The invention discloses a digital twin AI agent-based intermediate
station rapid application development method,
system and device, and a storage medium, and relates to the technical field of application development and operation and
maintenance management, and the method comprises the steps: analyzing a
static data format and an interaction demand according to a business scene, and constructing a
static data format standard and a
static data transmission rule based on an intermediate
station; based on a static
data format standard and a static
data transmission rule, decomposing a
service demand, and establishing a service
processing flow; and business link operation data is acquired based on the business
processing flow, the AI analysis model is accessed to a middle
station, modeling and reasoning are performed on the business link operation data, and
dynamic monitoring is performed on the business
processing flow. According to the method, by constructing the static
data format standard and the transmission rule, unified access and standard processing of multi-source heterogeneous data are achieved; modeling and reasoning are carried out on the operation data by accessing the AI analysis model,
dynamic monitoring and anomaly recognition of the
service process are achieved, and the operation
controllability and the
intelligent decision-making level are improved.