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Vibration data processing method and system, model training method and system and detection method and system of lifting equipment

A technology for lifting equipment and vibration data, applied in elevators, character and pattern recognition, instruments, etc., can solve the problems of low fault judgment accuracy, single data, large deviation, etc., to improve fault judgment accuracy and comprehensive diagnosis range. , the effect of avoiding downtime failures

Pending Publication Date: 2021-08-17
SHANGHAI ELECTRICGROUP CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] The technical problem to be solved by the present invention is to overcome the defects in the prior art that the detected data is single, the diagnostic range is not comprehensive enough, the accuracy of fault judgment is not high, the deviation is large relative to the actual situation, and the specific fault type cannot be distinguished, and a Vibration data processing, model training, detection method and system of lifting equipment

Method used

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  • Vibration data processing method and system, model training method and system and detection method and system of lifting equipment
  • Vibration data processing method and system, model training method and system and detection method and system of lifting equipment
  • Vibration data processing method and system, model training method and system and detection method and system of lifting equipment

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Effect test

Embodiment 1

[0081] This embodiment provides a method for processing real-time operation data of fixed lifting equipment. refer to figure 1 , the processing method of the real-time operation data of the fixed lifting equipment includes:

[0082] S11. Obtain vibration data generated by the fixed lifting equipment during operation through the vibration sensor. Wherein, the fixed lifting device may be an elevator car, and the vibration data includes the vibration acceleration data in the X-axis, Y-axis and Z-axis directions generated by the elevator car during operation.

[0083] S12. Obtain target data. The target data is the data of the constant speed section obtained by segmenting the vibration data according to the running state of the fixed lifting equipment, and the data of the constant speed section is the vibration data when the fixed lifting equipment is in a constant speed running state. Among them, the operating state of the fixed lifting equipment includes an upward running acce...

Embodiment 2

[0098] This embodiment provides a model training method. refer to figure 2 , the model training methods include:

[0099] S21. Obtain a feature data set. Each set of data in the feature data set is processed by using the real-time operation data processing method of the fixed lifting equipment in Embodiment 1. Wherein, the feature data set is preferably the data set formed in step S122 of Embodiment 1.

[0100] S221. Obtain the first device state corresponding to each group of data in the feature data set, and mark the data in the feature data set with the first device state to obtain the first marked data set, wherein the first device state is normal or abnormal ; Obtain a health status assessment model based on the first labeled data set training.

[0101]S222. Obtain the second device state corresponding to each group of data in the feature data set, and mark the data in the feature data set with the second device state to obtain the second marked data set, wherein the ...

Embodiment 3

[0125] This embodiment provides a detection method for fixed lifting equipment. refer to image 3 , the detection methods of fixed lifting equipment include:

[0126] S31. Obtain the data to be detected of the fixed lifting device to be detected, the data to be detected is the data obtained after processing the fixed lifting device to be detected by using the processing method of the real-time operation data of the fixed lifting device in Embodiment 1 .

[0127] S32. Input the data to be detected into the health status evaluation model trained based on the model training method in Embodiment 2 to obtain the health status evaluation result of the fixed lifting equipment to be detected. If the health status evaluation result is that the equipment is abnormal, the The data to be detected is input to the fault diagnosis model trained based on the model training method in Embodiment 2 to obtain the equipment fault type of the fixed lifting equipment to be detected. In this embod...

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Abstract

The invention provides a vibration data processing method and system, model training method and system and detection method and system of lifting equipment. The processing method comprises the steps that vibration data generated in the operation process of the fixed lifting equipment are obtained through a vibration sensor; and target data are obtained, the target data are constant-speed segment data obtained by segmenting and extracting the vibration data according to the operation state of the fixed lifting equipment, and the constant-speed segment data are vibration data generated when the fixed lifting equipment is in the constant-speed operation state. According to the methods and systems, the constant-speed segment data capable of accurately reflecting the operation state of the fixed lifting equipment are obtained, a health state evaluation model and a fault diagnosis model are obtained based on training of the constant-speed segment data, the detection result is obtained through the two models, detection data are varied, the diagnosis range is comprehensive, the fault judgment accuracy is improved, the actual situation is met, before a shutdown fault occurs, the abnormal state can be detected, the fault type can be discriminated, maintenance personnel can arrange maintenance strategies conveniently, and the shutdown fault is avoided.

Description

technical field [0001] The invention relates to the technical field of state monitoring and diagnosis of fixed lifting equipment, in particular to a method and system for vibration data processing, model training, and detection of lifting equipment. Background technique [0002] With the increase of high-rise buildings, elevators have increasingly become an indispensable fixed lifting equipment for people. After years of development, the number of elevators in my country has increased significantly and is becoming saturated. With the accumulation of elevator running time, the probability of failure will increase significantly. Since elevator failure is likely to have serious consequences, there are various types of elevator failures, and the equipment parts that cause failures are different. After the elevator fails, the maintenance personnel will carry out on-site The troubleshooting of elevator equipment is time-consuming and laborious, resulting in a huge waste of resour...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B66B5/00B66B5/02G06K9/62
CPCB66B5/0025B66B5/0031B66B5/0037B66B5/02G06F18/2148G06F18/2135G06F18/24323
Inventor 董亚明钟臻怡毛晴杨家荣俞英杰郑斌马骧越
Owner SHANGHAI ELECTRICGROUP CORP