Reason tracing method

Abstract

The invention relates to a reason tracing method. The method comprises the following steps: step S1, initializing a causal relationship knowledge base, wherein the causal relationship knowledge base comprises an abnormal phenomenon of a class of objects and the cause of the abnormal phenomenon, and a causal relationship between the abnormal phenomenon and the reason; step S2, selecting a current abnormal phenomenon with a known state in an abnormal phenomenon list, and forming a new causal relationship knowledge base and recording traced reasons according to a causal relationship in the causal relationship knowledge base; and step S3, outputting the traced reasons and taking the reasons as result information. The reason tracing method provided by the invention can quickly find out the reasons behindthe abnormal phenomenon, since different kinds of objects can be machinery, computer programs or all kinds of repeated specific events of all walks of life, so that the reason tracing method can be used for quickly finding out reasons of unusual conditions in all walks of life, so that users can solve the problems aiming at corresponding reasons, the time of the user's own investigation can be saved, thus the production or the things can be quickly returned to normal, and the efficiency can be improved.

Description

technical field [0001] The invention relates to a cause tracing method, which belongs to the technical field of computer artificial intelligence. Background technique [0002] In a class of fully recognized object systems, each specific entity object has the commonality of this class, and the occurrence of each cause will cause a (group) effect (or phenomenon) to occur, and the effects caused by different causes ( or phenomenon) will be different, and this difference is an important feature and basis for distinguishing different causes. [0003] For a class of objects that have been recognized, when an abnormal or unexpected effect (or phenomenon) occurs in a physical object, in order to restore it to normal or try to reproduce the accident again, it is necessary to correct the effect that caused the abnormal or unexpected Tracing the cause of the phenomenon (or phenomenon), on the one hand, it can solve the problem from the root, and achieve the effect (or phenomenon) of e...

AI Technical Summary

Problems solved by technology

Most of the existing traceability methods involve the traceability of a single event or a certain accident, and its application is relatively narrow and cannot be used universally. For example, some traceability methods use a tree structure for traceability, in which each internal node represents a test on an attribute , each branch represents a test output, and each leaf node represents a category. When tracing the cause of the leaf node, if a branch condition is found to be inconsistent, it needs to return to the upper branch node and select other branches to continue tracing the leaf node. The traceability process takes a long time and is not efficient

At the same time, the technical requirements for making judgments are relatively high, which increases the difficulty of popularization and use

To trace the cause of different objects, it is necessary to write a special tree node condition and use it, and the generality of the method is not strong

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