The invention provides a long text-oriented analysis checking method, device and equipment and a storage medium. The checking efficiency and accuracy are remarkably improved through intelligent fragmentation and mixed scheduling. The core of the method is that according to
semantic relevance among text fragments, fragments with reference or dependency are distributed to serial auditing nodes for deep and coherent context
verification, independent fragments are distributed to parallel auditing nodes for concurrent
processing, and therefore the problem of long text semantic segmentation is solved, and meanwhile the content of the text fragments is improved. And the auditing time is greatly shortened from the hour level to the minute level. Besides, the output behavior of the large
language model is restrained by loading a predefined structured
instruction set in the auditing node, so that'illusion 'and misjudgment generated when the model processes complex tables and nested terms are effectively inhibited, and the reliability of a checking result is remarkably improved. The method has flexibility and expandability, and is suitable for automatic and intelligent checking scenes of various professional long texts such as contracts and bid invitation files.