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Equipment fault prediction method based on conditional probability

A technology of equipment failure and prediction methods, applied in prediction, computer parts, instruments, etc., can solve problems such as emergency accidents and production efficiency damage, prediction, expensive accidents and maintenance costs, and achieve the effect of improving reliability

Pending Publication Date: 2021-03-12
智昌科技集团股份有限公司
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

Unscheduled shutdowns due to failures can create emergencies and disrupt productivity
Unable to predict potential failures, resulting in costly accidents and repair costs, resulting in lost production

Method used

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  • Equipment fault prediction method based on conditional probability
  • Equipment fault prediction method based on conditional probability

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Embodiment Construction

[0034] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0035] figure 1 Shown is the flow chart of the present invention to establish equipment fault prediction model, the establishment method of equipment fault model provided by the present invention mainly comprises the following steps:

[0036] (1) Use the data acquisition system to collect the operating data of the equipment in real time.

[0037] (2) Classify and save the operation data.

[0038] The edge gateway analyzes and processes the operation data, and divides the...

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Abstract

The invention provides an equipment fault prediction method based on conditional probability, and the method mainly comprises the steps: collecting the operation data of equipment in real time, carrying out the classification of the operation data, generating a fault data report, and storing the fault data report in a database; establishing an equipment fault prediction model according to the fault data report; and performing fault prediction according to the established equipment fault prediction model to generate fault prediction data. According to the conditional probability-based equipmentfault prediction method provided by the invention, a production and manufacturing execution system not only has an equipment historical fault data report, but also can pre-judge the running state ofproduction equipment in a future period of time, so that the reliability of the production and manufacturing execution system is improved; and the production equipment can stably and efficiently execute production and manufacturing.

Description

technical field [0001] The invention relates to the field of equipment failure prediction, in particular to an equipment failure prediction method based on conditional probability. Background technique [0002] In the manufacturing industry, the data acquisition system collects the fault data of the production equipment in the workshop, and uploads the data to the manufacturing execution system through the gateway. The manufacturing execution system saves the fault data of the production equipment locally and forms a report of the fault data of the production equipment within the time range. . In the context of intelligent manufacturing, production equipment fault data reports can only summarize and display historical production data, and cannot predict the operating status of equipment in a future period, and cannot meet the conditions of intelligent manufacturing. Therefore, the manufacturing execution system needs a method to use the historical fault data of the producti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/04G06K9/62
CPCG06Q10/04G06Q50/04G06F18/24Y02P90/30
Inventor 张路路
Owner 智昌科技集团股份有限公司
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