Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method and device for detecting loss of bicycle

A bicycle and vehicle body technology, which is applied in the field of bicycle wear and tear detection, can solve the problems of failure and loss that cannot be warned in advance, and achieve the effects of improving accuracy, improving detection efficiency, and high detection accuracy

Pending Publication Date: 2021-12-31
QINGDAO MAGENE INTELLIGENCE TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the existing bicycle wear and tear detection methods are post-event detection, which cannot give early warning of possible failures and wear and tear.

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
  • Method and device for detecting loss of bicycle
  • Method and device for detecting loss of bicycle
  • Method and device for detecting loss of bicycle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] like figure 1 As shown, a method for detecting bicycle wear and tear includes the following steps:

[0060] Step S100, offline collection of historical riding characteristics and vehicle body loss characteristics associated with historical riding characteristics, and build a characteristic database, the riding characteristics include speed characteristics, torque characteristics, cadence characteristics, acquired by the first sensor The first acceleration characteristic of and the second acceleration characteristic acquired by the second sensor.

[0061] Use known test vehicles with different wear conditions to collect historical riding characteristics, and the wear conditions are vehicle body wear characteristics.

[0062] The construction method of the characteristic database is:

[0063] Step S101, perform band-stop sampling on the acceleration feature, and obtain the acceleration noise feature through calculation, the acceleration feature includes a first accelera...

Embodiment 2

[0089] A device for detecting bicycle wear and tear, comprising a sensor for monitoring the riding characteristics, a display for displaying the riding characteristics and a processor, wherein the processor is respectively connected to the sensor and the display for communication The real-time riding characteristics are processed, and the processed real-time riding characteristics are displayed on the display. At the same time, the processor presets the historical riding characteristics and the vehicle body loss characteristics associated with the historical riding characteristics, and processes The controller compares the historical riding characteristics with the real-time riding characteristics, and outputs and displays the body loss characteristics associated with the final output results.

[0090]It also includes a GPS module communicated with the processor for obtaining the location characteristics of the bicycle, and the location characteristics are displayed through the...

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 relates to a method and device for detecting bicycle loss, and belongs to the technical field of bicycles and spinning bicycles, the method is divided into an off-line stage and an on-line stage, the work of the off-line stage is to collect riding characteristics and loss characteristics of various lost bicycle bodies, and construct a characteristic database; the online stage is a stage of identifying the state in real time, a user does not know the loss condition of the bicycle, and the loss condition of the detected bicycle body is detected by using the riding characteristics acquired in real time. On the premise of not depending on additional detection equipment, the loss condition of the bicycle is calculated by acquiring the riding characteristics and analyzing and processing the riding characteristics, and fault early warning is carried out; and the method enables a user to know the loss condition of the bicycle at the first time, achieves the timely maintenance, is low in cost, is non-invasive, is easy to maintain, and is high in prediction accuracy.

Description

technical field [0001] The invention belongs to the technical field of bicycles and spinning bicycles, and in particular relates to a method and device for detecting bicycle wear and tear. Background technique [0002] With the emphasis on environmental protection in recent years, in order to promote the concept of energy conservation and environmental protection, various countries advocate the widespread use of bicycles as a means of transportation to reduce energy consumption. Furthermore, as people gradually pay attention to sports, cycling has become a widely popular sport, and bicycles are listed as one of the important competitions. [0003] Cycling has a strong demand for quantification. With the development of smart phones, the Internet and sensor technology, sports quantification has become easier and easier. During the cycling exercise, the user can clearly grasp the speed, acceleration, pedaling frequency and power. However, most of the existing bicycle wear and...

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 Applications(China)
IPC IPC(8): G01M17/007
CPCG01M17/007
Inventor 冯茗杨于鉴
Owner QINGDAO MAGENE INTELLIGENCE 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
Eureka Blog
Learn More
PatSnap group products