Elevator early warning and maintenance system and method based on cloud aiot technology

An elevator and cloud technology, applied in transmission systems, electrical components, elevators, etc., can solve the problems of limited application scope and brand, incompatibility with elevators, etc., and achieve the effect of high early warning accuracy and convenient use.

Active Publication Date: 2022-03-29
G TECH CO LTD
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are also some elevator companies that carry out fault monitoring and early warning maintenance technology for elevators. However, in the existing technology, the source of system monitoring data is mostly based on the sensors installed in the elevator control system itself. The scope of application of this system is limited by the elevator brand. When using If a person uses multiple brands of elevators at the same time, one early warning system cannot be compatible with all elevators

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
  • Elevator early warning and maintenance system and method based on cloud aiot technology
  • Elevator early warning and maintenance system and method based on cloud aiot technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Such as figure 1 As shown, the elevator early warning and maintenance system based on cloud AIoT technology includes perception layer 1, edge layer 2, platform layer 3 and application layer 4.

[0043] Perception layer 1 is used to obtain basic operating data of elevator components. Specifically, the sensing layer 1 includes a sensor module 11 for converting physical signals containing basic operating data of elevator components into analog weak electrical signals, an isolation module 12 for isolating and integrating analog weak electrical signals into electrical signals of a unified format, and A signal conditioning module 13 that converts electrical signals in a uniform format into digital data. In the actual device system deployment, the sensor module 11 is mainly distributed in the four areas of the elevator machine room, the hoistway, the car and the pit, and collects the physical signals containing the basic operating data in the relevant elevator components in r...

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

This application provides an elevator early warning and maintenance system based on cloud AIoT technology, including a perception layer, an edge layer, a platform layer and an application layer. The perception layer is used to obtain basic operating data of elevator components. The edge layer is used to obtain the basic operating data of elevator components from the perception layer and perform edge calculation on the data. The platform layer includes an IoT access module for accessing the basic operating data of elevator components after edge computing, a database module for scrolling and storing the data accessed by the IoT access module, and a database module for calling data in the database module AI analysis module for AI modeling analysis. The application layer is used to receive and display the analysis results of AI modeling analysis. This application uses the Internet of Things (IoT) technology to obtain the basic operating data of elevator components through the perception layer, without being limited to the sensors of the elevator control system to obtain monitoring data, so it can be compatible with elevators of different brands and is convenient to use.

Description

【Technical field】 [0001] This application relates to the field of elevator technology, in particular to an elevator early warning and maintenance system and method based on cloud AIoT technology. 【Background technique】 [0002] With the development of the economy and the continuous expansion of the city scale, the number of high-rise residences such as residences, hotels, and office buildings has continued to increase, and the number of elevators installed and used has also increased. While the use of elevators brings convenience to people's access to high-rise buildings, the casualties and economic losses caused by elevator failures are also increasing. Therefore, how to effectively monitor the safe operation of elevators and eliminate various hidden dangers of elevator failures in time has become an important issue that elevator manufacturers, users, and labor safety supervision departments at all levels need to solve urgently. At present, there are also some elevator com...

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
Patent Type & Authority Patents(China)
IPC IPC(8): B66B3/00B66B5/00B66B5/02H04L67/12H04L67/10
CPCB66B5/0025B66B5/0031B66B5/0037B66B5/02B66B3/00H04L67/10
Inventor 刘光耀李灿熙张益健
Owner G TECH CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap