Wheel conversion method based on big data analysis for box bottom

A big data and wheel technology, applied in the field of big data, can solve the problem of lack of push adaptive control mechanism for trolley cases

Inactive Publication Date: 2018-12-18
张亮
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the technical problem that the trolley case lacks an effective push adaptive control mechanism, the present invention provides a method for switching wheels at the bottom of the case based on big data analysis, and adopts an image recognition mechanism based on big data analysis to reduce fatigue of the trolley case holder Level to conduct on-site detection, so that when the current wheels of the trolley case are too tired, replace the anti-skid wheels with resistance-resistant wheels to increase the pushing speed of the trolley case; among them, based on the fitting results of each target shape in the image, Obt...

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
  • Wheel conversion method based on big data analysis for box bottom

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0017] Users of big data analysis include big data analysis experts and ordinary users, but the most basic requirement of both of them for big data analysis is visual analysis, because visual analysis can intuitively present the characteristics of big data, and at the same time it can be very easily used Readers' acceptance is as simple and clear as talking through pictures.

[0018] The theoretical core of big data analysis is the data mining algorithm. Various data mining algorithms can more scientifically present the characteristics of the data itself based on different data types and formats. It is precisely because these are recognized by statisticians all over the world. Various statistical methods (which can be called truth) can go deep into the data and dig out the recognized value.

[0019] Another aspect is that these data mining algorithms ca...

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 case bottom wheel conversion method based on big data analysis. The method includes converting a bottom wheel of a cabinet using a bottom wheel conversion system based on big data analysis. The bottom wheel conversion system based on big data analysis includes a wheel switching device for replacing a current wheel of a tie rod cabinet from an overcoming resistance wheelto an anti-skid wheel upon receiving an anti-skid switching command. The wheel switching device is also used for replacing the current wheel of the pull rod case by an anti-skid wheel when receiving the overcoming resistance switching command; an accommodating space arranged at the bottom of the pull rod box for accommodating the resistance wheel or the anti-skid wheel; a contour sharpening devicefor performing the following contour sharpening actions based on the big data analysis; a DSP process chip is used for issuing an overcoming resistance switching command when the fatigue level exceeds the limit, and for issuing an anti-skid switching command when the fatigue level doe not exceed the limit.

Description

technical field [0001] The invention relates to the field of big data, in particular to a method for converting wheels at the bottom of a box based on big data analysis. Background technique [0002] One of the ultimate application fields of big data analysis is predictive analysis, mining characteristics from big data, and establishing scientific models, and then bringing in new data through the model to predict future data. [0003] The diversification of unstructured data brings new challenges to data analysis. We need a set of tools to systematically analyze and refine data. Semantic engines need to be designed to be artificially intelligent enough to actively extract information from data. [0004] Data quality and data management. Big data analysis is inseparable from data quality and data management. High-quality data and effective data management can ensure the authenticity and value of analysis results, whether in academic research or in commercial applications. ...

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): G06K9/62G06K9/40
CPCG06V10/30G06F18/2163G06F18/2193
Inventor 张亮
Owner 张亮
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