This invention discloses a cross-platform intelligent task
processing system and method based on a cloud-local
hybrid architecture, belonging to the fields of
artificial intelligence and
automation technology. It includes: user terminals receiving
natural language instructions through a unified message gateway and sending them to a task
processing hub; the hub dynamically selecting a local or cloud model for semantic understanding and task
decomposition according to a strategy, generating atomic operation descriptions; distributing tasks to heterogeneous target terminals based on device capability maps; each terminal converting the atomic operation descriptions into local
system calls through a cross-platform atomic operation adapter
library and executing them securely, with risky operations executed in a sandbox; communication employing
multiple encryption methods; the hub integrating a billing module for cost
estimation, real-time billing, and budget control; and the hub feeding back execution results to the original message channel through a unified message gateway. This invention ensures
data security through
intelligent planning and privacy separation, decouples the core architecture from the deployment form, and supports multiple deployment forms and cross-platform
collaboration.