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Fault analysis method and system, electronic equipment and storage medium

A fault analysis method and fault analysis technology, applied in the computer field, can solve problems such as inability to predict equipment faults, difficult equipment fault location, etc., and achieve the effects of low human interference noise and improved accuracy

Active Publication Date: 2019-12-03
NEUSOFT MEDICAL SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a fault analysis method and system, electronic equipment, and storage media to solve the problem that in the prior art, it is difficult to accurately locate the fault of the device through the individual analysis of each information code and artificial design of fault diagnosis methods of various rules. , not to mention the defects that can not realize the prediction of equipment failure

Method used

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  • Fault analysis method and system, electronic equipment and storage medium
  • Fault analysis method and system, electronic equipment and storage medium
  • Fault analysis method and system, electronic equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0079] This embodiment provides a fault analysis method, including the analysis of the operational reliability of the equipment, the fault prediction of the equipment, and the fault diagnosis of the equipment. The historical error code data of the system above), and by objectively mining and analyzing the error codes of each device, multiple sets of regular feature code groups consisting of at least two error codes are obtained. The feature code groups carry more More equipment operation status information can better express the operation characteristics of the equipment. With the help of the feature code group to analyze the operation status of the equipment, the fault prediction of the equipment can be realized, and the accuracy of fault diagnosis can be improved.

[0080] It should be noted that when mining and analyzing error codes, it is necessary to isolate these historical error codes according to the ownership of the device, that is, each device forms an independent his...

Embodiment 2

[0132] Embodiment 2 is basically the same as Embodiment 1, the difference is that in step 102 of the fault analysis method of Embodiment 1, the characteristic code group is mined for the frequency dimension of error code occurrence within the preset analysis time period, and in this embodiment, for two adjacent The feedback time interval dimension of error codes mines feature code groups to mine the regular correlation of error codes in feedback time intervals.

[0133] Such as Figure 4 As shown, step 102 specifically includes:

[0134] Step 102-1", take an error code from the historical error code data as the central code, and obtain all other error codes within the preset analysis time period before the feedback time point of the central code.

[0135] Step 102-2", listing the combination of the center code and all other error codes obtained in step 102-1", forming an error code group.

[0136] Step 102-3", calculating the time interval between the feedback time points of...

Embodiment 3

[0155] This embodiment provides a fault analysis system, such as Figure 5 As shown, the fault analysis system includes: a data acquisition module 1 , a combination module 2 , a selection module 3 and an analysis module 4 .

[0156] The data acquisition module 1 is used to acquire historical error code data fed back by the equipment. Wherein, the historical error code data includes multiple error codes and the feedback time point of each error code, which is the data basis for running feature mining. Multiple error codes are arranged in the order of the feedback time points, so that the feature mining of subsequent operations can be processed sequentially. Taking the medical equipment as an example, the historical error code data here is obtained from all large medical equipment of each medical functional department. These historical error code data will be isolated according to the ownership of the device, each device will form an independent historical error code data set,...

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Abstract

The invention discloses a fault analysis method and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring historical error code data fed back by equipment; wherein the historical error code data comprises a plurality of error codes and feedback time points of the error codes; combining the error codes to form error code groups, and counting a firstnumber of each type of error code groups; selecting a feature code block from the multiple types of error code blocks according to the first number; and performing fault analysis on the equipment according to the feature code group. Error codes in historical error code data of a large number of devices are combined and analyzed. The invention is advantaged in that the characteristic code block capable of objectively and accurately reflecting equipment operation characteristics is acquired, man-made interference noise is small, on the basis of equipment fault analysis, tracking analysis on theerror code currently fed back by the equipment is carried out, equipment fault diagnosis accuracy can be improved, equipment faults can be predicted, and equipment operation reliability is further analyzed.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a fault analysis method and system, electronic equipment, and a storage medium. Background technique [0002] In order to keep abreast of the malfunctions of the equipment, design corresponding error codes for the abnormalities in the actions performed by the equipment or components. Taking large-scale medical equipment as an example, because of its complex structure and working principle, and the fact that the equipment will be in a high-pressure, high-heat and high-speed state from time to time when performing medical functions, therefore, for each action or every operation in the entire life cycle of large-scale medical equipment The corresponding error code will be designed for the abnormal situation of each component. Fault diagnosis is carried out through a certain error code fed back by large medical equipment. [0003] In the existing technology, the fault location mo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/07
CPCG06F11/079
Inventor 蒿李阳
Owner NEUSOFT MEDICAL SYST CO LTD