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Idler fault diagnosis method, system and storage medium based on big data technology

A big data technology and fault diagnosis technology, which is applied in the direction of transportation and packaging, conveyor objects, conveyor control devices, etc., can solve problems such as the inability to quickly and efficiently judge idler faults, reduce impact, improve safety, and improve The effect of accuracy

Active Publication Date: 2022-04-08
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings in the prior art that the characteristics of the audio signal are not fully utilized and cannot quickly and efficiently judge the fault of the idler, and provide an easy-to-implement, efficient operation-based idler fault diagnosis method based on big data technology , system and storage media, combining the in-depth analysis of audio data with the intelligent identification and judgment of the logistic regression model to realize real-time diagnosis of idler faults

Method used

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  • Idler fault diagnosis method, system and storage medium based on big data technology
  • Idler fault diagnosis method, system and storage medium based on big data technology
  • Idler fault diagnosis method, system and storage medium based on big data technology

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Embodiment 1

[0050] Such as figure 1 As shown, this embodiment provides a method for diagnosing idler faults based on big data technology, including the following steps:

[0051] S1, collect the audio data of the roller;

[0052] S2, extracting features of the audio data; the features of the audio data specifically include one or any combination of sharpness, noise annoyance, and speech interference level;

[0053] S3, the characteristics of the audio data are input into the trained logistic regression model, and the logistic regression model recognizes the running state of the idler;

[0054] S4, if the idler is running abnormally, perform alarm, monitoring or control operations; if the idler is running normally, complete the fault diagnosis of the idler at the current moment, and perform step S5;

[0055] S5, update the time, repeatedly execute step S1 to step S4, and carry out idler fault diagnosis at the next time.

[0056] In this embodiment, a large amount of audio data is collected...

Embodiment 2

[0093] Such as Figure 4 As shown, this embodiment provides an idler fault diagnosis system based on big data technology, and the idler fault diagnosis system based on big data technology described below and the idler fault diagnosis method based on big data technology described above can interact with each other Corresponding reference.

[0094] see Figure 4 As shown, the system includes the following modules connected in sequence: data acquisition module, feature extraction module, logistic regression model module and monitoring module;

[0095] In this embodiment, the data acquisition module is used to collect the audio data of the idler; the feature extraction module is used to extract the characteristics of the audio data; the logistic regression model module is used to identify the running state of the idler according to the characteristics of the audio data; the monitoring module uses It is used to perform alarm, monitor or control actions based on the identification...

Embodiment 3

[0100] Corresponding to the above method embodiment, this embodiment also provides a readable storage medium. The readable storage medium described below can correspond to the idler fault diagnosis method based on big data technology described above. refer to.

[0101] A readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the idler fault diagnosis method based on big data technology in the above method embodiment are realized.

[0102] Specifically, the readable storage medium may be a U disk, a mobile hard disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and other storage devices that can store program codes. Read storage media.

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Abstract

The invention discloses a fault diagnosis method, system and storage medium for idler rollers based on big data technology. The method for diagnosing idler faults based on big data technology includes the following steps: S1, collecting idler audio data; S2, extracting features of the audio data; the features of the audio data specifically include sharpness, noise annoyance, and speech disturbance level One or any combination; S3, the features of the audio data are input into the trained logistic regression model, and the logistic regression model identifies the running state of the idler; S4, if the idler runs abnormally, alarm, monitor or control operations are performed; If the idler runs normally, complete the idler fault diagnosis at the current moment, and perform step S5; S5, update the moment, repeat steps S1 to S4, and perform idler fault diagnosis at the next moment. The invention can realize real-time diagnosis of idler failure, and is easy to implement, low in cost, and low in algorithm complexity.

Description

technical field [0001] The invention relates to the field of fault diagnosis of conveyor rollers, in particular to a method, system and storage medium for fault diagnosis of rollers based on big data technology. Background technique [0002] Belt conveyors are used to transport materials and are an important part of the industrial production process. Belt conveyors can form efficient transportation lines, improve industrial production efficiency, and reduce labor intensity of workers. They are widely used in mining, electric power, docks and other industries. The belt conveyor runs under load for a long time, and various failures are prone to occur, such as: idler damage, belt tearing, etc. Among them, idler failure is one of the main reasons for belt conveyor downtime. The idler roller is an important running part of the belt conveyor, with a large number (a group of about 1 to 3 meters), which mainly plays the role of supporting the belt and bearing and reducing the runn...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B65G43/06
Inventor 刘娟罗辛程雪峰黄学达
Owner CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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