Urban vital signs serve as a crucial basis for identifying the health and operational status of a city. From monitoring to diagnostics, they enable comprehensive perception and intelligent trend prediction of a city's operational conditions, continuously enhancing the wisdom and capability of urban governance.

Aligning with the reform principles of 'deregulation with oversight, streamlined entry with stringent regulation, and optimized services', this framework leverages big data and AI technologies to enhance dual systems—Regulatory Support​ and ​Public Service Systems—establishing a ​structurally scientific, elastically scalable, highly efficient, and strategically secured​ business intelligence platform for market regulation.​

Against the backdrop of significantly slowing global economic growth, China's economy has transitioned into a ​​"new normal" stage focused on quality-driven transformation. By harnessing ​regional industrial macroeconomic big data, this framework leverages artificial intelligence to establish ​economic analysis models​ for industrial operations monitoring platforms, delivering ​data-backed decision-making support​ to regulatory bodies.

Leveraging internal bank data on credit card customers—transactions, billing, and overdue payments—this method applies multiple algorithms to uncover latent patterns, build a default identification model, and predict default rates.

Building on ​data storage capabilities​ of the Energy & Power Production Data Center and ​6+1 System, this scenario enables ​value extraction from operational data​ (e.g., production, marketing, finance, HR) to support ​data-driven decision support.