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Traction elevator health state characteristic parameter extraction method based on big data analysis

A technology of health status and characteristic parameters, applied in elevators, transportation and packaging, etc., can solve the problems of extracting system methods, there is no characteristic parameters of health status of traction drive elevators, etc., and achieve the effect of improving the level of supervision and management

Active Publication Date: 2019-06-18
BEIJING SPECIAL EQUIP INSPECTION & TESTING CENT
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, the running condition of the elevator is known through regular inspection of the elevator. At present, there is no systematic method for extracting the characteristic parameters of the health state of the traction-driven elevator.

Method used

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  • Traction elevator health state characteristic parameter extraction method based on big data analysis
  • Traction elevator health state characteristic parameter extraction method based on big data analysis
  • Traction elevator health state characteristic parameter extraction method based on big data analysis

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Embodiment Construction

[0013] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0014] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...

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Abstract

The invention provides a traction elevator health state characteristic parameter extraction method based on big data analysis. The method comprises the following steps of determining the risk distribution condition of a traction elevator; determining at least one risk point of the traction elevator based on the risk distribution condition; determining the weight coefficients corresponding to the at least one risk point based on a judgment matrix; determining the health state characteristic parameters required to be extracted by the traction elevator on the basis of the weight coefficients corresponding to the at least one risk point; determining an extraction mode of the health state characteristic parameters based on the signal types of the health state characteristic parameters. According to the traction elevator health state characteristic parameter extraction method, the operation condition of the elevator is known by carrying out on-line monitoring on the elevator, a data basis isprovided for the intelligent direction development of the elevator, the operation state and the problem of the elevator can be clearly known on the basis of the health state characteristic parameters, potential safety hazards existing in the elevator can be found in time, and the elevator supervision level related to public safety is improved.

Description

technical field [0001] The present application relates to the technical field of special equipment safety detection, and in particular to a method for determining characteristic parameters of a traction drive elevator's health state based on big data analysis. Background technique [0002] Elevators are widely used in people's lives. While it brings convenience and speed to people, safety accidents are also constantly occurring. The types of faults that exist in elevators mainly include: trapped people in elevators, uneven floors in slides, door switch problems, intercom problems, fault outages, abnormal noises and movements, untimely maintenance and other problems. In the prior art, the running condition of the elevator is learned by periodically inspecting the elevator. At present, there is no systematic method for extracting the characteristic parameters of the health state of the traction-driven elevator. Contents of the invention [0003] In view of this, the present...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B66B5/00
Inventor 陈辰邱志梅薛艳梅夏立荣杨海峰李立詹桂川刘博文窦广春吕凌飞
Owner BEIJING SPECIAL EQUIP INSPECTION & TESTING CENT
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