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Equipment exception index determination method and device, equipment and storage medium

A technology for determining indicators and abnormal equipment, applied in the field of data processing, can solve problems such as consuming a lot of time and labor costs, incomplete health, and reducing the efficiency of equipment troubleshooting, so as to improve efficiency and save time and labor costs.

Active Publication Date: 2020-09-25
BEIJING YOUTEJIE INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in order to monitor whether the equipment is running normally, key indicators are usually manually selected, and the weights of the indicators are manually configured to calculate the health of the equipment. However, this method requires maintenance personnel to have certain experience, and the weight configuration process involves human factors. Many, the determined health degree is not comprehensive, and the health degree only indicates that the equipment has failed, but the specific cause of the failure still needs to be checked by maintenance personnel, so it takes a lot of time and labor costs, reducing the Equipment Troubleshooting Efficiency

Method used

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  • Equipment exception index determination method and device, equipment and storage medium
  • Equipment exception index determination method and device, equipment and storage medium
  • Equipment exception index determination method and device, equipment and storage medium

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Experimental program
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Embodiment 1

[0027] figure 1 It is a flowchart of a method for determining an abnormal indicator of equipment provided in the first embodiment of the present invention. This embodiment is applicable to the situation of troubleshooting equipment failures. The method can be executed by the apparatus for identifying abnormal indicators in the embodiment of the present invention. It can be implemented in software and / or hardware. Such as figure 1 As shown, the method specifically includes the following operations:

[0028] Step 101: Input the index vector of the device into a pre-trained multi-dimensional index model to obtain a set of reconstruction probabilities.

[0029] Among them, the reconstruction probability set includes the reconstruction probability corresponding to each index. The reconstruction probability is used to indicate the degree of restoration of the index by the multi-dimensional index model. The greater the reconstruction probability, the greater the degree of restoration of t...

Embodiment 2

[0045] figure 2 This is a flowchart of a method for determining an abnormal indicator of a device according to the second embodiment of the present invention. This embodiment is based on the above-mentioned embodiment. In this embodiment, after determining the abnormal indicator according to the reconstruction probability set, it further includes: Alarm prompt. Correspondingly, the method of this embodiment specifically includes the following operations:

[0046] Step 201: Input the index vector of the device into a pre-trained multi-dimensional index model to obtain a set of reconstruction probabilities.

[0047] Among them, the reconstruction probability set includes the reconstruction probability corresponding to each index. The reconstruction probability is used to indicate the degree of restoration of the index by the multi-dimensional index model. The greater the reconstruction probability, the greater the degree of restoration of the index, and the input index. The more no...

Embodiment 3

[0059] image 3 This is a schematic structural diagram of a device for determining an equipment abnormality index provided in the third embodiment of the present invention. The device includes: a reconstruction probability set acquisition module 301, a health score acquisition module 302, and an abnormal index determination module 303.

[0060] Wherein, the reconstruction probability set acquisition module 301 is configured to input the index vector of the device into the pre-trained multi-dimensional index model to obtain the reconstruction probability set, where the reconstruction probability set includes the reconstruction probability corresponding to each index;

[0061] The health score obtaining module 302 is configured to obtain the health score of the device according to the reconstruction probability set;

[0062] The abnormal index determination module 303 is used to determine the abnormal index according to the reconstruction probability set when the device is operating abn...

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Abstract

The embodiment of the invention discloses an equipment exception index determination method and device, equipment and a storage medium. The method comprises the steps of inputting index vectors of equipment into a pre-trained multi-dimensional index model to obtain a reconstruction probability set, wherein the reconstruction probability set comprises reconstruction probabilities corresponding to all indexes; obtaining a health degree score of the equipment according to the reconstruction probability set; and when determining that the equipment operates abnormally according to the health degreescore, determining an abnormal index according to the reconstruction probability set. According to the method, the health degree score can be directly obtained according to the index vector of the equipment, and the abnormal index causing the equipment fault can be quickly positioned under the condition of determining the equipment fault according to the health degree score, so that the time andlabor cost consumed by equipment fault troubleshooting are saved, and the equipment fault troubleshooting efficiency is improved.

Description

Technical field [0001] The embodiments of the present invention relate to the field of data processing technology, and in particular, to a method, device, device, and storage medium for determining equipment abnormality indicators. Background technique [0002] With the continuous improvement of information construction, more and more business operations are mainly implemented on equipment. In order to ensure the safety of business realization, it is necessary to monitor the operating status of equipment to ensure the safety and reliability of equipment operation. [0003] At present, in order to monitor whether the equipment is operating normally, manual methods are usually used to select key indicators, and manually configure the weights of the indicators to calculate the health of the equipment, but this method requires maintenance personnel to have certain experience, and the weight configuration process involves more human factors. Many, the determined health level is not comp...

Claims

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Application Information

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IPC IPC(8): G06F11/34G06F11/32G06F21/55G06F21/57G06N3/04
CPCG06F11/3447G06F11/3433G06F11/327G06F21/552G06F21/577G06N3/045G06N3/044
Inventor 饶琛琳梁玫娟
Owner BEIJING YOUTEJIE INFORMATION TECH