Method for determining safe remaining service life of elevator without maintenance

An elevator and maintenance technology, applied in the field of establishment and algorithm innovation, can solve problems such as increasing the risk of elevator safety accidents

Active Publication Date: 2020-01-07
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the elevator enters the wear-and-tear period, the failure rate of the elevator equipment gradually increases, and the performance of the elevator gradually declines. Wit

Method used

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  • Method for determining safe remaining service life of elevator without maintenance
  • Method for determining safe remaining service life of elevator without maintenance
  • Method for determining safe remaining service life of elevator without maintenance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0177] Method for determining the safe remaining service life of elevators without maintenance:

[0178] The performance of each component in the initial operation stage of the elevator equipment is relatively good, and the operating state is relatively stable. Generally speaking, no maintenance is required. However, once the elevator equipment enters the wear-and-tear period, the reliability of the equipment operation will continue to decline with the accumulation of time. When it falls to a specified threshold, it will exceed the safe remaining service life of the elevator, and the first preventive maintenance of the equipment is required. Before the first preventive maintenance, the safe remaining service life model of the elevator without maintenance can be established, and the time interval from the current moment to the first preventive maintenance can be determined. The model creation process is as follows figure 1 As shown: (1) Monitor the elevator operation indicator...

Embodiment 2

[0245] Method for determining the safe remaining service life of elevators under maintenance conditions:

[0246] The elevator safety remaining service life model in the case of maintenance is to complete the determination of the time interval between two consecutive maintenances on the basis of the established elevator safety remaining service life model in the case of no maintenance The prediction of the elevator performance curve after permanent maintenance, and the determination of the elevator scrapping time and other work. From a theoretical point of view, the influence of maintenance cost and maintenance times on the elevator maintenance time interval and the remaining service life of the elevator is given. In the specific establishment process of the model, the next maintenance time of the elevator is determined by considering the slope of the function, and whether the elevator should be stopped is judged by introducing technical and economic indicators. Flowchart of ...

Embodiment 4

[0290] Model application:

[0291] In order to verify the feasibility of the model, 1000 sample data can be randomly generated based on the normal value range of 17 specific indicators. And assume that the first set of sample data is collected at time 0, and the time interval between two consecutive sets of sample data is 2 hours.

[0292] (1) Data preprocessing and index selection

[0293] In order to avoid the impact of dimensionality on the validity of the model, the original data needs to be preprocessed, that is, each index is dimensionless, and the value of each index is between [0,1]. The degradation function can be introduced here. After converting each index with the degradation function, not only can the data be transformed into [0,1], but they are all positive indicators, that is, the larger the index value, the better the state of the elevator. excellent. The 17 original indicators were transformed into the degree of deterioration according to the type of indica...

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Abstract

The invention discloses a method for determining the safe remaining service life of an elevator without maintenance, belongs to the field of determining the non-scheduled maintenance time interval andremaining service life of the elevator based on big data of elevator operation and maintenance, and relates to the establishment of a model and the innovation of algorithms. According to the technical scheme, the method comprises the following steps of: step (1). monitoring the operating indexes of the elevator; step (2). monitoring samples to classify the health operating states of the elevator;step (3). constructing the life index of the elevator; step (4). predicting the life index based on a BP neural network algorithm; and step (5). determining the safe remaining service life curve of the elevator without maintenance through Weibull distribution. According to the method, an elevator safe remaining service life model which can be used for determining the maintenance time interval andpredicting the remaining service life is established and is relatively practical; and an existing method is optimized and innovated by combining the specific industry background of elevator equipment, so that the model is relatively reliable. The model obtained according to the method is practical and more reliable.

Description

technical field [0001] The invention belongs to the field of determining the irregular maintenance time interval and remaining service life of an elevator based on big data of elevator operation and maintenance, and involves the establishment of a model and the innovation of an algorithm. Background technique [0002] With the continuous improvement of my country's urbanization level and people's living standards, the number of elevators has shown a blowout growth and their use has become more frequent. As a means of transportation, elevators have become inseparable from the daily life of the people, so elevator safety has become a livelihood project that the masses care about and the media pay attention to. In recent years, elevator safety accidents have occurred from time to time, such as the elevator cannibalism incident, the sudden fall of the car elevator, etc., which have left a great psychological shadow on the people. The frequent occurrence of elevator safety incid...

Claims

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Application Information

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IPC IPC(8): B66B5/00
CPCB66B5/0037
Inventor 石振锋李琪孙尚
Owner HARBIN INST OF TECH
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