Intelligent AI data processing method on satellite of dual-computer cold backup architecture

By identifying and filtering the primary and backup task node paths, locating the task sequence difference segments, connecting adjacent page jump paths, and replacing the variable path difference content, the problem of task continuity and logical execution inconsistency in the traditional dual-machine cold backup architecture is solved, and the continuity and consistency of task scheduling are achieved when the primary channel is abnormal.

CN122173338APending Publication Date: 2026-06-09BEIJING NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING NORMAL UNIVERSITY
Filing Date
2026-02-14
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In traditional dual-machine cold backup architecture, node timing disturbances during task scheduling cannot be detected, and task chain connections lack structural mapping basis, resulting in inconsistent task continuity and logical execution, especially when the main channel is abnormal, it is impossible to effectively switch to the cold backup channel.

Method used

By acquiring the task record sequences of the primary channel and the cold standby channel, we can identify node pairs where the cold standby channel responds earlier than the primary channel, filter the primary and standby task node paths, locate the task sequence difference segments, connect the adjacent page jump paths, replace the variable path difference content, and construct a task continuation scheduling structure.

Benefits of technology

It ensures the continuity of task scheduling and the coherence of logical execution when the main channel is abnormal, guarantees smooth switching of data processing paths and consistency of variable paths, and improves the task processing capability of the dual-machine cold backup architecture.

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Abstract

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.
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