Method and device for monitoring state of AGV, edge equipment and storage medium

A state and abnormal state technology, applied in the field of factory digitization, can solve problems such as large data storage, increased costs, and difficulty in obtaining accurate results

Pending Publication Date: 2020-11-13
SIEMENS FACTORY AUTOMATION ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It will be a huge challenge for edge devices to process and store all the data
[0006] 2. Using insufficient data and simple algorithms, it is difficult to obtain accurate result

Method used

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  • Method and device for monitoring state of AGV, edge equipment and storage medium
  • Method and device for monitoring state of AGV, edge equipment and storage medium
  • Method and device for monitoring state of AGV, edge equipment and storage medium

Examples

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Embodiment Construction

[0042]The subject matter described herein will now be discussed with reference to example implementations. It should be understood that the discussion of these implementations is only to enable those skilled in the art to better understand and realize the subject matter described herein, and is not intended to limit the protection scope, applicability or examples set forth in the claims. Changes may be made in the function and arrangement of elements discussed without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as needed. For example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with respect to some examples may also be combined in other examples.

[0043] As used herein, the term "comprising" and its variants represent open terms meaning "including but not limited to". The ...

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PUM

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Abstract

The invention relates to a method and device for monitoring the state of an AGV, computing equipment and a storage medium. The method comprises the following steps: a first signal acquisition step: acquiring first signal data from an AGV at a first sampling rate, the first signal data at least comprising a vibration signal; a feature extraction step: extracting features from the first signal data;an abnormal state judgment step: determining whether the AGV is in an abnormal state or not based on the extracted features, executing a storage step under the condition that the AGV is determined tobe in a normal state, and executing a second signal acquisition step under the condition that the AGV is determined to be in an abnormal state; a second signal acquisition step: acquiring second signal data from the AGV at a second sampling rate, the second sampling rate being greater than the first sampling rate, and the number of types of the second signal data being equal to or greater than the number of types of the first signal data; and a storage step: storing the collected first signal data or second signal data.

Description

technical field [0001] The present disclosure generally relates to the technical field of factory digitization, and more specifically, relates to a method, device, computing device and storage medium for monitoring the state of an AGV. Background technique [0002] Currently, with the trend of flexible production, AGV (Automatic Guided Vehicle) is widely used. Almost all AGVs have a control system that makes it easy to get error codes in the event of an electronic failure. But most AGVs cannot diagnose mechanical failures on their own. According to the requirements of equipment safety and reliability, it is necessary to monitor and analyze the health status of AGV in real time. Some commercial solutions are to set up an edge computing device on the AGV to collect relevant data and analyze it. Due to the limitation of edge device performance, and in order to ensure real-time diagnosis, the data sampling rate is low, and some simple algorithms are more suitable. Therefore,...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41895G05B2219/31302Y02P90/02Y02P90/60
Inventor 陈俊杰周文晶于禾张海涛龚锦标王琪宋振国张见平张宇乐于庆明李虎
Owner SIEMENS FACTORY AUTOMATION ENG
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