This invention relates to the field of redundancy
verification technology, specifically to an on-board intelligent AI
data processing method for a dual-
machine cold
backup architecture, comprising the following steps: acquiring the task
record sequence of the primary and
backup channels, excluding paths based on node misalignment, identifying sequence difference segments, locating the corresponding structure, extracting cache pages and jump instructions to determine the connection direction, completing the jump chain, comparing variable paths to replace differing addresses, and inserting access numbers to complete the scheduling structure. In this invention, path filtering is performed based on the response timing differences of the primary and
backup channels, structural matching is completed by combining the scheduling index and node misalignment relationships, the task segment order is located according to the primary task arrangement, jump breakpoints are extended according to page number trends, adjacent page directions guide jump chain completion, variable paths are filtered and replaced based on address consistency to construct path mapping, and the path access order is referenced to the scheduling
rhythm to complete the structural connection. The task sequence maintains consistency in path
continuation, jump connection, and variable path distribution.