Braking force monitoring method for elevator traction machine based on big data

A technology of elevator traction and big data, applied in elevators, transportation and packaging, etc., can solve the problems of inadvertent elevator fault monitoring, inability to achieve normal operation, and the detection method is not time-sensitive, and achieves the effect of facilitating elevator monitoring work.

Active Publication Date: 2019-08-16
安徽奥里奥克科技股份有限公司
View PDF8 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a big data-based elevator traction mechanism power monitoring method, which solves the problem that the existing detection method does not have timeliness, and the shortest time interval for each elevator maintenance is to test once a week , which can only avoid the long-term use of the internal structure of the elevator, but cannot monitor unexpected elevator fail...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Braking force monitoring method for elevator traction machine based on big data
  • Braking force monitoring method for elevator traction machine based on big data
  • Braking force monitoring method for elevator traction machine based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] see Figure 1-3, the embodiment of the present invention provides a technical solution: a big data-based elevator traction mechanism power monitoring method, which specifically includes the following steps:

[0030] S1. Installation and wiring of monitoring equipment: First, install the corresponding output power sensor on the frequency converter of the elevator traction machine brake to be monitored, and at the same time, integrate the connection of th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a braking force monitoring method for an elevator traction machine based on big data. The method comprises the following specific steps: S1, mounting and wiring monitoring equipment; S2, sequencing and storing monitoring data; S3, extracting the monitoring data; S4, generating a standard reference power range value; S5, carrying out contrastive analysis of the monitoring data; and S6, monitoring remote monitoring staff in real time. The invention relates to the technical field of elevator monitoring. According to the braking force monitoring method for the elevator traction machine based on big data, the time-validity of elevator monitoring can be improved greatly, troubleshooting in long-term use of an inner structure of an elevator can be avoided, accidental elevator failures are monitored, too, so that the elevator traction machine is monitored in real time in a using process of the elevator. The monitoring data is analyzed and transmitted, so that a purposeof finding failures quickly and maintaining the elevator by elevator monitoring staff is achieved by monitoring the elevator in real time.

Description

technical field [0001] The invention relates to the technical field of elevator monitoring, in particular to a method for monitoring power of an elevator traction mechanism based on big data. Background technique [0002] More and more elevators have entered people's lives and gradually become an indispensable facility in people's daily production and life. It not only speeds up people's life rhythm, but also improves people's work efficiency and improves people's living conditions. It plays an irreplaceable important role in social and economic development. It is a special equipment directly related to the safety of people's lives and property. The traction machine is one of the core components of the elevator. For the traction machine, the brake is even more important. One of the components, the function of the brake is to keep the elevator car in a static state when the elevator is leveling. When the elevator fails, the car can be decelerated to stop and maintain its stat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): B66B5/00
CPCB66B5/0031B66B5/0025
Inventor 赵卫刁庆娟徐丽
Owner 安徽奥里奥克科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products