A method of tracing the cause

A technology of reason and reason group, applied in the field of computer artificial intelligence, can solve the problems of long traceability process, low efficiency, high requirements for discrimination technology, etc., and achieve the effect of saving investigation time and improving efficiency

Active Publication Date: 2019-05-21
章斌
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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Effect test

Embodiment 1

[0042] Such as figure 1 A kind of cause tracing method of the present invention shown, comprises the following steps:

[0043] S1: Initialize the causality knowledge base. The causality knowledge base includes the abnormal phenomenon of a class of objects and the cause of the abnormal phenomenon, as well as the causal relationship between the abnormal phenomenon and the cause of the abnormal phenomenon. The class of objects is Common objects that have been recognized are events that follow natural laws and have been recognized by humans in the real world and the virtual world. They can be events such as wind and rain, or events in the virtual environment. Events, such as program crashes or transmission failures, etc.;

[0044] The causal relationship knowledge base is a data set conforming to specific structural rules in artificial intelligence technology. The present invention only provides the constituent elements of the causal relationship knowledge base, the relationship ...

Embodiment 2

[0054] On the basis of the method for tracing the cause described in Embodiment 1, the step S2 is specifically: sequentially select the currently known abnormal phenomenon, establish a new cause group, record the traced reason, and establish a new phenomenon group to build a new causal relationship knowledge base.

[0055] The process of creating a new reason group and recording the traced reasons is as follows:

[0056] Group the abnormal phenomena in the current confirmation state: the first phenomenon group is the confirmed abnormal phenomenon, the second phenomenon group is the confirmed non-occurrence phenomenon, and the remaining unconfirmed phenomenon status is the third phenomenon group. In a preferred embodiment, when the current first phenomenon group is missing, that is, when there is no input confirmation phenomenon, the current third phenomenon group is used instead, and the first phenomenon group at this time is copied from the third phenomenon group. The three-...

Embodiment 3

[0065] On the basis of the cause tracing method described in the above embodiment, the "result information" also includes the corresponding causal relationship between the phenomenon group that has been confirmed and the cause that has been traced, but the result information does not Limited to this, it is also possible to output the causality knowledge base and the data generated in the traceability process according to the needs of the user, which can be changed according to actual usage conditions. Step S3 is responsible for outputting the traceability of the cause as the last step of the present invention. result. The reason being traced back is the necessary output content of step S3. At the same time, due to different usage requirements, the output content and functions of S3 can also be richer:

[0066] (1) While outputting the cause and result, output all abnormal phenomena confirmed during the traceability process, which can help users use other technical methods to v...

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Abstract

The present invention relates to a cause tracing method, comprising the following steps: S1: Initializing a causal relationship knowledge base, the causal relationship knowledge base includes an abnormal phenomenon of a class of objects, the cause of the abnormal phenomenon, and the relationship between the abnormal phenomenon and its cause S2: Select the abnormal phenomena in the current known state from the list of abnormal phenomena, form a new causal relationship knowledge base according to the causal relationship in the causal relationship knowledge base and record the traceable reasons; S3: Output traceability As the result information, the present invention can quickly find the cause of the abnormal phenomenon, because the different types of objects can be machinery, computer programs or various repeated specific events in various industries, so the present invention can be used for various industries. Quickly find the cause of the abnormal situation, let the user solve the problem according to the corresponding reason, save the user's own investigation time, make the production or things quickly return to normal, and improve efficiency.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/21G06F16/25
CPCG06F16/21G06F16/25G06F16/00
Inventor 章斌
Owner 章斌
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