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A big data processing method, system and computer-readable storage medium

A big data processing and data technology, applied in the field of big data analysis, can solve the problem of inability to accurately and effectively predict the health degree, inability to accurately and intuitively predict faults, and inability to intuitively and effectively obtain the change status and trend analysis of equipment and system health degree. Results and other issues to achieve the effect of accurate and effective health prediction

Active Publication Date: 2021-01-01
云科(山东)电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing methods cannot achieve accurate and effective health prediction, cannot accurately and intuitively predict faults, and cannot intuitively and effectively obtain health changes and trend analysis results of equipment and systems

Method used

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  • A big data processing method, system and computer-readable storage medium
  • A big data processing method, system and computer-readable storage medium
  • A big data processing method, system and computer-readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] see figure 1 As shown, a big data processing method provided by Embodiment 1 of the present invention mainly includes:

[0049] Step 101, obtaining time-series historical data of each target object in the target system to be analyzed, where the target system includes at least one target object.

[0050] The embodiment of the present invention does not limit the specific content and form of the target system. The target system in the embodiment of the present invention can be a large-scale data or device system composed of multiple subsystems, or a single subsystem in the target system. It can also be for a device or system that operates independently. For example: the target system can be an overall system composed of the core control system, power supply system, HVAC system, etc., or just one of the core control system, power supply system, and HVAC system; , power supply system, HVAC system, etc., the core control system, power supply system, and HVAC system can be ...

Embodiment 2

[0075] Such as figure 2 As shown, the big data processing method provided in Embodiment 2 of the present invention, after step 103 in Embodiment 1 above, further includes:

[0076] Step 104, determine potential fault source information according to health degree information analysis. Specifically:

[0077] Fault source information corresponding to each order of fault symptoms in the transition probability matrix of preset multi-order fault symptoms;

[0078] According to the transition probability matrix of the multi-order fault symptom corresponding to the health degree, the probability information of the target fault caused by the corresponding fault source is calculated.

[0079] Analyze the health curve of the target system. If the changing trend of the response in the health curve and the value of the health degree meet the preset failure warning conditions, it is determined that there is a potential failure risk. In practical applications, the fault source informatio...

Embodiment 3

[0081] Corresponding to the big data processing method of the embodiment of the present invention, the embodiment of the present invention also provides a big data processing system, such as image 3 As shown, the system mainly includes:

[0082] A historical data obtaining unit 10, configured to obtain time-series historical data of each target object in the target system to be analyzed, where the target system includes at least one target object;

[0083] The symptom occurrence probability obtaining unit 20 is used to calculate the transition probability of the multi-order fault symptom corresponding to each target object according to the obtained time series historical data of each target object in the target system;

[0084] The health degree information obtaining unit 30 is configured to calculate and obtain the health degree information of the target system according to the transition probabilities of the multi-stage fault symptoms corresponding to each target object.

...

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Abstract

The invention discloses a big data processing method and system and a computer readable storage medium, and the method comprises the steps: obtaining the time sequence historical data of each target object in a to-be-analyzed target system, wherein the target system comprises at least one target object; calculating the transition probability of the multi-order fault symptom corresponding to each target object according to the obtained time sequence historical data of each target object in the target system; and calculating and obtaining health degree information of the target system accordingto the transition probability of the multi-order fault symptom corresponding to each target object. By implementing the method and the device, accurate and effective system health degree prediction can be realized.

Description

technical field [0001] The present invention relates to the technical field of big data analysis, in particular to a big data processing method, system and computer-readable storage medium. Background technique [0002] Health detection for equipment and systems is an important task in equipment and system maintenance. In the prior art, a timing detection method is usually used to judge and predict faults directly based on the results of measurement parameters. Existing methods cannot achieve accurate and effective health prediction, cannot accurately and intuitively predict faults, and cannot intuitively and effectively obtain health changes and trend analysis results of equipment and systems. Contents of the invention [0003] In view of this, the present invention provides a big data processing method, system and computer-readable storage medium to at least solve the above technical problems existing in the prior art. [0004] One aspect of the present invention provi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/903G06F16/9038G06Q10/04
CPCG06Q10/04G06F16/903G06F16/9038
Inventor 籍宏飞徐鹏李彬姜丛斌侯博伟
Owner 云科(山东)电子科技有限公司
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