21:20:14","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=13173"},"modified":"2026-10-17T05:42:44","modified_gmt":"2026-10-16T21:42:44","slug":"jase-202701-36-027","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202701-36-027","title":{"rendered":"Exploration on Efficiency Optimization and Application Paradigm of Smart Scenario Construction Empowered by Intelligent Perception Technology"},"content":{"rendered":"\n
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<\/i> 2027<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 36<\/a><\/p>\n<\/div>\n\n\n\n

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Hang Li1<\/sup>, Xiaojiang Cui2<\/sup><\/i><\/a>, and Ying Cao3<\/sup><\/p>\n\n\n\n

1<\/sup>School of Information Engineering, Weifang Vocational College, Weifang China<\/p>\n\n\n\n

2<\/sup>Infrastructure Department of Weifang Vocational College, Weifang China<\/p>\n\n\n\n

3<\/sup>General Education Center of Weifang Vocational College, Weifang China<\/p>\n<\/div>\n\n\n\n

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Received: July 21, 2026
Accepted: August 17, 2026
Publication Date: October 17, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

Proposed Smart Scenario Construction <\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation: BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202701_36.027<\/a> <\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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With the rapid iteration of ubiquitous sensing, edge computing and artificial intelligence technologies, intelligent perception has become the core driving force for accelerating the digital transformation and intelligent upgrading of various social scenarios. Traditional smart scenario construction schemes suffer from low data fusion efficiency, high resource occupation, poor scene adaptability and unclear standardized application modes, which severely restrict the large-scale popularization and practical landing of smart service systems. This paper takes intelligent perception technology as the core enabling carrier, systematically explores the core bottlenecks restricting the construction efficiency of smart scenarios, proposes a multi-layer collaborative efficiency optimization framework oriented to heterogeneous perception data, constructs a standardized and scalable smart scenario application paradigm integrating perception, analysis, decision-making and execution. On the basis of sorting out the existing research achievements of intelligent perception and smart scene construction, this paper innovatively designs a weighted adaptive perception data fusion algorithm and an edge-cloud hierarchical resource scheduling optimization model, and derives complete mathematical derivation formulas. Combined with business logic, the overall technical flow chart and module deployment architecture diagram of the optimized system are constructed. A multi-group comparative experiment is carried out based on actual urban community, industrial park and campus smart scenario datasets. Experimental results verify that the proposed optimization strategy can effectively reduce system delay, reduce computing resource consumption and improve perception recognition accuracy. The constructed universal application paradigm has strong universality and expansibility, which can provide theoretical reference and technical support for the efficient construction, rapid deployment and standardized promotion of diversified smart scenarios, and lay a solid foundation for the deep integration of intelligent perception technology and smart social governance, smart industry and smart life fields.<\/p>\n\n\n\n

Keywords: Intelligent Perception Technology; Smart Scenario Construction; Efficiency Optimization; Edge-cloud Collaboration; Data Fusion<\/em><\/p>\n\n\n\n

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  1. [1] X. Bao, B. Zheng, J. Shen, X. Chen, H. Kong, J. Li, X. Wang, and H. Cui, (2026) “Intelligent technologies for tunnel construction and maintenance: A state-of-the-art review of methods and supporting platforms” Tunnelling and Underground Space Technology 168: 107207. DOI: https:\/\/doi.org\/10.1016\/j.tust.2025.107207.<\/li>\n
  2. [2] R. Zhang, G. Liu, Y. Liu, C. Zhao, J. Wang, Y. Xu, D. Niyato, J. Kang, Y. Li, S. Mao, et al., (2026) “Toward edge general intelligence with agentic AI and agentification: Concepts, technologies, and future directions” IEEE Communications Surveys & Tutorials 28: 4285-4318. DOI: https:\/\/doi.org\/10.1109\/COMST.2026.3651702.<\/li>\n
  3. [3] Y. Wang and R. Yu, (2026) “Exploring the factors on the acceptance of generative artificial intelligence teaching assistants: The perspective of technology acceptance model” International Journal of Human-Computer Interaction 42(2): 794-808. DOI: https:\/\/doi.org\/10.1080\/10447318.2025.2513581.<\/li>\n
  4. [4] H. Hao, Y. Wang, and J. Chen, (2024) “Empowering scenario planning with artificial intelligence: A perspective on building smart and resilient cities” Engineering 43: 272-283. DOI: https:\/\/doi.org\/10.1016\/j.eng.2024.06.01.<\/li>\n
  5. [5] V. Yorucu, F. V. Bekun, and I. Yitmen, (2026) “Planning, Design and Construction of Smart and Resilient Urban Cities: Development Frameworks, Pathways and Challenges” Modern Approach of Resilient and Sustainable Smart Cities. Springer, 113-140. DOI: https:\/\/doi.org\/10.1007\/978-3-032-05715-0_8.<\/li>\n
  6. [6] C.-M. Lee and S.-H. Hsieh, (2026) “Edge-enabled real-time framework for context-aware data acquisition and hazard alerting in smart construction sites” Automation in Construction 181: 106642. DOI: https:\/\/doi.org\/10.1016\/j.autcon.2025.106642.<\/li>\n
  7. [7] W. Wang and P. Zhou, (2026) “LLM-Guided risk-sensitive reinforcement learning for smart factories in the scenario of human-robot symbiosis” Expert Systems with Applications 299: 130093. DOI: https:\/\/doi.org\/10.1016\/j.eswa.2025.130093.<\/li>\n
  8. [8] J. Bello and S. Stephen, (2026) “Toward stealth construction: integrating risk management practices into sustainable and inclusive smart city development” Future Smart Cities. Elsevier, 49-71. DOI: https:\/\/doi.org\/10.1016\/B978-0-443-33667-6.00008-2.<\/li>\n
  9. [9] H. A. S. Pinto, L. M. F. Gomes, L. J. A. Pais, M. Nepomuceno, L. F. A. Bernardo, V. Gon\u00e7alves, M. V. Morais, and L. Marchiori, (2026) “GeoBIM for geothermal energy efficiency in buildings and smart cities: A review” Smart Cities 9(3): 54. DOI: https:\/\/doi.org\/10.3390\/smartcities9030054.<\/li>\n
  10. [10] Z. Zhu, H. Huang, Z. Liu, H. Ding, F. Wang, and Z. Zhang, (2026) “Signal transmission performance and mechanism of smart aggregate developed from carbon mineralization in concrete” Construction and Building Materials 506: 144871. DOI: https:\/\/doi.org\/10.1016\/j.conbuildmat.2025.144871.<\/li>\n
  11. [11] X. Wang, H. Wang, and L. Zhang, (2026) “A Scenario-Based Evaluation Framework for Smart Cockpit AI Voice Interaction Derived from Real User Contexts” 2026 6th International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 430-436. DOI: https:\/\/doi.org\/10.1109\/ICCECE69169.2026.11399592.<\/li>\n
  12. [12] O. Vuru\u015fan and H. Nafa, (2026) “Improving the energy performance of residential buildings through solar renewable energy systems and smart building technologies: The Cyprus example” Sustainability 18(3): 1195. DOI: https:\/\/doi.org\/10.3390\/su18031195.<\/li>\n
  13. [13] X. Pan and H. Fang, (2026) “A Semantic Ontology Model Construction Approach for the Station-City Integration Cyberspace” Applied Ontology 21(1): 24-48. DOI: https:\/\/doi.org\/10.1177\/15705838251411713.<\/li>\n
  14. [14] P. Huang, X. Xie, L. Tian, Y. He, and J. Alawatugoda, (2026) “Analysis of the construction of a smart storage-side data proposal model in computer systems” Discover Applied Sciences 8(3): 317. DOI: https:\/\/doi.org\/10.1007\/s42452-026-08315-8.<\/li>\n
  15. [15] G. Wu, H. Shen, Z. Zhao, L. Chen, and J. Han, (2026) “Reinforcing Data Integrity for Smart Wearable Devices via Certificateless Signature with Enhanced Security” IEEE Transactions on Dependable and Secure Computing 23(3): 5260-5270. DOI: https:\/\/doi.org\/10.1109\/TDSC.2026.3652912.<\/li>\n
  16. [16] Wentao Zhang, (2026) “A Multi-Objective Optimization Framework for Planning and Operation of Wind-Photovoltaic-Energy Storage Systems in Smart Grids” Transactions on Environment, Energy and Earth Sciences 5: 302-310. DOI: https:\/\/doi.org\/10.62051\/yvsaws57.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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