Author(s)

Hai Wang

Corresponding Author

Hai Wang

Abstract

Urbanization has been rapidly progressing, making municipal infrastructure primary in the smooth operation of cities and residents’ quality of life. Traditional service and management models often face the challenges of information island, a slack reaction, irregular resource allocation, which cannot meet the requirements of modern and refined urban governance. The rise of big data technology provides an opportunity for new methods and means to manage the intelligent municipal infrastructure. From a big data-driven perspective, this paper systematically studies optimization pathways for municipal infrastructure maintenance and management. First of all, this study clarifies the application logic of big data, and points out that data collection, integration and sharing are the key to improving the efficiency of infrastructure management. By analyzing big data, it builds a predictive and preventive maintenance model, putting forth a shift from the “reactive repair” towards the “proactive prevention” through machine learning with lifecycle prediction. and addresses the importance of decision support in resource allocation, emergency response and management decision-making. Although big data technology can be used to promote the scientific and intelligent maintenance and management of urban infrastructure, there are still some problems in terms of standardizing data format, protecting privacy security, inter-department coordination, etc. The research presents theoretical support and practical reference for smart city development

Keywords

Big Data; Municipal Infrastructure; Maintenance Management; Predictive Modeling; Decision Support; Smart Cities