System of monitoring handrail for a passenger conveyer device, a passenger conveyer device and monitoring method thereof

US10173864B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10173864-B2
Application numberUS-201715663452-A
CountryUS
Kind codeB2
Filing dateJul 28, 2017
Priority dateJul 29, 2016
Publication dateJan 8, 2019
Grant dateJan 8, 2019

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A moving handrail monitoring system includes a sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to include: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction module configured to extract a tension degree feature of the moving handrail portion; and a judgment module configured to compare the extracted tension degree feature with a system preset interval, and judge whether a current tension degree of the moving handrail is normal.

First claim

Opening claim text (preview).

The invention claimed is: 1. A moving handrail monitoring system for a passenger conveying device, comprising: an imaging sensor and/or a depth sensing sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to comprise: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction module configured to extract a tension degree feature of the moving handrail portion; and a judgment module configured to compare the extracted tension degree feature with a system preset interval, and judge whether a current tension degree of the moving handrail is normal. 2. The moving handrail monitoring system according to claim 1 , wherein the tension degree feature comprises: a shape feature of the moving handrail and/or a position feature of the moving handrail and/or a curvature feature of the moving handrail; and/or the system preset interval comprises: a shape preset interval of the moving handrail and/or a position preset interval of the moving handrail and/or a curvature preset interval of the moving handrail. 3. The moving handrail monitoring system according to claim 1 , further comprising a temperature sensor, wherein the tension degree feature further comprises a temperature feature of the moving handrail. 4. The moving handrail monitoring system according to claim 1 , further comprising a speed sensor, wherein the tension degree feature further comprises a speed feature of the moving handrail. 5. The moving handrail monitoring system according to claim 1 , further comprising: an execution module that sends an alarm to a monitoring center and/or maintenance personnel based on the judgment of whether the current tension degree is normal made by the judgment module. 6. A passenger conveying device, comprising the moving handrail monitoring system of claim 1 , and a moving handrail, wherein the imaging sensor and/or the depth sensing sensor are/is arranged inside the passenger conveying device. 7. The passenger conveying device according to claim 6 , wherein the imaging sensor and/or the depth sensing sensor are/is arranged on a side portion of the moving handrail. 8. The passenger conveying device according to claim 6 , wherein the passenger conveying device comprises an escalator and a moving walk. 9. A moving handrail monitoring method of a passenger conveying device, comprising: a data frame acquisition step: acquiring a data frame based on an imaging sensor and/or a depth sensing sensor that sense/senses at least part of a moving handrail of the passenger conveying device; a target object recognition step: recognizing, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction step: extracting a tension degree feature of the moving handrail portion that serves as the target object; and a judgment step: comparing the extracted tension degree feature with a system preset interval and judging whether a current tension degree of the moving handrail is normal. 10. The monitoring method according to claim 9 , wherein the object feature extraction step further comprises: extracting a shape feature of the moving handrail; and/or extracting a position feature of the moving handrail; and/or extracting a curvature feature of the moving handrail. 11. The monitoring method according to claim 10 , wherein the judgment step further comprises: comparing the shape feature of the moving handrail with a shape preset interval of the moving handrail; and/or comparing the position feature of the moving handrail with a position preset interval of the moving handrail; and/or comparing the curvature feature of the moving handrail with a curvature preset interval of the moving handrail. 12. The monitoring method according to claim 9 , wherein the object feature extraction step further comprises: extracting a temperature feature of the moving handrail; and/or extracting a speed feature of the moving handrail. 13. The monitoring method according to claim 12 , wherein the judgment step further comprises: comparing the temperature feature of the moving handrail with a temperature preset interval of the moving handrail; and/or comparing the speed feature of the moving handrail with a speed preset interval of the moving handrail. 14. The monitoring method according to claim 9 , wherein the judgment step further comprises: when the tension degree feature falls in the system preset interval, the current tension degree of the moving handrail is normal; and when the tension degree feature does not fall in the system preset interval, the current tension degree of the moving handrail is abnormal. 15. The monitoring method according to claim 14 , further comprising when the tension degree feature does not fall in the system preset interval, judging that the current tension degree of the moving handrail is over-loose or over-tense. 16. The monitoring method according to claim 9 , wherein the judgment step further comprises: when the tension degree feature falls in the system preset interval, the current tension degree of the moving handrail is normal; when a time during which the tension degree feature is not in the system preset interval is less than a first preset time period, the current tension degree of the moving handrail is normal; and when a time during which the tension degree feature is not in the system preset interval is greater than or equal to the first preset time period, the current tension degree of the moving handrail is abnormal. 17. The monitoring method according to claim 9 , further comprising: an execution step: sending an alarm to a monitoring center and/or maintenance personnel based on the judgment of whether the current tension degree is normal made in the judgment step. 18. A moving handrail monitoring system for a passenger conveying device, comprising: an imaging sensor and/or a depth sensing sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein, the processing device is configured to comprise: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; a reference background that comprises a normal zone and an abnormal zone; and a judgment module configured to judge whether a current tension degree of the moving handrail is normal based on whether the moving handrail portion falls in the normal zone and/or abnormal zone of the reference background. 19. The moving handrail monitoring system according to claim 18 , wherein when the moving handrail portion falls in the normal zone of the reference background, the current tension degree of the moving handrail is normal; and/or when the moving handrail portion falls in the abnormal zone of the reference background, the current tension degree of the moving handrail is abnormal; and/or when t

Assignees

Inventors

Classifications

  • Escalators · CPC title

  • B66B23/20Primary

    for handrails · CPC title

  • Methods or algorithms therefor · CPC title

  • B66B25/006Primary

    Monitoring for maintenance or repair (for security reasons B66B29/005) · CPC title

  • Accessories for escalators, or moving walkways, e.g. for sterilising or cleaning (for safety B66B29/00) · CPC title

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What does patent US10173864B2 cover?
A moving handrail monitoring system includes a sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to include: a target object recogni…
Who is the assignee on this patent?
Otis Elevator Co
What technology area does this patent fall under?
Primary CPC classification B66B23/20. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Jan 08 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).