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Predictive industrial equipment maintenance method and maintenance system based on edge computing

A technology of industrial equipment and edge computing, which is applied in the direction of prediction, calculation, and instrumentation, can solve problems such as lack of algorithms and modeling methods, poor practicality, and unpredictable maintenance, so as to avoid invalid manual operations and facilitate automation Operation and realization of the effect of predictive maintenance

Inactive Publication Date: 2019-04-16
成都航天科工大数据研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the practical application of this technology only stays in elevator-like living equipment and agricultural machinery-like agricultural production equipment, and its practicability in industrial production environments is not strong, and it lacks algorithms and building blocks suitable for industrial production and parts manufacturing equipment. Therefore, it cannot effectively provide predictive maintenance for manufacturing production equipment in industrial production.

Method used

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  • Predictive industrial equipment maintenance method and maintenance system based on edge computing
  • Predictive industrial equipment maintenance method and maintenance system based on edge computing

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Effect test

Embodiment 1

[0034] This embodiment provides a predictive industrial equipment maintenance method based on edge computing, including the following steps:

[0035] S1: Collect industrial data of industrial equipment, and then realize the aggregation of industrial data through data optimization to obtain industrial data with unified data structure and data type. It should be noted that in step S1, the industrial data can be the data of each phase when the industrial equipment is running, which is mainly PLC data, but also includes data in many other formats. The industrial data can be collected by using KEPWARE software, or It can be realized by using SimaticNet software, among which KEPWARE software is suitable for industrial automation. In addition, due to the large amount of diverse and heterogeneous data in the industrial field, data aggregation can be achieved through data optimization, and the data structure and data type can be unified to facilitate subsequent data processing.

[003...

Embodiment 2

[0044] This embodiment provides a predictive industrial equipment maintenance method based on edge computing, including the following steps:

[0045] S1: Collect industrial data of industrial equipment, and then realize the aggregation of industrial data through data optimization to obtain industrial data with unified data structure and data type. It should be noted that in step S1, the industrial data can be the data of each phase when the industrial equipment is running, which is mainly PLC data, but also includes data in many other formats. The industrial data can be collected by using KEPWARE software, or It can be realized by using SimaticNet software, among which KEPWARE software is suitable for industrial automation. In addition, due to the large amount of diverse and heterogeneous data in the industrial field, data aggregation can be achieved through data optimization, and the data structure and data type can be unified to facilitate subsequent data processing.

[0046]...

Embodiment 3

[0054] This embodiment provides a predictive industrial equipment maintenance method based on edge computing, including the following steps:

[0055] S1: Collect industrial data of industrial equipment, and then realize the aggregation of industrial data through data optimization to obtain industrial data with unified data structure and data type. It should be noted that in step S1, the industrial data can be the data of each phase when the industrial equipment is running, which is mainly PLC data, but also includes data in many other formats. The industrial data can be collected by using KEPWARE software, or It can be realized by using SimaticNet software, among which KEPWARE software is suitable for industrial automation. In addition, due to the large amount of diverse and heterogeneous data in the industrial field, data aggregation can be achieved through data optimization, and the data structure and data type can be unified to facilitate subsequent data processing.

[005...

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Abstract

The invention relates to the technical field of industrial information collection and analysis, and aims to provide a predictive industrial equipment maintenance method and maintenance system based onedge computing. The invention discloses a predictive industrial equipment maintenance method based on edge calculation. The method comprises the following steps: S1, collecting industrial data; S2, preprocessing the industrial data to obtain standard industrial data; S3, performing feature selection to obtain a final feature; S4, constructing an abnormity detection model, inputting the standard industrial data and the final features into the abnormity detection model, and carrying out abnormity detection on the standard industrial data; and S5, constructing a fault prediction model, judging whether the industrial equipment corresponding to the standard industrial data has a fault or not, if yes, issuing early warning information, and if not, entering the step S1. A maintenance system comprises industrial equipment, an edge gateway and a server which are sequentially connected. Predictive maintenance of industrial equipment can be achieved, invalid manual operation is avoided, and automatic operation is facilitated.

Description

technical field [0001] The invention relates to the technical field of collection and analysis of industrial information, in particular to a predictive industrial equipment maintenance method and maintenance system based on edge computing. Background technique [0002] In the process of industrial production, equipment maintenance is an essential work. However, in the current process of equipment maintenance, it is usually to wait until the device reports a fault or finds that it is not working properly, and then manually check and verify the industrial equipment in real time. This method cannot perform predictive maintenance on industrial equipment and is difficult to meet Requirements for equipment maintenance under current technical conditions. [0003] In the existing technology, for the predictive maintenance of industrial equipment, Huawei cloud technology has appeared. HUAWEI CLOUD realizes equipment data collection and analysis, edge computing preprocessing, cloud ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q10/04
CPCG06Q10/04G06Q10/20
Inventor 祝守宇张辉熊楗洲刘勇王开业樊妍睿马波涛朱芝濡
Owner 成都航天科工大数据研究院有限公司
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