The application relates to a multi-
modal intention analysis and
time data service arrangement method and related equipment, and relates to the technical field of service arrangement. The method normalizes heterogeneous signals such as voice, text and images into an intention intermediate representation containing core entities, business time constraints, domain
semantics and capability dependencies. According to the time constraints and semantic positioning of the
Satellite attribute history of a Data Vault, a time point
recovery rule is generated to obtain a
time data snapshot. Then, a task chain is generated according to a service arrangement strategy and capability dependency, a plurality of types of capability services are called in
cascade, and an aggregated context and multi-dimensional feedback are output. When the feedback is lower than a threshold value, the analysis parameters,
semantic mapping and arrangement strategy are updated reversely, and the generation is re-performed until the threshold value is reached. The application solves the problems that multi-
modal input is difficult to bear, a time section is easy to be distorted, and capability arrangement cannot be self-adaptive. Meanwhile, the
system has a self-correction capability during operation, and the stability and self-evolution capability of an intelligent
service gateway during long-period operation are improved.