Volume ,Issue
Research on the Practical Pathways of Enabling Community Smart Construction through Automation Technology
With the rapid development of information technology and the continuous improvement of urbanization levels, communities, as the basic units of urban governance, have witnessed the implementation of intelligent construction, which has become an important means to enhance urban governance capabilities. Automation technology serves as the driving force for the construction of smart communities, providing new solutions for community management, services, and governance. This paper mainly explores the application value of automation technology in the intelligent construction of communities, analyzes the problems such as technological application disconnection, unbalanced facility construction, and low resident participation in community intelligent construction. From the perspectives of demand-oriented system integration, low-cost sustainable construction models, and resident participation-based service promotion, it explores the practical paths of enabling community intelligent construction through automation technology, providing theoretical references and practical guidance for the modernization of community governance, improvement of residents’ living quality, and sustainable development of communities.
[1] Sheng ZH, 2024, The Development Advantages and Practical Paths of Empowering Smart Community Governance through Large Language Model Technology. Business Observation, 10(36): 86–90.
[2] Wu CC, 2024, The Practical Pathways of AIGC Technology Enabling the Smart Construction of Public Libraries. Shandong Journal of Library Science, 2024(6): 59–64.
[3] Xie XF, Xie JL, Hui YJ, et al., 2025, Research on the Transformation Path of Traditional Shandong and Luoyang Fertility Culture into Smart Communities. Industry and Science & Technology Forum, 24(20): 53–56.
[4] Liao X, 2025, Research on the Path for High-Quality Development of Cultural Industry in Ganzhou City. Comparative Studies on Cultural Innovation, 9(25): 100–103.
[5] Li CF, Wang S, 2024, Research on the Application Prospects of Artificial Intelligence Technology in Archival Institutions: A Perspective Based on the Information Lifecycle. Shanxi Archives, 2024(1): 108–115.