IN-SITU SYSTEM FOR HEALTH MONITORING OF ELEVATOR SYSTEM
20200122974 ยท 2020-04-23
Inventors
Cpc classification
H04N23/00
ELECTRICITY
B66B9/00
PERFORMING OPERATIONS; TRANSPORTING
International classification
B66B7/12
PERFORMING OPERATIONS; TRANSPORTING
B66B5/00
PERFORMING OPERATIONS; TRANSPORTING
B66B9/00
PERFORMING OPERATIONS; TRANSPORTING
B66B1/34
PERFORMING OPERATIONS; TRANSPORTING
Abstract
A health monitoring system for a component of an elevator system includes one or more image sensing devices configured to capture images of the component, an analytic system operably connected to the one or more image sensing devices, the analytic system configured to identify one or more abnormal conditions of the component from the captured images, and a warning system configured to produce one or more recommended courses of action based on the identification of the abnormal conditions.
Claims
1. A health monitoring system for a component of an elevator system, comprising: one or more image sensing devices configured to capture images of the component; an analytic system operably connected to the one or more image sensing devices, the analytic system configured to identify one or more abnormal conditions of the component from the captured images; and a warning system configured to produce one or more recommended courses of action based on the identification of the abnormal conditions.
2. The health monitoring system of claim 1, wherein the one or more image sensing devices capture one or more still or video images.
3. The health monitoring system of claim 1, wherein the one or more image sensing devices are disposed at one or more sheaves of the elevator system.
4. The health monitoring system of claim 1, wherein the analytic system utilizes one or more of a convolutional neural network or a recurrent neural network in identifying the one or more abnormal conditions.
5. The health monitoring system of claim 1, wherein the component is a tension member of the elevator system.
6. The health monitoring system of claim 5, wherein the one or more abnormal conditions include one or more of cracks, pitting, excessive wear, foreign object damage or wire protrusion.
7. The health monitoring system of claim 5, wherein the analytic system is configured to identify a tension member location of the one or more abnormal conditions.
8. The health monitoring system of claim 7, wherein the tension member location is obtained via communication between the analytic system and an elevator system control system.
9. The health monitoring system of claim 1, wherein the one or more image sensing devices is connected to the analytic system via a cloud.
10. An elevator system, comprising: a hoistway; an elevator car movable along the hoistway; a tension member operably connected to the elevator car to move the elevator car along the hoistway; and a health monitoring system for the tension member, including: one or more image sensing devices configured to capture images of the tension member; an analytic system operably connected to the one or more image sensing devices, the analytic system configured to identify one or more abnormal conditions of the tension member from the captured images; and a warning system configured to produce one or more recommended courses of action based on the identification of the abnormal conditions.
11. The elevator system of claim 10, wherein the one or more image sensing devices capture one or more still or video images.
12. The elevator system of claim 10, wherein the one or more image sensing devices are disposed at one or more sheaves of the elevator system.
13. The elevator system of claim 10, wherein the one or more abnormal conditions include one or more of cracks, pitting, excessive wear, foreign object damage, or wire protrusion.
14. The elevator system of claim 10, wherein the analytic system utilizes one or more of a convolutional neural network or a recurrent neural network in identifying the one or more abnormal conditions.
15. The elevator system of claim 10, wherein the analytic system is configured to identify a tension member location of the one or more abnormal conditions.
16. The elevator system of claim 15, wherein the tension member location is obtained via communication between the analytic system and an elevator system control system.
17. A method of health monitoring of a tension member of an elevator system, comprising: capturing one or more images of the tension member; identifying one or more abnormal conditions of the tension member via analysis of the one or more images of the tension member at an analytic system; and recommending one or more courses of action based on the identification of the one or more abnormal conditions at a warning system.
18. The method of claim 17, wherein the one or more courses of action include an onsite visual inspection of the tension member.
19. The method of claim 18, further comprising feeding back results of the visual inspection to the analytic system and to the warning system to improve the accuracy thereof.
20. The method of claim 17, wherein the analytic system utilizes one or more of a convolutional neural network or a recurrent neural network in identifying the one or more abnormal conditions.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0024] The following descriptions should not be considered limiting in any way. With reference to the accompanying drawings, like elements are numbered alike:
[0025]
[0026]
[0027]
[0028]
[0029]
[0030]
DETAILED DESCRIPTION
[0031] A detailed description of one or more embodiments of the disclosed apparatus and method are presented herein by way of exemplification and not limitation with reference to the Figures.
[0032] Shown in
[0033] In some embodiments, the elevator system 10 could use two or more belts 16 for suspending and/or driving the elevator car 14. In addition, the elevator system 10 could have various configurations such that either both sides of the one or more belts 16 engage the sheaves 18, 52 or only one side of the one or more belts 16 engages the sheaves 18, 52. The embodiment of
[0034] For example, in another embodiment illustrated in
[0035] The belts 16 are constructed to meet belt life requirements and have smooth operation, while being sufficiently strong to be capable of meeting strength requirements for suspending and/or driving the elevator car 14 and counterweight 22.
[0036]
[0037] Exemplary materials for the jacket 28 include the elastomers of thermoplastic and thermosetting polyurethanes, thermoplastic polyester elastomers, ethylene propylene diene elastomer, chloroprene, chlorosulfonyl polyethylene, ethylene vinyl acetate, polyamide, polypropylene, butyl rubber, acrylonitrile butadiene rubber, styrene butadiene rubber, acrylic elastomer, fluoroelastomer, silicone elastomer, polyolefin elastomer, styrene block and diene elastomer, natural rubber, or combinations thereof. Other materials may be used to form the jacket material 28 if they are adequate to meet the required functions of the belt 16.
[0038] The belt 16 has a belt width 26 and a belt thickness 32, with an aspect ratio of belt width 26 to belt thickness 32 greater than one. The belt 16 further includes a back side 34 opposite the traction side 30 and belt edges 36 extending between the traction side 30 and the back side 34. While six tension elements 24 are illustrated in the embodiment of
[0039] Referring now to
[0040] Referring again to
[0041] The analytic system 64 is configured to receive video or still images from the image sensing devices 62 of the jacket 28. The analytic system 64 performs image analysis of the images to determine if any abnormal conditions of the jacket 28, such as transverse or longitudinal cracking, extreme wear conditions, foreign object damage or the like are present in the images. In some embodiments, the analytic system 64 utilizes, for example, convolutional neural networks (CNN) or recurrent neural networks (RNN) to build a model of identifiable conditions and to evaluate the received images.
[0042] In some embodiments, the analytic system 64 not only identifies abnormal conditions, but identifies locations on the belt 16 of the abnormal conditions. This may be achieved via analyzing car 14 position data at the time the image was captured and correlating the car 14 position with a location on the belt 16. The car position data is acquired by, for example, communication between the analytic system 64 and an elevator system controller 20.
[0043] With abnormal conditions identified, a warning system 66 operably connected to the analytic system 64 may communicate a report of abnormal jacket 28 conditions identified and/or a recommended course of action to service personnel, who may be located remotely from the elevator system 10. Such a recommended course of action may be dependent on quantity and/or severity of the abnormal conditions identified and may include a recommended date for onsite inspection of the belt 16 by the service personnel to confirm the indicated jacket conditions.
[0044] Referring now to
[0045] The system and method disclosed herein allow for continuous monitoring of the condition of the elevator belt 16, with a considerable savings in time and labor relative to a system which relies solely on manual visual inspection of the belt 16.
[0046] The term about is intended to include the degree of error associated with measurement of the particular quantity based upon the equipment available at the time of filing the application.
[0047] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the present disclosure. As used herein, the singular forms a, an and the are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms comprises and/or comprising, when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, element components, and/or groups thereof.
[0048] While the present disclosure has been described with reference to an exemplary embodiment or embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the present disclosure. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the present disclosure without departing from the essential scope thereof. Therefore, it is intended that the present disclosure not be limited to the particular embodiment disclosed as the best mode contemplated for carrying out this present disclosure, but that the present disclosure will include all embodiments falling within the scope of the claims.