Research on intelligent diagnosis system for city-level digital operation platform integrating artificial intelligence and time series modeling

With the deepening of the digital transformation of cities, the city-level digital operation platform, as an important infrastructure for the construction of smart cities, undertakes the task of collecting, processing, and analyzing huge amounts of data, and guarantees the efficient and coordinated operation of various systems in the city. In the face of the complex and changing urban operating environment, traditional monitoring and diagnostic means are difficult to meet the demand for real-time and intelligentization. Based on the topic of “Exploration and Research on the Development Mode of Deep Integration of Education and Industry under Digitalization Mode”, this paper designs and implements a set of intelligent diagnostic system for city-level digital platform by combining artificial intelligence and time series modeling technology. The system uses deep learning, machine learning and other artificial intelligence methods to model and analyze multi-source time series data, which can effectively identify abnormal states and potential failures in urban operation and realize accurate prediction and diagnosis functions. In the design of the system architecture, the concept of integration of industry and education is emphasized to promote the in-depth combination of the scientific research power of universities and industrial needs, and to promote the application transformation of digital technology and talent training. Through experimental verification and case analysis of real city operation data, the system shows good diagnostic accuracy and response speed, demonstrating strong practical value and promotion prospects. The research in this paper not only enriches the technical system in the field of intelligent diagnosis of urban digital operation platform, but also provides theoretical support and practical guidance for the innovation and development of digital technology in the context of the integration of industry and education, and helps to improve the level of urban intelligent management and sustainable development.